Bull Trend Indicator with Buy Signal on Chart (BTI wbs)Bull Trend Indicator with Buy Signal on Chart (BTI wbs)
Purpose:
- With so many coins/stocks to choose from, which ones do you buy to get profits ($) ? Enter BTI, you can use this indicator to find coins/stocks that have high chance of being profitable. The indicator finds potentially profitable coins/stocks and signals "buy"on the chart when it does. Best way to test this indicator is to load the top coins of the day and see how the indicator performs on past data. Emails/alerts can also be set on your favorite coins so that you get alerted/receive emails when its time to buy.
Some notes:
this is a minor modification of the original Bull Trend indicator with clear "buy" text added to plot on chart
- indicator is for crypto and stocks
- attempts to find bullish coins/stocks that will give maximum profits
- only produces buy signal on chart when the program estimates it will be bullish
- test this against the top coins of the day to see how it works, you will see recent buy signals which gives you time to buy
- test this against worst coins of the day and you will see there are no buy signals generated on down days which avoids buying
- test this against best performing stocks of the year and you will see plenty of buy signals to get profit
- play around with the time frames (usually 1hr, 2hr works for crypto, experiment with time)
- the shorter the timeframe used the more reliable is the calculation, but the disadvantage is it could be too late to buy so try to get a balance timing and accuracy
- for stocks could use longer time frame (usually 1 day)
- if the indicator does not plot, that means data is insufficient to do the calculations, so lower the timeframe until you get plots
- sorry by subscription only, message me if interested
- limited free trials
"profitable" için komut dosyalarını ara
Intelligent Volume-weighted Moving Average (AI)Introduction
This indicator uses machine learning (Artificial Intelligence) to solve a real human problem.
The volume-weighted moving average (VWMA) is one of the most used indicators on the planet, yet no one really knows what pair of volume-weighted moving average lengths works best in combination with each other. A reason for this is because no two VWMA lengths are always going to be the best on every instrument, time-frame, and at any given point in time.
The "Intelligent Volume-weighted Moving Average" solves the moving average problem by adapting the period length to match the most profitable combination of volume-weighted moving averages in real time.
How does the Intelligent Volume-weighted Moving Average work?
The artificial intelligence that operates these moving average lengths was created by an algorithm that tests every single combination across the entire chart history of an instrument for maximum profitability in real-time.
No matter what happens, the combination of these volume-weighted moving averages will be the most profitable.
Can we learn from the Intelligent Volume-weighted Moving Average?
There are many lessons to be learned from the Intelligent VWMA. Most will come with time as it is still a new concept. Adopting the usefulness of this AI will change how we perceive moving averages to work.
Limitations
This indicator does not change what has already been plotted and does not repaint in any way shape or form which means it is excellent for trading in real-time!
Ultimately, there are no limiting factors within the range of combinations that has been programmed. The volume-weighted moving averages will operate normally, but may change lengths in unexpected ways - maybe it knows something we don't?
Thresholds
The range of VWMA lengths is between 5 to 40.
The black crosses can be turned off in the settings panel.
Test this indicator!
I am also publishing tools that can be used to back-test this indicator and understand what period length is currently being used.
There will be many more updates to come so stay tuned!
Updated documentation and access to this indicator can be found at www.kenzing.com
Intelligent Exponential Moving Average (AI)Introduction
This indicator uses machine learning (Artificial Intelligence) to solve a real human problem.
The Exponential Moving Average (EMA) is one of the most used indicators on the planet, yet no one really knows what pair of exponential moving average lengths works best in combination with each other.
A reason for this is because no two EMA lengths are always going to be the best on every instrument, time-frame, and at any given point in time.
The "Intelligent Exponential Moving Average" solves the moving average problem by adapting the period length to match the most profitable combination of exponential moving averages in real time.
How does the Intelligent Exponential Moving Average work?
The artificial intelligence that operates these moving average lengths was created by an algorithm that tests every single combination across the entire chart history of an instrument for maximum profitability in real-time.
No matter what happens, the combination of these exponential moving averages will be the most profitable.
Can we learn from the Intelligent Moving Average?
There are many lessons to be learned from the Intelligent EMA. Most will come with time as it is still a new concept. Adopting the usefulness of this AI will change how we perceive moving averages to work.
Limitations
Ultimately, there are no limiting factors within the range of combinations that has been programmed. The exponential moving averages will operate normally, but may change lengths in unexpected ways - maybe it knows something we don't?
Thresholds
The range of exponential moving average lengths is between 5 to 40.
Additional coverage resulted in TradingView server errors.
Future Updates!
Soon, I will be publishing tools to test the AI and visualise what moving average combination the AI is currently using.
Intelligent Moving Average (AI)
Introduction
This indicator uses machine learning (Artificial Intelligence) to solve a real human problem.
The Moving Average is the most used indicator on the planet, yet no one really knows what pair of moving average lengths works best in combination with each other.
A reason for this is because no two moving averages are always going to be the best on every instrument, time-frame, and at any given point in time.
The " Intelligent Moving Average " solves the moving average problem by adapting the period length to match the most profitable combination of moving averages in real time.
How does the Intelligent Moving Average work?
The artificial intelligence that operates these moving average lengths was created by an algorithm that tests every single combination across the entire chart history of an instrument for maximum profitability in real-time.
No matter what happens, the combination of these moving averages will be the most profitable.
Can we learn from the Intelligent Moving Average?
There are many lessons to be learned from the Intelligent Moving Average. Most will come with time as it is still a new concept.
Adopting the usefulness of this AI will change how we perceive moving averages to work.
Limitations
Ultimately, there are no limiting factors within the range of combinations that has been programmed. The moving averages will operate normally, but may change lengths in unexpected ways - maybe it knows something we don't?
Thresholds
The range of moving average lengths is between 5 to 40.
Additional coverage resulted in TradingView server errors.
Future Updates!
Soon, I will be publishing tools to test the AI and visualise what moving average combination the AI is currently using.
cryptomars 1.0 Concussion trend alarm Description:
1. In the indicator, there is an orange signal that fluctuates linearly. It is a buy signal when it goes from bottom to top. When the signal line remains in the upper position, it indicates a multi-party trend.
2. When it goes from top to bottom, it indicates a sell signal. When the signal line remains below, it indicates a sales trend.
3. Depending on the time level, when the position of the signal line changes, determine whether the current candle is completed or not according to the time level of the chart you selected to determine the signal. For example, if you select a chart level of 5 meters, then when the signal line changes, for example, it will send a sell signal from top to bottom. At this time, please do not rush to sell. You should wait for this 5 meter candlestick to complete. When the candle is over and the next candle is started, if the signal line remains in the top-down form, the sell signal is normal and you can sell it.
Because the position of the signal appears, it is the location of the sale. During the completion of the candlestick , the signal may disappear after disappearing. We only have to wait for a while to get a more stable deal.
4. The alarm setting is very simple. There are two lines in the indicator. One is the orange signal line that fluctuates up and down, and the other is the fixed zero line of “zero”.
We set it in the alarm. When the signal line passes "zero" from the top, the short signal is sent only when the candle map is completed. When the signal line passes "zero" from "up" below, the signal is sent for a long time when the candlestick is completed.
One trick, the appearance of the signal, is that the price runs in one direction for a while, so it appears at or near the bottom. Because, when we have already made a profit in the transaction, we can make a profit in advance, and we do not need to wait for the opposite signal to stop the profit and reduce the risk of profit retracement.
Because in this market, the fluctuations are very large, and the people who compete are also very fierce. What we need to do is to make every transaction as possible, and we are all profitable. If we sell and find that the price is still rising, please don't feel sorry, don't consider eating all the profits.
6. When the signal appears, in most cases, even in the impact trend, it will still run a distance in the direction of the signal, that is, you will profit, so please close the position and make a profit in time. Otherwise, when the price volatility is too small, you miss the profit point, the price starts to run in the opposite direction, and you may change from profit to loss.
BITMEX's trailing stop loss is a great feature, please use it flexibly.
7, if it is a shock trend, please try not to trade.
8. We recommend that you turn on the “cryptomars 3.0” and “cryptomars 2.0” indicators. No matter who signs the trade first, you can trade, which can help you get more profit.
9. Remember, I hope this indicator will be your powerful assistant, but please don't rely on it completely. Learning more trading knowledge and skills is even more important. Therefore, when we consider the profitable position, you can use your trading skills, MACD , KDJ, etc. to assist and profit in a more suitable position.
cryptomars 2.0 short alarmDescription:
1. In the indicator, there is an orange signal that fluctuates linearly. It is a buy signal when it goes from bottom to top. When the signal line remains in the upper position, it indicates a multi-party trend.
2. When it goes from top to bottom, it indicates a sell signal. When the signal line remains below, it indicates a sales trend.
3. Depending on the time level, when the position of the signal line changes, determine whether the current candle is completed or not according to the time level of the chart you selected to determine the signal. For example, if you select a chart level of 5 meters, then when the signal line changes, for example, it will send a sell signal from top to bottom. At this time, please do not rush to sell. You should wait for this 5 meter candlestick to complete. When the candle is over and the next candle is started, if the signal line remains in the top-down form, the sell signal is normal and you can sell it.
Because the position of the signal appears, it is the location of the sale. During the completion of the candlestick , the signal may disappear after disappearing. We only have to wait for a while to get a more stable deal.
4. The alarm setting is very simple. There are two lines in the indicator. One is the orange signal line that fluctuates up and down, and the other is the fixed zero line of “zero”.
We set it in the alarm. When the signal line passes "zero" from the top, the short signal is sent only when the candle map is completed. When the signal line passes "zero" from "up" below, the signal is sent for a long time when the candlestick is completed.
One trick, the appearance of the signal, is that the price runs in one direction for a while, so it appears at or near the bottom. Because, when we have already made a profit in the transaction, we can make a profit in advance, and we do not need to wait for the opposite signal to stop the profit and reduce the risk of profit retracement.
Because in this market, the fluctuations are very large, and the people who compete are also very fierce. What we need to do is to make every transaction as possible, and we are all profitable. If we sell and find that the price is still rising, please don't feel sorry, don't consider eating all the profits.
6. When the signal appears, in most cases, even in the impact trend, it will still run a distance in the direction of the signal, that is, you will profit, so please close the position and make a profit in time. Otherwise, when the price volatility is too small, you miss the profit point, the price starts to run in the opposite direction, and you may change from profit to loss.
BITMEX's trailing stop loss is a great feature, please use it flexibly.
7, if it is a shock trend, please try not to trade.
8. We recommend that you turn on the “cryptomars 3.0” and “cryptomars 1.0” indicators. No matter who signs the trade first, you can trade, which can help you get more profit.
9. Remember, I hope this indicator will be your powerful assistant, but please don't rely on it completely. Learning more trading knowledge and skills is even more important. Therefore, when we consider the profitable position, you can use your trading skills, MACD , KDJ, etc. to assist and profit in a more suitable position.
cryptomars alarm 3.0
Description:
1. In the indicator, there is an orange signal that fluctuates linearly. It is a buy signal when it goes from bottom to top. When the signal line remains in the upper position, it indicates a multi-party trend.
2. When it goes from top to bottom, it indicates a sell signal. When the signal line remains below, it indicates a sales trend.
3. Depending on the time level, when the position of the signal line changes, determine whether the current candle is completed or not according to the time level of the chart you selected to determine the signal. For example, if you select a chart level of 5 meters, then when the signal line changes, for example, it will send a sell signal from top to bottom. At this time, please do not rush to sell. You should wait for this 5 meter candlestick to complete. When the candle is over and the next candle is started, if the signal line remains in the top-down form, the sell signal is normal and you can sell it.
Because the position of the signal appears, it is the location of the sale. During the completion of the candlestick , the signal may disappear after disappearing. We only have to wait for a while to get a more stable deal.
4. The alarm setting is very simple. There are two lines in the indicator. One is the orange signal line that fluctuates up and down, and the other is the fixed zero line of “zero”.
We set it in the alarm. When the signal line passes "zero" from the top, the short signal is sent only when the candle map is completed. When the signal line passes "zero" from "up" below, the signal is sent for a long time when the candlestick is completed.
One trick, the appearance of the signal, is that the price runs in one direction for a while, so it appears at or near the bottom. Because, when we have already made a profit in the transaction, we can make a profit in advance, and we do not need to wait for the opposite signal to stop the profit and reduce the risk of profit retracement.
Because in this market, the fluctuations are very large, and the people who compete are also very fierce. What we need to do is to make every transaction as possible, and we are all profitable. If we sell and find that the price is still rising, please don't feel sorry, don't consider eating all the profits.
6. When the signal appears, in most cases, even in the impact trend, it will still run a distance in the direction of the signal, that is, you will profit, so please close the position and make a profit in time. Otherwise, when the price volatility is too small, you miss the profit point, the price starts to run in the opposite direction, and you may change from profit to loss.
BITMEX's trailing stop loss is a great feature, please use it flexibly.
7, if it is a shock trend, please try not to trade.
8. We recommend that you turn on the “cryptomars 2.0” and “cryptomars 1.0” indicators. No matter who signs the trade first, you can trade, which can help you get more profit.
9. Remember, I hope this indicator will be your powerful assistant, but please don't rely on it completely. Learning more trading knowledge and skills is even more important. Therefore, when we consider the profitable position, you can use your trading skills, MACD , KDJ, etc. to assist and profit in a more suitable position.
Inamdar Wave - Winning Wave
The **"Inamdar Wave"**, also known as the **"Winning Wave"**, is a cutting-edge market indicator designed to help traders ride the waves of momentum and capitalize on high-probability opportunities. With its unique ability to adapt to market shifts, the Inamdar Wave ensures you're always in sync with the market's most profitable moves, making it an indispensable tool for traders looking for consistent success.
### Key Features of the "Inamdar Wave":
1. **Dynamic Market Movement Detection**:
- The **Inamdar Wave** tracks the market’s momentum and identifies clear waves of movement, allowing traders to catch both upswings and downswings with ease.
- This indicator dynamically adjusts based on price action and volatility, ensuring you're always aligned with the market’s natural flow.
- Whether the market is trending or ranging, the **Inamdar Wave** keeps you on the right path, helping you surf the market's waves effortlessly.
2. **Highly Profitable Buy/Sell Signals**:
- The **Inamdar Wave** generates precise buy and sell signals that guide you to the most profitable entry and exit points.
- Its built-in filters ensure you avoid market noise, focusing only on high-probability trades that maximize your potential for profit.
- You’ll confidently enter trades at the start of each new wave, ensuring you ride the momentum for maximum gains.
3. **Visual Wave Highlighting**:
- Color-coded zones help you easily spot bullish (upward) and bearish (downward) waves.
- Green highlights signal upward waves, while red zones indicate downward waves, making it visually simple to recognize the current market direction.
- This feature allows for quick decision-making and a clear understanding of the market's direction at a glance.
4. **Tailored for Any Market Condition**:
- Whether you’re trading a calm or highly volatile market, the **Inamdar Wave** adapts to the changing conditions, ensuring consistent performance across all environments.
- Its flexibility allows it to work seamlessly with any asset class—stocks, forex, crypto, or commodities—making it an all-in-one solution for traders.
- The **Inamdar Wave**'s real-time adjustments keep it relevant regardless of market conditions or timeframes.
5. **Real-Time Alerts**:
- Get instant alerts when a new wave begins, whether it's a buy, sell, or wave reversal.
- You’ll never miss out on a profitable opportunity with real-time notifications that keep you one step ahead of the market.
- These alerts help you act quickly, maximizing the potential of every market movement.
### Inputs:
- **Wave Period**: Customize the sensitivity of the wave detection with adjustable periods to suit your trading style.
- **Signal Source**: Choose from different price sources to fine-tune how the **Inamdar Wave** reacts to market movements.
- **Signal Strength**: Control the sensitivity of wave detection to focus on only the strongest and most profitable moves.
- **Buy/Sell Signals**: Easily toggle buy/sell signals on your chart for enhanced clarity.
- **Wave Highlighting**: Turn visual wave highlights on or off, depending on your preference.
### Use Case:
The **Inamdar Wave** is perfect for traders looking to capture the most profitable waves in any market. Whether you're a short-term scalper or a long-term trend follower, this indicator keeps you in sync with the market’s natural rhythm, ensuring that you're always riding the winning wave. With its powerful buy/sell signals and dynamic wave detection, you'll be better positioned to take advantage of market momentum and secure consistent profits.
In conclusion, the **"Inamdar Wave"** is not just another indicator—it’s your key to riding the market’s most profitable waves with precision and confidence. By following the signals and staying in tune with the market’s natural flow, you’ll be able to maximize your gains and minimize your risks, ensuring a successful trading journey.
Period Dollar Cost Average BacktesterHere is a simple script to calculate the profits and other dollar cost average strategy statistics. This strategy was created to avoid asset price volatility, so the pump and dump scheme does not affect the portfolio. By dividing the investment amount into periods, the investor doesn’t need to analyze the market, fundamental analysis, or anything. The goal is to increase the asset holdings and avoid fast and robust price movements.
This indicator has some configurations.
Amount to buy: the amount to buy at each time
Broker fee %: the fee percentage that the broker has for spot trade
Frequency: the frequency of the investments. Example: 1 Day means that every day, it will buy an amount of the asset
Starting Date: when the indicator will start the investment simulation
Ending Date: when the indicator will end the investment simulation
InfoCell With/Height: it relates to the panel for view purposes. Change the values to fit better on your screen.
This indicator has three lines:
Total Invested (green): total amount invested at the end of the period
Total Net Profit (pink): total profit by converting the amount of the asset bought at the latest closing price
Holding Profits (yellow): the amount that would be in the portfolio if the investor had invested all the capital in a signal trade at the beginning of the period.
The statistics panel has some information to help you understand buying the asset in one or more trades. So, besides those three lines that were mentioned above, here are the other statistics:
Entry Price: The price of the asset when the first investment was made
Gross Profit: Total amount of profit, not excluding the losses
Gross Losses: Total amount of losses, not excluding the profits
Profit Factor: The Gross Profit divided by the Gross Loss. A value above 1 means it’s profitable.
Profit/Trades: Net profit per trade. This includes the broker fees.
Recovery Factor: The Net profit divided by the relative drawdown. The higher the recovery factor, the faster the recovery of a loss
Total Asset Bought: The amount of the asset that was bought at the end of the investment plan
Absolute Drawdown: The total amount of losses that made the account balance go below its initial value
Relative Drawdown: The max drawdown that occurred, no matter the account balance amount
Total Trades: number of times the investment was made in the selected period
Total Fee: total Fee that was spent on the total investment
Total Winning Trades: the total amount of winning trades. A trade is considered a winner if the net profit is up compared with the latest investment.
Total Losing Trades: the total amount of losing trades. A trade is considered a loser if the net profit is down compared to the latest investment.
Max consecutive wins: the max amount of consecutive winning trades
Max consecutive losses: the max amount of consecutive losing trades
The chart above uses the default configuration of the indicator. Placed on the BTCUSD market, taking the time range of January 1st, 2018 to January 1st, 2022, 4 years. Buying a BTC amount with 10 USDT every day in that period would generate a more than 500% profit. Compared to the profit amount by just holding the count, which was close to 350% profit, the dollar cost average by period would be much more profitable.
