Kyrie Crossover ( @zaytradellc )Unlocking Market Dynamics: Kyrie Crossover Script by @zaytradellc
personalized trading success with the "Kyrie Crossover" script, meticulously crafted by @zaytrade. This innovative Pine Script, tailored to the birthdays of Kyrie and the script creator, combines the power of technical analysis with a touch of personalization to revolutionize your trading experience.
**Exponential Moving Average (EMA) Crossover Strategy:**
At the heart of the "Kyrie Crossover" script lies a sophisticated EMA crossover strategy. By utilizing a 10-period EMA and a 323-period EMA (symbolizing long term price action ), the strategy effectively captures market trends with precision and insight.
- **Short-Term EMA (10-period):** This EMA reacts swiftly to recent price changes, offering heightened sensitivity to short-term fluctuations. It excels in identifying immediate shifts in market sentiment, making it invaluable for pinpointing short-lived trends and potential reversal points.
- **Long-Term EMA (323-period):** In contrast, the long-term EMA provides a broader perspective by smoothing out short-term noise and focusing on longer-term trend direction. Its extended length filters out market noise effectively, providing a clear representation of the underlying trend's momentum and sustainability.
**Directional Movement Index (DMI) Metrics:**
The "Kyrie Crossover" script goes beyond traditional indicators by incorporating DMI metrics across multiple timeframes. By assessing trend strength and direction, traders gain valuable insights into market dynamics, allowing for informed decision-making.
**Simple Instructions to Profit:**
1. **Identify EMA Crossovers:** Look for instances where the short-term EMA (10-period) crosses above the long-term EMA (323-period) for a bullish signal, indicating a potential buying opportunity. Conversely, a crossover where the short-term EMA crosses below the long-term EMA signals a bearish trend and a potential selling opportunity.
2. **Confirm with DMI Metrics:** Validate EMA crossovers by checking DMI metrics across different timeframes (5 minutes, 15 minutes, 30 minutes, and 1 hour). Pay attention to color-coded indicators, with green indicating a bullish trend, red indicating a bearish trend, and white indicating no clear trend.
3. **Manage Risk:** Implement proper risk management techniques, such as setting stop-loss orders and position sizing based on your risk tolerance and trading objectives.
4. **Stay Informed:** Regularly monitor market conditions and adjust your trading strategy accordingly based on new signals and emerging trends.
Cari dalam skrip untuk "the script"
LuxAlgo - Backtester (OSC)The OSC Backtester is an innovative strategy script that allows users to create a wide variety of strategies using various unique oscillators.
By utilizing our 'Step' and 'Match' algorithms, users can create custom and complex strategy entries from each of the supported oscillators and included conditions, as well as any external sources, allowing users to create entries from a sequence of conditions and/or multiple matching conditions.
We included a complete alert system that will send a notification for each action taken by the strategy and we also allow users to set custom messages for each action taken by a strategy.
🔶 Features
🔹 Step & Match Algorithm
More complex entry rules can be created by using multiple conditions together, this is done thanks to the Step dropdown setting on the right of each condition.
The Step setting is directly related to the Step & Match algorithm and works in two ways:
When two or more conditions have the same step number, both conditions are evaluated. Used to test matching conditions.
When two or more conditions have different step numbers, each conditions will be evaluated in order, testing for the first step and switching to the next step once the previous one is true. When the final step is true the strategy will open a market order. Used to create sequence of conditions.
This operation is complementary, as you can create a sequence of conditions with one step consisting of two or more matching conditions as long as they have the same step number.
🔹 Fully Customizable Entries From Various Oscillators And Conditions
We allow the users to set entries using our unique HyperWave, Smart Money Flow, and their derived conditions as entries.
The Hyper Wave is a normalized adaptive oscillator aiming to reflect price trends without returning a high amount of noise.
The Smart Money Flow aims to detect trends based on market activity, by doing a comparative analysis between current volume and historical volume. A Smart Money Flow above 50 suggest market participants are bullish, else bearish. Derived from this oscillator we have Overflow indications, this indicator detects when market is overbought or oversold based on participants activity.
Other entries include proprietary reversal signals, real-time divergence detection, oscillator confluence (indicating how aligned each oscillator is), as well as entries using external sources.
🔹 Complete Alert System
Users can get alerted for any action executed by a strategy, from opening positions to closing them.
The message field in the Alert Messages setting section allows for the strategy to send a custom alert message depending on the action taken by the strategy, if no messages are set the strategy will send default messages.
🔶 Usage
Users can create a wide variety of strategies from this script, whether they are trend-following or contrarian traders.
Let's see a contrarian (revesal-based) strategy example using the following entry conditions:
Long: Hyperwave bullish divergence and oversold Hyperwave (lower than 20).
Short: Hyperwave bearish divergence and overbought Hyperwave (greater than 20).
We can also introduce take-profit and stop-loss exit conditions based on external indicators, allowing more control over exits in our strategy. For example:
Long: Hyperwave crossing over 50 while money flow is bearish.
Short: Hyperwave crossing under 50 while money flow is bullish.
Exit Long on a profit (long exit tp): Hyperwave crossing 80.
Exit Short on a profit (short exit tp): Hyperwave crossing 20.
While this strategy script can be used as a standalone, we recommend using other indicators creatively to assist with entries and exits as well as TP/SLs.
Our Step & Match algorithm can magnify interoperability, allowing for way more complete strategies through complex conditions, let's demonstrate this using the following entries:
Long: Any bullish reversal occurring after the price crosses over the lowest upper reversal zone of the Signals & Overlays™.
Short: Any bearish reversal occurring after the price crosses under the highest lower reversal zone of the Signals & Overlays™.
Long TP/SL: 5 ATR's away from the entry price.
Short TP/SL: 5 ATR's away from the entry price.
🔶 Strategy Properties (Important)
This script backtest is done on daily EURGBP, using the following backtesting properties:
Balance (default): 10 000 (default base currency)
Order Size: 10% of the equity
Comission: 3.4 pips (average spread for EURGBP)
Slippage: 3 tick
Stop Loss: 0.02 points away from entry price
We use these properties to ensure a realistic preview of the backtesting system, do note that default properties can be different for various reasons described below:
Order Size: 1 contract by default, this is to allow the strategy to run properly on most instruments such as futures.
Comission: Comission can vary depending on the market and instrument, there is no default value that might return realistic results.
We strongly recommend all users to ensure they adjust the Properties within the script settings to be in line with their accounts & trading platforms of choice to ensure results from the strategies built are realistic.
🔶 How To Access
You can see the Author's Instructions below to learn how to get access.
SOFEX Strong Volatility Trend Follower + BacktestingWhat is the SOFEX Strong Volatility Trend Follower + Backtesting script?
🔬 Trading Philosophy
This script is trend-following, attempting to avoid choppy markets.
It has been developed for Bitcoin and Ethereum trading, on 1H timeframe.
The strategy does not aim to make a lot of trades, or to always remain in a position and switch from long to short. Many times there is no direction and the market is in "random walk mode", and chasing trades is futile.
Expectations of performance should be realistic.
The script focuses on a balanced take-profit to stop-loss ratio. In the default set-up of the script, that is a 2% : 2% (1:1) ratio. A relatively low stop loss and take profit build onto the idea that positions should be exited promptly. There are many options to edit these values, including enabling trailing take profit and stop loss. Traders can also completely turn off TP and SL levels, and rely on opposing signals to exit and enter new trades.
Extreme scenarios can happen on the cryptocurrency markets, and disabling stop-loss levels completely is not recommended. The position size should be monitored since all of it is at risk with no stop-loss.
