Equal-Length EMA/SMA Crossover Momentum StrategyOverview:
This momentum and trend-following strategy captures the majority of any trending move, and works well on high timeframes.
It uses an equal-period EMA and SMA crossover to detect trend acceleration/deceleration, since an EMA places a greater weight and significance on the most recent data.
This version is optimized for longs, and designed to cut your losses quickly and let your winners run.
To reduce noise and optimize entries, we combined this with an overall trend bias for further confluence.
How it works:
Signals are determined by the crossover of an EMA and SMA of the same length, e.g. EMA-50 and SMA-50.
The overall trend bias is determined using a slower SMA golden/death cross, e.g. SMA-50 and SMA-100.
The signal is stronger when it occurs in confluence with the overall trend bias, e.g. when EMA-50 crosses over SMA-50, while above the SMA-100. This is analogous to only opening long positions in a bull market.
Signal description:
Trend Buy: EMA crosses above SMA, and overall trend bias is bullish. Buying is in confluence with the overall trend bias.
Risky Buy: EMA crosses above SMA, and overall trend bias is bearish. Buying is early, more risky, and not in confluence with the overall trend bias.
Late Buy: SMA crosses above BIAS_SLOW. This gives further confirmation of bullish trend, but signal comes later.
Sell: EMA crosses under SMA.
Strategy entry and exit conditions:
This version enters a Long when "TREND BUY" is signalled.
This version has Sell/Shorts disabled because UP ONLY.
Long entry: Strategy enters Long when EMA is above SMA, while overall trend bias is bullish.
Long exit: Close long when EMA crosses under SMA.
Komut dosyalarını "entry" için ara
Dynamic RSIThe standard setting of RSI is 14 periods, with the 30 line being oversold and the 70 line being overbought.
However, it is not effective to use only that number as an entry.
In the long time frame, it shows the momentum of bullish/bearish pressure and does not reverse immediately.
In the short time frame, the reversal appear frequently and it is difficult to make a decision.
This script calculates the zone based on the recent RSI fluctuation.
You will fix your entry direction whether the center line is above or below the RSI(50).
A return to the zone is a sign of entry, which eliminates hesitation.
It may be able to be used even in parallel range or against trend.
The basic idea is based on the following script;
Divergence RSI-OBVDivergence detector on RSI of On Balance Volume. Using a modified script from XaviZ(RSI-VWAP) but instead of VWAP as a source in this script source is OBV, for divergence detector is a script from Libertus. In this version, results are filtered using STOCH oversold or overbought filter from matt_b script MFI Divergence v2.
An indicator for entry in choppy markets, signals for entry in trending market to follow the trend work well. A good way to spot if there is a weakness in a trend but gives too many false positives for spot reversal, so only good for scalping with tight stops if betting against the trend. Multiple divergences in combination with indicator hitting the overbought or oversold should give good places for entry.
GAURs Polynomial Regression ChannelsThanks to The Sweet Lord , here is the Gaur's Polynomial Regression Channel.
Its a Polynomial Regression Channel but applied a little differently. Wont go into technical details much. Overview of options is as follows-
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Channel Options
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1. Degree of Polynomial: 1/2/3
Default = 3
Defines the degree of polynomials - 1,2,3. Note here, degree 1 will not be a straight line since its applied differently.
Try different degrees for different fits and market conditions.
2. Channel Length:
Default 30 (candles)
You can go beyond 100 or 200 candle lengths but smaller is the usual preference of Poly-Reg-channel traders. It all depends on market conditions and your style of trading. Do your research. I am usually comfortable with a range of 20-50 (in crypto markets).
3. Basis of Channel height/boundries: ATR/Manual
Default: ATR
ATR provides a dynamically adjusted entry/exit bounds of the channels. As ATR changes, the channel bounds also changes its height. It can also be fixed manually. Manual heights wont change automatically.
4. Basis of Y-Value: open/close/ sma / ema / wma /hilow
Default: close
Y- value is the y value of the (x,y) coordinates used while calculating the regression coefficients. Dont worry about it, its nothing serious.
5. Apply channel smoothning using sma?: Yes/No
Default: Yes
Without smoothning, the channel does not "look" good.
6. Shaded Area Height Percentage:
Its the extra margin for the channel. Its in percentage of the total height (defined 3 above) of channels. The shaded area provides an extra allowance for your entries or exits beyond the ATR or manual heights.
7. Plot RSI?: Yes/No
Default: Yes
Plots RSI (orange line in between the channel - its different from the dotted center line) considering the downbound of channels as 0 (oversold) and upbound of channels as 100 (overbought)
8. Plot 200 sma?: Yes/No
Default: Yes
It plots a 200 period fast (green) and 225 period slow (red) sma . I usually use two MAs. Its visually very easy to understand.
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Sample Strategy
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You can develop your own strategy with the channels. But following is just one of the ways you can trade.
Best Application: Ranging markets. But can be happily used in volatile conditions, with a little experience.
1. SMA: -- (this condition is optional really)
If green (200) is above red (225) go only long. If red is above green go only short. Defines long term trend of the market.
2. Channel slope: -- (this stuff needs practice/experience)
Depending on the channel slope, like if its tending to go up or down, you can choose to take only short or long trades. It defines short term momentum of the market.
3. ATR based heights:
Since its ATR based, the channel height are our natural entry and exit points.
Long:
When price touches lower shaded area, consider possible long entry. Exit on price entering the upper shaded area.
Short:
Enter on upper bound shaded area, exit on lower.
4. RSI:
For additional conformations. Again note, the RSI considers the lower bound of channel as 0 and upper as 100. But since, the channel moves up and down, the RSI will also move not only as RSI but also with the channel. Meaning, say if the RSI is valued at 50, then it will be near the center of the channel but since the center changes as time and price changes, the RSI valued at 50 at different times will not be at the same horizontal level respect to the graph, although it will be at the same level (center) respect to the channel.