EMA width ratioUSE AT YOUR OWN RISK!!!
This is still an experimental script under development.
The script takes the Percentage change/ratio of shorter time frame EMA (for eg: 21) over the 200 period EMA and plots the widening.
This can be used as an indication of bullish or bearish momentum in a certain direction. Plotting an RSI on this indicator results in a much more correlated and smoother RSI to price which can be used to trade as follows.
When price is above 200EMA, longs when RSI on the EMA width ratio is in oversold zone is profitable. Buy at over sold and close at over bought.
When price is below 200EMA, shorts when RSI on the EMA width ratio is in overbought zone is profitable. Sell at over bought and close at over sold.
In the next versions I plan on implementing further improvements like:
1. Color coding direction of market
2. Combining RSI on EMA into a single indicator.
3. Converting indicator to a strategy.
Two EMA Cross+ IndicatorHello traders!
Today we gonna demonstrate out heuristic of classical EMA Indicator. We decided to simplify your trading staff and add some meta data. So, let’s look at it from the very beginning and initially speak about what EMA is and then I’ll tell you why our indicator is extremely convenient and useful.
So, what is EMA? An exponential moving average ( EMA ) is a type of moving average (MA) that places a greater weight and significance on the most recent data points. The exponential moving average is also referred to as the exponentially weighted moving average . An exponentially weighted moving average reacts more significantly to recent price changes than a simple moving average ( SMA ), which applies an equal weight to all observations in the period.
Key takeaways:
-The EMA is a moving average that places a greater weight and significance on the most recent data points.
-Like all moving averages, this technical indicator is used to produce buy and sell signals based on crossovers and divergences from the historical average.
As you know, EMA Cross is one of basic and most popular Entry Indicators. It’s kinda easy to understand and even easier to use. This indicator consists of two EMAs - fast (red line) and slow (blue line). Fast EMA is EMA of less length that the fast EMA (default parameter is 9). Thus, it reacts the price change more actively than the slow. We can say that it takes into consideration the most actual price movements. Speaking about slow EMA (default parameter is 30) it’s more inert and it’s more difficult to change its action vastly. We can say that the EMA «looks» at the historical data more accurate, but doesn’t forget about actual price movements.
But how it works? Trivial. When the fast EMA crosses the slow bellow, it provides bearish signal, whereas when it crosses it above, it’s bullish signal. Even more, we added some «confirmation» factor. As you know, when the price is above the slow EMA, the slow EMA plays the role of support line for price and means that the price is in uptrend. Thus, when we see the cross above and it takes place under the price, we called it «strong Bullish Signal». When the price is bellow the slow EMA, slow EMA is resistance. Thus, when we see the cross bellow and it’s under the slow EMA, we called it «strong Bearish Signal».
To make your trading process easier, we plotted the places of crosses on the chart and added the descriptions of the crosses. The flags mean the place of cross. The default parameters have nice backtest on 1H chart. However, you can also change them depending on your goals and the time period. The places of cross looks like flags (red flag is «bearish» cross, green - «bullish»). As you can see, it’s really convenient.
I hope you’ll enjoy our heuristic of classical EMA Cross. We are sure that the meta data that we are taking into consideration makes the signals more accurate and the deals more profitable. The SkyRock Team with support of Trading View try to make your trading process more successful and profitable. Every day we works in conjunction to boost both your skills and trading balance. We hope, it’s really useful for you, dear traders!
MCDX PlusMCDX Plus is an indicator to show the relative level of Profitable Chips, Floating Chips and Locked Chips for Stocks market.
Red Bars being Profitable Chips, Yellow Bars being Floating Chips and Green Bars being Locked Chips.
Profitable Chips represents investments, typically by bankers, accumulating shares when stock price is relatively low over a period of time, either during down trend or ranging. When price is moving up, the shares accumulated will start to make profit.
Locked chips being those bought at at a higher price, failed or unwillingly to cut loss and still holding them.
Floating chips being free flow tradable shares in the market, typically hold by intraday or short term traders.
The relative profitable level is calculated based on current market price versus the highest and lowest price over a look back period.
Typically, 100 days look back, which is sufficient to cover uptrend or downtrend.
In this indicator, I added in options for 34 days (Fibo numbe), 50 days, 100 days and user-input DIY look back period.
When Red Bar height is increasing, profitable level is increasing, stocks price is increasing with main funding is increasing.
Typically higher is better. More than 50% is preferred.
During a retrace or downtrend, the locked chips will lead to higher values of green bar.
Typically lower is better, 0 is preferred.
A simulated fund line (based on KDJ) and fund bull bear line are added to simulate the inflow and outflow of fund.
When fund line cross up bull bear line, it means the in flow of funding.
User can click to show in the setting.
A potential bottom catch alert based on volume and oversold situation are also added as reference.
A table with indicator name and values of profitable chips, floating chips and locked chips is added.
User can click to show or mute.
MCDX Plus is shown on DPIH (KLCI).
The Price chart shows the highest, lowest, average of 100day look back period, blue line being MA20.
MCDX's red bar is slightly over 50%, cross over the 10day Moving Average of profitable chips. Locked chips is 0.
We can also see fund cross over fund bull bear line briefly.
It is a positive movement.
User is recommend to do further technical analysis such as support and resistance, etc, to better understand trend.
Ideas to improve the scripts are welcome. Hope this help.
Bitcoin Pine Script - Tom Hall StrategyThe Bitcoin script is a combination of crucial indicators that align across multiple timeframes.
How To Apply The Script:
Apply the script to your chart by clicking the ( Add to Favourite Scripts )\u2028
BSO = Buy Stop Order
The BSO symbol will appear once a valid trade opportunity presents itself.\u2028
Once the BSO candle closes it will provide you the parameters for a Buy Stop Order.
Orange Horizontal Line = Buy Stop Order Entry
Green Horizontal Line = Take Profit
Red Horizontal Line = Stop Loss
Key Information:
(1) The BSO is valid for a period of 24 hours, should price not trigger a live position the BSO must be cancelled.
(2) The horizontal lines that track price action are only relevant once a BSO candle has closed.
Alert System:
The alert system allows you to receive SMS / Email notifications in addition to a screen notification providing you information a BSO is required.
How To Apply The Alert System:
(1) Windows Press ( ALT + A ) / MacBook Press ( Option + A )
(2) Adjust the condition section from BTCUSD to Tom Hall Strategy\u2028
(3) Two crucial boxes will appear, The Lowest EMA and Buy Stop Order.
(4) Click create, this will allow you to receive Email / SMS notifications once a valid trade opportunity is available.\u2028
Profitable Edge:
Data From: 31st March 2013
Positions Executed: 76
Profitable Trades: 52
Losing Traders: 24\u2028
Risk / Reward: 1:1
Strike Rate / Profitable Edge: 68.43%
2013: 80% Profitable ( 10 Positions )
2014: 60% Profitable ( 5 Positions )
2015: 75% Profitable ( 16 Positions )
2016: 45% Profitable ( 20 Positions )
2017: 82.61% Profitable ( 23 Positions )
Style / Inputs:
All visible parameters can be adjusted to individual taste and preference.
Risk Reward Optimiser [ChartPrime]█ CONCEPTS
In modern day strategy optimization there are few options when it comes to optimizing a risk reward ratio. Users frequently need to experiment and go through countless permutations in order to tweak, adjust and find optimal in their data.
Therefore we have created the Risk Reward Optimizer.
The Risk Reward Optimizer is a technical tool designed to provide traders with comprehensive insights into their trading strategies.
It offers a range of features and functionalities aimed at enhancing traders' decision-making process.
With a focus on comprehensive data, it is there to help traders quickly and efficiently locate Risk Reward optimums for inbuilt of custom strategies.
█ Internal and external Signals:
The script can optimize risk to reward ratio for any type of signals
You can utilize the following :
🔸Internal signals ➞ We have included a number of common indicators into the optimizer such as:
▫️ Aroon
▫️ AO (Awesome Oscillator)
▫️ RSI (Relative Strength Index)
▫️ MACD (Moving Average Convergence Divergence)
▫️ SuperTrend
▫️ Stochastic RSI
▫️ Stochastic
▫️ Moving averages
All these indicators have 3 conditions to generate signals :
Crossover
High Than
Less Than
🔸External signal
▫️ by incorporating your own indicators into the analysis. This flexibility enables you to tailor your strategy to your preferences.
◽️ How to link your signal with the optimizer:
In order to be able to analysis your signal we need to read it and to do so we would need to PLOT your signal with a defined value
plot( YOUR LONG Condition ? 100 : 0 , display = display.data_window)
█ Customizable Risk to Reward Ratios:
This tool allows you to test seven different customizable risk to reward ratios , helping you determine the most suitable risk-reward balance for your trading strategy. This data-driven approach takes the guesswork out of setting stop-loss and take-profit levels.
█ Comprehensive Data Analysis:
The tool provides a table displaying key metrics, including:
Total trades
Wins
Losses
Profit factor
Win rate
Profit and loss (PNL)
This data is essential for refining your trading strategy.
🔸 It includes a tooltip for each risk to reward ratio which gives data for the:
Most Profitable Trade USD value
Most Profitable Trade % value
Most Profitable Trade Bar Index
Most Profitable Trade Time (When it occurred)
Position and size is adjustable
█ Visual insights with histograms:
Visualize your trading performance with histograms displaying each risk to reward ratio trade space, showing total trades, wins, losses, and the ratio of profitable trades.
This visual representation helps you understand the strengths and weaknesses of your strategy.
It offers tooltips for each RR ratio with the average win and loss percentages for further analysis.
█ Dynamic Highlighting:
A drop-down menu allows you to highlight the maximum values of critical metrics such as:
Profit factor
Win rate
PNL
for quick identification of successful setups.
█ Stop Loss Flexibility:
You can adjust stop-loss levels using three different calculation methods:
ATR
Pivot
VWAP
This allows you to align risk-reward ratios with your preferred risk tolerance.
█ Chart Integration:
Visualize your trades directly on your price chart, with each trade displayed in a distinct color for easy tracking.
When your take-profit (TP) level is reached , the tool labels the corresponding risk-reward ratio for that specific TP, simplifying trade management.
█ Detailed Tooltips:
Tooltips provide deeper insights into your trading performance. They include information about the most profitable trade, such as the time it occurred, the bar index, and the percentage gain. Histogram tooltips also offer average win and loss percentages for further analysis.
█ Settings:
█ Code:
In summary, the Risk Reward Optimizer is a data-driven tool that offers traders the ability to optimize their risk-reward ratios, refine their strategies, and gain a deeper understanding of their trading performance. Whether you're a day trader, swing trader, or investor, this tool can help you make informed decisions and improve your trading outcomes.
Crypto Scalper Pro Study / Alerts===========
Crypto Scalper Pro Study Script with Alerts
===========
Our Crypto Scalper Pro Study with Alerts Script is a carbon copy of our tried and tested Crypto Scalper Pro Strategy , but now with the option of setting TradingView Alerts for your chosen trading plan. Making missing trades a thing of the past, and helping you to automate your own trading strategy using AutoView, 3Commas or similar 3rd party Auto Trading Software.
-----------
Crypto Scalper Pro is a scalping strategy developed to work alongside our Crypto Tipster Strategy, now you can trade the D markets with our Tipster, and Intra-Day markets with our Scalper!
This strategy works very well on shorter time frames across multiple crypto pairs, everything from 4H all the way down to a 5m chart, our Crypto Scalper will find the best Entry and Exit points for consistent and reliable returns.
We've added a few variables for you to play with to fine tune this scalper to suit your chosen trading plan - however, these will only adjust the strategy to a certain degree, as there are many algorithms and indicators doing their thing hidden in the background that take precedence.
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What's Included?
Crypto Scalper Pro comes with a host of features and is being continually updated, these features include (but are not limited to):
- Date Range Settings
Setting custom Start/End dates can help hone your strategy to suit the current times, or get a general overview of the market over the years.
- Heikin Ashi Confirmation
We added HA confirmation for both Entry & Exit of trades. This started as a form of "Safe Mode", we have since adapted our safe mode far beyond Heikin Ashi; but kept this confirmation as an added extra.
- Variable Indicator Settings
As well as our Fixed Indicators and Price Action analysis going on in the background of the strategy, we've also included some Variable Indicators that you have access to edit.
Lookback Period will help establish how far back you'd want to be confirming price indications on the strategy - the higher the number the further back it will look, making the Scalping Strategy appear smoother with less trades during choppy times, the downside with a higher lookback is you might miss the start of a potentially epic trade, and only be shown an Entry after the event has already happened.
We find Lookback Lengths of between 5 and 100 could work depending on various other settings, the market being traded, and the timeframe being used.
MA Length (Length of Moving Average) - We use a few MA's to best determine various factors involved with successfully scalping a market, overall trend direction, current price movements and fake-out detection to name just a few. You've got the option of determining a good average length for a few of these variables.
Again, a short MA Length will catch every big move right at the start, but you're almost guaranteed a Negative Expected Value with that method, due to the vast quantity of losing trades in times of chop/ranging markets. A Higher MA Length will remove a lot of chop, reduce the quantity of trades, and therefore (should) result in a higher Percent of Trades Profitable; it will however add a certain lag to the strategy, meaning those highly profitable trades we're looking for may turn out to be not so highly profitable!
- Safe Mode
Enabling Safe Mode will add a couple more confirmation indicators to the strategy - the aim of Safe Mode is, in essence, to remove any trading signals that would end of being false/bad moves. Usually resulting in less Overall Trades, a higher Net Profit, higher % Profitable, higher Profit Factor AND a lower Drawdown. Use Safe Mode to help eliminate orders that would otherwise be placed in choppy markets.
- Stop Loss/Take Profit Settings
This is where Crypto Scalper Pro really proves itself, Money Management. We have an editable Fixed SL/TP, as well as Trailing Stops for Long or Short orders, all of which you can use on their own, or combined with each other. Playing with these settings can turn an un-profitable system into a very-profitable trading plan!
-----------
What's Included within Crypto Scalper Study / Alerts Script?
Our Study script will find Entry and Exit points exactly as our Pro Strategy would find them. The same indicators, methods and chart reading techniques are used, there are 2 big differences however...
The first difference is that our Pro Strategy has the ability to manage your money, Fixed Stops, Take Profit and Trailing Stops to name just a few. Our Study does not (yet) have these functions added due to the way TradingView's charting platform operates.
That's the bad news, the good news for our Crypto Scalper Study Script is that you can add Alerts to your trading plan! This is super handy if you decide to implement our methods into different time frames across various markets and are looking for Intra-day Alerts, or if you're looking to Automate your trading strategy using external software.
Help and Advice for setting up Alerts or to Automate your Strategy can be found on our website.
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For more information on the Crypto Scalper Pro Strategy visit the link in our signature.
Good Luck and Happy Trading!
Institutional Dominance/Trapped Trader Profile @MaxMaserati 3.0📊 Institutional Dominance & Trapped Trader Delta Profile
@MaxMaserati 3.0
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🎯 OVERVIEW
The IDT Auction Profile is a professional-grade volume order flow analysis tool that reveals where institutional traders hold Positional Advantage and where retail participants are Trapped. Unlike traditional Volume Profile indicators, the IDT Profile integrates Volume Point Delta (VPD) analysis with advanced pattern recognition to identify the exact price levels where profitable institutional positions create support/resistance, and where losing positions are forced to exit.
This indicator answers the critical questions: Who is in profit? Who is trapped? And where will they defend or exit their positions?
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✨ FEATURES
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⚡ Quick Presets - One-click configuration for:
• Scalper (1m-5m): 75 bars, 50 rows, ★3 confluence
• Day Trader (15m-1h): 150 bars, 60 rows, ★3 confluence
• Swing Trader (4h-D): 300 bars, 80 rows, ★4 confluence
🔔 Price Alerts - Get notified when price touches:
• VAH (Value Area High) - Resistance zone
• VAL (Value Area Low) - Support zone
• Adjustable sensitivity (0.05% - 1.0%)
📏 POC Line Extensions - Historical context lines extending left from key institutional levels
👻 Previous Session POCs - Dotted reference lines showing prior period levels (carry-over zones)
📊 Real-Time Statistics Panel:
• Total Volume
• Net Delta
• Buy/Sell Pressure %
🎨 Visual Enhancements:
• Column dividers for clarity
• Transparency controls
• Profile auto-hide when price moves away
• Cached color schemes for 30% performance boost
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🧠 CORE CONCEPT: DOMINANCE VS TRAPPED POSITIONING
═════════════════════════════════════════════════════════════
The indicator categorizes all market participants into two strategic positions based on their entry price relative to current market price:
📍 ABOVE CURRENT PRICE (Resistance Zones)
🔴 Aggressive Sellers in Profit - Sold higher, currently winning. Will defend positions or add to winners.
🟥 Trapped Buyers at Loss - Bought higher, currently losing. Must exit at breakeven, creating resistance.
📍 BELOW CURRENT PRICE (Support Zones)
🟢 Aggressive Buyers in Profit - Bought lower, currently winning. Will defend positions or add to winners.
🟩 Trapped Sellers at Loss - Sold lower, currently losing. Must cover at breakeven, creating support.
