Candle checker for long/short for scalping/day tradingHey.
This strategy is still in working.
For it I check a x amount of candles in the past if they been for example all red/green in row, and based on that I enter. For example candle 7 < candle 6 .... candle 3 < candle 2 .... candle 1 < candle current for long and viceversa for short.
After that,once the trade is initiated, I exit based on 2 possibilities : candle color is different than the color of candle when entry, or based tp/sl.
Let me know what you think of it.
I will try to make the process to calculate automatically and input the number of candles to check like 5-10-15 and so on.
"Candlestick" için komut dosyalarını ara
Crypto TS - Ultimate BTCUSDThis is an "advanced" trend follower Trading system, specifically developed for Bitcoin.
In this project the strategy combines two time frames, daily and 4h bars.
Bitcoin's trend is analyzed in background with Normal candlestick and Heikin-Ashi candlestick.
The operations start from the first trading day (01/01/2017) but you can change this by the following input variables:
From Month
From Day
From Year
First trading day: 01/01/2017
Initial Capital: 1000 $
net profit: 1254 %
To use this Trading system open the BTCUSD 4h Bitfinex chart and apply this strategy.
This Trading system can be fully automated to buy and sell automatically on major exchanges.
[blackcat] L5 Price Positioning Index StrategyLevel: 5
Background
Are you tired of traditional Japanese candlesticks? Do you want to try a new type of candle master chart? This is my private L5 version, which introduces "Market Season Bands" for oversold and overbought status, historical resistance and support arrows in dynamic forms, inherent pyramiding for buy and sell.
Function
L3 Price Positioning Index is totally brand-new candle chart invented by myself. This main chart can provide effective resistance and support levels, and you can see where the price is running at any time. There are 3 key color bands. Blue-Green gredient band is used to indicate oversold support or breakthrough support levels; the color is blue means extreme oversold, green means oversold you can ignore. This band indicates the season of market entering "Winter". The Green-Orange band indicates the midline position where prices may pause; the green color here means bear middle while orange color here means bull middle. Accordingly, middle band color indicates market season entering "Spring or Autumn" . Finally, Pink-Red band indicates overbought resistance or breakthrough resistance levels; the pink color means market season is NOT bullish while the red color indicates it is a good market season to long. top band color indicates the market season entering "Summer". Enjoy your "Summer" with profit!
There are two types of candlestick charts.
The first type candles are mid-to-long-term trend candles, navy represents an uptrend and the length of the candle represents a change in intensity; maroon represents a downward trend and the length of the candle represents a change in intensity. You can find principle in L5 Price Positioning Index code. In L5 version, to simplif the visual effect, the display is hidden. This trend candle is the effective support and resistance level of the second type short-term swing candle.
The second type candles are short-term candles fluctuate around the first medium- and long-term trend candles. The second short-term candle is divided into five colors: green means pump; red means retracement in the ascending process; blue and yellow means bearish rebounce and trend reversal signal; white means dump; blue means price rebound in the descending process. I describe these in raindrop or snow-drop form, which can be quite familar for you to imagine the temperature of the market :).
Key Signal
THREE KEY LINES:
htop --> Pink-Red band, "Market in Summer", overbought resistance or pump breakout threshold
hmid --> Green-Orange band, "Market in Spring or Autumn", price pause zone, sideways may happen here
hbot --> Blue-Green gredient band, "Market in Winter", oversold support or dump breakout threshold
MID-LONG TERM CANDLES:
colorful trend line , it is an important support or resistance for short term price movements and the bull-bear boundary for market seasons.
SHORT TERM CANDLES:
1. bear rebounance --> rebounce in down trend candle with blue color
2. pump --> up trend pump candle with green color
3. trend reversal --> trend reversal candle with yellow color
4. dump --> bearish dump candle with white color
5. bull retracement --> retracement in up trend candle with red
Pros and Cons
Pros:
1. Long term trend identification by three lines for overbought, oversold and breakouts
2. Mid term trend support and resistance with a colorful boundary
3. Short term price behaviors are classified into 5 types of candles in blue, green, yellow, red and white
Cons:
I invent this to solve traditional JP candlestick shortcomings. If you find anything on Cons, just feedback to me for improvements.
Remarks
1. This is the strategy version of L5 Price Positioning Index
2. Closed-source, Invite-only, NOT free. (Free version is available by search "L3 Price Positioning Index")
3. Highl recommended to use this indicator for >= 4H timeframe, which means this is powerful for swing trading.
4. IMPORTANT!!! To have superior visual effect, you need to enter "Chart Setting" --> "Symbol" --> TURN OFF "Body", "Borders" and "Wick" of traditional JP candles.
Subscription
Permission will be automatically granted for who subscribed " L5 Price Positioning Index for Market Seasons"
hammerCandle & starCandleIn this scrip we have combine Pinbar Candlesticks calculated using Fibonacci, the bullish hammer candlestick and bearish star candlestick with EMAs and ATR.
I have used 12 Hour time frame which works well EUR/USD, this script works well on higher time frames such as Daily, 12 hours etc.
I have used 1.5 times the ATR as the stop loss and 1 times the ATR as the take profit as these risk to reward ratio gives us the best results for the 12 hour time frame for EUR/USD. Past result are not a prove of performance of the future.
I have added 1 for slippage and 1 for commission.
This script contains AutoView syntax and is fully automated if you connect TradingView to AutoView and a broker, prefebly Oanda.
This script uses two exponential moving averages for trend detection and Average True Range , ATR for stop loss and take profit targets. All of these setting are adjustable.
We only trade with the trend if the 50 period exponential moving averages is above the 200 period exponential moving averages, if a hammer candle is formed for entry.
Likewise with sell trade if a star candle is formed for entry and if the 50 period exponential moving averages is below the 200 period exponential moving averages.
This script does not trail your stop loss as I have noticed it does not give me good results. Stop loss is a fix stop loss based on Average True Range and so is the profit target.
This script has risk management, it risk a certain percent of the inputted capital amount in the setting. See settings for more details.
Note: Due to auto risk management this script only works on Forex.
Green line is 50 period exponential moving averages and red line is the the 200 period exponential moving average . Blue line is stop loss for long trade and black line stop loss for short trade.
Please trade at your own risk, all the setting in the script are adjustable for you to test before trading.
