Heatmap MACD Strategy - Pineconnector (Dynamic Alerts)Hello traders
This script is an upgrade of this template script.
Heatmap MACD Strategy
Pineconnector
Pineconnector is a trading bot software that forwards TradingView alerts to your Metatrader 4/5 for automating trading.
Many traders don't know how to dynamically create Pineconnector-compatible alerts using the data from their TradingView scripts.
Traders using trading bots want their alerts to reflect the stop-loss/take-profit/trailing-stop/stop-loss to breakeven options from your script and then create the orders accordingly.
This script showcases how to create Pineconnector alerts dynamically.
Pineconnector doesn't support alerts with multiple Take Profits.
As a workaround, for 2 TPs, I had to open two trades.
It's not optimal, as we end up paying more spreads for that extra trade - however, depending on your trading strategy, it may not be a big deal.
TradingView Alerts
1) You'll have to create one alert per asset X timeframe = 1 chart.
Example : 1 alert for EUR/USD on the 5 minutes chart, 1 alert for EUR/USD on the 15-minute chart (assuming you want your bot to trade the EUR/USD on the 5 and 15-minute timeframes)
2) For each alert, the alert message is pre-configured with the text below
{{strategy.order.alert_message}}
Please leave it as it is.
It's a TradingView native variable that will fetch the alert text messages built by the script.
3) Don't forget to set the webhook URL in the Notifications tab of the TradingView alerts UI.
EA configuration
The Pyramiding in the EA on Metatrader must be set to 2 if you want to trade with 2 TPs => as it's opening 2 trades.
If you only want 1 TP, set the EA Pyramiding to 1.
Regarding the other EA settings, please refer to the Pineconnector documentation on their website.
Logger
The Pineconnector commands are logged in the TradingView logger.
You'll find more information about it from this TradingView blog post
Important Notes
1) This multiple MACDs strategy doesn't matter much.
I could have selected any other indicator or concept for this script post.
I wanted to share an example of how you can quickly upgrade your strategy, making it compatible with Pineconnector.
2) The backtest results aren't relevant for this educational script publication.
I used realistic backtesting data but didn't look too much into optimizing the results, as this isn't the point of why I'm publishing this script.
3) This template is made to take 1 trade per direction at any given time.
Pyramiding is set to 1 on TradingView.
The strategy default settings are:
Initial Capital: 100000 USD
Position Size: 1 contract
Commission Percent: 0.075%
Slippage: 1 tick
No margin/leverage used
For example, those are realistic settings for trading CFD indices with low timeframes but not the best possible settings for all assets/timeframes.
Concept
The Heatmap MACD Strategy allows selecting one MACD in five different timeframes.
You'll get an exit signal whenever one of the 5 MACDs changes direction.
Then, the strategy re-enters whenever all the MACDs are in the same direction again.
It takes:
long trades when all the 5 MACD histograms are bullish
short trades when all the 5 MACD histograms are bearish
You can select the same timeframe multiple times if you don't need five timeframes.
For example, if you only need the 30min, the 1H, and 2H, you can set your timeframes as follow:
30m
30m
30m
1H
2H
Risk Management Features
All the features below are pips-based.
Stop-Loss
Trailing Stop-Loss
Stop-Loss to Breakeven after a certain amount of pips has been reached
Take Profit 1st level and closing X% of the trade
Take Profit 2nd level and close the remaining of the trade
Custom Exit
I added the option ON/OFF to close the opened trade whenever one of the MACD diverges with the others.
Help me help the community
If you see any issue when adding your strategy logic to that template regarding the orders fills on your Metatrader, please let me know in the comments.
I'll use your feedback to make this template more robust. :)
What's next?
I'll publish a more generic template built as a connector so you can connect any indicator to that Pineconnector template.
Then, I'll publish a template for Capitalise AI, ProfitView, AutoView, and Alertatron.
Thank you
Dave
Cari dalam skrip untuk "bot"
ATR and IV Volatility TableThis is a volatility tool designed to get the daily bottom and top values calculated using a daily ATR and IV values.
ATR values can be calculated directly, however for IV I recommend to take the values from external sources for the asset that you want to trade.
Regarding of the usage, I always recommend to go at the end of the previous close day of the candle(with replay function) or beginning of the daily open candle and get the expected values for movements.
For example for 26April for SPX, we have an ATR of 77 points and the close of the candle was 4296.
So based on ATR for 27 April our TOP is going to be 4296 + 77 , while our BOT is going to be 4296-77
At the same time lets assume the IV for today is going to be around 25% -> this is translated to 25 / (sqrt (252)) = 1.57 aprox
So based on IV our TOP is going to be 4296 + 4296 * 0.0157 , while our BOT is going to be 4296 - 4296 * 0.0157
I found out from my calculations that 80-85% of the times these bot and top points act as an amazing support and resistence points for day trading, so I fully recommend you to start including them into your analysis.
If you have any questions let me know !
TrendsThe Trends indicator is created for trend trading and (Bitsgap) crypto bots of crypto assets over longer time periods.
Works best for 4h, Daily and Weekly candles (even Monthly), but unsuitable for hourly candles and day trading.
This indicator shows you if a crypto pair is in a Bear, Bull or Sideways market.
The idea is to simplify decision making when to sell or buy, or what pairs to use with trading bots.
Stick to the rule of not having bots in a Bear trend!
- Blue = Bull trend
- Red = Bear trend
- Green = Sideways trend - which can be profitable with trading bots
Mazuuma Churn IndicatorThis indicator was specifically made to confirm a periode of sideways movement (churn) on Bitcoin. It can probably be used for other cryptocurrencies as well. I use it on the daily timeframe.
Yellow means "Unconfirmed".
Orange means "Partially Confirmed".
Red means "Confirmed"
The indicator is not perfect, so use your common sense.
Churn starts when at least 2 of the conditions below are met (use also your common sense):
1. ATR < MA 20 on ATR
2. Distance to EMA 200 must be ≤ 16% at “Open churn”
3. EMA 12 on RSI between 40 and 60
4. ADX < 25
The above are weighted. Meaning no 1 has most significance. The numbers can be tweaked.
Reversal coming
* The indicators above break out, especially the ATR
* Color shift of the Heikin Ashi candle on weekly timeframe
* Engulfing candle on weekly timeframe
Because of the offset of the EMA 200, the precision of the Churn predictor can be off after a VERY big spike up or down, e.g. dec 2017. After such a spike use your common sense.