⚡ MAXIMUM CONFLUENCE ZONES
When Dominant (Profitable) and Trapped (Loss) positions align at the same level, you get the strongest support/resistance zones:
🟧 Orange Boxes (Above Price) = Aggressive Sellers + Trapped Buyers = STRONGEST RESISTANCE
🟨 Yellow Boxes (Below Price) = Aggressive Buyers + Trapped Sellers = STRONGEST SUPPORT
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📊 VOLUME ANALYSIS COLUMNS
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1️⃣ VPD Column (Volume Point Delta)
Net aggressive pressure at each price level (Buying Volume - Selling Volume)
- Bullish Delta (Green): Buyers dominated the auction at this level
- Bearish Delta (Red): Sellers dominated the auction at this level
- Smart Coloring: Automatically highlights institutional patterns
2️⃣ VPS Column (Volume Point of Sell - ASK Volume)
Aggressive buying volume that "lifted the offer" by hitting ask prices
- Represents participants who paid the ask price to enter long
- When price is below this level = These buyers are in profit
- When price is above this level = These sellers who got hit are in profit
- Shows institutional bid volume absorption
3️⃣ VPB Column (Volume Point of Buy - BID Volume)
Aggressive selling volume that "hit the bid" by taking bid prices
- Represents participants who sold at bid price to enter short
- When price is above this level = These sellers are in profit
- When price is below this level = These buyers who got hit are in profit
- Shows institutional ask volume absorption
4️⃣ SVP Column (Optional - Session Volume Profile)
Traditional combined volume profile without bid/ask separation
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🔍 ADVANCED INSTITUTIONAL PATTERNS DETECTION
═════════════════════════════════════════════════════════════
The indicator uses statistical analysis (standard deviation, moving averages, hit counting) to identify institutional footprints:
⚡ Failed Auctions - "BUYERS TRAPPED" or "SELLERS TRAPPED" labels
• High volume entered, but price immediately reversed
• Creates extreme concentrations of losing positions
• Trading Implication: High-probability reversal zones where trapped participants must exit
📈 Volume Spikes - Bright green/red bars in VPD column
• Volume exceeds average by 2+ standard deviations
• Represents aggressive institutional entry
• Trading Implication: Potential trend continuation or setup for failed auction
🛡️ Absorption Zones - Yellow/Orange colored bars
• Large passive orders absorbing aggressive volume without price movement
• Indicates accumulation (bullish) or distribution (bearish)
• Trading Implication: Institutional positioning before major moves
🧊 Iceberg Orders - Cyan colored bars with high hit counts
• Same price level shows repeated volume without clearing
• Reveals hidden institutional limit orders split into small pieces
• Trading Implication: Strong liquidity magnets, price often returns here
💜 Volume Exhaustion - Purple colored bars
• Sharp volume drop (50%+) after spike
• Momentum exhausted, participants depleted
• Trading Implication: Potential reversal or consolidation ahead
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🎨 SMART INSTITUTIONAL COLORING
═════════════════════════════════════════════════════════════
Colors bars based on detected patterns vs simple red/green:
🟨 Yellow = Bullish battles won (buyers + trapped sellers)
🟧 Orange = Bearish battles won (sellers + trapped buyers)
🔵 Cyan = Iceberg orders (hidden liquidity)
🟣 Purple = Large passive orders
🟢 Bright Green = Buying spikes (institutional aggression)
🔴 Bright Red = Selling spikes (institutional aggression)
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⭐ CONFLUENCE SCORING SYSTEM
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Each price level receives 1-5 stars based on:
★★ Volume spike presence (+2 stars)
★ Absorption pattern (+1 star)
★ Large passive orders (+1 star)
★ Proximity to Value Area (+1 star)
★★ Iceberg detection (+2 stars)
★★ Failed auction (+2 stars)
Minimum Signal Strength filter lets you show only levels with ★3+ confluence for highest-quality signals.
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🎯 VALUE AREA ANALYSIS
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VAH (Value Area High) - Blue Line
- Top of the 70% volume acceptance zone
- Price at VAH often rejects downward (resistance)
- Alert triggers when price approaches
VAL (Value Area Low) - Red Line
- Bottom of the 70% volume acceptance zone
- Price at VAL often bounces upward (support)
- Alert triggers when price approaches
Trading Applications:
- Price outside Value Area → Mean reversion opportunity
- Price breaks VA with volume → Trend continuation
- Price oscillates within VA → Range-bound, fade extremes
- Previous session VA lines show carryover levels
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📋 EXPECTED PRICE BEHAVIOR AT KEY LEVELS
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⚠️ IMPORTANT: These are observed behavioral patterns for educational purposes and backtesting research. Always validate with 250-500+ backtest trades before risking capital.
1️⃣ POC BOX ZONES (Highest Statistical Relevance)
🟨 Yellow Boxes (Below Current Price - SUPPORT)
Expected Behavior:
- Price approaching from above typically encounters buying pressure
- Both profitable institutional buyers and trapped short sellers create demand
- Common reaction: Price slows, consolidates, or bounces
- Failed bounces often lead to rapid breakdown (trapped buyers capitulate)
What Often Happens:
- Initial dip into zone → Weak bounce attempt
- Second test → Stronger bounce (trapped sellers covering + buyers defending)
- Break below → Quick acceleration as both groups exit
🟧 Orange Boxes (Above Current Price - RESISTANCE)
Expected Behavior:
- Price rallying into zone typically encounters selling pressure
- Both profitable institutional sellers and trapped long buyers create supply
- Common reaction: Price stalls, consolidates, or rejects
What Often Happens:
- Initial push into zone → Weak rejection
- Second test → Stronger rejection (trapped buyers exiting + sellers defending)
- Break above → Quick acceleration as resistance becomes support
2️⃣ FAILED AUCTION ZONES
"SELLERS TRAPPED" Labels (Below Price):
- High-volume selling that immediately reversed = maximum trapped shorts
- When price returns, trapped sellers face pressure to cover
- Typical pattern: Price approaches → Initial hesitation → Sharp bounce
"BUYERS TRAPPED" Labels (Above Price):
- High-volume buying that immediately failed = maximum trapped longs
- Price returning forces trapped buyers to exit at breakeven
- Typical pattern: Price approaches → Distribution → Rejection
3️⃣ VALUE AREA DYNAMICS
Price Outside Value Area (VAH/VAL):
- Price beyond 70% volume zone = statistical outlier
- Two outcomes: Mean reversion OR trend continuation
- Key differentiator: Presence of confluence zones
Mean Reversion Pattern (No Strong Confluence):
- Price extends 1-2% beyond VA → Typically reverts toward POC
- Weak volume on extension → Higher probability of reversal
Breakout Pattern (With ★4+ Confluence):
- Price breaks VA with institutional patterns → Often continues
- Strong volume + confluence = New value area forming
4️⃣ ICEBERG ORDER BEHAVIOR
Cyan Bars with High Hit Counts:
- Repeated volume at same level = Large hidden order absorbing
- Price typically "tests" iceberg multiple times before resolution
- Two outcomes: Absorption complete (break) OR rejection (bounce)
5️⃣ VOLUME SPIKE PATTERNS
Bright Green/Red Bars (Institutional Aggression):
- Extreme delta spikes indicate institutional entry
- Trend Continuation Spikes: Spike aligned with trend = Often continues
- Exhaustion Spikes: Spike against trend = Failed auction forming
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⚙️ CONFIGURATION GUIDE
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🎯 QUICK START
1. Select your trading style preset (Scalper/Day/Swing)
2. Enable VAH/VAL alerts in settings
3. Adjust alert sensitivity (0.1% recommended)
4. Add alert condition to TradingView alert system
📊 CORE SETTINGS
- Lookback Period: How many bars to analyze
- Scalping: 50-100 bars
- Day Trading: 100-200 bars
- Swing Trading: 200-500 bars
- Price Row Granularity: How finely to divide price
- 40-50 rows = Fast markets
- 60-80 rows = Balanced (RECOMMENDED)
- 100+ rows = Maximum precision
- Minimum Signal Strength: Filter weak signals
- ★3 = Balanced quality/quantity (RECOMMENDED)
- ★4-5 = Highest quality, fewer opportunities
🎨 VISUAL SETTINGS
- Color Theme: Classic/Institutional/Monochrome/Bold/Minimal/Custom
- Smart Coloring: ON (recommended) - Shows institutional patterns
- Transparency: Adjust profile opacity
- Column Dividers: Visual separators between columns
- POC Extensions: Show historical level significance
📈 ADVANCED FEATURES
- Auto-Hide Distance: Hide profile when price moves X% away
- Statistics Panel: Real-time metrics display
- Previous POCs: Show prior session levels
- Alert Sensitivity: How close price must be to trigger alerts
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💡 BEST PRACTICES
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✅ Start with defaults (200 lookback, 60 rows, ★3 confluence, Smart Coloring ON)
✅ Focus on POC boxes first - These are your highest-probability zones
✅ Combine with price action - Use the profile to explain WHY support/resistance exists
✅ Watch for alignment - Yellow/Orange boxes = strongest levels
✅ Respect failed auctions - "TRAPPED" labels are extreme reversal setups
✅ Use Value Area for context - Price outside VA = mean reversion opportunity
✅ Trust confluence scores - ★4-5 signals are institutional-grade setups
✅ Set up alerts for VAH/VAL touches - Don't miss key levels
✅ Check previous session POCs - Institutions defend same zones across sessions
✅ Monitor statistics panel - Understand market conviction in real-time
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🔧 TECHNICAL SPECIFICATIONS
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Calculation Method: Enhanced delta using OHLC and volume with wick ratio analysis
Update Frequency: Real-time on every bar close
Performance: Optimized with color caching and pre-calculated values (~30% faster)
Max Capacity: Supports up to 1500 bars lookback and 250 price rows
Compatibility: Works on all symbols and timeframes
Memory Usage: Efficient array management with proper initialization
Alert System: Built-in VAH/VAL touch detection with visual markers
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🎯 UNIQUE VALUE PROPOSITION
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Unlike standard Volume Profile indicators that only show where volume occurred, the IDT Auction Profile:
✅ Separates bid vs ask volume to reveal true order flow
✅ Identifies who is profitable vs who is trapped at each level
✅ Detects institutional patterns (icebergs, absorption, failed auctions)
✅ Calculates confluence scores combining multiple factors
✅ Provides clear POC boxes showing exact institutional positioning
✅ Maps positional advantage rather than just volume density
✅ Alerts you to key level touches in real-time
✅ Shows historical context with POC extensions
✅ Displays live statistics for market conviction
This transforms Volume Profile from a historical volume chart into a strategic positioning map showing institutional dominance and trapped participants.
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📖 HOW TO INTEGRATE WITH YOUR STRATEGY
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✅ PROPER USES:
- Entry refinement within your existing setups
- Intelligent stop placement beyond institutional levels
- Objective profit targets at next confluence zones
- Trade filtering (only take setups at ★4+ zones)
- Understanding market positioning before entry
- Alert-based monitoring of key support/resistance levels
❌ WHAT IT CANNOT DO:
- Predict direction with certainty
- Replace risk management
- Account for news/external events
- Guarantee profitability
- Work in all market conditions
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📚 DEVELOPMENT PATH (12-16 Weeks)
═════════════════════════════════════════════════════════════
Weeks 1-2: Observation Only
- Watch price behavior at key levels
- Document patterns without trading
- Set up alerts and observe responses
Weeks 3-8: Paper Trading
- Simulate trades, track all metrics
- Minimum 100 paper trades
- Test different confluence thresholds
Weeks 9-16: Small Size Testing
- Minimal capital, real market conditions
- Continue tracking, refine rules
- Adjust alert sensitivity based on results
After Proven Edge you could potentially include it in your set-up
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⚠️ CRITICAL DISCLAIMERS
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⚠️ Past volume ≠ Future price action
⚠️ Institutional positions change rapidly - these are static snapshots
⚠️ No indicator works 100% - risk management is mandatory
⚠️ Market conditions change - adapt your approach
⚠️ Backtest with YOUR style, YOUR timeframe, YOUR risk tolerance
⚠️ Alerts are notifications, not trade signals - you decide the action
The indicator reveals WHERE institutions are positioned and HOW they might behave. YOU decide IF, WHEN, and HOW to trade that information.
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📞 SUPPORT & UPDATES
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For questions, suggestions, or bug reports:
- Comment below the indicator
- Follow for updates and new features
- Check documentation for detailed examples
═════════════════════════════════════════════════════════════
Not financial advice. For educational and research purposes only.
Institutional Dominance & Trapped Trader @MaxMaserati 3.0 Institutional Dominance & Trapped Trader Delta Profile @MaxMaserati 3.0
═════════════════════════════════════════════════════════════
Overview
The IDT Auction Profile is a professional-grade volume order flow analysis tool that reveals where institutional traders hold Positional Advantage and where retail participants are Trapped. Unlike traditional Volume Profile indicators, the IDT Profile integrates Volume Point Delta (VPD) analysis with advanced pattern recognition to identify the exact price levels where profitable institutional positions create support/resistance, and where losing positions are forced to exit.
This indicator answers the critical questions: Who is in profit? Who is trapped? And where will they defend or exit their positions?
═════════════════════════════════════════════════════════════
Core Concept: Dominance vs Trapped Positioning
════════════════════════════════════════════════════════════TThe indicator categorizes all market participants into two strategic positions based on their entry price relative to current market price:
Above Current Price (Resistance Zones)
🔴 Aggressive Sellers in Profit - Sold higher, currently winning. Will defend positions or add to winners.
🟥 Trapped Buyers at Loss - Bought higher, currently losing. Must exit at breakeven, creating resistance.
Below Current Price (Support Zones)
🟢 Aggressive Buyers in Profit - Bought lower, currently winning. Will defend positions or add to winners.
🟩 Trapped Sellers at Loss - Sold lower, currently losing. Must cover at breakeven, creating support.
Maximum Confluence Zones
When Dominant (Profitable) and Trapped (Loss) positions align at the same level, you get the strongest support/resistance zones. These appear as:
🟧 Orange Boxes (Above Price) = Aggressive Sellers + Trapped Buyers = STRONGEST RESISTANCE
🟨 Yellow Boxes (Below Price) = Aggressive Buyers + Trapped Sellers = STRONGEST SUPPORT
═════════════════════════════════════════════════════════════
VOLUME ANALYSIS
═════════════════════════════════════════════════════════════
1. VPD Column (Volume Point Delta)
Net aggressive pressure at each price level (Buying Volume - Selling Volume).
Bullish Delta (Green): Buyers dominated the auction at this level
Bearish Delta (Red): Sellers dominated the auction at this level
Smart Coloring: Automatically highlights institutional patterns (icebergs, absorption, spikes, failed auctions)
2. VPS Column (Volume Point of Sell - ASK Volume)
Aggressive buying volume that "lifted the offer" by hitting ask prices.
Represents participants who paid the ask price to enter long
When price is below this level = These buyers are in profit
When price is above this level = These sellers who got hit are in profit
3. VPB Column (Volume Point of Buy - BID Volume)
Aggressive selling volume that "hit the bid" by taking bid prices.
Represents participants who sold at bid price to enter short
When price is above this level = These sellers are in profit
When price is below this level = These buyers who got hit are in profit
═════════════════════════════════════════════════════════════
🧠 ADVANCED INSTITUTIONAL PATTERNS DETECTION
═════════════════════════════════════════════════════════════
The indicator uses statistical analysis (standard deviation, moving averages, hit counting) to identify institutional footprints:
Failed Auctions ⚡
"BUYERS TRAPPED" or "SELLERS TRAPPED" labels
High volume entered, but price immediately reversed
Creates extreme concentrations of losing positions
Trading Implication: High-probability reversal zones where trapped participants must exit
Volume Spikes 📈📉
Bright green/red bars in VPD column
Volume exceeds average by 2+ standard deviations
Represents aggressive institutional entry
Trading Implication: Potential trend continuation or setup for failed auction
Absorption Zones 🛡️
Yellow/Orange colored bars
Large passive orders absorbing aggressive volume without price movement
Indicates accumulation (bullish) or distribution (bearish)
Trading Implication: Institutional positioning before major moves
Iceberg Orders 🧊
Cyan colored bars with high hit counts
Same price level shows repeated volume without clearing
Reveals hidden institutional limit orders split into small pieces
Trading Implication: Strong liquidity magnets, price often returns here
Volume Exhaustion 💜
Purple colored bars
Sharp volume drop (50%+) after spike
Momentum exhausted, participants depleted
Trading Implication: Potential reversal or consolidation ahead
═════════════════════════════════════════════════════════════
Colors bars based on detected patterns vs simple red/green
═════════════════════════════════════════════════════════════
Yellow = Bullish battles won
Orange = Bearish battles won
Cyan = Iceberg orders
Purple = Large passive orders
Bright Green = Buying spikes
Bright Red = Selling spikes
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Confluence Scoring ⭐
═════════════════════════════════════════════════════════════
Each price level receives 1-5 stars based on:
Volume spike presence (+2 stars)
Absorption pattern (+1 star)
Large passive orders (+1 star)
Proximity to Value Area (+1 star)
Iceberg detection (+2 stars)
Failed auction (+2 stars)
Minimum Signal Strength filter lets you show only levels with ★3+ confluence for highest-quality signals.
═════════════════════════════════════════════════════════════
📍 Value Area Analysis
═════════════════════════════════════════════════════════════
VAH (Value Area High) - Blue Line
Top of the 70% volume acceptance zone. Price at VAH often rejects downward.
VAL (Value Area Low) - Red Line
Bottom of the 70% volume acceptance zone. Price at VAL often bounces upward.
Trading Applications:
Price outside Value Area → Mean reversion opportunity
Price breaks VA with volume → Trend continuation
Price oscillates within VA → Range-bound, fade extremes
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EXPECTED PORICE BEHAVIOR AT KEY LEVELS
═════════════════════════════════════════════════════════════
⚠️ IMPORTANT: These are observed behavioral patterns for educational purposes and backtesting research. Always validate with 250-500+ backtest trades before risking capital. Use this indicator to enhance your existing strategy, not as a standalone system.
1. POC Box Zones (Highest Statistical Relevance)
═════════════════════════════════════════════════════════════
🟨 Yellow Boxes (Below Current Price)
Expected Behavior:
Price approaching from above typically encounters buying pressure
Both profitable institutional buyers and trapped short sellers create demand
Common reaction: Price slows, consolidates, or bounces
Failed bounces often lead to rapid breakdown (trapped buyers capitulate)
What Often Happens:
Initial dip into zone → Weak bounce attempt
Second test → Stronger bounce (trapped sellers covering + buyers defending)
Break below → Quick acceleration as both groups exit
Backtesting Focus:
Measure bounce success rate at ★3+ vs ★4-5 zones
Track how often price returns after initial rejection
Compare behavior during trending vs ranging markets
🟧 Orange Boxes (Above Current Price)
Expected Behavior:
Price rallying into zone typically encounters selling pressure
Both profitable institutional sellers and trapped long buyers create supply
Common reaction: Price stalls, consolidates, or rejects
What Often Happens:
Initial push into zone → Weak rejection
Second test → Stronger rejection (trapped buyers exiting + sellers defending)
Break above → Quick acceleration as resistance becomes support
Backtesting Focus:
Measure rejection success rate by confluence score
Track false breakouts vs genuine breakouts
Identify market conditions that favor breakouts vs reversals
2. Failed Auction Zones
═════════════════════════════════════════════════════════════
"SELLERS TRAPPED" Labels (Below Price)
Expected Behavior:
High-volume selling that immediately reversed = maximum trapped short positions
When price returns to this level, trapped sellers face pressure to cover
Typical pattern: Price approaches → Initial hesitation → Sharp bounce
Common Price Action:
First retest: Quick spike through level then immediate recovery
Subsequent retests: Stronger bounces as fewer trapped sellers remain
Level becomes support after trapped positions cleared
Backtesting Focus:
Success rate of bounces on first vs second retest
Time decay: Does signal strength diminish after X bars?
Volume characteristics during successful bounces
"BUYERS TRAPPED" Labels (Above Price)
Expected Behavior:
High-volume buying that immediately failed = maximum trapped long positions
Price returning forces trapped buyers to exit at breakeven
Typical pattern: Price approaches → Distribution → Rejection
Common Price Action:
First retest: Shallow penetration then swift rejection
Multiple retests: Weaker rallies as trapped positions cleared
Level becomes resistance until breakout occurs
Backtesting Focus:
How many retests before level breaks?