5. PRC Channel Percentage label:
This label is at the lower side a bit ahead of the current candle. Provides you info on what is the channel percentage. This is especially helpful in crypto markets to gauge your possible percentage profit where profits can be much higher than forex or other instruments. It can also helps you select a suitable market/instrument if the channels are based on ATR.
6. Extra indicators:
I usually use stochastic along with this setup for extra conformations.
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Donate
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Use freely and donate generously if you find value. Your help will really help.
I had earlier provided BTC addresses for donations but it seems to violate TV House rules.
Hope they make TV coins redeemable in future.
- Pranav Joshi
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Extra Info
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// © cpranavjoshi
// special thanks to the "Trading View" people for providing this great platform for free
// ------------------------
// MATH
// ------------------------
// special thanks to an article on the web that provided layman friendly explanation of the maths
// unfortunately i wont be able to provide the link to that article owing to TV restrictions, though i sincerely would have liked to credit the author.
// Google search this phrase, and you should be able to get it in one of the first results - "polynomialregression Mathematics of Polynomial Regression"
// my regression math calculation is a further resolution upon the generalized matrix formula given in the that article.
// the generalized matrix looks scary but in fact its much simpler than one may assume
// the summation sign things are just float numbers that can be easily found out
// so we get a matrix with number of equations equal to the number of unknowns.
// e.g. if its a 3rd degree poly, it has 4 unknowns (c0,c1,c2,c3) with 4 equations as in the generalized matrix
// it can be resolved by simple algebra
// Note: the results have been verified with excel using same input data points.
// pine was difficult for me so i coded it in python first to verify
// ------------------------
// WHY
// ------------------------
// this script was coded because Pranav badly needed Polynomial channels (had used them in mt4 earlier)
// and at the time of this coding, i could not find any readily available script in the trading view public library ( tnx public)
// the complex math was probably the hurdle
// i m not good in maths, but by the Will of the Lord, i could resolve the issue with simple algebra and logic
// ------------------------
// PINE
// ------------------------
// i am just an average (even poor probably) programmer and pine script is not my language
// this is a humble attempt to write my first pine with whatever i could do quickly
// experts - feel free to develop if needed. have used some workarounds in drawings/plottings. rectify them if possible
//
//
// - Pranav Joshi
Growth Producer
Applicable to FTX:ETHPERP 15 min
Relative volatility index (RVI) that will determine the entry and exit points only when the volatility will start to increase and Money Flow index as an additional point for entry.
IMPORTANT
• Input Partial take profits in your Bot settings
• This is a trend strategy and works better in the trending market
• We added the trend identifier using the EMA and SMA interaction
• We added Take profit and stop loss levels
• We added inputs for the period selection, so you could see how the strategy is performing on a monthly basis.
• RVI for the entry conditions
• MFI was added for the additional entries.
• Partial Take-profits
Histogram - Price Action - Dy CalculatorThis script aims to help users of Price Action robot, for Smarttbot (brazilian site that automates Brazilian market (B3)).
You can use on any symbol.
The script will follow price action principles. It will calculate the absolute value of last candle and compare with actual candle. Colors are:
- Red - If the actual candle absolute value is higher than previous one, and the price is lower than last candle. It would be a short entry.
- Blue - If the actual candle absolute value is higher than previous one, and the price is higher than last candle. It would be a long entry.
- Black - The actual candle absolute value is lower than previous one, so there is no entry.
If there is a candle that is higher than previous one, and both high and low values are outside boundaries of previous one, it will calculate which boundary is bigger and will apply the collor accordingly.
inwCoin Martingale Strategy ( for Bitcoin )** Same as my previous martingale script but this version = opensource **
inwCoin Martingale Strategy is the proof of concept strategy that in the end, anyone who using martingale strategy will kaboom their portfolio.
For those who don't know what is "martingale".. it's a simple double down strategy in the hope to cover the loss in previous entry.
Example
In the game that if you win, you'll get 100% of your bet money back.
1st loss = 1$
2nd loss = bet 2$ : if win, get 2$ / real profit = 1$ ( 2-1 )
3rd loss = bet 4$ : if win, get 4$ / real profit = 1$ ( 4 - ( 2+1) )
4th loss = bet 8$ : if win, get 8$ / real profit = 1$ ( 8 - ( 4+2+1 ) )
...
...
10th loss = bet 512$ : if win, get 512$ / real profit = 1$ ( 512 - ( 256+128+64+32+16+8+4+2+1) )
as you can see, the next bet will be first bet x 2^(n-1)
and the profit will equal to your first bet.
==================
In trading and forex EA ( Expert Advisor or bot ) people use this strategy to fool newbies that their martingale system will generate steady income for eternity.
But in reality, this strategy will destroy your whole portfolio eventually some time in the future. Because there will be some "Blackswan event" in market at some point in time. And one who ignore this fact, will lose everything.
But, if you using low risk strategy and generate some profit from your low-risk portfolio. You can take small chunk of that profit and put it in riskier strategy like this martingale, to accerelate your profit snowball.
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Parameter Explaination
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Price = datasource for indicator calculation
Fixed position size option = if uncheck, the "Start position size" parameter will be % of your initial capital. If checked, it will fixed position size ( like 1 BTC )
Start Position Logic = condition to enter first trade
- MACD singal > 0 : Self explanatory, default macd value
- Stochastic RSI cross up : enter when sto line cross up from bottom ( 20 )
- ATR channel : enter trade if price cross above 2.3 ATR
Take Profit Percent = take profit target % from average entry
Start martingale ..= if price compare to average position entry less than this %, it will start to double down ( martingale )
Martingale Multiplier = you can specific how big you'll double down, default is 2
Trade Direction = long only for now
Use date rang = self explanatory
** make sure to setup your initial capital in properties tab **
On chart
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White Line = Average position price
Orange Line = your current equity
If equity less than 0, it will close any remaining positions ( It's mean your position got liquidated )
If price > equity line for "take profit percent" it will close any remaining positions.