⚙️ Logic of the indicator
The Strong Volatility Trend Follower indicator aims at evading ranging market conditions. It does not seek to chase volatile, yet choppy markets. It aims at aggressively following confirmed trends. The indicator works best during strong, volatile trends, however, it has the downside of entering trades at trend tops or bottoms.
This indicator also leverages proprietary adaptive moving averages to identify and follow strong trend volatility effectively. Furthermore, it uses the Average Directional Index, Awesome Oscillator, ATR and a modified version of VWAP, to categorize trends into weak or strong ones. The VWAP indicator is used to identify the monetary (volume) inflow into a given trend, further helping to avoid short-term manipulations. It also helps to distinguish choppy-market volatility with a trending market one.
📟 Parameters Menu
The script has a comprehensive parameter menu:
Preset Selection : Choose between Bitcoin or Ethereum presets to tailor the indicator to your preferred cryptocurrency market.
Indicator Sensitivity Parameter : Adjust the sensitivity to adapt the indicator, particularly to make it seek higher-strength trends.
Indicator Signal Direction : Set the signal direction as Long, Short, or Both, depending on your preference.
Exit of Signals : You have options regarding Take-Profit (TP) and Stop-Loss (SL) levels. Enable TP/SL levels to exit trades at predetermined levels, or disable them to rely on direction changes for exits. Be aware that removing stop losses can introduce additional risk, and position sizing should be carefully monitored.
By enabling Trailing TP/SL, the system switches to a trailing approach, allowing you to:
- Place an initial customizable SL.
- Specify a level (%) for the Trailing SL to become active.
- When the activation level is reached, the system moves the trailing stop by a given Offset (%).
Additionally, you can enable exit at break-even, where the system places an exit order when the trail activation level is reached, accounting for fees and slippage.
Alert Messages : Define the fields for alert messages based on specific conditions. You can set up alerts to receive email, SMS, and in-app notifications. If you use webhooks for alerts, exercise caution, as these alerts can potentially execute trades without human supervision.
Backtesting : Default backtesting parameters are set to provide realistic backtesting performance:
- 0.04% Commission per trade (for both entries and exits)
- 3 ticks Slippage (highly dependent on exchange)
- Initial capital of $1000
- Order size of $1000
While the order size is equal to the initial capital, the script employs a 2% stop-loss order to limit losses and attempts to prevent risky trades from creating big losses. The order size is a set dollar value, so that the backtesting performance is linear, instead of using % of capital which may result in unrealistic backtesting performance.
Risk Disclaimer
Please be aware that backtesting results, while valuable for statistical overview, do not guarantee future performance in any way. Cryptocurrency markets are inherently volatile and risky. Always trade responsibly and do not risk more than you can afford to lose.
Linear Cross Trading StrategyLinear Cross Trading Strategy
The Linear Cross trading strategy is a technical analysis strategy that uses linear regression to predict the future price of a stock. The strategy is based on the following principles:
The price of a stock tends to follow a linear trend over time.
The slope of the linear trend can be used to predict the future price of the stock.
The strategy enters a long position when the predicted price crosses above the current price, and exits the position when the predicted price crosses below the current price.
The Linear Cross trading strategy is implemented in the TradingView Pine script below. The script first calculates the linear regression of the stock price over a specified period of time. The script then plots the predicted price and the current price on the chart. The script also defines two signals:
Long signal: The long signal is triggered when the predicted price crosses above the current price.
Short signal: The short signal is triggered when the predicted price crosses below the current price.
The script enters a long position when the long signal is triggered and exits the position when the short signal is triggered.
Here is a more detailed explanation of the steps involved in the Linear Cross trading strategy:
Calculate the linear regression of the stock price over a specified period of time.
Plot the predicted price and the current price on the chart.
Define two signals: the long signal and the short signal.
Enter a long position when the long signal is triggered.
Exit the long position when the short signal is triggered.
The Linear Cross trading strategy is a simple and effective way to trade stocks. However, it is important to note that no trading strategy is guaranteed to be profitable. It is always important to do your own research and backtest the strategy before using it to trade real money.
Here are some additional things to keep in mind when using the Linear Cross trading strategy:
The length of the linear regression period is a key parameter that affects the performance of the strategy. A longer period will smooth out the noise in the price data, but it will also make the strategy less responsive to changes in the price.
The strategy is more likely to generate profitable trades when the stock price is trending. However, the strategy can also generate profitable trades in ranging markets.
The strategy is not immune to losses. It is important to use risk management techniques to protect your capital when using the strategy.
I hope this blog post helps you understand the Linear Cross trading strategy better. Booost and share with your friend, if you like.
Risk to Reward - FIXED SL BacktesterDon't know how to code? No problem! TradingView is an excellent platform for you. ✅ ✅
If you have an indicator that you want to backtest using a risk-to-reward ratio or fixed take profit/stop loss levels, then the Risk to Reward - FIXED SL Backtester script is the perfect solution for you.
introducing Risk to Reward - FIXED SL Backtester Script which will allow you to test any indicator / Signal with RR or Fixed SL system
How does it work ?!
Once you connect the script to your indicator, it will analyze your entry points and perform calculations based on them. It will then open trades for you according to the specified inputs in the script settings.
HOW TO CONNECT IT to your indicator?
simply open your indicator code and add the below line of code to it
plot(Signal ? 100 : 0,"Signal",display = display.data_window)
Replace Signal with the long condition from your own indicator. You can also modify the value 100 to any number you prefer. After that, open the settings.
Once the script is connected to your indicator, you can choose from two options:
Risk To Reward Ratio System
Fixed TP/ SL System
🔸if you select the Risk to Reward System ⤵️
The Risk-to-Reward System requires the calculation of a stop loss. That's why I have included three different types of stop-loss calculations for you to choose from:
ATR Based SL
Pivot Low SL
VWAP Based SL
Your stop loss and take profit levels will be automatically calculated based on the selected stop loss method and your risk-to-reward ratio.
You can also adjust their values to match your desired risk level. The trades will be displayed on the chart.
with the ability to change their values to match your risk.
once this is done, trades will be displayed on the chart
🔸if you select the Fixed system ⤵️
You have 2 inputs, which are FIXED TP & Fixed SL
input the values you want, and trades will be on your chart...
I have also added a Breakeven feature for you.
with this Breakeven feature the trade will not just move SL to Entry ?! NO NO, it will place it above entry by a % you input yourself, so you always win! 🚀
Here is an example
Enjoy, and have fun, if you have any questions do not hesitate to ask
METRIC-TREND-TRADERThis script is a Fully Automated trading script meant to be used with "Oanda" broker and the plug-ins for algorithmic trading automation.( FOREX ONLY)
This script is meant to capture "TREND FOLLOWING " for intraday charts (1hour) preferably and will hold for days / weeks .trading on forex markets.
(The combination of indicators includes a short high and low price channel and a longer term high and low price channel)
This script is original in description as being automated to try and capture dynamic trending markets with both long and short fractal price channels. although trend trading is not an original concept. trend trading with this dynamic indicator allows the user visualize both short term and longer term price action at the same time, helping to make better trading decisions. the channels are designed to buy breakouts in the direction of the longer term trend while trailing stop a built-in stop loss that allows normal market movement while attempting to lock in flexible profits.
The concept of this indicator is be able to quickly visualize trends by high lighting the large green areas beneath price "when trending long" which is the difference between the (user defined) short term lows and the (user defined) Long period price lows.
For "down trending" markets a large red area above price will be displayed and this is the difference between the (user defined) short term highs and the (user defined) long term highs.