Personally I use this for bot trading, i.e. turn off trend following bots when in sideways market and use grid bots or other means of trading instead.
Multi VWAPMulti VWAP indicator for Wick Hunter
For when you are running out of indicator slots
Can configure each set for Setting 1/2/3, or for Binance bot 1/Binance bot 2/Bybit bot, etc.
By honeybadger, built on original code by STP Todd (see indicator "Wick Hunter VWAP")
BTC 15 minThis strategy try to catch the uptrend mainly (seems to work on BTC 15 less on others)
the aim is to get 2% in uptrend which is more easy to do then to search only for lowest
since it buy in uptrend it can risky if market change direction
there are two take profit (1% and 2% ) , you take out 50% of equity after the first 1% gain
the stop loss and re buy set 5%
so you exit after 5 % loss and re buy it again at lower price
the aim here is to do leverage trades so you can calculate your risk or lot and the leverage power you want
now set on 100% lot leverage X1
you can try any combination you want but when you do leverage trading you need to do things that the back tester of TV cannot do so well
for example if you put 100X leverage you will be liquidated at 1%
50=2%
20=5%
10=10%
5=20%
you need that your stop loss will be above the liquidation level
stop loss are shit in margin trades as they can kick you out very fast and you will lose many good trades
so I prefer 5X max 10 X trade (this bot can work by himself but i prefer to do it manually for this kind of trades.
all u need to do is to choose what risk you want to have (3% of lot? 5%, 10% or higher )
so this tool try to give you upward buy strategy that aim to get longs at upward trends (short targets that are more easy to get )
and to use leverage as way to make more profit (now bot set to no leverage )
be wise with your money :)
the bot not suppose to repaint but if you find repaint issue then let me know
buy system is based on cross of linear over modified non repainted HMA that set to 1 min (so it buy the uptrend only+ filter based on ema that try not to start cycle of buy in down traade
sell is not so important is mainly cased on percentage channel seen
trend color on Chanel not related to the buy and sell system
Kirk65 UTBot Strategy FixedCredits to @HPotter for the orginal code.
Credits to @Yo_adriiiiaan for recently publishing the UT Bot study based on the original code.
Credits to @TradersAITradingPlans for making UT Bot strategy.
Strategy fixed with time period by Kirk65.
UT Bot works great with 2 hour time frame with Heikin Ashi, but riskier. Use "Once per bar" In alerts with 1.5% stoploss. If the price goes against Alerts, stoploss will save your assets. Wait until next Alert.
4 hour time frame is less risky and less profitable.
Happy trading..
Kirk65
Bottom and Top finder [theUltimator5]🧭 Bottom and Top Finder — Multi-Symbol Momentum Divergence Detector
The Bottom and Top Finder by theUltimator5 is a highly configurable, momentum-based indicator designed to identify potential market reversal points using a multi-symbol relative strength comparison framework. It evaluates Directional Movement Index (DMI) values from up to three correlated or macro-influential assets to determine when the current instrument may be approaching a bottom (oversold exhaustion) or a top (overbought exhaustion).
🧠 How It Works
This script computes both the +DI (positive directional index) and -DI (negative directional index) for:
The currently selected chart symbol
Up to three user-defined reference symbols (e.g., sector leaders, macro ETFs, currencies, volatility proxies)
It uses a logarithmic percent-change approach to normalize all movement metrics, ensuring results are scale-invariant and price-neutral — meaning it works consistently whether a stock trades at $1 or $100,000. This makes the comparison between different assets meaningful, even if they trade on different scales or volatility levels.
The indicator then:
Compares the +DI values of the reference symbols to the current symbol’s +DI → seeking bottoming signals (suggesting the current symbol is unusually weak).
Compares the -DI values of the reference symbols to the current symbol’s -DI → seeking topping signals (suggesting the current symbol is unusually strong on the downside).
These comparisons are aggregated using a weighted average, where you control the influence (multiplier) of each reference symbol.
🔁 Trigger Logic
The indicator generates two dynamic lines:
Bot Line (Bottom Line): Based on reference +DI vs. current +DI
Top Line: Based on reference -DI vs. current -DI
If the Bot Line rises above the user-defined threshold, it may signal that capitulation or oversold conditions are developing. Similarly, if the Top Line rises above its threshold, it may indicate a blow-off top or overbought selling pressure.
To avoid false positives, a second smoothing-based condition must also be met:
The line must significantly exceed its moving average, confirming momentum divergence.
When both conditions are true, the indicator highlights the background in light red (bottom alert) or green (top alert) for easy visual scanning.
🔧 Key Inputs & Customization
You can fine-tune this tool using the following parameters:
Smoothing Length: Controls how smooth or sensitive the DI values are.
Reference Symbols: Up to 3 assets (default: RSP, HYG, DXY) — customizable for sector, macro, or inverse relationships.
Influence Multipliers: Adjust the weight each symbol has on the overall signal.
Display Options:
Toggle to highlight the chart background during trigger conditions.
Toggle to display a real-time table of reference symbols and their influence levels.
📈 Visual Output
Two plotted lines: One for bottoms and one for tops
Dynamically colored based on how far they exceed thresholds
Background highlights to mark trigger zones
Optional table displaying the current reference symbol setup and weights
🛠 Best Use Cases
This tool is ideal for:
Identifying short-term tops or bottoms using momentum exhaustion
Spotting divergences between an asset and broader market or sector health
Macro analysis with assets like SPY, QQQ, GME, MSFT, BTC, etc...
Pair trading signals or market breadth confirmation/disagreement
It complements other technical indicators like RSI, MACD, Bollinger Bands, or price structure patterns (double bottoms/tops, etc.)
Swiss Knife [MERT]Introduction
The Swiss Knife indicator is a comprehensive trading tool designed to provide a multi-dimensional analysis of the market. By integrating a wide array of technical indicators across multiple timeframes, it offers traders a holistic view of market sentiment, momentum, and potential reversal points. This indicator is particularly useful for traders looking to combine trend analysis, momentum indicators, volume data, and price action into a single, easy-to-read format.
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Key Features
Multi-Timeframe Analysis : Evaluates indicators on Daily , 4-Hour , 1-Hour , and 15-Minute timeframes.
Comprehensive Indicator Suite : Incorporates MACD , Awesome Oscillator (AO) , Parabolic SAR , SuperTrend , DPO , RSI , Stochastic Oscillator , Bollinger Bands , Ichimoku Cloud , Chande Momentum Oscillator (CMO) , Donchian Channels , ADX , volume-based momentum indicators, Fractals , and divergence detection.