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As you can see, this strategy survive 2018 drop and pump profit to 1000+% ( Check in the strategy tester tab > list of trades )
But in May 2020 -50% drop in just 3 days, your whole portfolio got liquidated.
Actually, after some digging in profit and backtest result.
This strategy, when it can survive a shape drop, can generate a lot of profit.
So, if you want to use martingale. Make sure to use only small chunk of your profit from "low-risk" strategy to accelerate your profit generation ( aka degen port )
DO NOT greedy and use all of your initial capital or borrowed money to use with this strategy!
QQE signalsConverted the QQE oscillator to in-chart long and short signals with built in alerts. This is multi-timeframe and quite robust.
Waddah Attar Explosion and WaveTrend Oscillator combinedWaddah Attar Explosion by LazyBear and WaveTrend Oscillator by Krypt.
All credits goes to LazyBear and Krypt, i have only done some combining with the two indicators, barcolors and BG colors to clarify entrys and exits.
Combine with CM_Williams Vix_Fix, Super Guppy R1.0 by JustUncleL and you have a powerful tool.
Barcolors to look for
Aggressive Buy 1 = Lime
Agressive Buy 2 = Aqua
Buy = Green
Sell 1 = Orange
Sell 2 = Red
This is my first try, so be nice to me :-)
market phases - JDThis indicator shows the relation of price against different period ma's.
When put in daily Timeframe it gives the 1400 Day (= 200 Weekly) and the 200 ,100 an 50 Daily.
The lines show the 200,100 and 50 ma in relation to the 1400 ma.
JD.
#NotTradingAdvice #DYOR
NG [Wave Period Oscillator]The WPO is a short-term oscillator that measures the buying and selling period of price cycles over a certain time interval.
The leading oscillator indicates a rise in buying period when it moves above the zero line and a rise in selling period when it moves below the zero line.
Trading Tactics
Center line Crossover: a bullish center line crossover occurs when the WPO line moves above the zero level to turn positive.
A bearish center line crossover occurs when the WPO line moves below the zero level to turn negative.
When bulls are in control, the price rally begins and the average of the bull’s period T increases to drive the WPO line above the center line.
A buy signal is subsequently triggered.
When the bulls start to loose power, prices move sideways and the average period decreases. In this case, the WPO line may fl utter near the center line and cause false signals, whipsaws.
To avoid the whipsaws occurring on the center line, the following trading tactics are proposed:
Uptrend Tactic:
During an ideal uptrend, the WPO does not reach the lower boundary -2 and usually rebounds from a higher level than -2.
This means that the bulls have taken control earlier. Hence, a zero line crossover generates a buy signal. The WPO crosses the upper boundary at +2 then pulls back again below +2 to generate a sell signal.
Sideways Tactic:
During sideways, the WPO fluctuates between the lower and upper boundaries -2 and 2. This tactic is also used in an uptrend where corrections are strong enough to drive the WPO line below the lower boundary.
Downtrend Tactic:
During downtrends, the WPO fails to reach the upper boundary and oscillates between the 0 and -2 levels. The bears enter early indicating an obvious weakness in the market. Therefore, crossing the zero level generates a sell signal.
Exit at Weakness:
During uptrend reversals and downtrends, the WPO oscillates between the center line and the lower boundary -2. The bears are controlling the market and move in wide cycle periods while the bull’s strength is almost absent.
An exit signal is triggered once the WPO crosses -2. When prices decline, the WPO may cross its extreme lower boundary at -2.7. Therefore, a swift exit signal is triggered once the WPO crosses -2.
Re-Entry:
During uptrend, the WPO crosses down the upper boundary level at +2 to generate a sell signal. Yet, it does not reach the zero line and the oscillator moves back toward the upper boundary.
This case is considered as strength while a re-entry signal occurs at the +2 level crossover. The sell signal is generated when the WPO line crosses down the upper boundary.
Godmode strategyStill have no Idea how to avoid spam entrys on sideways or low difference price moves.
It's my first script, so if you have any idea how make it's better - let me know
Use it with Ashi, 15m.
EurUsd Momentum Heiken AshiEURUSD Monthly and Weekly indicator that measures the slope between open and close.
***Works best on Heiken Ashi-as it smooths out the lines.
-In essence, it is the same thing as Heiken Ashi but gives a better visual for entry beside "the candle is red so I should sell"
-Method For Entry:
**Look for a Higher Low to --->buy at indicator >=0
**Look for Lower High to ----->sell at indicator <=0
**Look at Heiken Ashi candle with support and resistance zones
**Draw trend-lines such as channels, pennants, etc..
[RS]Linear Regression Bands V1experiment with linear regression, the purpose was to catch break outs early, but it creates to much visual noise
same as version 0 but with added margin filter and signal to mark entrys
Multi-Timeframe RSI Grid Strategy with ArrowsKey Features of the Strategy
Multi-Timeframe RSI Analysis:
The strategy calculates RSI values for three different timeframes:
The current chart's timeframe.
Two higher timeframes (configurable via higher_tf1 and higher_tf2 inputs).
It uses these RSI values to identify overbought (sell) and oversold (buy) conditions.
Grid Trading System:
The strategy uses a grid-based approach to scale into trades. It adds positions at predefined intervals (grid_space) based on the ATR (Average True Range) and a grid multiplication factor (grid_factor).