This strategy uses a lower than reward profile to jump in direction of market moves for continuation,
(1 risk to 4 reward)
in the likelihood the instrument will continue (example) 200 pips before it reverts 50 pips in the counter direction.
This strategy should only be used in markets that you believe are "TRENDING" at the time of trading otherwise you risk trend trading a range market.
This script uses a (user defined period) of short term high and low price ( green/red color) and (user defined period) Long Term high and low price (green/red) chosen in the indicator settings menu.
The default parameters are 10 with a (minimum of 1 and maximum of 10000) for the short term channel and 50 with a (minimum of 1 and maximum of 10000) for the long term price channel , the default parameters = roughly 2 days "long term" and 10 hours "short term" of price action on the (1 hour) chart.
Strategy entries and exits , for Long trades the trade will be entered if the short term high crosses above the Long Term high and the Short term low is not equal to the Long term low . the trade will exit if profit or stop loss are hit or if the Short term low crosses under the long term low.
For Short trades the trade will enter short if , the short term low crosses under the long term low and the short term high is not equal to the long term high. the trade will exit if profit or stop loss are hit or the short term high crosses over the long term high
"The default parameters should be kept unless you fully understand the complete strategy"
There are two very important inputs to be selected at the user setting menu "Long Only " and "Short Only" if you are looking to place long trades only select "Long Only" or for short trades select " Short Only" it is not recommended to keep both selected as it will trade both sides!
When the trade is entered a red , a blue and green horizontal dotted line will appear on the chart.
the blue line is the strategy entry price , the red line is the stop loss price , and the green line is the take profit price . the colors will invert if the trade is long or short.
(Setting alerts should be done in the indicator settings menu, and the parameters you chose will determine the stop loss/target and the amount of "units = (position size)" you wish to trade for the (forex only) markets. using "alert() function calls only" is the only alert that should be used with this strategy.
(note : when "alert() function calls only" is set two messages will be sent, one closing any open position in the opposite direction and one placing the new order regardless if you are currently in a trade or not)
Trade targets , stoploss and trade position size are a user defined variables entered in the indicator settings menu. (target pips minimum 0 and a maximum of 1000)(stop pips minimum of 0 and maximum of 1000)
Back test date range is included in the script for back testing different data periods.
the back ground will be colored a transparent navy blue if the period you are looking trading is with in the date range( note: to place live trades the end date will need to be in the future)
this is also adjustable in the settings menu
The avoid spread filter is a user defined time in which the spread is typically higher than average, applying this filter avoids trades in the specified time. When this filter is applied there will be a transparent red back ground color in the specified time.
Back test default setting are equivocal to OANDA:USDJPY
at the time of this publication placing trades with the "Oanda" broker are as follows , USD units = 2000 equal 2000 USD position size . "Oanda" current leverage is 20 to 1 for this particular pair and commission is paid in spread (1.4) pips = 0.19 USD per trade , Margin required for the trade is 100.0 USD , Position sizing = 10% of a 1000 USD account.
OANDA:USDJPY
PRICE CHANNEL MEAN REVERSIONThis script is a Fully Automated trading script meant to be used with "Oanda" broker and the plug-ins for algorithmic trading automation.( FOREX ONLY)
This script is meant to capture "MEAN REVERSION " for intraday charts (1hour) preferably and will hold for days / weeks .trading on forex markets.
(The combination of indicators includes a high and low price channel along with a fast moving average)
This script is original in the description of Alan Hulls moving average combined with the high and low closing of price action.
The concept of this mean reversion strategy is to try and capture price exhaustive moves . The moving average is fast and most times remains in the channel. when the moving average overshoots the channel the average price of the instrument is thought to be rising or falling faster then average, indicating a possibility that the instrument may revert (pull back) this strategy aims to capture that pull back.
This strategy uses a higher risk than reward profile to jump in front of market moves (4 risk to 1 reward)
in the likelihood the instrument will revert back (example) 25 pips before it continues 100 pips in the current direction.
This strategy should only be used in markets that you believe are mean reverting at the time of trading otherwise you will be jumping Infront of a possible trend and the price can continue in the trending direction for an unknown specified amount of time.
This script uses a (user defined period) fast moving average ( green/red color) and (user defined period) price channel (White/Blue) chosen in the indicator settings menu.
The default parameters are 55 with a (minimum of 1 and maximum of 10000) for the moving average and 50 with a (minimum of 1 and maximum of 10000) for the price channel , the default parameters = roughly 2 days of price action on the (1 hour) chart.
"The default parameters should be kept unless you fully understand the complete strategy"
the upper band (white line) is the highest close of the specified period and the lower band (blue line) is the lowest close of the same period.
When the fast moving average over shoots the price channel (exits) then crosses back into the price channel (enters) it will trigger a long or short trade.
The long signal is given when the the moving average crosses below the low band then crosses back above the low band . The trade long trade will be entered and the trade will exit if the stop loss or profit targets are hit or if the short signal is given the trade will close then reverse.
The short trade will be entered if the fast moving average crosses above the upper band (white line) then crosses back down through the upper band (white line) The trade short trade will be entered and the trade will exit if the stop loss or profit targets are hit or if the long signal is given the trade will close then reverse.
When the trade is entered a red , a blue and green horizontal dotted line will appear on the chart.
the blue line is the strategy entry price , the red line is the stop loss price , and the green line is the take profit price . the colors will invert if the trade is long or short.
(Setting alerts should be done in the indicator settings menu, and the parameters you chose will determine the stop loss/target and the amount of "units = (position size)" you wish to trade for the (forex only) markets. using "alert() function calls only" is the only alert that should be used with this strategy.
(note : when "alert() function calls only" is set two messages will be sent, one closing any open position in the opposite direction and one placing the new order regardless if you are currently in a trade or not)
Trade targets , stoploss and trade position size are a user defined variables entered in the indicator settings menu. (target pips minimum 0 and a maximum of 1000)(stop pips minimum of 0 and maximum of 1000)
Back test date range is included in the script for back testing different data periods.
the back ground will be colored a transparent navy blue if the period you are looking trading is with in the date range( note: to place live trades the end date will need to be in the future)
this is also adjustable in the settings menu
The avoid spread filter is a user defined time in which the spread is typically higher than average, applying this filter avoids trades in the specified time. When this filter is applied there will be a transparent red back ground color in the specified time.
Back test default setting are equivocal to OANDA:NZDUSD
at the time of this publication placing trades with the "Oanda" broker are as follows , NZD units = 3250 equal 2000 USD position size . "Oanda" current leverage is 33.3 to 1 for this particular pair and commission is paid in spread (1.7) pips = 0.55 USD per trade , Margin required for the trade is 60.50 USD , Position sizing = 6.5% of a 1000 USD account. OANDA:NZDUSD
HK Percentile Interpolation One
This script is designed to execute a trading strategy based on Heikin Ashi candlesticks, moving averages, and percentile levels.
Please note that you should keep your original chart in normal candlestick mode and not switch it to Heikin Ashi mode. The script itself calculates Heikin Ashi values from regular candlesticks. If your chart is already in Heikin Ashi mode, the script would be calculating Heikin Ashi values based on Heikin Ashi values, which would produce incorrect results.
The strategy begins trading from a start date that you can specify by modifying the `startDate` parameter. The format of the date is "YYYY MM DD". So, for example, to start the strategy from January 1, 2022, you would set `startDate = timestamp("2022 01 01")`.
The script uses Heikin Ashi candlesticks, which are plotted in the chart. This approach can be useful for spotting trends and reversals more easily than with regular candlestick charts. This is particularly useful when backtesting in TradingView's "Rewind" mode, as you can see how the Heikin Ashi candles behaved at each step of the strategy.
