Strategy Container_Variable Pyramiding & Leverage [Tradingwhale]This is a strategy container . It doesn’t provide a trading strategy. What it does is provide functionality that is not readily available with standard strategy ’shells.’
More specifically, this Strategy Container enables Tradingview users to create trading strategies without knowing any Pine Script code .
Furthermore, you can use most indicators on tradingview to build a strategy without any coding at all, whether or not you have access to the code.
To illustrate a possible output in the image (buy and sell orders) of this strategy container, we are using here an indicator that provides buy and sell signals, only for illustration purposes. Again, this is a strategy container, not a strategy. So we need to include an indicator with this published strategy to be able to show the strategy execution.
What can you do with this strategy container? Please read below.
Trade Direction
You can select to trade Long trades only, Short trades only, or both, assuming that whatever strategy you create with this container will produce buy and sell signals.
Exit on Opposite
You can select if Long signals cause the exit of Short positions and vice versa. If you turn this on, then a sell/short signal will cause the closing of your entire long position, and a buy/long signal will cause the closing of your entire short position.
Use external data sources (indicators) to (a) import signals, or (b) create trading signals using almost any of the indicators available on Tradingview.
Option 1:
When you check the box ‘Use external indicator Buy & Sell signals?’ and continue to select an external indicator that plots LONG/BUY signals as value '1' and SHORT/SELL signals as value '-1, then this strategy container will use those signals for the strategy, in combination with all other available settings.
Here an example of code in an indicator that you could use to import signals with this strategy container:
buy = long_cond and barstate.isconfirmed
sell = short_cond and barstate.isconfirmed
//—------- Signal for Strategy
signal = buy ? 1 : sell ? -1 : 0
plot(plot_connector? signal : na, title="OMEGA Signals", display = display.none)
Option 2:
You can create buy/long and sell/short signals from within this strategy container under the sections called “ Define 'LONG' Signal ” and “ Define 'SHORT' Signal .”
You can do this with a single external indicator, by comparing two external indicators, or by comparing one external indicator with a fixed value. The indicator/s you use need to be on the same chart as this strategy container. You can add up to two (2) external indicators that can be compared to each other at a time. A checkbox allows you to select whether the logical operation is executed between Source #1 and #2, between Source # 1 and an absolute value, or just by analyzing the behavior of Source #1.
Without an image of the strategy container settings it’s a bit hard to explain. However, below you see a list of all possible operations.
Operations available , whenever possible based on source data, include:
- "crossing"
- "crossing up"
- "crossing down"
- "rejected from resistance (Source #1) in the last bar", which means ‘High’ was above Source #1 (resistance level) in the last completed bar and 'Close' (current price of the symbol) is now below Source #1" (resistance level).
- "rejected from resistance (Source #1) in the last 2 bars", which means ‘High’ was above Source #1 (resistance level) in one of the last two (2) completed bars and 'Close' (current price of the symbol) is now below Source #1" (resistance level).
- "rejected from support (Source #1) in the last bar" --- similar to above except with Lows and rejection from support level
- "rejected from support (Source #1) in the last 2 bars" --- similar to above except with Lows and rejection from support level
- "greater than"
- "less than"
- "is up"
- "is down"
- "is up %"
- "is down %"
Variable Pyramiding, Leverage, and Pyramiding Direction
Variable Pyramiding
With this strategy container, you can define how much capital you want to invest for three consecutive trades in the same direction (pyramiding). You can define what percentage of your equity you want to invest for each pyramid-trade separately, which means they don’t have to be identical.
As an example: You can invest 5% in the first trade let’s call this pyramid trade #0), 10% in the second trade (pyramid trade #1), and 7% in the third trade (pyramid trade #2), or any other combination. If your trading strategy doesn’t produce pyramid trading opportunities (consecutive trades in the same direction), then the pyramid trade settings won’t come to bear for the second and third trades, because only the first trade will be executed with each signal.
Leverage
You can enter numbers for the three pyramid trades that are combined greater than 100%. Once that is the case, you are using leverage in your trades and have to manage the risk that is associated with that.
Pyramiding Direction
You can decide to scale only into Winners, Losers, or Both. Pyramid into a:
- Losers : A losing streak occurs when the price of the underlying security at the current signal is lower than the average cost of the position.
- Winners : A winning streak occurs when the price of the underlying security at the current signal is higher than the average cost of the position.
- Both means that you are selecting to scale/pyramid into both Winning and Losing streaks.
Other Inputs that influence signal execution:
You can choose to turn these on or off.
1. Limit Long exits with a WMA to stay longer in Long positions: If you check this box and enter a Length number (integer) for the WMA (Weighted Moving Average), then Long positions can only be exited with short signals when the current WMA is lower than on the previous bar/candle. Short signals sometimes increase with uptrends. We’re using this WMA here to limit short signals by adding another condition (WMA going down) for the short signal to be valid.
2. Maximum length of trades in the number of candles. Positions that have been in place for the specified number of trades are excited automatically.
3. Set the backtest period (from-to). Only trades within this range will be executed.
4. Market Volatility Adjustment Settings
- Use ATR to limit when Long trades can be entered (enter ATR length and Offset). We’re using the 3-day ATR here, with your entries for ATR length and offset. When the 3-day ATR is below its signal line, then Long trades are enabled; otherwise, they are not.
- Use VIX to limit when Short trades can be entered (enter VIX). If you select this checkbox, then Short trades will only be executed if the daily VIX is above your set value.
- Use Momentum Algo functions to limit Short trades. This uses the average distance of Momentum Highs and Lows over the lookback period to gauge whether markets are calm or swinging more profoundly. Based on that you can limit short entries to more volatile market regimes.
Set:
- Fast EMA and Slow EMA period lengths
- Number of left and right candles for High and Low pivots
- Lookback period to calculate the High/Low average and then the distance between the two.
The assumption here is that greater distances between momentum highs and lows correlate positively with greater volatility and greater swings in the underlying security.
Stop-Loss
Set separate stop-losses based on % for Long and Short positions. If the position loses X% since entry, then the position will be closed.
Take-Profit
Set separate take-profit levels based on % for Long and Short positions. If the position wins X% since entry, then the position will be closed.
在腳本中搜尋"stop loss"
YinYang RSI Volume Trend StrategyThere are many strategies that use RSI or Volume but very few that take advantage of how useful and important the two of them combined are. This strategy uses the Highs and Lows with Volume and RSI weighted calculations on top of them. You may be wondering how much of an impact Volume and RSI can have on the prices; the answer is a lot and we will discuss those with plenty of examples below, but first…
How does this strategy work?
It’s simple really, when the purchase source crosses above the inner low band (red) it creates a Buy or Long. This long has a Trailing Stop Loss band (the outer low band that's also red) that can be adjusted in the Settings. The Stop Loss is based on a % of the inner low band’s price and by default it is 0.1% lower than the inner band’s price. This Stop Loss is not only a stop loss but it can also act as a Purchase Available location.
You can get back into a trade after a stop loss / take profit has been hit when your Reset Purchase Availability After condition has been met. This can either be at Stop Loss, Entry or None.
It is advised to allow it to reset in case the stop loss was a fake out but the call was right. Sometimes it may trigger stop loss multiple times in a row, but you don’t lose much on stop loss and you gain lots when the call is right.
The Take Profit location is the basis line (white). Take Profit occurs when the Exit Source (close, open, high, low or other) crosses the basis line and then on a different bar the Exit Source crosses back over the basis line. For example, if it was a Long and the bar’s Exit Source closed above the basis line, and then 2 bars later its Exit Source closed below the basis line, Take Profit would occur. You can disable Take Profit in Settings, but it is very useful as many times the price will cross the Basis and then correct back rather than making it all the way to the opposing zone.
Longs:
If for instance your Long doesn’t need to Take Profit and instead reaches the top zone, it will close the position when it crosses above the inner top line (green).
Please note you can change the Exit Source too which is what source (close, open, high, low) it uses to end the trades.
The Shorts work the same way as the Long but just opposite, they start when the purchase source crosses under the inner upper band (green).
Shorts:
Shorts take profit when it crosses under the basis line and then crosses back.
Shorts will Stop loss when their outer upper band (green) is crossed with the Exit Source.
Short trades are completed and closed when its Exit Source crosses under the inner low red band.
So, now that you understand how the strategy works, let’s discuss why this strategy works and how it is profitable.
First we will discuss Volume as we deem it plays a much bigger role overall and in our strategy:
As I’m sure many of you know, Volume plays a huge factor in how much something moves, but it also plays a role in the strength of the movement. For instance, let’s look at two scenarios:
Bitcoin’s price goes up $1000 in 1 Day but the Volume was only 10 million
Bitcoin’s price goes up $200 in 1 Day but the Volume was 40 million
If you were to only look at the price, you’d say #1 was more important because the price moved x5 the amount as #2, but once you factor in the volume, you know this is not true. The reason why Volume plays such a huge role in Price movement is because it shows there is a large Limit Order battle going on. It means that both Bears and Bulls believe that price is a good time to Buy and Sell. This creates a strong Support and Resistance price point in this location. If we look at scenario #2, when there is high volume, especially if it is drastically larger than the average volume Bitcoin was displaying recently, what can we decipher from this? Well, the biggest take away is that the Bull’s won the battle, and that likely when that happens we will see bullish movement continuing to happen as most of the Bears Limit Orders have been fulfilled. Whereas with #2, when large price movement happens and Bitcoin goes up $1000 with low volume what can we deduce? The main takeaway is that Bull’s pressured the price up with Market Orders where they purchased the best available price, also what this means is there were very few people who were wanting to sell. This generally dictates that Whale Limit orders for Sells/Shorts are much higher up and theres room for movement, but it also means there is likely a whale that is ready to dump and crash it back down.
