FRAMA & CPMA Strategy [CSM]The script is an advanced technical analysis tool specifically designed for trading in financial markets, with a particular focus on the BankNifty market. It utilizes two powerful indicators: the Fractal Adaptive Moving Average (FRAMA) and the CPMA (Conceptive Price Moving Average), which is similar to the well-known Chande Momentum Oscillator (CMO) with Center of Gravity (COG) bands.
The FRAMA is a dynamic moving average that adapts to changing market conditions, providing traders with a more precise representation of price movements. The CMO is an oscillator that measures momentum in the market, helping traders identify potential entry and exit points. The COG bands are a technical indicator used to identify potential support and resistance levels in the market.
Custom functions are included in the script to calculate the FRAMA and CSM_CPMA indicators, with the FRAMA function calculating the value of the FRAMA indicator based on user-specified parameters of length and multiplier, while the CSM_CPMA function calculates the value of the CMO with COG bands indicator based on the user-specified parameters of length and various price types.
The script also includes trailing profit and stop loss functions, which while not meeting expectations, have been backtested with a success rate of over 90%, making the script a valuable tool for traders.
Overall, the script provides traders with a comprehensive technical analysis tool for analyzing cryptocurrency markets and making informed trading decisions. Traders can improve their success rate and overall profitability by using smaller targets with trailing profit and minimizing losses. Feedback is always welcome, and the script can be improved for future use. Special thanks go to Tradingview for providing inbuilt functions that are utilized in the script.
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LowFinder_PyraMider_V2This strategy is a result of an exploration to experiment with other ways to detect lows / dips in the price movement, to try out alternative ways to exit and stop positions and a dive into risk management. It uses a combination of different indicators to detect and filter the potential lows and opens multiple positions to spread the risk and opportunities for unrealized losses or profits. This script combines code developed by fellow Tradingview community_members.
LowFinder
The lows in the price movement are detected by the Low finder script by RafaelZioni . It finds the potential lows based on the difference between RSI and EMA RSI. The MTF RSI formula is part of the MTFindicators library developed by Peter_O and is integrated in the Low finder code to give the option to use the RSI of higher timeframes. The sensitivity of the LowFinder is controlled by the MA length. When potential lows are detected, a Moving Average, a MTF Stochastic (based the the MTFindiicators by Peter_O) and the average price level filter out the weak lows. In the settings the minimal percentage needed for a low to be detected below the average price can be specified.
Order Sizing and Pyramiding
Pyramiding, or spreading multiple positions, is at the heart of this strategy and what makes it so powerful. The order size is calculated based on the max number of orders and portfolio percentage specified in the input settings. There are two order size modes. The ‘base’ mode uses the same base quantity for each order it opens, the ‘multiply’ mode multiplies the quantity with each order number. For example, when Long 3 is opened, the quantity is multiplied by 3. So, the more orders the bigger the consecutive order sizes. When using ‘multiply’ mode the sizes of the first orders are considerably lower to make up for the later bigger order sizes. There is an option to manually set a fixed order size but use this with caution as it bypasses all the risk calculations.
Stop Level, Take Profit, Trailing Stop
The one indicator that controls the exits is the Stop Level. When close crosses over the Stop Level, the complete position is closed and all orders are exited. The Stop Level is calculated based on the highest high given a specified candle lookback (settings). There is an option to deviate above this level with a specified percentage to tweak for better results. You can activate a Take Profit / Trailing Stop. When activated and close crosses the specified percentage, the Stop Level logic changes to a trailing stop to gain more profits. Another option is to use the percentage as a take profit, either when the stop level crosses over the take profit or close. With this option active, you can make this strategy more conservative. It is active by default.
And finally there is an option to Take Profit per open order. If hit, the separate orders close. In the current settings this option is not used as the percentage is 10%.
Stop Loss
I published an earlier version of this script a couple of weeks ago, but it got hidden by the moderators. Looking back, it makes sense because I didn’t pay any attention to risk management and save order sizing. This resulted in unrealistic results. So, in this script update I added a Stop Loss option. There are two modes. The ‘average price’ mode calculates the stop loss level based on a given percentage below the average price of the total position. The ‘equity’ mode calculates the stop loss level based on a given percentage of your equity you want to lose. By default, the ‘equity’ mode is active. By tweaking the percentage of the portfolio size and the stop loss equity mode, you can achieve a quite low risk strategy set up.
Variables in comments
To sent alerts to my exchange I use a webhook server. This works with a sending the information in the form of a comment. To be able to send messages with different quantities, a variable is added to the comment. This makes it possible to open different positions on the exchange with increasing quantities. To test this the quantities are printed in the comment and the quantities are switched off in the style settings.
This code is a result of a study and not intended for use as a worked out and full functioning strategy. Use it at your own risk. To make the code understandable for users that are not so much introduced into pine script (like me), every step in the code is commented to explain what it does. Hopefully it helps.
Enjoy!
Moving Average Trap Strategy by D. BrigagliaThis is a strategy that follows the 200 periods moving average and fades the cross of ma3, ma5 and ma8. It is designed for profiting by mean reversion while at the same time respecting long term trend. It is designed for long term trending markets such as stocks and stock indices.
In this backtest, the strategy shows the ability to beat the S&P500 index with an average slippage set to 2 ticks. The number of trades is good (350), the profit factor is acceptable (1.67). The drawdowns are also reduced compared to the underlying asset.
Nothing of my content is financial advice.
*Backtesting System ⚉ ＯＶＥＲＶＩＥＷ ⚉
One of the best Systems for Backtesting your Strategies.
Incredibly flexible, simple, fast and feature-rich system — will solve most of your queries without much effort.
Many systems for setting StopLoss, TakeProfit, Risk Management and advanced Filters.
All you need to do is plug in your indicator and start Backtesting .
I intentionally left the option to use my System on Full Power before you load your indicator into it.
The system uses the built-in simple and popular moving average crossover signal for this purpose. (EMA 50 & 200).
Also Highly Recommend that you Fully use ALL of the features of this system so that you understand how they work before you ask questions.
Also tried to leave TIPS for each feature everywhere, read Tips, activate them and see how they work.
But before you use this system, I Recommend you to read the following description in Full.
—————— How to connect your indicator in 2 steps:
Adapt your indicator by adding only 2 lines of code and then connect it to this Backtesting System.
Step 1 — Create your connector, For doing so:
• 1 — Find or create in your indicator where are the conditions printing the Long-Buy and Short-Sell signals.
• 2 — Create an additional plot as below
I'm giving an example with a Two moving averages cross.
Please replicate the same methodology for your indicator wether it's a MACD, RSI , Pivots, or whatever indicator with Clear Buy and Sell conditions.
//@version=5
indicator('Moving Average Cross', overlay = true)
MA200 = ta.𝚎𝚖𝚊(close, 200)
MA50 = ta.𝚎𝚖𝚊(close, 50)
// Generate Buy and Sell conditions
buy = ta.crossover (MA200, MA50)
sell = ta.crossunder (MA200, MA50)
plot(MA200, color=color.green)
plot(MA50 , color=color.red )
bgcolor(color = buy ? color.green : sell ? color.red : na, title='SIGNALS')
// ———————————————— SIGNAL FOR SYSTEM ————————————————
Signal = buy ? +1 : sell ? -1 : 0
plot(Signal, title='🔌Connector🔌', display = display.none)
// —————— 🔥 The Backtesting System expects the value to be exactly +1 for the 𝚋𝚞𝚕𝚕𝚒𝚜𝚑 signal, and -1 for the 𝚋𝚎𝚊𝚛𝚒𝚜𝚑 signal
Basically, I identified my Buy & Sell conditions in the code and added this at the bottom of my indicator code
Now you can connect your indicator to the Backtesting System using the Step 2
Step 2 — Connect the connector
• 1 — Add your updated indicator to a TradingView chart and Add the Backtesting System as well to the SAME chart
• 2 — Open the Backtesting System settings and in the External Source field select your 🔌Connector🔌 (which comes from your indicator)
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𝐄𝐱𝐭𝐞𝐫𝐧𝐚𝐥 𝐒𝐨𝐮𝐫𝐜𝐞 — Select your indicator. Add your indicator by following the 2 steps described above and select it in the menu. To familiarize yourself with the system until you select your indicator, you will have an in-built strategy of crossing the two moving EMA's of 50 and 200.
Long Deals — Enable/Disable Long Deals.
Short Deals — Enable/Disable Short Deals.
Wait End Deal — Enable/Disable waiting for a trade to close at Stop Loss/Take Profit. Until the trade closes on the Stop Loss or Take Profit, no new trade will open.
Reverse Deals — To force the opening of a trade in the opposite direction.
ReEntry Deal — Automatically open the same new deal after the deal is closed.
ReOpen Deal — Reopen the trade if the same signal is received. For example, if you are already in the long and a new signal is received in the long, the trade will reopen. * Does not work if Wait End Deal is enabled.
𝐓𝐚𝐤𝐞 𝐏𝐫𝐨𝐟𝐢𝐭:
None — Disables take profit. Useful if you only want to use dynamic stoplosses such as MA, Fast-Trailing, ATR Trail.
FIXED ％ — Fixed take profit in percent.
FIXED ＄ — Fixed Take in Money.
ATR — Fixed Take based on ATR.
R:R — Fixed Take based on the size of your stop loss. For example, if your stop is 10% and R:R=1, then the Take would be 10%. R:R=3 Take would be 30%, etc.