Volume profile changes on each successive test
Correlation with broader market direction
3. Value Area Dynamics
═════════════════════════════════════════════════════════════
Price Outside Value Area (VAH/VAL)
Expected Behavior:
Price beyond 70% volume zone = statistical outlier
Two outcomes: Mean reversion OR trend continuation
Key differentiator: Presence of confluence zones
Mean Reversion Pattern (No Strong Confluence):
Price extends 1-2% beyond VA → Typically reverts toward POC
Weak volume on extension → Higher probability of reversal
Price oscillates back into value area over several bars
Breakout Pattern (With ★4+ Confluence):
Price breaks VA with institutional patterns → Often continues
Strong volume + confluence = New value area forming
Old VA becomes reference point for pullbacks
Backtesting Focus:
Success rate of fades based on distance from VA
Confluence requirements for successful breakouts
Time of day / session impact on VA behavior
4. Iceberg Order Behavior
═════════════════════════════════════════════════════════════
Cyan Bars with High Hit Counts
Expected Behavior:
Repeated volume at same level = Large hidden order absorbing
Price typically "tests" iceberg multiple times before resolution
Two outcomes: Absorption complete (break) OR rejection (bounce)
Absorption Phase:
Price approaches → Slows near iceberg → Minimal movement
Volume increases but price range contracts
Acts as temporary support/resistance
Resolution Phase:
Iceberg filled → Sudden acceleration through level
Iceberg defended → Sharp rejection away from level
Post-resolution: Level often becomes support/resistance flip
Backtesting Focus:
Average number of tests before resolution
Volume characteristics when iceberg breaks vs holds
Timeframe impact on iceberg effectiveness
5. Volume Spike Patterns
═════════════════════════════════════════════════════════════
Bright Green/Red Bars (Institutional Aggression)
Expected Behavior:
Extreme delta spikes indicate institutional entry
Two scenarios: Continuation (spike in trend direction) OR Exhaustion (spike against trend)
Trend Continuation Spikes:
Spike + ★4+ confluence + aligned with trend = Often continues
Price may consolidate briefly then resume direction
These levels become support/resistance on pullbacks
Exhaustion Spikes:
Spike against trend + followed by reversal = Failed auction forming
High probability of "TRAPPED" label appearing
Often marks short-term extremes
Backtesting Focus:
Distinguish continuation vs exhaustion spikes
Success rate based on trend alignment
Time holding before reversal occurs
═════════════════════════════════════════════════════════════
💡 Best Practices
═════════════════════════════════════════════════════════════
Start with defaults (200 lookback, 60 rows, ★3 confluence, Classic colors, Smart Coloring ON)
Focus on POC boxes first - These are your highest-probability zones
Combine with price action - Use the profile to explain WHY support/resistance exists
Watch for alignment - Yellow/Orange boxes (both participant types) = strongest levels
Respect failed auctions - "TRAPPED" labels are extreme reversal setups
Use Value Area for context - Price outside VA = opportunity for mean reversion
Trust confluence scores - ★4-5 signals are institutional-grade setups
Adjust timeframe settings - Lower lookback for scalping, higher for position trading
🔧 Technical Notes
Calculation: Enhanced delta using OHLC and volume with wick ratio analysis
Updates: Real-time on every bar close
Performance: Optimized for up to 500 bars lookback and 250 price rows
Compatibility: Works on all symbols and timeframes
Indicator Unique Value
═════════════════════════════════════════════════════════════
Unlike standard Volume Profile indicators that only show where volume occurred,
the IDT Auction Profile:
✅ Separates bid vs ask volume to reveal true order flow
✅ Identifies who is profitable vs who is trapped at each level
✅ Detects institutional patterns (icebergs, absorption, failed auctions)
✅ Calculates confluence scores combining multiple factors
✅ Provides clear POC boxes showing exact institutional positioning
✅ Maps positional advantage rather than just volume density
This transforms Volume Profile from a historical volume chart into a strategic positioning map showing institutional dominance and trapped participants.
How to Integrate with Your Strategy
═════════════════════════════════════════════════════════════
✅ Proper Uses:
Entry refinement within your existing setups
Intelligent stop placement beyond institutional levels
Objective profit targets at next confluence zones
Trade filtering (only take setups at ★4+ zones)
Understanding market positioning before entry
❌ What It Cannot Do:
Predict direction with certainty
Replace risk management
Account for news/external events
Guarantee profitability
Work in all market conditions
Development Path (12-16 Weeks)
Weeks 1-2: Observation Only
Watch price behavior at key levels
Document patterns without trading
Weeks 3-8: Paper Trading
Simulate trades, track all metrics
Minimum 100 paper trades
Weeks 9-16: Small Size Testing
Minimal capital, real market conditions
Continue tracking, refine rules
After Proven Edge: Scale Position Sizing
Critical Disclaimers
⚠️ Past volume ≠ Future price action
⚠️ Institutional positions change rapidly - these are static snapshots
⚠️ No indicator works 100% - risk management is mandatory
⚠️ Market conditions change - adapt your approach
⚠️ Backtest with YOUR style, YOUR timeframe, YOUR risk tolerance
The indicator reveals WHERE institutions are positioned and HOW they might behave. YOU decide IF, WHEN, and HOW to trade that information.
Not financial advice. For educational and research purposes only.
Hellenic EMA Matrix - PremiumHellenic EMA Matrix - Alpha Omega Premium
Complete User Guide
Table of Contents
Introduction
Indicator Philosophy
Mathematical Constants
EMA Types
Settings
Trading Signals
Visualization
Usage Strategies
FAQ
Introduction
Hellenic EMA Matrix is a premium indicator based on mathematical constants of nature: Phi (Phi - Golden Ratio), Pi (Pi), e (Euler's number). The indicator uses these universal constants to create dynamic EMAs that adapt to the natural rhythms of the market.
Key Features:
6 EMA types based on mathematical constants
Premium visualization with Neon Glow and Gradient Clouds
Automatic Fast/Mid/Slow EMA sorting
STRONG signals for powerful trends
Pulsing Ribbon Bar for instant trend assessment
Works on all timeframes (M1 - MN)
Indicator Philosophy
Why Mathematical Constants?
Traditional EMAs use arbitrary periods (9, 21, 50, 200). Hellenic Matrix goes further, using universal mathematical constants found in nature:
Phi (1.618) - Golden Ratio: galaxy spirals, seashells, human body proportions
Pi (3.14159) - Pi: circles, waves, cycles
e (2.71828) - Natural logarithm base: exponential growth, radioactive decay
Markets are also a natural system composed of millions of participants. Using mathematical constants allows tuning into the natural rhythms of market cycles.
Mathematical Constants
Phi (Phi) - Golden Ratio
Phi = 1.618033988749895
Properties:
Phi² = Phi + 1 = 2.618
Phi³ = 4.236
Phi⁴ = 6.854
Application: Ideal for trending movements and Fibonacci corrections
Pi (Pi) - Pi Number
Pi = 3.141592653589793
Properties:
2Pi = 6.283 (full circle)
3Pi = 9.425
4Pi = 12.566
Application: Excellent for cyclical markets and wave structures
e (Euler) - Euler's Number
e = 2.718281828459045
Properties:
e² = 7.389
e³ = 20.085
e⁴ = 54.598
Application: Suitable for exponential movements and volatile markets
EMA Types
1. Phi (Phi) - Golden Ratio EMA
Description: EMA based on the golden ratio
Period Formula:
Period = Phi^n × Base Multiplier
Parameters:
Phi Power Level (1-8): Power of Phi
Phi¹ = 1.618 → ~16 period (with Base=10)
Phi² = 2.618 → ~26 period
Phi³ = 4.236 → ~42 period (recommended)
Phi⁴ = 6.854 → ~69 period
Recommendations:
Phi² or Phi³ for day trading
Phi⁴ or Phi⁵ for swing trading
Works excellently as Fast EMA
2. Pi (Pi) - Circular EMA
Description: EMA based on Pi for cyclical movements
Period Formula:
Period = Pi × Multiple × Base Multiplier
Parameters:
Pi Multiple (1-10): Pi multiplier
1Pi = 3.14 → ~31 period (with Base=10)
2Pi = 6.28 → ~63 period (recommended)
3Pi = 9.42 → ~94 period
Recommendations:
2Pi ideal as Mid or Slow EMA
Excellently identifies cycles and waves
Use on volatile markets (crypto, forex)
3. e (Euler) - Natural EMA
Description: EMA based on natural logarithm
Period Formula:
Period = e^n × Base Multiplier
Parameters:
e Power Level (1-6): Power of e
e¹ = 2.718 → ~27 period (with Base=10)
e² = 7.389 → ~74 period (recommended)
e³ = 20.085 → ~201 period
Recommendations:
e² works excellently as Slow EMA
Ideal for stocks and indices
Filters noise well on lower timeframes
4. Delta (Delta) - Adaptive EMA
Description: Adaptive EMA that changes period based on volatility
Period Formula:
Period = Base Period × (1 + (Volatility - 1) × Factor)
Parameters:
Delta Base Period (5-200): Base period (default 20)
Delta Volatility Sensitivity (0.5-5.0): Volatility sensitivity (default 2.0)
How it works:
During low volatility → period decreases → EMA reacts faster
During high volatility → period increases → EMA smooths noise
Recommendations:
Works excellently on news and sharp movements
Use as Fast EMA for quick adaptation
Sensitivity 2.0-3.0 for crypto, 1.0-2.0 for stocks
5. Sigma (Sigma) - Composite EMA
Description: Composite EMA combining multiple active EMAs
Composition Methods:
Weighted Average (default):
Sigma = (Phi + Pi + e + Delta) / 4
Simple average of all active EMAs
Geometric Mean:
Sigma = fourth_root(Phi × Pi × e × Delta)
Geometric mean (more conservative)
Harmonic Mean:
Sigma = 4 / (1/Phi + 1/Pi + 1/e + 1/Delta)
Harmonic mean (more weight to smaller values)
Recommendations:
Enable for additional confirmation
Use as Mid EMA
Weighted Average - most universal method
6. Lambda (Lambda) - Wave EMA
Description: Wave EMA with sinusoidal period modulation
Period Formula:
Period = Base Period × (1 + Amplitude × sin(2Pi × bar / Frequency))
Parameters:
Lambda Base Period (10-200): Base period
Lambda Wave Amplitude (0.1-2.0): Wave amplitude
Lambda Wave Frequency (10-200): Wave frequency in bars
How it works:
Period pulsates sinusoidally
Creates wave effect following market cycles
Recommendations:
Experimental EMA for advanced users
Works well on cyclical markets
Frequency = 50 for day trading, 100+ for swing
Settings
Matrix Core Settings
Base Multiplier (1-100)
Multiplies all EMA periods
Base = 1: Very fast EMAs (Phi³ = 4, 2Pi = 6, e² = 7)
Base = 10: Standard (Phi³ = 42, 2Pi = 63, e² = 74)
Base = 20: Slow EMAs (Phi³ = 85, 2Pi = 126, e² = 148)
Recommendations by timeframe:
M1-M5: Base = 5-10
M15-H1: Base = 10-15 (recommended)
H4-D1: Base = 15-25
W1-MN: Base = 25-50
Matrix Source
Data source selection for EMA calculation:
close - closing price (standard)
open - opening price
high - high
low - low
hl2 - (high + low) / 2
hlc3 - (high + low + close) / 3
ohlc4 - (open + high + low + close) / 4
When to change:
hlc3 or ohlc4 for smoother signals
high for aggressive longs
low for aggressive shorts
Manual EMA Selection
Critically important setting! Determines which EMAs are used for signal generation.
Use Manual Fast/Slow/Mid Selection
Enabled (default): You select EMAs manually
Disabled: Automatic selection by periods
Fast EMA
Fast EMA - reacts first to price changes
Recommendations:
Phi Golden (recommended) - universal choice
Delta Adaptive - for volatile markets
Must be fastest (smallest period)
Slow EMA
Slow EMA - determines main trend
Recommendations:
Pi Circular (recommended) - excellent trend filter
e Natural - for smoother trend
Must be slowest (largest period)
Mid EMA
Mid EMA - additional signal filter
Recommendations:
e Natural (recommended) - excellent middle level
Pi Circular - alternative
None - for more frequent signals (only 2 EMAs)
IMPORTANT: The indicator automatically sorts selected EMAs by their actual periods:
Fast = EMA with smallest period
Mid = EMA with middle period
Slow = EMA with largest period
Therefore, you can select any combination - the indicator will arrange them correctly!
Premium Visualization
Neon Glow
Enable Neon Glow for EMAs - adds glowing effect around EMA lines
Glow Strength:
Light - subtle glow
Medium (recommended) - optimal balance
Strong - bright glow (may be too bright)
Effect: 2 glow layers around each EMA for 3D effect
Gradient Clouds
Enable Gradient Clouds - fills space between EMAs with gradient
Parameters:
Cloud Transparency (85-98): Cloud transparency
95-97 (recommended)
Higher = more transparent
Dynamic Cloud Intensity - automatically changes transparency based on EMA distance
Cloud Colors:
Phi-Pi Cloud:
Blue - when Pi above Phi (bullish)
Gold - when Phi above Pi (bearish)
Pi-e Cloud:
Green - when e above Pi (bullish)
Blue - when Pi above e (bearish)
2 layers for volumetric effect
Pulsing Ribbon Bar
Enable Pulsing Indicator Bar - pulsing strip at bottom/top of chart
Parameters:
Ribbon Position: Top / Bottom (recommended)
Pulse Speed: Slow / Medium (recommended) / Fast
Symbols and colors:
Green filled square - STRONG BULLISH
Pink filled square - STRONG BEARISH
Blue hollow square - Bullish (regular)
Red hollow square - Bearish (regular)
Purple rectangle - Neutral
Effect: Pulsation with sinusoid for living market feel
Signal Bar Highlights
Enable Signal Bar Highlights - highlights bars with signals
Parameters:
Highlight Transparency (88-96): Highlight transparency
Highlight Style:
Light Fill (recommended) - bar background fill
Thin Line - bar outline only
Highlights:
Golden Cross - green
Death Cross - pink
STRONG BUY - green
STRONG SELL - pink
Show Greek Labels
Shows Greek alphabet letters on last bar:
Phi - Phi EMA (gold)
Pi - Pi EMA (blue)
e - Euler EMA (green)
Delta - Delta EMA (purple)
Sigma - Sigma EMA (pink)
When to use: For education or presentations
Show Old Background
Old background style (not recommended):
Green background - STRONG BULLISH
Pink background - STRONG BEARISH
Blue background - Bullish
Red background - Bearish
Not recommended - use new Gradient Clouds and Pulsing Bar
Info Table
Show Info Table - table with indicator information
Parameters:
Position: Top Left / Top Right (recommended) / Bottom Left / Bottom Right
Size: Tiny / Small (recommended) / Normal / Large
Table contents:
EMA list - periods and current values of all active EMAs
Effects - active visual effects
TREND - current trend state:
STRONG UP - strong bullish
STRONG DOWN - strong bearish
Bullish - regular bullish
Bearish - regular bearish
Neutral - neutral
Momentum % - percentage deviation of price from Fast EMA
Setup - current Fast/Slow/Mid configuration
Trading Signals
Show Golden/Death Cross
Golden Cross - Fast EMA crosses Slow EMA from below (bullish signal) Death Cross - Fast EMA crosses Slow EMA from above (bearish signal)
Symbols:
Yellow dot "GC" below - Golden Cross
Dark red dot "DC" above - Death Cross
Show STRONG Signals
STRONG BUY and STRONG SELL - the most powerful indicator signals
Conditions for STRONG BULLISH:
EMA Alignment: Fast > Mid > Slow (all EMAs aligned)
Trend: Fast > Slow (clear uptrend)
Distance: EMAs separated by minimum 0.15%
Price Position: Price above Fast EMA
Fast Slope: Fast EMA rising
Slow Slope: Slow EMA rising
Mid Trending: Mid EMA also rising (if enabled)
Conditions for STRONG BEARISH:
Same but in reverse
Visual display:
Green label "STRONG BUY" below bar
Pink label "STRONG SELL" above bar
Difference from Golden/Death Cross:
Golden/Death Cross = crossing moment (1 bar)
STRONG signal = sustained trend (lasts several bars)
IMPORTANT: After fixes, STRONG signals now:
Work on all timeframes (M1 to MN)
Don't break on small retracements
Work with any Fast/Mid/Slow combination
Automatically adapt thanks to EMA sorting
Show Stop Loss/Take Profit
Automatic SL/TP level calculation on STRONG signal
Parameters:
Stop Loss (ATR) (0.5-5.0): ATR multiplier for stop loss
1.5 (recommended) - standard
1.0 - tight stop
2.0-3.0 - wide stop
Take Profit R:R (1.0-5.0): Risk/reward ratio
2.0 (recommended) - standard (risk 1.5 ATR, profit 3.0 ATR)
1.5 - conservative
3.0-5.0 - aggressive
Formulas:
LONG:
Stop Loss = Entry - (ATR × Stop Loss ATR)
Take Profit = Entry + (ATR × Stop Loss ATR × Take Profit R:R)
SHORT:
Stop Loss = Entry + (ATR × Stop Loss ATR)
Take Profit = Entry - (ATR × Stop Loss ATR × Take Profit R:R)
Visualization:
Red X - Stop Loss
Green X - Take Profit
Levels remain active while STRONG signal persists
Trading Signals
Signal Types
1. Golden Cross
Description: Fast EMA crosses Slow EMA from below
Signal: Beginning of bullish trend
How to trade:
ENTRY: On bar close with Golden Cross
STOP: Below local low or below Slow EMA
TARGET: Next resistance level or 2:1 R:R
Strengths:
Simple and clear
Works well on trending markets
Clear entry point
Weaknesses:
Lags (signal after movement starts)
Many false signals in ranging markets
May be late on fast moves
Optimal timeframes: H1, H4, D1
2. Death Cross
Description: Fast EMA crosses Slow EMA from above
Signal: Beginning of bearish trend
How to trade:
ENTRY: On bar close with Death Cross
STOP: Above local high or above Slow EMA
TARGET: Next support level or 2:1 R:R
Application: Mirror of Golden Cross
3. STRONG BUY
Description: All EMAs aligned + trend + all EMAs rising
Signal: Powerful bullish trend
How to trade:
ENTRY: On bar close with STRONG BUY or on pullback to Fast EMA
STOP: Below Fast EMA or automatic SL (if enabled)
TARGET: Automatic TP (if enabled) or by levels