You may be wondering, what did this example have to do with YinYang RSI Volume Trend Strategy? Well the reason we’ve discussed this is because we use Volume multiple times to apply multiplications in our calculations to add large weight to the price when there is lots of volume (this is applied both positively and negatively). For instance, if the price drops a little and there is high volume, our strategy will move its bounds MUCH lower than the price actually dropped, and if there was low volume but the price dropped A LOT, our strategy will only move its bounds a little. We believe this reflects higher levels of price accuracy than just price alone based on the examples described above.
Don’t believe us?
Here is with Volume NOT factored in (VWMA = SMA and we remove our Volume Filter calculation):
Which produced -$2880 Profit
Here is with our Volume factored in:
Which produced $553,000 (55.3%)
As you can see, we wen’t from $-2800 profit with volume not factored to $553,000 with volume factored. That's quite a big difference! (Please note previous success does not predict future success we are simply displaying the $ amounts as example).
Now how about RSI and why does it matter in this strategy?
As I’m sure most of you are aware, RSI is one of the leading indicators used in trading. For this reason we figured it would only make sense to incorporate it into our calculations. We fiddled with RSI for quite awhile and sometimes what logically seems to be the right way to use it isn’t. Now, because of this, our RSI calculation is a little odd, but basically what we’re doing is we calculate the RSI, then turn it into a percentage (between 0-1) that can easily be multiplied to the price point we need. The price point we use is the difference between our high purchase zone and our low purchase zone. This allows us to see how much price movement there is between zones. We multiply our zone size with our RSI multiplication and we get the amount we will add +/- to our basis line (white line). This officially creates the NEW high and low purchase zones that we are actually using and displaying in our trades.
If you found that confusing, here are some examples to why it is an important calculation for this strategy:
Before RSI factored in:
Which produced 27.8% Profit
After RSI factored in:
Which produced 553% Profit
As you can see, the RSI makes not only the purchase zones more accurate, but it also greatly increases the profit the strategy is able to make. It also helps ensure an relatively linear profit slope so you know it is reliable with its trades.
This strategy can work on pretty much anything, but you should tweak the values a bit for each pair you are trading it with for best results.
We hope you can find some use out of this simple but effective strategy, if you have any questions, comments or concerns please let us know.
HAPPY TRADING!
Time Session Filter - MACD exampleTime Session Filter in TradingView Strategy: A Comprehensive Guide
Welcome to this educational TradingView blog where we dive deep into the functionality and utility of the time session filter in trading strategies. It's interesting to note that the time session filter is a commonly overlooked feature in Pine Script, often not integrated into overall trading strategies. Yet, when used wisely, this tool can significantly enhance your trading approach. In essence, the session filter ensures that trades are only made within a specific, user-defined time frame. By incorporating this often-neglected building block, you can make your strategy more adaptable to various market conditions and trading preferences.
What is a Time Session Filter?
A time session filter is designed to:
Select Times of the Day to Trade: The filter allows you to choose specific hours during the day in which trades are allowed to be excecuted.
Toggle Days to Trade: You can decide which days of the week you want to trade, giving you the flexibility to avoid days that are historically not profitable for your strategy.
Close Trade When Session Ends: The filter can automatically close any open trade once the specified time session concludes, reducing the risk associated with holding positions outside your chosen time frame.
The user interface is streamlined, taking minimal space for the input sections, making it convenient to integrate with other indicators in your overall strategy script. In addition the script colors the background of the chart green when the timesession filter is on and makes the background red when the filter doesn't allow any trades. This helps you to visualise the selected timeframes in relation to chart patterns.
Best Practices for Time Selection
From my personal trading experience I share some input settings you can try to play around with:
Stocks: Trading stocks sometimes yield better results if you only trade in the mornings until lunchtime. This is the period when markets are generally more active, and traders are keenly participating.
Cryptocurrencies: For cryptocurrencies, it sometimes makes sense to avoid trading on Fridays, a day when futures contracts often expire. Various other market-moving events also typically occur on Fridays.
Random Selection: Interestingly, sometimes choosing a random selection of times and days can improve the script's performance, adding an element of unpredictability that might outperform more systematic approaches.
Strategy Overview
This strategy script incorporates various elements, including risk position size and MACD indicator, to provide a comprehensive trading strategy. For a detailed explanation of risk position sizing, please refer to this article:
For a complete understanding of the MACD indicator utilized, visit the following explanation:
Additionally, for high time frame trend filters, consult this resource for more info:
Educational Purposes and Risks
Please note that this script is for educational purposes and serves merely as an example of how to incorporate a time session filter into a trading strategy for pinescript. It is a simplified strategy without a fixed stop-loss, which can result in higher exposure to significant losses. The time session filter can be a powerful addition to your trading strategy, providing you with the tools to tailor your approach according to time-specific market conditions. By understanding its functionalities and best practices, you can make more informed trading decisions, but always remember that trading carries inherent risks.
Happy trading!
Premium MTF Layered RSI - Bitcoin Bot [wbburgin]This the premium version of my MTF Layered RSI strategy, which improves significantly on the original strategy (publicly available on my profile). Improvements are below. This strategy will also appear as an overlay on your chart. It is completely non-repainting.
The MTF Layered RSI strategy uses the current timeframe and two configurable higher timeframes to enter a long position when Bitcoin is oversold on all three timeframes, and exit the long position when Bitcoin is overbought on the current timeframe. This hedges against situations where the RSI on higher timeframes never reaches the overbought level and we are left "holding the bag" so to speak with the classic "enter long at oversold and enter short at overbought" strategy.
IMPORTANT: This strategy does not work on ranges. It will work on all timeframes and assets, but does not work on ranges (Renko blocks and some other advanced types of charts).
********** My Background
I am an investor, trader, and entrepreneur with 10 years of cryptocurrency and equity trading experience and founder of two fintech startups. I am a graduate of a prestigious university in the United States and carry broad and inclusive interests in mathematical finance, computer science, machine learning / artificial intelligence, as well as other fields.
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Improvements over the original MTF RSI strategy include:
Filters for Uptrends and Downtrends → The Premium RSI strategy will adjust its buy and sell thresholds depending on whether the instrument is trending. This means that, in uptrends, the Premium strategy will buy more frequently, bringing in potentially greater profit, and in downtrends, the strategy will stop buying altogether. These filters and dynamic buy/sell thresholds have made this strategy more profitable in my backtesting across random timeframes, but I cannot guarantee that the strategy will be profitable for you on the default settings. To that end, I have enabled a number of different configurations that you can change in the settings of the strategy.
Stop Loss / Take Profit Calculation Per Tick → Stop loss and take profit are now both enabled in the script and each has their own alerts. You can specify what type of stop loss or take profit you want: percentage or ATR. If you have alerts configured, you will be alerted mid-bar, instead of at close. This helps prevent loss from abrupt falls in price between closing price and next bar open.
Customizable Alert Messages In-Strategy → In the settings, there will be text boxes where you can create your own alerts. All you will need to do is create an alert in the alert panel on Tradingview and leave the message box blank - if you fill out the alert boxes in the settings, these will automatically populate into your alerts. There are in total eight different customizable alerts messages: Entry, Exit, Stop loss, and Take profit alerts for both Long and Short sides. If you disable stop loss and/or take profit, these alerts will also be disabled. Similarly, if you disable shorts, all short alerts will be disabled.
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Display
Configuring Stop Loss or Take Profit will make their corresponding displays appear.
Separately from the trading boxes, background colors (green, red) signify extended uptrends and downtrends, respectively.
Configuring Alerts
In TradingView desktop, go to the ‘Alerts’ tab on the right panel. Click the “+” button to create a new alert. Select this strategy for the condition and one of the two options that includes alert() function calls. Name the alert what you wish and clear the default message, because your text in the settings will replace this message.
Now that the alert is configured, you can go to the settings of the strategy and fill in your chosen text for the specific alert condition. You will need to check “Long and Short” in the “Trade Direction” setting in order for any Short Alerts to become active. Similarly, you will need to check “Enable Stop Loss” for stop loss alerts to become active and “Enable Take Profit” for take profit alerts to become active.
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Disclaimer
Copyright by wbburgin.
The information contained in my Scripts/Indicators/Algorithms does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
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Notes on the Strategy Performance below: This is 3% of equity per trade, with a pyramiding number of 3. I did not include fees because Binance US on Bitcoin/USD does not charge fees on the instrument; however, I heavily encourage you to include fees in your backtesting if you use a different brokerage. To mitigate fees, this strategy is designed with a high average %/trade. If your current fees are greater than the strategy's average %/trade, I encourage you to choose a higher RSI period, such as 14 or 28, which will result in less trades but potentially a higher %/trade.
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.
Lorentzian Classification Strategy Based in the model of Machine learning: Lorentzian Classification by @jdehorty, you will be able to get into trending moves and get interesting entries in the market with this strategy. I also put some new features for better backtesting results!