Many Thanks,
Honet Trader
SeaSide420 StrategyThis Strategy by SeaSide420 uses IchiMoku, Engulfing candles and 3 moving averages to find entry to buy and sell orders. It will hold buys and sells at the same time, it will close orders by StopLoss, or Trailing StopLoss or Target Profit. In the example chart here, only the trailing stop is active. It does have commission already included in this result. The initial test equity is set to 1 (1 BTC) so if you use this on say, a FOREX pair, you might want to check your settings, for example, set the initial equity to 100,000 USD as it normally is. I set this to 1 BTC to show that Holding 1 BTC for 2 years would not be as profitable as trading 1 BTC with this strategy for 2 years. The commission level is the same as Binance (0.1%), and the example pair is a Binance instrument, where Bitcoin trades can be in and out this way (CFD). Here it is shown on Daily chart, and with other timeframes/pairs, you may need to adjust the settings (MA period etc). New settings are achieved by you testing them yourself. This is published as an experimental script for use through API to do Automated trading on crypto exchanges. Questions welcome. Strategy free to use, Script private (PM me about it) I have not tested the alerts, but i did include alerts when open and close orders. Let me know if it works or not.
Flux Charts - SFX Automation💎 GENERAL OVERVIEW
The SFX Automation is a powerful and versatile tool designed to help traders rigorously test their trading strategies against historical market data. With various advanced settings, traders can fine-tune their strategies, assess performance, and identify key improvements before deploying in live trading environments. This tool offers a wide range of configurable settings, explained within this write-up.
Features of the new SFX Automation :
Step By Step : Configure your strategy step by step, which will allow you to have OR & AND logic in your strategies.
Highly Configurable : Offers multiple parameters for fine-tuning trade entry and exit conditions.
Multi-Timeframe Analysis : Allows traders to analyze multiple timeframes simultaneously for enhanced accuracy.
Provides advanced stop-loss, take-profit, and break-even settings.
Incorporates Buy & Sell signals, with settings like Signal Sensitivity, Strength, Time Weighting, Dynamic TP & SL Methods and more for refined strategy execution.
🚩 UNIQUENESS
The SFX Automation stands out from conventional backtesting tools due to its unparalleled flexibility, precision, and advanced trading logic integration. Key factors that make it unique include:
✅ Comprehensive Strategy Customization – Unlike traditional backtesters that offer basic entry and exit conditions, SFX Automation provides a highly detailed parameter set, allowing traders to fine-tune their strategies with precision.
✅ Multi-Timeframe Signals – This is the first-ever tool that allows traders to backtest Buy & Sell Signals on multiple timeframes.
✅ Customizable Take-Profit Conditions – Offers various methods to set take-profit exits, including using core features from SFX Algo, and dynamic exits like signal rating upgrades/downgrades, enabling traders to tailor their exit strategies to specific market behaviors.
✅ Customizable Stop-Loss Conditions – Provides several ways to set up stop losses, including using concepts from SFX Algo and trailing stops or dynamic exits like signal rating upgrades/downgrades, allowing for dynamic risk management tailored to individual strategies.
✅ Integration of External Indicators – Allows the inclusion of other indicators or data sources from TradingView for creating strategy conditions, enabling traders to enhance their strategies with additional insights and data points.
By integrating these advanced features, SFX Automation ensures that traders can rigorously test and optimize their strategies with great accuracy and efficiency.
📌 HOW DOES IT WORK ?
The first setting you will want to set it the pyramiding setting. This setting controls the number of simultaneous trades in the same direction allowed in the strategy. For example, if you set it to 1, only one trade can be active in any time, and the second trade will not be entered unless the first one is exited. If it is set to 2, the script will handle both of them at the same time. Note that you should enter the same value to this pyramiding setting, and the pyramiding setting in the "Properties" tab of the script for this to work.
You can enable and set a backtesting window that will limit the entries to between the start date & end date.
Entry Conditions
From the "Long Conditions" or the "Short Conditions" groups, you can set your position entry conditions. For settings like "initial capital" or "order size", you can open the "Properties" tab, where these are handled.
The SFX Algo can use the following conditions for entry conditions :
1. Buy Signal (Any, or 1-5 ☆)
This condition is triggered when a Buy Signal occurs. Other timeframes are supported with this condition.
2. Buy | TP (1, 2 or 3)
This condition is triggered when a TP signal of any Buy signal occurs.
3. Buy | SL
This condition is triggered when a SL signal of any Buy signal occurs.
4. Buy | Rating Upgrade
This condition is triggered when the rating of a buy signal is increased.
5. Buy | Rating Downgrade
This condition is triggered when the rating of a buy signal is decreased.
6. Sell Signal (Any, or 1-5 ☆)
This condition is triggered when a Sell Signal occurs. Other timeframes are supported with this condition.
7. Sell | TP (1, 2 or 3)
This condition is triggered when a TP signal of any Sell signal occurs.
8. Sell | SL
This condition is triggered when a SL signal of any Sell signal occurs.
9. Sell | Rating Upgrade
This condition is triggered when the rating of a sell signal is increased.
10. Sell | Rating Downgrade
This condition is triggered when the rating of a sell signal is decreased.
11. Retracement Wave Retest (Bullish or Bearish)
A retest on the Retracement Wave occurs when the price temporarily moves against the prevailing trend, touching or entering the wave before continuing in the original trend direction. This retest serves as a confirmation that the wave is acting as dynamic support or resistance.
12. Retracement Wave Retracement (Bullish or Bearish)
A retracement on the Retracement Wave occurs when the price touches the wave, the condition is triggered immediately.
13. Volatility Bands Retest (Bullish or Bearish)
A retest of Volatility Bands occurs when the price initially moves beyond the bands, then pulls back to "retest" the band it just broke through before continuing its move. This can provide traders with confirmation of a breakout or signal a potential reversal.
14. Volatility Bands Retracement (Bullish or Bearish)
A retracement on the Volatility Bands occur when the price touches the band, the condition is triggered immediately.
🕒 TIMEFRAME CONDITIONS
The SFX Automation supports Multi-Timeframe (MTF) features for Buy & Sell signals. When setting an entry condition, you can also choose the timeframe.
External Conditions
Users can use external indicators on the chart to set entry conditions.
