Buy Sell Bot StrategyHello Everyone,
In this strategy, I benefited from the values of RSI and wave trend indicators, which are the oldest and most used indicators in the market. I contributed to this bi-valued indicator myself with a bivariate formula. My variables are actually a simple intersection algorithm, the intersection of the wave trend indicator and the RSI indicators when they are oversold or overbought.
As you all know, we can send signals to bot sites via tradingview. You can use bot signals boxes in this strategy. You can analyze past transactions in the Date settings section. In the indicator settings section, you can change the settings of the overbought and oversold zones. Perhaps the most important feature here is the USE SELL SIGNALS section. I would like to emphasize this section in particular that when you mark the use sell signal section, the strategy will be processed in the buy section and will not be processed in the sell section. If you do not click on the USE SELL SIGNALS section, the strategy will be processed in the buy section, but this time it will be exited when the target in the take profit section is reached. THIS WAS IMPORTANT.
There is another important point here. Always in position and USE SELL SIGNALS sections do not work together. Run these two features one by one. It is a strategy that is constantly in operation through the name of the Always in position feature, I do not recommend it. The USE PERCENTAGE DECREASE feature, on the other hand, is the section where we want the share to drop as a percentage to enter the second trade after the first purchase is made in the settings section if you activate the pyramiding feature. You can use the tradingview help page for the pyramiding feature.
I found this strategy suitable to use in the 1-hour time frame in the crypto market and adjusted it that way. Of course, you can use it by changing the settings in stocks and in different time periods. big wins
In den Scripts nach "algo" suchen
[Hercules] Backtest FrameworkLevel: 5
Background
Backtesting of technical indicators and strategies is the most common way to understand a quantitative strategy. However, the complicated configuration and adaptation work of backtesting many quantitative tools makes many traders who do not understand the code daunted. Moreover, although I have written a lot of strategies,
However, I am still not very satisfied with the backtest configuration and writing efficiency. Therefore, I have been thinking about how to build a backtesting framework that can quickly and easily evaluate the backtesting performance of any indicator with a "long/short entry" indicator, that is, a "simple backtesting tool for dummies". The performance requirements should be stable, and the operation should be simple and convenient. It is best to "copy", "paste", and "a few mouse clicks" to complete the quick backtest and evaluation of a new indicator.
Luckily, I recently realized that TradingView provides an "Indicator on Indicator" feature, which is the perfect foundation for doing "hot swap" backtesting. My basic idea is to use a two-layer design. The first layer is the technical indicator signal source that needs to be embedded, which is only used to provide buy and sell signals of custom strategies; the second layer is the trading system, which is used to receive the output signals of the first layer, and filter the signals according to the agreed specifications. , Take Profit, Stop Loss, draw buy and sell signals and cost lines, define and send custom buy and sell alert messages to mobile phones, social software or trading interfaces. In general, this two-layer design is a flexible combination of "fixed and flexiable", which can meet the needs of most traders to quickly evaluate the performance of a certain technical indicator. The first layer here is flexible. Users can insert their own strategy codes according to my template, and they can draw buy and sell signals and output them to the second layer. The second layer is fixed, and the overall framework is solidified to ensure the stability and unity of the trading system. It is convenient to compare different or similar strategies under the same conditions. Finally, all trading signals are drawn on the chart, and the output strategy returns. test report.
The main function:
The first layer: "{Hercules/Sextan} Your Indicator Source", the script provides a template for personalized strategy input, and the signal and definition interfaces ensure full compatibility with the second layer. Backtesting is performed stably in the backtesting framework of the layer. The first layer of this script is also relatively simple: enter your script in the highlighted custom script area, and after ensuring the final buy and sell signals long = bool condition, short = bool condition, the design of the first layer is considered complete. Input it into the PINE script editor of TradingView, save it and add it to the chart, you can see the pulse sequence in yellow (buy) and purple (sell) on the sub-picture, corresponding to the main picture, you can subjectively judge that the quality of the trading point of the strategy is good Bad.
The second layer: "{Hercules} Backtest Framework". This script is the standardized trading system strategy execution and alarm, used to generate the final report of the strategy backtest and some key indicators that I have customized that I find useful, such as: winning rate , Odds, Winning Surface, Kelly Ratio, Take Profit and Stop Loss Thresholds, Trading Frequency, etc. are evaluated according to the Kelly formula. To use the second layer, first load it into the TrainingView chart, no markers will appear on the chart, since you have not specified any strategy source signals, click on the gear-shaped setting next to the "{Hercules} BTFW" header button, you can open the backtest settings, the first item is to select your custom strategy source. Because we have added the strategy source to the chart in the previous step, you can easily find an option "{Hercules/Sextan} Your Indicator Source: Signal" at the bottom of the list, this is the strategy source input we need, select and confirm , you can see various markers on the main graph, and quickly generate a backtesting profit graph and a list of backtesting reports. You can generate files and download the backtesting reports locally. You can also click the gear on the backtest chart interface to customize some conditions of the backtest, including: initial capital amount, currency type, percentage of each order placed, amount of pyramid additions, commission fees, slippage, etc. configuration. Note: The configuration in the interface dialog overrides the same configuration implemented by the code in the backtest script.
How to output charts:
The first layer: "{Hercules/Sextan} Your Indicator Source", the output of this script is the pulse value of yellow and purple, yellow +1 means buy, purple -1 means sell.
The second layer: Hercules Backtest Framework". The output of this script is a bit complicated. After all, it is the entire trading system with a lot of information:
1. Blue and red arrows. The blue upward arrow indicates long position, the red downward arrow indicates short position, and the horizontal bar at the end of the purple arrow indicates take profit or stop loss exit.
2. Red and green lines. This is the holding cost line of the strategy, green represents the cost of holding a long position, and red represents the cost of holding a short position. The cost line is a continuous solid line and the price action is relatively close.
3. Green and yellow long take profit and stop loss area and green and yellow long take profit and stop loss fork. Once a long position is held, there is a conditional order for take profit and stop loss. The green horizontal line is the long take profit ratio line, and the yellow is the long stop loss ratio line; the green cross indicates the long take profit price, and the yellow cross indicates the long position. Stop loss price. It's worth noting that the prongs and wires don't necessarily go together. Because of the optimization of the algorithm, for a strong market, the take profit will occur after breaking the take profit line, and the profit will not be taken until the price falls.