Market Sentiment Scoring : Aggregates signals from multiple indicators to provide an overall sentiment score.
Visual Aids : Displays EMA lines, trendlines, divergence signals, and a sentiment table directly on the chart.
Super Trend Reversal Signals : Identifies potential market reversal points by assessing the momentum of automated trading bots.
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Explanation of Each Indicator
Moving Average Convergence Divergence (MACD)
- Purpose : Measures the relationship between two moving averages of price.
- Interpretation : A positive histogram suggests bullish momentum; a negative histogram indicates bearish momentum.
Awesome Oscillator (AO)
- Purpose : Gauges market momentum by comparing recent market movements to historic ones.
- Interpretation : Above zero indicates bullish momentum; below zero indicates bearish momentum.
Parabolic SAR (SAR)
- Purpose : Identifies potential reversal points in price direction.
- Interpretation : Dots below price suggest an uptrend; dots above price suggest a downtrend.
SuperTrend
- Purpose : Determines the prevailing market trend.
- Interpretation : Provides buy or sell signals based on price movements relative to the SuperTrend line.
Detrended Price Oscillator (DPO)
- Purpose : Removes trend from price to identify cycles.
- Interpretation : Values above zero suggest price is above the moving average; values below zero indicate it is below.
Relative Strength Index (RSI)
- Purpose : Measures the speed and change of price movements.
- Interpretation : Values above 50 indicate bullish momentum; values below 50 indicate bearish momentum.
Stochastic Oscillator
- Purpose : Compares a particular closing price to a range of its prices over a certain period.
- Interpretation : Values above 50 indicate bullish conditions; values below 50 indicate bearish conditions.
Bollinger Bands (BB)
- Purpose : Measures market volatility and provides relative price levels.
- Interpretation : Price above the middle band suggests bullishness; below the middle band suggests bearishness.
Ichimoku Cloud
- Purpose : Provides support and resistance levels, trend direction, and momentum.
- Interpretation : Bullish signals when price is above the cloud; bearish signals when price is below the cloud.
Chande Momentum Oscillator (CMO)
- Purpose : Measures momentum on both up and down days.
- Interpretation : Values above 50 indicate strong upward momentum; values below -50 indicate strong downward momentum.
Donchian Channels
- Purpose : Identifies volatility and potential breakouts.
- Interpretation : Price above the upper band suggests bullish breakout; below the lower band suggests bearish breakout.
Average Directional Index (ADX)
- Purpose : Measures the strength of a trend.
- Interpretation : DI+ above DI- indicates bullish trend; DI- above DI+ indicates bearish trend.
Volume Momentum Indicators (VolMom, CumVolMom, POCMom)
- Purpose : Analyze volume to assess buying and selling pressure.
- Interpretation : Positive values suggest bullish volume momentum; negative values indicate bearish volume momentum.
Fractals
- Purpose : Identify potential reversal points in the market.
- Interpretation : Up fractals may indicate a future downtrend; down fractals may indicate a future uptrend.
Divergence Detection
- Purpose : Identifies divergences between price and various indicators (RSI, MACD, Stochastic, OBV, MFI, A/D Line).
- Interpretation : Bullish divergences suggest potential upward reversal; bearish divergences suggest potential downward reversal.
- Note : This functionality utilizes the library from Divergence Indicator .
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Coloring Scheme
Background Color
- Purpose : Reflects the overall market sentiment by combining sentiment scores from all indicators across different timeframes.
- Interpretation :
- Green Shades : Indicate bullish market sentiment.
- Red Shades : Indicate bearish market sentiment.
- Intensity : The strength of the color corresponds to the strength of the sentiment score.
Sentiment Table
- Purpose : Displays the status of each indicator across different timeframes.
- Interpretation :
- Green Cell : The indicator suggests a bullish signal.
- Red Cell : The indicator suggests a bearish signal.
- Percentage Score : Indicates the overall bullish or bearish sentiment on that timeframe.
Exponential Moving Averages (EMAs)
- Purpose : Provide dynamic support and resistance levels.
- Colors :
- EMA 10 : Lime
- EMA 20 : Yellow
- EMA 50 : Orange
- EMA 100 : Red
- EMA 200 : Purple
Trendlines
- Purpose : Visual representation of support and resistance levels based on pivot points.
- Interpretation :
- Upward Trendlines : Colored green , indicating support levels.
- Downward Trendlines : Colored red , indicating resistance levels.
- Note : Trendlines are drawn using the library from Simple Trendlines .
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Utility of Market Sentiment
The indicator aggregates signals from multiple technical indicators across various timeframes to compute an overall market sentiment score . This comprehensive approach helps traders understand the prevailing market conditions by:
Confirming Trends : Multiple indicators pointing in the same direction can confirm the strength of a trend.
Identifying Reversals : Divergences and fractals can signal potential turning points.
Timeframe Alignment : Aligning signals across different timeframes can enhance the probability of successful trades.
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Divergences
Divergence occurs when the price of an asset moves in the opposite direction of a technical indicator, suggesting a potential reversal.
- Bullish Divergence : Price makes a lower low, but the indicator makes a higher low.
- Bearish Divergence : Price makes a higher high, but the indicator makes a lower high.
The indicator detects divergences for:
RSI
MACD
Stochastic Oscillator
On-Balance Volume (OBV)
Money Flow Index (MFI)
Accumulation/Distribution Line (A/D Line)
By identifying these divergences, traders can spot early signs of trend reversals and adjust their strategies accordingly.
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Trendlines
Trendlines are essential tools for identifying support and resistance levels. The indicator automatically draws trendlines based on pivot points:
- Upward Trendlines (Support) : Connect higher lows, indicating an uptrend.
- Downward Trendlines (Resistance) : Connect lower highs, indicating a downtrend.
These trendlines help traders visualize the trend direction and potential breakout or reversal points.
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Super Trend Reversals (ST Reversal)
The core idea behind the Super Trend Reversals indicator is to assess the momentum of automated trading bots (often referred to as 'Supertrend bots') that enter the market during critical turning points. Specifically, the indicator is tuned to identify when the market is nearing bottoms or peaks, just before it shifts direction based on the triggered Supertrend signals. This approach helps traders:
Engage Early : Enter the market as reversal momentum builds up.
Optimize Entries and Exits : Enter under favorable conditions and exit before momentum wanes.
By capturing these reversal points, traders can enhance their trading performance.