The second dropdown in the external condition settings allows you to choose a conditional operator to compare external outputs. Available options include:
Less Than or Equal To: <=
Less Than: <
Equal To: =
Greater Than: >
Greater Than or Equal To: >=
The position entry conditions work like this ;
Each side has 3 SFX Algo conditions and 2 Source conditions. Each condition can be enabled or disabled using the checkbox on the left side of them.
You can select which timeframe this condition should work on for Buy & Sell signals. If you select "Chart", the condition will work for the chart's current timeframe.
Lastly select the step of this condition from 1 to 6.
The Source Condition
The last condition on each side is a source condition that is different from the others. Using this condition, you can create your own logic using other indicators' outputs on your chart. For example, suppose that you have an EMA indicator in your chart. You can have the source condition to something like "EMA > high".
The Step System
Each condition has a step number, and conditions are in topological order based on them.
The conditions are executed step by step. This means the condition with step 2 cannot be executed before the condition with step 1 is executed.
Conditions with the same step numbers have "OR" logic. This means that if you have 2 conditions with step 3, the condition with step 4 can trigger after only one of the step 3 conditions is executed.
➕ OTHER ENTRY FEATURES
The SFX Automation allows traders to choose when to execute trades and when not to execute trades.
1. Only Take Trades
This setting lets users specify the time period when their strategy can open or execute trades.
2. Don't Take Trades
This setting lets users specify time periods when their strategy can't open or execute trades.
↩️ EXIT CONDITIONS
1. Exit on Opposite Signal
When enabled, a long position will close when short entry conditions are met, and a short position will close when long entry conditions are met.
2. Exit on Session End
When enabled, positions will be closed at the end of the trading session.
📈 TAKE PROFIT CONDITIONS
There are several methods available for setting take profit exits and conditions.
1. Entry Condition TP
Users can use entry conditions as triggers for take profit exits. This setting can be found under the long and short exit conditions.
2. Fixed TP
Users can set a fixed TP for exits. This setting can be found under the long and short exit conditions. Users can choose between the following:
Price: This method triggers a TP exit when price reaches a specified level. For example, if you set the Price TP to 10 and buy NASDAQ:TSLA at $190, the trade will automatically exit when the price reaches $200 ($190 + $10).
Ticks: This method triggers a TP exit when price moves a specified number of ticks.
Percentage (%): This method triggers a TP exit when price moves a specified percentage.
ATR: This method triggers a TP exit based on a specified multiple of the Average True Range (ATR).
🧩EXIT PERCENTAGES
For each 3 dynamic take-profit conditions, you can set the amount of the position to exit in terms of percentage. It's important to make sure that the total of the exit percentages are 100%.
📉 STOP LOSS CONDITIONS
There are several methods available for setting stop-loss exits and conditions.
1. Entry Condition SL
Users can use entry conditions as triggers for stop-loss exits. This setting can be found under the long and short exit conditions.
2. Fixed SL
Users can set a fixed SL for exits. This setting can be found under the long and short exit conditions. Users can choose between the following:
Price: This method triggers a SL exit when price reaches a specified level. For example, if you set the Price SL to 10 and buy NASDAQ:TSLA at $200, the trade will automatically exit when the price reaches $190 ($200 - $10).
Ticks: This method triggers a SL exit when price moves a specified number of ticks.
Percentage (%): This method triggers a SL exit when price moves a specified percentage.
ATR: This method triggers a SL exit based on a specified multiple of the Average True Range (ATR).
3. Trailing Stop
An explanation & example for the trailing stop feature is present on the write-up within the next section.
Exit conditions have the same logic of constructing conditions like the entry ones. You can construct a Take-Profit Condition & a Stop-Loss Condition. Note that the Take-Profit condition will only work if the position is in profit, regardless of if it's triggered or not. The same applies for the Stop-Loss condition, meaning that it will only work if the position is in loss.
You can also set a Fixed TP & Fixed SL based on the price movement after the position is entered. You have options like "Price", "Ticks", "%", or "Average True Range". For example, you can set a Fixed TP like "5%", and the position will be entered once it moves 5% up in a long position.
Trailing Stop
For the Fixed SL, you also have a "Trailing" stop option, which you can set it's activation level as well. The Trailing stop activation level and it's value are expressed in ticks. Check this scenerio for an example :
We have a ticker with a tick value of $1. Our Trailing Stop is set to 10 ticks, and the activation level is set to 30 ticks.
We buy 1 contract when the price is $100.
When the price becomes $110, we are in $10 (10 ticks) profit and the trailing stop is now activated.
The current price our stop's on is $110 - $30 (30 ticks), which is the level of $80.
The trailing stop will only move if the price moves up the highest high the price has been after we entered the position.
Let's suppose that price moves up $40 right after our trailing stop is activated. The price will now be $150, and our trailing stop will sit on $150 - $30 (30 ticks) = $120.
If the price is down the $120 level, our stop loss will be triggered.
There is also a "Hard SL" option designed for a backup stop-loss when trailing stops are enabled. You can enable & set this option and if the price goes down before our trailing stop even activates, the position will be exited.
You can also move stop-loss to the break-even (entry price of the position) after a certain profit is achieved using the last setting of the exit conditions. Note that for this to work, you will need to have a Fixed SL setup.
➕ OTHER EXIT FEATURES
1. Move Stop Loss to Breakeven
This setting allows the strategy to automatically move the SL to Breakeven (BE) when the position is in profit by a certain amount. Users can choose between the following:
Price: This method moves the SL to BE when price reaches a specified level.
Ticks: This method moves the SL to BE when price moves a specified number of ticks.
Percentage (%): This method moves the SL to BE when price moves a specified percentage.
ATR: This method moves the SL to BE when price moves a specified multiple of the Average True Range (ATR).
Example Entry Scenario
To give an example , check this scenario; out conditions are :
LONG CONDITIONS
Buy Signal Any☆, Step 1
Bullish R. Wave Retest, Step 2
Bullish V. Bands Retest, Step 2
open > close, Step 3
First, the strategy needs to detect a Buy Signal with any star rating in order to start working.
After it's detected, now it's looking for either a Bullish R. Wave Retest, or a Bullish V. Bands Retest to proceed to the next step, the reason for this is that they both have the same step number.
After one of them is detected, the strategy will consistently check candlesticks for the condition open > close. If a bullish candlestick occurs, a long position will be entered.
