Bot for Spot Market - Custom GridThis script is designed to create a trading bot for the spot market, specifically for buying and selling bitcoins profitably. Recommended for timeframes above two hours. Here are the main functions and features of the script:
Strategy Setup: The bot is set up with a custom grid strategy, defining parameters like pyramiding (allowed number of simultaneous trades), margin requirements, commission, and initial capital.
Order Requirements: It calculates the order price and amount based on the minimum requirements set by the exchange and rounds them appropriately.
Entry Conditions: The bot makes new entries if the closing price falls a certain percentage below the last entry price. It continues to make entries until the closing price rises a certain percentage above the average entry price.
Targets and Plots:
It calculates and plots the target profit level.
It plots the average entry price and the last entry price.
It plots the next entry price based on the defined conditions.
It plots the maximum number of orders allowed based on equity and the number of open orders.
Timerange: The bot can start trading from a specific date and time defined by the user.
Entries: It places orders if the timerange conditions are met. It also places new orders if the closing price is below the last entry price by a defined percentage.
Profit Calculation: The script calculates open profit or loss for the open positions.
Exit Conditions: It closes all positions if the open profit is positive and the closing price is above the target profit level.
Performance Table: The bot maintains and displays statistics like the number of open and closed trades, net profit, and equity in a table format.
The script is customizable, allowing users to adjust parameters like initial capital, commission, order values, and profit targets to fit their specific trading needs and exchange requirements.
חפש סקריפטים עבור "the script"
JMA Quantum Edge: Adaptive Precision Trading System JMA Quantum Edge: Adaptive Precision Trading System - Enhanced Visuals & Risk Management
Get ready to experience a groundbreaking trading strategy that adapts in real-time to market conditions! This powerful, open-source script combines advanced technical analysis with state-of-the-art risk management tools, designed to give you the edge you need in today's dynamic markets.
What It Does:
Adaptive JMA Indicator:
Utilizes a custom Jurik Moving Average (JMA) that adjusts its sensitivity based on market volatility, ensuring you get precise signals even in the most fluctuating environments.
Dynamic Risk Management:
Features built-in support for partial exits (scaling out) to secure profits, along with an optional Kelly Criterion-based position sizing that tailors your exposure based on historical performance metrics.
Robust Error Handling:
Incorporates market condition filters—like minimum volume and maximum allowed gap percentage—to ensure trades are only executed under favorable conditions.
Vivid Visual Enhancements:
Enjoy an animated background that reflects market momentum, dynamic pivot markers, and clearly drawn trend channels. Plus, interactive tables provide real-time performance analytics and detailed error metrics.
Fully Customizable:
With a comprehensive set of inputs, you can easily tailor the strategy to your personal trading style and market preferences. Adjust everything from JMA parameters to refresh intervals for tables and labels!
How to Use It:
Add the Script:
Copy and paste the script into the Pine Script Editor on TradingView and click “Add to Chart.”
Configure Your Settings:
Customize your risk management (capital, commission, position sizing, partial exits, etc.) and tweak the JMA settings to match your preferred trading style. Use the extensive input panel to adjust visuals, alerts, and more.
Backtest & Optimize:
Run the strategy in the Strategy Tester to analyze its historical performance. Monitor real-time analytics and error metrics via the interactive tables, and fine-tune your parameters for optimal performance.
Go Live with Confidence:
Once you're satisfied with the backtest results, use the generated signals for live trading, and let the system help you stay ahead in fast-paced markets!
How to use the imputs:
This cutting-edge strategy is designed to adapt to changing market conditions and offers you complete control over your trading parameters. Here’s a breakdown of what each group of inputs does and how you should use them:
Risk Management & Trade Settings
Recalculate on Every Tick:
What it does: When enabled, the strategy recalculates on every price update.
Recommendation: Leave it true for fast charts.
Initial Capital:
What it does: Sets your starting capital for backtesting, which influences position sizing and performance metrics.
Recommendation: Start with $10,000 (or adjust according to your trading capital).
Commission (%):
What it does: Simulates the cost per trade.
Recommendation: Use a realistic rate (e.g., 0.04%).
Position Size & Quantity Type:
What they do: Define how large each trade will be. Choose between a fixed unit amount or a percentage of equity.
Recommendation: For beginners, the default fixed value is a good start. Experiment later with percentage-based sizing if needed.
Order Comment:
What it does: Adds a label to your orders for easier tracking.
Allow Reverse Orders:
What it does: If disabled, the strategy will close opposing positions before entering a new trade, reducing conflicts.
Enable Dynamic Position Sizing:
What it does: Adjusts trade size based on current volatility.
Recommendation: Beginners may start with this disabled until they understand basic sizing.
Partial Exit Inputs:
What they do:
Enable Partial Exits: When turned on, you can scale out of your position to lock in profits.
Partial Exit Profit (%): The profit percentage that triggers a partial exit.