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Conclusion
The Swiss Knife indicator serves as a versatile tool that combines multiple technical analysis methods into a single, comprehensive indicator. By assessing various aspects of the market—including trend direction, momentum, volume, and price action—it provides traders with valuable insights to make informed trading decisions.
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Citations
- Divergence Detection Library : Divergence Indicator by DevLucem
- Trendline Drawing Library : Simple Trendlines by HoanGhetti
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Note : This indicator is intended for informational purposes and should be used in conjunction with other analysis techniques. Always perform due diligence before making trading decisions.
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Super Trend ReversalsMain Concept
The core idea behind the Super Trend Reversals indicator is to assess the momentum of automated trading bots (often referred to as 'Supertrend bots') that enter the market during critical turning points. Specifically, the indicator is tuned to identify when the market is nearing bottoms or peaks, but just before it shifts direction based on the triggered Supertrend signals. This approach helps traders engage with the market right as the reversal momentum builds up, allowing for entry just as conditions become favorable and exit before momentum wanes.
How It Works
The Super Trend Reversals uses multiple Supertrend calculations, each with different period and multiplier settings, to form a comprehensive view of the trend. The total trend score from these calculations is then analyzed using the Relative Strength Index (RSI) and Exponential Moving Averages (EMA) to gauge the strength and sustainability of the trend.
A key feature of this indicator is the isCurrentRangeSmaller() function, which evaluates if the current price range is lower than the average over the recent period. This function is critical as it helps determine the stability of the market environment, reducing the likelihood of entering or exiting trades based on erratic price movements that could lead to false signals.
speed of tradesThis indicator calculates the speed of trades, on other platform that is called speed of tape, but they said you need delta and others for the calculation.
Calculation method
This indicator calculates the number of trades per bar and filter it, if they are above a sma it highlights the column to know that could be a bar where there are more trades than usual.
It's based on an example of pinescript v5 user manual where explain the use of varip
HF Bots filter and common uses
know where there are more trades than usual help you to have an idea that could be HF Bots working on that bar, also if you dont belive on that, can also help you to have an idea of momentum or stoping action.
Why is this indicator original?
The speed of trades indicator give you an counter of number of trades and a filter for bars where there are a lot of trades, so searching speed of tape/trades indicator that don't exist on tradingview, this indicator is original.
How to charge data?
By default it doesn't load historical tick data, this indicator only works on realtime bars.
[DisDev] D-I-Y Gridbot🟩 This script is a “do-it-yourself” Grid Bot Simulator, used for visualizing support and resistance levels. Prices are divided into grids, or trade zones, that will trigger signals each time a new zone is entered. During ranging markets, each transaction is followed by a “take profit.” As the market starts to trend, transactions are stacked (compare to DCA ), until the market consolidates. No signals are triggered above the upper gridline or below the lower gridline. Unlike the previous version, all grids may be adjusted in real-time by dragging the gridlines up and down to the desired support and resistance levels.
When adding the indicator to a new chart, you must choose six grid levels by clicking on the desired support or resistance price. You can change all of these levels at any time directly on the chart.
⚡ OVERVIEW ⚡
The D-I-Y Gridbot is an interactive tool designed for visualizing support and resistance levels. As a continuation of the original Gridbot Simulator , which has received significant recognition on TradingView, earning over 4000 boosts and an Editor's Pick status. This tool serves not only as an evolved version of its predecessor, but also as an open-source template for developing future gridbots. It aims to foster discussions and facilitate innovations around grid-trading strategies.
One of the new features of this gridbot is the real-time adjustability of all gridlines. Users can move these lines up and down to set their desired support and resistance levels in response to changing market conditions. Additionally, the D-I-Y Gridbot is compatible with multiple timeframes and can be used on most TradingView charts.
Drag gridlines up or down to desired price level.
Key Features 🔑
All gridlines are adjustable in real-time, directly on the chart
Signals can be filtered by a customizable moving average or by VWAP
Customizable support and resistance levels
Potentially increases profitability in ranging markets
Benefits 💸
Customizable Support and Resistance Levels : The D-I-Y Gridbot allows users to set their preferred support and resistance levels, which can be changed at any time directly on the chart. This provides users with the ability to customize their trading parameters based on their strategy and risk tolerance.
Various Trading Strategies : The D-I-Y Gridbot supports various trading strategies, including Mean Reversion, Ranging Markets, and Dollar-cost averaging (DCA). This allows users to capitalize on price reversals, execute buy and sell orders at predetermined levels, and buy more of an asset as the price falls, respectively.
Multi-Timeframe and Versatility : The D-I-Y Gridbot is compatible with multiple timeframes and can be used on any TradingView chart.
Experimental and Educational : The D-I-Y Gridbot is considered a proof-of-concept tool that is both experimental and educational. This can provide traders with a deeper understanding of grid trading strategies and the ability to experiment with different trading parameters and strategies.
⚙️ CONFIGURATION & SETTINGS ⚙️
Inputs 🔧
Trigger : Candle location to trigger the signal. "Wick" will use either high or low, depending on the signal direction. "Close" will use the close price. “MA” will use the selected moving average or VWAP.
Confirmation : Market direction to confirm the candle trigger. "Reverse" will confirm the signal when the price crosses back over the trigger. "Breakout" will confirm when the price breaks out of the trigger.
Number of Support/Resistance zones : 1 = Only Top Grid is Support/Only Bottom Grid is Resistance. 2 = Top two grids are Resistance/Bottom two grids are Support. 3 = Top three grids are Resistance/Bottom three grids are Support
MA Type : Exponential Moving Average (EMA), Hull Moving Average (HMA), Simple Moving Average (SMA), Triple Exponential Moving Average (TEMA), Volume Weighted Moving Average (VWMA), Volume Weighted Average Price (VWAP)
MA Filter : Use Moving Average as a reversion filter for signals. When enabled, no buys when above MA, no sells when below. Use in conjunction with S/R zones to reduce false signals.
Allow Repeat Signals . When enabled, signals will reset when nearest gridline is triggered. When disabled, only one signal will be triggered per gridline.
Line/Fill colors
Gridlines . Adjusts gridline prices manually.
Left : Trigger = Wick. Confirm = Breakout. Buys are signaled when LOW breaks below gridline. Sells are triggered when HIGH breaks above gridline.
Right : Trigger = Close. Confirm = Breakout. Buys are signaled when the candle CLOSES below the gridline. Sells are triggered when the candle CLOSES above the gridline.