Buy and sell signals are generated based on two factors:
1. The crossing over or under of the Heikin Ashi close price and the 75th percentile price level.
2. The Heikin Ashi close price being above certain moving averages.
You have the flexibility to adjust several parameters in the script, including:
1. The stop loss and trailing stop percentages (`stopLossPercentage` and `trailStopPercentage`). These parameters allow the strategy to exit trades if the price moves against you by a certain percentage.
2. The lookback period (`lookback`) used to calculate percentile levels. This determines the range of past bars used in the percentile calculation.
3. The lengths of the two moving averages (`yellowLine_length` and `purplLine_length`). These determine how sensitive the moving averages are to recent price changes.
4. The minimum holding period (`holdPeriod`). This sets the minimum number of bars that a trade must be kept open before it can be closed.
Please adjust these parameters according to your trading preferences and risk tolerance. Happy trading!
BTC 4h bot 2.0 StrategyThis is Strategy version of BTC 4h bot 2.0.
Optimized for pairs BTC vs stablecoins, 4h timeframe.
HOW IT WORKS:
Script is based on the fact that there are certain phases of the market when there is a greater probability that BTC will go to one side or the other. To evaluate which phase we are in, the script uses "Main trend" and "Confirmation signals".
Main trend
- Is composed of a combination of several supertrends and moving averages. A Supertrend is a trend following indicator that helps in identifying whether we are in an uptrend or a downtrend. A higher factor is used to capture the main trend and not just small movements. In case the market goes sideways, the Supertrend does not work well, so it is a combination of multiple supertrends along with moving averages to differentiate a real strong trend from a range.
- It can be seen on the graph as a thick solid line.
- In an uptrend is green, in a downtrend red, gray represents the neutral zone.
Confirmation signals
- Are several script-evaluated indicators such as RSI , MACD , ADX and others, which serve to confirm the trend. In this case, it is the opposite way to the Main trend. Confirmation signals are used here to detect small movements. They are trying to capture bullish and bearish price momentum.
- On the graph they are seen as dashed lines above or below the Main trend (in the gray zone they are in the middle).
- It indicates only two signals, green for buy and red for sell.
HOW TO USE IT:
if the Main trend and Confirmation signals are of the same color, it will send a buy or sell signal, depending on which phase of the trend it is in. If the Main trend is e.g. in an uptrend and the market is going up, Confirmation signals should generate a lot of signals. But if the market starts to go in the opposite direction, Confirmation signals should generate fewer signals or none at all, thus reducing the number of wrong trades. In the gray zone of the Main trend it does not open positions.
To close position is possible to use stop loss and take profit or alternative could be to set very high TP value, thereby letting the script close the positions by itself.
The default setting is:
TP: 3.9%
SL: 4.7%.
In this case, it is a strategy to find out how the script worked in the past period. The longest period in which it is possible to test BTCUSD is on the Bitstamp exchange. The script works consistently well over a long period of time, using past probabilities, but this does not guarantee future results.
Simple_RSI+PA+DCA StrategyThis strategy is a result of a study to understand better the workings of functions, for loops and the use of lines to visualize price levels. The strategy is a complete rewrite of the older RSI+PA+DCA Strategy with the goal to make it dynamic and to simplify the strategy settings to the bare minimum.
In case you are not familiar with the older RSI+PA+DCA Strategy, here is a short explanation of the idea behind the strategy:
The idea behind the strategy based on an RSI strategy of buying low. A position is entered when the RSI and moving average conditions are met. The position is closed when it reaches a specified take profit percentage. As soon as the first the position is opened multiple PA (price average) layers are setup based on a specified percentage of price drop. When the price hits the layer another position with the same position size is is opened. This causes the average cost price (the white line) to decrease. If the price drops more, another position is opened with another price average decrease as result. When the price starts rising again the different positions are separately closed when each reaches the specified take profit. The positions can be re-opened when the price drops again. And so on. When the price rises more and crosses over the average price and reached the specified Stop level (the red line) on top of it, it closes all the positions at once and cancels all orders. From that moment on it waits for another price dip before it opens a new position.
This is the old RSI+PA+DCA Strategy:
The reason to completely rewrite the code for this strategy is to create a more automated, adaptable and dynamic system. The old version is static and because of the linear use of code the amount of DCA levels were fixed to max 6 layers. If you want to add more DCA layers you manually need to change the script and add extra code. The big difference in the new version is that you can specify the amount of DCA layers in the strategy settings. The use of 'for loops' in the code gives the possibility to make this very dynamic and adaptable.
The RSI code is adapted, just like the old version, from the RSI Strategy - Buy The Dips by Coinrule and is used for study purpose. Any other low/dip finding indicator can be used as well
The distance between the DCA layers are calculated exponentially in a function. In the settings you can define the exponential scale to create the distance between the layers. The bigger the scale the bigger the distance. This calculation is not working perfectly yet and needs way more experimentation. Feel free to leave a comment if you have a better idea about this.
The idea behind generating DCA layers with a 'for loop' is inspired by the Backtesting 3commas DCA Bot v2 by rouxam .
The ideas for creating a dynamic position count and for opening and closing different positions separately based on a specified take profit are taken from the Simple_Pyramiding strategy I wrote previously.
This code is a result of a study and not intended for use as a full functioning strategy. To make the code understandable for users that are not so much introduced into pine script (like myself), every step in the code is commented to explain what it does. Hopefully it helps.
Enjoy!
Donchian Trend V1The Donchian Trend strategy is a trend-following approach that uses the Donchian Channels indicator to identify potential entry and exit points in a security. The Donchian Channels are formed by taking the highest high and the lowest low prices over a specified period and plotting them as upper and lower channels around the current price. The width of the channels indicates the level of volatility in the market.
In this strategy, the Donchian Channels are used as a trend filter to determine the direction of the market. When the price is above the upper channel, it suggests an uptrend, and when the price is below the lower channel, it indicates a downtrend. The length of the Donchian Channels is a key parameter in the strategy, as it determines the look-back period for identifying the high and low prices.
Additional Logic: To further refine the entry and exit signals, The script uses two moving averages, a fast one (MA5) and a slow one (MA45), to identify trends and generate trading signals. When the fast moving average crosses above the slow moving average, a buy signal is generated, indicating that the market is trending upwards. Conversely, when the fast moving average crosses below the slow moving average, a sell signal is generated, indicating that the market is trending downwards.
Evaluation: The script was backtested on historical price data for the pair. The backtest results showed that the script was able to generate a net profit of , with a profit factor of and a Sharpe ratio of . The script also includes metrics such as the number of winning and losing trades, the average trade, and the largest winning and losing trades.
The strategy is evaluated based on its net profit, gross profit, gross loss, max run-up, max drawdown, buy & hold return, Sharpe ratio, Sortino ratio, and profit factor. The parameters used in the backtest include a Donchian Channel length of 42, which corresponds to a weekly time with divide of 4h time frame, and a short-term MA of 5 and a long-term MA of 45 for more accurate entry and exit signals.
Disclaimer: This script is for educational and research purposes only and should not be used for trading with real money without further testing and validation. Past performance is not indicative of future results.
Rsi strategy for BTC with (Rsi SPX)
I hope this strategy is just an idea and a starting point, I use the correlation of the Sp500 with the Btc, this does not mean that this correlation will exist forever!. I love Trading view and I'm learning to program, I find correlations very interesting and here is a simple strategy.
This is a trading strategy script written in Pine Script language for use in TradingView. Here is a brief overview of the strategy:
The script uses the RSI (Relative Strength Index) technical indicator with a period of 14 on two securities: the S&P 500 (SPX) and the symbol corresponding to the current chart (presumably Bitcoin, based on the variable name "Btc_1h_fixed"). The RSI is plotted on the chart for both securities.