4. The purple and red short take profit and stop loss area and the purple red short stop loss fork. Once a short position is held, there will be a take profit and stop loss conditional order, the red is the short take profit ratio line, and the purple is the short stop loss ratio line; the red cross indicates the short take profit price, and the purple cross indicates the short stop loss price.
5. In addition to the above signs, there are also text and numbers indicating the profit and loss values of long and short positions. "L" means long; "S" means short; "XL" means close long; "XS" means close short.
TradingView Strategy Tester Panel:
The overview graph is an intuitive graph that plots the blue (gain) and red (loss) curves of all backtest periods together, and notes: the absolute value and percentage of net profit, the number of all closed positions, the winning percentage, the profit factor, The maximum trading loss, the absolute value and ratio of the average trading profit and loss, and the average number of K-lines held in all trades.
Another is the performance summary. This is to display all long and short statistical indicators of backtesting in the form of a list, such as: net profit, gross profit, Sharpe ratio, maximum position, commission, times of profit and loss, etc.
Finally, the transaction list is a table indexed by the transaction serial number, showing the signal direction, date and time, price, profit and loss, accumulated profit and loss, maximum transaction profit, transaction loss and other values.
Remarks
Finally, I will explain that this is just the beginning of this model. I will continue to optimize the trading system of the second layer. Various optimization feedback and suggestions are welcome. For valuable feedback, I am willing to provide some L4/L5 technical indicators as rewards for free subscription rights.
Subscription
To encourage more people use this framework and avoid some abuse this one, I would like to set
100 Tradingview Coins per Monthly Subscription.
100X10 Tradingview Coins per Yearly Subscription.
[Sextan] PINEv4 Sextans Backtest FrameworkLevel: 5
Background
Backtesting of technical indicators and strategies is the most common way to understand a quantitative strategy. However, the complicated configuration and adaptation work of backtesting many quantitative tools makes many traders who do not understand the code daunted. Moreover, although I have written a lot of strategies,
However, I am still not very satisfied with the backtest configuration and writing efficiency. Therefore, I have been thinking about how to build a backtesting framework that can quickly and easily evaluate the backtesting performance of any indicator with a "long/short entry" indicator, that is, a "simple backtesting tool for dummies". The performance requirements should be stable, and the operation should be simple and convenient. It is best to "copy", "paste", and "a few mouse clicks" to complete the quick backtest and evaluation of a new indicator.
Luckily, I recently realized that TradingView provides an "Indicator on Indicator" feature, which is the perfect foundation for doing "hot swap" backtesting. My basic idea is to use a two-layer design. The first layer is the technical indicator signal source that needs to be embedded, which is only used to provide buy and sell signals of custom strategies; the second layer is the trading system, which is used to receive the output signals of the first layer, and filter the signals according to the agreed specifications. , Take Profit, Stop Loss, draw buy and sell signals and cost lines, define and send custom buy and sell alert messages to mobile phones, social software or trading interfaces. In general, this two-layer design is a flexible combination of "fixed and flexiable", which can meet the needs of most traders to quickly evaluate the performance of a certain technical indicator. The first layer here is flexible. Users can insert their own strategy codes according to my template, and they can draw buy and sell signals and output them to the second layer. The second layer is fixed, and the overall framework is solidified to ensure the stability and unity of the trading system. It is convenient to compare different or similar strategies under the same conditions. Finally, all trading signals are drawn on the chart, and the output strategy returns. test report.
The main function:
The first layer: "{Sextan} Your Indicator Source", the script provides a template for personalized strategy input, and the signal and definition interfaces ensure full compatibility with the second layer. Backtesting is performed stably in the backtesting framework of the layer. The first layer of this script is also relatively simple: enter your script in the highlighted custom script area, and after ensuring the final buy and sell signals long = bool condition, short = bool condition, the design of the first layer is considered complete. Input it into the PINE script editor of TradingView, save it and add it to the chart, you can see the pulse sequence in yellow (buy) and purple (sell) on the sub-picture, corresponding to the main picture, you can subjectively judge that the quality of the trading point of the strategy is good Bad.
The second layer: "{Sextan} PINEv4 Sextans Backtest Framework". This script is the standardized trading system strategy execution and alarm, used to generate the final report of the strategy backtest and some key indicators that I have customized that I find useful, such as: winning rate , Odds, Winning Surface, Kelly Ratio, Take Profit and Stop Loss Thresholds, Trading Frequency, etc. are evaluated according to the Kelly formula. To use the second layer, first load it into the TrainingView chart, no markers will appear on the chart, since you have not specified any strategy source signals, click on the gear-shaped setting next to the "{Sextan} PINEv4 Sextans BTFW" header button, you can open the backtest settings, the first item is to select your custom strategy source. Because we have added the strategy source to the chart in the previous step, you can easily find an option "{Sextan} Your Indicator Source: Signal" at the bottom of the list, this is the strategy source input we need, select and confirm , you can see various markers on the main graph, and quickly generate a backtesting profit graph and a list of backtesting reports. You can generate files and download the backtesting reports locally. You can also click the gear on the backtest chart interface to customize some conditions of the backtest, including: initial capital amount, currency type, percentage of each order placed, amount of pyramid additions, commission fees, slippage, etc. configuration. Note: The configuration in the interface dialog overrides the same configuration implemented by the code in the backtest script.
How to output charts:
The first layer: "{Sextan} Your Indicator Source", the output of this script is the pulse value of yellow and purple, yellow +1 means buy, purple -1 means sell.
The second layer: PINEv4 Sextans Backtest Framework". The output of this script is a bit complicated. After all, it is the entire trading system with a lot of information:
1. Blue and red arrows. The blue upward arrow indicates long position, the red downward arrow indicates short position, and the horizontal bar at the end of the purple arrow indicates take profit or stop loss exit.
2. Red and green lines. This is the holding cost line of the strategy, green represents the cost of holding a long position, and red represents the cost of holding a short position. The cost line is a continuous solid line and the price action is relatively close.