HH / LL — Fixed Take based on the previous maximum/minimum (extremum).
𝐒𝐭𝐨𝐩 𝐋𝐨𝐬𝐬:
None — Disables Stop Loss. Useful if you want to work without a stop loss. *Be careful if Wait End Deal is enabled, the trade may not close for a long time until it reaches the Take.
FIXED ％ — Fixed Stop in percent.
FIXED ＄ — Fixed Stop in Money.
TRAILING — Dynamic Trailing Stop like on the stock exchanges.
FAST TRAIL — Dynamic Fast Trailing Stop moves immediately in profit and stays in place if the price stands still or the price moves in loss.
ATR — Fixed Stop based on the ATR.
ATR TRAIL — Dynamic Trailing Stop based on the ATR.
LO / HI — A Fixed Stop based on the last Maximum/Minimum extemum. Allows you to place a stop just behind or above the low/high candle.
MA — Dynamic Stop based on selected Moving Average. * You will have 8 types of MA (EMA, SMA, HMA, etc.) to choose from, but you can easily add dozens of other MAs, which makes this type of stop incredibly flexible.
Add ％ — If true, then with the "𝗦𝘁𝗼𝗽 ％" parameter you can add percentages to any of the current SL. Can be especially useful when using Stop - 𝗔𝗧𝗥 or 𝗠𝗔 or 𝗟𝗢/𝗛𝗜. For example with 𝗟𝗢/𝗛𝗜 to put a stop for the last High/Low and add 0.5% additional Stoploss.
Fixed R:R — If the stop loss is Dynamic (Trailing or MA) then if R:R true can also be made Dynamic * Use it carefully, the function is experimental.
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A unique method of constructing intermediate Take Profit Levels will allow you to select up to 5 intermediate Take Profit Levels and one intermediate Stop Loss.
Intermediate Take Profit Levels are perfectly calculated into 5 equal parts in the form of levels from the entry point to the final Take Profit target.
All you need to do is to choose the necessary levels for fixing and how much you want to fix at each level as a percentage. For example, TP 3 will always be exactly between the entry point and the Take Profit target. And the value of TP 3 = 50 will close 50% of the amount of the remaining size of the position.
Note: all intermediate SL/TP are closed from the remaining position amount and not from the initial position size, as TV does by default.
SL 0 Position — works in the same way as TP 1-5 but it's Stop. With this parameter you can set the position where the intermediate stop will be set.
Breakeven on TP — When activated, it allows you to put the stop loss at Breakeven after the selected TP is reached. For this function to work as it should - you need to activate an intermediate Take. For example, if TP 3 is activated and Breakeven on TP = 3, then after the price reaches this level, the Stop loss will go to Breakeven.
* This function will not work with Dynamic Stoplosses, because it simply does not make sense.
CoolDown # Bars — When activated, allows you to add a delay before a new trade is opened. A new trade after CoolDown will not be opened until # bars pass and a new signal appears.
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Powerful time filter code that allows you to filter data based on specific time zones, dates, and session days. This code is ideal for those who need to analyze data from different time zones and weed out irrelevant data.
With Time Filter, you can easily set the starting and ending time zones by which you want to filter the data.
You can also set a start and end date for your data and choose which days of the week to include in the analysis. In addition, you can specify start and end times for a specific session, allowing you to focus your analysis on specific time periods.
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Signal Filters — allows you to easily customize and optimize your trading strategies based on 10 filters.
Each filter is designed to help you weed out inaccurate signals to minimize your risks.
Let's take a look at their features:
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Risk management tools that allow you to set the maximum number of losing trades in a row, a limit on the number of trades per day or week and other filters.
Loss Streak — Set Max number of consecutive loss trades.
Win Streak — Max Winning Streak Length.
Row Loss InDay — Max of consecutive days with a loss in a row.
DrawDown ％ — Max DrawDown (in % of strategy equity).
InDay Loss ％ — Set Max Intraday Loss.
Daily Trades — Limit the number of MAX trades per day.
Weekly Trades — Limit the number of MAX trades per week.
* 🡅 I would Not Recommend using these functions without understanding how they work.
Order Size — Position Size
• NONE — Use the default position size settings in Tab "Properties".
• EQUITY — The amount of the allowed position as a percentage of the initial capital.
• Use Net Profit — On/Off the use of profit in the following trades. *Only works if the type is EQUITY.
• SIZE — The size of the allowed position in monetary terms.
• Contracts — The size of the allowed position in the contracts. 1 Сontract = Сurrent price.
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It is important to note that I have never worked with Backtesting and the functions associated with them before.
It took me about a month of slow work to build this system.
I want to say Big Thanks:
• The PineScripters🌲 group, the guys suggested how to implement some features. Especially @allanster
• Thanks to all those people who share their developments for free on TV and not only.
• I also thank myself for not giving up and finishing the project, and not trying to monetize the system by selling it. * Although I really want the money :)
I tried hard to make it as fast and convenient as possible for everyone who will use my code.
That's why I didn't use any libraries and dozens of heavy functions, and I managed to fit in 8+-functions for the whole code.
Absolutely every block of code I tried to make full-fledged modular, that it was easy to import/edit for myself (you).
I have abused the Ternary Pine operator a little (a lot) so that the code was as compact as possible.
Nevertheless, I tried very hard to keep my code very understandable even for beginners.
At last I managed to write 500 lines of code, making it one of the fastest and most feature-rich systems out there.
I hope everyone enjoys my work.
Put comments and write likes.
MTF Diagonally Layered RSI - 1 minute Bitcoin Bot [wbburgin]This is a NON-REPAINTING multi-timeframe RSI strategy (long-only) that enters a trade only when two higher timeframes are oversold. I wrote it on BTC/USD for 1min, but the logic should work on other assets as well. It is diagonally layered to be profitable for when the asset is in a downtrend.
Diagonal layering refers to entry and exit conditions spread across different timeframes. Normally, indicators can become unprofitable because in downtrends, the overbought zones of the current timeframe are not reached. Rather, the overbought zones of the faster timeframes are reached first, and then a selloff occurs. Diagonally-layered strategies mitigate this by selling diagonally, that is, selling once the faster timeframe reaches overbought and buying once the slower timeframe reaches oversold.
Thus this strategy is diagonally layered down . I may create a separate script that alternates between diagonal-up and diagonal-down based off of overall trend, as in extended trend periods up this indicator may not flash as frequently. This can be visualized in a time series x timeframe chart as an "X" shape. Something to consider...
Let me know if you like this strategy. Feel free to alter the pyramiding entries, initial capital, and entry size, as well as commission regime. My strategies are designed to maximize average profit instead of flashing super frequently, as the fees will eat you up. Additionally, at the time of publication, all of my strategy scripts are intended to have profitable Sharpe and Sortino ratios.
Timeframes, RSI period, and oversold/overbought bounds are configurable.
Bitcoin 30m Swing Trader Long/Short StrategyIntro
I want to share the results of my passionate hobby and the unstoppable chase for a profitable automated trading strategy. It has been created with the intention of trading only Bitcoin. Altcoins are not interesting for me, as I have discovered lots of issues with finding the right parameter values for experiencing a good performance. As altcoins typically follow the trend of bitcoin and characteristically have a high volatility that may cause stop-hunts, I decided to not over complicate this project. I was just aiming for a profitable trading strategy with an acceptable drawdown and enough confidence by a statistically significant number of trades beside a wide backtesting timespan (credits going out to TradingView: Deep Backtesting).
Total time spent on this is approximately 2 years.
Indicators used
RSI: Used for entries and trend reversal spots
MACD: Used for entry and exit optimiziation
ATR: Used for dynamic offsets in trend definition indicator
Custom trend indicator: Self-made indicator, based on simple price action of higher timeframes using pivot points to find support and resistance zones that have formerly been created
Strategy parameters
I have reduced the total parameters used to just a few. It took lots of working hours to find appropriate values along the trading algorithm and I don’t want to overcomplicate it to you.
This strategy is for those, who have been looking for a working strategy. No DIY kit.
Feel free to adapt Take profit or stop loss targets. But it’s not recommended to do so.
How it works
Entries:
I started with a kind of template that I have been using for strategies for a long time. This includes how to find the right Entries during a trend as well as spotting trend reverse opportunities. Here I combine simple indicators like RSI and MACD beside necessary trend conditions. If a target RSI Value is hit, it will enter a trade, after MACD histogram has stopped to fall/rise. Depends on long/short. While we are in a trade and trend reversed, it waits for a specific RSI target level to be hit, to reverse the trade. As simple as it is, it closes the open one and starts a trade in other direction.
Micro trend:
It starts to get more interesting when it comes to trend recognition, as it forms the core of the strategy and discovering appropriate values for it has been very hard. The final trend variable is defined by the responses over higher timeframes of my self-made trend indicator. Executed on the current timeframe, the trend indicator is quite interesting. But for a automated trading strategy it is necessary to deviate trading instructions from higher timeframes trends.
Macro trend:
The same process that happens for micro trend is also applied with much higher timeframes, like 3D or weekly. The basic assumption is, that if we are in a bull or bear run, where retail investors are flooding the markets, we are increasing our take profit targets respectively. This way we can catch bigger moves in bigger trends.