The grid system allows for pyramiding (adding to positions) up to a maximum number of grid levels (max_grid).
Daily Profit Target:
The strategy has a daily profit target (daily_target). Once the target is reached, it closes all open positions and stops trading for the day.
Drawdown Protection:
If the open drawdown exceeds 2% of the account equity, the strategy closes all positions to limit losses.
Reverse Signals:
If the RSI conditions reverse (e.g., from buy to sell or vice versa), the strategy closes all open positions and resets the grid.
Visualization:
The script plots buy and sell signals as arrows on the chart.
It also plots the RSI values for the current and higher timeframes, along with overbought and oversold levels.
How It Works
Inputs:
The user can configure parameters like RSI length, overbought/oversold levels, higher timeframes, grid spacing, lot size multiplier, maximum grid levels, daily profit target, and ATR length.
RSI Calculation:
The RSI is calculated for the current timeframe and the two higher timeframes using ta.rsi().
Grid System:
The grid system uses the ATR to determine the spacing between grid levels (grid_space).
When the price moves in the desired direction, the strategy adds positions at intervals of grid_space, increasing the lot size by a multiplier (lot_multiplier) for each new grid level.
Entry Conditions:
A buy signal is generated when the RSI is below the oversold level on all three timeframes.
A sell signal is generated when the RSI is above the overbought level on all three timeframes.
Position Management:
The strategy scales into positions using the grid system.
It closes all positions if the daily profit target is reached or if a reverse signal is detected.
Visualization:
Buy and sell signals are plotted as arrows on the chart.
RSI values for all timeframes are plotted, along with overbought and oversold levels.
Example Scenario
Suppose the current RSI is below 30 (oversold), and the RSI on the 60-minute and 240-minute charts is also below 30. This triggers a buy signal.
The strategy enters a long position with a base lot size.
If the price moves against the position by grid_space, the strategy adds another long position with a larger lot size (scaled by lot_multiplier).
This process continues until the maximum grid level (max_grid) is reached or the daily profit target is achieved.
Key Variables
grid_level: Tracks the current grid level (number of positions added).
last_entry_price: Tracks the price of the last entry.
base_size: The base lot size for the initial position.
daily_profit_target: The daily profit target in percentage terms.
target_reached: A flag to indicate whether the daily profit target has been achieved.
Potential Use Cases
This strategy is suitable for traders who want to combine RSI-based signals with a grid trading approach to capitalize on mean-reverting price movements.
It can be used in trending or ranging markets, depending on the RSI settings and grid parameters.
Limitations
The grid trading system can lead to significant drawdowns if the market moves strongly against the initial position.
The strategy relies heavily on RSI, which may produce false signals in strongly trending markets.
The daily profit target may limit potential gains in highly volatile markets.
Customization
You can adjust the input parameters (e.g., RSI length, overbought/oversold levels, grid spacing, lot multiplier) to suit your trading style and market conditions.
You can also modify the drawdown protection threshold or add additional filters (e.g., volume, moving averages) to improve the strategy's performance.
In summary, this script is a sophisticated trading strategy that combines RSI-based signals with a grid trading system to manage entries, exits, and position sizing. It includes features like daily profit targets, drawdown protection, and multi-timeframe analysis to enhance its robustnes
Memecoin Shorter Indicator by CryptoMitchXMemecoin Shorter Indicator by CryptoMitchX
Introducing the "Memecoin Shorter Indicator" designed for traders looking to capitalize on the volatile nature of memecoins. This is built on the concept that MemeCoins can't sustain their rallies and that profits move into safer cryptocurrencies like Bitcoin or Stablecoins.
This indicator combines momentum, volume, and sentiment analysis to signal shorting opportunities with a cap at two consecutive signals to manage risk effectively.
Key Features:
Momentum Analysis: Uses Simple Moving Averages (SMA) to detect when the short-term trend crosses below the long-term trend, indicating potential downward momentum.
Volume Spike Detection: Identifies significant volume increases that could signify a reversal or continuation of a downtrend.
Simulated Sentiment Analysis: Monitors price volatility to simulate sentiment, suggesting "Take Profit" when conditions hint at negative market sentiment.
How to Use:
SHORT: The indicator marks "SHORT" on the chart when conditions are met to initiate a short position. This happens when negative momentum, volume spikes, or simulated negative sentiment are combined.
Take Profit: Signals to take profit after initiating a short position, again limited to two consecutive signals.
Strategies and Tips for Optimization:
Backtesting and Forward Testing:
Before live trading, backtest this indicator with historical data to see how it performs over different market conditions, especially during memecoin pump-and-dump cycles.
Use forward testing in a demo account to understand real-time performance without financial risk.
Customization:
Adjust the short_sma_length and long_sma_length according to the asset's volatility. More volatile memecoins might require shorter periods for quicker signals.
Modify volume_spike_threshold to be more or less sensitive to volume changes based on the average trading volume of the asset.
Risk Management:
Since this indicator allows for two consecutive signals, set strict stop-losses to manage risk. Consider the percentage drop from your entry price where you are comfortable cutting losses.
Use this indicator in conjunction with other technical analysis tools like RSI or MACD for confirmation signals to increase the reliability of your trades.
Market Context:
Understand the broader market sentiment towards memecoins. This indicator works best in bearish or highly volatile scenarios. Keep an eye on news and social media trends that could affect memecoin prices.
Trade Sizing:
Due to the speculative nature of memecoins, consider smaller position sizes to manage potential losses. Even with only two consecutive signals, losses can accumulate quickly in volatile markets.
Exit Strategy:
Beyond taking profit on signals, consider setting a trailing stop loss or using a time-based exit strategy if the market doesn't move as expected after your entry.
Alert Utilization:
Set up alerts for both SHORT and Take Profit signals to monitor opportunities without needing constant chart watching.