3. Green and yellow long take profit and stop loss area and green and yellow long take profit and stop loss fork. Once a long position is held, there is a conditional order for take profit and stop loss. The green horizontal line is the long take profit ratio line, and the yellow is the long stop loss ratio line; the green cross indicates the long take profit price, and the yellow cross indicates the long position. Stop loss price. It's worth noting that the prongs and wires don't necessarily go together. Because of the optimization of the algorithm, for a strong market, the take profit will occur after breaking the take profit line, and the profit will not be taken until the price falls.
4. The purple and red short take profit and stop loss area and the purple red short stop loss fork. Once a short position is held, there will be a take profit and stop loss conditional order, the red is the short take profit ratio line, and the purple is the short stop loss ratio line; the red cross indicates the short take profit price, and the purple cross indicates the short stop loss price.
5. In addition to the above signs, there are also text and numbers indicating the profit and loss values of long and short positions. "L" means long; "S" means short; "XL" means close long; "XS" means close short.
TradingView Strategy Tester Panel:
The overview graph is an intuitive graph that plots the blue (gain) and red (loss) curves of all backtest periods together, and notes: the absolute value and percentage of net profit, the number of all closed positions, the winning percentage, the profit factor, The maximum trading loss, the absolute value and ratio of the average trading profit and loss, and the average number of K-lines held in all trades.
Another is the performance summary. This is to display all long and short statistical indicators of backtesting in the form of a list, such as: net profit, gross profit, Sharpe ratio, maximum position, commission, times of profit and loss, etc.
Finally, the transaction list is a table indexed by the transaction serial number, showing the signal direction, date and time, price, profit and loss, accumulated profit and loss, maximum transaction profit, transaction loss and other values.
Remarks
Finally, I will explain that this is just the beginning of this model. I will continue to optimize the trading system of the second layer. Various optimization feedback and suggestions are welcome. For valuable feedback, I am willing to provide some L4/L5 technical indicators as rewards for free subscription rights.
Subscription
To encourage more people use this framework and avoid some abuse this one, I would like to set
100 Tradingview Coins per Monthly Subscription.
100X10 Tradingview Coins per Yearly Subscription.
Portfolio Performance - Effects of RebalancingFunction:
- Can be used to evaluate the performance of a portfolio containing 2 assets over a set time interval
- Shows the % return of the portfolio over the time interval defined by the user
- Includes a threshold rebalancing algorithm to show the effects that rebalancing has on the portfolio over the long term
- Created to evaluate of the performance of portfolios containing different weightings of stocks and bonds over time assuming that the user would rebalance the portfolio when asset weights crossed a threshold
Instructions:
- To be used with dividends adjustments turned on
- Add this script to a symbol. e.g. AMEX:SPY
- Click the chart to define the entry time and the exit time. i.e. the time interval
- Define the initial investment of the portfolio. Default setting is $100,000
- Define the second asset to be included in the portfolio. e.g. BATS:AGG
- The strategy comes pre-populated with a portfolio that has a weight of 80% asset 1 and 20% asset 2. i.e. 80% AMEX:SPY and 20% BATS:AGG if the symbols mentioned above were chosen
- The 7 lines show the weighted % return of each portfolio over the time period defined by the user
- Each line (except the blue) is the return based on a different rebalancing threshold. The default settings are 1%, 2.5%, 5%, 10%, 15%, 20%, 30%
- The blue line is the % return of a portfolio that was made up of 100% asset 1 over the time interval. i.e. 100% AMEX:SPY
- Asset weights and rebalancing thresholds are adjustable via the settings
- Each plot can be turned on and turned off via a tick box in the settings
Ridicoulous Algo v1We present you a newly developed Indicator!
In this strategy we use a combination of two setups to catch the highs and lows and follow the right direction at all times. We also take data from the price action from a second source, which can be chosen in the dropdown menu or via plain text (Cryptocap:BTC, Cryptocap:BTC.D etc).
The oscillator is based on a baseline of 50, where below 50 is bearish and above 50 is bullish. The signal itself is filtered by an EMA so we don't get sell signals in uptrend and vice versa. The data from the second source gets represented as a channel so we can print it like an oscillator. The take profit/stop loss is chosen with an amount in %. The signal line is a mix of the SMA and the EMA.
The backtest result shown is simulated with using 20% of the capital and a 5x leverage trading Avax Futures on Binance.
Please be aware that past results are no guarantee for future performance!
The alarms come as an AiO (All in one) alarm with SL and TP's that can be predefined.
With the right setup you can easily create very strong strategies on many different pairs!
And we are here to help you find them...
Here are some setups we actually got
prnt.sc Cotiusdtperp
prnt.sc BTCusdtperp
prnt.sc ETHusdtperp
prnt.sc BTCPERP
prnt.sc LTCUSDTPERP
Please be aware that past results are no guarantee for future performance!
B.Bands | Augmented | Intra-range | Long-OnlyHere you have the essential trading engine based on Bollinger Bands .
The idea behind is to trade the intra-range of the bands.
How is going to work?
Define which Bollinger Bands we want to use. Classic Bollinger Bands or Augmented Bollinger Bands . Without selecting, the algorithm doesn't show a strategy.
Define the length of the Moving Average and the Standard Deviation by default the classic 20-2.
Define the Bollinger Bands Spread Max Range (Upper-Lower) to be able to determine wheter or not you're in a price range or potential breakout.
Define data source to trigger exit and entry points.
Define profit based on Middle Band or Opposite Band.
Define Stop Loss % and activate Trailing Stop if desired with the percentage required.
Determine if you want to sell only on profit after triggering the entry signal. * Note Stop Loss remains activated.
Choose a date range if you want to study a specific period.
Bear in mind, this is the essential trading engine, open for you to test, try and improve under your requirements. You can determinate when is the ideal market to implement it based on many other indicators. Maybe you wish to change the stop loss settings for ATR, previous low, etc. Totally up to you.
Note the script comes with initial capital, fee % and slippage by deault. This may change for your assets. Make sure you define it in advance.
NOTE: If you trade assets such BTC, you must update the initial capital. By default 5000 (USD) The script doesn't support fraction trading such 0.01BTC.