Exits:
Closing a trade generally happens when a TP target (in %) is hit, or the SL (in %) is hit. The strategy has a special treatment with SL’s. After it happens, the strategy is more careful about market conditions and typically waits for a countertrade. The third way of closing a trade has already been mentioned: the reverse trades. They happen during choppy market conditions. The strategy has also special awareness here and tracks, if reverse trades start to happen more often. After a while, it starts to be more restrictive in opening new reverse trades.
Performance
Capabilities and limitations:
As I have already mentioned the strategy is only optimized for bitcoin (Perpetual Futures). This does not mean, it can not be used on other markets, because the algorithm itself is universal appliable. A very hard task was about finding the right parameter values for the strategy performing like this. If you have a special wish to configure this strategy for a specific market, DM me. The strategy has been tested with different configurations on the following timeframes: 30, 15, 10, 5, 1. I have decided to publish the one for 30m TF, because its performance simply convinced me.
Repainting:
It has been tested lots of times against repainting.
Confidence:
The total backtesting performance reaches out to 2019-09-08. So the strategy has been managing to be successful since then, but this does not guarantee that the logic, this strategy follows, is going to continue this level in future.
Commission:
The algorithm is configured with 0.04% commission per trade, as it is on Binance (for Future Market orders).
Ordersize:
Its totally up to you, how much of your total equity should be traded. Nevertheless, I would personally recommend to not exceed 50% ordersize of your equity with this strategy. In the past, you would have had great performance beside a drawdown, that was from psychological point of view good to handle with. This strategy additionally uses STOP LOSSES, so you can never loose you whole ordersize at one trade.
Slippage:
You also must consider about getting slipped when trading this strategy on live markets. Statistically one could assume, that the slippage could be neutral, as it can be both positive or negative. It depends on your execution time, the exchange, on which you are executing trades and market conditions. But keep it in mind, as if you have too much slippage, this strategy would be unprofitable.
Cycle Position TradingTitle: Cycle Position Trading Strategy v1.0
Description: Cycle Position Trading Strategy is a simple yet effective trading strategy based on a 200-day Simple Moving Average (SMA). Users can select between two modes, "Buy Uptrend" and "Buy Downtrend," to customize the strategy according to their trading preferences. The strategy allows users to set their own stop loss (SL) and take profit (TP) levels, providing more flexibility and control over their trades.
Features:
Choose between two trading modes: "Buy Uptrend" and "Buy Downtrend."
Customize your stop loss (SL) and take profit (TP) levels.
Clear visual representation of the 200-day Simple Moving Average (SMA) on the chart.
How to use:
Add the strategy to your chart by searching for "Cycle Position Trading Strategy" in the TradingView "Indicators & Strategies" section.
Configure the strategy settings according to your preferences:
Select the trading mode from the dropdown menu. "Buy Uptrend" will open long positions when the closing price is above the 200-day SMA. "Buy Downtrend" will open long positions when the closing price is below the 200-day SMA.
Set your desired stop loss (SL) and take profit (TP) levels. The default values are 0.9 (10% below the entry price) for the stop loss and 1.1 (10% above the entry price) for the take profit.
Monitor the chart for trade signals based on the chosen mode and settings. The strategy will enter and exit trades automatically based on the selected mode and the configured stop loss and take profit levels.
Analyze the performance of the strategy by checking the TradingView strategy performance summary or by viewing individual trades in the "Trades" list.
Disclaimer: This strategy is intended for educational and illustrative purposes only. Use it at your own risk. Past performance is not indicative of future results. Trading stocks, cryptocurrencies, or any other financial instrument involves significant risk and may result in the loss of capital.
Version: v1.0
Release date: 2023-03-25
Author: I11L
License: Mozilla Public License 2.0 (mozilla.org)
LeafAlgo Premium Macro StrategiesA "macro score", as defined here, is created by giving various weights to different signals and adding them together to get one smooth score. Positive or negative values are assigned to each of the signals depending on if the statement is true or false (e.g. DPO > 0: +1, DPO < 0: -1). This manner of strategy allows for a subset of the available signals to be present at one time as opposed to every technical signal having to be active in order for a long/short signal to trigger.
This strategy contains SIX different macro score strategies -- "Base DFMA", "Base DFMG", "Ichimoku", "TSI", "Donchian DFMA", and "Donchian DFMG". These strategies have the signals and weights pre-determined in the code. The "Base DFMA" strategy is based on our Democratic Fibonacci Moving Average (DFMA) indicator; the "Donchian DFMA" is the same as the base DFMA strategy, but with a signal from our Donchian Cloud Score indicator as added confluence. The "Base DFMG" strategy is based on our Democratic Fibonacci McGinley Dynamics (DFMG) indicator; the "Donchian DFMG" is the same, but with the Donchian Cloud Score as added confluence. The "Ichimoku" strategy is based on the major sub-indicators found within an Ichimoku Cloud in addition to our Donchian Cloud Score. The "TSI" strategy is based on the True Strength Index.
The ability to select your strategy of choice can be found at the top of the strategy settings under "Strategy Options", then in the drop-down menu labeled "Strategy Choice".
The DFMA - Democratic Fibonacci Moving Average - is a separate indicator that we have released that takes 10 different Fibonacci MAs (lengths of 3 to 233, at Fibonacci intervals) and averages them to form the DFMA line. This helps by creating a consensus on the trend based on moving averages alone. Crossovers of the DFMA with the various Fib MA lengths as well as a cross of the price source and these lines can provide adequate long and short signals. In the two DFMA strategies, the heaviest weights have been given to crosses of the DFMA line/Fib MA (233) as well as the crosses of the Fib MA (3)/DFMA. Additionally, there are thresholds for DPO ( Detrended Price Oscillator , above or below 0), CMO ( Chande Momentum Oscillator , above or below 0), Jurik Volatility Bands (above or below 0), and Stoch RSI (above or below 50). These four signals hold a lighter weight than the MA cross signals. The macro score itself ranges between -10 and 10. In addition to the macro score line, a momentum line (sourced by the macro score itself) has been included. A crossover/crossunder of the macro score and the macro momentum line is included into the long/short signal syntax in addition to a threshold for the macro score.
The DFMG - Democratic Fibonacci McGinley Dynamics - is a separate indicator that we have released that takes 10 different Fibonacci McGinley Dynamic liness (lengths of 3 to 233, at Fibonacci intervals) and averages them to form the DFMG line. This helps by creating a consensus on the trend based on moving averages alone. Crossovers of the DFMG with the various Fib MG lengths as well as a cross of the price source and these lines can provide adequate long and short signals. This strategy has the signals and weights pre-determined in the code. Heaviest weights have been given to crosses of the DFMG line/ McGinley (233) as well as the crosses of the McGinley (3)/DFMG. Additionally, there are thresholds for DPO ( Detrended Price Oscillator , above or below 0), CMO ( Chande Momentum Oscillator , above or below 0), Jurik Volatility Bands (above or below 0), and Stoch RSI (above or below 50). These four signals hold a lighter weight than the McGinley cross signals. The macro score itself ranges between -10 and 10. In addition to the macro score line, a momentum line (sourced by the macro score itself) has been included. A crossover/crossunder of the macro score and the macro momentum line is included into the long/short signal syntax in addition to a threshold for the macro score.
For the Ichimoku macro score, five signals were considered and weighted equally:
- Kijun-sen < Ichimoku Source
- Tenkan-sen < Ichimoku Source
- Kijun-sen > Chikou-span
- Tenkan-sen > Kijun-sen
- Senkou Span A > Senkou Span B
In addition to these factors, the Ichimoku strategy utilizes the Donchian Cloud Score in the long and short entry signals. Thus, the Donchian Cloud settings are applicable to this strategy.
For the True Strength Index strategy, the heaviest weights have been given to various TSI signals, including a crossover/crossunder of TSI signal and TSI value, a threshold for the TSI Signal (above or below 0), and a crossover/crossunder of the CMO ( Chande Momentum Oscillator ) and the TSI signal line. Additionally, there are thresholds for DPO ( Detrended Price Oscillator , above or below 0), Jurik Volatility Bands (above or below 0), and Stoch RSI (above or below 50). These three signals hold a lighter weight than the three TSI signals. The macro score itself ranges between -10 and 10. In addition to the macro score line, a momentum line (sourced by the macro score itself) has been included. A crossover/crossunder of the macro score and the macro momentum line is included into the long/short signal syntax in addition to a threshold for the macro score.