Remember, trading meme coins involves high risk due to their speculative nature and susceptibility to manipulation. Always trade with what you can afford to lose and use this indicator as part of a broader trading strategy.
Note: This indicator simulates sentiment based on price action; for real sentiment analysis, external data integration would be necessary, which is beyond the scope of Pine Script in TradingView.
Donchian Breakout StrategyOverview
The Donchian Breakout Strategy is a trend-following system that identifies potential long trade opportunities based on price breakouts from a specified range (Donchian Channel). This script enhances the traditional Donchian breakout strategy by adding an optional volume filter and integrating the Supertrend indicator for additional confirmation.
This indicator is particularly effective on daily or weekly charts of indices like Nifty and BankNifty, but it can also be used on other instruments with strong trending characteristics.
Key Features
Donchian Channel:
Calculates the highest high and lowest low over a user-defined period.
Provides visual cues for price breakouts (upper band) and breakdowns (lower band).
Optional Volume Filter:
Filters buy signals by requiring volume to exceed its 20-period moving average (enabled/disabled via a toggle).
Supertrend Indicator:
Confirms the trend direction.
Plots a green line for bullish trends and a red line for bearish trends.
Configurable Exit Options:
Multiple exit strategies, including lower Donchian band, mid-band (basis line), or Supertrend.
Trailing stop-loss option to lock in profits.
Backtest Date Range:
Specify the start and end dates for backtesting the strategy.
Inputs and Settings
1. Donchian Channel
Length: The number of bars used to calculate the highest high and lowest low (default: 21).
2. Volume Filter
Enable Volume Filter: Toggles the volume filter on or off. When enabled, long entries require the volume to exceed its 20-period moving average.
3. Supertrend
Multiplier: Adjusts the sensitivity of the Supertrend indicator (default: 1).
Length: Defines the period for the Supertrend calculation (default: 10).
4. Exit Options
Exit Option:
Option 1: Exit when the price crosses below the lower Donchian band.
Option 2: Exit when the price crosses below the mid-band (basis line).
Option 3: Exit when the price crosses below the Supertrend line.
Option 4: Use a trailing stop-loss (default percentage: 3%).
5. Backtesting Range
Start/End Date: Define the period for backtesting trades. Entries and exits will only occur within this range.
How to Use
Step 1: Add the Indicator
Apply this script to your TradingView chart.
Use it on instruments with strong trending characteristics, such as indices or trending stocks.
Step 2: Configure Inputs
Adjust the Donchian length based on your preferred timeframe and market conditions (e.g., 21 for daily, 52 for weekly charts).
Toggle the volume filter to filter false signals during low-volume periods.
Customize the Supertrend multiplier and length to align with your risk tolerance.
Step 3: Interpret Signals
Long Entry:
Triggered when the price closes above the upper Donchian band.
(Optional) Volume must exceed its 20-period moving average if the filter is enabled.
Exit:
Select an exit strategy that matches your trading style:
Trend-following: Use the Supertrend line.
Range-bound: Use the lower Donchian band or mid-band.
Example Usage Scenarios
Trending Markets:
Apply on indices like Nifty or BankNifty with daily/weekly timeframes.
Enable the volume filter to confirm strong breakouts.
Use the Supertrend for trend direction and trailing stops.
Swing Trading:
Use shorter Donchian lengths (e.g., 10) to capture smaller price movements.
Disable the volume filter for highly liquid instruments.
Best Practices
Combine with higher timeframes (e.g., weekly chart) for trend confirmation.
Use the Supertrend indicator to stay in trades during trending markets.
Backtest with various settings to identify optimal parameters for your preferred instruments.
Warnings
This strategy works best in trending markets; performance may degrade in choppy or range-bound conditions.
The volume filter might reduce the number of signals, which could limit opportunities in low-volume instruments.
Always combine this indicator with proper risk management practices.
Visualization
Donchian Channel:
Upper band: Represents breakout levels.
Lower band: Represents breakdown levels.
Mid-band (orange): Average of the upper and lower bands.
Supertrend:
Green line: Bullish trend.
Red line: Bearish trend.
Volume Filter:
Ensure volume exceeds the 20-period moving average for valid long entries (when enabled).
ILD inverse liquidity Divergence StrategyDetermine Bias (Bullish):
H4 chart shows an uptrend with higher highs and higher lows.
Identify a swing high where resting liquidity (buy-side) is likely above.
Look for SMT Divergence (Lower Timeframes):
On M15, EUR/USD makes a higher high while GBP/USD fails to, signaling potential manipulation.
Spot an Inverse Fair Value Gap (IFVG):
Price has impulsively moved up, leaving a fair value gap below.
Wait for a Retracement (Entry):
Price retraces into the IFVG near a Fibonacci 61.8% retracement level.
Enter long here with a SL below the gap.
Set Risk-to-Reward:
SL = 10 pips below the entry.
TP = 20 pips above (1:2 R:R), targeting a resting liquidity zone above a recent swing high.
Monitor and Exit:
Price moves into the liquidity zone, hits TP, and completes the trade.
One Shot One Kill ICT [TradingFinder] Liquidity MMXM + CISD OTE🔵 Introduction
The One Shot One Kill trading setup is one of the most advanced methods in the field of Smart Money Concept (SMC) and ICT. Designed with a focus on concepts such as Liquidity Hunt, Discount Market, and Premium Market, this strategy emphasizes precise Price Action analysis and market structure shifts. It enables traders to identify key entry and exit points using a structured Trading Model.
The core process of this setup begins with a Liquidity Hunt. Initially, the price targets areas like the Previous Day High and Previous Day Low to absorb liquidity. Once the Change in State of Delivery(CISD)is broken, the market structure shifts, signaling readiness for trade entry. At this stage, Fibonacci retracement levels are drawn, and the trader enters a position as the price retraces to the 0.618 Fibonacci level.