Partial Exit Percentage: The percentage of your current position to exit. Recommendation: Use defaults (e.g., 5% profit, 50% exit) to secure profits gradually.
Kelly Criterion Option:
What it does: When enabled, adjusts your position sizing using historical performance (win rate and profit factor).
Recommendation: Beginners might leave this disabled until comfortable with backtest performance metrics.
Market Condition Filters:
What they do:
Minimum Volume: Ensures trades occur only when there’s sufficient market activity.
Maximum Gap (%): Prevents trading if there’s an unusually large gap between the previous close and current open. Recommendation: Defaults work well for most markets. If trades seem erratic, consider tightening these limits.
JMA Settings
Price Source:
What it does: The input series for the JMA calculation, typically set to the closing price.
JMA Length:
What it does: Controls the smoothing period of the JMA. Lower values are more sensitive; higher values smooth out the noise. Recommendation: Start with 21.
JMA Phase & Power:
What they do: Adjust how responsive the JMA is. Phase controls timing; power adjusts the intensity. Recommendation: Default settings (63 phase and 3 power) are a balanced starting point.
Visual Settings & Style
Show JMA Line, Pivot Lines, and Pivot Labels:
What they do: Toggle visual elements on your chart for easier signal identification.
Pivot History Count:
What it does: Limits how many historical pivot markers are displayed.
Color Settings (Up/Down Neon Colors):
What they do: Set the visual cues for buy and sell signals.
Pivot Marker & Line Style:
What they do: Choose the style and thickness of your pivot markers and lines.
Show Stats Panel:
What it does: Displays real-time performance and error metrics.
Dynamic Background & Visual Enhancements
Animate Background:
What it does: Changes the background color based on market momentum.
Show Trend Channels & Volume Zones:
What they do: Draw trend channels and highlight areas of high volatility/volume.
Show Data-Rich Labels:
What it does: Displays key metrics like volume, error percentage, and momentum on the chart.
High Volatility Threshold:
What it does: Determines the multiplier for when the chart background should change due to high volatility.
Multi-Timeframe Settings
Higher Timeframe:
What it does: Uses a higher timeframe’s JMA for trend confirmation. Recommendation: Use Daily ('D') or Weekly ('W') for broader trend analysis.
Show HTF Trend Zone & Opacity:
What they do: Display a visual zone from the higher timeframe to help confirm trends.
6. Trailing Stop Settings
Trailing Stop ATR Factor & Offset Multiplier:
What they do: Calculate trailing stops based on the Average True Range (ATR), adjusting stop distances dynamically. Recommendation: Default settings are a good balance but can be fine-tuned based on asset volatility.
Alerts & Notifications
Alerts on Pivot Formation & JMA Crossover:
What they do: Notify you when key events occur.
Dynamic Power Threshold:
What it does: Sets the sensitivity for dynamic alerts.
8. Static Stop Loss / Take Profit
Static Stop Loss (%) & Take Profit (%):
What they do: Allow you to set fixed stop loss or take profit levels. Recommendation: Leave them at 0 to disable if you prefer dynamic risk management, or set them if you have strict risk/reward preferences.
Advanced Settings
ATR Length:
What it does: Determines the period for ATR calculation, impacting trailing stop sensitivity. Recommendation: Start with 14.
Optimization Feedback & Enhanced Error Analysis
Error Metric Length & Error Threshold (%):
What they do: Calculate error metrics (like average error, skewness, and kurtosis) to help you fine-tune the JMA. Recommendation: Use the defaults and adjust if the error metrics seem off during backtesting.
UI - User-Driven Tweaking & Table Customization
Parameter Tweaker Panel, Debug/Performance Table Settings:
What they do: Provide interactive tables that display real-time performance, error metrics, and allow you to monitor strategy parameters.
Refresh Frequency Options (Table & Label Refresh Intervals):
What they do: Set how often the tables and labels update.
Recommendation: Start with an interval of 1 bar; increase it if your chart is too busy.
Important for Beginners:
Default Settings:
All default values have been chosen for balanced performance across different markets. If you ever experience unexpected behavior, start by resetting the inputs to their defaults.
Step-by-Step Adjustments:
Experiment by changing one setting at a time while observing how the strategy’s signals and performance metrics change. This will help you understand the impact of each parameter.
Resetting to Defaults:
If things seem off or you’re not getting the expected results, you can always reset the indicator. Either reload the script or use the “Reset Inputs” option (if available) to revert to the default settings.
Jump in, experiment, and enjoy the power of adaptive precision trading. This strategy is built to grow with your skills—have fun exploring and refining your trading edge!
Happy trading!