⏰ ALERTS
This indicator uses TradingView's strategy alert system. All entries and exits will be sent as an alert if configured. It's possible to further customize these alerts to your liking. For more information, check TradingView's strategy alert customization page: www.tradingview.com
⚙️ SETTINGS
1. Backtesting Settings
Pyramiding: Controls the number of simultaneous trades allowed in the strategy. This setting must have the same value that is entered on the script's properties tab on the settings pane.
Enable Custom Backtesting Period: Restricts backtesting to a specific date range.
Start & End Time Configuration: Define precise start and end dates for historical analysis.
2. Algorithm Settings
Sensitivity: The sensitivity setting is a key parameter that influences the number of signals the SFX Algo generates. By adjusting this parameter, you can control the frequency of signals produced by the algorithm.
Signal Strength: The Signal Strength setting filters signals based on their quality, allowing traders to focus on the most reliable opportunities. This feature helps traders balance the quantity and reliability of the algorithm’s signals to suit their trading strategy.
Time Weighting: The Time Weighting setting determines how the SFX Algo evaluates historical market data to generate signals.
a) Recent Trends
Focuses on the most recent movements for short-term analysis. This setting is good for scalpers and intraday traders who need to react quickly to market changes.
b) Mixed Trends
Balances recent and historical price movements for a comprehensive market view. This setting is well-suited for swing traders and those who want to capture medium-term opportunities by combining the benefits of short-term responsiveness with the reliability of long-term trends.
c) Long-term Trends
Relies on extended historical market data to identify broader market trends, making it an excellent choice for traders focused on long-term strategies.
Minimum Star Rating: The Minimum Star Rating setting allows you to filter signals based on their strength, showing only those that meet or exceed your chosen threshold. For instance, setting the minimum star rating to 3 ensures you only receive signals with a rating of 3 stars or higher.
3. Take Profit / Stop Loss Methods
Key Levels
The Key Levels method uses pivot points to set take profit and stop-loss levels. The TP and SL levels are shown when a new signal is generated.
Volatility Bands
This TP/SL method uses the Volatility Bands overlay to set dynamic TP and SL levels. These levels are not predetermined so they will not be shown in advance when a signal is generated.
Signal Rating
Sets take profit and stop-loss levels based on changes in a signal's rating strength. These levels are not predetermined so they will not be shown in advance when a signal is generated.
Auto Stop-Loss
The auto method can only be applied to the SL. The auto method allows the algorithm to detect SL automatically when a momentum shift is detected. You can adjust the risk tolerance of the Auto SL by adjusting the ‘Auto Risk Tolerance’ setting. You can choose between Low, Medium, and High. A high-risk tolerance will result in stop losses being triggered less often.
4. Entry Conditions for Long & Short Trades
Multiple Conditions (1-6): Configure up to six independent conditions per trade direction.
Timeframe Specification: Choose between timeframes for Buy & Sell signals.
Trade Execution Filters: Restrict trades within specific trading sessions.
5. Exit Conditions for Long & Short Trades
Exit on Opposite Signal: Automatically exit trades upon opposite trade conditions.
Exit on Session End: Closes all positions at the end of the trading session.
Multiple Take-Profit (TP) and Stop-Loss (SL) Configurations:
TP/SL based on % move, ATR, Ticks, or Fixed Price.
Hard SL option for additional risk control.
Move SL to BE (Break Even) after a certain profit threshold.
OnePunch Algo Momentum Indicator V1This is another Plugin from One Punch Algo Team. We call it OnePunch Algo Momentum Indicator V1.
Basic Use:
One Punch Algo Momentum Indicator plugin is used for momentum stocks and high volatility crypto. It provide signals based on Simple Moving Average, Volume, Support & Resistance Lines.
SIGNALS/ALERTS
Buy Signal: Purple Color uptrend icon gives you a signal of an up-trending movement or we call it momentum movement. This signal basically happen when a stock land in a high volatility zone. We use in-build systems such as SMA, Support and Resistance and Trends to come up with the Buy Signal.
Sell Signal: Gray Color downtrend icon gives you a signal of a downtrend movement.
Other Lines Shown in the Diagram:
Red Line is the 200 Day Simple Moving Average (SMA)
Green Line is the 50 Day Simple Moving Average (SMA)
Strategy Tester
Always make sure to use the strategy tester to test how historically our Algo has performed in different time frames. One Punch Algo Momentum Indicator provide the ability to backtest based on certain time periods. This allows you to backtest our Algo vs some other Algo to find which performed well for the given time period, you if you want to see buy and hold performance better than the use of an Algo. This is a strong tool to use for your analysis of a stock or crypto.
What are the timeframes where it is most effective?
Different Stocks or Crypto perform differently with One Punch Algo Momentum Indicator. Please make sure to backtest a stock or crypto before you use the strategy.
Short Term/Day Trading Setup
For Short Term or Day Trade: 1min, 5min, 15min & 30min candlesticks works really well.
Also 3min, 5min, 7min and 15min works as well
Mid Term Trading Setup
For Mid-term traders: 30min, 1hr,2hr, and 4hr setup works really well.
For Long Term Trading Setup
For long term traders: 4hr, 1D, 1Week and 1Month Setup works well.
Best used with Heikin Ashi or Candlestick charts.
DISCLAIMER: Stocks and options trading involves substantial RISK of LOSS and is NOT suitable for every investor. The valuation of stocks and options may fluctuate, and, as a result, clients may lose more than their original investment. If the market moves against you, you may sustain a total loss greater than the amount you deposited into your account. You are responsible for all the risks and financial resources you use and for the chosen trading system. You should not engage in trading unless you fully understand the nature of the transactions you are entering into and the extent of your exposure to loss. If you do not fully understand these risks, you must seek independent advice from your financial advisor.
All trading strategies are used at your own risk. And OnePunch ALGO Developer, Youtuber or the channel does NOT take any responsibility for your losses using any of the advice or suggestions or strategies are shown/said in any of OnePunch ALGO Youtuber or the channel videos.
Rogue Profit StrategyThis is a complex script developed to measure specific volatility parameters and enter trades based on predetermined rules which are proprietary and will not be released, so don't ask for specific strategy settings.
The strategy keeps you in the market at all times either long or short. Parameters can be changed to better suit the asset your are trading, time frame and your particular trading style but the overall volatility rules for entering and exiting remain the same. It can be used to trade any asset but be aware the parameters you use for one asset, lets say Bitcoin, will not work with another asset like Forex. If the asset is on TradingView, you can use this indicator to trade it.