Part of the Smart Money approach, this setup combines liquidity analysis with technical tools, creating an opportunity for traders to enter high-accuracy trades. By following this setup, traders can identify critical market moves and capitalize on reversal points effectively.
Bullish :
Bearish :
🔵 How to Use
The One Shot One Kill setup is a structured and advanced trading strategy based on Liquidity Hunt, Fibonacci retracement, and market structure shifts (CISD). With a focus on precise Price Action analysis, this setup helps traders identify key market movements and plan optimal trade entries and exits. It operates in two scenarios: Bullish and Bearish, each with distinct steps.
🟣 Bullish One Shot One Kill
In the Bullish scenario, the process starts with the price moving toward the Previous Day Low, where liquidity is absorbed. At this stage, retail sellers are trapped as they enter short trades at lower levels. Following this, the market reverses upward and breaks the CISD, signaling a shift in market structure toward bullishness.
Once this shift is identified, traders draw Fibonacci levels from the lowest point to the highest point of the move. When the price retraces to the 0.618 Fibonacci level, conditions for a buy position are met. The target for this trade is typically the Previous Day High or other significant liquidity zones where major buyers are positioned, offering a high probability of price reversal.
🟣 Bearish One Shot One Kill
In the Bearish scenario, the price initially moves toward the Previous Day High to absorb liquidity. Retail buyers are trapped as they enter long trades near the highs. After the liquidity hunt, the market reverses downward, breaking the CISD, which signals a bearish shift in market structure. Following this confirmation, Fibonacci levels are drawn from the highest point to the lowest point of the move.
When the price retraces to the 0.618 Fibonacci level, a sell position is initiated. The target for this trade is usually the Previous Day Low or other key liquidity zones where major sellers are active.
This setup provides a precise and logical framework for traders to identify market movements and enter trades at critical reversal points.
🔵 Settings
🟣 CISD Logical settings
Bar Back Check : Determining the return of candles to identify the CISD level.
CISD Level Validity : CISD level validity period based on the number of candles.
🟣 LIQUIDITY Logical settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
🟣 CISD Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🟣 LIQUIDITY Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🔵 Conclusion
The One Shot One Kill setup is one of the most effective and well-structured trading strategies for identifying and capitalizing on key market movements. By incorporating concepts such as Liquidity Hunt, CISD, and Fibonacci retracement, this setup allows traders to enter trades with high precision at optimal points.
The strategy emphasizes detailed Price Action analysis and the identification of Smart Money behavior, helping traders to execute successful trades against the general market trend.
With a focus on identifying liquidity in the Previous Day High and Low and aligning it with Fibonacci retracement levels, this setup provides a robust framework for entering both bullish and bearish trades.
The combination of liquidity analysis and Fibonacci retracement at the 0.618 level enables traders to minimize risk and exploit major market moves effectively.
Ultimately, success with the One Shot One Kill setup requires practice, patience, and strict adherence to its rules. By mastering its concepts and focusing on high-probability setups, traders can enhance their decision-making skills and build a sustainable and professional trading approach.
Follow Through Day (FTD) + Sweep [TrendX_]The Follow Through Day (FTD) + Sweep indicator is a Trend-following tool mixing William O'Neil's original FTD concept and Liquidity concept. This indicator helps you identify potential subsequent bullish trends with greater precision by combining volume analysis, price action, and liquidity concepts.
💎 FEATURES
Follow Through Day Candle (FTD Candle)
The FTD, pioneered by William O'Neil, serves as a reliable signal for identifying the beginning of new bull markets. It's particularly valuable because it combines multiple market factors - price action, volume, and timing - to confirm genuine market reversals rather than temporary bounces.
The power of the FTD lies in its ability to distinguish between ordinary market fluctuations and significant trend changes. By requiring specific criteria to be met across multiple sessions, it helps filter out false signals and identifies high-probability reversal points where institutional investors are likely beginning to accumulate positions.
Sweep Area
The Sweep area feature enhances the traditional FTD concept by incorporating modern liquidity analysis. This overlay identifies zones where large market participants are likely to trigger stop losses before continuing the trend. These areas often represent optimal entry points for traders looking to join the new uptrend with reduced risk.
🔎 BREAKDOWN
FTD Candle
The FTD formation process occurs in two distinct phases: Setup and Completion.
Setup Phase
Strong Market Decline
The market must first experience a significant downtrend
This selling pressure helps clear out weak hands and creates oversold conditions
The decline creates the potential energy for a powerful reversal
First Recovery Session
Marks the initial sign of buying pressure emerging
Often characterized by a strong reversal candle
Represents the first indication that selling pressure may be exhausting
Recovery Confirmation
The second and third days must maintain prices above the new pivot low
This consolidation period helps confirm the validity of the initial bounce
Shows that sellers are no longer in control of price action
Completion Phase:
Supply Test Session
Low volume indicates diminishing selling pressure
Price remains above the pivot low
Creates the foundation for institutional buyers to begin accumulating
Breakout Day
Price increase exceeds average profit of bullish candles
Volume increases by at least 15% compared to previous session
Shows strong institutional commitment to the new uptrend
Timing Window
Must occur between the 4th and 8th candle after First Recovery Session
This specific timing helps confirm the sustainability of the reversal
Based on O'Neil's research of historical market bottoms
FTD Sweep
The Post-FTD Phase introduces the Sweep concept, which is crucial for understanding how large market participants operate. This feature leverages the liquidity concept because institutional traders often need to trigger stop losses to accumulate larger positions at better prices. This helps:
Create liquidity pools for large position entries
Shake out weak hands before continuing the trend
Test the strength of the new trend by absorbing selling pressure
⚙️ USAGE
Sweep + TP & SL Strategy
Example: BTCUSDT (1D) - Replay back to 9th November 2024
After an FTD candle forms, traders can adopt a systematic approach to enhance their trading strategy. First, they should determine the swing range and convert the post-FTD zone into concrete stop loss and take profit levels, which are based on the price action during the FTD formation. Next, traders should wait for a sweep formation, as this indicates that institutional players are accumulating positions. A quick price rejection from the sweep level should be observed before executing an entry.