Will be updated on next version.
Feel free to get in touch if you've got any question.
V0.0_StochRSI_ANGTEST 2, en busca de algo nuevo que pueda encontrar puntos de entrada de compra y venta al 1%
QaSH DCA DaytraderThis script takes advantage of the power of DCA implemented in the QaSH DCA Algorithm script, and it applies it to new entry conditions. A "Quickfingers Luc" mode has been added, which creates new entry orders whenever a level of support has been identified. If price breaks the support level and quickly drops down, the orders will already be in place to catch the dip. This method can even catch the 1-second long, 50% flash dips that occur in some exchanges.
Four entry conditions are included in this initial release : ASAP, Quickfingers Luc, Bullish Pivot point, and Bearish Pivot point
All order placements are customizable
All take profit % values are based on the average entry price
Take profit % values can change based on how big the price dip was
Entry condition filter has been added and it uses a variable timeframe EMA
Stoploss function is available
Order size can be sent in the alerts, which allows for multiple setups to be running simultaneously in one account
All alerts are sent using the new "Any alert() function call" feature, which means this indicator will only take up one alert slot to cover all entry and exit alerts
Settings advice:
- If you think price is inflated, try conservative settings that either use a stoploss and EMA filter, or no stoploss but have some of your orders placed far below the current price with increasing volume. In a bear market this will beat the buy and hold.
- If you think the market is ready for a new bull run, then try experimenting with very aggressive settings to beat the buy and hold. For example: ASAP mode with 3 layers turned on. Orders placed at 0.5%, 3%, and 5%. Volumes at 30%, 30%, and 40% respectively. No stoploss. These settings were tested on ETH and beat the buy and hold during an extreme bull market period.
Dagger V1 strategyThe "Dagger V1 strategy" strategy is used for the backtest of the "Dagger V1 indicator & alerter" indicator. Their algorithm is identical. Further, all descriptions of the settings are the same for the strategy and the indicator.
Dagger is used for trading on the cryptocurrency spot market, but it can also be used for any other fairly volatile pairs.
Dagger shows the best results on the H1 timeframe, but you can experiment with other timeframes.
The logic of Dagger's work is based on the search for the optimal entry point into the market and the best moment to close a deal. Stochastic oscillator and exponential moving EMA are used for this. Also, the exit from the transaction can be optimized using several parameters.
The strategy can use trailing up to one or more red bars in order not to miss the sharp growth of the currency.
HT + RSI Pullback by @DaviddTechThis strategy uses the HT algo and the RSI.
The HT is used to find the global trend and RSI on a length of 2 to find pullbacks.
Long Positions :
* HT is in the blue.
* RSI on length 2 goes in to oversold < 10
* Trigger candle closes higher that the high of the previous candle.
Short Positions :
* HT is in the red.
* RSI on length 2 goes in to overbrough > 90
* Trigger candle closes lower that the low of the previous candle.
Stop loss is the swing low or high.
TP Short :
* The RSI moves back down below the 10
TP Long
* The RSI moves back up above the 90
WARNING:
- For purpose educate only - My mission is to debunk fake strategies with code to find THE ONE.
- Plots EMAs and other values on chart.
- This script to change bars colors.
If you have any questions or feedback, please let me know in the comments.
SQZ Multiframe StrategyThis is a first attempt to automate what my current strategy when trading is.
It uses 2 timeframes: the one you are currently using to see the chart and an "anchor trend" which is a higher order frame.
Supported timeframes are: 1m, 5m, 15m, 30m, 1H, 4H, 1D, 1W
The Strategy relies on two indicators:
Squeeze Momentum Indicator
CMF
How does it works?
It looks for a moment when the following conditions are met.
For Long:
Positive directionality in SQZM monitor in anchor timeframe
Positive directionality in SQZM monitor in current timeframe
Recent minimum in CMF
For Short:
Negative directionality in SQZM monitor in anchor timeframe
Negative directionality in SQZM monitor in current timeframe
Recent maximum in CMF
After a BUY or SELL order is executed the plot will start showing two lines: A TP line, and a SL line.
The TP and SL move dynamically based on a greedy algorithm based on 3 input parameters.
Min Profit to Start Moving SL (%): Sets an initial target for the trade.
Maximum Possible of SL (%): This is the maximum amount possible for SL. If volatility is not too high, a shorter SL will be chosen based on Kaufman's Stops method
Take profit factor: Is how much portion of the target I am taking as profit once the target is reached
Example for 5% Min profit:
When the first target is reached (+5%), the SL will be updated to 2.5% over the enter price.
When the second target is reached (+10%), the SL will be updated to 5% over the enter price.
Note: The strategy might abandon the position prematurely if a contrary signal is received while the trade is opened, and will change direction.
The Strategy has been backtested mostly for crypto. It might be good for stocks too, but the parameters mentioned might need some adjustments since price moves at a different rate.
Recommended timeframe is 4H for BTC , and 30min/1H for alts.
Comments and ideas are more than welcome!
SMA-Extendido-Estrategia por NeilDescription:
Strategy that identifies entry and exit operations, using 3 moving averages and 5 strategies. New strategies are implemented such as the prediction of closing operations, independent of the events that justify entry operations.
How does it work:
1) Long strategy: if SMA5 crosses up to SMA200 and SMA200 is bullish, a buy operation begins, if SMA5 crosses down to SMA200 and SMA200 is bearish, a sale begins.