The Donchian Cloud Score is derived from a set of 5 Donchian channels (upper, lower, and basis plotted) defaulted to lengths of 25, 50, 100, 150, and 200. A set of conditions associated with the channels aims to determine ranging versus trending markets. Weights are given to these conditions accordingly, then tallied up to determine the "cloud score", ranging between -25 and 25. In general, a ranging market is determined by a cloud score between -10 and 10, while a positive trending market has a score higher than 10 and a negative trending market has a score lower than -10. That said, long and short thresholds similar to the macro score itself are included in the user settings and set to a default of 5 or -5. The cloud score is plotted as a line in the underlay with coloration reflecting ranging or trending markets (green color above the long threshold, gray between the thresholds, and red below the short threshold). The cloud score is incorporated into the strategy syntax for long and short positions in that the score must be above or below the set threshold for a trade to be placed. A breakdown for the Donchian scoring is as follows:
- Broke the 25-length DC (DC(25)) upper band in the previous 3 bars - +1 if true, 0 if false
- Broke the DC(50) upper band in the previous 3 bars - +2 if true, 0 if false
- Broke the DC(100) upper band in the previous 3 bars - +3 if true, 0 if false
- Broke the DC(150) upper band in the previous 3 bars - +4 if true, 0 if false
- Broke the DC(200) upper band in the previous 3 bars - +5 if true, 0 if false
- Broke the DC(25) lower band in the previous 3 bars - -1 if true, 0 if false
- Broke the DC(50) lower band in the previous 3 bars - -2 if true, 0 if false
- Broke the DC(100) lower band in the previous 3 bars - -3 if true, 0 if false
- Broke the DC(150) lower band in the previous 3 bars - -4 if true, 0 if false
- Broke the DC(200) lower band in the previous 3 bars - -5 if true, 0 if false
- DC(25) basis line above the DC(50) basis line - +1 if true, -1 if false
- DC(25) basis line above the DC(100) basis line - +1 if true, -1 if false
- DC(25)basis line above the DC(150) basis line - +1 if true, -1 if false
- DC(25) basis line above the DC(200) basis line - +1 if true, -1 if false
- DC(50) basis line above the DC(100) basis line - +1 if true, -1 if false
- DC(50) basis line above the DC(150) basis line - +1 if true, -1 if false
- DC(50) basis line above the DC(200) basis line - +1 if true, -1 if false
- DC(100) basis line above the DC(150) basis line - +1 if true, -1 if false
- DC(100) basis line above the DC(200) basis line - +1 if true, -1 if false
- DC(150) basis line above the DC(200) basis line - +1 if true, -1 if false
Thresholds for both the respective macro score and the Donchian Cloud score have been included. Entry signals for each strategy require the score to be >= the respective thresholds for longs and <= the respective thresholds for shorts.
Additionally, a normalized z-score has been included. The z-score does not affect the entry and exit signals, however, it is displayed on the chart in the form of bar coloration. The z-score has been normalized to a range of -1 to +1. A z-score under -0.60 is displayed as a red bar color, a score between -0.60 and -0.2 is displayed as an orange bar color, a score between -0.2 and 0.2 is displayed as a gray bar color, a score between 0.2 and 0.6 is displayed as a lime bar color, and a score over 0.6 is displayed in green.
Data for each respective strategy will be displayed in an overlaid table. This includes the factors that comprise the macro score of choice, the values of each signal that adds up to the macro score, the macro score itself, the value of the momentum line of the macro score, the normalized z-score value, and the Donchian Cloud score (if applicable). Green coloration notes bullish sentiment within the signals or values, gray coloration is neutral, and red coloration notes bearish sentiment.
Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under “TT and TTP” as well as “Stop Loss”. The take profit and stop loss levels will be reflected as green and red lines respectively on the chart as they occur. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly. The option for adding in a trailing stop has also been included, with options to choose between an ATR-based trail or a percentage-based trail. This strategy does NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading.
Profitview/Pineconnector Settings:
If you wish to utilize Profitview’s automation system, find the included “Profitview Settings” under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be “OPEN LONG TITLE”, “OPEN SHORT TITLE”, “CLOSE LONG TITLE”, and “CLOSE SHORT TITLE”. If you wished to trade SOL, for example, you would put “SOL LONG”, “SOL SHORT”, “SOL CLOSE LONG”, and “SOL CLOSE SHORT” in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. To set an alert for use with Profitview, go to the “Alerts” tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the “Condition” option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under “Alert actions”, nothing necessarily needs to be selected unless so desired. Leave the “Alert name” option empty. For the “Message”, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else. If using Pineconnector, follow the same directions for setting up an alert, but use the ",buy,,risk=" syntax as noted in the tooltips.
Self Optimizing Supertrend [Starbots]Self Optimizing Supertrend Strategy. (non-repainting)
Script constantly tests 15 Supertrend combinations for maximum profitability and trades based on the best performing combination.
You will notice that signal lines switch after a bar close sometimes, this is when the strategy optimizes to the better combination and change plots, strategy is dynamic.
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# Average True Range (ATR)
The Average True Range (ATR) is a tool used in technical analysis to measure volatility. Unlike many of today's popular indicators, the ATR is not used to indicate the direction of price. Rather, it is a metric used solely to measure volatility, especially volatility caused by price gaps or limit moves.
# Supertrend
A Super Trend is a trend following indicator similar to moving averages. It is plotted on price and the current trend can simply be determined by its placement vis-a-vis price. It is a very simple indicator and is constructed with the help of just two parameters- period and multiplier.
When we construct the Supertrend indicator strategy, the default parameters are 10 for Average True Range (ATR) and 3 for its multiplier. The average true range (ATR) plays a key role in ‘Supertrend’ as the indicator uses ATR to compute its value and it signals the degree of price volatility.
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-Turn on Supertrend Profit Dashboard and spot the worst/best performing combination. You can change them to get the best performance overall.
-Backtesting Range - backtest within your desired time window. Example: 'from 01 / 01 /2020 to 01 / 01 /2023'.
-Optimizing range - you can decrease the amount of bars/data for optimizing script. This way you can keep it up to date to more recent market by selecting optimizing range to optimize it just from the recent 3-6months of data for example. Strategy before this selected range will normally trade (backtest) based on the fifth buying condition (5. Supertrend Factor) parameter in your menu (1.6 by default) if you turn this on.
*I recommend 'Optimizing Range' turned off actually, use max amount of available bars in your history for optimization script.
- Strategy is trading on the bar close without repaint. You can trade Long-Sell or Long- Short. Alerts available, insert webhook messages.
- Turn on Profit Calendar for better overview of how your strategy performs monthly/annualy
- Recommended ATR Length : 10 (default), higher timeframes usually performs good on the shorter period lengths 6-10, smaller timeframes on the larger ATR period length 10-20.
- Recommended Sources : hl2 (default Supertrend), close, hlc3, hlcc4 (when scalping/day trading and market is uptrending good, you can use 'volume' as a source, comes in handy)
- Recommended Smoothing Moving Average for ATR : We smooth the ATR calculation with moving average, traders usually use SMA as a moving average here, but you can use alternatives like EMA, HMA. Try them if this improves your results.
- Recommended TF : 15min, 30min, 1h, 2h, 4h, 8h, 1d (low timeframes works good if you have no fees like Binance currently do on BTC for example otherwise you probably want to use 1/2h+ chart)
- Supertrend Factor parameters : pre-set Supertrend Factors are very good and common in trading world, you don't need to change them, but you can do it at free will. Traders usually use Supertrend factor of 2 or 3, use parameters around this numbers.
- Notes window : add your custom comments in or save your webhook message text inside here for later use.
- Trading Session: in a session, you have to specify the time range for every day. It will trade only within this window and close trades when it's out. Session from 9am to 5pm will look like that: 0900-1700 or 7am to 4:30pm 0700-1630. After the colon, you can specify days of the week for your trading session. 1234567 trading all days, 23456 – Monday to Friday ('1 is Sunday here'). 0000-0000:1234567 by default will trade every day nonstop. 00.00am to 00.00pm and 1234567 every day of the week for example - Cryptocurrencies.
This script is simple to use for any trader as it saves a lot of time for searching good parameters on your own. It's self-optimizing and adjusting to the markets on the go.
Self Optimizing MACD [Starbots]Self Optimizing MACD Strategy. (non-repainting)
Script constantly tests 15 MACD combinations for maximum profitability and trades based on the best performing combination.
You will notice that signal lines switch sometimes, this is when the strategy optimizes to the better combination and change plots, strategy is dynamic.
There are a lot of black - shadow lines, this are the signals that are not currently active, but script keeps checking and valuating every one of them on every bar close. I recommend using dark mode chart for better view.
MACD /Signal lines in Blue/ Orange are the best performing combination and active at the moment.
*Histogram bars are always displayed based on the default MACD setting (12,26,9) - to keep the script running fast and smoothly. It's not changing plots unlike MACD /Signal lines.
-Turn on MACD Profit Dashboard and spot the worst performing combination to change it and get the better performance overall.
-Backtesting Range - backtest within your desired time window. Example: 'from 01/01/2020 to 01/01/2023'
-Optimizing range - you can decrease the amount of bars/data for optimizing script. This way you can keep it up to date to more recent market by selecting optimizing range to optimize it just from the recent 3-6months of data for example. Strategy before this selected range will normally trade (backtest) based on the first MACD parameters in your menu (12,26,9 by default) if you turn this on.
*I recommend 'Optimizing Range' turned off actually, use max amount of available bars in your history for optimization
- Strategy is trading on the bar close without repaint. You can trade Long-Sell or Long- Short. Alerts available.
- Turn on Profit Calendar for better overview of how your strategy performs monthly/annualy
- Recommended Sources : close, hl2 , hlc3, hlcc4 (when scalping/day trading and market is uptrending good, you can use 'volume' as a source, comes in handy)
- Recommended TF : 30s, 3min, 5min, 10min, 1h, 2h, 4h, 8h, 1d (low timeframes works good if you have no fees like Binance currently do on BTC for example otherwise you probably want to use 1h+ chart)
- MACD parameters : pre-set MACD combinations are very good and common in trading world, you don't need to change them, but you can do it at free will
- Notes window : add your custom comments in or save your webhook message text inside here for later use.
- Trading Session: in a session, you have to specify the time range for every day. It will trade only within this window and close trades when it's out. Session from 9am to 5pm will look like that: 0900-1700 or 7am to 4:30pm 0700-1630. After the colon, you can specify days of the week for your trading session. 1234567 trading all days, 23456 – Monday to Friday ('1 is Sunday here'). 0000-0000:1234567 by default will trade every day nonstop. 00.00am to 00.00pm and 1234567 every day of the week for example - Cryptocurrencies.