The reasoning behind this strategy is rooted in market microstructure. By waiting for the sweep, traders position themselves alongside institutional players who need to build large positions without causing adverse price movement. The sweep creates the liquidity they need, and the subsequent move often represents the true trend continuation.
DISCLAIMER
This indicator is not financial advice, it can only help traders make better decisions. There are many factors and uncertainties that can affect the outcome of any endeavor, and no one can guarantee or predict with certainty what will occur. Therefore, one should always exercise caution and judgment when making decisions based on past performance.
DIN: Dynamic Trend NavigatorDIN: Dynamic Trend Navigator
Overview
The Dynamic Trend Navigator script is designed to help traders identify and capitalize on market trends using a combination of Weighted Moving Averages (WMA), Volume Weighted Average Price (VWAP), and Anchored VWAP (AVWAP). The script provides customizable settings and flexible alerts for various crossover conditions, enhancing its utility for different trading strategies.
Key Features
- **1st and 2nd WMA**: Allows users to set and visualize two Weighted Moving Averages. These can be customized to any period, providing flexibility in trend identification.
- **VWAP and AVWAP**: Incorporates both VWAP and AVWAP, offering insights into price levels adjusted by volume.
- **ATR and ADX Indicators**: Includes the Average True Range (ATR) and Average Directional Index (ADX) to help assess market volatility and trend strength.
- **Flexible Alerts**: Configurable buy and sell alerts for any crossover condition, making it versatile for various trading strategies.
How to Use the Script
1. **Set the WMA Periods**: Customize the periods for the 1st and 2nd WMAs to suit your trading strategy.
2. **Enable VWAP and AVWAP**: Choose whether to include VWAP and AVWAP in your analysis by enabling the respective settings.
3. **Configure Alerts**: Set up alerts for the desired crossover conditions (WMA, VWAP, AVWAP) to receive notifications for potential trading opportunities.
4. **Monitor Signals**: Watch for buy and sell signals indicated by triangle shapes on the chart, which appear at the selected crossover points.
When to Use
- **Best Time to Use**: The script is most effective in trending markets where price movements are well-defined. It helps traders stay on the right side of the trend and avoid false signals during periods of low volatility.
- **When Not to Use**: Avoid using the script in choppy or sideways markets where price action lacks direction. The script may generate false signals in such conditions, leading to potential losses.
Benefits of VWAP and AVWAP
- **VWAP**: The Volume Weighted Average Price provides a price benchmark that adjusts for volume, helping traders identify fair value levels. It is particularly useful for intraday trading and gauging market sentiment.
- **AVWAP**: The Anchored VWAP allows traders to set a starting point for VWAP calculations, providing flexibility in analyzing price levels over specific periods or events. This helps in identifying key support and resistance levels based on volume.
Unique Aspects
- **Customizability**: The script offers extensive customization options for WMA periods, VWAP, AVWAP, and alert conditions, making it adaptable to various trading strategies.
- **Combining Indicators**: By integrating WMAs, VWAP, AVWAP, ATR, and ADX, the script provides a comprehensive view of market conditions, enhancing decision-making.
- **Real-Time Alerts**: The flexible alert system ensures traders receive timely notifications for potential trade setups, improving responsiveness to market changes.
Examples
- **Example 1**: A trader sets the 1st WMA to 8 and the 2nd WMA to 100, enabling the VWAP. When the 1st WMA crosses above the 2nd WMA or VWAP, a buy signal is triggered, indicating a potential long entry.
- **Example 2**: A trader sets the AVWAP to start 30 bars ago and monitors for crossovers with the 1st WMA. When the 1st WMA crosses below the AVWAP, a sell signal is triggered, suggesting a potential short entry.
Final Notes
The Dynamic Trend Navigator script is a powerful tool for traders looking to enhance their market analysis and trading decisions. Its unique combination of customizable indicators and flexible alert system sets it apart from other scripts, making it a valuable addition to any trader's toolkit.
Disclaimer: Never any financial advice. Just ThisGirl loving experimenting with indicators to help myself, as well as others.
EMA RSI Trend Reversal Ver.1Overview:
The EMA RSI Trend Reversal indicator combines the power of two well-known technical indicators—Exponential Moving Averages (EMAs) and the Relative Strength Index (RSI)—to identify potential trend reversal points in the market. The strategy looks for key crossovers between the fast and slow EMAs, and uses the RSI to confirm the strength of the trend. This combination helps to avoid false signals during sideways market conditions.
How It Works:
Buy Signal:
The Fast EMA (9) crosses above the Slow EMA (21), indicating a potential shift from a downtrend to an uptrend.
The RSI is above 50, confirming strong bullish momentum.
Visual Signal: A green arrow below the price bar and a Buy label are plotted on the chart.
Sell Signal:
The Fast EMA (9) crosses below the Slow EMA (21), indicating a potential shift from an uptrend to a downtrend.
The RSI is below 50, confirming weak or bearish momentum.
Visual Signal: A red arrow above the price bar and a Sell label are plotted on the chart.
Key Features:
EMA Crossovers: The Fast EMA crossing above the Slow EMA signals potential buying opportunities, while the Fast EMA crossing below the Slow EMA signals potential selling opportunities.