HOD/LOD/PMH/PML/PDH/PDL Strategy by @tradingbauhaus This script is a trading strategy @tradingbauhaus designed to trade based on key price levels, such as the High of Day (HOD), Low of Day (LOD), Premarket High (PMH), Premarket Low (PML), Previous Day High (PDH), and Previous Day Low (PDL). Below, I’ll explain in detail what the script does:
Core Functionality of the Script:
Calculates Key Price Levels:
HOD (High of Day): The highest price of the current day.
LOD (Low of Day): The lowest price of the current day.
PMH (Premarket High): The highest price during the premarket session (before the market opens).
PML (Premarket Low): The lowest price during the premarket session.
PDH (Previous Day High): The highest price of the previous day.
PDL (Previous Day Low): The lowest price of the previous day.
Draws Horizontal Lines on the Chart:
Plots horizontal lines on the chart for each key level (HOD, LOD, PMH, PML, PDH, PDL) with specific colors for easy visual identification.
Defines Entry and Exit Rules:
Long Entry (Buy): If the price crosses above the PMH (Premarket High) or the PDH (Previous Day High).
Short Entry (Sell): If the price crosses below the PML (Premarket Low) or the PDL (Previous Day Low).
Long Exit: If the price reaches the HOD (High of Day) during a long position.
Short Exit: If the price reaches the LOD (Low of Day) during a short position.
How the Script Works Step by Step:
Calculates Key Levels:
Uses the request.security function to fetch the HOD and LOD of the current day, as well as the highs and lows of the previous day (PDH and PDL).
Calculates the PMH and PML during the premarket session (before 9:30 AM).
Plots Levels on the Chart:
Uses the plot function to draw horizontal lines on the chart representing the key levels (HOD, LOD, PMH, PML, PDH, PDL).
Each level has a specific color for easy identification:
HOD: White.
LOD: Purple.
PDH: Orange.
PDL: Blue.
PMH: Green.
PML: Red.
Defines Trading Rules:
Uses conditions with ta.crossover and ta.crossunder to detect when the price crosses key levels.
Long Entry: If the price crosses above the PMH or PDH, a long position (buy) is opened.
Short Entry: If the price crosses below the PML or PDL, a short position (sell) is opened.
Long Exit: If the price reaches the HOD during a long position, the position is closed.
Short Exit: If the price reaches the LOD during a short position, the position is closed.
Executes Orders Automatically:
Uses the strategy.entry and strategy.close functions to open and close positions automatically based on the defined rules.
Advantages of This Strategy:
Based on Key Levels: Uses important price levels that often act as support and resistance.
Easy to Visualize: Horizontal lines on the chart make it easy to identify levels.
Automated: Entries and exits are executed automatically based on the defined rules.
Limitations of This Strategy:
Dependent on Volatility: Works best in markets with significant price movements.
False Crosses: There may be false crosses that generate incorrect signals.
No Advanced Risk Management: Does not include dynamic stop-loss or take-profit mechanisms.
How to Improve the Strategy:
Add Stop-Loss and Take-Profit: To limit losses and lock in profits.
Filter Signals with Indicators: Use RSI, MACD, or other indicators to confirm signals.
Optimize Levels: Adjust key levels based on the asset’s behavior.
In summary, this script is a trading strategy that operates based on key price levels, such as HOD, LOD, PMH, PML, PDH, and PDL. It is useful for traders who want to trade based on significant support and resistance levels.
Reflected ema Difference (RED) This script, titled "Reflected EMA Difference (RED)," is based on the logic of evaluating the percentage of convergence and divergence between two moving averages, specifically the Hull Moving Averages (HMA), to make price-related decisions. The Hull Moving Average, created by Alan Hull, is used as the foundation of this strategy, offering a faster and more accurate way to analyze market trends. In this script, the concept is employed to measure and reflect price variations.
Script Functionality Overview:
Hull Moving Averages (HMA): The script utilizes two HMAs, one short-term and one long-term. The main idea is to compute the Delta Difference between these two moving averages, which represents how much they are converging or diverging from each other. This difference is key to identifying potential market trend changes.
Reflected HMA Value: Using the Delta Difference between the HMAs, the value of the short-term HMA is reflected, creating a visual reference point that helps traders see the relationship between price and HMAs on the chart.
Percentage Change Index: The second key parameter is the percentage change index. This determines when a trend is reversing, allowing buy or sell orders to be established based on significant changes in the relationship between the HMAs and the price.
Delta Multiplier: The script comes with a default Delta multiplier of 2 for calculating the difference between HMAs, allowing traders to adjust the sensitivity of the analysis based on the time frame being analyzed.
Trend Reversal Signals: When the price crosses the thresholds defined by the percentage change index, buy or sell signals are triggered, based on the detection of a potential trend reversal.
Visual Cues with Boxes: Boxes are drawn on the chart when the HullMA crosses the reflected HMA value, providing a visual aid to identify critical moments where risk should be evaluated.