It is meant to trade pure price action candlesticks so do not use anything but a typical candlestick chart. You are going to have to put in some work and play around with the input parameters to make this strategy the most profitable for your trading style. Trading is hard but hopefully this strategy will help flatten the learning curve. This strategy is accompanied by an indicator study named "Rogue Profit Alert Indicator" that will work with setting alerts for manual or automated trading.
This strategy does NOT repaint.
This is a very powerful and profitable script that will simplify your trading and has been in development and tested for three years. Message for details on how to obtain access. Please allow up to 24 hours for a response.
Bollinger and Tendencies (Bollinger e Tendências )The strategy consists of buying when the price breaks up (crossover) the bottom line of the Bollinger and selling when the price breaks down (crossunder) to your top line.
The chart still shows trends clearly, with the fill between the exponential average and the closing value of the canlestick, green at high, red at low (this part of the script is based on the code: "Pivot Daily Price Color" by Rimko).
It also places notes on the high and low candlesticks (based on the code: "Candlesticks Pattern Identified" by Repo32).
It is recommended to use it in conjunction with the "IFR and Storage" script (also available to me), and some volume script.
A estratégia consiste em comprar quando o preço rompe para cima (crossover) a linha inferior do Bollinger e vender quando o preço rompe para baixo (crossunder) a sua linha superior.
O gráfico ainda mostra as tendências de forma clara, com o preenchimento entre a média exponencial e o valor de fechamento do canlestick, verde em alta, vermelho em baixa (essa parte do script é baseada no código: "Pivot Daily Price Color" do usuário: Rimko).
Também, coloca apontamentos nos candlesticks de alta e de baixa (baseado no código: "Candlesticks Pattern Identified" do usuário Repo32).
Recomenda-se a utilização em conjunto com o script "IFR e Estocagem" (também por mim disponibilizado), e algum script de volume.
Boilerplate Configurable Strategy [Yosiet]This is a Boilerplate Code!
Hello! First of all, let me introduce myself a little bit. I don't come from the world of finance, but from the world of information and communication technologies (ICT) where we specialize in data processing with the aim of automating it and eliminating all human factors and actors in the processes. You could say that I am an algotrader.
That said, in my journey through trading in recent years I have understood that this world is often shown to be incomplete. All those who want to learn about trading only end up learning a small part of what it really entails, they only seek to learn how to read candlesticks. Therefore, I want to share with the entire community a fraction of what I have really understood it to be.
As a computer scientist, the most important thing is the data, it is the raw material of our work and without data you simply cannot do anything. Entropy is simple: Data in -> Data is transformed -> Data out.
The quality of the outgoing data will directly depend on the incoming data, there is no greater mystery or magic in the process. In trading it is no different, because at the end of the day it is nothing more than data. As we often say, if garbage comes in, garbage comes out.
Most people focus on the results only, on the outgoing data, because in the end we all want the same thing, to make easy money. Very few pay attention to the input data, much less to the process.
Now, I am not here to delude you, because there is no bigger lie than easy money, but I am here to give you a boilerplate code that will help you create strategies where you only have to concentrate on the quality of the incoming data.
To the Point
The code is a strategy boilerplate that applies the technique that you decide to customize for the criteria for opening a position. It already has the other factors involved in trading programmed and automated.
1. The Entry
This section of the boilerplate is the one that each individual must customize according to their needs and knowledge. The code is offered with two simple, well-known strategies to exemplify how the code can be reused for your own benefits.
For the purposes of this post on tradingview, I am going to use the simplest of the known strategies in trading for entries: SMA Crossing
// SMA Cross Settings
maFast = ta.sma(close, length)
maSlow = ta.sma(open, length)
The Strategy Properties for all cases published here:
For Stock TSLA H1 From 01/01/2025 To 02/15/2025
For Crypto XMR-USDT 30m From 01/01/2025 To 02/15/2025
For Forex EUR-USD 5m From 01/01/2025 To 02/15/2025
But the goal of this post is not to sell you a dream, else to show you that the same Entry decision works very well for some and does not for others and with this boilerplate code you only have to think of entries, not exits.
2. Schedules, Days, Sessions
As you know, there are an infinite number of markets that are susceptible to the sessions of each country and the news that they announce during those sessions, so the code already offers parameters so that you can condition the days and hours of operation, filter the best time parameters for a specific market and time frame.
3. Data Filtering
The data offered in trading are numerical series presented in vectors on a time axis where an endless number of mathematical equations can be applied to process them, with matrix calculation and non-linear regressions being the best, in my humble opinion.
4. Read Fundamental Macroeconomic Events, News
The boilerplate has integration with the tradingview SDK to detect when news will occur and offers parameters so that you can enable an exclusion time margin to not operate anything during that time window.
5. Direction and Sense
In my experience I have found the peculiarity that the same algorithm works very well for a market in a time frame, but for the same market in another time frame it is only a waste of time and money. So now you can easily decide if you only want to open LONG, SHORT or both side positions and know how effective your strategy really is.
6. Reading the money, THE PURPOSE OF EVERYTHING
The most important section in trading and the reason why many clients usually hire me as a financial programmer, is reading and controlling the money, because in the end everyone wants to win and no one wants to lose. Now they can easily parameterize how the money should flow and this is the genius of this boilerplate, because it is what will really decide if an algorithm (Indicator: A bunch of math equations) for entries will really leave you good money over time.
7. Managing the Risk, The Ego Destroyer
Many trades, little money. Most traders focus on making money and none of them know about statistics and the few who do know something about it, only focus on the winrate. Well, with this code you can unlock what really matters, the true success criteria to be able to live off of trading: Profit Factor, Sortino Ratio, Sharpe Ratio and most importantly, will you really make money?
8. Managing Emotions
Finally, the main reason why many lose money is because they are very bad at managing their emotions, because with this they will no longer need to do so because the boilerplate has already programmed criteria to chase the price in a position, cut losses and maximize profits.
In short, this is a boilerplate code that already has the data processing and data output ready, you only have to worry about the data input.
“And so the trader learned: the greatest edge was not in predicting the storm, but in building a boat that could not sink.”