2) Short strategy with smooth filtering of operations: if SMA5 crosses up to SMA20 and SMA20 is bullish and (SMA5 are above SMA200) a buy operation is initiated. If SMA5 crosses down to SMA20 and SMA20 is bearish and (SMA5 are below SMA200) a sell trade is initiated
3) Short strategy with strong filtering of operations: if SMA5 crosses up to SMA20 and SMA20 is bullish and (SMA5 and SMA20 are above SMA200 and SMA200 is bullish) a buy is initiated, in other words, buy operations occur only if SMA5 and SMA20 are above SMA200; if SMA5 crosses down to SMA20 and SMA20 is bearish and (SMA5 and SMA20 are below SMA200 and SMA200 is bearish) a sell is initiated, that is, sell operations occur only if SMA5 and SMA20 are below SMA200
4) Short strategy without filtering operations: if SMA5 crosses up to SMA20 and SMA20 is bullish, a buy is initiated (the location of MA200 does not matter). If SMA5 crosses down to SMA20 and SMA20 is bearish, a sell is initiated (it does not matter where the MA200 is located)
5) Prediction of closing operations: the algorithm evaluates potential closing operations differently and considers the following rules: If there is an active buy trade and SMA5 crosses down to SMA20, we close the current buy (the location of the SMA200 does not matter). If there is an active sell trade and SMA5 crosses up to SMA20, we close the sale in progress (the location of the SMA200 does not matter)
How to use it:
Press the "Indicators" option, go to the "Public Librarian" segment, write the name "SMA-Extendido-Estrategia por Neil", double-click on the record in question and you will have it added in your work panel, now, just It remains to be used to identify the inputs and outputs and you can do it visually or by defining the automatic notification alerts.
Hull Crossover Strategy no TP or SLWhat is it?
A simple yet effective strategy ran on the 30m chart.
This is a basic idea that can be expanded on using different indicator to either add signals or filter out certain bad signals!
The strategy consists of 1 fast moving average and 1 slow moving average.
Both of these moving averages are the Hull Moving Average
What is the Hull Moving Average?
The Hull Moving Average ( HMA ) is a directional trend indicator.
It captures the current market conditions and uses recent price action to determine if conditions are bullish or bearish relative to historical data.
The Hull is different from traditional trend indicators like the EMA and the SMA .
It is designed to reduce the lag often associated with other MAs by providing a faster signal on a smoother visual plane.
How it works?
When the fast HMA crosses over the slow HMA , we initiate a long signal, and
when the fast HMA crosses under the slow HMA , we initiate a short signal.
Conclusion
The power of simplicity is what makes this such a great core to use to build onto making something even better!
The results were optimised to suit the most common market conditions seen today.
******** Not financial advice! ********
HYSTERIAN BIST:SISE TRADE ALGORITHMThis strategy is using 5 minute charts and relative price movement in that period of time and determines optimum entry levels.
This strategy optimized ONLY FOR BIST:SISE stock futures because of its unique characteristics.
Strategy needs minimum 50000TRY account balance on Futures account and opens 100 lot SISE1! (Current contract in Front) Buy order when criterias met and TP or stop when criterias triggered. No pyramiding. One position at a time.
Commission used in strategy is 0.15 TRY per lot which i currently have in my real account.
Backtest results shows that strategy has an impressive %80 hit rate and above %40 percent profit in total of 81 positions. Max drawdown is below %6 percent.
You can use more position size if you have a bigger account. For example if you have 100000TRY balance in your trading account, you can set position size for 200 lot.
Brief summary in Turkish:
SISE hissesine özel tasarlanmış bir koddur. VIOP'ta kullanılır.
Hem yükselen hem düşen piyasada , sadece LONG yönlü işlem yapar. İşlemlerin yaklaşık %80 başarı oranı vardır. 1 yıllık backtest sonuçları yaklaşık %40 portföy büyümesine işaret etmektedir. Maksimum geri çekilme ise %6'nın altında olmuştur.
Her işlem 100 kontrat ile açılır, kapanana kadar yeni işlem açılmaz. 50 bin liralık bir VIOP hesabı ile kullanılması planlanmıştır.
Hesap büyüklüğüne bağlı olarak lot miktarı büyütülebilir. Yani viop hesabınız 100 bin TL ise, 200 lot ile işlem yapabilirsiniz.
5 dakikalık grafiklerde kullanılmalıdır, fiyatın o zaman dilimindeki relatif hareketlerine göre optimum giriş seviyesinde pozisyon açar. Stop ve TP seviyeleri koda gömülüdür ve optimize edilmiştir.
Lot başına 0.15 TRY komisyon tanımlanmıştır, gerçek hesabımdaki komisyon oranıdır.
Trend Bounce [racer8]I discovered this mechanical trading system titled "This Algo Strategy Has Only 3 rules and 62% Win Rate".
I coded the trading system on Tradingview...and now I am introducing it to you guys.
I modified the system so that it has both buy & sell signals.
I've tested it repeatedly in different markets on TV including stocks, currency pairs, bitcoin, and commodities...and it works!
A buy signal is generated whenever the current close is below the previous 7-day low and the current close is above the 200 period moving average.
A sell signal is generated whenever the current close is above the previous 7-day high and the current close is below the 200 period moving average.
The system also has a 2-ATR stop loss which I coded.
This system is unique in that it has both trend-following and reversal elements in it.
The system trades short-term reversals while obeying the long-term trend.
Essentially, you are buying the dips of bullish trends! & selling at the peaks of bearish trends!
Enjoy ♡
HYE Mean Reversion VWAP [Strategy]An RSI filtered version of PJ Sutherland's Jaws Mean Reversion algorithm using volume weighted average price (VWAP) instead of simple moving average (SMA).
"Long" on the close when;
1-) 2 period VWAP closes 3% or more below the 5 period VWAP ,
2-) 5 period exponential average of the 2 period RSI is below 30.
"Exit Long" on the close when;
1-) 2 period VWAP closes above the 5 period VWAP.
"Short" on the close when;
1-) 2 period VWAP closes 3% or more above the 5 period VWAP ,
2-) 5 period exponential average of the 2 period RSI is above 70.
"Exit Short" on the close when;
1-) 2 period VWAP closes below the 5 period VWAP.
*** You can change the needed percentage for long and short trades, periods of VWAPs and RSI levels.
*** You can select the trend direction: "Long Only" , "Short Only" or "Both". Default is "Long Only".
I used the "VWAP with period" indicator code of @neolao. Special thanks to @neolao.
Indicator Link:
How to use Leverage and Margin in PineScriptEn route to being absolutely the best and most complete trading platform out there, TradingView has just closed 2 gaps in their PineScript language.
It is now possible to create and backtest a strategy for trading with leverage.
Backtester now produces Margin Calls - so recognizes mid-trade drawdown and if it is too big for the broker to maintain your trade, some part of if will be instantly closed.