Alerts for Receiving Signals:
This script allows you to set up buy and sell alerts via TradingView's alert system. These alerts are triggered when trend changes are detected based on the conditions coded in the script. Traders can receive instant notifications, allowing them to make decisions without needing to constantly monitor the chart.
Additional Considerations:
The percentage change parameter is adjustable and should be configured based on the time frame you are trading on. For longer time frames, it's advisable to use a larger percentage change to avoid false signals.
The use of Hull Moving Averages (HMA) provides a faster and more reactive approach to trend evaluation compared to other moving averages, making it a powerful tool for traders seeking quick reversal signals.
This approach combines the power of Hull Moving Averages with an alert system to improve the trader’s response to trend changes.
Spanish
Este script, titulado "Reflected EMA Difference (RED)", está fundamentado en la lógica de evaluar el porcentaje de acercamiento y distancia entre dos medias móviles, específicamente las medias móviles de Hull (HMA), para tomar decisiones sobre el valor del precio. El creador de la media móvil de Hull, Alan Hull, diseñó este indicador para ofrecer una forma más rápida y precisa de analizar tendencias de mercado, y en este script se utiliza su concepto como base para medir y reflejar las variaciones de precio.
Descripción del funcionamiento:
Medias Móviles de Hull (HMA): Se utilizan dos HMAs, una de corto plazo y otra de largo plazo. La idea principal es calcular la diferencia Delta entre estas dos medias móviles, que representa cuánto se están alejando o acercando entre sí. Esta diferencia es clave para identificar cambios potenciales en la tendencia del mercado.
Valor Reflejado de la HMA: Con la diferencia Delta calculada entre las HMAs, se refleja el valor de la HMA corta, creando un punto de referencia visual que ayuda a los traders a observar la relación entre el precio y las HMAs en el gráfico.
Índice de Cambio de Porcentaje: El segundo parámetro clave del script es el índice de cambio porcentual. Este define el momento en que una tendencia está revirtiendo, permitiendo establecer órdenes de compra o venta en función de un cambio significativo en la relación entre las HMAs y el precio.
Multiplicador Delta: El script tiene un multiplicador predeterminado de 2 para el cálculo de la diferencia Delta, lo que permite ajustar la sensibilidad del análisis según la temporalidad del gráfico.
Señales de Reversión de Tendencia: Cuando el precio cruza los límites definidos por el índice de cambio porcentual, se emiten señales para comprar o vender, basadas en la detección de una posible reversión de tendencia.
Visualización con Cajas: Se dibujan cajas en el gráfico cuando el indicador HullMA cruza el valor reflejado de la HMA, ayudando a identificar visualmente los momentos críticos en los que se debe evaluar el riesgo de las operaciones.
Alertas para Recibir Señales:
Este script permite configurar alertas de compra y venta desde el apartado de alertas de TradingView. Estas alertas se activan cuando se detectan cambios de tendencia en función de las condiciones establecidas en el código. El trader puede recibir notificaciones instantáneas, lo que facilita la toma de decisiones sin necesidad de estar constantemente observando el gráfico.
Consideraciones adicionales:
El porcentaje de cambio es un parámetro ajustable y debe configurarse según la temporalidad que se esté operando. En temporalidades más largas, es recomendable usar un porcentaje de cambio mayor para evitar señales falsas.
La utilización de las medias móviles de Hull (HMA) proporciona un enfoque más rápido y reactivo para evaluar tendencias en comparación con otras medias móviles, lo que lo convierte en una herramienta poderosa para traders que buscan señales rápidas de reversión.
Este enfoque combina la potencia de las medias móviles de Hull con un sistema de alertas que mejora la reactividad a cambios de tendencia.
Trading TP SL### Detailed Explanation of the "Trading TP SL" Indicator:
#### 1. **Main Purpose of the Indicator**:
This Pine Script strategy is designed to automate trading decisions by using predefined Take Profit (TP) and Stop Loss (SL) levels for both buy and sell orders. It allows for visual representation of these levels on the chart through lines and labels.
---
#### 2. **Key Variables**:
- **Candle_length**: Specifies the number of candles used for calculating the Simple Moving Average (SMA).
- **Quantity_of_deals**: Defines the number of consecutive price conditions needed to trigger a trade.
- **SLbuy and SLsell**: Inputs for setting the stop loss level for buy and sell trades.
- **TPbuy1 - TPbuy4 and TPsell1 - TPsell4**: Inputs for specifying up to four take profit levels for buy and sell trades.
- **show_SL_buy and show_TP1_buy (and others)**: These options control whether the lines and labels for the specified levels are shown on the chart.
---
#### 3. **Buy Logic**:
- The script calculates the Simple Moving Average (SMA) using the number of candles specified by **Candle_length**.
- A condition is checked to see if the current price is above the SMA (**bcond = price > ma**).
- If this condition holds true for a number of candles equal to **Quantity_of_deals**, a buy trade is triggered with the command: `strategy.entry("BUY", strategy.long)`.