DISCLAIMER
This post is intended for programmers and quantitative traders who already have a certain level of knowledge and experience. It is not intended to be financial advice or to sell you any money-making script, if you use it, you do so at your own risk.
Fibonacci Moving Averages Input(FibMAI) Fibonacci Moving Averages Input is a strategy based on moving averages cross-over or cross-under signals. The bullish golden cross appears on a chart when a stock's short-term moving average crosses above its long-term moving average. The bearish death cross appears on a chart when a stock’s short-term moving average, crosses below its long-term moving average. The general market consensus values used are the 50-day moving average and the 200-day moving average.
With the (FibMAI) Fibonacci Moving Averages Input strategy you can use any value you choose for your bullish or bearish cross. For visual display purposes I have a lot of the Fib Moving Averages 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987 shown while hiding the chart candlesticks. But to use this indicator I click on only a couple of MA's to see if there's a notable cross-over or cross-under pattern signal. Then, most importantly, I back test those values into the FibMAI strategy Long or Short settings input.
For example, this NQ1! day chart has it's Long or Short settings input as follows:
Bullish =
FibEMA34
cross-over
FibEMA144
Bearish =
FibEMA55
cross-under
FibSMA144
As you can see you can mix or match 4 different MA's values either Exponential or Simple.
Default color settings:
Rising value = green color
Falling value = red color
Default Visual FibMA settings:
FibEMA's 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584, 4181
Default Visual MA settings:
SMA's 50, 100, 150, 200
Default Long or Short settings:
Bullish =
FibEMA34
cross-over
FibEMA144
Bearish =
FibEMA55
cross-under
FibSMA144
Money Flow Club Bot Strategy 1-15 min ALLENG:
Friends, in this script, there is a function that calls the closing of the candle by Heikin ASHI candles.
You can disable it in the indicator settings.
There is no redrawing of the indicator on regular candlesticks.
The indicator is easy to set up for any trading pairs and any exchanges.
It has an entry point and provides 2 take profit.
It also contains consolidation zones when the price moves for a short time in the range that is visible on the indicator.
In order to try the indicator write in your personal messages.
The strategy does not specify a condition for exiting the position when the first take is taken, the stop is moved to breakeven, so the chart in the strategy turned out to be torn.
RUS:
Друзья, в этом скрипте присутствует функция вызывающая закрытие свечи по свечам Хейкин Аши.
Её можно отключить в настройках индикатора. На обычных свечах перерисовка индикатора отсутствует.
Индикатор легко настроить на любые торговые пары и любые биржи. А нем есть точка входа и предусмотрены 2 тейк профита.
Так же в нем присутствуют зоны консолидации когда цена короткое время движется в диапазоне который виден на индикаторе.
Для того что бы попробовать индикатор напишите в личные сообщения.
В стратегии не прописано условие выхода из позиции когда первый тейк взят, то стоп переносится в безубыток, поэтому график в стратегии получился рваный.
Ichimoku Cloud Strategy v2.0Trend following trading strategy “Ichimoku Crossover” is a popular Ichimoku trading strategy that uses the cloud and crossover of two base lines to define the market reverse point. Ichimoku crossover trading strategy has appeared to be a profitable trading strategy.
The indicator has 5 base lines and to read Ichimoku indicator it is required to understand the meaning of these lines first of all:
Tenkan-Sen line, also called the Conversion Line, represents the midpoint of the last 9 candlesticks . It is calculated with the following Ichimoku formula: .
Kijun-Sen line, also called the Base Line, represents the midpoint of the last 26 candlesticks . It is calculated with the following formula: .
Chiou Span, also called the Lagging Span, lags behind the price (as the name suggests). The Lagging Span is plotted 26 periods back.
Senkou Span A, also called the Leading Span A, represents one of the two Cloud boundaries and it’s the midpoint between the Conversion Line and the Base Line: . This value is plotted 26 periods into the future and it’s the faster Cloud boundary.
Senkou Span B, or the Leading Span B, represents the second Cloud boundaries and it’s the midpoint of the last 52 price bars: . This value is plotted 52 periods into the future and it is the slower Cloud boundary.
Trading with Ichimoku is very simple.
The Conversion Line needs to break above the Base Line. This will be a buy signal.
For a bearish (sell) signal a trader should wait for the Conversion line crosses the Base line downwards it is a sell signal.
HA smoothed eliminator v2 This script is published to show the difference between Heiken ASHI and Japanese candlesticks. I do not recommend using it in trading. the indicator is taken from here
Bones1390's GANN Strategy - Works for Cryptocurrency too! [MTF]Simple Strategy.
Use this strategy with Heiken Ashi candlesticks.
RULES:
Enter Long ONE BAR after the green Vertical Signal Line plots, and sell as soon as a red Vertical Signal Line. Vice versa. You get it. ;)
18 8 8 strat 30 minUse on BTCUSD with 30 min Heikin Ashi Candlesticks. The horizontal red lines are emergency stop loss lines that if it passes that line it would get stopped out. The Strat starts with $10,000 in the beginning of 2018. Trading 40% of the account on each trade.
This is the alert I am using for Binance on the long side and testing on my bitmex testnet. Still working out some kinks with the syntax. Once we get it set up we will stop using Kraken.
TEMA Cross with Renko BoxesThis is a pretty simple microprofit strategy with a couple twists:
Renko boxes plot fixed price changes over variable amounts of time, rather than plotting varying price changes over fixed amounts of time like conventional candlesticks. This makes price trends much simpler to identify, and that's what we ultimately care about.
Triple exponential moving average is a moving average that has considerably less lag compared to a regular EMA.
Buying and selling is simple, buy when TEMA crosses above a short-term SMA, and sell when TEMA crosses below the short-term SMA. The use of Renko candles makes these crosses more reliable, and TEMA gives us more optimal entries and exits.
We also avoid buying if the price is above a longer-term smoothed moving average. This is an attempt to avoid bags but it means we might miss a few trades right after a pump.
Also included are
avg_protection -- if > 0 we only buy if it will reduce our average bought price
gain_protection -- if >0 only sell once we have met our min_gain
I prefer to use a fixed price increment (traditional Renko) rather than ATR. I start with an increment roughly 0.1% of the current price level and see how the chart looks. It's better if the chart has a lot of big zig-zags. Larger price increments will be less noisy and more reliable, and is more suited for longer-term swing trading.