Left : Confirm=Breakout. Signals on breaking through the next gridline.
Right : Confirm=Reverse. Signals only when crossing back from the gridline.
S/R Zones=1. Upper gridline is Resistance / Lower is Support. Middle 4 are neutral.
S/R Zones = 3. Upper three gridlines are Resistance / Lower three are Support
Notes:
If gridlines are dragged out of order on a live chart, they will auto-sort into the correct order.
Price levels may be entered in settings, or adjusted in real-time directly on the chart.
When changing symbols, remember to adjust the gridlines to accommodate the new symbol.
Alerts 🔔
Users can set alerts based on their chosen parameters for triggers, confirmations, number of support/resistance zones, and smoothing type, enabling precise control over alert conditions.
💡 USAGE & STRATEGY 💡
Trading Strategies 📈
Mean Reversion: The script can be used to capitalize on price reversals back to the mean.
Ranging Markets: The script excels in ranging markets, executing buy and sell orders at predetermined levels.
Dollar-cost averaging (DCA): The script can be used to execute DCA orders, buying more of an asset as the price falls, and lowering the average cost per unit.
Timeframes and Symbols ⌚
Multi-Timeframe: The indicator is compatible with multiple timeframes.
Versatile: Can be used on any crypto trading pair on TradingView.
🤖 DETAILS & METHODOLOGY 🤖
Algorithm and Calculation 🛡️
Grids are set and adjusted when loading the indicator on the chart and may be customized anytime afterward by clicking and dragging the gridlines on the chart.
Gridlines are updated, sorted, and stored in a float array.
Signals are calculated based on candle trigger, market direction, and previous price level.
📚 ADDITIONAL RESOURCES 📚
Chart Examples 📊
S/R Zones = 3: Three Support and Three Resistance. Filter = 50-period Triple Exponential Moving Average (TEMA)
S/R Zones = 1: One Support, One Resistance, and Four Neutral Zones. Support Zones: Buys only. Resistance Zones: Sells only. Neutral Zones: Grid-dependent
When MA filter is enabled, Buys are only triggered below Moving Average, and Sells are only triggered above.
Trigger = Wick. Confirmation = Breakout. Buys are signaled when Low breaks above the next grid level. Sells are signaled when High breaks below the next grid level.
🚀 CONCLUSION 🚀
The D-I-Y Gridbot is a proof-of-concept, emphasizing its experimental and educational nature. In future versions, we will aim to incorporate concepts such as auto-adjusting grids and angled grids for trending markets. The script is designed to evolve through user feedback and suggestions, shaping its future iterations.
Credit: This is a continuation of the Gridbot series by xxattaxx-DisDev . Explicit permission was granted by user xxattaxx-disdev to re-use all Gridbot code and all materials without restrictions.
⚠️ DISCLAIMER ⚠️
This indicator is a proof-of-concept and is considered experimental and educational. When gridlines are drawn in hindsight, signals appear to be predictive and valid. Future results may always vary when the trend direction changes. Comments and suggestions are encouraged.
This indicator is provided as a tool for traders and should not be used as the sole basis for making trading decisions. Always conduct your own research and consider your risk tolerance before entering any trades.
Keltner Trend V3It's just a simple keltner trend with options added to:
Eradicate repainting
more MAs
Json alerts (useful for bots)
I recommend using "open" option for all sources if you are going to use it with a bot, or if you want to be safe and enter with confirmations. Using the default settings would also show you all the entries without repainting as it uses high and low prices to check breakouts and not solely the close price (which is generally a false representative in historic analysis).
My favorite lengths are 7, 14, and 21. There is no specific reason, they just seem to work well most of the time. You can (and should) optimize it to your purposes.
Thanks to the original author @jaggedsoft this script is just a improved version of theirs.
Сoncentrated Market Maker Strategy by oxowlConcentrated Market Maker Strategy by oxowl. This script plots an upper and lower bound for liquidity provision, and checks for rebalancing conditions. It also includes alert conditions for when the price crosses the upper or lower bounds.
Here's an overview of the script:
It defines the input parameters: liquidity range percentage, rebalance frequency in minutes, and minimum trade size in assets.
It calculates the upper and lower bounds for liquidity provision based on the liquidity range percentage.
It initializes variables for the last rebalance time and price.
It defines a rebalance condition based on the frequency and current price within the specified range.
If the rebalance condition is met, it updates the last rebalance time and price.
It plots the upper and lower bounds on the chart as lines and adds price labels for both bounds.
It defines alert conditions for when the price crosses the upper or lower bounds.
Finally, it creates alert conditions with appropriate messages for when the price crosses the upper or lower bounds.
Concentrated liquidity is a concept often used in decentralized finance (DeFi) market-making strategies. It allows liquidity providers (LPs) to focus their liquidity within a specific price range, rather than across the entire price curve. Using an indicator with concentrated liquidity can offer several advantages:
Increased capital efficiency: Concentrated liquidity allows LPs to allocate their capital within a narrower price range. This means that the same amount of capital can generate more significant price impact and potentially higher returns compared to providing liquidity across a broader range.
Customized risk exposure: LPs can choose the price range they feel most comfortable with, allowing them to better manage their risk exposure. By selecting a range based on their market outlook, they can optimize their positions to maximize potential returns.
Adaptive strategies: Indicators that support concentrated liquidity can help traders adapt their strategies based on market conditions. For example, they can choose to provide liquidity around a stable price range during low-volatility periods or adjust their range when market conditions change.
To continue integrating this script into your trading strategy, follow these steps:
Import the script into your TradingView account. Navigate to the Pine editor, paste the code, and save it as a new script.
Apply the indicator to a trading pair chart. You can customize the input parameters (liquidity range percentage, rebalance frequency, and minimum trade size) based on your preferences and risk tolerance.
Set alerts for when the price crosses the upper or lower bounds. This will notify you when it's time to take action, such as adding or removing liquidity, or rebalancing your position.
Monitor the performance of your strategy over time. Adjust the input parameters as needed to optimize your returns and manage risk effectively.
(Optional) Integrate the script with a trading bot or automation platform. If you're using an API-based trading solution, you can incorporate the logic and conditions from the script into your bot's algorithm to automate the process of providing concentrated liquidity and rebalancing your positions.
Remember that no strategy is foolproof, and past performance is not indicative of future results. Always exercise caution when trading and carefully consider your risk tolerance.
Futures/Spot Ratiowhat is Futures /Spot Ratio?