Backtesting context: 2022-07-19 to 2023-04-14 of US500 1H by PEPPERSTONE. Commissions: 0.03% for each entry, 0.03% for each exit. Risk per trade: 2.5% of the total account
For this strategy, 3 indicators are used:
Machine learning: Lorentzian Classification by @jdehorty
One Ema of 200 periods for identifying the trend
Supertrend indicator as a filter for some exits
Atr stop loss from Gatherio
Trade conditions:
For longs:
Close price is above 200 Ema
Lorentzian Classification indicates a buying signal
This gives us our long signal. Stop loss will be determined by atr stop loss (white point), break even(blue point) by a risk/reward ratio of 1:1 and take profit of 3:1 where half position will be closed. This will be showed as buy.
The other half will be closed when the model indicates a selling signal or Supertrend indicator gives a bearish signal. This will be showed as cl buy.
For shorts:
Close price is under 200 Ema
Lorentzian Classification indicates a selling signal
This gives us our short signal. Stop loss will be determined by atr stop loss (white point), break even(blue point) by a risk/reward ratio of 1:1 and take profit of 3:1 where half position will be closed. This will be showed as sell.
The other half will be closed when the model indicates a buying signal or Supertrend indicator gives a bullish signal. This will be showed as cl sell.
Risk management
To calculate the amount of the position you will use just a small percent of your initial capital for the strategy and you will use the atr stop loss or last swing for this.
Example: You have 1000 usd and you just want to risk 2,5% of your account, there is a buy signal at price of 4,000 usd. The stop loss price from atr stop loss or last swing is 3,900. You calculate the distance in percent between 4,000 and 3,900. In this case, that distance would be of 2.50%. Then, you calculate your position by this way: (initial or current capital * risk per trade of your account) / (stop loss distance).
Using these values on the formula: (1000*2,5%)/(2,5%) = 1000usd. It means, you have to use 1000 usd for risking 2.5% of your account.
We will use this risk management for applying compound interest.
> In settings, with position amount calculator, you can enter the amount in usd of your account and the amount in percentage for risking per trade of the account. You will see this value in green color in the upper left corner that shows the amount in usd to use for risking the specific percentage of your account.
> You can also choose a fixed amount, so you will have to activate fixed amount in risk management for trades and set the fixed amount for backtesting.
Script functions
Inside of settings, you will find some utilities for display atr stop loss, break evens, positions, signals, indicators, a table of some stats from backtesting, etc.
You will find the settings for risk management at the end of the script if you want to change something or trying new values for other assets for backtesting.
If you want to change the initial capital for backtest the strategy, go to properties, and also enter the commisions of your exchange and slippage for more realistic results.
In risk managment you can find an option called "Use leverage ?", activate this if you want to backtest using leverage, which means that in case of not having enough money for risking the % determined by you of your account using your initial capital, you will use leverage for using the enough amount for risking that % of your acount in a buy position. Otherwise, the amount will be limited by your initial/current capital
I also added a function for backtesting if you had added or withdrawn money frequently:
Adding money: You can choose how often you want to add money (Monthly, yearly, daily or weekly). Then a fixed amount of money and activate or deactivate this function
Withdraw money: You can choose if you want to withdraw a fixed amount or a percentage of earnings. Then you can choose a fixed amount of money, the period of time and activate or deactivate this function. Also, the percentage of earnings if you choosed this option.
Some other assets where strategy has worked
BTCUSD 4H, 1D
ETHUSD 4H, 1D
BNBUSD 4H
SPX 1D
BANKNIFTY 4H, 15 min
Some things to consider
USE UNDER YOUR OWN RISK. PAST RESULTS DO NOT REPRESENT THE FUTURE.
DEPENDING OF % ACCOUNT RISK PER TRADE, YOU COULD REQUIRE LEVERAGE FOR OPEN SOME POSITIONS, SO PLEASE, BE CAREFULL AND USE CORRECTLY THE RISK MANAGEMENT
Do not forget to change commissions and other parameters related with back testing results!. If you have problems loading the script reduce max bars back number in general settings
Strategies for trending markets use to have more looses than wins and it takes a long time to get profits, so do not forget to be patient and consistent !
Please, visit the post from @jdehorty called Machine Learning: Lorentzian Classification for a better understanding of his script!
Any support and boosts will be well received. If you have any question, do not doubt to ask!
Strategy for UT Bot Alerts indicator Using the UT Bot alerts indicator by @QuantNomad, this strategy was designed for showing an example of how this indicator could be used, also, it has the goal to help some people from a group that use to use this indicator for their trading. Under any circumstance I recommend to use it without testing it before in real time.
Backtesting context: 2020-02-05 to 2023-02-25 of BTCUSD 4H by Tvc. Commissions: 0.03% for each entry, 0.03% for each exit. Risk per trade: 2.5% of the total account
For this strategy, 3 indicators are used:
UT Bot Alerts indicator by Quantnomad
One Ema of 200 periods for indicate the trend
Atr stop loss from Gatherio
Trade conditions:
For longs:
Close price is higher than Atr from UT Bot
Ema from UT Bot cross over Atr from UT Bot.
This gives us our long signal. Stop loss will be determined by atr stop loss (white point), break even(blue point) by a risk/reward ratio of 0.75:1 and take profit of 3:1 where half position will be closed. This will be showed as buy (open long position)
The other half will be closed when close price is lower than Atr and Ema from UT Bot cross under Atr. This will be showed as cl buy (close long position)
For shorts:
Close price is lower than Atr from UT Bot
Ema from UT Bot cross over Atr from UT Bot.
This gives us our short signal. Stop loss will be determined by atr stop loss (white point), break even(blue point) by a risk/reward ratio of 0.75:1 and take profit of 3:1 where half position will be closed. This will be showed as sell (open short position)
The other half will be closed when close price is higher than Atr and Ema from UT Bot cross over Atr. This will be showed as cl sell (close short position)
Risk management
For calculate the amount of the position you will use just a small percent of your initial capital for the strategy and you will use the atr stop loss for this.
Example: You have 1000 usd and you just want to risk 2,5% of your account, there is a long signal at price of 20,000 usd. The stop loss price from atr stop loss is 19,000. You calculate the distance in percent between 20,000 and 19,000. In this case, that distance would be of 5,0%. Then, you calculate your position by this way: (initial or current capital * risk per trade of your account) / (stop loss distance).
Using these values on the formula: (1000*2,5%)/(5,0%) = 500usd. It means, you have to use 500 usd for risking 2.5% of your account.
We will use this risk management for apply compound interest.
In settings, with position amount calculator, you can enter the amount in usd of your account and the amount in percentage for risking per trade of the account. You will see this value in green color in the upper left corner that shows the amount in usd to use for risking the specific percentage of your account.
Script functions
Inside of settings, you will find some utilities for display atr stop loss, break evens, positions, signals, indicators, etc.
You will find the settings for risk management at the end of the script if you want to change something. But rebember, do not change values from indicators, the idea is to not over optimize the strategy.
If you want to change the initial capital for backtest the strategy, go to properties, and also enter the commisions of your exchange and slippage for more realistic results.
In risk managment you can find an option called "Use leverage ?", activate this if you want to backtest using leverage, which means that in case of not having enough money for risking the % determined by you of your account using your initial capital, you will use leverage for using the enough amount for risking that % of your acount in a buy position. Otherwise, the amount will be limited by your initial/current capital
---> Do not forget to deactivate Trades on chart option in style settings for a cleaner look of the chart <---
Some things to consider
USE UNDER YOUR OWN RISK. PAST RESULTS DO NOT REPRESENT THE FUTURE.
DEPENDING OF % ACCOUNT RISK PER TRADE, YOU COULD REQUIRE LEVERAGE FOR OPEN SOME POSITIONS, SO PLEASE, BE CAREFULL AND USE CORRECTLY THE RISK MANAGEMENT
Do not forget to change commissions and other parameters related with back testing results!
Strategies for trending markets use to have more looses than wins and it takes a long time to get profits, so do not forget to be patient and consistent !
---> The strategy can still be improved, you can change some parameters depending of the asset and timeframe like risk/reward for taking profits, for break even, also the main parameters of the UT Bot Alerts <----
MACD Optimizer Pro [Kioseff Trading]Massive update! This script now includes 12 different moving averages and 30+ built-in technical indicators to enhance your trading strategy optimization! (:
This script (MACD Optimizer Pro) allows the user to optimize and test hundreds of MACD strategies, simultaneously, in under 40 seconds. Of course, theoretically, an unlimited number of trading strategies can be tested with the MACD Optimizer Pro. After the optimization period - the MACD Optimizer Pro will show the most profitable MACD strategy or, should you choose, the highest win-rate MACD strategy or the most-efficient MACD strategy!
Optimization results can be backtested and verified using the native TradingView backtester - which is included in the MACD Optimizer Pro - and made easy to use! This feature makes settings alerts a simple practice!
Features
Test hundreds of MACD strategies, simultaneously, in under 40 seconds.
Optimize long MACD strategies and short MACD strategies.
12 different built-in moving averages included to improve your MACD strategy.
30+ built-in technical indicators to improve your MACD strategy.
Runs as a strategy script - profit factor, PnL , win-rate, number of trades, max drawdown, equity curve and other pertinent statistics shown.