New additions were announced in official blogpost , but it lacked code examples, so I have decided to publish this script. Having said that - this is purely educational stuff.
█ LEVERAGE
Let's start with the Leverage. I will discuss this assuming we are always entering trades with some percentage of our equity balance (default_qty_type = strategy.percent_of_equity), not fixed order quantity.
If you want to trade with 1:1 leverage (so no leverage) and enter a trade with all money in your trading account, then first line of your strategy script must include this parameter:
default_qty_value = 100 // which stands for 100%
Now, if you want to trade with 30:1 leverage, you need to multipy the quantity by 30x, so you'd get 30 x 100 = 3000:
default_qty_value = 3000 // which stands for 3000%
And you can play around with this value as you wish, so if you want to enter each trade with 10% equity on 15:1 leverage you'd get default_qty_value = 150.
That's easy. Of course you can modify this quantity value not only in the script, but also afterwards in Script Settings popup, "Properties" tab.
█ MARGIN
Second newly released feature is Margin calculation together with Margin Calls. If the market goes against your trades and your trading account cannot maintain mid-trade drawdown - those trades will be closed in full or partly. Also, if your trading account cannot afford to open more trades (pyramiding those trades), Margin mechanism will prevent them from being entered.
I will not go into details about how Margin calculation works, it was all explainged in above mentioned blogpost and documentation .
All you need to do is to add two parameters to the opening line of your script:
margin_long = 1./30*50, margin_short = 1./30*50
Whereas "30" is a leverage scale as in 30:1, and "50" stands for 50% of Margin required by your broker. Personally the Required Margin number I've met most often is 50%, so I'm using value 50 here, but there are literally 1000+ brokers in this world and this is individual decision by each of them, so you'd better ask yourself.
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Please note, that if you ever encounter a strategy which triggers Margin Call at least once, then it is probably a very bad strategy. Margin Call is a last resort, last security measure - all the risks should be calculated by the strategy algorithm before it is ever hit. So if you see a Margin Call being triggred, then something is wrong with risk management of the strategy. Therefore - don't use it!
HMA_ATR StrategyATR with HMA experimental minimalist bot for ETHBTC .
A strategy for use by Automated Algorithm systems.
Different from normal ATR as it uses HMA for smoothing.
Example settings result shown here on chart include commission 0.5%
Dankland Playground Moneymaker - V2“version 2” of my playground bot script. Its essentially a powerhouse suite of strategies. Although it is similar to the previous script, it nets different results as sections have been changed. Such as the somewhat reluctant removal of the Chande Momentum... The RSIs have also been updated, this was one of the main changes. RSIS now include a Moving Average cross of RSI to generate signals above and below the given thresholds instead of simply on crossing a threshold. This should give greater functionality overall. Most functions including Moving Averages have been updated to include a wider range of kinds of moving averages. This includes not just the moving average cross, but MACD and RSIs as well. I tried to perform the same upgrade on the %B, Stochastics and SMI, but hit the unpacked code limit of 60,000 lines... So, more “versions” will have to come for future “upgrades”, with the recognition that there will be cases where the old, “downgraded” versions may perform better and that some people (like myself) may continue to use them on some markets until I/we devise superior settings on the new ones for said markets. For instance, instead of replacing my 1 hr BTCUSD bot (where I used the now deleted Chande to pretty pleasing affect...) I made a new one for LINKUSD 10 min so I can have both running for now and work on replacing the BTCUSD later.
How it works basically is this... you have 16 oscillators which can all be used as independently as you wish. They can be split up into different groups or ran all together.
When in separate groups they should not be able to sell eachothers positions without triggering a full stop loss by turning the Independence/Stop All switches on. Every single oscillator has its own entry and exit position sizing which can be stated as either a percent of balance or a flat amount of contracts (or both combined). Each oscillator has a minimum amount of profit you can tell it to sell it, which is calculated from the average cost of your current position, which does include all groups. This works out to help you average out better entry and exit prices, essentially a method of DCAing.
You can set the minimum sale amount, which is to keep it from placing orders below your exchanges minimum dollar trade cost.
All this functionality combined also ensures more accurate back tests by ensuring that the script simply cannot spend money it doesn't see as in the balance, whereas other scripts will use a percentage of equity, and once 100% of your equity is in BTC for instance, it will keep buying more BTC for free and thus spoof up backtest numbers. If you look through the strategies here, many people claim to have amazing scripts and then you look into it and this is happening and skewing their numbers. These people are either very ignorant or what they made or scam artists and trolls in my opinion.
This version also includes On Bar Close switches for each oscillator. When switched on, signals are only allowed to generate on Bar Close. This helps to prevent retriggering from live signals, which when you are running this many oscillators, will become a problem! However, in most cases, you do not need to generate signals intrabar, as backtests will show, ignoring intrabar buys and sells (intrabar stop losses can still be very important though!) won't exactly keep you from high profitability strategies, but rather, allowing elements of chaos from live indicators moving up and down intrabar will, in fact, drift your actual results further and further from the backtest. You want an accurate backtest though. So choose wisely when you turn these off and you will do better.
The included oscillators are as follows:
NO MORE Chande Momentum cross – REMOVED – I was hitting PINE code limits here so I had to make choices and this one simply had to go. Begone!
Moving Average Cross
MACD cross
%B Bollinger cross
Stochastic cross + region filter
Stochastic RSI cross + region filter
SMII cross and region filter
Three RMIs
Know-Sure-Thing line-cross
Coppock Curve line-cross
TRIX line-cross
RSI of MA w/ MA cross
RSI of MA of KST w/ MA cross
RSI of MA of Coppock Curve w/ MA cross
RSI of MA of Trix w/ MA cross
So the idea is that this is essentially multiple strategies combined into one backtestable house. Balance is calculated for all position sizes in order to try to prevent false entries that plague so many scripts (IE, you set pyramiding to 2, each buy $1000, initial balance $1000, and yet it buys two orders off the bat for $2000 total and nets 400% profit because the second was considered free, happens on 90+% of scripts on Tradingview if you aren't very very careful!)