TRAILING: Follow Fast EMA
Entry strategies:
Aggressive: Enter immediately on signal
Conservative: Wait for pullback to Fast EMA, then enter on bounce
Pyramiding: Add positions on pullbacks to Mid EMA
Position management:
Hold while STRONG signal active
Exit on STRONG SELL or Death Cross appearance
Move stop behind Fast EMA
Strengths:
Most reliable indicator signal
Doesn't break on pullbacks
Catches large moves
Works on all timeframes
Weaknesses:
Appears less frequently than other signals
Requires confirmation (multiple conditions)
Optimal timeframes: All (M5 - D1)
4. STRONG SELL
Description: All EMAs aligned down + downtrend + all EMAs falling
Signal: Powerful bearish trend
How to trade: Mirror of STRONG BUY
Visual Signals
Pulsing Ribbon Bar
Quick market assessment at a glance:
Symbol Color State
Filled square Green STRONG BULLISH
Filled square Pink STRONG BEARISH
Hollow square Blue Bullish
Hollow square Red Bearish
Rectangle Purple Neutral
Pulsation: Sinusoidal, creates living effect
Signal Bar Highlights
Bars with signals are highlighted:
Green highlight: STRONG BUY or Golden Cross
Pink highlight: STRONG SELL or Death Cross
Gradient Clouds
Colored space between EMAs shows trend strength:
Wide clouds - strong trend
Narrow clouds - weak trend or consolidation
Color change - trend change
Info Table
Quick reference in corner:
TREND: Current state (STRONG UP, Bullish, Neutral, Bearish, STRONG DOWN)
Momentum %: Movement strength
Effects: Active visual effects
Setup: Fast/Slow/Mid configuration
Usage Strategies
Strategy 1: "Golden Trailing"
Idea: Follow STRONG signals using Fast EMA as trailing stop
Settings:
Fast: Phi Golden (Phi³)
Mid: Pi Circular (2Pi)
Slow: e Natural (e²)
Base Multiplier: 10
Timeframe: H1, H4
Entry rules:
Wait for STRONG BUY
Enter on bar close or on pullback to Fast EMA
Stop below Fast EMA
Management:
Hold position while STRONG signal active
Move stop behind Fast EMA daily
Exit on STRONG SELL or Death Cross
Take Profit:
Partially close at +2R
Trail remainder until exit signal
For whom: Swing traders, trend followers
Pros:
Catches large moves
Simple rules
Emotionally comfortable
Cons:
Requires patience
Possible extended drawdowns on pullbacks
Strategy 2: "Scalping Bounces"
Idea: Scalp bounces from Fast EMA during STRONG trend
Settings:
Fast: Delta Adaptive (Base 15, Sensitivity 2.0)
Mid: Phi Golden (Phi²)
Slow: Pi Circular (2Pi)
Base Multiplier: 5
Timeframe: M5, M15
Entry rules:
STRONG signal must be active
Wait for price pullback to Fast EMA
Enter on bounce (candle closes above/below Fast EMA)
Stop behind local extreme (15-20 pips)
Take Profit:
+1.5R or to Mid EMA
Or to next level
For whom: Active day traders
Pros:
Many signals
Clear entry point
Quick profits
Cons:
Requires constant monitoring
Not all bounces work
Requires discipline for frequent trading
Strategy 3: "Triple Filter"
Idea: Enter only when all 3 EMAs and price perfectly aligned
Settings:
Fast: Phi Golden (Phi³)
Mid: e Natural (e²)
Slow: Pi Circular (3Pi)
Base Multiplier: 15
Timeframe: H4, D1
Entry rules (LONG):
STRONG BUY active
Price above all three EMAs
Fast > Mid > Slow (all aligned)
All EMAs rising (slope up)
Gradient Clouds wide and bright
Entry:
On bar close meeting all conditions
Or on next pullback to Fast EMA
Stop:
Below Mid EMA or -1.5 ATR
Take Profit:
First target: +3R
Second target: next major level
Trailing: Mid EMA
For whom: Conservative swing traders, investors
Pros:
Very reliable signals
Minimum false entries
Large profit potential
Cons:
Rare signals (2-5 per month)
Requires patience
Strategy 4: "Adaptive Scalper"
Idea: Use only Delta Adaptive EMA for quick volatility reaction
Settings:
Fast: Delta Adaptive (Base 10, Sensitivity 3.0)
Mid: None
Slow: Delta Adaptive (Base 30, Sensitivity 2.0)
Base Multiplier: 3
Timeframe: M1, M5
Feature: Two different Delta EMAs with different settings
Entry rules:
Golden Cross between two Delta EMAs
Both Delta EMAs must be rising/falling
Enter on next bar
Stop:
10-15 pips or below Slow Delta EMA
Take Profit:
+1R to +2R
Or Death Cross
For whom: Scalpers on cryptocurrencies and forex
Pros:
Instant volatility adaptation
Many signals on volatile markets
Quick results
Cons:
Much noise on calm markets
Requires fast execution
High commissions may eat profits
Strategy 5: "Cyclical Trader"
Idea: Use Pi and Lambda for trading cyclical markets
Settings:
Fast: Pi Circular (1Pi)
Mid: Lambda Wave (Base 30, Amplitude 0.5, Frequency 50)
Slow: Pi Circular (3Pi)
Base Multiplier: 10
Timeframe: H1, H4
Entry rules:
STRONG signal active
Lambda Wave EMA synchronized with trend
Enter on bounce from Lambda Wave
For whom: Traders of cyclical assets (some altcoins, commodities)
Pros:
Catches cyclical movements
Lambda Wave provides additional entry points
Cons:
More complex to configure
Not for all markets
Lambda Wave may give false signals
Strategy 6: "Multi-Timeframe Confirmation"
Idea: Use multiple timeframes for confirmation
Scheme:
Higher TF (D1): Determine trend direction (STRONG signal)
Middle TF (H4): Wait for STRONG signal in same direction
Lower TF (M15): Look for entry point (Golden Cross or bounce from Fast EMA)
Settings for all TFs:
Fast: Phi Golden (Phi³)
Mid: e Natural (e²)
Slow: Pi Circular (2Pi)
Base Multiplier: 10
Rules:
All 3 TFs must show one trend
Entry on lower TF
Stop by lower TF
Target by higher TF
For whom: Serious traders and investors
Pros:
Maximum reliability
Large profit targets
Minimum false signals
Cons:
Rare setups
Requires analysis of multiple charts
Experience needed
Practical Tips
DOs
Use STRONG signals as primary - they're most reliable
Let signals develop - don't exit on first pullback
Use trailing stop - follow Fast EMA
Combine with levels - S/R, Fibonacci, volumes
Test on demo before real
Adjust Base Multiplier for your timeframe
Enable visual effects - they help see the picture
Use Info Table - quick situation assessment
Watch Pulsing Bar - instant state indicator
Trust auto-sorting of Fast/Mid/Slow
DON'Ts
Don't trade against STRONG signal - trend is your friend
Don't ignore Mid EMA - it adds reliability
Don't use too small Base Multiplier on higher TFs
Don't enter on Golden Cross in range - check for trend
Don't change settings during open position
Don't forget risk management - 1-2% per trade
Don't trade all signals in row - choose best ones
Don't use indicator in isolation - combine with Price Action
Don't set too tight stops - let trade breathe
Don't over-optimize - simplicity = reliability
Optimal Settings by Asset
US Stocks (SPY, AAPL, TSLA)
Recommendation:
Fast: Phi Golden (Phi³)
Mid: e Natural (e²)
Slow: Pi Circular (2Pi)
Base: 10-15
Timeframe: H4, D1
Features:
Use on daily for swing
STRONG signals very reliable
Works well on trending stocks
Forex (EUR/USD, GBP/USD)
Recommendation:
Fast: Delta Adaptive (Base 15, Sens 2.0)
Mid: Phi Golden (Phi²)
Slow: Pi Circular (2Pi)
Base: 8-12
Timeframe: M15, H1, H4
Features:
Delta Adaptive works excellently on news
Many signals on M15-H1
Consider spreads
Cryptocurrencies (BTC, ETH, altcoins)
Recommendation:
Fast: Delta Adaptive (Base 10, Sens 3.0)
Mid: Pi Circular (2Pi)
Slow: e Natural (e²)
Base: 5-10
Timeframe: M5, M15, H1
Features:
High volatility - adaptation needed
STRONG signals can last days
Be careful with scalping on M1-M5
Commodities (Gold, Oil)
Recommendation:
Fast: Pi Circular (1Pi)
Mid: Phi Golden (Phi³)
Slow: Pi Circular (3Pi)
Base: 12-18
Timeframe: H4, D1
Features:
Pi works excellently on cyclical commodities
Gold responds especially well to Phi
Oil volatile - use wide stops
Indices (S&P500, Nasdaq, DAX)
Recommendation:
Fast: Phi Golden (Phi³)
Mid: e Natural (e²)
Slow: Pi Circular (2Pi)
Base: 15-20
Timeframe: H4, D1, W1
Features:
Very trending instruments
STRONG signals last weeks
Good for position trading
Alerts
The indicator supports 6 alert types:
1. Golden Cross
Message: "Hellenic Matrix: GOLDEN CROSS - Fast EMA crossed above Slow EMA - Bullish trend starting!"
When: Fast EMA crosses Slow EMA from below
2. Death Cross
Message: "Hellenic Matrix: DEATH CROSS - Fast EMA crossed below Slow EMA - Bearish trend starting!"
When: Fast EMA crosses Slow EMA from above
3. STRONG BULLISH
Message: "Hellenic Matrix: STRONG BULLISH SIGNAL - All EMAs aligned for powerful uptrend!"
When: All conditions for STRONG BUY met (first bar)
4. STRONG BEARISH
Message: "Hellenic Matrix: STRONG BEARISH SIGNAL - All EMAs aligned for powerful downtrend!"
When: All conditions for STRONG SELL met (first bar)
5. Bullish Ribbon
Message: "Hellenic Matrix: BULLISH RIBBON - EMAs aligned for uptrend"
When: EMAs aligned bullish + price above Fast EMA (less strict condition)
6. Bearish Ribbon
Message: "Hellenic Matrix: BEARISH RIBBON - EMAs aligned for downtrend"
When: EMAs aligned bearish + price below Fast EMA (less strict condition)
How to Set Up Alerts:
Open indicator on chart
Click on three dots next to indicator name
Select "Create Alert"
In "Condition" field select needed alert:
Golden Cross
Death Cross
STRONG BULLISH
STRONG BEARISH
Bullish Ribbon
Bearish Ribbon
Configure notification method:
Pop-up in browser
Email
SMS (in Premium accounts)
Push notifications in mobile app
Webhook (for automation)
Select frequency:
Once Per Bar Close (recommended) - once on bar close
Once Per Bar - during bar formation
Only Once - only first time
Click "Create"
Tip: Create separate alerts for different timeframes and instruments
FAQ
1. Why don't STRONG signals appear?
Possible reasons:
Incorrect Fast/Mid/Slow order
Solution: Indicator automatically sorts EMAs by periods, but ensure selected EMAs have different periods
Base Multiplier too large
Solution: Reduce Base to 5-10 on lower timeframes
Market in range
Solution: STRONG signals appear only in trends - this is normal
Too strict EMA settings
Solution: Try classic combination: Phi³ / Pi×2 / e² with Base=10
Mid EMA too close to Fast or Slow
Solution: Select Mid EMA with period between Fast and Slow
2. How often should STRONG signals appear?
Normal frequency:
M1-M5: 5-15 signals per day (very active markets)
M15-H1: 2-8 signals per day
H4: 3-10 signals per week
D1: 2-5 signals per month
W1: 2-6 signals per year
If too many signals - market very volatile or Base too small
If too few signals - market in range or Base too large
4. What are the best settings for beginners?
Universal "out of the box" settings:
Matrix Core:
Base Multiplier: 10
Source: close
Phi Golden: Enabled, Power = 3
Pi Circular: Enabled, Multiple = 2
e Natural: Enabled, Power = 2
Delta Adaptive: Enabled, Base = 20, Sensitivity = 2.0
Manual Selection:
Fast: Phi Golden
Mid: e Natural
Slow: Pi Circular
Visualization:
Gradient Clouds: ON
Neon Glow: ON (Medium)
Pulsing Bar: ON (Medium)
Signal Highlights: ON (Light Fill)
Table: ON (Top Right, Small)
Signals:
Golden/Death Cross: ON
STRONG Signals: ON
Stop Loss: OFF (while learning)
Timeframe for learning: H1 or H4
5. Can I use only one EMA?
No, minimum 2 EMAs (Fast and Slow) for signal generation.
Mid EMA is optional:
With Mid EMA = more reliable but rarer signals
Without Mid EMA = more signals but less strict filtering
Recommendation: Start with 3 EMAs (Fast/Mid/Slow), then experiment
6. Does the indicator work on cryptocurrencies?
Yes, works excellently! Especially good on:
Bitcoin (BTC)
Ethereum (ETH)
Major altcoins (SOL, BNB, XRP)
Recommended settings for crypto:
Fast: Delta Adaptive (Base 10-15, Sensitivity 2.5-3.0)
Mid: Pi Circular (2Pi)
Slow: e Natural (e²)
Base: 5-10
Timeframe: M15, H1, H4
Crypto market features:
High volatility → use Delta Adaptive
24/7 trading → set alerts
Sharp movements → wide stops
7. Can I trade only with this indicator?
Technically yes, but NOT recommended.
Best approach - combine with:
Price Action - support/resistance levels, candle patterns
Volume - movement strength confirmation
Fibonacci - retracement and extension levels
RSI/MACD - divergences and overbought/oversold
Fundamental analysis - news, company reports
Hellenic Matrix:
Excellently determines trend and its strength
Provides clear entry/exit points
Doesn't consider fundamentals
Doesn't see major levels
8. Why do Gradient Clouds change color?
Color depends on EMA order:
Phi-Pi Cloud:
Blue - Pi EMA above Phi EMA (bullish alignment)
Gold - Phi EMA above Pi EMA (bearish alignment)
Pi-e Cloud:
Green - e EMA above Pi EMA (bullish alignment)
Blue - Pi EMA above e EMA (bearish alignment)
Color change = EMA order change = possible trend change
9. What is Momentum % in the table?
Momentum % = percentage deviation of price from Fast EMA
Formula:
Momentum = ((Close - Fast EMA) / Fast EMA) × 100
Interpretation:
+0.5% to +2% - normal bullish momentum
+2% to +5% - strong bullish momentum
+5% and above - overheating (correction possible)
-0.5% to -2% - normal bearish momentum
-2% to -5% - strong bearish momentum
-5% and below - oversold (bounce possible)
Usage:
Monitor momentum during STRONG signals
Large momentum = don't enter (wait for pullback)
Small momentum = good entry point
10. How to configure for scalping?
Settings for scalping (M1-M5):
Base Multiplier: 3-5
Source: close or hlc3 (smoother)
Fast: Delta Adaptive (Base 8-12, Sensitivity 3.0)
Mid: None (for more signals)
Slow: Phi Golden (Phi²) or Pi Circular (1Pi)
Visualization:
- Gradient Clouds: ON (helps see strength)
- Neon Glow: OFF (doesn't clutter chart)
- Pulsing Bar: ON (quick assessment)
- Signal Highlights: ON
Signals:
- Golden/Death Cross: ON
- STRONG Signals: ON
- Stop Loss: ON (1.0-1.5 ATR, R:R 1.5-2.0)
Scalping rules:
Trade only STRONG signals
Enter on bounce from Fast EMA
Tight stops (10-20 pips)
Quick take profit (+1R to +2R)
Don't hold through news
11. How to configure for long-term investing?
Settings for investing (D1-W1):
Base Multiplier: 20-30
Source: close
Fast: Phi Golden (Phi³ or Phi⁴)
Mid: e Natural (e²)
Slow: Pi Circular (3Pi or 4Pi)
Visualization:
- Gradient Clouds: ON
- Neon Glow: ON (Medium)
- Everything else - to taste
Signals:
- Golden/Death Cross: ON
- STRONG Signals: ON
- Stop Loss: OFF (use percentage stop)
Investing rules:
Enter only on STRONG signals
Hold while STRONG active (weeks/months)
Stop below Slow EMA or -10%
Take profit: by company targets or +50-100%
Ignore short-term pullbacks
12. What if indicator slows down chart?
Indicator is optimized, but if it slows:
Disable unnecessary visual effects:
Neon Glow: OFF (saves 8 plots)
Gradient Clouds: ON but low quality
Lambda Wave EMA: OFF (if not using)
Reduce number of active EMAs:
Sigma Composite: OFF
Lambda Wave: OFF
Leave only Phi, Pi, e, Delta
Simplify settings:
Pulsing Bar: OFF
Greek Labels: OFF
Info Table: smaller size
13. Can I use on different timeframes simultaneously?
Yes! Multi-timeframe analysis is very powerful:
Classic scheme:
Higher TF (D1, W1) - determine global trend
Wait for STRONG signal
This is our trading direction
Middle TF (H4, H1) - look for confirmation
STRONG signal in same direction
Precise entry zone
Lower TF (M15, M5) - entry point
Golden Cross or bounce from Fast EMA
Precise stop loss
Example:
W1: STRONG BUY active (global uptrend)
H4: STRONG BUY appeared (confirmation)
M15: Wait for Golden Cross or bounce from Fast EMA → ENTRY
Advantages:
Maximum reliability
Clear timeframe hierarchy
Large targets
14. How does indicator work on news?
Delta Adaptive EMA adapts excellently to news:
Before news:
Low volatility → Delta EMA becomes fast → pulls to price
During news:
Sharp volatility spike → Delta EMA slows → filters noise
After news:
Volatility normalizes → Delta EMA returns to normal
Recommendations:
Don't trade at news release moment (spreads widen)
Wait for STRONG signal after news (2-5 bars)
Use Delta Adaptive as Fast EMA for quick reaction
Widen stops by 50-100% during important news
Advanced Techniques
Technique 1: "Divergences with EMA"
Idea: Look for discrepancies between price and Fast EMA
Bullish divergence:
Price makes lower low
Fast EMA makes higher low
= Possible reversal up
Bearish divergence:
Price makes higher high
Fast EMA makes lower high
= Possible reversal down
How to trade:
Find divergence
Wait for STRONG signal in divergence direction
Enter on confirmation
Technique 2: "EMA Tunnel"
Idea: Use space between Fast and Slow EMA as "tunnel"
Rules:
Wide tunnel - strong trend, hold position
Narrow tunnel - weak trend or consolidation, caution
Tunnel narrowing - trend weakening, prepare to exit
Tunnel widening - trend strengthening, can add
Visually: Gradient Clouds show this automatically!
Trading:
Enter on STRONG signal (tunnel starts widening)
Hold while tunnel wide
Exit when tunnel starts narrowing
Technique 3: "Wave Analysis with Lambda"
Idea: Lambda Wave EMA creates sinusoid matching market cycles
Setup:
Lambda Base Period: 30
Lambda Wave Amplitude: 0.5
Lambda Wave Frequency: 50 (adjusted to asset cycle)
How to find correct Frequency:
Look at historical cycles (distance between local highs)
Average distance = your Frequency
Example: if highs every 40-60 bars, set Frequency = 50
Trading:
Enter when Lambda Wave at bottom of sinusoid (growth potential)
Exit when Lambda Wave at top (fall potential)
Combine with STRONG signals
Technique 4: "Cluster Analysis"
Idea: When all EMAs gather in narrow cluster = powerful breakout soon
Cluster signs:
All EMAs (Phi, Pi, e, Delta) within 0.5-1% of each other
Gradient Clouds almost invisible
Price jumping around all EMAs
Trading:
Identify cluster (all EMAs close)
Determine breakout direction (where more volume, higher TFs direction)
Wait for breakout and STRONG signal
Enter on confirmation
Target = cluster size × 3-5
This is very powerful technique for big moves!