Alerts
Optimize any MACD setting
Profit targets, trailing stops, fixed stop losses, and a binary MACD strategy can all be tested.
Strategies can be optimized for highest win rate, highest net profit, most efficient profit.
Limit orders can be simulated.
External indicators can be used for optimization i.e. your own, custom-built indicator, an indicator from your favorite author, or almost any publicly available
TradingView indicator.
Date range for optimization and backtesting are configurable.
Explanation
The image above shows a list of configurations for the optimizer. You can
You can test hundreds of different MACD settings in under 40 seconds on any timeframe, asset, etc.
The image above shows additional settings to filter the outcome of your optimization testing. Additionally, you can test an unlimited number of profit targets and stop losses!
You can add one of several built-in TradingView indicators to filter trade entries.
The image above shows all built-in moving averages and TradingView indicators that can be incorporated into your MACD strategy.
Additionally, you can add your own, custom indicator to the optimization test, your favorite indicator by your favorite author or almost any publicly available indicator on TradingView.
The image above shows the settings section in which you can implement this feature.
The image above shows an example of the custom indicator feature! In this instance, I am using the public indicator titled "Self-Optimizing" RSI and requiring it to measure below a level prior to entry! Almost any custom indicator, your favorite indicator, etc. is compatible with this feature!
The MACD Optimizer has improved user friendliness over previous versions. The optimizer can be as simple or complex as you'd like - capable of handling both "easy" and "difficult" tasks at your discretion.
Additionally, you can configure the optimizer to prioritize MACD strategies that earn profit most efficiently!
The image above shows this feature in action.
You can also configure the optimizer to prioritize MACD strategies that achieve the highest win rate!
The image above shows this feature in action.
Instructions
The instructions below show a rudimentary approach to using the optimizer.
1. Build your strategy in the settings.
You should also disable the "Run a Backtest" feature to improve load times during optimization.
The image above shows my custom strategy settings.
Now that you've got some data on your chart - you should try "Freezing" the "Smoothing" setting for MACD . When doing this, the optimizer will test hundreds of MACD settings with a fixed "Smoothing" setting. Try using the best "Smoothing" setting you were able to find for your initial testing.
2. Take the best "Smoothing" setting and test various MACD and Signal Lengths.
The image above shows me configuring the MACD Optimizer to test different MACD line lengths and Signal line lengths with a fixed "smoothing" setting.
From the results, we can see that there are better MACD settings than what was shown in our initial test!
With this information we can execute a TradingView backtest.
3. Execute a TradingView Backtest.
You must enable the "Run a Backtest" feature to perform a TradingView backtest. Additionally, it's advised to enable the "STOP OPTIMIZATION" feature when performing a TradingView backtest. Enabling this feature will improve load times for the backtest to only a few seconds (since the optimizer won't look for the best setting when this feature is enabled).
The image above shows completion of the process!
From here, you can perform further testing, set alerts, etc.
Backtest Settings Shown
Initial Capital: The initial capital used for the shown backtests is $3,500 USD. Set the initial capital to replicate your true starting capital (: PnL for the MACD strategies (listed in table) is calculated using a starting capital of $10,000 USD.
Slippage: The slippage settings for the displayed backtest was set to 2 ticks.
Commission: Commission was adjusted to 0.1%.
Verify Price for Limit Orders was set to 2 ticks.
Optimization
Trading system optimization is immensely advantageous when executed with prudence.
Technical-oriented, mechanical trading systems work when a valid correlation is methodical to the extent that an objective, precisely-defined ruleset can consistently exploit it. If no such correlation exists, or a technical-oriented system is erroneously designed to exploit an illusory correlation (absent predictive utility), the trading system will fail.
Evaluate results practically and test parameters rigorously after discovery. Simply mining the best-performing parameters and immediately trading them is unlikely a winning strategy. Put as much effort into testing strong-performing parameters and building an accompanying system as you would any other trading strategy. Automated optimization involves curve fitting - it's the responsibility of the trader to validate a replicable sequence or correlation and the trading system that exploits it.
Thanks for checking this out!
Three Bars Play Strategy [JoseMetal]============
ENGLISH
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- Description:
This strategy is based on two simple candlestick patterns (you can pick between 2 variants) with an extra option to require trigger candles to be opposite to the closing one (explained below).
There are several customizable settings such as take profit, stop loss and break even (all based on ATR).
You can customize starting and ending date for the testings.
Other options such as allow switch position if strategy SHORTs when you are LONG and vice versa.
There's an additional optional EMA filter.
- LONG / SHORT ENTRY:
Original pattern: for LONG, current candle must close ABOVE the HIGH of previous candle and the candle 3 positions back, opposite conditions for SHORT.
Variant pattern: for LONG, the current candle must close ABOVE the HIGH of the previous candle and the candle before that one too, opposite conditions for SHORT.
Optional: require the trigger candles to be opposite, ex: for LONG you need the previous candles to be RED (bearish).
Optional: EMA filter, price must be ABOVE for LONGs, below for SHORTs.
- EXIT CONDITION:
Stop Loss or Take Profit, based on ATR.
- Visual:
The script prints the Take Profit as a GREEN line, Stop Loss as a RED line and entry price with a WHITE line.
If enabled, the Break Even required price is BLUE, and the new Stop Loss level (for break even or protecting profit) is AQUA.
- Recommendations:
This strategy is great on DAILY on most assets, including crypto, forex and gold.
12H seems to work in most cases, lower timeframes are worse.
- Customization:
You can customize indicator settings (ATR, EMA...).
Stop Loss and Take Profit ATR multipliers are also customizable.
The break even is optional, required level and break even levels (also based on ATR) are custom too.
Almost everything is customizable, for colors and plotting styles check the "Style" tab.
Enjoy!
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ESPAÑOL
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- Descripción:
Ésta estrategia se basa en dos patrones simples de velas (puedes elegir entre 2 variantes) con una opción extra para requerir que las velas de activación sean opuestas a la de cierre (se explica más adelante).
Hay varios ajustes personalizables como el take profit, el stop loss y el break even (todos basados en el ATR).
Puedes personalizar la fecha de inicio y finalización de las pruebas.
Otras opciones como permitir el cambio de posición si la estrategia cambie a SHORT cuando está LONG y viceversa.
Hay un filtro de EMA opcional adicional.
- ENTRADA LARGA / CORTA:
Patrón original: para LONG, la vela actual debe cerrar POR ENCIMA del ALTO de la vela anterior y de la vela 3 posiciones atrás, condiciones opuestas para SHORT.
Patrón variante: para LONG, la vela actual debe cerrar POR ENCIMA del ALTO de la vela anterior y la vela anterior a esa también, condiciones opuestas para SHORT.
Opcional: requiere que las velas de activación sean opuestas, por ejemplo: para LONG requiere que las velas anteriores sean ROJAS (bajistas).
Opcional: fltro EMA, el precio debe estar POR ENCIMA para los LONGs, por debajo para los SHORTs.
- CONDICIÓN DE SALIDA:
Stop Loss o Take Profit, basado en el ATR.
- Visual:
El script dibuja el Take Profit como una línea VERDE, el Stop Loss como una línea ROJA y el precio de entrada con una línea BLANCA.
Si está habilitado, el precio de break even requerido es AZUL, y el nuevo nivel de Stop Loss (para el break even o asegurar ganancias) es CELESTE.
- Recomendaciones:
Ésta estrategia es estupenda en DIARIO en la mayoría de los activos, incluyendo criptos, fórex y oro.
En 12H parece funcionar en la mayoría de los casos, las temporalidades inferiores son peores.
- Personalización:
Puedes personalizar la configuración de los indicadores (ATR, EMA...).
Los multiplicadores de Stop Loss y Take Profit ATR también son personalizables.
El break even es opcional, el nivel requerido y los niveles de break even (también basados en ATR) son personalizables también.
Casi todo es personalizable, para los colores y estilos de trazado compruebe la pestaña "Estilo".
¡Que lo disfrutes!
EMA + Williams Fractal Pullback [Trading Nerd]EMA Pullback Strategy with Williams Fractal Indicator
Backtesting script that searches for trends (long and short) and a following pullback into the EMAs. It enters on the first Williams Fractal in the desired direction. I found the Strategy on YouTube as a "M1 Scalping Strategy for Bitcoin".
Including fees the strategy is not profitalbe in lower timeframes (at least if not optimized). But it seems to work on higher timeframes as a swing traiding strategy.
Strategy Conditions
Longs:
EMA 1 > EMA 2 and EMA 2 > EMA 3
Number of need to be above the EMA 1
Then a Pullback into the EMAs is required
Enter on the first bullish Williams Fractal
Signal is canceled if the price closes below the EMA 3
Shorts:
EMA 1 < EMA 2 and EMA 2 < EMA 3
Number of need to be below the EMA 1
Then a Pullback into the EMAs is required
Enter on the first bearish Williams Fractal
Singal is canceled if the price closes above the EMA 3
Take Profit
A Risk Reward Take Profit is possible. If you want to use only a trailing Stop Loss, you can set the Take Profit to 'None'
Stop Loss
The default Stop Loss is EMA. If the Pullback has not reached the EMA 2, the Stop Loss is set to the EMA 2. If the Pullback has reached the EMA 2, the Stop Loss is set to the EMA 3.