The script then sets up two trading conditions using the RSI values:
A long entry condition: when the RSI for the current symbol crosses above the RSI for the S&P 500, a long trade is opened using the "strategy.entry" function.
A short entry condition: when the RSI for the current symbol crosses below the RSI for the S&P 500, a short trade is opened using the "strategy.entry" function.
The script also includes a take profit input parameter that allows the user to set a percentage profit target for closing the trade. The take profit is set using the "strategy.exit" function.
Overall, the strategy aims to take advantage of divergences in RSI values between the current symbol and the S&P 500 by opening long or short trades accordingly. The take profit parameter allows the user to set a specific profit target for each trade. However, the script does not include any stop loss or risk management features, which should be considered when implementing the strategy in a real trading scenario.
Band-Zigzag - TrendFollower Strategy [Trendoscope]Strategy Time!!!
Have built this on my earlier published indicator Band-Zigzag-Trend-Follower . This is just one possible implementation of strategy on Band-Based-Zigzag .
🎲 Notes
Experimental prototype. Not financial advise and strategy not guaranteed to make money despite backtest results
Not created or tested for any specific instrument or timeframe
Test and adopt with own risk
🎲 Strategy
This is trend following strategy built based on Bands and Zigzag. Traits of trend following strategies are
Lower win rate (Yes, thats right)
High risk reward (Compensates low win rate)
Higher drawdown
If market is choppy, trend following methods suffer.
The script implements few points to overcome the negatives such as lower win rate and higher drawdown by actively assessing pivots on the direction of trend along. This helps us take regular profits and exit on time during the end of trend. Most of the other concepts are defined and explained in indicator - Band-Zigzag-Trend-Follower and Band-Based-Zigzag
Defining a trend following method is simple. Basic rule of trend following is Buy High and Sell Low (Yes, you heard it right). To explain further - methodology involve finding an established trend which is flying high and join the trend with proper risk and optimal stop. Once you get into the trade, you will not exit unless there is change in the trend. Or in other words, the parameters which you used to define trend has reversed and the trend is not valid anymore.
🎯 Using bands
When price breaks out of upper bands (example, Bollinger Band , Keltener Channel, or Donchian Channel), with a pre determined length and multiplier, we can consider the trend to be bullish and similarly when price breaks down the lower band, we can consider the trend to be bearish .
🎯 Using Pivots
Simple logic using zigzag or pivot points is that when price starts making higher highs and higher lows, we can consider this as uptrend. And when price starts making lower highs and lower lows, we can consider this as downtrend. There are few supertrend implementations I have published in the past based on zigzags and pivot points .
Drawbacks of both of these methods is that there will be too many fluctuations in both cases unless we increase the reference length. And if we increase the reference length, we will have higher drawdown.
🎯 Band Based Zigzag Method
Here we use bands to define our pivot high and pivot low - this makes sure that we are identifying trend only on breakouts as pivots are only formed on breakouts
Our method also includes pivot ratio to cross over 1.0 to be able to consider it as trend. This means, we are waiting for price also to make new high high or lower low before making the decision on trend. But, this helps us ignore smaller pivot movements due to the usage of bands.
I have also implemented few tricks such as sticky bands (Bands will not contract unless there is breakout) and Adaptive Bands (Band will not expand unless price is moving in the direction of band). This makes the trend following method very robust.
To avoid fakeouts, we also use percentB of high/low in comparison with price retracement to define breakout.
🎲 Settings
Settings are fairly simpler and are explained as below. You will find most of the required information in tooltips.
BT-Bollinger Bands - Trend FollowingEsse script foi criado para estudo de Backtest.
O script usa as Bandas de Bollinger para indicar o início de uma tendência, a entrada é configurada quando o preço abre abaixo e fecha acima da banda superior ou para venda quando o preço abre acima e fecha abaixo da banda inferior.
Não há um stop fixo e nem alvo fixo a saída se dá quando o preço toca a média da banda.
Você pode usar uma média móvel como filtro combinado com a estratégia.
O Script também pode ser usado com algum serviço de bot como 3commas.io , basta colocar as mensagens de entrada e saída para o bot.
Autor : Credsonb - Nick: M4TR1X_BR
Neste gráfico estou usando as seguintes configurações:
Bandas Bollinger: 7
Desvio Padrão: 1.5
Time Frame: 12hs
Ticker: ETH
This script was created for Backtest study.
script uses Bollinger Bands to indicate the start of a trend, entry is set when price opens below and closes above the upper band or for short when price opens above and closes below the lower band.
There is no fixed stop and no fixed target, the exit occurs when the price touches the average of the band.
You can use a moving average as a filter combined with the strategy.
The Script can also be used with some bot service like 3commas. io , just put the input and output messages to the bot.
Author : Credsonb - Nick: M4TR1X_BR
3Commas Dollar cost averaging trading system (DCA)As investors, we often face the dilemma of willing high stock prices when we sell, but not when we buy. There are times when this dilemma causes investors to wait for a dip in prices, thereby potentially missing out on a continual rise. This is how investors get lured away from the markets and become tangled in the slippery slope of market timing, which is not advisable to a long-term investment strategy.
Skyrex developed a complex trading system based on dollar-cost averaging in Quick Fingers Luc's interpretation. It is a combinations of strategies which allows to systematically accumulate assets by investing scaled amounts of money at defined market cycle global support levels. Dollar-cost averaging can reduce the overall impact of price volatility and lower the average cost per asset thus even during market slumps only a small bounce is required to reach take profit.
The strategy script monitors a chart price action and identifies bases as they form. When bases are reached the script provides entry actions. During price action development an asset value can go lower and in this way the script will perform safety entries at each subsequent accumulation levels. When weighted average entry price reaches target profit the script will perform a take profit action.
Bases are identified as pivot lows in a fractal pattern and validated by an adjustable decrease/rise percentage to ensure significancy of identified bases. To qualify a pivot low, the indicator will perform the following validation:
Validate the price rate of change on drops and bounces is above a given threshold amount.
Validate the volume at the low pivot point is above the volume moving average (using a given length).
Validate the volume amount is a given factor of magnitude above is above the volume moving average.
Validate the potential new base is not too close to the previous range by using a given price percent difference threshold amount.
A fractal pattern is a recurring pattern on a price chart that can predict reversals among larger, more chaotic price movements.
These basic fractals are composed of five or more bars. The rules for identifying fractals are as follows:
A bearish turning point occurs when there is a pattern with the highest high in the middle and two lower highs on each side.
A bullish turning point occurs when there is a pattern with the lowest low in the middle and two higher lows on each side.
Basic dollar-cost averaging approach is enhances by implementation of adjustable accumulation levels in order to provide opportunity of setting them at defined global support levels and Martingale volume coefficient to increase averaging effect. According to Quick Fingers Luc's principles trading principles we added volume validation of a base because it allows to confirm that the market is resistant to further price decrease.
The strategy supports traditional and cryptocurrency spot, futures , options and marginal trading exchanges. It works accurately with BTC, USD, USDT, ETH and BNB quote currencies. Best to use with 1H timeframe charts and limit orders. The strategy can be and should be configured for each particular asset according to its global support and resistance levels and price action cycles. You can modify levels and risk management settings to receive better performance
The difference between core script and this interpretation is that this strategy is specially designed for 3Commas bots
How to use?