Technique 5: "Sigma as Dynamic Level"
Idea: Sigma Composite EMA = average of all EMAs = magnetic level
Usage:
Enable Sigma Composite (Weighted Average)
Sigma works as dynamic support/resistance
Price often returns to Sigma before trend continuation
Trading:
In trend: Enter on bounces from Sigma
In range: Fade moves from Sigma (trade return to Sigma)
On breakout: Sigma becomes support/resistance
Risk Management
Basic Rules
1. Position Size
Conservative: 1% of capital per trade
Moderate: 2% of capital per trade (recommended)
Aggressive: 3-5% (only for experienced)
Calculation formula:
Lot Size = (Capital × Risk%) / (Stop in pips × Pip value)
2. Risk/Reward Ratio
Minimum: 1:1.5
Standard: 1:2 (recommended)
Optimal: 1:3
Aggressive: 1:5+
3. Maximum Drawdown
Daily: -3% to -5%
Weekly: -7% to -10%
Monthly: -15% to -20%
Upon reaching limit → STOP trading until end of period
Position Management Strategies
1. Fixed Stop
Method:
Stop below/above Fast EMA or local extreme
DON'T move stop against position
Can move to breakeven
For whom: Beginners, conservative traders
2. Trailing by Fast EMA
Method:
Each day (or bar) move stop to Fast EMA level
Position closes when price breaks Fast EMA
Advantages:
Stay in trend as long as possible
Automatically exit on reversal
For whom: Trend followers, swing traders
3. Partial Exit
Method:
50% of position close at +2R
50% hold with trailing by Mid EMA or Slow EMA
Advantages:
Lock profit
Leave position for big move
Psychologically comfortable
For whom: Universal method (recommended)
4. Pyramiding
Method:
First entry on STRONG signal (50% of planned position)
Add 25% on pullback to Fast EMA
Add another 25% on pullback to Mid EMA
Overall stop below Slow EMA
Advantages:
Average entry price
Reduce risk
Increase profit in strong trends
Caution:
Works only in trends
In range leads to losses
For whom: Experienced traders
Trading Psychology
Correct Mindset
1. Indicator is a tool, not holy grail
Indicator shows probability, not guarantee
There will be losing trades - this is normal
Important is series statistics, not one trade
2. Trust the system
If STRONG signal appeared - enter
Don't search for "perfect" moment
Follow trading plan
3. Patience
STRONG signals don't appear every day
Better miss signal than enter against trend
Quality over quantity
4. Discipline
Always set stop loss
Don't move stop against position
Don't increase risk after losses
Beginner Mistakes
1. "I know better than indicator"
Indicator says STRONG BUY, but you think "too high, will wait for pullback"
Result: miss profitable move
Solution: Trust signals or don't use indicator
2. "Will reverse now for sure"
Trading against STRONG trend
Result: stops, stops, stops
Solution: Trend is your friend, trade with trend
3. "Will hold a bit more"
Don't exit when STRONG signal disappears
Greed eats profit
Solution: If signal gone - exit!
4. "I'll recover"
After losses double risk
Result: huge losses
Solution: Fixed % risk ALWAYS
5. "I don't like this signal"
Skip signals because of "feeling"
Result: inconsistency, no statistics
Solution: Trade ALL signals or clearly define filters
Trading Journal
What to Record
For each trade:
1. Entry/exit date and time
2. Instrument and timeframe
3. Signal type
Golden Cross
STRONG BUY
STRONG SELL
Death Cross
4. Indicator settings
Fast/Mid/Slow EMA
Base Multiplier
Other parameters
5. Chart screenshot
Entry moment
Exit moment
6. Trade parameters
Position size
Stop loss
Take Profit
R:R
7. Result
Profit/Loss in $
Profit/Loss in %
Profit/Loss in R
8. Notes
What was right
What was wrong
Emotions during trade
Lessons
Journal Analysis
Analyze weekly:
1. Win Rate
Win Rate = (Profitable trades / All trades) × 100%
Good: 50-60%
Excellent: 60-70%
Exceptional: 70%+
2. Average R
Average R = Sum of all R / Number of trades
Good: +0.5R
Excellent: +1.0R
Exceptional: +1.5R+
3. Profit Factor
Profit Factor = Total profit / Total losses
Good: 1.5+
Excellent: 2.0+
Exceptional: 3.0+
4. Maximum Drawdown
Track consecutive losses
If more than 5 in row - stop, check system
5. Best/Worst Trades
What was common in best trades? (do more)
What was common in worst trades? (avoid)
Pre-Trade Checklist
Technical Analysis
STRONG signal active (BUY or SELL)
All EMAs properly aligned (Fast > Mid > Slow or reverse)
Price on correct side of Fast EMA
Gradient Clouds confirm trend
Pulsing Bar shows STRONG state
Momentum % in normal range (not overheated)
No close strong levels against direction
Higher timeframe doesn't contradict
Risk Management
Position size calculated (1-2% risk)
Stop loss set
Take profit calculated (minimum 1:2)
R:R satisfactory
Daily/weekly risk limit not exceeded
No other open correlated positions
Fundamental Analysis
No important news in coming hours
Market session appropriate (liquidity)
No contradicting fundamentals
Understand why asset is moving
Psychology
Calm and thinking clearly
No emotions from previous trades
Ready to accept loss at stop
Following trading plan
Not revenging market for past losses
If at least one point is NO - think twice before entering!
Learning Roadmap
Week 1: Familiarization
Goals:
Install and configure indicator
Study all EMA types
Understand visualization
Tasks:
Add indicator to chart
Test all Fast/Mid/Slow settings
Play with Base Multiplier on different timeframes
Observe Gradient Clouds and Pulsing Bar
Study Info Table
Result: Comfort with indicator interface
Week 2: Signals
Goals:
Learn to recognize all signal types
Understand difference between Golden Cross and STRONG
Tasks:
Find 10 Golden Cross examples in history
Find 10 STRONG BUY examples in history
Compare their results (which worked better)
Set up alerts
Get 5 real alerts
Result: Understanding signals
Week 3: Demo Trading
Goals:
Start trading signals on demo account
Gather statistics
Tasks:
Open demo account
Trade ONLY STRONG signals
Keep journal (minimum 20 trades)
Don't change indicator settings
Strictly follow stop losses
Result: 20+ documented trades
Week 4: Analysis
Goals:
Analyze demo trading results
Optimize approach
Tasks:
Calculate win rate and average R
Find patterns in profitable trades
Find patterns in losing trades
Adjust approach (not indicator!)
Write trading plan
Result: Trading plan on 1 page
Month 2: Improvement
Goals:
Deepen understanding
Add additional techniques
Tasks:
Study multi-timeframe analysis
Test combinations with Price Action
Try advanced techniques (divergences, tunnels)
Continue demo trading (minimum 50 trades)
Achieve stable profitability on demo
Result: Win rate 55%+ and Profit Factor 1.5+
Month 3: Real Trading
Goals:
Transition to real account
Maintain discipline
Tasks:
Open small real account
Trade minimum lots
Strictly follow trading plan
DON'T increase risk
Focus on process, not profit
Result: Psychological comfort on real
Month 4+: Scaling
Goals:
Increase account
Become consistently profitable
Tasks:
With 60%+ win rate can increase risk to 2%
Upon doubling account can add capital
Continue keeping journal
Periodically review and improve strategy
Share experience with community
Result: Stable profitability month after month
Additional Resources
Recommended Reading
Technical Analysis:
"Technical Analysis of Financial Markets" - John Murphy
"Trading in the Zone" - Mark Douglas (psychology)
"Market Wizards" - Jack Schwager (trader interviews)
EMA and Moving Averages:
"Moving Averages 101" - Steve Burns
Articles on Investopedia about EMA
Risk Management:
"The Mathematics of Money Management" - Ralph Vince
"Trade Your Way to Financial Freedom" - Van K. Tharp
Trading Journals:
Edgewonk (paid, very powerful)
Tradervue (free version + premium)
Excel/Google Sheets (free)
Screeners:
TradingView Stock Screener
Finviz (stocks)
CoinMarketCap (crypto)
Conclusion
Hellenic EMA Matrix is a powerful tool based on universal mathematical constants of nature. The indicator combines:
Mathematical elegance - Phi, Pi, e instead of arbitrary numbers
Premium visualization - Neon Glow, Gradient Clouds, Pulsing Bar
Reliable signals - STRONG BUY/SELL work on all timeframes
Flexibility - 6 EMA types, adaptation to any trading style
Automation - auto-sorting EMAs, SL/TP calculation, alerts
Key Success Principles:
Simplicity - start with basic settings (Phi/Pi/e, Base=10)
Discipline - follow STRONG signals strictly
Patience - wait for quality setups
Risk Management - 1-2% per trade, ALWAYS
Journal - document every trade
Learning - constantly improve skills
Remember:
Indicator shows probability, not guarantee
Important is series statistics, not one trade
Psychology more important than technique
Quality more important than quantity
Process more important than result
Acknowledgments
Thank you for using Hellenic EMA Matrix - Alpha Omega Premium!
The indicator was created with love for mathematics, markets, and beautiful visualization.
Wishing you profitable trading!
Guide Version: 1.0
Date: 2025
Compatibility: Pine Script v6, TradingView
"In the simplicity of mathematical constants lies the complexity of market movements"
Smart DCA StrategyINSPIRATION
While Dollar Cost Averaging (DCA) is a popular and stress-free investment approach, I noticed an opportunity for enhancement. Standard DCA involves buying consistently, regardless of market conditions, which can sometimes mean missing out on optimal investment opportunities. This led me to develop the Smart DCA Strategy – a 'set and forget' method like traditional DCA, but with an intelligent twist to boost its effectiveness.
The goal was to build something more profitable than a standard DCA strategy so it was equally important that this indicator could backtest its own results in an A/B test manner against the regular DCA strategy.
WHY IS IT SMART?
The key to this strategy is its dynamic approach: buying aggressively when the market shows signs of being oversold, and sitting on the sidelines when it's not. This approach aims to optimize entry points, enhancing the potential for better returns while maintaining the simplicity and low stress of DCA.
WHAT THIS STRATEGY IS, AND IS NOT
This is an investment style strategy. It is designed to improve upon the common standard DCA investment strategy. It is therefore NOT a day trading strategy. Feel free to experiment with various timeframes, but it was designed to be used on a daily timeframe and that's how I recommend it to be used.
You may also go months without any buy signals during bull markets, but remember that is exactly the point of the strategy - to keep your buying power on the sidelines until the markets have significantly pulled back. You need to be patient and trust in the historical backtesting you have performed.
HOW IT WORKS
The Smart DCA Strategy leverages a creative approach to using Moving Averages to identify the most opportune moments to buy. A trigger occurs when a daily candle, in its entirety including the high wick, closes below the threshold line or box plotted on the chart. The indicator is designed to facilitate both backtesting and live trading.
HOW TO USE
Settings:
The input parameters for tuning have been intentionally simplified in an effort to prevent users falling into the overfitting trap.
The main control is the Buying strictness scale setting. Setting this to a lower value will provide more buying days (less strict) while higher values mean less buying days (more strict). In my testing I've found level 9 to provide good all round results.
Validation days is a setting to prevent triggering entries until the asset has spent a given number of days (candles) in the overbought state. Increasing this makes entries stricter. I've found 0 to give the best results across most assets.
In the backtest settings you can also configure how much to buy for each day an entry triggers. Blind buy size is the amount you would buy every day in a standard DCA strategy. Smart buy size is the amount you would buy each day a Smart DCA entry is triggered.
You can also experiment with backtesting your strategy over different historical datasets by using the Start date and End date settings. The results table will not calculate for any trades outside what you've set in the date range settings.
Backtesting:
When backtesting you should use the results table on the top right to tune and optimise the results of your strategy. As with all backtests, be careful to avoid overfitting the parameters. It's better to have a setup which works well across many currencies and historical periods than a setup which is excellent on one dataset but bad on most others. This gives a much higher probability that it will be effective when you move to live trading.
The results table provides a clear visual representation as to which strategy, standard or smart, is more profitable for the given dataset. You will notice the columns are dynamically coloured red and green. Their colour changes based on which strategy is more profitable in the A/B style backtest - green wins, red loses. The key metrics to focus on are GOA (Gain on Account) and Avg Cost .
Live Trading:
After you've finished backtesting you can proceed with configuring your alerts for live trading.
But first, you need to estimate the amount you should buy on each Smart DCA entry. We can use the Total invested row in the results table to calculate this. Assuming we're looking to trade on BITSTAMP:BTCUSD
Decide how much USD you would spend each day to buy BTC if you were using a standard DCA strategy. Lets say that is $5 per day
Enter that USD amount in the Blind buy size settings box
Check the Blind Buy column in the results table. If we set the backtest date range to the last 10 years, we would expect the amount spent on blind buys over 10 years to be $18,250 given $5 each day
Next we need to tweak the value of the Smart buy size parameter in setting to get it as close as we can to the Total Invested amount for Blind Buy
By following this approach it means we will invest roughly the same amount into our Smart DCA strategy as we would have into a standard DCA strategy over any given time period.
After you have calculated the Smart buy size , you can go ahead and set up alerts on Smart DCA buy triggers.
BOT AUTOMATION
In an effort to maintain the 'set and forget' stress-free benefits of a standard DCA strategy, I have set my personal Smart DCA Strategy up to be automated. The bot runs on AWS and I have a fully functional project for the bot on my GitHub account. Just reach out if you would like me to point you towards it. You can also hook this into any other 3rd party trade automation system of your choice using the pre-configured alerts within the indicator.
PLANNED FUTURE DEVELOPMENTS
Currently this is purely an accumulation strategy. It does not have any sell signals right now but I have ideas on how I will build upon it to incorporate an algorithm for selling. The strategy should gradually offload profits in bull markets which generates more USD which gives more buying power to rinse and repeat the same process in the next cycle only with a bigger starting capital. Watch this space!
MARKETS
Crypto:
This strategy has been specifically built to work on the crypto markets. It has been developed, backtested and tuned against crypto markets and I personally only run it on crypto markets to accumulate more of the coins I believe in for the long term. In the section below I will provide some backtest results from some of the top crypto assets.
Stocks:
I've found it is generally more profitable than a standard DCA strategy on the majority of stocks, however the results proved to be a lot more impressive on crypto. This is mainly due to the volatility and cycles found in crypto markets. The strategy makes its profits from capitalising on pullbacks in price. Good stocks on the other hand tend to move up and to the right with less significant pullbacks, therefore giving this strategy less opportunity to flourish.
Forex:
As this is an accumulation style investment strategy, I do not recommend that you use it to trade Forex.
STRATEGY IN ACTION
Here you see the indicator running on the BITSTAMP:BTCUSD pair. You can read the indicator as follows:
Vertical green bands on historical candles represents where buy signals triggered in the past
Table on the top right represents the results of the A/B backtest against a standard DCA strategy
Green Smart Buy column shows that Smart DCA was more profitable than standard DCA on this backtest. That is shown by the percentage GOA (Gain on Account) and the Avg Cost
Smart Buy Zone label marks the threshold which the entire candle must be below to trigger a buy signal (line can be changed to a box under plotting settings)
Green color of Smart Buy Zone label represents that the open candle is still valid for a buy signal. A signal will only be generated if the candle closes while this label is still green
Below is the same BITSTAMP:BTCUSD chart a couple of days later. Notice how the threshold has been broken and the Smart Buy Zone label has turned from green to red. No buy signal can be triggered for this day - even if the candle retraced and closed below the threshold before daily candle close.
Notice how the green vertical bands tend to be present after significant pullbacks in price. This is the reason the strategy works! Below is the same BITSTAMP:BTCUSD chart, but this time zoomed out to present a clearer picture of the times it would invest vs times it would sit out of the market. You will notice it invests heavily in bear markets and significant pullbacks, and does not buy anything during bull markets.
Finally, to visually demonstrate the indicator on an asset other than BTC, here is an example on CRYPTO:ETHUSD . In this case the current daily high has not touched the threshold so it is still possible for this to be a valid buy trigger on daily candle close. The vertical green band will not print until the buy trigger is confirmed.
BACKTEST RESULTS
Now for some backtest results to demonstrate the improved performance over a standard DCA strategy using all non-stablecoin assets in the top 30 cryptos by marketcap.
I've used the TradingView ticker (exchange name denoted as CRYPTO in the symbol search) for every symbol tested with the exception of BTCUSD because there was some dodgy data at the beginning of the TradingView BTCUSD chart which overinflated the effectiveness of the Smart DCA strategy on that ticker. For BTCUSD I've used the BITSTAMP exchange data. The symbol links below will take you to the correct chart and exchange used for the test.
I'm using the GOA (Gain on Account) values to present how each strategy performed.
The value on the left side is the standard DCA result and the right is the Smart DCA result.
✅ means Smart DCA strategy outperformed the standard DCA strategy
❌ means standard DCA strategy outperformed the Smart DCA strategy
To avoid overfitting, and to prove that this strategy does not suffer from overfitting, I've used the exact same input parameters for every symbol tested below. The settings used in these backtests are:
Buying strictness scale: 9
Validation days: 0
You can absolutely tweak the values per symbol to further improve the results of each, however I think using identical settings on every pair tested demonstrates a higher likelihood that the results will be similar in the live markets.
I'm presenting results for two time periods:
First price data available for trading pair -> closing candle on Friday 26th Jan 2024 (ALL TIME)
Opening candle on Sunday 1st Jan 2023 -> closing candle on Friday 26th Jan 2024 (JAN 2023 -> JAN 2024)
ALL TIME:
BITSTAMP:BTCUSD 80,884% / 133,582% ✅
CRYPTO:ETHUSD 17,231% / 36,146% ✅
CRYPTO:BNBUSD 5,314% / 2,702% ❌
CRYPTO:SOLUSD 1,745% / 1,171% ❌
CRYPTO:XRPUSD 2,585% / 4,544% ✅
CRYPTO:ADAUSD 338% / 353% ✅
CRYPTO:AVAXUSD 130% / 160% ✅
CRYPTO:DOGEUSD 13,690% / 16,432% ✅
CRYPTO:TRXUSD 414% / 466% ✅
CRYPTO:DOTUSD -16% / -7% ✅
CRYPTO:LINKUSD 1,161% / 2,164% ✅
CRYPTO:TONUSD 25% / 47% ✅
CRYPTO:MATICUSD 1,769% / 1,587% ❌
CRYPTO:ICPUSD 70% / 50% ❌
CRYPTO:SHIBUSD -20% / -19% ✅
CRYPTO:LTCUSD 486% / 718% ✅
CRYPTO:BCHUSD -4% / 3% ✅
CRYPTO:LEOUSD 102% / 151% ✅
CRYPTO:ATOMUSD 46% / 91% ✅
CRYPTO:UNIUSD -16% / 1% ✅
CRYPTO:ETCUSD 283% / 414% ✅
CRYPTO:OKBUSD 1,286% / 1,935% ✅
CRYPTO:XLMUSD 1,471% / 1,592% ✅
CRYPTO:INJUSD 830% / 1,035% ✅
CRYPTO:OPUSD 138% / 195% ✅
CRYPTO:NEARUSD 23% / 44% ✅
Backtest result analysis:
Assuming we have an initial investment amount of $10,000 spread evenly across each asset since the creation of each asset, it would have provided the following results.