Other Stop Loss types are available: ATR, HH/LL
Trailing Stop Loss
Available trailing Stop Loss types: ATR, HH/LL. Best practice is to also set the Stop Loss type to the same value.
The Stop Loss is updated if the value from the latest closed candle is greater/less than the previous value for a long/short trade.
Additional
Time Filter: Only opens trade in the defined Session. Open trades are still being closed outside of the Session.
Start Date/End Date: Limits the backtest for the defined Date Range
Trading Days: Only open Trades on the checked Days
Risk % per Trade: If enabled the Strategy uses X% of the capital (defined in Settings -> Properties -> Initial Capital)
Use Compound Interest: If enabled Capital is recalculated for every trade (initial capital + net Profit)
IMPORTANT: For low Timeframes and Markets with tight SL (like Forex) it requires a lower Margin Percent than default. Go to Settings->Properties and lower the required Long/Short Margin. Otherwise Trades might not be considered because of too less capital/marign. Margins can e.g. set to: 2% (Forex), 10% (Stocks), 20% (Crypto).
PowerX by jwitt98This strategy attempts to replicate the PowerX strategy as described in the book by by Markus Heitkoetter
Three indicators are used:
RSI (7) - An RSI above 50 indicates and uptrend. An RSI below 50 indicates a downtrend.
Slow Stochastics (14, 3, 3) - A %K above 50 indicates an uptrend. A %K below 50 indicates a downtrend.
MACD (12, 26, 9) - A MACD above the signal line indicates an uptrend. A MACD below the signal line indicates a downtrend
In addition, multiples of ADR (7) is used for setting the stops and profit targets
Setup:
When all 3 indicators are indicating an uptrend, the OHLC bar is green.
When all 3 indicators are indicating a downtrend, the OHLC bar is red.
When one or more indicators are conflicting, the OHLC bar is black
The basic rules are:
When the OHLC bar is green and the preceding bar is black or Red, enter a long stop-limit order .01 above the high of the first green bar
When the OHLC bar is red and the preceding bar is black or green, enter a short stop-limit order .01 below the low of the first red bar
If a red or black bar is encountered while in a long trade, or a green or black bar for a short trade, exit the trade at the close of that bar with a market order.
Stop losses are set by default at a multiple of 1.5 times the ADR.
Profit targets are set by default at a multiple of 3 times the ADR.
Options:
You can adjust the start and end dates for the trading range
You can configure this strategy for long only, short only, or both long and short.
You can adjust the multiples used to set the stop losses and profit targets.
There is an option to use a money management system very similar to the one described in the PowerX book. Some assumptions had to be made for cases where the equity is underwater as those cases are not clearly defined in the book. There is an option to override this behavior and keep the risk at or above the set point (2% by default), rather than further reduce the risk when equity is underwater. Position sizing is limited when using money management so as not to exceed the current strategy equity. The starting risk can be adjusted from the default of 2%.
Final notes: If you find any errors, have any questions, or have suggestions for improvements, please leave your message in the comments.
Happy trading!
Statistical Correlation Algorithm - The Quant ScienceStatistical Correlation Algorithm - The Quant Science™ is a quantitative trading algorithm.
ALGORITHM DESCRIPTION
This algorithm analyses the correlation ratios between two assets. The main asset (on the chart), and the secondary asset (set by the user). Then apply the long or short trading strategy.
The algorithm divides trading work into three parts:
1. Correlation analysis
2. Long or short entry
3. Closing trades
Inside the strategy: the algorithm analyses the percentage change yields from a previous session, of the secondary asset. If the variation meets the set condition then it will open a long or short position, on the primary asset. The open position is closed after 'x' number of sessions. Stop loss and take profit can be added to the trade exit parameters.
Logic: analyses the correlation between two assets and looks for a statistical advantage within the correlation.
INDICATOR DESCRIPTION
The algorithm includes a quantitative indicator. This indicator is used for correlation analysis and offers a quick reading of the quantitative data. The blue area shows the correlation ratio values. The yellow histograms show the percentage change in the yields of the main asset. Purple histograms show the percentage change in secondary asset yields.
GENERAL FEATURES
Multi time-frame: the user can set any time-frame for the secondary asset.
Multi asset: the user analyses the conditions on a second asset.
Multi-strategy: the algorithm can apply either the long strategy or the short strategy.
Built-in alerts: the algorithm contains alerts that can be customized from the user interface.
Integrated indicator: the quantity indicator is included.
Backtesting included: automatic backtesting of the strategy is generated based on the values set.
Auto-trading compliant: functions for auto trading are included.
USER INTERFACE SETTINGS
Through the intuitive user interface, you can manage all the parameters of this algorithm without any programming experience. The user interface is extremely descriptive and contains all the information needed to understand the logic of the algorithm and to configure it correctly.
1. Date range: through this function you can adjust the analysis and working period of the algorithm.
2. Asset: through this function you can adjust the secondary asset and its time-frame. You can enter any type of asset, even indices and economic indicators.
3. Asset details: this function is used to adjust the percentage change to be analyzed on the secondary asset. The analysis and input conditions are also chosen.
4. Active long or short strategy: this function is used to set the type of strategy to be used, long or short.
5. Setting algo trading alert: with this function, users can manage alerts for their web-hook.
6. Exit&Money management: with this function the user can adjust the exit periods of each trade and activate or deactivate any stop losses and take profits.
7. Data Value Analysis: this function is used to adjust the parameters for the quantity indicator.
5-8-13 EMAs Strategy (Andrew's Trading Channel)============
ENGLISH
============
- Description:
This strategy was designed by "Andrew's Trading Channel" (credits to him for the base strategy).
A lot of improvements have been added to the strategy, more conditions, trailing stop, custom stop loss and take profit, everything explained below.
- CONDITIONS FOR ENTERING A LONG:
EMA 5 crossovers EMA 8.
- EXIT LONG:
EMA 8 crossovers EMA 8 and closing price goes below EMA 13.
- CONDITIONS FOR ENTERING SHORT:
EMA 8 crossovers EMA 5.
- EXIT SHORT:
EMA 5 crossovers EMA 8 and closing price goes above EMA 13.
- Visual:
All EMAs are visible (5, 8 and 13 periods) with different and customizable colors/width.
Position start price, take profit, stop loss and trailing stop (if present) are shown automatically.
Background color shows green when LONG conditions are met (and of course, position is opened on the next candle), same for SHORT but red.
- Usage and recommendations:
As this is a coded strategy, you don't even have to check for indicators, just open and close trades as the strategy shows.
There're various customizable settings like optional take profit/stop loss, trailing stop (both based on ATR or any of the EMAs), open only LONGs/SHORTs or both, date range...
Take profit and stop loss ATR default values have been tested for scalping on 5 min charts, however feel free to check strategy results and increase the winning rate/profit for your favorite asset.
- Customization:
As usual I like to make as many aspects of my indicators/strategies customizable, indicators, colors etc., feel free to ask if you feel that something that should be configurable is missing or if you have any ideas to optimize the strategy.
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ESPAÑOL
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- Descripción:
Esta estrategia fue diseñada por "Andrew's Trading Channel" (créditos a él por la estrategia base).
Se han añadido muchas mejoras a la estrategia, más condiciones, trailing stop, stop loss y take profit personalizados, todo explicado a continuación.
- CONDICIONES PARA ENTRAR EN LONG:
Cruce de EMA 5 con EMA 8 ascendente.
- SALIR DE LONG:
Cruce de EMA 8 con EMA 5 ascendente y el precio de cierre se sitúa por debajo de la EMA 13.
- CONDICIONES PARA ENTRAR EN SHORT:
Cruce de EMA 8 con EMA 5 ascendente.
- SALIR DE SHORT:
Cruce de EMA 5 con EMA 8 ascendente y el precio de cierre se sitúa por encima de la EMA 13.
- Visual:
Todas las EMAs son visibles (5, 8 y 13 períodos) con colores/anchos y personalizables.
El precio de inicio de la posición, el take profit, el stop loss y el trailing stop (si están presentes) se muestran automáticamente.
El color de fondo es verde cuando se cumplen las condiciones de LONG (y por supuesto, la posición se abre en la siguiente vela), lo mismo para SHORT pero en rojo.
- Uso y recomendaciones:
Como esta es una estrategia programada, ni siquiera tienes que comprobar los indicadores, sólo abrir y cerrar las operaciones como te muestra la estrategia.
Hay varios ajustes personalizables como el take profit/stop loss opcional, el trailing stop (ambos basados en el ATR o en cualquiera de las EMAs), abrir sólo LONGs/SHORTs o ambos, rango de fechas...
Los valores por defecto del take profit y el stop loss ATR han sido probados para scalping en gráficos de 5 minutos, sin embargo, siéntase libre de comprobar los resultados de la estrategia y aumentar la tasa de ganancia / beneficio para su activo favorito.
- Personalización:
Como siempre me gusta hacer personalizables todos los aspectos de mis indicadores/estrategias, indicadores, colores, etc., siéntase libre de preguntar si cree que falta algo que debería ser configurable o si tiene alguna idea para optimizar la estrategia.
Multi Entry Signal Strategy by TradeSmartThis strategy is intended to test different entry signals. You can use 13 different entry signals in the strategy.