1. Apply strategy to a trading pair your are interested in using 1H timeframe chart
2. Configure the strategy: change layer values, order size multiple and take profit/stop loss values according to current market cycle stage
3. Set up a TradingView alert to trigger when strategy conditions are met
4. Strategy will send alerts when to enter and when to exit positions which can be applied to your portfolio using external trading platforms
5. Update settings once market conditions are changed using backtests on a monthly period
Trend trader + STC [CHFIF] - CV This script is my first strategy script coupling the Trend trader (indicator developed by Andrew Abraham in the Trading the Trend article of TASC September 1998.) and Schaff Trend Cycle . The STC indicator is widely used to identify trends and their directions. It is sometimes used by traders to predict trend reversals as well. Based on the movement of the Schaff Trend Cycle , buy or sell signals are generated, which are then used by traders to initiate either long or short positions.
Around I built a user interface to help you in creating a customized strategy to your need.
My idea behind doing this was to make customizable parameters and back testing easier than manually with a lot of flexibility and options. More possibility we have, more solutions we find right? So I started this script few weeks ago to be my first script (second in reality, but first to be published.)
Strategy it self is made out of 2 simple step:
1→ STC gives a Buy/Sell signal.
2→Price is closing above the TT (Buy) or below (Sell) and the signal is the same as given by the STC .
To complete your strategy in order to reach the best result, I added few options:
→ Money management: Define the type of risk you want to take (entry risk will always risk the same percentage of your portfolio disregarding the size of the SL, Fix amount of money, fix amount of the capital (portfolio). NOTE: Margin is not coded yet, target is to show liquidation price. Please keep an eye on the releases to know when it is released.
→ Stop loss and Take profit management: Define the type of target you want to use (ATR, fixed percentage, pivots points) and even customise different take profit level or activate the trailing. Each type of target is customizable via the menu
→ Moving average: You can also complete the strategy using different moving average. To draw it tick the box on the left, to use it in the calculation of the result, tick the box "Price>MA" in front of the needed EMA . You can select different type of MA ( SMA , EMA , DEMA , TEMA , RMA, HMA , WMA , VWAP , VWMA , etc...)
→ RSI: 4 possible approach to use the RSI to complement the strategy:
• OB/OS => short position will be taken only if RSI goes under the lower limit. Long if the RSI goes above the limit. Ticking confirmation will wait to cross back the limit to validate the condition
• Rev OB/OS => Short will be taken if RSI is below lower limit and stays below. Long will be taken if RSI is above upper limit and stays above.
• MA dominance => RSI has to be above MA for long, below for short. Confirmation box ticked requires 2 bars with the RSI on a side to validate signal.
• MA Dominance + limit => It is a combination of the requirement of the provious option and also Rev. OB/OS
→ Volume confirmation => This will consider the volume MA for entry confirmation. The volume will have to be above the MA define by the value entered in the field.
→ Waddah Attar explosion indicator can also be used as a filter for entries in this way:
• Explosion line > dead zone to validate entries
• Trend > dead zone to validate entry
• Both > dead zone is a compound of both rules above to get entry confirmation
→ ADX can also be used as a filter. I added 2 Threshold in order to have a minimum level of acceptance for valid entry but also a maximum level.
When your strategy is setup, you can setup alerts and I would recommend to setup the date range before doing the alerts. Why? Simply because the script do not cover pyramiding and will give a signal only if a trade is not ongoing.
In setting up the sessions at which you would want to trade, no signal within those range can be missed. You can setup 2 sessions, the days and also the global range of backtesting.
Cipher B divergencies for Crypto (Finandy support)Hello Traders!
In times of high volatility, it is important to follow a market-neutral strategy to protect your hard-earned assets. The simple script employs common buy/sell and/or divergencies signals from the VuManChu Cipher B indicator with fixed stop losses and takes profits. The signals are filtered by a local trend of a coin of interest and the global trend of Bitcoin. These trends-filtered signals demonstrated better performance on most of the back- and forward- tests for USDT cryptocurrency futures. The strategy is based on my real experience, it's a diamond I want to share with you.
In terms of visualization if the background is red and the price is below the yellow line then only a short position can be opened. Conversely, if the price is above the yellow line AND the background is green only a long position can be opened.
Inputs from VuManChu you can find on the top. Frankly, I do not know how they can help you to improve the performance of the strategy. My inputs of the script you can find in "Trend Settings" and "TP/SL Settings" at the bottom.
The checkbox "Only divergencies" lets to broadcast only more reliable buy/sell signals for a cost of rare deals.
The checkbox "Cancel all positions if price crosses local sma?" makes additional trailing stop loss. Usually, this function increases the win rate by "smoothing" the risk/reward ratio, as a usual stop loss does.
You can tune SL/TP based on backtesting.
To connect the script to Finandy just edit "name" and "secret" to connect your webhook (see the bottom of the script).
The rule of thumb for the strategy is "only divergencies" - ON, high reward/risk (TP/SL) ratio, 5 min timeframe on chart help with performance.
Finally, I am looking forward to feedback from you. If you have some cool features for my script in your mind, do not hesitate to leave them in the comments.
Good luck!
Customizable Non-Repainting HTF MACD MFI Scalper Bot Strategy v2Customizable Non-Repainting HTF MACD MFI Scalper Bot Strategy v2
This script was originally shared by Wunderbit as a free open source script for the community to work with. This is my second published iteration of this idea.
WHAT THIS SCRIPT DOES:
It is intended for use on an algorithmic bot trading platform but can be used for scalping and manual trading.
This strategy is based on the trend-following momentum indicator . It includes the Money Flow index as an additional point for entry.
This is a new and improved version geared for lower timeframes (15-5 minutes), but can be run on larger ones as well. I am testing it live as my high frequency trader.
HOW IT DOES IT:
It uses a combination of MACD and MFI indicators to create entry signals. Parameters for each indicator have been surfaced for user configurability.
Take profits are now trailing profits, and the stop loss is now fixed. Why? I found that the trailing stop loss with ATR in the previous version yields very good results for back tests but becomes very difficult to deploy live due to transaction fees. As you can see the average trade is a higher profit percentage than the previous version.
HOW IS MY VERSION ORIGINAL:
Now instead of using ATR stop loss, we have a fixed stop loss - counter intuitively to what some may believe this performs better in live trading scenarios since it gives the strategy room to move. I noticed that the ATR trailing stop was stopping out too fast and was eating away balance due to transaction fees.
The take profit on the other hand is now a trailing profit with a customizable deviation. This ensures that you can have a minimum profit you want to take in order to exit.
I have depracated the old ATR trailing stop as it became too confusing to have those as different options. I kept the old version for others that want to experiment with it. The source code still requires some cleanup, but its fully functional.
I added in a way to show RSI values and ATR values with a checkbox so that you can use the new an improved ATR Filter (and grab the right RSI values for the RSI filter). This will help to filter out times of very low volatility where we are unlikely to find a profitable trade. Use the "Show Data" checkbox to see what the values are on the indicator pane, then use those values to gauge what you want to filter out.
Both versions
Delayed Signals : The script has been refactored to use a time frame drop down. The higher time frame can be run on a faster chart (recommended on one minute chart for fastest signal confirmation and relay to algotrading platform.)
Repainting Issues : All indicators have been recoded to use the security function that checks to see if the current calculation is in realtime, if it is, then it uses the previous bar for calculation. If you are still experiencing repainting issues based on intended (or non intended use), please provide a report with screenshot and explanation so I can try to address.
Filtering : I have added to additional filters an ABOVE EMA Filter and a BELOW RSI Filter (both can be turned on and off)
Customizable Long and Close Messages : This allows someone to use the script for algorithmic trading without having to alter code. It also means you can use one indicator for all of your different alterts required for your bots.