Standard DCA Strategy results:
Average percent return: 4,998.65%
Profit: $499,865
Closing balance: $509,865
Smart DCA Strategy results:
Average percent return: 7,906.03%
Profit: $790,603
Closing balance: $800,603
JAN 2023 -> JAN 2024:
BITSTAMP:BTCUSD 47% / 66% ✅
CRYPTO:ETHUSD 26% / 33% ✅
CRYPTO:BNBUSD 15% / 17% ✅
CRYPTO:SOLUSD 272% / 394% ✅
CRYPTO:XRPUSD 7% / 12% ✅
CRYPTO:ADAUSD 43% / 59% ✅
CRYPTO:AVAXUSD 116% / 151% ✅
CRYPTO:DOGEUSD 8% / 14% ✅
CRYPTO:TRXUSD 48% / 65% ✅
CRYPTO:DOTUSD 24% / 35% ✅
CRYPTO:LINKUSD 83% / 124% ✅
CRYPTO:TONUSD 7% / 21% ✅
CRYPTO:MATICUSD -3% / 7% ✅
CRYPTO:ICPUSD 161% / 196% ✅
CRYPTO:SHIBUSD 1% / 8% ✅
CRYPTO:LTCUSD -15% / -7% ✅
CRYPTO:BCHUSD 47% / 68% ✅
CRYPTO:LEOUSD 9% / 11% ✅
CRYPTO:ATOMUSD 1% / 15% ✅
CRYPTO:UNIUSD 9% / 23% ✅
CRYPTO:ETCUSD 27% / 40% ✅
CRYPTO:OKBUSD 21% / 30% ✅
CRYPTO:XLMUSD 11% / 19% ✅
CRYPTO:INJUSD 477% / 446% ❌
CRYPTO:OPUSD 77% / 91% ✅
CRYPTO:NEARUSD 78% / 95% ✅
Backtest result analysis:
Assuming we have an initial investment amount of $10,000 spread evenly across each asset for the duration of 2023, it would have provided the following results.
Standard DCA Strategy results:
Average percent return: 61.42%
Profit: $6,142
Closing balance: $16,142
Smart DCA Strategy results:
Average percent return: 78.19%
Profit: $7,819
Closing balance: $17,819
GKD-C Adaptive-Lookback Phase Change Index [Loxx]Giga Kaleidoscope GKD-C Adaptive-Lookback Phase Change Index is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
█ GKD-C Adaptive-Lookback Phase Change Index
What is the Phase Change Index?
The Phase Change Index (PCI) is a technical indicator that has gained popularity among traders in recent years. It is used to identify market phases and make profitable trades based on momentum and price data. The PCI was developed by M.H. Pee and first introduced in the Stocks & Commodities magazine in 2004.
The PCI is calculated using the 35-day momentum and the 35-day price channel index (PCI). The momentum is the difference between the current day's close and the close 35 days ago, while the PCI measures the distance between the highest high and lowest low over a period of 35 days. By combining these two indicators, traders can identify six possible market phases, each with its own trading strategy.
The formula for calculating the Phase Change Index (PCI) is as follows:
PCI = 100 * (C - L) / (H - L)
Where:
- C is the closing price of the current day
- L is the lowest low over a period of 35 days
- H is the highest high over a period of 35 days
The formula for calculating momentum is as follows:
Momentum = C - Cn
Where:
- C is the closing price of the current day
- Cn is the closing price n days ago, where n = 35 in this case.
The first two phases are characterized by negative momentum, with phase one having a low PCI value (less than 20) and phase two having a high PCI value (greater than 80). In these phases, traders should enter short positions. The next two phases have positive momentum, with phase three having a low PCI value and phase four having a high PCI value. In these phases, traders should enter long positions.
The final two phases are characterized by neutral momentum, with phase five having a low PCI value and phase six having a high PCI value. In these phases, traders should maintain their previous positions until there is a clear signal to enter or exit.
Traders can also use other technical indicators in conjunction with the PCI to confirm signals or filter out false signals. For example, some traders use moving averages or trendlines to confirm trend direction before entering a trade based on the PCI.
In conclusion, the Phase Change Index is a powerful technical indicator that can help traders identify market phases and make profitable trades. By combining momentum and price data, traders can enter long or short positions based on the six possible market phases. Backtesting results have shown that the PCI is robust across parameters, markets, and years. However, it is important to use proper risk management and not rely solely on past profitability when making trading decisions.
What is the Jurik Filter?
The Jurik Filter is a technical analysis tool that is used to filter out market noise and identify trends in financial markets. It was developed by Mark Jurik in the 1990s and is based on a non-linear smoothing algorithm that provides a more accurate representation of price movements.
Traditional moving averages, such as the Simple Moving Average ( SMA ) or Exponential Moving Average ( EMA ), are linear filters that produce a lag between price and the moving average line. This can cause false signals during periods of market volatility , which can result in losses for traders and investors.
The Jurik Filter is designed to address this issue by incorporating a damping factor into the smoothing algorithm. This damping factor adjusts the filter's responsiveness to the changes in price, allowing it to filter out market noise without overshooting price peaks and valleys.
The Jurik Filter is calculated using a mathematical formula that takes into account the current and past prices of an asset, as well as the volatility of the market. This formula incorporates the damping factor and produces a smoother price curve than traditional moving average filters.
One of the advantages of the Jurik Filter is its ability to adjust to changing market conditions. The damping factor can be adjusted to suit different securities and time frames, making it a versatile tool for traders and investors.
Traders and investors often use the Jurik Filter in conjunction with other technical analysis tools, such as the MACD or RSI , to confirm or complement their trading strategies. By filtering out market noise and identifying trends in the financial markets, the Jurik Filter can help improve the accuracy of trading signals and reduce the risks of false signals during periods of market volatility .
Overall, the Jurik Filter is a powerful technical analysis tool that can help traders and investors make more informed decisions about buying and selling securities. By providing a smoother price curve and reducing false signals, it can help improve trading performance and reduce risk in volatile markets.
What is the Adaptive Lookback Period?
The adaptive lookback period is a technique used in technical analysis to adjust the period of an indicator based on changes in market conditions. This technique is particularly useful in volatile or rapidly changing markets where a fixed period may not be optimal for detecting trends or signals.
The concept of the adaptive lookback period is relatively simple. By adjusting the lookback period based on changes in market conditions, traders can more accurately identify trends and signals. This can help traders to enter and exit trades at the right time and improve the profitability of their trading strategies.
The adaptive lookback period works by identifying potential swing points in the market. Once these points are identified, the lookback period is calculated based on the number of swings and a speed parameter. The swing count parameter determines the number of swings that must occur before the lookback period is adjusted. The speed parameter controls the rate at which the lookback period is adjusted, with higher values indicating a more rapid adjustment.
The adaptive lookback period can be applied to a wide range of technical indicators, including moving averages, oscillators, and trendlines. By adjusting the period of these indicators based on changes in market conditions, traders can reduce the impact of noise and false signals, leading to more profitable trades.
In summary, the adaptive lookback period is a powerful technique for traders and analysts looking to optimize their technical indicators. By adjusting the period based on changes in market conditions, traders can more accurately identify trends and signals, leading to more profitable trades. While there are various ways to implement the adaptive lookback period, the basic concept remains the same, and traders can adapt and customize the technique to suit their individual needs and trading styles.
What is the Adaptive-Lookback Phase Change Index?
The combination of adaptive lookback and Jurik filtering is an effective technique used in technical analysis to filter out market noise and improve the accuracy of trading signals. When applied to the Phase Change Index (PCI) indicator, the adaptive lookback period can be used to adjust the period of the indicator based on changes in market conditions. Jurik filtering can then be used to filter out market noise and improve the accuracy of the signals produced by the PCI indicator.
The adaptive lookback period is particularly useful in volatile or rapidly changing markets where a fixed period may not be optimal for detecting trends or signals. By adjusting the lookback period based on changes in market conditions, traders can more accurately identify trends and signals, leading to more profitable trades.
Jurik filtering is a more advanced filtering technique that uses a combination of smoothing and phase shift to produce a more accurate signal. This technique is particularly useful in filtering out market noise and improving the accuracy of trading signals. Jurik filtering can be applied to various indicators, including moving averages, oscillators, and trendlines.
Overall, the combination of adaptive lookback and Jurik filtering is a powerful technique used in technical analysis to filter out market noise and improve the accuracy of trading signals. When applied to the Phase Change Index (PCI) indicator, this technique is particularly effective in identifying trend changes and producing more accurate signals for entry and exit points in trading strategies.
Keep in mind, this is an inverse indicator meaning that above the middle-line/signal is short, below is long.
Additional Features
This indicator allows you to select from 33 source types. They are as follows:
Close
Open
High
Low
Median
Typical
Weighted
Average
Average Median Body
Trend Biased
Trend Biased (Extreme)
HA Close
HA Open
HA High
HA Low
HA Median
HA Typical
HA Weighted
HA Average
HA Average Median Body
HA Trend Biased
HA Trend Biased (Extreme)
HAB Close
HAB Open
HAB High
HAB Low
HAB Median
HAB Typical
HAB Weighted
HAB Average
HAB Average Median Body
HAB Trend Biased
HAB Trend Biased (Extreme)
What are Heiken Ashi "better" candles?
Heiken Ashi "better" candles are a modified version of the standard Heiken Ashi candles, which are a popular charting technique used in technical analysis. Heiken Ashi candles help traders identify trends and potential reversal points by smoothing out price data and reducing market noise. The "better formula" was proposed by Sebastian Schmidt in an article published by BNP Paribas in Warrants & Zertifikate, a German magazine, in August 2004. The aim of this formula is to further improve the smoothing of the Heiken Ashi chart and enhance its effectiveness in identifying trends and reversals.
Standard Heiken Ashi candles are calculated using the following formulas:
Heiken Ashi Close = (Open + High + Low + Close) / 4
Heiken Ashi Open = (Previous Heiken Ashi Open + Previous Heiken Ashi Close) / 2
Heiken Ashi High = Max (High, Heiken Ashi Open, Heiken Ashi Close)
Heiken Ashi Low = Min (Low, Heiken Ashi Open, Heiken Ashi Close)
The "better formula" modifies the standard Heiken Ashi calculation by incorporating additional smoothing, which can help reduce noise and make it easier to identify trends and reversals. The modified formulas for Heiken Ashi "better" candles are as follows:
Better Heiken Ashi Close = (Open + High + Low + Close) / 4
Better Heiken Ashi Open = (Previous Better Heiken Ashi Open + Previous Better Heiken Ashi Close) / 2
Better Heiken Ashi High = Max (High, Better Heiken Ashi Open, Better Heiken Ashi Close)
Better Heiken Ashi Low = Min (Low, Better Heiken Ashi Open, Better Heiken Ashi Close)
Smoothing Factor = 2 / (N + 1), where N is the chosen period for smoothing
Smoothed Better Heiken Ashi Open = (Better Heiken Ashi Open * Smoothing Factor) + (Previous Smoothed Better Heiken Ashi Open * (1 - Smoothing Factor))
Smoothed Better Heiken Ashi Close = (Better Heiken Ashi Close * Smoothing Factor) + (Previous Smoothed Better Heiken Ashi Close * (1 - Smoothing Factor))
The smoothed Better Heiken Ashi Open and Close values are then used to calculate the smoothed Better Heiken Ashi High and Low values, resulting in "better" candles that provide a clearer representation of the market trend and potential reversal points.
It's important to note that, like any other technical analysis tool, Heiken Ashi "better" candles are not foolproof and should be used in conjunction with other indicators and analysis techniques to make well-informed trading decisions.
Heiken Ashi "better" candles, as mentioned previously, provide a clearer representation of market trends and potential reversal points by reducing noise and smoothing out price data. When using these candles in conjunction with other technical analysis tools and indicators, traders can gain valuable insights into market behavior and make more informed decisions.
To effectively use Heiken Ashi "better" candles in your trading strategy, consider the following tips:
Trend Identification: Heiken Ashi "better" candles can help you identify the prevailing trend in the market. When the majority of the candles are green (or another color, depending on your chart settings) and there are no or few lower wicks, it may indicate a strong uptrend. Conversely, when the majority of the candles are red (or another color) and there are no or few upper wicks, it may signal a strong downtrend.
Trend Reversals: Look for potential trend reversals when a change in the color of the candles occurs, especially when accompanied by longer wicks. For example, if a green candle with a long lower wick is followed by a red candle, it could indicate a bearish reversal. Similarly, a red candle with a long upper wick followed by a green candle may suggest a bullish reversal.
Support and Resistance: You can use Heiken Ashi "better" candles to identify potential support and resistance levels. When the candles are consistently moving in one direction and then suddenly change color with longer wicks, it could indicate the presence of a support or resistance level.
Stop-Loss and Take-Profit: Using Heiken Ashi "better" candles can help you manage risk by determining optimal stop-loss and take-profit levels. For instance, you can place your stop-loss below the low of the most recent green candle in an uptrend or above the high of the most recent red candle in a downtrend.
Confirming Signals: Heiken Ashi "better" candles should be used in conjunction with other technical indicators, such as moving averages, oscillators, or chart patterns, to confirm signals and improve the accuracy of your analysis.
In this implementation, you have the choice of AMA, KAMA, or T3 smoothing. These are as follows:
Kaufman Adaptive Moving Average (KAMA)
The Kaufman Adaptive Moving Average (KAMA) is a type of adaptive moving average used in technical analysis to smooth out price fluctuations and identify trends. The KAMA adjusts its smoothing factor based on the market's volatility, making it more responsive in volatile markets and smoother in calm markets. The KAMA is calculated using three different efficiency ratios that determine the appropriate smoothing factor for the current market conditions. These ratios are based on the noise level of the market, the speed at which the market is moving, and the length of the moving average. The KAMA is a popular choice among traders who prefer to use adaptive indicators to identify trends and potential reversals.
Adaptive Moving Average
The Adaptive Moving Average (AMA) is a type of moving average that adjusts its sensitivity to price movements based on market conditions. It uses a ratio between the current price and the highest and lowest prices over a certain lookback period to determine its level of smoothing. The AMA can help reduce lag and increase responsiveness to changes in trend direction, making it useful for traders who want to follow trends while avoiding false signals. The AMA is calculated by multiplying a smoothing constant with the difference between the current price and the previous AMA value, then adding the result to the previous AMA value.
T3
The T3 moving average is a type of technical indicator used in financial analysis to identify trends in price movements. It is similar to the Exponential Moving Average (EMA) and the Double Exponential Moving Average (DEMA), but uses a different smoothing algorithm.
The T3 moving average is calculated using a series of exponential moving averages that are designed to filter out noise and smooth the data. The resulting smoothed data is then weighted with a non-linear function to produce a final output that is more responsive to changes in trend direction.
The T3 moving average can be customized by adjusting the length of the moving average, as well as the weighting function used to smooth the data. It is commonly used in conjunction with other technical indicators as part of a larger trading strategy.
█ Giga Kaleidoscope Modularized Trading System
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR (Average True Range) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility. As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double (TRD), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index (RSI).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands, the MACD (Moving Average Convergence Divergence), and the MACD Oscillator. These indicators can provide information about the volatility, momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility/Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow (CMF), or the Volume Price Trend (VPT), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index. Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR, the Average Directional Index (ADX), and the Chandelier Exit.
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-C(Continuation) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: Adaptive-Lookback Phase Change Index as shown on the chart above
Confirmation 2: Williams Percent Range
Continuation: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm)
Standard Entry
1. GKD-C Confirmation 1 Signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Volatility/Volume Entry
1. GKD-V Volatility/Volume signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Continuation Entry
1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously
2. GKD-B Baseline hasn't crossed since entry signal trigger
3. GKD-C Confirmation Continuation Indicator signals
4. GKD-C Confirmation 1 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 2 agrees
1-Candle Rule Standard Entry
1. GKD-C Confirmation 1 signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
1-Candle Rule Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
1-Candle Rule Volatility/Volume Entry
1. GKD-V Volatility/Volume signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close)
2. GKD-B Volatility/Volume agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-B Baseline agrees
PullBack Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is beyond 1.0x Volatility of Baseline
Next Candle:
1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
2. GKD-C Confirmation 1 agrees
3. GKD-C Confirmation 2 agrees
4. GKD-V Volatility/Volume Agrees
]█ Setting up the GKD
The GKD system involves chaining indicators together. These are the steps to set this up.
Use a GKD-C indicator alone on a chart
1. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Simple"
Use a GKD-V indicator alone on a chart
**nothing, it's already useable on the chart without any settings changes
Use a GKD-B indicator alone on a chart
**nothing, it's already useable on the chart without any settings changes
Baseline (Baseline, Backtest)
1. Import the GKD-B Baseline into the GKD-BT Backtest: "Input into Volatility/Volume or Backtest (Baseline testing)"
2. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Baseline"
Volatility/Volume (Volatility/Volume, Backte st)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Solo"
2. Inside the GKD-V indicator, change the "Signal Type" setting to "Crossing" (neither traditional nor both can be backtested)
3. Import the GKD-V indicator into the GKD-BT Backtest: "Input into C1 or Backtest"
4. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Volatility/Volume"
5. Inside the GKD-BT Backtest, a) change the setting "Backtest Type" to "Trading" if using a directional GKD-V indicator; or, b) change the setting "Backtest Type" to "Full" if using a directional or non-directional GKD-V indicator (non-directional GKD-V can only test Longs and Shorts separately)
6. If "Backtest Type" is set to "Full": Inside the GKD-BT Backtest, change the setting "Backtest Side" to "Long" or "Short
7. If "Backtest Type" is set to "Full": To allow the system to open multiple orders at one time so you test all Longs or Shorts, open the GKD-BT Backtest, click the tab "Properties" and then insert a value of something like 10 orders into the "Pyramiding" settings. This will allow 10 orders to be opened at one time which should be enough to catch all possible Longs or Shorts.