Although futures and spot markets are separate markets, they are correlated. arbitrage bots allow this gap to be closed. But arbitrage bots also have their limits. so there are always slight differences between futures and spot markets. By analyzing these differences, the movements of the players in the market can be interpreted and important information about the price can be obtained. Futures /Spot Ratio is a tool that facilitates this analysis.
what it does?
it compresses the ratio between two selected spot and futures trading pairs between 0 and 100. its purpose is to facilitate use and interpretation. it also passes a regression (Colorful Regression) through the middle of the data for the same purpose.
about Colorful Regression:
how it does it?
it uses this formula:
how to use it?
use it to understand whether the market is priced with spot trades or leveraged positions. A value of 50 is the breakeven point where the ratio of the spot and leveraged markets are equal. Values above 50 indicate excess of long positions in the market, values below 50 indicate excess of short positions. I have explained how to interpret these ratios with examples below.
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!
libKageMiscLibrary "libKageMisc"
Kage's Miscelaneous library
print(_value)
Print a numerical value in a label at last historical bar.
Parameters:
_value : (float) The value to be printed.
Returns: Nothing.
barsBackToDate(_year, _month, _day)
Get the number of bars we have to go back to get data from a specific date.
Parameters:
_year : (int) Year of the specific date.
_month : (int) Month of the specific date. Optional. Default = 1.
_day : (int) Day of the specific date. Optional. Default = 1.
Returns: (int) Number of bars to go back until reach the specific date.
bodySize(_index)
Calculates the size of the bar's body.
Parameters:
_index : (simple int) The historical index of the bar. Optional. Default = 0.
Returns: (float) The size of the bar's body in price units.
shadowSize(_direction)
Size of the current bar shadow. Either "top" or "bottom".
Parameters:
_direction : (string) Direction of the desired shadow.
Returns: (float) The size of the chosen bar's shadow in price units.
shadowBodyRatio(_direction)
Proportion of current bar shadow to the bar size
Parameters:
_direction : (string) Direction of the desired shadow.
Returns: (float) Ratio of the shadow size per body size.
bodyCloseRatio(_index)
Proportion of chosen bar body size to the close price
Parameters:
_index : (simple int) The historical index of the bar. Optional. Default = 0.()
Returns: (float) Ratio of the body size per close price.
lastDayOfMonth(_month)
Returns the last day of a month.
Parameters:
_month : (int) Month number.
Returns: (int) The number (28, 30 or 31) of the last day of a given month.
nameOfMonth(_month)
Return the short name of a month.
Parameters:
_month : (int) Month number.
Returns: (string) The short name ("Jan", "Feb"...) of a given month.
pl(_initialValue, _finalValue)
Calculate Profit/Loss between two values.
Parameters:
_initialValue : (float) Initial value.
_finalValue : (float) Final value = Initial value + delta.
Returns: (float) Profit/Loss as a percentual change.
gma(_Type, _Source, _Length)
Generalist Moving Average (GMA).
Parameters:
_Type : (string) Type of average to be used. Either "EMA", "HMA", "RMA", "SMA", "SWMA", "WMA" or "VWMA".
_Source : (series float) Series of values to process.
_Length : (simple int) Number of bars (length).
Returns: (float) The value of the chosen moving average.
xFormat(_percentValue, _minXFactor)
Transform a percentual value in a X Factor value.
Parameters:
_percentValue : (float) Percentual value to be transformed.
_minXFactor : (float) Minimum X Factor to that the conversion occurs. Optional. Default = 10.
Returns: (string) A formated string.
isLong()
Check if the open trade direction is long.
Returns: (bool) True if the open position is long.
isShort()
Check if the open trade direction is short.
Returns: (bool) True if the open position is short.
lastPrice()
Returns the entry price of the last openned trade.
Returns: (float) The last entry price.
barsSinceLastEntry()
Returns the number of bars since last trade was oppened.
Returns: (series int)
getBotNameFrosty()
Return the name of the FrostyBot Bot.
Returns: (string) A string containing the name.
getBotNameZig()
Return the name of the FrostyBot Bot.
Returns: (string) A string containing the name.
getTicksValue(_currencyValue)
Converts currency value to ticks
Parameters:
_currencyValue : (float) Value to be converted.
Returns: (float) Value converted to minticks.
getSymbol(_botName, _botCustomSymbol)
Formats the symbol string to be used with a bot
Parameters:
_botName : (string) Bot name constant. Either BOT_NAME_FROSTY or BOT_NAME_ZIG. Optional. Default is empty string.
_botCustomSymbol : (string) Custom string. Optional. Default is empy string.
Returns: (string) A string containing the symbol for the bot. If all arguments are empty, the current symbol is returned in Binance format.
showProfitLossBoard()
Calculates and shows a board of Profit/Loss through the years.
Returns: Nothing.
GRIDBOT Scalper by nnamWhat is this Indicator used for?
Made specifically for GRID Bots
note: before continuing... this indicator works on any timeframe, but it WORKS BEST ON THE 15 MINUTE TIMEFRAME
Straters and Forex Master Pattern Value Line Traders use this to help determine when the price could reverse.
This indicator is a scalping indicator that produces signals when a "potential" reversal in price is indicated. When the price moves UP and a Potential Bearish Reversal Signal occurs, traders can use this signal as a potential SHORT entry signal for their Short Grid Bot. The process is the same in reverse. After a sustained move down, a Potential Bullish Signal can be used by the trader as a potential LONG entry signal for their GridBot.
As shown in the screenshot below, lines develop on the chart (either RED or GREEN) indicating that a sustained move in one direction is currently occurring; however, there is no potential reversal signal plotted (this means that price action is currently moving in one direction only).
As shown in the screenshot below, lines can be used as a stop-loss after entering the GRIDbot. (usually, by this time, the Grid Bot is in Profit as it usually moves in the opposite direction first)
What this Indicator Does
The GRIDBOT Scalper provides information regarding potential reversals in the market after a sustained movement in one direction (either Bullish or Bearish).
The indicator is based on PRICE-ACTION ONLY and does not take into account the current state of the market (Bullish or Bearish).
Once the price moves in a particular direction for at least 14 bars , a line appears as shown in a previous screenshot. Once the price stops moving in that direction and begins moving in the opposite direction - and after a sustained run - a "signal" appears alerting the trader that a "potential" reversal could be on the horizon soon.