You tune each indicator and position size them so that they work together as well as you can and in doing so you are able to create a single backtest that is capable of running a bot, essentially, between multiple strategies - you can run a slower Moving Average cross, a faster SMI cross or MACD , or Bollinger that grabs big moves only, all the while having MACD trade small bonuses along the way. This way you can weight the Risk to Reward of each against eachother.
I will not try to claim this is something you can open and with no work have the best bot on the planet. This scripts intention is to take a lot of relatively common trading strategies and combine them under on roof with some risk management and the ability to weigh each against eachother.
If you are looking for a super advanced singular algorithm that tries to capture every peak and valley exactly on the dot, this is not for you. If you are looking for a tool with a high level of customizability, with a publisher who intends to update it to the best of his ability in accordance to seeking to make the best product that I personally can make for both myself and the community (because I will be using this myself of course!) that was specifically designed with the intention of performing well in spot markets by averaging low entry costs and high exit costs, this is for you! That is the exact intention here. It can certainly work with margin, but you will have to take extra care in setting your stop losses. I intend to make a version capable of going short which will be included as part of the package. It may take some work to keep all of the risk management working as well for shorts though. There will be more scripts added to the “package” as I hit the limit on this one a few times and have had to keep some ideas out already.
The current backtest shown is hand-optimized by myself for Link /USD 10min market (Binance US – shouldn't need much work to fit to other exchange markets) with multiple stop losses.
Bot go_up strategyHello. This strategy is based on go_up alerts.
Our task is to find the local minimum. The trade is entered on the basis of RSI and SMA according to a specific formula, which is embedded in the code. When the RSI crosses the SMA upside down, a long position is entered. You can change the length of the RSI . The longer the length, the less frequent, but more accurate the entrance, and vice versa. You can use a different time frame.
The settings have:
1) RSI length, the lower the length, the more often the entry.
2) Testing results for any period of time
3) Take profit for any percentage
4) Stop order for any percentage
5) If there is a check mark ✅, then purchases will always be made, and if not, then purchases will be made, BUT, if the next payback is lower than the previous one, it does not matter by what percentage.
6) If there is a check mark ✅, then each trace of the purchase will be made provided that it is lower by the percentage specified, even if the conditions of the purchase are triggered.
7) The filled area is made for visual display of consolidation zones
Default settings:
RSI length 15, step 1.5, take profit 15, stop order 30.
Also in the settings there is a pyramid of the order, keep this in mind. Enter a deal for a small part of the deposit, and not for all the money at once! You can remove pyramiding and see the results with one entry.
For a more visual understanding, overlay the go_up script.
You can choose a strategy for yourself based on history! If you need examples of strategies, then write to me, my contacts are in the column: instructions from the author.
Successful trades, dear friends, I am glad that you trust me!
72s Strat: Backtesting Adaptive HMA+ pt.1This is a follow up to my previous publication of Adaptive HMA+ few months ago, as a mean to provide some kind of initial backtesting tools. Which can be use to explore many possible strategies, optimise its settings to better conform user's pair/tf, and hopefully able to help tweaking your general strategy.
If you haven't read the study or use the indicator, kindly go here first to get the overall idea.
The first strategy introduce in this backtest is one most basic already described in the study; buy/sell is when movement is there and everything is on the right side; When RSI has turned to other side, we can use it as exit point (if in profit of course, else just let it hit our TP/SL, why would we exit before profit). Also, base on RSI when we make entry, we can further differentiate type of signals. --Please check all comments in code directly where the signals , entries , and exits section are.
Second additional strategy to check; is when we also use second faster Adaptive HMA+ for exit. So this is like a double orders on a signal but with different exit-rule (/more on this on snapshots below). Alternatively, you can also work the code so to only use this type of exit.
There's also an additional feature which you can enable its visuals, the Distance Zone , is to help measuring price distance to our xHMA+. It's just a simple atr based envelope really, I already put the sample code in study's comment section, but better gonna update it there directly for non-coder too, after this.
In this sample I use Lot for order quantity size just because that's what I use on my broker. Also what few friends use while we forward-testing it since the study is published, so we also checked/compared each profit/loss report by real number. To use default or other unit of measurement, change the entry code accordingly.
If you change your order size, you should also change the commission in Properties Tab. My broker commission is 5 USD per order/lot, so in there with example order size 0.1 lot I put commission 0.5$ per order (I'll put 2.5$ for 0.5 lot, 10$ for 2 lot, and so on). Crypto usually has higher charge. --It is important that you should fill it base on your broker.
SETTINGS
I'm trying to keep it short. Please explore it further again. (Beginner should also first get acquaintance with terms use here.)
ORDERS:
Base Minimum Profit Before Exit:
The number is multiplier of ongoing ATR. Means that when basic exit condition is met, algo will check whether you're already in minimum profit or not, if not, let it still run to TP or SL, or until it meets subsequent exit condition, then it will check again.
Default Target Profit:
Multiplier of ATR at signal. If reached before any eligible exit condition is met, exit TP.
Base StopLoss Point:
You can change directly in code to use other like ATR Trailing SL, fix percent SL, or whatever. In the sample, 4 options provided.
Maximum StopLoss:
This is like a safety-net, that if at some point your chosen SL point from input above happens to be exceeding this maximum input that you can tolerate, then this max point is the one will be use as SL.
Activate 2nd order...:
The additional doubling of certain buy/sell with different exits as described above. If enable, you should also set pyramiding to at least: 2. If not, it does nothing.
ADAPTIVE HMA+ PERIOD
Many users already have their own settings for these. So in here I only sample the default as first presented in the study. Make it to your adaptive.
MARKET MOVEMENT
(1) Now you can check in realtime how much slope degree is best to define your specific pair/tf is out of congestion (yellow) area. And (2) also able to check directly what ATR lengths are more suitable defining your pair's volatility.
DISTANCE ZONE
Distance Multiplier. Each pair/tf has its own best distance zone (in xHMA+ perspective). The zone also determine whether a signal should appear or not. (Or what type of signal, if you wanna go more detail in constructing your strategy)
USAGE
(Provided you already have your own comfortable settings for minimum-maximum period of Adaptive HMA+. Best if you already have backtested it manually too and/or apply as an add-on to your working strategy)
1. In our experiences, first most important to define is both elements in the Market Movement Settings . These also tend to be persistent for whole season since it's kinda describing that pair/tf overall behaviour. Don't worry if you still get a low Profit Factor here, but by tweaking you should start to see positive changes in one of Max Drawdown and Net Profit, or Percent Profitable.