This strat needs to be used with tiny tiny order sizes and can definitely be improved upon. It does not maximize gains on very rapid pumps.
It basically accumulates a long position with many small buys over and over when the price is below average, until there is an opportunity to sell for a profit. In a pump there is not a lot of time to re-accumulate a position after the first sell.
DOGE 15MIN**Warm Reminder:** This strategy is intended solely for exploratory research and experimentation to evaluate the effectiveness of various signals. Drawing inspiration from patterns observed on the DOGE cryptocurrency 15-minute chart, it provides a tailored framework to identify potential trading opportunities. For optimal results, it is currently recommended exclusively for DOGE 15min charts. Remember, trading involves inherent risks, and past performance is not indicative of future results. We are dedicated to ongoing optimizations and refinements to enhance its robustness across broader applications—stay tuned for updates!
#### **A. Long Entry Signals**
These conditions trigger a long position entry, provided the strategy has no existing position (position_size == 0) and is not blocked. Signals can be enabled/disabled via input toggles (e.g., enable_vix).
- **VIX Reversal (vix_long)**: VIX signal shifts from high to low volatility (non-high volatility), with RSI between 30-50.
- **RSI Oversold (rsi_long)**: RSI crosses above 30.
- **CVD Bullish (cvd_long)**: CVD is rising.
- **Price RSI Bullish (prsi_long)**: Price RSI crosses above 30 or a long signal is triggered.
- **RangeEMA Bullish (rema_long)**: Candlestick is above POC, with KAMA trend flipping upward.
- **ZVWAP Oversold (zvwap_long)**: ZVWAP enters the oversold zone.
- **KAMA + Volume Bullish (kama_long)**: KAMA trend flips upward, candlestick is above POC, volume is rising, and the candle is bullish (green).
- **Volume Burst Bullish (vol_burst_long)**: Volume RSI crosses below threshold (default 70), open > close (bearish/red candle), triggered within the last two candles. **Special: Ignores all blocks** (bypasses not_long, Pivot, OI, RSI/ADX extreme filters).
#### **B. Short Entry Signals**
Similar to long entries: requires no existing position and no blocks.
- **RSI Overbought (rsi_short)**: RSI crosses below 70.
- **CVD Bearish (cvd_short)**: CVD is declining.
- **Price RSI Bearish (prsi_short)**: Price RSI crosses below 70 or a short signal is triggered.
- **RangeEMA Bearish (rema_short)**: Candlestick is below POC, with KAMA trend flipping downward.
- **ZVWAP Overbought (zvwap_short)**: ZVWAP enters the overbought zone.
- **KAMA + Volume Bearish (kama_short)**: KAMA trend flips downward, candlestick is below POC, volume is declining, and the candle is bearish (red).
- **Chop Bearish (chop_short)**: Chop crosses below 38.2, with RSI > 50.
- **Volume Burst Bearish (vol_burst_short)**: Volume RSI crosses below threshold (default 70), RSI > 70, and close > open (bullish/green candle), triggered within the last two candles. **Special: Ignores all blocks** (bypasses not_short, Pivot, OI, RSI/ADX extreme filters).
#### **C. Long Entry Blocks/Filters**
These conditions block long entries unless the signal ignores blocks (e.g., Volume Burst).
- **Base Prohibition (not_long)**: Volume is declining, or ADX is bearish (di_bear), or VIX is in high volatility (vix_flag), or RSI < 30.
- **Pivot Filter**: Recent Pivot is in a disadvantaged position.
- **OI Filter**: OI is declining.
- **RSI/ADX Extreme Filter**: RSI > 70 or ADX is bullish (di_bull).
- **Other**: Strategy already has a position (position_size != 0), or extreme volatility (is_extreme, though disabled in code).
#### **D. Short Entry Blocks/Filters**
Similar to long blocks.
- **Base Prohibition (not_short)**: Volume is rising, or (Chop < 38.2 and RSI > 50), or ADX is bullish (di_bull), or RSI > 70.
- **Pivot Filter**: Recent Pivot is in a disadvantaged position.
- **OI Filter**: OI is rising.
- **RSI/ADX Extreme Filter**: RSI < 30 or ADX is bearish (di_bear).
- **Other**: Existing position, or extreme volatility.
#### **E. Long Exit Signals**
Triggers closing of long positions, based on states (e.g., super_long, weak_long, only_kama).
- **KAMA Bearish Flip (exist_long)**: KAMA trend flips downward, or KAMA is downward with a short signal.
- **VIX Signal**: VIX shifts from low to high volatility, with RSI < 50.
- **Reversal Signal**: Short signal present and KAMA is downward.
- **Weak Trend Stop-Loss (weak_stop_long)**: In weak_long state, candlestick near POC, and close crosses below POC.
- **Weak KAMA Stop-Loss (weak_kama_long)**: In weak_long state, candlestick far from POC, and KAMA trend reverses.
- **Global Exit (exist_all)**: Volume RSI crosses below threshold (vol_under), or KAMA exit (kama_exit_long), or weak stop-loss, etc.
- **Special**: If in strong_long_hold (only_kama and KAMA remains bullish), ignore certain exit signals to hold the position.
#### **F. Short Exit Signals**
Similar to long exits.
- **KAMA Bullish Flip (exist_short)**: KAMA trend flips upward, or KAMA is upward with a long signal.
- **Reversal Signal**: Long signal present and KAMA is upward.
- **Weak Trend Stop-Loss (weak_stop_short)**: In weak_short state, candlestick near POC, and close crosses above short_state.current_max.
- **Weak KAMA Stop-Loss (weak_kama_short)**: In weak_short state, candlestick far from POC, and KAMA flips upward.
- **Global Exit (exist_all)**: Same as above.
Stochastic Z-Score Oscillator Strategy [TradeDots]The "Stochastic Z-Score Oscillator Strategy" represents an enhanced approach to the original "Buy Sell Strategy With Z-Score" trading strategy. Our upgraded Stochastic model incorporates an additional Stochastic Oscillator layer on top of the Z-Score statistical metrics, which bolsters the affirmation of potential price reversals.
We also revised our exit strategy to when the Z-Score revert to a level of zero. This amendment gives a much smaller drawdown, resulting in a better win-rate compared to the original version.