If price moves in one direction and plots both a line and a signal and then begins moving back in the other direction in a sustained manner, the original signal will remain even when a NEW line begins forming (the original line will disappear). (see below) This line will continue to move as the price continues to move. Not until a signal plots on the chart is the potential reversal forming. THE LINE DOES NOT SIGNAL A REVERSAL . Some traders, however, use this information to "ride the wave UP or DOWN" and exit their positions once the signal prints.
As shown below, optional input settings allow the trader to set the line at CLOSE or HIGH/LOW of the candle preceding the potential reversal.
It is suggested to use Close instead of High or Low but the setting allows one to use either.
As shown in the screenshot below, it is typical on LOWER TIME FRAMES to see the price pass the signal line. The Indicator works best on the 15 minute timeframe, as it gives the trader time to make the decisions required as the volatility is less on the 15 minute chart vs the 1 minute or 5 minute charts.
If you have any questions or suggestions for this indicator, please join our Discord. We offer free training on this Indicator on our Discord Server.
Channels Strategy [Dimkud]Channels trading Strategy. Based on "Channels Strategy" by JoseMetal.
To the original strategy added additional options and filters : Static SL/TP in percents (%), time delay between orders, ATR Filter, second Keltner Channel (Multi TimeFrame).
Interface translated to English.
Were good backtest results on many crypto tokens on 15m - 45m - 1h periods.
Mostly with configuration: Keltner Channel (optimise parameters for every token) + Static SL/TP (optimise values for every token) + "Enter Condition" = "Wick out of band".
The better is to optimise paramaters separately for Short and Long trading. And run two separate bots (in settings enable only Long or only Short.)
Tested on real automated trading on few online bot platforms. (3comm, revenuebot, veles).
Later I will make tutorial how to connect strategy to these platforms or contact me if you need help.
Grid Strategy Back Tester (Long/Short/Neutral)Preface
I'd like to send a thank you to @xxattaxx-DisDev.
The 'Line' Code, which was the most difficult to plan the Grid Indicator, was solved through the 'Grid Bot Simulator' script of @xxattaxx-DisDev.
A brief description of the indicators
These indicators are designed for backtesting of grid trading that can be opened on various exchanges.
Grid trading is a method of selling at particular intervals as prices rise and fall for gird interval price range.
This indicator is actually designed to see what the Long / Short / Neutral grid has achieved and how much it has achieved over a given period of time.
How to use
1. Lower Limit and Upper Limit are required when putting indicators on the chart.
After that, choose the 'Time' when to open the grid.
Also, select Long / Short / Neutral direction if necessary.
2. Statistics Table
Matched Grid shows how many grid pairs were engaged during the backtesting period.
The Daily Average Matching Profit is calculated based on the number of these closed grids.
Total Matching Profit is calculated as Matching Grid * Per Matching Profit.
Position Profit/Loss shows the benefits and losses from your current position.
Total Profit/Loss is sum of Total Matching Profit and Position Profit/Loss.
The Expanded APY shows the benefits of running the strategy on these terms for a year.
Max Loss of Upper is the maximum loss assumed to be directly at the top of the grid range.
BEP days (Upper) show how many days of maintenance relative to Average Matching Profit can result in greater profit than maximum loss if the grid continues to move within range.
(In the case of Long Strategy, it appears to be 'Min Profit', which shows minimal benefit if it reaches the top.)
Max Loss of Lower and BEP days (Lower) shows the opposite.
(In the case of Short Strategy, it is also referred to as 'Min Profit', which shows minimal benefit if it reaches the bottom.)
3. Grid Info
Total Grid Number, Upper Limit, and Lower Limit show the values you set in INPUT.
Grid Open Price shows the price for the period you decide to open.
Starting Position shows the number of positions that were initially held in the case of a Long / Short Strategy.
(0 for Neutral Strategy)
Per Grid qty shows how many positions are allocated to one grid
Grid Interval shows the spacing of each grid.
Per Matched Profit shows how much profit is generated when a single grid is matched.
Caution
Backtesting results for these indicators may vary depending on the time frame.
Therefore, I recommend that you use it only to compare Profit/Loss over time.
*In addition, there is a problem that all lines in the grid are not implemented, but it is independent of the backtest results.
--------------------------------------
서문
지표를 기획함에 있어서 가장 어려웠던 line 코드를 @xxattaxx-DisDev의 'Grid Bot Simulator' 스크립트를 통해 해결할 수 있었습니다.
이에 감사의 말씀을 드립니다.
해당 지표에 대한 간단한 설명
해당 지표는 다양한 거래소에서 오픈할 수 있는 그리드 매매에 대한 백테스팅을 위해 만들어졌습니다.
그리드매매는, 특정 가격 구간에 대해 가격이 오르고 내림에 따라 일정 간격에 맞춰 매매를 하는 방식입니다.
이 지표는 실질적으로 롱/숏/중립 그리드가 어떠한 성과를, 특정 기간동안 얼마나 냈는지를 확인하고자 만들어졌습니다.
사용방법
1. 인풋
지표를 차트위에 넣을 때, Lower Limit과 Upper Limit이 필요합니다.
그 후 그리드를 언제부터 오픈할 것인지를 선택하세요.
또, 필요하다면 Long / Short / Neutral의 방향을 선택하세요.
2. 그리드 통계
Matched Grid는, 백테스팅 기간동안 체결된 그리드 쌍이 몇개인지를 보여줍니다.
이 체결된 그리드의 갯수를 바탕으로 Daily Average Matched Profit이 계산됩니다.
Total Matched Profit은, Matched Grid * Per Matched Profit으로 계산됩니다.
Position Profit/Loss는, 현재 갖고 있는 포지션으로 인한 이익과 손실을 보여줍니다.
Total Matched Profit과 Position Profit/Loss를 합친 금액이 Total Profit/Loss가 됩니다.
Expcted APY는, 이러한 조건으로 전략을 1년동안 운영했을 때의 이익을 보여줍니다.
Max Loss of Upper는, 그리드 범위의 최상단에 바로 도달했을 경우를 가정한 최대 손실입니다.
BEP days(Upper)는, 그리드가 범위 내에서 계속 움직일 경우, Average Matched Profit을 기준으로 며칠동안 유지되어야 최대손실보다 더 큰 이익이 발생할 수 있는지를 보여줍니다.
(Long Strategy의 경우, ‘Min Profit’이라고 나타나는데, 최상단에 도달했을 경우 최소한의 이익을 보여줍니다)
Max Loss of Lower는 그 반대의 경우를 보여줍니다.