This script is simple to use for any trader as it saves a lot of time for searching good parameters on your own. It's also self-optimizing and adjusting to the markets on the go.
Ema ScalpThis is another simple strategy based on ema
Entry Buy - 1) when close crossover ema then buy and only open one trade till it not close
2) if previous buy trade is profitable open another trade and check again trade is profitable or not
3)if trade is not profitable reset and wait for sell condition...
Entry Sell -1) when close crossunder ema then sell and only open one trade till it not close
2) if previous sell trade is profitable open another trade and check again trade is profitable or not
3) if trade is not profitable reset and wait for buy condition.....
stop loss and take profit is percentage based ...
GAVAD - Selling after a Strong MovimentThis strategy search for a moment whe the market make two candles are consistently strong, and open a Sell, searching the imediactly correction, on the new candle. It`s easy to see the bars on the histogram graph. Purple Bars represent the candle variation. when on candle cross ove the Signal line the graph plot an Yellow ci, if the second bar crossover the signal a green circle is ploted and the operation start on start of the next candle.
This strategy can be used in a lot of Stocks and other graphs. many times we need a small time of graph, maybe 1 or 5 minutes because the gain shoud be planned to a midle of the second candle. You need look the stocks you will use.
Stocks > 100 dolars isnt great, markets extremly volatly not too. but, Stocks that have a consistently development are very interisting. Look to markets searching maybe 0.5% or 1%.
For this moment, I make the development of a Brasilian Real x American Dollar. In 15 Minutes.
if you use in small timeframe the results can be better.
On this time we make more than 500 trades with a small lot of contracts, without a big percent profitable, but a small profit in each operation, maybe you search more than. To present a real trading system I insert a spreed to present a correct view of the results.
Each stock, Index, or crypto there is a specific configuration?
my suggestion for new stocks
You need choice a stock and using the setup search set over than 70% gain (percent profitable), using a 1% of gain and loss between 1-2%
as the exemple (WDO)
default I prepare a Brazilian Index
6-signal (6% is variation of a candle of the last candle)
10000- multiplicator (its important to configure diferences betwen a stock and an Indice)
gain 3 (this proportion will be set looking you target, how I say, 1% can be good)
loss 8 (this proportion will be set with you bankroll management, how I say, maybe 2%, you need evaluate)
for maximize operations I use in the 1 or 5 minute graph. Timeframes more large make slowlly results,
(but not unable that you use in a 1 hour or a 1 day.)
I make this script by zero. Maybe the code doesnt so organized, but is very easy to understand. If you have any doubts . leave a comment.
I hope help you.
TradePro's 2 EMA + Stoch RSI + ATR StrategySaw TradePro's "NEW BEST HIGHEST PROFITING STRATEGY WITH CRAZY RESULTS - 2 EMA+ Stochastic RSI+ ATR", and was curious on the back testing results. This strategy is an attempt to recreate it.
This strategy uses 50 / 200 EMAs, Stochastic RSI and ATR.
Long Entry Criteria:
- 50 EMA > 200 EMA
- Price closes below 50 EMA
- Stochastic RSI has gone into oversold < 20
- Stochastic RSI crosses up while making higher low from previous cross up
Short Entry Criteria:
- 50 EMA < 200 EMA
- Price closes above 50 EMA
- Stochastic RSI has gone into overbought > 80
- Stochastic RSI crosses down while making lower high from previous cross down
Stop-loss is set to ATR stop-loss
Take Profit is 2x the risk
All parameters are configurable.
Enjoy~~
Wunder Trend Reversal botWunder Trend Reversal bot
1. Wunder Trend Reversal Bot - this has only one goal to find a reversal of the trend.
2. The strategy determines, based on the specified value for the filter, a market reversal based on the price actions of the previous bars.
3. A short EMA is used to filter false signals after the reversal signal was received. Crossing the EMA and changing its direction confirms the trend change.
4. There are 2 ways to calculate stop loss and take profit. You can choose one of them:
- Classic stop loss and take profit in a fixed percentage
- ATR stop loss and take pro
5. ATR uses risk reward (R:R) to calculate take profit. The script calculates the risk-reward based on a certain stop loss level and uses it to calculate the take profit
6. A function for calculating risk on the portfolio (your deposit) has been added to the script. When this option is enabled, you get a calculation of the entry amount in dollars relative to your Stop Loss. In the settings, you can select the risk percentage on your portfolio. The loss will be calculated from the amount that will be displayed on the chart.
For example. Deposit - $1000, you set the risk to 1%. SL 5%. Entry volume will be $200. The loss at SL will be $10.10$ this is your 1% risk or 1% of the deposit.
Important! The risk per trade must be less than the Stop Loss value. If the risk is greater than SL, then you should use leverage.
The amount of funds entering the trade is calculated in dollars. This option was created if you want to send the dollar amount from Tradingview to the exchange. However, putting your volume in dollars you get the incorrect net profit and drawdown indication in the backtest results, as TradingView calculates the backtest volume in contracts.
To display the correct net profit and drawdown values in Tradingview Backtest results, use the ”Volume in contracts” option.
Macro Score -- User-Customized Scores and SignalsA "macro score", as defined here, is created by giving various weights to different signals and adding them together to get one smooth score. Positive or negative values are assigned to each of the signals depending on if the statement is true or false (e.g. DPO > 0: +1, DPO < 0: -1). This manner of strategy allows for a subset of the available signals to be present at one time as opposed to every technical signal having to be active in order for a long/short signal to trigger. This particular strategy allows the user to choose between 18 different signals to be used in scoring as well as allowing the user to determine the individual weights of each score as well as the overall threshold to determine long or short signals. Weights for each score range between 1 and 5, with 5 being the greatest weight. The overall threshold for long or short is dependent on the total possible weights added together (i.e. if your weights total -10 or +10, a threshold within this range must be used).
The macro score itself is printed in an underlay as a white line that goes between the maximum positive and negative values for all weights added together for this strategy. In addition to the macro score line, a green momentum line (sourced by the macro score itself) has been included. A crossover/crossunder of the macro score and the macro momentum line is included into the long/short signal syntax in addition to a threshold for the macro score. The length of the Macro Score's momentum line can be found in the settings.
The current signals to choose from include:
- ADX Threshold - if the Average Directional Index is above a set threshold, signal positive or negative
- CMF Threshold - if the Chaikin Money Flow oscillator is above 0, signal positive; otherwise, signal negative
- CMO > TSI Signal - signal positive if there is a cross of the Chande Momentum Oscillator and the True Strength Index signal line
- CMO Threshold - if the Chande Momentum Oscillator is above 0, signal positive; otherwise, signal negative
- DPO Threshold - if the Detrended Price Oscillator is above 0, signal positive; otherwise, signal negative
- EOM Threshold - if the Ease of Money Oscillator is above 0, signal positive; otherwise, signal negative
- Jurik Threshold - if the Jurik price line (from the Jurik Volatility Bands) is above 0, signal positive; otherwise, signal negative
- MACD Threshold - if the MACD signal line is above 0, signal positive; otherwise, signal negative
- McGinley Cross - a crossover of a fast McGinley Dynamic length line and a slow McGinley Dynamic line signals positive; otherwise, signal negative
- PSAR - if the direction of the PSAR is heading long, signal positive; otherwise, signal negative
- ROC Threshold - if the Rate of Change oscillator is above 0, signal positive; otherwise, signal negative
- RSI Threshold - if the Relative Strength Index is above 50, signal positive; otherwise, signal negative
- Stoch RSI Threshold - if the Stoch RSI is above 50, signal positive; otherwise, signal negative
- Supertrend - if the Supertrend determines long, signal positive; otherwise, signal negative
- TSI Cross - a crossover of the True Strength Index value line and the TSI signal line signals positive; otherwise, signal negative
- TSI Signal Threshold - if the TSI signal line is above 0, signal positive; otherwise, signal negative
- Williams Alligator Cross - if the Williams Alligator lips cross the teeth and jaw, signal positive; otherwise, signal negative
- Williams %R - if the Williams %R is above -50, signal positive; otherwise, signal negative
Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under “TT and TTP” as well as “Stop Loss”. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly. This strategy does NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading.
Profitview Settings:
If you wish to utilize Profitview’s automation system, find the included “Profitview Settings” under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be “OPEN LONG TITLE”, “OPEN SHORT TITLE”, “CLOSE LONG TITLE”, and “CLOSE SHORT TITLE”. If you wished to trade SOL, for example, you would put “SOL LONG”, “SOL SHORT”, “SOL CLOSE LONG”, and “SOL CLOSE SHORT” in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. To set an alert for use with Profitview, go to the “Alerts” tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the “Condition” option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under “Alert actions”, nothing necessarily needs to be selected unless so desired. Leave the “Alert name” option empty. For the “Message”, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else.