Available signals with all their settings:
Heikin Ashi
RSI + EMA
Wavetrend
MACD
Stochastic RSI
Squeeze Momentum
Kairi Relative Index
SSL
Supertrend
Parabolic SAR
Chandelier Exit
Directional Movement Index
Quantitative Qualitative Estimation
For exact rules of entries please relate to the tooltips of each entry signal. All the signals can be used together or separately in the strategy.
Additional settings that can be used:
Trend Filter (limit long or short entries based on a moving average of your choice)
Exit Strategy settings (ATR is used to determine stop loss and take profit levels)
Trailing Loss Setups (you can use 3 different types of trailing losses)
Setups (you can set Long and Short entries as well as the order size based on either Capital % or Risk %)
Date Range (you can limit trades to specific date ranges)
Trading Time (you can limit on which days to trade)
Template Trailing Strategy (Backtester)💭 Overview
💢 What is the "Template Trailing Strategy” ❓
The "Template Trailing Strategy" (TTS) is a back-tester orchestration framework. It supercharges the implementation-test-evaluation lifecycle of new trading strategies, by making it possible to plug in your own trading idea.
While TTS offers a vast number of configuration settings, it primarily allows the trader to:
Test and evaluate your own trading logic that is described in terms of entry, exit, and cancellation conditions.
Define the entry and exit order types as well as their target prices when the limit, stop, or stop-limit order types are used.
Utilize a variety of options regarding the placement of the stop-loss and take-profit target(s) prices and support for well-known techniques like moving to breakeven and trailing.
Provide well-known quantity calculation methods to properly handle risk management and easily evaluate trading strategies and compare them.
Alert on each trading event or any related change through a robust and fully customizable messaging system.
All the above, build a robust tool that, once learned, significant and repetitive work that strategy developers often implement individually on every strategy script is eliminated. Taking advantage of TradingView’s built-in backtesting engine the evaluation of the trading ideas feels natural.
By utilizing the TTS one can easily swap “trading logic” by testing, evaluating, and comparing each trading idea and/or individual component of a strategy.
Finally, TTS, through its per-event alert management (and debugging) system, provides a fully automated solution that supports automated trading with real brokers via webhooks.
NOTE: The “Template Trailing Strategy” does not dictate the way you can combine different (types of) indicators or how you should combine them. Thus, it should not be confused as a “Trading System”, because it gives its user full flexibility on that end (for better or worse).
💢 What is a “Signal Indicator” ❓
“Signal Indicator” (SI) is an indicator that can output a “signal” that follows a specific convention so that the “Template Trailing Strategy” can “understand” and execute the orders accordingly. The SI realizes the core trading logic signaling to the TTS when to enter, exit, or cancel an order. A SI instructs the TTS “when” to enter or exit, and the TTS determines “how” to enter and exit the position once the Signal Indicator generates a signal.
A very simple example of a Signal Indicator might be a 200-day Simple Moving Average Signal. When the price of the security closes above the 200-day SMA, a SI would provide TTS with a “long entry signal”. Once TTS receives the “long entry signal”, the TTS will open a long position and send an alert or automated trade message via webhook to a broker, based on the Entry settings defined in TTS. If the TTS Entry settings specify a “Market” order type, then the open long position will be executed by TTS immediately. But if the TTS Entry settings specify a “Stop” order type with a 1% Stop Distance, then when the price of the security rises by 1% after the “long entry signal” occurs, the TTS will open a long position and the Long Entry alert or webhook to the broker will be sent.
🤔 How to Guide
💢 How to connect a “signal” from a “Signal Indicator” ❓
The “Template Trailing Strategy” was designed to receive external signals from a “Signal Indicator”. In this way, a “new trading idea” can be developed, configured, and evaluated separately from the TTS. Similarly, the SI can be held constant, and the trading mechanics can change in the TTS settings and back-tested to answer questions such as, “Am I better with a different stop loss placement method, what if I used a limit order instead of a stop order to enter, what if I used 25% margin instead of trading spot market?”
To make that possible by connecting an external signal indicator to TTS, you should:
Add in the same chart, the “Signal Indicator” of your choice (e.g. “Two MA Signal Indicator” , “Click Signal Indicator” , “Signal Adapter” , “Signal Composer” ) and the “Template Trailing Strategy”.
Go to the “Settings/Inputs” tab in the “🛠️ STRATEGY” group of the TTS and change the "𝐃𝐞𝐚𝐥 𝐂𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐬 𝐌𝐨𝐝𝐞" to “🔨External”
Go to the “🔨 STRATEGY – EXTERNAL” group settings of the TTS and change the “🔌𝐒𝐢𝐠𝐧𝐚𝐥 🛈➡” to the output signal of the “Signal Indicator” you want to connect. The selected combo box option should look like “:🔌Signal to TTS” where should correspond to the short title of your “Signal Indicator”
💢 How to create a Custom Trading logic ❓
The “Template Trailing Strategy” provides two ways to plug in your custom trading logic. Both of them have their advantages and disadvantages.
✍️ Develop your own Customized “Signal Indicator” 💥
The first approach is meant to be used for relatively more complex trading logic. The advantages of this approach are the full control and customization you have over the trading logic and the relatively simple configuration setup by having two scripts only. The downsides are that you have to have some experience with pinescript or you are willing to learn and experiment. You should also know the exact formula for every indicator you will use since you have to write it by yourself. Copy-pasting from existing open-source indicators will get you started quite fast though.
The idea here is either to create a new indicator script from scratch or to copy an existing non-signal indicator and make it a “Signal Indicator”. To create a new script, press the “Pine Editor” button below the chart to open the “Pine Editor” and then press the “Open” button to open the drop-down menu with the templates. Select the “New Indicator” option. Add it to your chart to copy an existing indicator and press the source code {} button. Its source code will be shown in the “Pine Editor” with a warning on top stating that this is a read-only script. Press the “create a working copy”. Now you can give a descriptive title and a short title to your script, and you can work on (or copy-paste) the (other) indicators of your interest. Having all the information needed to make your decision the only thing you should do is define a DealConditions object and plot it like this:
import jason5480/tts_convention/4 as conv
// Calculate the start, end, cancel start, cancel end conditions
dealConditions = conv.DealConditions.new(
startLongDeal = ,
startShortDeal = ,
endLongDeal = ,
endShortDeal = ,
cnlStartLongDeal = ,
cnlStartShortDeal = ,
cnlEndLongDeal = ,
cnlEndShortDeal = )
// Use this signal in scripts like "Template Trailing Strategy" and "Signal Composer" that can use its value
// Emit the current signal value according to the "two channels mod div" convention
plot(series = conv.getSignal(dealConditions), title = '🔌Signal to TTS', color = color.olive, display = display.data_window + display.status_line, precision = 0)
You should write your deal conditions appropriately based on your trading logic and put them in the code section shown above by replacing the “…” part after “=”. You can omit the conditions that are not relevant to your logic. For example, if you use only market orders for entering and exiting your positions the cnlStartLongDeal, cnlStartShortDeal, cnlEndLongDeal, and cnlEndShortDeal are irrelevant to your case and can be safely omitted from the DealConditions object. After successfully compiling your new custom SI script add it to the same chart with the TTS by pressing the “Add to chart” button. If all goes well, you will be able to connect your “signal” to the TTS as described in the “How to connect a “signal” from a “Signal Indicator”?” guide.
🧩 Adapt and Combine existing non-signal indicators 💥
The second approach is meant to be used for relatively simple trading logic. The advantages of this approach are the lack of pine script and coding experience needed and the fact that it can be used with closed-source indicators as long as the decision-making part is displayed as a line in the chart. The drawback is that you have to have a subscription that supports the “indicator on indicator” feature so you can connect the output of one indicator as an input to another indicator. Please check if your plan supports that feature here
To plug in your own logic that way you have to add your indicator(s) of preference in the chart and then add the “Signal Adapter” script in the same chart as well. This script is a “Signal Indicator” that can be used as a proxy to define your custom logic in the CONDITIONS group of the “Settings/Inputs” tab after defining your inputs from your preferred indicators in the VARIABLES group. Then a “signal” will be produced, if your logic is simple enough it can be directly connected to the TTS that is also added to the same chart for execution. Check the “How to connect a “signal” from a “Signal Indicator”?” in the “🤔 How to Guide“ for more information.
If your logic is slightly more complicated, you can add a second “Signal Adapter” in your chart. Then you should add the “Signal Composer” in the same chart, go to the SIGNALS group of the “Settings/Inputs” tab, and connect the “signals” from the “Signal Adapters”. “Signal Composer” is also a SI so its composed “signal” can be connected to the TTS the same way it is described in the “How to connect a “signal” from a “Signal Indicator”?” guide.
At this point, due to the composability of the framework, you can add an arbitrary number (bounded by your subscription of course) of “Signal Adapters” and “Signal Composers” before connecting the final “signal” to the TTS.
💢 How to set up ⏰Alerts ❓
The “Template Trailing Strategy” provides a fully customizable per-even alert mechanism. This means that you may have an entirely different message for entering and exiting into a position, hitting a stop-loss or a take-profit target, changing trailing targets, etc. There are no restrictions, and this gives you great flexibility.