(Short Strategy의 경우, 역시 ‘Min Profit’이라고 나타나는데, 최하단에 도착했을 경우 최소한의 이익을 보여줍니다)
3. 그리드 정보
그리드 갯수, Upper Limt, Lower Limt은 자신이 설정한 값을 보여줍니다.
Grid Open Price는, 자신이 오픈하기로 정했던 기간의 가격을 보여줍니다.
Starting Position은, 롱/숏 그리드의 경우에 처음에 들고 시작했던 포지션의 갯수를 보여줍니다.
Neutral Strategy의 경우 0입니다.
Per Grid qty는, 하나의 그리드에 얼마만큼의 포지션이 배분되었는지를 보여주며
Grid Interval은 각 그리드의 간격을 보여줍니다.
또, Per Matched Profit은 하나의 그리드가 체결될 때 얼마만큼의 이익이 발생하는 지를 보여줍니다.
이러한 지표에 대한 역테스트 결과는 시간 프레임에 따라 달라질 수 있습니다.
따라서 시간 경과에 따른 손익을 비교할 때만 사용하는 것이 좋습니다.
*추가로, 그리드의 라인이 모두 구현되지 않는 문제가 있지만, 백테스팅 결과와는 무관합니다.
PineHelperLibrary "PineHelper"
This library provides various functions to reduce your time.
recent_opentrade_entry_bar_index()
get a recent opentrade entry bar_index
Returns: (int) bar_index
recent_closedtrade_entry_bar_index()
get a recent closedtrade entry bar_index
Returns: (int) bar_index
recent_closedtrade_exit_bar_index()
get a recent closedtrade exit bar_index
Returns: (int) bar_index
all_opnetrades_roi()
get all aopentrades roi
Returns: (float) roi
bars_since_recent_opentrade_entry()
get bars since recent opentrade entry
Returns: (int) number of bars
bars_since_recent_closedtrade_entry()
get bars since recent closedtrade entry
Returns: (int) number of bars
bars_since_recent_closedtrade_exit()
get bars since recent closedtrade exit
Returns: (int) number of bars
recent_opentrade_entry_id()
get recent opentrade entry ID
Returns: (string) entry ID
recent_closedtrade_entry_id()
get recent closedtrade entry ID
Returns: (string) entry ID
recent_closedtrade_exit_id()
get recent closedtrade exit ID
Returns: (string) exit ID
recent_opentrade_entry_price()
get recent opentrade entry price
Returns: (float) price
recent_closedtrade_entry_price()
get recent closedtrade entry price
Returns: (float) price
recent_closedtrade_exit_price()
get recent closedtrade exit price
Returns: (float) price
recent_opentrade_entry_time()
get recent opentrade entry time
Returns: (int) time
recent_closedtrade_entry_time()
get recent closedtrade entry time
Returns: (int) time
recent_closedtrade_exit_time()
get recent closedtrade exit time
Returns: (int) time
time_since_recent_opentrade_entry()
get time since recent opentrade entry
Returns: (int) time
time_since_recent_closedtrade_entry()
get time since recent closedtrade entry
Returns: (int) time
time_since_recent_closedtrade_exit()
get time since recent closedtrade exit
Returns: (int) time
recent_opentrade_size()
get recent opentrade size
Returns: (float) size
recent_closedtrade_size()
get recent closedtrade size
Returns: (float) size
all_opentrades_size()
get all opentrades size
Returns: (float) size
recent_opentrade_profit()
get recent opentrade profit
Returns: (float) profit
all_opentrades_profit()
get all opentrades profit
Returns: (float) profit
recent_closedtrade_profit()
get recent closedtrade profit
Returns: (float) profit
recent_opentrade_max_runup()
get recent opentrade max runup
Returns: (float) runup
recent_closedtrade_max_runup()
get recent closedtrade max runup
Returns: (float) runup
recent_opentrade_max_drawdown()
get recent opentrade maxdrawdown
Returns: (float) mdd
recent_closedtrade_max_drawdown()
get recent closedtrade maxdrawdown
Returns: (float) mdd
max_open_trades_drawdown()
get max open trades drawdown
Returns: (float) mdd
recent_opentrade_commission()
get recent opentrade commission
Returns: (float) commission
recent_closedtrade_commission()
get recent closedtrade commission
Returns: (float) commission
qty_by_percent_of_equity(percent)
get qty by percent of equtiy
Parameters:
percent : (series float) percent that you want to set
Returns: (float) quantity
qty_by_percent_of_position_size(percent)
get size by percent of position size
Parameters:
percent : (series float) percent that you want to set
Returns: (float) size
is_day_change()
get bool change of day
Returns: (bool) day is change or not
is_in_trade()
get bool using number of bars
Returns: (bool) allowedToTrade
discord_message(name, message)
get json format discord message
Parameters:
name : (string) name of bot
message : (string) message that you want to send
Returns: (string) json format string
telegram_message(chat_id, message)
get json format telegram message
Parameters:
chat_id : (string) chatId of bot
message : (string) message that you want to send
Returns: (string) json format string
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
Full Volatility Statistics and Forecast
This is a tool designed to translate the data from the expected volatility of different assets, such as for example VIX, which measures the volatility of SP500 index.
Once get the data from the volatility asset we want to measure(for this test I have used VIX), we are going to translate it the required timeframe expected move by dividing the initial value into :
252 = if we want to use the daily timeframe, since there are ~252 aproximative daily trading days
52 = if we want to use the weekly timeframe, since there 52 trading weeks in a year
12 = if we want to use the monthly timeframe, since there are 12 months in a year
For this example I have used 252 with the daily timeframe.
In this scenario, we can see that we had 5711 total cnadles which we analysed, and in this case, we had 942 crosses, where the daily movement ended up either above or below the channel made from the opening daily candle value + expected movement from the volatility, giving as a total of 16.5% of occurances that volatility was higher than expected, and in 83.5% of the times, we can see that the price stayed within our channel.
At the same time, we can see that we had 6 max losses in a row ( OUT) AND 95 max wins in a row (IN), and at the same time in those moments when the volatility crosses happen we had a 0.51% avg movements when the top crossed happened, and 0.67% avg movements when the bot happened.
Lastly on the second part of the panel, we had E which means the expected movement of today, for example it has 61.056$ , so lets say price opened on 4083, our top is 4083 + 61 and our bot is 4083 - 61 ( giving us the daily channel). At continuation we can see that overall the avg bull candle os 0.714% and avg bear candle was 0.805% .
I hope this tool will help you with your future analysis and trades !
If you have any questions please let me know !