Sample setup for SOLUSDT 30M:
- Score 1 - Value 4, PSAR (0.05 start, 0.02 increment, 0.2 max value; sourced open)
- Score 2 - Value 4, Jurik Threshold (JVB Length 25, JVB Smoothing 6, JVB Price Threshold 0)
- Score 3 - Value 5, DPO Threshold (DPO Length 40, uncentered)
- Score 4 - Value 5, CMO Threshold (CMO Length 40, sourced open)
- Score 5 - Value 2, MACD Threshold (Fast Length 12, Slow Length 30, sourced open)
- Macro Length 21
- Long Threshold - -3
- Short Threshold - +3
- Take Profit % - 0.9/0.9
- Trail % - 0.005
- Stop Loss % - 1.4
Sample setup for AVAXUSDT 20M:
- Score 1 - Value 3, TSI Cross (Long Length 25, Short Length 16, Signal Length 17)
- Score 2 - Value 2, TSI Signal Threshold (same settings as the TSI Cross)
- Score 3 - Value 2, Jurik Threshold (JVB Length 20, JVB Smoothing 8, JVB Price Threshold 0)
- Score 4 - Value 2, DPO Threshold (DPO Length 40, uncentered)
- Score 5 - Value 1, Stoch Threshold (K/D 3, RSI (Stoch) Length 10, Stochastic Length 4, sourced open)
- Macro Length 13
- Long Threshold - +5
- Short Threshold - -5
- Take Profit % - 1.2/1.2
- Trail % - 0.005
- Stop Loss % - 1.5
Ultimate Strategy Template (Advanced Edition)Hello traders
This script is an upgraded version of that one below
New features
- Upgraded to Pinescript version 5
- Added the exit SL/TP now in real-time
- Added text fields for the alerts - easier to send the commands to your trading bots
Step 1: Create your connector
Adapt your indicator with only 2 lines of code and then connect it to this strategy template.
For doing so:
1) Find in your indicator where are the conditions printing the long/buy and short/sell signals.
2) Create an additional plot as below
I'm giving an example with a Two moving averages cross.
Please replicate the same methodology for your indicator wether it's a MACD , ZigZag , Pivots , higher-highs, lower-lows or whatever indicator with clear buy and sell conditions.
//@version=5
indicator(title='Moving Average Cross', shorttitle='Moving Average Cross', overlay=true, precision=6, max_labels_count=500, max_lines_count=500)
type_ma1 = input.string(title='MA1 type', defval='SMA', options= )
length_ma1 = input(10, title=' MA1 length')
type_ma2 = input.string(title='MA2 type', defval='SMA', options= )
length_ma2 = input(100, title=' MA2 length')
// MA
f_ma(smoothing, src, length) =>
rma_1 = ta.rma(src, length)
sma_1 = ta.sma(src, length)
ema_1 = ta.ema(src, length)
iff_1 = smoothing == 'EMA' ? ema_1 : src
iff_2 = smoothing == 'SMA' ? sma_1 : iff_1
smoothing == 'RMA' ? rma_1 : iff_2
MA1 = f_ma(type_ma1, close, length_ma1)
MA2 = f_ma(type_ma2, close, length_ma2)
// buy and sell conditions
buy = ta.crossover(MA1, MA2)
sell = ta.crossunder(MA1, MA2)
plot(MA1, color=color.new(color.green, 0), title='Plot MA1', linewidth=3)
plot(MA2, color=color.new(color.red, 0), title='Plot MA2', linewidth=3)
plotshape(buy, title='LONG SIGNAL', style=shape.circle, location=location.belowbar, color=color.new(color.green, 0), size=size.normal)
plotshape(sell, title='SHORT SIGNAL', style=shape.circle, location=location.abovebar, color=color.new(color.red, 0), size=size.normal)
/////////////////////////// SIGNAL FOR STRATEGY /////////////////////////
Signal = buy ? 1 : sell ? -1 : 0
plot(Signal, title='🔌Connector🔌', display = display.data_window)
Basically, I identified my buy, sell conditions in the code and added this at the bottom of my indicator code
Signal = buy ? 1 : sell ? -1 : 0
plot(Signal, title="🔌Connector🔌", transp=100)
Important Notes
🔥 The Strategy Template expects the value to be exactly 1 for the bullish signal, and -1 for the bearish signal
Now you can connect your indicator to the Strategy Template using the method below or that one
Step 2: Connect the connector
1) Add your updated indicator to a TradingView chart
2) Add the Strategy Template as well to the SAME chart
3) Open the Strategy Template settings and in the Data Source field select your 🔌Connector🔌 (which comes from your indicator)
From then, you should start seeing the signals and plenty of other stuff on your chart
🔥 Note that whenever you'll update your indicator values, the strategy statistics and visual on your chart will update in real-time
Settings
- Color Candles: Color the candles based on the trade state ( bullish , bearish , neutral)
- Close positions at market at the end of each session: useful for everything but cryptocurrencies
- Session time ranges: Take the signals from a starting time to an ending time
- Close Direction: Choose to close only the longs, shorts, or both
- Date Filter: Take the signals from a starting date to an ending date
- Set the maximum losing streak length with an input
- Set the maximum winning streak length with an input
- Set the maximum consecutive days with a loss
- Set the maximum drawdown (in % of strategy equity)
- Set the maximum intraday loss in percentage
- Limit the number of trades per day
- Limit the number of trades per week
- Stop-loss: None or Percentage or Trailing Stop Percentage or ATR - I'll add shortly multiple options for the trailing stop loss
- Take-Profit: None or Percentage or ATR - I'll add also a trailing take profit
- Risk-Reward based on ATR multiple for the Stop-Loss and Take-Profit
Special Thanks
Special thanks to @JosKodify as I borrowed a few risk management snippets from his website: kodify.net
Best
Dave
The Flower - Multiple Strategy Options in OneStrategy Overview
This strategy code currently includes four separate strategies to be used to either aid in discretionary trading or to be used algorithmically through the third-party system Profitview (profitview.app). Support for Pineconnector for use with MetaTrader 4 is in the works. The strategies have been designed with cryptocurrency trading in mind, however, the fundamentals apply to other assets.
The four strategies currently included are labeled “TSI Cross” (the default setting), “Oscillator Bands”, “Scalping”, and “McG/MA Cross”. Detailed information for each independent strategy can be found below, including sample settings configurations for each. A dropdown menu to select the strategy can be found under the “Strategy Options” set of settings under the Input tab of the strategy settings menu.
Additionally, the option to receive only long or short signals can be found alongside the Strategy Choice menu.
Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under “TT and TTP” as well as “Stop Loss”. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly.
The only visuals associated with the strategy are two McGinley Dynamic lines, red (slow length) and green (fast length). These are relevant to the McGinley Cross strategy, but can be used alongside the other strategies if desired.
When viewing the backtesting data in the TradingView Strategy Tester, ensure that “use bar magnifier” is activated. This option can be found in the Properties tab of the strategy settings menu.
Profitview Settings
If you wish to utilize Profitview’s automation system, find the included “Profitview Settings” under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be “OPEN LONG TITLE”, “OPEN SHORT TITLE”, “CLOSE LONG TITLE”, and “CLOSE SHORT TITLE”. If you wished to trade SOL, for example, you would put “SOL LONG”, “SOL SHORT”, “SOL CLOSE LONG”, and “SOL CLOSE SHORT” in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. A sample of our Profitview syntax can be found below.
To set an alert for use with Profitview, go to the “Alerts” tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the “Condition” option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under “Alert actions”, nothing necessarily needs to be selected unless so desired. Leave the “Alert name” option empty. For the “Message”, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else.
Strategy Choices
As mentioned above, this strategy code contains four separate strategy options. A detailed breakdown of each follows below:
Total Strength Index (TSI) Cross
This strategy option is the default choice. The main signal involved in this strategy is a crossover or crossunder of the TSI value line and TSI signal line, however, there are a few other signals involved in the creation of a long or short entry. In addition to the TSI, the strategy includes an Average Directional Index (ADX) threshold value, Jurik Volatility Bands (JVB), a Stoch RSI threshold, and an oscillator of choice in conjunction with a threshold of 0. This oscillator choice can be selected under the “Signal Options” menu in the Input tab of the strategy settings. The default oscillator is the Detrended Price Oscillator (DPO), though the option for Chande Momentum (CMO) or Rate of Change (RoC) are both viable for this strategy.
Individual settings for these can be found in the Input tab under “Oscillator Settings” (TSI, Stoch RSI, DPO, CMO, ROC), “Band/Channel Settings” (Jurik Volatility Bands Length/Smoothing), and “Directional Settings” (ADX Smoothing Long, DI Length Short, ADX Threshold).
Sample settings for SOLUSDT using the 20M timeframe:
- Oscillator Settings -- DPO Length (21), DPO *not* centered, RSI (Stoch) Length (4), Stochastic Length (4), TSI Long Length (25), TSI Short Length (13), TSI Signal Length (13), K (3), D (3)
- Band/Channel Settings -- Jurik Volatility Bands Length (25), Jurik Volatility Bands Smoothing (5)
- Directional Settings – JVB Price Threshold (0), ADX Smoothing Long (5), DI Length Short (5), ADX Threshold (23)
- Take Profit/Stop Loss – 0.85% TP, 0.005% TTP, 1.3% SL
Oscillator Bands
This strategy involves the usage of bands or channels that use oscillators as a source input. The main signal for this strategy derives from a cross of the band or channel and a hline of 0. Additionally, this includes a “Directional Filter” and a “MA Filter”. The selections for all of these can be found in the “Signal Options” section of the Input tab.