- The stop loss and take profit levels are calculated based on user inputs (in ticks).
##### Example:
- If the price is above the 50-period SMA, and this happens for 30 consecutive candles, a buy order will be triggered, with the corresponding SL and TP levels plotted on the chart.
---
#### 4. **Sell Logic**:
- The opposite logic applies for sell trades. If the price is below the SMA (**scond = price < ma**) for a number of candles equal to **Quantity_of_deals**, a sell trade is triggered using: `strategy.entry("SELL", strategy.short)`.
- Stop loss and take profit levels are calculated and displayed in the same way as for buy trades.
---
#### 5. **Displaying Lines and Labels**:
- Lines and labels are drawn on the chart to represent the SL and TP levels using the `line.new` and `label.new` functions.
- The visibility of these lines and labels is controlled by options like **show_SL_buy**, **show_TP1_buy**, **show_SL_sell**, etc.
##### Example:
- If **show_SL_buy** is enabled, a red line and label for the buy stop loss will appear on the chart, labeled "SL".
- The same applies for the take profit levels (TP1, TP2, etc.) and the sell orders.
---
#### 6. **Color Customization**:
- The script allows for customization of colors for different components:
- **SL_1**: The color of the buy stop loss line (red).
- **TP_1**: The color of the first take profit line for buy orders (green).
- **short1**: The color of the sell order line.
---
### Advantages:
- Full control over profit and stop loss levels.
- Flexibility to define the number of conditions required to trigger a trade.
- Options to show or hide levels on the chart, providing visual clarity.
---
### Conclusion:
This strategy is built around using the Simple Moving Average (SMA) to identify entry signals for both buy and sell trades. The stop loss and take profit levels are user-defined, with significant flexibility to customize and visualize them on the chart.
### شرح تفصيلي لمؤشر "Trading TP SL" المكتوب بلغة Pine Script:
#### 1. **الهدف الأساسي للمؤشر**:
المؤشر مصمم كاستراتيجية تداول مبنية على أوامر الشراء والبيع مع إعدادات خاصة بأهداف الربح (TP) ومستويات إيقاف الخسارة (SL). يتم تحديد هذه المستويات بشكل يدوي عن طريق المدخلات، مع إمكانية إظهار الخطوط والملصقات على الرسم البياني لتوضيح تلك المستويات.
---
#### 2. **المتغيرات الأساسية**:
- **Candle_length**: عدد الشموع المستخدمة لحساب المتوسط المتحرك البسيط (SMA).
- **Quantity_of_deals**: عدد الصفقات المطلوبة قبل تفعيل إشارة الدخول.
- **SLbuy و SLsell**: مستوى إيقاف الخسارة للشراء والبيع.
- **TPbuy1 - TPbuy4 و TPsell1 - TPsell4**: مستويات الربح المستهدفة (TP) للشراء والبيع.
- **show_SL_buy و show_TP1_buy (وما إلى ذلك)**: هذه الخيارات تظهر أو تخفي الخطوط والملصقات على الرسم البياني لكل مستوى من المستويات المحددة.
---
#### 3. **المنطق وراء الشراء**:
- يتم حساب المتوسط المتحرك البسيط (SMA) باستخدام الشموع المحددة في المتغير **Candle_length**.
- يتم التأكد مما إذا كان السعر الحالي أعلى من هذا المتوسط المتحرك البسيط (**bcond = price > ma**).
- إذا تحقق هذا الشرط لعدد من الشموع يساوي **Quantity_of_deals**، يتم تفعيل صفقة شراء باستخدام أمر: `strategy.entry("BUY", strategy.long)`.
- يتم حساب مستويات إيقاف الخسارة وأهداف الربح بناءً على القيمة المدخلة من المستخدم (القيمة بالنقاط).
##### مثال:
- إذا كان السعر الحالي أكبر من المتوسط المتحرك لمدة 50 شمعة، وحدث ذلك على التوالي لـ 30 شمعة، سيتم تفعيل صفقة شراء مع مستويات إيقاف الخسارة وأهداف الربح المعروضة على الرسم البياني.
---
#### 4. **المنطق وراء البيع**:
- يحدث العكس في حالة البيع. إذا كان السعر أقل من المتوسط المتحرك البسيط (**scond = price < ma**) وتحقق هذا الشرط لعدد من الشموع يساوي **Quantity_of_deals**، يتم تفعيل صفقة بيع باستخدام أمر: `strategy.entry("SELL", strategy.short)`.
- يتم حساب مستويات إيقاف الخسارة وأهداف الربح وفقًا للقيم المدخلة من المستخدم، وتظهر هذه المستويات على الرسم البياني.
---
#### 5. **إظهار الخطوط والملصقات**:
- يتم رسم الخطوط والملصقات على الرسم البياني لإيضاح المستويات (SL و TP) باستخدام دوال `line.new` و `label.new`.