HOW TO USE IT:
It is intended to be used in the 5-30 minute time frames, but you might be able to get a good configuration for higher time frames. I welcome feedback from other users on what they have found.
Find a pair with high volatility (example KUCOIN:ETH3LUSDT ) - I have found it works particularly well with 3L and 3S tokens for crypto. although it the limitation is that confrigurations I have found to work typically have low R/R ratio, but very high win rate and profit factor.
Ideally set one minute chart for bots, but you can use other charts for manual trading. The signal will be delayed by one bar but I have found configurations that still test well.
Select a time frame in configuration for your indicator calculations.
Select the strategy config for time frame (resolution). I like to use 5 and 15 minutes for scalping scenarios, but I am interested in hearing back from other community memebers.
Optimize your indicator without filters : customize your settings for MACD and MFI that are profitable with your chart and selected time frame calculation. Try different Take Profits (try about 2-5%) and stop loss (try about 5-8%). See if your back test is profitable and continue to optimize.
Use the Trend, RSI, ATR Filter to further refine your signals for entry. You will get less entries but you can increase your win ratio.
You can use the open and close messages for a platform integration, but I choose to set mine up on the destination platform and let the platform close it. With certain platforms you cannot be sure what your entry point actually was compared to Trading View due to slippage and timing, so I let the platform decide when it is actually profitable.
Limitations: this works rather well for short term, and does some good forward testing but back testing large data sets is a problem when switching from very small time frame to large time frame. For instance, finding a configuration that works on a one minute chart but then changing to a 1 hour chart means you lose some of your intra bar calclulations. There are some new features in pine script which might be able to address, this, but I have not had a chance to work on that issue.
The Impossible TraderTHE IMPOSSIBLE TRADER
A simple, but effective High Freq Strategy script based on MACD or RSI trend, with extra customizable Alert Messages for Bots.
WHAT IT DOES
This script (works best at lower TimeFrames) just follow the trend of MACD or RSI on your asset.
Why it should work? Because in an upper trend, there are more chance of green candles than reds. And in dump trend there are more chance of red candles than greens.
While trend is positive, it will try to open Long orders as fast as possible at market price.
While trend is negative, it will try to open Short orders as fast as possible at market price.
HOW TO SETUP YOUR PREFERENCES
Capital : Insert a % of Margin you want to use for your positions (usually 30% is quite good)
Leverage : Choose leverage based on your plans
Trail Tick @ : This value (in Tick) tell the script "when" the "Trail Stop" order must be activated (from the Entry price)
Offset Tick @ : This is the price (in Tick) from the Trail Stop Price activated. Basically it is a Stop Loss that follow the price at a fixed distance.
SL Tick @ : Set a Stop Loss at amount Tick distance from the Entry Price. (Let's call it a Safety Stop Loss for bad decisions...)
TP Tick @ : Set a Take Profit at amount Tick distance from the Entry Price. Sometimes is better to exit in full Gain than keep positions.
Strategy : You can choose a Only Long, Only Short or Long+Short sametime strategy.
with MACD or RSI : You can try the strategy applied on MACD or applied on customizable RSI EMA
EMA : If you choosed RSI EMA, you can set any value for your testing (usually 80-120 works very nice)
Exit order after bars : Some Exchanges / Brokers apply fixed cost, and a strategy too fast could not be productive. This set will let you to delay the Exit Order on already Opened positions.
Keep Stop Loss active : If you are planning a delay for Exit Orders, sometime could be useful to keep activated Stop Loss.
Strategy Preset : Some preset I've found interesting, with good results.
BackTest Days : If there are too many results and script doesn't work, you can choose a closer range to show results.
EXTRA FEATURES
On Screen Display : OSD will show you some realtime stats about your strategy, like Asset Tick, Trading Period Range, Drawdown, Gains and not closed trade.
Alert Message : You can enter custom Long Entry/Exit and Short Entry/Exit message for your Bots (like AutoView, WunderBit, etc...). When alert is triggered, you can send custom message with {{strategy.order.comment}} in the text field
AutoView Alert Message : If you are user of AutoView, you can generate your calls. Those are tested only on Oanda with index like Sp500, US100, Us30.
TIPS ON USE
Some asset on TradingView require an higher initial capital. Go to this Script Settings -> Properties and rise Initial Capital.
Be aware of commissions and spread when evalutating a strategy. Go to this Script Settings -> Properties and set Commission and Slippage
Trail Stop and Ticks could be difficult to understand, but very profitable. Please take your time and study how it works.
Consider Tick like the minimum movement your asset can do. Ticks occurs "intra-bar", so some of your positions could be closed almost instantly.
Consider Trail Stop like a Stop Loss that keep always the same distance from your positions, but never came back . If you are in gain, say of 10 Ticks, and your Trail have 5 Ticks, this means for sure a close at minimum 5 Ticks from Entry Price.
On Screen Display will show you Ticks for your asset. This will help you on strategy settings, because not all asset responds on the same way.
ONLY LONG EXAMPLE
ONLY SHORT EXAMPLE
Traling.SL.TargetTrailing SL and Target
I have seen few requests in PineScripters telegram group asking questions about implementation of trailing stop-loss (SL) and targets. This script is one of the way to implement the same.
This script is developed based on dark color theme and is best viewed using dark color theme.
How and where can this script be used:
The script is built to demonstrate how one can implement the trailing SL and target, so by referring the script one can mimic the approach and add trailing SL and target implementation in their own strategy.
How it works:
To demonstrate the SL and target implementation, i have considered simple EMA crossover strategy.
Key Input Parameters
Method to use for SL/Target trailing:
1. % Based Target and SL - Used to calculate trailing based on parameters defined under group '% Based Target SL'
2. Fixed point Based Target and SL - Used to calculate trailing based on parameters defined under group 'Fixed point Based Target and SL'
% Based Target and SL:
Initial profit % - This is used to calculate target when trade is initiated
Initial SL % - This is used to calculate SL when trade is initiated
Initiate trailing % - This parameter determines, when to start trailing SL and target.
Trail profit by % - Target would be trailed by % specified as this parameter
Trail SL by % - SL would be trailed by % specified as this parameter
e.g.
Trade type: - Long
Trade price: 10000
initial profit %: 1
Initial SL %: 1
Initiate trailing %: 0.5
Trail profit by %: 0.3
Trail SL by %: 0.4
Calculations based on above:
initial profit %: 10100 (trade price + 1%)
Initial SL %: 9900 (trade price - 1%)
Initiate trailing %: 10049.5 (initial profit - 0.5%)
Trail profit by %: 10130 (initial profit + 0.3%)
Trail SL by %: 9939.6 (initial SL + 0.4%)
For next iteration of Trailing SL and target above calculated values will be taken as a base and next set of values will be calculated. these calculations will continue till the trade is exited either on price reaching profit or SL point.
Fixed point Based Target and SL:
Initial profit target points - To derive initial target, parameter value is added to trade price in case of long trade.
Initial SL points - To derive SL point, parameter value is subtracted from trade price
Initiate trailing points - To derive start of trailing logic, parameter value is subtracted from initial profit point.
Trail profit by points - In case of long trade, parameter value is added to the profit target to derive new trailed profit target.
Trail SL by % - In case of long trade, parameter value is added to the SL initial point to derive new trailed SL.
Calculation of Trailing SL and target will continue till the trade is exited either on price reaching profit or SL point.
Plots displayed on the chart:
Apart from default trade markings i have added 3 shapes on the chart to describe working of Trailing SL and targets.
Diamond shape marks - These are added on the chart when trade is initiated. These shapes gives additional trade information by way of 'tooltip'. This information can be viewed by placing mouse pointer on the shape.