First of all, you have to enable the alerts of the events that interest you. Go to the “🔔 ALERT MESSAGES” module of the TTS settings and check the “Enable…” checkbox of the events you are interested in. For each specific event, you will find a text area where you can type the exact message you want to receive when the event occurs. What’s more, there are placeholders you can use that will be replaced by the TTS with the actual values before the message is sent. The placeholder categories are the following and the placeholder names are self-explanatory.
Chart info: {{ticker}}, {{base_currency}}, {{quote_currency}}
Quantities and percentages: {{base_quantity}}, {{quote_quantity}}, {{quote_quantity_perc}},
{{take_profit_base_quantity}}, {{remaining_quantity_perc}}, {{remaining_base_quantity}}, {{risk_perc}}
Target prices: {{stop_loss_price}}, {{entry_price}}, {{entry+_price}}, {{entry-_price}},
{{exit_price}}, {{exit+_price}}, {{exit-_price}}, {{take_profit_price_1}},
{{take_profit_price_2}}, {{take_profit_price_3}}, {{take_profit_price_4}}, {{take_profit_price_5}}
❗ To get the message on the other side you have to set a strategy alert as described here and use the {{strategy.order.alert_message}} placeholder as text in the “Message Box” that contains the message that came from the TTS.
💢 How to execute my orders in a broker ❓
To execute your orders in a broker that supports webhook integration, you should enable the appropriate alerts in the “Template Trailing Strategy” first (see the “How to set up Alerts?” guide above). Then you should go to the “Create Alert/Notifications” tab check the “Webhook URL” and paste the URL provided by your broker. You have to read the documentation of your broker for more information on what messages are expected.
Keep in mind that some brokers have deep integration with TradingView so a per-event alert approach might be overkill.
📑 Definitions
This section tries to give some definitions in terms that appear in the “Settings/Inputs" tab of the “Template Trailing Strategy”
💢 What is Trailing ❓
Trailing is a technique where a price target follows another “barrier” price (usually high or low) by trying to keep a maximum distance from the “barrier” when it moves in only one direction (up or down). When the “barrier” moves in the other direction the price target will not change. There are as many types of trailing as price targets, which means that there are entry trailing, exit trailing, stop-loss trailing, and take-profit trailing techniques.
💢 What is a Moonbag ❓
A Moonbag in a trade is the quantity of the position that is reserved and will not be exited even if all take-profit targets defined in the strategy are hit, the quantity will be exited only if the stop-loss is hit or a close signal is received. This makes the stop-loss trailing technique in a trend-following strategy a good candidate to take advantage of a Moonbag.
💢 What is Distance ❓
Distance is the difference between two prices.
💢 What is Bias ❓
Bias is a psychological phenomenon where you make decisions based on market sentiment. For example, when you want to enter a long position you have a long bias, and when you want to exit from the long position you have a short bias. It is the other way around for the short position.
💢 What is the Margin Distance of a price target ❓
The Margin Distance of a price target is the distance that the target will deviate from its initial price. The direction of this deviation depends on the bias of the market. For example, suppose you are in a long position, and you set a take-profit target to the local high (HHLL). In that case, adding a margin of five ticks will place your take-profit target 5 ticks below this local high because you have a short bias when exiting a long position. When the bias is long the margin will be added resulting in a higher target price and when you have a short bias the margin will be subtracted.
⚙️ Settings
In the “Settings/Inputs” tab of the “Template Trailing Strategy”, you can find all the customizable settings that are provided by the framework. The variety of those settings is vast; hence we will only scratch the surface here. However, for every setting, there is an information icon 🛈 where you can learn more if you mouse over it. The “Settings/Inputs” tab is divided into ten main groups. Each one of them is responsible for one module of the framework. Every setting is part of a group that is named after the module it represents. So, to spot the module of a setting find the title that appears above it comes with an emoji and uppercase letters. Some settings might have the same name but belong to different modules e.g. “Distance Method”. Some settings are indented, which means that are closely related to the non-indented setting above. Usually, intended settings provide further configuration for one or more options of the non-intended setting. The groups that correspond to each module of the framework are the following:
📆 FILTERS
In this module time filters are implemented. You can define a DateTime window for your strategy to run. You can also specify a session by selecting the days of the week and the time range you want to operate.
🛠️ STRATEGY
This module contains the "𝐃𝐞𝐚𝐥 𝐂𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐬 𝐌𝐨𝐝𝐞" that defines if the “Template Trailing Strategy” will operate using the Internal or the External (“Signal Indicator”) conditions. Some general settings can be applied regardless of the mode.
🔨 STRATEGY – EXTERNAL
This sub-module makes the connection between the external signal of the “Signal Indicator” and the “Template Trailing Strategy”. It takes effect only if the "𝐃𝐞𝐚𝐥 𝐂𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐬 𝐌𝐨𝐝𝐞" is set to “🔨External”.
🔧 STRATEGY – INTERNAL
This sub-module defines the internal strategy logic and it's used as an example to demonstrate this framework. It should produce the same results as if the “Two MA Signal Indicator” was used as a “signal” in external mode. It takes effect only if the "𝐃𝐞𝐚𝐥 𝐂𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐬 𝐌𝐨𝐝𝐞" is set to “🔧Internal”.
🎢 VOLATILITY
This module defines the volatility parameters that are used in various other settings like average true range and standard deviation. It also makes it clear whether their values are updated during a trade (DYNAMIC) or not (STATIC).
🔷 ENTRY
This module defines how the start deal conditions will be executed by defining the order type of your entry and all necessary parameters to execute them.
🎯 TAKE PROFIT
This module defines the take-profit targets placement logic. The number of the take-profit targets to use, their distance from the entry price, and the distance from each other are only some of the features that can be configured.
🛑 STOP LOSS
This module defines the stop-loss target placement logic. The distance from the entry price, move to break even, and start trailing after a take-profit target is hit are only some of the features that can be configured.
🟪 EXIT
This module defines how the end deal conditions will be executed by defining the order type of your exit and all necessary parameters to execute them.
💰 QUANTITY/RISK MANAGEMENT
This module defines the method that calculates the amount of money you will put into each trade. Also, the percentage of the Moonbag quantity can be configured.
📊 ANALYTICS
This module can visualize some extra analytics of the strategy in the chart and calculate some metrics to measure the overall performance.
🔔 ALERT MESSAGES
This module defines all the messages that can be emitted per event during the strategy execution.
😲 Caveats
💢 Does “Template Trailing Strategy” has a repainting behavior ❓
The answer is that the “Template Trailing Strategy” does not repaint as long as the “Signal Indicator” that is connected also does not repaint. If you developed your own SI make sure that you understand and know how to prevent this behavior. The publication by @PineCoders here will give you a good idea on how to avoid most of the repainting cases.
⚠️There is an exception though, when the “Enable Trail⚠️💹” checkbox is checked, the Take Profit trailing feature is enabled, and a tick-based approach is used, meaning that after a while, when the TradingView discards all the real-time data, assumptions will be made by the backtesting engine that will cause a form of repainting. To avoid making false assumptions please disable this feature in the early stages and evaluate its usefulness in your strategy later on, after first confirming the success of the logic without this feature. In this case, consider turning on the bar magnifier feature. This way you will get more accurate backtest results when the Take Profit trailing feature is enabled.
💢 Can “Template Trailing Strategy” satisfy all my trading strategies ❓
While this framework can satisfy quite a large number of trading strategies there are cases where it cannot do so. For example, if you have a custom logic for your stop-loss or take-profit placement, or if you want to dollar cost average, then it might be better to start a new strategy script from scratch.
⚠️ It is not recommended to copy the official TTS code and start developing unless you are a pine wizard! Even in that case, there is a stiff learning curve that might not be worth your time. Last, you must consider that I do not offer support for customized versions of the TTS script and if something goes wrong in the process you are all alone.
🤗 Thanks
Special thanks to @upslidedown and @metadimensional, who regularly gave feedback all those years and helped me to shape the framework as it is today! Thanks to @EltAlt, @PlusUltraTrading, and everyone else who contributed by either filing a “defect report” or asking questions that helped me to understand what improvements were necessary.
Enjoy!
Jason
DMI (Multi timeframe) DI Strategy [KL]Directional Movement Index Strategy
Entry conditions:
- (a) when DI+ > DI- on timeframe #1, and
- (b) Confirmation: when DI+ > DI- on timeframe #2
In the shown example, timeframe1 was same as the chart (1H) and timeframe2 was 1D.
Stop Loss: ATR based trailing stop
About DMI
Can refer to Investopedia for general understanding.
Applications of DMI in this strategy:
- Assumes uptrend when DI+ is above DI- (when green DI+ lines above red DI-), vice versa for downtrend. This is checked in two different timeframes that can be set by user in settings.
- DX is ignored, it doesn't give a direction of the trend. But if DX was applied, it would be a good indicator for quantifying the strength of uptrend/downtrend. This measurement would typically be read along a threshold (i.e. if below 20, then market is likely consolidating). All of these have been commented out (ignored by pinescript's interpreter via //) in the codes, as said; we are not using DX for sake of simplicity.
Visualizations
To make the chart look cleaner, DMI plots have been simplified to just down/up arrows placed at bottom of the chart.
Referring to the example chart:
- Green arrows : when DI+ > DI- for both timeframes, implies uptrend
- Red arrows: other way around (DI+ < DI-), implies downtrend
LPB MicroCycles StrategyWhat it is:
We use the Hodrick-Prescott filter applied to the closing price, and then take the outputted trendline and apply a custom vwap, the time frame of which is based on user input, not the default 1 day vwap . Then we go long if the value 2 bars ago is greater then one bar ago. We sell and color the bars and lines when the if the value of 2 bars ago is less than one bar ago.