- يمكنك التحكم في إظهار أو إخفاء هذه الخطوط والملصقات عن طريق الخيارات **show_SL_buy**, **show_TP1_buy**, **show_SL_sell**, إلخ.
##### مثال:
- إذا تم تفعيل خيار **show_SL_buy**، سيظهر خط إيقاف الخسارة للشراء على الرسم البياني بلون أحمر مع ملصق يُظهر "SL".
- يتم تكرار نفس الشيء لأهداف الربح (TP1, TP2, إلخ) وخطوط البيع.
---
#### 6. **ألوان المكونات**:
- الألوان لكل مستوى يمكن تخصيصها. على سبيل المثال:
- **SL_1**: لون إيقاف الخسارة للشراء (أحمر).
- **TP_1**: لون هدف الربح الأول للشراء (أخضر).
- **short1**: لون صفقة البيع.
---
### المزايا:
- التحكم الكامل في مستويات الربح والخسارة.
- إمكانية تخصيص عدد الصفقات المطلوبة لتفعيل إشارة الدخول.
- إظهار أو إخفاء المستويات على الرسم البياني وفقًا لرغبة المستخدم.
---
### الخلاصة:
هذه الاستراتيجية تعتمد على المتوسط المتحرك البسيط (SMA) لعدد معين من الشموع كإشارة دخول، سواء للشراء أو البيع. يتم تعيين مستويات الربح والخسارة يدويًا، مع توفير مرونة عالية في إظهار الخطوط والملصقات على الرسم البياني.
INFINITY ALGO🆕Meet the updated version of our flagship indicator, now it's INFINITY ALGO!
🏃🏻 QUICK START
In very simple terms, our indicator generates complex trading signals on your chart (buy/sell), including Entry Point, Take Profit levels, Stop Loss level
To start, you need to add our indicator to your chart , choose a timeframe (we recommend 13min,15min and 4h but you can try any, these only have the best results) and set up notifications (how to do it told below) and that's it, you can work with it even without changing the settings!
Of course, to improve the accuracy of signals you will have to choose the optimal settings of the script for each trading pair and timeframe (you can find a guide below)
📊 SIGNALS
This script will generate complex trading recommendations, both Long and Short (signals); signals include:
- Entry Point:
Calculated based on pivot levels with confirmation by EMA/SMA (you can select this in the settings); also bullish/bearish cup is checked to confirm the entry.
Additionally, in the settings you can enable Heiken Ashi calculation mode (it shows much better on some trading pairs).
Why do we mashup these components and how they work together?
- The main indicator in our script is pivot levels, it is enabled by default and cannot be disabled. Auxiliary indicators (which you can switch on and off in the script settings) are EMA/SMA and Heiken Ashi. We have used pivot levels, which mark potential support and resistance zones based on previous price action. We have also used EMA/SMA that smooth out price fluctuations and show the direction of the trend. We have added an option to use Heiken Ashi that filters out noise and highlights the trend. We have also checked for bullish/bearish cup patterns, which are reversal patterns that indicate a change in momentum. By combining these indicators, we have created a more robust entry point that considers multiple factors such as price levels, trend, noise, and momentum.
- 6 Take Profit levels:
It is also possible to change in the settings (It is also possible to change the values for Short or Long positions separately), it will be fixed values in % (The default Take Profits for Long&Short are as follows: TP1-0.3%; TP2-1%; TP3-2%; TP4-3%; TP5-7.5%; TP6-16.5%)
- Stop Loss Level:
As with Take Profits, this is a fixed % value that you can customise to suit your risk management needs (It is also possible to change the values for Short or Long positions separately, by default is 4.5% for Long&Short positions)
*When trading on these signals, we strongly recommend that you exit the position in parts at each take profit or close your entire position at one particular take profit. Our script was designed specifically for exiting a position on take profits
⚙️ SETTINGS
Now let's talk about the settings of this script, which allow you to customise the signals quite a lot. In general, we recommend selecting the settings for each trading pair and timeframe separately, this will allow you to achieve better targets accuracy (the default settings are universal, you can trade with them without changing them if you want)
-> IMAGE <-
1. Period - minimum value of 2. Increasing this parameter will increase the accuracy of signals, but will reduce their number (accordingly, lowering the parameter will do the opposite). For the majority of trading pairs and timeframes the optimal period will be between 5 and 10 (the default value is 5).
2. Maximum Breakout length (in bars) - for most trading pairs you can set the value from 200 to 300 and it will be optimal. Below 200 is not recommended
3. T hreshold Rate % - this value also affects the accuracy and the number of signals - the higher this value is, the more often signals will be generated, but it can negatively affect the accuracy. The minimum value is 3, and the maximum value is 10. We recommend to try values in the range from 4 to 7 for most tickers
4. Minimum Number of tests - the number of level checks is required, we recommend to try 2, and only for some timeframes increase to 3
5. MA type & MA filter - The shorter the length of moving averages, the faster they react to trend changes, and show more local trends than global ones. If the length of MAs is longer, more global trends are shown. By default, the most optimal values are set.