Circle shape marks - These are added on the chart whenever Trailing SL and targets are calculated. These shapes gives additional trade information by way of 'tooltip'. This information can be viewed by placing mouse pointer on the shape. You will also notice a number displayed just above or below circle denoting Trailing iteration.
Labels up and label down shapes - These are dynamically placed on the chart whenever trade is in progress. These labels will display ongoing trades, Target and SL points.
EHMA Range StrategyThis script is a modified version of @borserman's script for the Exponential Hull Moving Average
All credit for the EHMA goes to him :)
In addition to the EHMA, this script works with a range around the EHMA (which can be modified), in an attempt to be robust against fake signals. Many times a bar will close below a moving average, only to reverse again the next bar, which eats away at your profits. Especially on shorter timeframes, but also on choppy longer timeframes this can make a strategy unattractive to use.
With the range around the EHMA, the strategy only enters a long/exit-short position if a bar crosses above the upper range. Vice versa, it only enters a short/exit-long position if a bar crosses below the lower range. This avoids positions if bars behave choppy within the EHMA range & only enters a position if the market is confident in it's direction. Having said that, fakeouts are still possible, but a lot less frequent. Having backtested this strategy vs the regular EHMA strategy (and having experimented with various settings), this version seems to be a lot more robust & profitable!
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as good as in historical backtesting.
This post and the script don’t provide any financial advice.
CRYPTO TRADING BOT - 1min SCALPING LONG/SHORTHOW IT WORKS
The core concept behind the script is the determination of the current market mood in sense of creating a trendline indicator using EMA / SMA .
By using this trend indication alongside RSI / MACD value range, we are able to enter/exit the market in both directions: LONG and SHORT .
In case of confirmed false signals, we try to catch up the next good opportunity to minimise loss and to close the current trade.
If the chance for a good countertrade is given at this point, the market is going to be entered reversely.
Should the market move incredibly fast against our trade direction, we use proven Stop-loss targets, to bring our children into safety.
As many others, we could tell you now, that we used state-of-the-art machine learning algorithms
as well as highly sophisticated methods to gain our results.
As a fact, we started with an idea, using simple and common trading tools/indicators,
as a solid ground. We did not want to reinvent the wheel and it paid off.
GET A WORKING SCRIPT
The algorithm we are using has initially been created with a self-developed backtesting software.
To be able to deliver gas to our engine, we have bought a huge amount of OHLCV data for the 1min chart.
After many exhausting and frustrating weeks of our workflow-rotation (develop, fail, fix, test, repeat)
we finally got confirmation for all of our conditions/expectations, so we translated our algorithm into pine-code.
THE RESULTS
Since we have been using our Pine-Strategy alongside our backtesting software , we checked all the results provided by TradingView
and our tool to be 100% sure every outcome, every entry and every exit is exactly the same.
We did this for several months and since 2021 June we have been using it with real Alerts, coped to our binance account.
Below, you will find how the performance for the previous months looked like (every trade was made with 100% of the capital, of course using proper stop loss and take profit):
September 2020: 15.18%
October 2020: 36.17%
November 2020: 15.12%
December 2020: 48.58%
January 2021: 150.10%
February 2021: 45.96%
March 2021: 46.48%
April 2021: 4.96%
May 2021: 43.48%
June 2021: -28.99%
Juli 2021: 15.63%
August 2021 (so far): 11.57%
Accumulated Profit: 1,979.01%
To prove our results, we will link an excel sheet for every trade that was made within this timerange.
Link: docs.google.com
ABOUT US
We are two good friends, both incredibly interested in mathematics, software engineering, AI and algorithmics. After getting introduced into the crypto space
by a common friend, we started figuring out that there is a pattern behind every big or small move which happens in an asset.
This is where the passion for creating a CRYPTO TRADING BOT began. It was our goal, to create this script for the 1min Timeframe, so the software can react quickly when a
big or small move is happening - this is why it is called a SCALPING SCRIPT .
We are incredibly proud of this script and would like to share it with this amazing community - just hit us up on TradingView!
Zendog V2 backtest DCA bot 3commasHi everyone,
After a few iterations and additional implemented features this version of the Backtester is now open source.
The Strategy is a Backtester for 3commas DCA bots. The main usage scenario is to plugin your external indicator, and backtest it using different DCA settings.
Before using this script please make sure you read these explanations and make sure you understand how it works.
Features:
- Because of Tradingview limitations on how orders are grouped into Trades, this Strategy statistics are calculated by the script, so please ignore the Strategy Tester statistics completely
Statistics Table explained:
- Status: either all deals are closed or there is a deal still running, in which case additional info
is provided below, as when the deal started, current PnL, current SO
- Finished deals: Total number of closed deals both Winning and Losing.
A deal is comprised as the Base Order (BO) + all Safety Orders (SO) related to that deal, so this number
will be different than the Strategy Tester List of Trades
- Winning Deals: Deal ended in profit
- Losing deals: Deals ended with loss due to Stop Loss. In the future I might add a Deal Stop condition to
the script, so that will count towards this number as well.
- Total days ( Max / Avg days in Deal ):
Total Days in the Backtest given by either Tradingview limitation on the number of candles or by the
config of the script regarding "Limit Date Range".
Max Days spent in a deal + which period this happened.
Avg days spent in a deal.
- Required capital: This is the total capital required to run the Backtester and it is automatically calculated by
the script taking into consideration BO size, SO size, SO volume scale. This should be the same as 3commas.
This number overwrites strategy.initial_capital and is used to calculate Profit and other stats, so you don't need
to update strategy.initial_capital every time you change BO/SO settings
- Profit after commission
- Buy and Hold return: The PnL that could have been obtained by buying at the close of the first candle of the
backtester and selling at the last.
- Covered deviation: The % of price move from initial BO order covered by SO settings
- Max Deviation: Biggest market % price move vs BO price, in the other direction (for long
is down, for short it is up)
- Max Drawdown: Biggest market % price move vs Avg price of the whole Trade (BO + any SO), in the other
direction (for long price goes down, for short it goes up)
This is calculated for the whole Trade so it is different than List of Trades
- Max / Avg bars in deal
- Total volume / Commission calculated by the strategy. For correct commission please set Commission in the
Inputs Tab and you may ignore Properties Tab
- Close stats for deals: This is a list of how many Trades were closed at each step, including Stop Loss (if
configured), together with covered deviation for that step, the number of deals, and the percentage of this
number from all the deals
TODO: Might add deal avg value for each step
- Settings Table that can be enabled / disabled just to have an overview of your configs on the chart, this is a
drawn on bottom left
- Steps Table similar to 3commas, this is also drawn on bottom left, so please disable Settings table if you want
to see this one
TODO: Might add extra stats here
- Deal start condition: built in RSI-7 or plugin any external indicator and compare with any value the indicator plots
(main purpose of this strategy is to connect your own studies, so using external indicator is recommended)
- Base order and safety orders configs similar to 3commas (order size, percent deviation, safety orders,
percent scale and volume scale)
- Long and Short
- Stop Loss
- Support for Take profit from base order or from Total volume of the deal
- Configs help (besides self explanatory):
- Chart theme: Adjust according to the theme you run on. There is no way to detect theme at the moment.
This adjust different colors
- Deal Start Type: Either a builtin RSI7 or "External indicator"
- Indicator Source an value: If using External Indicator then select source, comparison and value.
For example you could start a deal when Volume is greater than xxxx, or code a custom indicator that plots
different values based on your conditions and test those values
- Visuals / Decimals for display: Adjust according to your symbol
- BO Entry Price for steps table: This is the BO start deal price used to calculate the steps in the table