First option is for Oscillator Choice and includes DPO, CMO, ROC, RSI, TSI, and the Jurik price line. The individual settings for these can be found in the “Oscillator Settings” section. Different channels can be selected for the upper or lower bands, though it is not necessary for them to differ. These current options include Bollinger Bands and Jurik Volatility Bands, the individual settings for each found in the “Band/Channel Settings” section. Next is the MA Filter, of which you can select SMA, EMA, SMMA, WMA, VWMA, KAMA, JMA, or McGinley Dynamic. All options for these settings can be found in the “MA Filter Settings” section. Lastly, the Directional Filters can be selected for either direction like the upper/lower band selection. These filters include the ADX, Bull-Bear Power (BBP), Parabolic SAR (PSAR), or Jurik.
Sample settings for WAVESUSDT using the 20M timeframe:
- Oscillator Choice – DPO (Length – 30, uncentered)
- Upper and Lower Band – JVB Upper/Lower (Jurik Volatility Bands Length – 25; Smoothing – 10)
- MA Filter – VWMA – (MA Length – 40; Source – Open)
- Directional Filter – ADX (ADX Smoothing Long – 14; DI Length Short – 5; ADX Threshold – 22)
- Take Profit/Stop Loss – 0.85% TP, 0.005% TTP, 1.3% SL
Scalping
This strategy heavily relies on the usage of Parabolic SAR, accompanied by a “Directional Filter” (as discussed in the previous section) other than PSAR. This strategy can provide a higher frequency of trades as opposed to the other strategies available, however, it comes with slightly higher risk inherently. A riskier take profit/stop loss spread is recommended here, though risk should always be managed. The settings required for this strategy are all found under the “Directional Settings” section of the strategy inputs.
Sample settings for NEARUSDT using the 20M timeframe:
- Directional Filter set to ADX
- Directional Settings – ADX Smoothing Long (5), DI Length Short (5), ADX Threshold (22), PSAR Start Value (0.02), PSAR Increment (0.005), PSAR Max Value (0.15), PSAR Source (Close)
- Take Profit/Stop Loss – 0.75% TP, 0.005% TTP, 1.5% SL
McGinley Cross
This strategy revolves around the crossing of two McGinley Dynamic lines of varying lengths alongside an ADX filter as well as a DPO filter. McGinley is used as opposed to a standard moving average cross strategy as it adjusts for shifts in market speed and can better gauge market trends. The McGinley length settings can be found with the “MA Filter” settings, labeled as Fast Length and Slow Length. The fast length number should be smaller than the slow length.
Sample settings for SOLUSDT using the 20M timeframe:
- Oscillator Settings – DPO Length (30), uncentered
- MA Filter Settings – McGinley Fast Length (4), McGinley Slow Length (21)
- Take Profit/Stop Loss – 0.85% TP, 0.005% TTP, 1.4% SL
Comprehensive Settings List
Date and Time: From date and to date, adjustable for backtesting purposes.
Signal Options:
Oscillator Choices: Chande Momentum Oscillator (CMO), Detrended Price Oscillator (DPO), Rate of Change (ROC), Relative Strength Index (RSI), True Strength Index (TSI), Jurik Volatility Bands Priceline (JVB) – *** for use with TSI Cross or Oscillator Bands strategies only ***
Upper and Lower Band/Channel Choices: Bollinger Bands (BB) or Jurik Volatility Bands (JVB) -- *** for use with Oscillator Bands strategy only ***
MA/McG Filter: SMA, EMA, RMA, WMA, VWMA, Kaufmann MA, Jurik MA, McGinley Dynamic -- *** for use with Oscillator Bands strategy only ***
Directional Filter Long/Short: Average Directional Index (ADX), Bull/Bear Power (BBP), Parabolic SAR (PSAR), Jurik -- *** for use with Oscillator Bands strategy only ***
Profitview Settings: *** For use with ProfitView extension only, otherwise ignore ***
Oscillator Settings: *** For use with TSI Cross, Oscillator Bands, and McGinley Cross strategies ***
CMO Length, CMO Source – for Chande Momentum Oscillator
DPO Length, DPO Centered – for Detrended Price Oscillator
RoC Length, RoC Source – for Rate of Change
RSI Length, RSI MA Length – for Relative Strength Index
RSI (Stoch) Length, Stochastic Length, Stoch RSI Source, K, D – for Stochastic RSI
TSI Long Length, TSI Short Length, TSI Signal Length – for True Strength Index
Band/Channel Settings: *** For use with Oscillator Bands strategy ***
Jurik Volatility Bands Length, Jurik Volatility Bands Smoothing – for Jurik Volatility Bands
Bollinger Band Length, Bollinger Band Multiplier – for Bollinger Bands
Directional Settings: *** For use with Scalping and Oscillator Bands strategies ***
JVB Price Threshold – for Jurik Volatility as a directional setting
ADX Smoothing Long, DI Length Short, ADX Threshold – for Average Directional Index
PSAR Start Value, PSAR Increment, PSAR Max Value, PSAR Source – for Parabolic SAR
MA Filter Settings: *** For use with Oscillator Bands and McGinley Cross strategies ***
McGinley Fast/Slow Length – for McGinley Dynamic
MA Length, MA Source, MA Offset – for any other moving average
TP and TTP / Stop Loss: *** For use with ALL strategies ***
Long/Short Take Profit % -- for standard take profit settings
Enable Trailing, Trailing Take Profit % -- for trailing settings
Stop Loss % -- for standard stop loss settings; trailing can be enabled or disabled for stop loss
Disclaimers:
Some open-source code has been included -- Jurik Volatility Bands (by "ProValueTrader") and Trailing Take Profit/Stop Loss code (by jason5480). Additional code was used from the TradingView built-ins.
These strategies do NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading.
Invites to the strategy will only be disseminated to those with express consent and knowledge of the invite prior to the action itself.
Wunder Keltner botWunder Keltner bot
1. Wunder Keltner bot is based on the breakout of the Keltner channel. For calculation, 2 channels are used, one for long trades, and the other for short trades. The division into 2 channels is used for more accurate entry calculations depending on trend directions.
2. The ADX indicator is used to filter signals and determine the trend strength. ADX determines the strength of the trend and confirms the entry into the strategy if the value is greater than the level indicated in the settings.
3. There are 3 ways to calculate Stop Loss and Take Profit. You can choose one of them:
Classic Stop Loss and Take Profit in a fixed percentage
ATR Stop Loss
Keltner. Stop Loss, which is set on the opposite Keltner’s Channel Band from Keltner breakout.
4. ATR and Keltner use Risk Reward (R:R) to calculate Take Profit. The script calculates Risk Reward based on the determined Stop loss level and uses the ration to calculate Take Profit.
5. A function for calculating risk on the portfolio (your deposit) has been added to the script. When this option is enabled, you get a calculation of the entry amount in dollars relative to your Stop Loss. In the settings, you can select the risk percentage on your portfolio. The loss will be calculated from the amount that will be displayed on the chart.
For example. Deposit - $1000, you set the risk to 1%. SL 5%. Entry volume will be $200. The loss at SL will be $10.10$ this is your 1% risk or 1% of the deposit.
Important! The risk per trade must be less than the Stop Loss value. If the risk is greater than SL, then you should use leverage.
The amount of funds entering the trade is calculated in dollars. This option was created if you want to send the dollar amount from Tradingview to the exchange. However, putting your volume in dollars you get the incorrect net profit and drawdown indication in the backtest results, as TradingView calculates the backtest volume in contracts.
To display the correct net profit and drawdown values in Tradingview Backtest results, use the ”Volume in contract” option.
Power Trend v1.0Background to the tool
The tool was built out of frustration. Having traded for many years with a reasonable level of success I was always frustrated that my trading never went up a level. The world of trading is filled with people having so much more success than me and this level of FOMO really bothered me and resulted in inconsistency and countless hours sitting in front of a screen, hoping for the best. I also became a little bit of an indicator junkie - was there a holy grail indicator out there for me? I always felt that as a retail trader I was behind the curve. I started to investigate how the major market participants trade and make money and I was astounded at the level of success that they get from creating strategies and sticking to it. The market is driven largely by a "black boxes" which, for us retail traders are outside of our ability to access. I wanted to build a tool that could give me a traders edge.
Another factor that has always bothered me was when reading investing books there is a general assumption that a standard entry, say 8/13 cross over, works on all stocks. However, it is not the case and it can be frustrating for a trader using a set up and not realizing that the set up was/is the problem, not the trader. This realization alone has made a huge impact on my trading. The big boxes that control the market know this already.
Also, a lot of indicators that are available don’t take advantage of the backtesting capability provided in Tradingview. It is fairly simple to find 8-9 trades where a set up worked and then fall into the trade of assuming that it cannot fail. Knowing which set ups work and how frequently it will print will change the way that you trade.
The goal with the tool is to identify setups that have worked in the past with a high degree of profitability, high profit factor and low drawdown and using the planning tool allows you to customize the setup to find exactly what you are looking for across any tradeable asset on TradingView.
Over the past 20 years I have realized the following:
1) Not all entries and signals work the same on all stocks and knowing the historical performance of a strategy is critical
2) Not having a plan in advance lowers your probability of success
3) Developing consistency in analysis is critical
4) Developing confidence in your own plan is more important than whose trades you try to copy
5) Having 30 indicators does not help you trade better - it leads to more frustration
So here is the product of these realisations:
1) The tool looks across the most common entry strategies (RMA / EMA / SMA / HMA / WMA cross on 5 dimensions of type and 5 common crossovers) and can be used on 19 different time frames giving you guidance on what the best set up is for the stock you are analysing
2) It incorporates volatility into the strategy – when stocks are trading outside of a predetermined volatility band, a trade will not be entered. This accommodates traders who tend to get shaken out of trades too early.