By the way, you can ask us for a ready-made preset for any pair and we will be happy to help you!
📄 BACKTESTING
Now let's talk about how to properly test the settings and evaluate their effectiveness. Our script has a c ustom built-in backtester that shows statistics on the current trading pair and allows you to calculate the accuracy of each take profit target, as well as calculate values such as Gross profit/loss, net profit, and the ratio of initial deposit to profit. (you can enable/disable backtester "statistics" label in main settings)
In the main settings you can change the values for: initial deposit (Deposit $), trade size $ and leverage (by the way, it also affects the display of the label "Peak profit", which is calculated with this leverage)
-> IMAGE <-
Now let's look at the backtester - it shows detailed statistics for each Take Profit level, including: accuracy in % and number of trades; gross profit & loss; net profit in % and $ (based on selected settings); deposit to profit ratio in % and $.
Why did we choose such properties in the backtest for publication?
- Well, as the initial capital we took 5000$ and deposit 3% (150$) of the initial capital in each trade. For the fee was taken the value from the exchange Binance, which is 0.06% per trade (Taker + Maker, for a user without VIP on Binance and without taking into account additional fees such as funding, leverage fees, etc).
- Please also take a look at our inbuilt backtester ( IMAGE ) which counts the accuracy to each Take Profit. Also note that our inbuilt backtester does not take any fees into account. Pay attention to the last field "Deposit with Profit" it shows the value if you would close all positions at a certain target. For example, we can see that the most optimal is TP3 at these settings for this trading pair and timeframe, as the deposit to profit ratio will be +61.2%
- Also the script is more designed for swing and long term trading, so on most trading pairs you will be able to see statistics for 60-90 trades dataset
*disclaimer: please note that past results does not guarantee future performance! The accuracy of take profit targets in our backtester is calculated on past results, keep this in mind please
📥 NOTIFICATIONS
We have provided notifications that will deliver the latest signals to you in a convenient format in TradingView. The notification looks like this: It contains the entry point, Take Profits, Stop Loss, and a bit of advice on risk management. -> IMAGE <-
To set up notifications:
1. Select the script settings, trading pair and timeframe
2. Click "add alert on InfinityAlgo", then select "alert () function calls only" in the settings
-> IMAGE <-
3. That's it, now all that's left is to wait for a fresh alert
🔑 HOW TO GET ACCESS
We hope you will like this script :) We are always ready to help you with customisation, just let us know! To learn more about our scripts & get access - check out the “Author’s instructions” below 👇🏼
MACD + MA HTF Strategy - Dynamic SmoothingMACD + MA HTF Strategy - Dynamic Smoothing
The MACD alone generally gives too many false signals and is therefore often used in combination with different indicators. The basic idea to combine the MACD with a moving average on a higher time frame is a commonly used technique to only enter Longs in a uptrend and only Shorts in a downtrend while trading on lower timeframe charts. However, the main issue in many strategy scripts is that the HTF indicator is not visible on lower timecharts. With this strategy example I used the Dynamic Smoothing code to visualise the HTF MA filter to display on you lower timechart. This way it is easier to optimize the strategy settings to the instrument chart.
Orginality and Usefulness - Dynamic Smoothing
Visualizing a higher time frame on a lower timechart often gives jagged lines on your chart. As the calculation is done on less bars, compared to the bars you have open on your timechart. The dynamic smoothing factor is derived by taking the ratio of minutes of the higher time frame to the current time frame. This ensures the moving average remains fluid and consistent across different time frames, eliminating 'jagged' lines on your chart. This new MA value is then used as HTF filter on top of the MACD entry settings. Always make sure the time chart is equal or lower than the timeframe settings in the configuration settings. The intention of the script is to visualise the higher time frame confirmations while trading on a lower timechart.
Code example how to achieve Dynamic Smoothing:
// Get minutes for current and higher timeframes
// Function to convert a timeframe string to its equivalent in minutes
timeframeToMinutes(tf) =>
multiplier = 1
if (str.endswith(tf, "D"))
multiplier := 1440
else if (str.endswith(tf, "W"))
multiplier := 10080
else if (str.endswith(tf, "M"))
multiplier := 43200
else if (str.endswith(tf, "H"))
multiplier := int(str.tonumber(str.replace(tf, "H", "")))
else
multiplier := int(str.tonumber(str.replace(tf, "m", "")))
multiplier
// Get minutes for current and higher timeframes
currentTFMinutes = timeframeToMinutes(timeframe.period)
higherTFMinutes = timeframeToMinutes(TimeFrame_Trend)
// Calculate the smoothing factor
dynamicSmoothing = math.round(higherTFMinutes / currentTFMinutes)
MA_Value_Smooth = ta.sma(MA_Value_HTF, dynamicSmoothing)
Complete Strategy
The MACD and HTF moving average is used to determine when to enter a new position. However a strategy should consider more factors than only the timing of entering a trade. To complete the strategy I included:
an option to choose from different MA types per indicator
a Risk Management Tool
a Take Profit Logic
a Trailing stop loss
a Hard Stoploss
a visual representation of TP and SL
This is merely an example how to structure a strategy and many different setups are possible.