HOW DOES IT WORK
The strategy operates by calculating the Z-Score of the closing price for each candlestick. This allows us to evaluate how significantly the current price deviates from its typical volatility level.
The strategy first takes the scope of a rolling window, adjusted to the user's preference. This window is used to compute both the standard deviation and mean value. With these values, the strategic model finalizes the Z-Score. This determination is accomplished by subtracting the mean from the closing price and dividing the resulting value by the standard deviation.
Following this, the Stochastic Oscillator is utilized to affirm the Z-Score overbought and oversold indicators. This indicator operates within a 0 to 100 range, so a base adjustment to match the Z-Score scale is required. Post Stochastic Oscillator calculation, we recalibrate the figure to lie within the -4 to 4 range.
Finally, we compute the average of both the Stochastic Oscillator and Z-Score, signaling overpriced or underpriced conditions when the set threshold of positive or negative is breached.
APPLICATION
Firstly, it is better to identify a stable trading pair for this technique, such as two stocks with considerable correlation. This is to ensure conformance with the statistical model's assumption of a normal Gaussian distribution model. The ideal performance is theoretically situated within a sideways market devoid of skewness.
Following pair selection, the user should refine the span of the rolling window. A broader window smoothens the mean, more accurately capturing long-term market trends, while potentially enhancing volatility. This refinement results in fewer, yet precise trading signals.
Finally, the user must settle on an optimal Z-Score threshold, which essentially dictates the timing for buy/sell actions when the Z-Score exceeds with thresholds. A positive threshold signifies the price veering away from its mean, triggering a sell signal. Conversely, a negative threshold denotes the price falling below its mean, illustrating an underpriced condition that prompts a buy signal.
Within a normal distribution, a Z-Score of 1 records about 68% of occurrences centered at the mean, while a Z-Score of 2 captures approximately 95% of occurrences.
The 'cool down period' is essentially the number of bars that await before the next signal generation. This feature is employed to dodge the occurrence of multiple signals in a short period.
DEFAULT SETUP
The following is the default setup on EURAUD 1h timeframe
Rolling Window: 80
Z-Score Threshold: 2.8
Signal Cool Down Period: 5
Stochastic Length: 14
Stochastic Smooth Period: 7
Commission: 0.01%
Initial Capital: $10,000
Equity per Trade: 40%
FURTHER IMPLICATION
The Stochastic Oscillator imparts minimal impact on the current strategy. As such, it may be beneficial to adjust the weightings between the Z-Score and Stochastic Oscillator values or the scale of Stochastic Oscillator to test different performance outcomes.
Alternative momentum indicators such as Keltner Channels or RSI could also serve as robust confirmations of overbought and oversold signals when used for verification.
RISK DISCLAIMER
Trading entails substantial risk, and most day traders incur losses. All content, tools, scripts, articles, and education provided by TradeDots serve purely informational and educational purposes. Past performances are not definitive predictors of future results.
Buy Sell Strategy With Z-Score [TradeDots]The "Buy Sell Strategy With Z-Score" is a trading strategy that harnesses Z-Score statistical metrics to identify potential pricing reversals, for opportunistic buying and selling opportunities.
HOW DOES IT WORK
The strategy operates by calculating the Z-Score of the closing price for each candlestick. This allows us to evaluate how significantly the current price deviates from its typical volatility level.
The strategy first takes the scope of a rolling window, adjusted to the user's preference. This window is used to compute both the standard deviation and mean value. With these values, the strategic model finalizes the Z-Score. This determination is accomplished by subtracting the mean from the closing price and dividing the resulting value by the standard deviation.
This approach provides an estimation of the price's departure from its traditional trajectory, thereby identifying market conditions conducive to an asset being overpriced or underpriced.
APPLICATION
Firstly, it is better to identify a stable trading pair for this technique, such as two stocks with considerable correlation. This is to ensure conformance with the statistical model's assumption of a normal Gaussian distribution model. The ideal performance is theoretically situated within a sideways market devoid of skewness.
Following pair selection, the user should refine the span of the rolling window. A broader window smoothens the mean, more accurately capturing long-term market trends, while potentially enhancing volatility. This refinement results in fewer, yet precise trading signals.
Finally, the user must settle on an optimal Z-Score threshold, which essentially dictates the timing for buy/sell actions when the Z-Score exceeds with thresholds. A positive threshold signifies the price veering away from its mean, triggering a sell signal. Conversely, a negative threshold denotes the price falling below its mean, illustrating an underpriced condition that prompts a buy signal.
Within a normal distribution, a Z-Score of 1 records about 68% of occurrences centered at the mean, while a Z-Score of 2 captures approximately 95% of occurrences.
The 'cool down period' is essentially the number of bars that await before the next signal generation. This feature is employed to dodge the occurrence of multiple signals in a short period.
DEFAULT SETUP
The following is the default setup on EURUSD 1h timeframe
Rolling Window: 80
Z-Score Threshold: 2.8
Signal Cool Down Period: 5
Commission: 0.03%
Initial Capital: $10,000
Equity per Trade: 30%
RISK DISCLAIMER
Trading entails substantial risk, and most day traders incur losses. All content, tools, scripts, articles, and education provided by TradeDots serve purely informational and educational purposes. Past performances are not definitive predictors of future results.
Doji strategyThis is a simple strategy based on Doji star candlestick.
It places two orders: buy stop at doji star high or previous candle high and sell stop at doji star low or previous candle low.
Exit rules are with take profit and fixed stop loss or take profit and stop loss at doji min or max.
This strategy works very well with high time frames like Daily and Weekly because those are without noise in doji formation.
Each currency pair has its own optimal setting for TP and SL: it's up to user find the best ones.
I could implement SL based on ATR, maybe in next revision.
Please use comment section for any feedback.
Next improvement (only to whom is interested to this script and follows me): study with alerts on multiple tickers all at one. Leave a comment if you want to have access to study.
Crypto Turtle - Trend Following StrategyThis represents a bot I have written that uses a heavily modified version of the Turtle strategy for cryptocurrency trading. This is meant to be traded on the 4 Hour candlestick. This strategy doesn't 100% accurately reflect the bot due to limitations of pinescript. The actual bot enters on the signal much faster, detects bitcoin price rally and adjust its positions accordingly, follows all pairs traded on poloniex at once.
I am publishing this strategy here to gauge interest, and may list the bot on bitcointalk in the future for sale.