RSI Confirmation: The RSI helps confirm trend strength—values above 50 indicate bullish momentum, while values below 50 indicate bearish momentum.
Visual Cues: The strategy uses green arrows and red arrows along with Buy and Sell labels for clear visual signals of when to enter or exit trades.
Signal Interpretation:
Green Arrow / Buy Label: The Fast EMA (9) has crossed above the Slow EMA (21), and the RSI is above 50. This is a signal to buy or enter a long position.
Red Arrow / Sell Label: The Fast EMA (9) has crossed below the Slow EMA (21), and the RSI is below 50. This is a signal to sell or exit the long position.
Strategy Settings:
Fast EMA Length: Set to 9 (this determines how sensitive the fast EMA is to recent price movements).
Slow EMA Length: Set to 21 (this smooths out price movements to identify the broader trend).
RSI Length: Set to 14 (default setting to track momentum strength).
RSI Level: Set to 50 (used to confirm the strength of the trend—above 50 for buy signals, below 50 for sell signals).
Risk Management (Optional):
Use take profit and stop loss based on your preferred risk-to-reward ratio. For example, you can set a 2:1 risk-to-reward ratio (2x take profit for every 1x stop loss).
Backtesting and Optimization:
Backtest the strategy on TradingView by opening the Strategy Tester tab. This will allow you to see how the strategy would have performed on historical data.
Optimization: Adjust the EMA lengths, RSI period, and risk-to-reward settings based on your asset and time frame.
Limitations:
False Signals in Sideways Markets: Like any trend-following strategy, this indicator may generate false signals during periods of low volatility or sideways movement.
Not Suitable for All Market Conditions: This indicator performs best in trending markets. It may underperform in choppy or range-bound markets.
Strategy Example:
XRP/USD Example:
If you're trading XRP/USD and the Fast EMA (9) crosses above the Slow EMA (21), while the RSI is above 50, the indicator will signal a Buy.
Conversely, if the Fast EMA (9) crosses below the Slow EMA (21), and the RSI is below 50, the indicator will signal a Sell.
Bitcoin (BTC/USD):
On the BTC/USD chart, when the indicator shows a green arrow and a Buy label, it’s signaling a potential long entry. Similarly, a red arrow and Sell label indicate a short entry or exit from a previous long position.
Summary:
The EMA RSI Trend Reversal Indicator helps traders identify potential trend reversals with clear buy and sell signals based on the EMA crossovers and RSI confirmations. By using green arrows and red arrows, along with Buy and Sell labels, this strategy offers easy-to-understand visual signals for entering and exiting trades. Combine this with effective risk management and backtesting to optimize your trading performance.
Enigma Liquidity Concept
Enigma Liquidity Concept
Empowering Traders with Multi-Timeframe Analysis and Dynamic Fibonacci Insights
Overview
The Enigma Liquidity Concept is an advanced indicator designed to bridge multi-timeframe price action with Fibonacci retracements. It provides traders with high-probability buy and sell signals by combining higher time frame market direction and lower time frame precision entries. Whether you're a scalper, day trader, or swing trader, this tool offers actionable insights to refine your entries and exits.
What Makes It Unique?
Multi-Timeframe Signal Synchronization:
Higher time frame bullish or bearish engulfing patterns are used to define the directional bias.
Lower time frame retracements are analyzed for potential entry opportunities.
Dynamic Fibonacci Layouts:
Automatically plots Fibonacci retracement levels for the most recent higher time frame signal.
Ensures a clean chart by avoiding clutter from historical signals.
Actionable Buy and Sell Signals:
Sell Signal: When the higher time frame is bearish and the price on the lower time frame retraces above the 50% Fibonacci level before forming a bearish candle.
Buy Signal: When the higher time frame is bullish and the price on the lower time frame retraces below the 50% Fibonacci level before forming a bullish candle.
Customizable Fibonacci Visuals:
Full control over Fibonacci levels, line styles, and background shading to tailor the chart to your preferences.
Integrated Alerts:
Real-time alerts for buy and sell signals on the lower time frame.
Alerts for bullish and bearish signals on the higher time frame.
How It Works
Higher Time Frame Analysis:
The indicator identifies bullish and bearish engulfing patterns to detect key reversals or continuation points.
Fibonacci retracement levels are calculated and plotted dynamically for the most recent signal:
Bullish Signal: 100% starts at the low, 0% at the high.
Bearish Signal: 100% starts at the high, 0% at the low.
Lower Time Frame Execution:
Monitors retracements relative to the higher time frame Fibonacci levels.
Provides visual and alert-based buy/sell signals when conditions align for a high-probability entry.
How to Use It
Setup:
Select your higher and lower time frames in the settings.
Customize Fibonacci levels, line styles, and background visuals for clarity.
Trade Execution:
Use the higher time frame signals to determine directional bias.
Watch for actionable buy/sell signals on the lower time frame:
Enter short trades on red triangle sell signals.
Enter long trades on green triangle buy signals.
Alerts:
Enable alerts for real-time notifications of buy/sell signals on lower time frames and higher time frame directional changes.
Concepts Underlying the Calculations
Engulfing Patterns: Represent key reversals or continuations in price action, making them reliable for defining directional bias on higher time frames.
Fibonacci Retracements: Fibonacci levels are used to identify critical zones for potential price reactions during retracements.
Multi-Timeframe Analysis: Combines the strength of higher time frame trends with the precision of lower time frame signals to enhance trades.
Important Notes
This indicator is best used in conjunction with your existing trading strategy and risk management plan.
It does not repaint signals and ensures clarity by displaying Fibonacci levels only for the most recent signal.
Ideal For:
Swing traders, day traders, and scalpers looking to optimize entries and exits with Fibonacci retracements.
Traders who prefer clean charts with actionable insights and customizable visuals.