Solo Confirmation Simple (Confirmation, Backtest)
1. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Simple"
1. Import the GKD-C indicator into the GKD-BT Backtest: "Input into Backtest"
2. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Solo Confirmation Simple"
Solo Confirmation Complex without Exits (Baseline, Volatility/Volume, Confirmation, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained"
2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
3. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Complex"
4. Import the GKD-V indicator into the GKD-C indicator: "Input into C1 or Backtest"
5. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full wo/ Exits"
6. Import the GKD-C into the GKD-BT Backtest: "Input into Exit or Backtest"
Solo Confirmation Complex with Exits (Baseline, Volatility/Volume, Confirmation, Exit, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained"
2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
3. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Complex"
4. Import the GKD-V indicator into the GKD-C indicator: "Input into C1 or Backtest"
5. Import the GKD-C indicator into the GKD-E indicator: "Input into Exit"
6. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full w/ Exits"
7. Import the GKD-E into the GKD-BT Backtest: "Input into Backtest"
Full GKD without Exits (Baseline, Volatility/Volume, Confirmation 1, Confirmation 2, Continuation, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained"
2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
3. Inside the GKD-C 1 indicator, change the "Confirmation Type" setting to "Confirmation 1"
4. Import the GKD-V indicator into the GKD-C 1 indicator: "Input into C1 or Backtest"
5. Inside the GKD-C 2 indicator, change the "Confirmation Type" setting to "Confirmation 2"
6. Import the GKD-C 1 indicator into the GKD-C 2 indicator: "Input into C2"
7. Inside the GKD-C Continuation indicator, change the "Confirmation Type" setting to "Continuation"
8. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full wo/ Exits"
9. Import the GKD-E into the GKD-BT Backtest: "Input into Exit or Backtest"
Full GKD with Exits (Baseline, Volatility/Volume, Confirmation 1, Confirmation 2, Continuation, Exit, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained"
2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
3. Inside the GKD-C 1 indicator, change the "Confirmation Type" setting to "Confirmation 1"
4. Import the GKD-V indicator into the GKD-C 1 indicator: "Input into C1 or Backtest"
5. Inside the GKD-C 2 indicator, change the "Confirmation Type" setting to "Confirmation 2"
6. Import the GKD-C 1 indicator into the GKD-C 2 indicator: "Input into C2"
7. Inside the GKD-C Continuation indicator, change the "Confirmation Type" setting to "Continuation"
8. Import the GKD-C Continuation indicator into the GKD-E indicator: "Input into Exit"
9. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full w/ Exits"
10. Import the GKD-E into the GKD-BT Backtest: "Input into Backtest"
Baseline + Volatility/Volume (Baseline, Volatility/Volume, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Baseline + Volatility/Volume"
2. Inside the GKD-V indicator, make sure the "Signal Type" setting is set to "Traditional"
3. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
4. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Baseline + Volatility/Volume"
5. Import the GKD-V into the GKD-BT Backtest: "Input into C1 or Backtest"
6. Inside the GKD-BT Backtest, change the setting "Backtest Type" to "Full". For this backtest, you must test Longs and Shorts separately
7. To allow the system to open multiple orders at one time so you can test all Longs or Shorts, open the GKD-BT Backtest, click the tab "Properties" and then insert a value of something like 10 orders into the "Pyramiding" settings. This will allow 10 orders to be opened at one time which should be enough to catch all possible Longs or Shorts.
Requirements
Inputs
Confirmation 1: GKD-V Volatility / Volume indicator
Confirmation 2: GKD-C Confirmation indicator
Continuation: GKD-C Confirmation indicator
Solo Confirmation Simple: GKD-B Baseline
Solo Confirmation Complex: GKD-V Volatility / Volume indicator
Solo Confirmation Super Complex: GKD-V Volatility / Volume indicator
Stacked 1: None
Stacked 2+: GKD-C, GKD-V, or GKD-B Stacked 1
Outputs
Confirmation 1: GKD-C Confirmation 2 indicator
Confirmation 2: GKD-C Continuation indicator
Continuation: GKD-E Exit indicator
Solo Confirmation Simple: GKD-BT Backtest
Solo Confirmation Complex: GKD-BT Backtest or GKD-E Exit indicator
Solo Confirmation Super Complex: GKD-C Continuation indicator
Stacked 1: GKD-C, GKD-V, or GKD-B Stacked 2+
Stacked 2+: GKD-C, GKD-V, or GKD-B Stacked 2+ or GKD-BT Backtest
Additional features will be added in future releases.
9 Seasons Rainbow Indicator EXPERT [GO8686]A stable release of EXPERT version.
"Expert" is a release with features between Standard and PRO version, with initial features:
9 Ribbons, 4 Alerts Set, Time frame >= 15m, which may change later.
The indicator discovers profitable patterns by associating Price Season of multiple time frames.
Full Name: 9 Seasons Rainbow - Multiple Time Frames Associated Price Wave Pattern Indicator
This is redefined from “9 Seasons Rainbow Indicator PRO”, with clearer definition of 9 Seasons and user manual.
Version: Invite-Only Expert
Language: English
Copyright: 2019
---------- How to use the indicator ----------
Go through the manual and related ideas underneath or follow the tutorials list. Look through the profitable patterns and related cases, wait for or set alert for specific profitable pattern.
---------- Definition: 9 Seasons ----------
A life cycle of Price Wave is divided into 9 Seasons. Each time frame, from 5 minute to 1 month, has 9 seasons, Independent of each other:
Bull (Green)
Bull Pullback (Light Green): a pullback or retracement
Resistance / Overbought (Yellow): a resistance area , may become a Top, or be broken through.
Crazy Bought (Lime): Price is going up in a high volatility , could be a valid breakout, or a Bull Trap.
Neutral (White): a wandering season without direction, evolves into Bull or Bear
Bear (Red)
Bear Bounce (Light Red): Price bounces
Support / Oversold (Blue): a support area , may become a Bottom, or be broken through.
Crazy Sold (Fuchsia): Price is going down in a high volatility , could be a valid breakdown, or a Bear Trap.
---------- Some important evolution between seasons ----------
Resistance / Overbought (Yellow) -> Crazy Bought (Lime):
Bull is breaking through a resistance.
Crazy Bought (Lime) -> Resistance / Overbought (Yellow):
This normally indicates a failed breakout, Price goes back to the resistance.
Crazy Bought (Lime) -> Bull Pullback (Light Green):
This normally indicates Price has risen to a new level
Support / Oversold (Blue) -> Crazy Sold (Fuchsia):
Bear is breaking through a support.
Crazy Sold (Fuchsia) -> Support / Oversold (Blue):
This normally indicates a failed breakdown, Price recovers to the support.
Crazy Sold (Fuchsia) -> Bear Bounce (Light Red):
This normally indicates price has dropped to a new level
---------- Rainbow Ribbons for Multiple Time Frames ----------
Each ribbon of a rainbow represents a time frame.
The uppermost ribbon represents the shortest-term time frame - current time period of the chart, which is the time frame for trading.
The lowermost ribbon represent longest-term time frame, which work as environment, together with the other medium-term and long-term time frames.
The difference between two frames is 1.4142 fold (square root of 2), if level 1 is 15 minute, level 2 is 15 minute * (square root of 2) .
Examples of time frames in a rainbow:
For STANDARD in 15M: 15M - 21M - 30M - 42M - 60M(1H) - 85M
For EXPERT: 15M - 21M - 30M - 42M - 60M(1H) - 85M - 120M(2H) - 170M - 240M(4H)
For PRO in 15M: 15M - 21M - 30M - 42M - 60M(1H) - 85M - 120M(2H) - 170M - 240M(4H) - 339M - 480M(8H) - 679M
---------- Trading Methods ----------
How to open a Long position?
When a profitable Long pattern appears, open small position first based on signal on shortest-term time frame; after retesting and confirming the support, open 2nd position; when it breaks through the resistance, pullbacks and confirms the breakout, open 3rd position.
How to exit a Long position?
Lift the Stop to a confirmed higher low, so that to take advantages of the bull run as possible.
How to open a Short position?
When a profitable Short pattern appears, open small position first based on signal on shortest-term time frame; after retesting and confirming the resistance, open 2nd position; when it breaks through the support, bounces and confirms the breakdown, add 3rd position.
How to exit a Short position?
Lower the Stop to a confirmed lower high, so that to take advantages of the bear run as possible.
---------- Access to Indicators ----------
Please use DEMO version for Trial
PM the author for access to Invite-Only PRO, EXPERT and STANDARD versions:
---------- How to Install Invite Only: STANDARD, EXPERT & PRO Version----------
Ask access to STANDARD, EXPERT or PRO version
Open the chart -> Indicators (On the Top) -> Invite-Only Scripts (2nd button of the left bar)
Like/Favorite the indicator
Click to install on the chart
---------- About Loading Time ----------
It may take up to 2 minutes for your browser to load a new setting, depending on the your computer and network speed.
---------- List of the author's Indicators ----------
www.tradingview.com
---------- Disclaimer ----------
By using or requesting access to the indicator, you acknowledge that you have read and accepted that the indicator and any related content, including but not limited to: product details, user manual, tutorials, ideas, videos, chats, emails, blog, talks are for the purpose of trading strategies studying and paper trading only.
If a customer or user uses the indicator or related content mentioned above for live trading or investment, she/he should take all risks and be responsible for her/his own trading and investment activities.
---------- Updates ----------
The latest updates override the previous description.
To activate a update: Close the browser, Reopen the chart and apply the indicator.
The features may change later.
---------- Tags ----------
MTF, multiple timeframes, multiple time frames, multi timeframes, multi time frames
9 Seasons Rainbow Multi Time Frames Pattern Expert [9SRPEN]"Expert" is a release with features between Standard and PRO version, with initial features:
9 Ribbons, 4 Alerts Set, Time frame >= 15m, which may change later.
The indicator discovers profitable patterns by associating Price Season of multiple time frames.
Full Name: 9 Seasons Rainbow - Multiple Time Frames Associated Price Wave Pattern Indicator
This is redefined from “9 Seasons Rainbow Indicator PRO”, with clearer definition of 9 Seasons and user manual.
Version: Invite-Only Expert
Language: English
Copyright: 2019
---------- How to use the indicator ----------
Go through the manual and related ideas underneath or follow the tutorials list. Look through the profitable patterns and related cases, wait for or set alert for specific profitable pattern.
---------- Definition: 9 Seasons ----------
A life cycle of Price Wave is divided into 9 Seasons. Each time frame, from 5 minute to 1 month, has 9 seasons, Independent of each other:
Bull (Green)
Bull Pullback (Light Green): a pullback or retracement
Resistance / Overbought (Yellow): a resistance area , may become a Top, or be broken through.
Crazy Bought (Lime): Price is going up in a high volatility , could be a valid breakout, or a Bull Trap.
Neutral (White): a wandering season without direction, evolves into Bull or Bear
Bear (Red)
Bear Bounce (Light Red): Price bounces
Support / Oversold (Blue): a support area , may become a Bottom, or be broken through.
Crazy Sold (Fuchsia): Price is going down in a high volatility , could be a valid breakdown, or a Bear Trap.
---------- Some important evolution between seasons ----------
Resistance / Overbought (Yellow) -> Crazy Bought (Lime):
Bull is breaking through a resistance.
Crazy Bought (Lime) -> Resistance / Overbought (Yellow):
This normally indicates a failed breakout, Price goes back to the resistance.
Crazy Bought (Lime) -> Bull Pullback (Light Green):
This normally indicates Price has risen to a new level
Support / Oversold (Blue) -> Crazy Sold (Fuchsia):
Bear is breaking through a support.
Crazy Sold (Fuchsia) -> Support / Oversold (Blue):
This normally indicates a failed breakdown, Price recovers to the support.
Crazy Sold (Fuchsia) -> Bear Bounce (Light Red):
This normally indicates price has dropped to a new level
---------- Rainbow Ribbons for Multiple Time Frames ----------
Each ribbon of a rainbow represents a time frame.
The uppermost ribbon represents the shortest-term time frame - current time period of the chart, which is the time frame for trading.
The lowermost ribbon represent longest-term time frame, which work as environment, together with the other medium-term and long-term time frames.
The difference between two frames is 1.4142 fold (square root of 2), if level 1 is 15 minute, level 2 is 15 minute * (square root of 2) .
Examples of time frames in a rainbow:
For STANDARD in 15M: 15M - 21M - 30M - 42M - 60M(1H) - 85M
For EXPERT: 15M - 21M - 30M - 42M - 60M(1H) - 85M - 120M(2H) - 170M - 240M(4H)
For PRO in 15M: 15M - 21M - 30M - 42M - 60M(1H) - 85M - 120M(2H) - 170M - 240M(4H) - 339M - 480M(8H) - 679M
---------- Trading Methods ----------
How to open a Long position?
When a profitable Long pattern appears, open small position first based on signal on shortest-term time frame; after retesting and confirming the support, open 2nd position; when it breaks through the resistance, pullbacks and confirms the breakout, open 3rd position.
How to exit a Long position?
Lift the Stop to a confirmed higher low, so that to take advantages of the bull run as possible.
How to open a Short position?
When a profitable Short pattern appears, open small position first based on signal on shortest-term time frame; after retesting and confirming the resistance, open 2nd position; when it breaks through the support, bounces and confirms the breakdown, add 3rd position.
How to exit a Short position?
Lower the Stop to a confirmed lower high, so that to take advantages of the bear run as possible.
---------- Access to Indicators ----------
Please use DEMO version for Trial
PM the author for access to Invite-Only PRO, EXPERT and STANDARD versions:
---------- How to Install Invite Only: STANDARD, EXPERT & PRO Version----------
Ask access to STANDARD, EXPERT or PRO version
Open the chart -> Indicators (On the Top) -> Invite-Only Scripts (2nd button of the left bar)
Like/Favorite the indicator
Click to install on the chart
---------- About Loading Time ----------
It may take up to 2 minutes for your browser to load a new setting, depending on the your computer and network speed.
---------- List of the author's Indicators ----------
www.tradingview.com
---------- Disclaimer ----------
By using or requesting access to the indicator, you acknowledge that you have read and accepted that the indicator and any related content, including but not limited to: product details, user manual, tutorials, ideas, videos, chats, emails, blog, talks are for the purpose of trading strategies studying and paper trading only.
If a customer or user uses the indicator or related content mentioned above for live trading or investment, she/he should take all risks and be responsible for her/his own trading and investment activities.
---------- Updates ----------
The latest updates override the previous description.
To activate a update: Close the browser, Reopen the chart and apply the indicator.
---------- Tags ----------
multiple timeframes, MTF, multiple time frames, multi timeframes, multi time frames
9 Seasons Rainbow Multi TimeFrames Pattern Standard-A [9SRSAEN]The indicator discovers profitable patterns by associating Price Season of multiple timeframes.
Full Name: 9 Seasons Rainbow - Multiple TimeFrames Associated Price Wave Pattern Indicator
Version: Invite-Only STANDARD-A
This is a sibling version OF “9 Seasons Rainbow Multi TimeFrames Pattern Standard ” with some functions for developing needs, without update notice function.
Language: English
Copyright: 2019
---------- How to use the indicator ----------
Go through the manual and related ideas underneath or follow the tutorials list. Look through the profitable patterns and related cases, wait for or set alert for specific profitable pattern.
---------- Definition: 9 Seasons ----------
A life cycle of Price Wave is divided into 9 Seasons. Each time frame, from 5 minute to 1 month, has 9 seasons, Independent of each other:
Bull (Green)
Bull Pullback (Light Green): a pullback or retracement
Resistance / Overbought (Yellow): a resistance area , may become a Top, or be broken through.
Crazy Bought (Lime): Price is going up in a high volatility , could be a valid breakout, or a Bull Trap.
Neutral (White): a wandering season without direction, evolves into Bull or Bear
Bear (Red)
Bear Bounce (Light Red): Price bounces
Support / Oversold (Blue): a support area , may become a Bottom, or be broken through.
Crazy Sold (Fuchsia): Price is going down in a high volatility , could be a valid breakdown, or a Bear Trap.
---------- Some important evolution between seasons ----------
Resistance / Overbought (Yellow) -> Crazy Bought (Lime):
Bull is breaking through a resistance.
Crazy Bought (Lime) -> Resistance / Overbought (Yellow):
This normally indicates a failed breakout, Price goes back to the resistance.
Crazy Bought (Lime) -> Bull Pullback (Light Green):
This normally indicates Price has risen to a new level
Support / Oversold (Blue) -> Crazy Sold (Fuchsia):
Bear is breaking through a support.
Crazy Sold (Fuchsia) -> Support / Oversold (Blue):
This normally indicates a failed breakdown, Price recovers to the support.
Crazy Sold (Fuchsia) -> Bear Bounce (Light Red):
This normally indicates price has dropped to a new level
---------- Rainbow Ribbons for Multiple TimeFrames ----------
Each ribbon of a rainbow represents a time frame.
The uppermost ribbon represents the shortest-term time frame - current time period of the chart, which is the time frame for trading.
The lowermost ribbon represent longest-term time frame, which work as environment, together with the other medium-term and long-term time frames.
The difference between two frames is 1.4142 fold (square root of 2), if level 1 is 15 minute, level 2 is 15 minute * (square root of 2) .
Examples of time frames in a rainbow:
For STANDARD in 15M: 15M - 21M - 30M - 42M - 60M(1H) - 85M - 120M(2H) - 170M
For PRO in 15M: 15M - 21M - 30M - 42M - 60M(1H) - 85M - 120M(2H) - 170M - 240M(4H) - 339M - 480M(8H) - 679M
---------- Trading Methods ----------
How to open a Long position?
When a profitable Long pattern appears, open small position first based on signal on shortest-term time frame; after retesting and confirming the support, open 2nd position; when it breaks through the resistance, pullbacks and confirms the breakout, open 3rd position.
How to exit a Long position?
Lift the Stop to a confirmed higher low, so that to take advantages of the bull run as possible.
How to open a Short position?
When a profitable Short pattern appears, open small position first based on signal on shortest-term time frame; after retesting and confirming the resistance, open 2nd position; when it breaks through the support, bounces and confirms the breakdown, add 3rd position.
How to exit a Short position?
Lower the Stop to a confirmed lower high, so that to take advantages of the bear run as possible.
---------- Versions Description ----------
The author reserves the right to change the features without advance notice.
PRO:
Invite-Only, with the following advanced features:
12 Ribbons Rainbow displays 9 Seasons of 12 time frames on a chart.
Advanced alert sets allows set alerts on short-term, medium-term, and long-term time frames.
Capability to input different trading instrument to compare with the current ticker.
Full time periods access allows apply it to broadest time periods, from 1 minute to 1 week (if history data is enough)
More new features in updates.
STANDARD:
Invite-Only, with the following advanced features:
8 Ribbons Rainbow displays 9 Seasons of 8 time frames on a chart.
Advanced alert sets allows set alerts on upper and lower frames.
Broad time periods access allows apply it to the most popular time periods, from 15 minute to 1 week (if history data is enough)
More new features in updates.
DEMO:
DEMO version is for trial purpose, having most of the features.
It is applicable to a list of trading instruments and specific time periods (1 hour to 1 day), which may change later without advance notice.
---------- Access to Indicators ----------
Please use DEMO version for Trial
Asking access to Invite-Only PRO and STANDARD versions:
9seasonsrainbowindicator.blogspot.com
Or contact the author.
---------- Install Invite Only: STANDARD & PRO Version----------
Ask access to STANDARD or PRO version
Open the chart -> Indicators (On the Top) -> Invite-Only Scripts (2nd button of the left bar)
Like/Favorite the indicator
Click to install on the chart
---------- About Loading Time ----------
It may take up to 2 minutes for your browser to load a new setting, depending on the your computer and network speed.
---------- List of the author's Indicators ----------
www.tradingview.com
---------- Disclaimer ----------
By using or requesting access to the indicator, you acknowledge that you have read and accepted that the indicator and any related content, including but not limited to: user manual, tutorials, ideas, videos, chats, emails, blog, are for the purpose of trading strategies studying and paper trading.
If a customer or user uses the indicator or related content mentioned above for live trading or investment, she/he should take all risks and be responsible for her/his own trading and investment activities.
---------- Updates ----------
The latest updates override the previous description.
To activate a update: Close the browser, Reopen the chart and apply the indicator.