3) It looks at the impact of “buying the dip” – often a common strategy employed by many traders which now can be backtested and reviewed to see if it actually helped or hindered the trade.
4) It measures your trade plan against your R – what you are willing to risk – and calculates your target profit based on your R multiple
5) It provides a non repaint signal on your base strategy and provides you with signals to trade smaller or shorter signals within the bigger strategy.
There are some additional visual tools:
• Squeeze signals - I am a big fan of the TTM squeeze however the Squeeze by itself can be hard to trade. Seeing a squeeze fire long on a chart can add to trade confidence.
• Seeing zones of support and resistance rather than single lines can also give you some leeway in terms of not getting pushed out of a trade too soon.
The backtester is always reviewed on a multi year period to get an understanding of win rate %, profit ratio and average duration of trade. As an option trader knowing that a high probability move is playing out allows me to make sure that I don’t undercut the time frame for the expiration of the option relative to the historical average duration of a trade. Backtesting on shorter times is unrealistic.
Key benefits
1) It will save you a ton of time. I don’t have to sit in front of a screen watching ticks each day. I can plan for an entry, set an alert for a trade and when the conditions are met the TradingView system sends me a message and I will go and confirm a trade, execute it, set my alerts for control and move on with my life.
2) It allows me to review trade ideas in a consistent manner using the best trade plan and set up for a stock.
3) It forces me to be patient and not panic (always a good thing). With an adjustable volatility feature I can modify the volatility band in the trade plan to accommodate choppy market conditions.
4) It looks at both sides of the market (long and short) and you can calculate the impact of being market neutral or having a directional bias.
I hope this tool helps you to achieve some degree of peace in your trading.
MACD MTF Strategy [JoseMetal]============
ENGLISH
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- Description:
This strategy uses my indicator MACD MTF (check my profile) to generate entries, it also has ATR to define Stop Loss and Take Profit if needed.
The strategy has several customizable options, which allows you to refine the strategy for your asset and timeframe.
You can customize settings for ALL indicator settings (MACD MTF and ATR).
- CUSTOM CONDITIONS TO ENTER A POSITION:
1. Both MACDs agree (current timeframe and higher timeframe).
2. Current timeframe MACD crossover.
3. Higher timeframe MACD crossover.
4. MACDs no longer agree with each other.
- EXIT CONDITION:
1. Predefined Stop Loss and Take Profit based on ATR (stop can be previous wick).
2. MACDs no longer agree with each other.
3. Opposite position entry.
- STOP LOSS TYPE:
1. ATR.
2. Previous wick.
- OTHER OPTIONS:
You can customize any setting for my MACD MTF and ATR.
- Visual:
ATR is shown for the Stop Loss / Take Profit.
The script prints the Take Profit as a green line, Stop Loss as a red line and entry price with a white line.
- Recommendations:
Recommended on 8H or 12H timeframe for the CURRENT timeframe, while using DAILY for the higher timeframe on the MACD MFT (by default).
Entry when BOTH MACDs agree and exit on opposite entry, this has NO TAKE PROFIT or STOP LOSS, so be careful, but gives the BEST profit overall, and being on 8H/12H + Daily lets you relax.
- Customization:
As you can see, almost everything is customizable, for colors and plotting styles check the "Style" tab.
Enjoy!
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ESPAÑOL
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- Descripción:
Esta estrategia utiliza mi indicador MACD MTF (revisa mi perfil) para generar entradas, también cuenta con ATR para definir Stop Loss y Take Profit si es necesario.
La estrategia tiene varias opciones personalizables, lo te le permiten refinar la estrategia para te activo y temporalidad.
Puedes personalizar la configuración de TODOS los indicadores (MACD MTF y ATR).
- CONDICIONES PERSONALIZADAS PARA ENTRAR EN UNA POSICIÓN:
1. Ambos MACDs coinciden (temporalidad actual y temporalidad superior).
2. Cruce del MACD en el marco de tiempo actual.
3. Cruce del MACD en el marco temporal superior.
4. Los MACD ya no coinciden entre sí (están en desacuerdo).
- CONDICIÓN DE SALIDA:
1. Stop Loss y Take Profit predefinidos basados en el ATR (el stop puede ser la mecha anterior).
2. Los MACDs ya no coinciden entre sí (están en desacuerdo).
3. Entrada en posición contraria.
- TIPO DE STOP LOSS:
1. ATR.
2. Mecha anterior.
- OTRAS OPCIONES:
Puede personalizar cualquier ajuste para mi MACD MTF y ATR.
- Visual:
El ATR se muestra para el Stop Loss / Take Profit.
El script imprime el Take Profit como una línea verde, el Stop Loss como una línea roja y el precio de entrada con una línea blanca.
- Recomendaciones:
Se recomienda en el marco de tiempo 8H o 12H para el marco de tiempo ACTUAL, mientras que se utiliza DIARIO para el marco de tiempo superior en el MACD MFT (por defecto).
Entrar cuando AMBOS MACDs están de acuerdo y salir en la entrada opuesta, esto no tiene TAKE PROFIT o STOP LOSS, así que tenga cuidado, pero da el MEJOR beneficio en general, y estar en 8H/12H + Diario le permite relajarse.
- Personalización:
Como puedes ver, casi todo es personalizable, para colores y estilos de trazado revisa la pestaña "Estilo".
¡Que lo disfrutes!
Adulari ATSAdulari's Automated Trading Strategy combines more then 10+ innovative indicators and is carefully designed to provide honest and accurate backtesting results. We created and optimized this strategy to provide realistic results, not insane backtesting results that are very inconsistent and unrealistic. It is made for swing trading on the 15m timeframe. It is recommended to use the BYBIT:BTCUSDT pair.
This strategy has been thoroughly backtested throughout 2 years in order to provide optimal results.
ATS was designed to provide live results close to those of backtesting. It has been ensured this strategy is not overfitted.
Our strategy works in any market & allows users to:
Automate their trades using our alert system and integrations.
View realistic backtesting results.
Filter trades in irregular price action using our trend filters.
And many new features that can be found in the changelog below.
Our strategy detect the direction of trends for any asset & on any timeframe allowing traders to increase their confidence in positions and follow trends.
This strategy is built to be very profitable when used for long time periods. Compounding will make profits very solid.
We give our users the possibility to adjust the settings of the strategy to market price variations, as well as the option to make them less sensitive to irregular price movements so that it only trades predictable price action.
Save time by automating everything!
The strategy's settings play an important role towards profitable trades, however, the constant adjustment of these is not necessary since no overfitting is in play.
We made our strategy as flexible as possible in order to allow it to adjust to internal market dynamics, thus completely removing the need for traders to adjust any settings. We offer multiple setting profiles that are optimized for a certain market, with lower or higher risk.
If you are using this script you acknowledge past performance is not necessarily indicative of future results and there are many more factors that go into a profitable trade.
Trend #4 - ATR+EMA channelOverview:
This strategy use ATR to take-profit, Red-EMA to stop-loss, Blue-EMA channel to judgment breakout.
This strategy use commission setting is 0.05%, slippage setting is 2 ticks, you can set the appropriate value size in the properties page.
What it does:
This strategy detects when a trend is emerging and buy or sell.
How it does it:
When the price breaks through the blue EMA channel, the trend is judged to be strong in the short term, strategy generates a buy or sell order.
After buying or selling,, if the price moves in the expected direction, uses ATR to determine the appropriate spread to take profit, otherwise use red EMA for stop loss.
How to use it:
Start Date and Stop Date - This parameter adjusts the time range used by the strategy.
Stoploss - This parameter adjusts the stop loss amount after each order is placed.
Blue EMA length - This parameter adjusts the length of the channel.
Blue EMA multy - This parameter adjusts the width of the top and bottom of the channel.
ATR Period - This parameter adjusts the number of candles used by the ATR.
ATR mult - This parameter adjusts the upper and lower widths of the ATR. Lowering this parameter can improve the win rate, but not necessarily the profitability.
Red EMA length - This parameter adjusts the number of candles used by the red EMA .
Long - This switch is used to turn Long position on or off.
Short - This switch is used to turn short position on or off.
[D] Dudu 95 Strategy Template ver.1.1.Hello Guys! Nice to meet you all!
This is my Second script after changing My Profile Name!
I updated my strategy template before - I added some filter conditions (EMA, ADX, DMI).
If there's something to update, I will update this script!
Thank you!
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I made this based on the open source strategies by jason5480, kevinmck100, myncrypto.
Thank you All!
### Filter
1. Can Choose whether to use filter.
2. Filters Based on ATR, EMA, ADX, and DMI are ready to use.
### StopLoss
1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High.
2. Can Chosse inputs of each Stop Loss Type.
### Take Profit
1. Can set Risk Reward Ratio for Take Profit.
- To simplify backtest, I erased all other options except RR Ratio.
- You can add Take Profit Logic by adding options in the code.
2. Can set Take Profit Quantity.
### Risk Manangement
1. Can choose whether to use Risk Manangement Logic.
- This controls the Quantity of the Entry.
- e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price,
then 50% of your equity will be used for trade.
2. Can choose How much risk you would take per trade.
### Plot
1. Added Labels to check the data of entry / exit positions.
2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313)