Also included:
GUI for backtesting
ATR Based Stop Loss
How to use:
Go long when the indicators suggest it, and use the stop losses to reduce risk.
Best if paired with a volatility measurement (inside candles, average true range , bollingerband%B)
Zero-Lag HMA Backtest v1.0 [loxx]This backtest compares profitability differences between a regular Hull Moving Average ( HMA ) and a Zero-Lag HMA .
Things to know:
- Profit is set to 1 ATR
- Stop-loss is set to 1.5 ATR.
- This is by design to test the minimum the profit scenario (1 ATR up) and the worst case loss scenario (1.5 ATR down) for momentum trading. Actual results vary when additional TPs are added
How to use:
- Adjust settings and dates to view different market structures and position scenarios
- See results in the "Strategy Tester" pane
Conclusions and what's next
- Modifying HMA does very little to improve backtest results
- Future iterations will include options to backtest various moving averages with additional modifiers to improve profits and avoide losses
Comment below or send a PM with questions, comments, observations, or concerns.
BBPBΔ(OBV-PVT)BB - Time Series Decomposition & Volume WeightedThis is an indicator that shows 5 different points of information:
#1 The Trendline is uses a time-series decomposition to remove noise and seasonality data to provide a trendline without using moving averages. This is then further processed by a custom VWAP block that weights it based on the time frame you're currently using.
#2 BB%B - This is the blue histogram that's partially transparent. This is used to find when a security is overbought or oversold.
#3 BB%B of the Δ(OBV-PVT). This is the green histogram. We took the OBV and subtracted the PVT from it, then we found the delta of that compared to the previous candle. This output a line, which we wrapped in bollinger bands to find the BB%B of this line. This line is represented as a histogram, for visual clarity.
#4 Long and Short Indicators: Long is represented by a green dot, and short is represented by a red dot.
#5 Zones - there are multiple zones, which are used to identify overbought and oversold zones.
How to use the indicator:
Simple way: Long on green dot, Short on red dot. Use stop losses and take profits.
Slightly More Complex: Same as above, but also close out longs, when the green histogram drops but the blue does not. As this means price action hasn't caught up with volume. Use stop losses and take profits.
Full Usage: Long only when both the green, blue and yellow lines are below 0, and sell when the blue or green histogram rises above 1. Perform the opposite for the shorting. Ignore the dots if you use this method, they are for simple reference points til you get used to this indicator. Use stop losses and take profits.
vStrat Algo 1.0 (BETA)vStrat Algo 1.0
The Very First Scalping/Intraday Trading Algo for Options
Note: If you have any favorite indicators that you use regularly and are helpful, feel free to use them in conjunction to this strategy.
Legend:
long = buy call
short = buy put
close entry = sell call/put
BULL = bullish engulfing
BEAR = bearish engulfing
OS = oversold
OB = overbought
Instructions:
1. You can choose to watch the 3 minute or 5 minute chart but be aware of the Pro’s and Con’s. It’s not recommended to use this strategy on the 1 minute chart, but this works on higher timeframes. Keep in mind that the signals will vary on each timeframe.
3 minute 5 minute
i.ibb.co i.ibb.co
2. It’s best to use this strategy right at market open. If a “long” (buy CALLS) or “short” (buy PUTS) signal was given at pre-market, I do not recommend taking it. Only take signals once the market opens. If you really wish to take the signal that was given 1-5 minutes before the market opened, you most definitely can, but its’s just riskier. What I would do is, wait 3-10 minutes after market open and if one Moving Average is respecting the other and holding above or below it, you can enter especially if the blow is bullish, the vStrat Algo 1.0 will also tell you if the candles are bearish or bullish. Use your best judgement.
i.ibb.co [
3. You do not have to wait for the exit signal, everyone's risk management is different so take profits whenever you're green or hold as long as the short-term MA is still trending above or below the long-term MA and is not touching or bouncing off it.
i.ibb.co
4. Avoid taking any signals from 11:30 AM ET - 2:30 PM ET, when stocks are trading sideways since the algo’s stop losses get triggered here due to the low volume.
i.ibb.co
5. Lastly, there is no magic indicator or strategy, this algorithm is designed based on multiple conditions. Each signal gets triggered when ALL the conditions are met. This strategy is based off advanced moving averages, one that reduces lag and responds quicker than the simple and exponential ones, RSI value, S/R, pivot points, and a few others. I’m always looking for ways to improve this scalping algorithm so rest assured any complaints or suggestions will be taken and fixed as timely as possible. For best results, avoid trading with your emotions. If you’re a new user, open a small position, set a stop loss, and let the algorithm decide how you will trade it for that day. Keep doing this until you get more familiar with the script then slowly increase your position sizing, but do not invest money you can’t afford to lose. Play with the settings, change the lengths if you wish, but the script was created to provide the most accurate signals as it is. If you do decide to change these inputs, the signals will also be different. Take profits whenever you see fit, the goal is to have a green day and grow your account slowly but surely. If you make a profit, do not risk giving your money back to the market by overtrading. Always do your own due diligence and use your best judgement. Good luck, Traders!
DISCLAIMER : All information found here, including any ideas, opinions, views, predictions, forecasts, commentaries, suggestions, or stock picks, expressed, or implied herein, are for informational, entertainment or educational purposes only and should not be construed as personal investment advice. While the information provided is believed to be accurate, it may include errors or inaccuracies. Conduct your own due diligence or consult a licensed financial advisor or broker before making any and all investment decisions. Any investments, trades, speculations, or decisions made on the basis of any information found on this site, expressed, or implied herein, are committed at your own risk, financial or otherwise.
Ultimate Tradingview Technicals Strategy [PrismBot] [Lite]Included in this builder:
MACD
RSI
Tradingview Technical Analysis
Ichimoku
Global Trend Filter
Pullback Filter
Our most robust strategy to date with MACD , RSI , and many other basic strategies included as well as additional filters and alert options.
It is an advanced trading strategy built with the intent to make it easy for anyone to begin trading, but also avoid too much complication of strategy concepts.
For instance, you can change the MACD settings to be "more sensitive" by using a simple dropdown menu, and adjust which strategy you are employing with the MACD on the fly with another.
You can easily enable and disable strategies using the checkbox.
The strategy demo results use 100% equity per trade as an example - the reason for this is that the stop loss is set to 1%, so each trade is risking 1% (give or take slippage). Slippage is set to 5 ticks, and a 0.04% commission (Binance average for market and limit orders)
This strategy incorporates a risk to reward system where the user can select between ATR and Percent based stop losses and take profit targets. This means that the user has much better control over money management when utilizing this strategy and it doesn't require you to babysit the strategy to ensure it's entering and existing strategies in an ideal place.
The status box shows the current state of the various strategies and their values. A red circle indicates the filter / strategy is not valid for entry yet. A green circle indicates that filter / strategy is valid for entry. When all selected strategies are valid simultaneously, the next bar will trigger an entry signal.
If you have any questions about this strategy, please leave them in the comments below, or DM for more details. Thanks!
Additional features in this lite strategy:
✔️ Tweak a multitude of specific settings (MA lengths, R:R, SL distance etc)
✔️ Use money management and risk calculations
✔️ Draw trade info directly to chart (eg. SL size in percent, win rate etc)
✔️ Use various filters (eg. time filter, date filter etc)
✔️ Manage risk per position
✔️ Sync to any bot or algorithmic trading system
SSP + VWMAInput menu allows you to set long / short entries using,
Net volume change from above or below zero.,
Net volume changes of positive to negative values,
VWAP rising or falling.
VWMA rising or falling
Stop loss and take profit are built in to test the most profitable strategy.
uncheck net volume in menu bar to remove background colours on chart
Uncheck VWAP and VWMAto test long and short entries ( using net volume change ) note session look back is available to edit, if use take profit is unchecked then this will simulate net volume change from positive to negative.
Check VWMA or VWAP to simulate long or short entries
With VWAP checked this will simulate VWAP entries with rising / falling VWAP with previous take profit and stop losses that we’re profitable.
Saper Aude [Strategy]Sapere Aude Strategy
Trend based scalping strategy, to work on lower timeframes (15Minute - 1 Hour)
Calculations on ATR, strategy uses extra conditions to help filter out bad trades.
How to use the strategy?
Simple as when green line shows below, that can be either a good entry point or a signal to start building limit orders on the plot.
I use the ATR as a trailing stop loss for exit.
vica versa for entering shorts. The strategy is only set up to take long positions though.
This is a great scalping strategy for bots in Ranging or up trending markets.
This scripts has 5 variations built within it which are fitted for certain coins & their timeframes
The coins included are
BTC/USDT 1 Hour
ETH/USDT 1 Hour
ADA/USDT 30 Minutes
DOGE/USDT 15 Minutes
LUNA/USDT/15 Minutes
The Strategy backtest results includes Fess and there is NO Repaint! The script is written in Version 4
There is an option in the settings cog to choose from the 5 coins and their timeframes where they have been optimised
There is also an option to change the backtesting range
The stop Losses are also adjustable and listed under the settings
The strategy performs best on the Binance listings