2. Afterwards, find your pair/tf Distance Zone . When optimising this, what we seek is just a "not to bad" equity curves to start forming. At least Max Drawdown should lessen more. Doesn't have to be great already, but should be better, no red in Net Profit.
3. Then go manage the "Trailing Minimum Profit", TP, SL, and max SL.
4. Repeat 1,2,3. 👻
5. Manage order size, commission, and/or enable double-order (need pyramiding) if you like. Check if your equity can handle max drawdown before margin call.
6. After getting an acceptable backtest result, go to List of Trades tab and find the biggest loss or when many sequencing loss in a row happened. Click on it to go to exact point on chart, observe why the signal failed and get at least general idea how it can be prevented . The rest is yours, you should know your pair/tf more than other.
You can also re-explore your minimum-maximum period for both Major and minor xHMA+.
Keep in mind that all numbers in Setting are conceptually in a form of range . You don't want to get superb equity curves but actually a "fragile" , means one can easily turn it to disaster just by changing only a fraction in one/two of the setting.
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If you just wanna test the strength of the indicator alone, you can disable "Use StopLoss" temporarily while optimising settings.
Using no SL might be tempting in overall result data in some cases, but NOTE: It is not recommended to not using SL, don't forget that we deliberately enter when it's in high volatility. If want to add flexibility or trading for long-term, just maximise your SL. ie.: chose SL Point>ATR only and set it maximum. (Check your max drawdown after this).
I think this is quite important specially for beginners, so here's an example; Hypothetically in below scenario, because of some settings, the buy order after the loss sell signal didn't appear. Let's say if our initial capital only 1000$ using leverage and order size 0,5 lot (risky position sizing already), moreover if this happens at the beginning of your trading season, that's half of account gone already in one trade . Your max SL should've made you exit after that pumping bar.
The Trailing Minimum Profit is actually look like this. Search in the code if you want to plot it. I just don't like too many lines on chart.
To maximise profit we can try enabling double-order. The only added rule coded is: RSI should rising when buy and falling when sell. 2nd signal will appears above or below default buy/sell signal. (Of course it's also prone to double-loss, re-check your max drawdown after. Profit factor play its part in here for a long run). Snapshot in comparison:
Two default sell signals on left closed at RSI exit, the additional sell signal closed later on when price crossover minor xHMA+. On buy side, price haven't met our minimum profit when first crossunder minor xHMA+. If later on we hit SL on this "+buy" signal, at least we already profited from default buy signal. You can also consider/treat this as multiple TP points.
For longer-term trading, what you need to maximise is the Minimum Profit , so it won't exit whenever an exit condition happened, it can happen several times before reaching minimum profit. Hopefully this snapshot can explain:
Notice in comparison default sell and buy signal now close in average after 3 days. What's best is when we also have confirmation from higher TF. It's like targeting higher TF by entering from smaller TF.
As also mention in the study, we can still experiment via original HMA by putting same value for minimum-maximum period setting. This is experimental EU 1H with Major xHMA+: 144-144, Flat market 13, Distance multiplier 3.6, with 2nd order activated.
Kiwi was a bit surprising for me. It's flat market is effectively below 6, with quite far distance zone of 3.5. Probably because I'm using big numbers in adaptive period.
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The result you see in strategy tester report below for EURUSD 15m is using just default settings you see in code, as follow:
0,1 lot for each order (which is the smallest allowed by my broker).
No pyramiding. Commission: 0.5 usd per order. Slippage: 3
Opening position is only using basic strategy #1 (RSI exit). Additional exit not activated.
Minimum Profit: 1. TP: 3.
SL use: Half-distance zone. Max SL: 4.5.
Major xHMA+: 172-233. minor xHMA+: 89-121
Distance Zone Multiplier: 2.7
RSI: Standard 14.
(From our forward-testing, the difference we get from net profit is because of the spread, our entry isn't exactly at the close/open price. Not so much though, but not the same. If somebody can direct me to any example where we can code our entry via current bid/ask price, that would be awesome!)
It's already a long post (sorry), think I'm gonna pause here. Check out the code :)
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DISCLAIMER: Past performance is no guarantee of future results , and so on.. you know the drill ;)
Please read whole description first before using, don't take 1-2 paragraph and claim it's the whole logic, you are responsible of your own actions and understanding.
Improved simple RSI Buy/Sell at a level (SL/TP)Improved Simple Strategy based on RSI, using overbought or oversold levels.
Backtest: ETHPERP (FTX) - 30m
Set STOP LOSS and GET PROFIT as a percentage (2% and 10% by default).
If strategy.position_size != 0 algorithm convert percentages into points and set stop loss and take profit limit orders.
Fibonacci DCA TrendThis bot makes use of an algorithm which detects new heights and places limit orders according to the Fibonacci retracement theory. By placing limit orders under the current price, the bot allows itself to catch smaller and larger dips. This is also known as “Dollar-Cost-Averaging”, DCA in short. This bot is ideal for bull markets, both on crypto and stock indices.
The green lines are the limit orders. As soon as the price touches the limit order, a position is entered.
The settings of the back test as follows:
starting capital = 100k
leverage = 1
commission = 0.2%
Equity per trade = 5%, a realistic investment strategy when trading 2-3 assets with this bot.
It’s advised to trade this bot with futures for potential leverage. On time frames lower than H1 I’d use 2x-3x leverage for better results, especially in trending markets. On larger time frames I wouldn’t use any leverage.
This bot has very strong results on a multitude of assets. The best results are on the M15 time frame.
To give you a few ideas, this bot is tested on the assets below. All the results are very similar. You can contact me for a back-test on a specific asset. You can find the back-test results on my website.
BTC
ETH
SPX500
NAS100
The standard inputs are generally the best all-round inputs. Feel free to change the inputs to your liking.
I've also made a study-script for easy implementation on the exchange. You get that script once you get access to this bot.