The features in this script are explained below:
Different MA types
The script supports various MA types like EMA, SMA, DEMA, TEMA, WMA and HMA. You can select the MA type and different timeframe to your liking.
Risk Management Tool
Traders can choose to allocate their position size based on a percentage of equity or a fixed number of contracts. This feature ensures prudent risk management and helps traders align their position sizes with their risk tolerance. In the strategy -0.5 is equal to 50% of equity and 1.5 is 150% of equity used. Make sure to align the % of equity with your maxdrawn results with backtesting. Personally I don't want higher max drawdowns than 15%. For the strategy results the script considers 0.05 commission rate on each trade, to stay conservative. For a more detailed explanation I refer to my earlier published tradingviewblog about risk management:
Take Profit Logic
The take profit logic in this script is designed for optimization, offering three distinct exit levels. Traders can customize these levels based on their risk appetite. The script allows adjustment of both the percentage take profit level and the position size, catering to individual trading strategies and objectives. The default settings closes 33% of the position when TP target is hit. The TP levels are simply calculated by inputting a % of of the entryprice.
Trailing Stop and Hard Stoploss
To mitigate downside risks and protect profits, the script incorporates a well-thought-out trailing stop mechanism based on the Average True Range (ATR). This dynamic trailing stop adapts to market volatility, allowing traders to secure gains while letting profitable positions run. Additionally, to prevent significant losses, a fixed stop loss is implemented, providing an added layer of protection.
Visual Representation of Take Profit and Stoploss Levels
For enhanced visualization, take profit and stoploss levels are displayed on the chart. Take profit levels are depicted with green lines, providing a clear indication of potential exit points. Conversely, the trailing stop loss is presented by the red line, serving as visual cues for risk management. Visualizing indicators makes is easier to optimize settings to your liking.
Ideal Settings and Accessibility
This script is intended to be used on lower timeframe charts like 10 to 30 minutes. You can Align the MACD entry settings equal to your opened timechart or use a slightly higher timeframe. For the MA trend filters, higher timeframe settings such as 30 min, 1 hour, 4 hours, or 1 day are recommended for trading the trend.
Disclaimer
Trading involves significant risk and may not be suitable for all investors. The information provided in this script is for educational purposes only and should not be considered as financial advice. Past performance is not indicative of future results. By using this script, you acknowledge that you understand and accept these risks.
Time Session Filter - MACD exampleTime Session Filter in TradingView Strategy: A Comprehensive Guide
Welcome to this educational TradingView blog where we dive deep into the functionality and utility of the time session filter in trading strategies. It's interesting to note that the time session filter is a commonly overlooked feature in Pine Script, often not integrated into overall trading strategies. Yet, when used wisely, this tool can significantly enhance your trading approach. In essence, the session filter ensures that trades are only made within a specific, user-defined time frame. By incorporating this often-neglected building block, you can make your strategy more adaptable to various market conditions and trading preferences.
What is a Time Session Filter?
A time session filter is designed to:
Select Times of the Day to Trade: The filter allows you to choose specific hours during the day in which trades are allowed to be excecuted.
Toggle Days to Trade: You can decide which days of the week you want to trade, giving you the flexibility to avoid days that are historically not profitable for your strategy.
Close Trade When Session Ends: The filter can automatically close any open trade once the specified time session concludes, reducing the risk associated with holding positions outside your chosen time frame.
The user interface is streamlined, taking minimal space for the input sections, making it convenient to integrate with other indicators in your overall strategy script. In addition the script colors the background of the chart green when the timesession filter is on and makes the background red when the filter doesn't allow any trades. This helps you to visualise the selected timeframes in relation to chart patterns.
Best Practices for Time Selection
From my personal trading experience I share some input settings you can try to play around with:
Stocks: Trading stocks sometimes yield better results if you only trade in the mornings until lunchtime. This is the period when markets are generally more active, and traders are keenly participating.
Cryptocurrencies: For cryptocurrencies, it sometimes makes sense to avoid trading on Fridays, a day when futures contracts often expire. Various other market-moving events also typically occur on Fridays.
Random Selection: Interestingly, sometimes choosing a random selection of times and days can improve the script's performance, adding an element of unpredictability that might outperform more systematic approaches.
Strategy Overview
This strategy script incorporates various elements, including risk position size and MACD indicator, to provide a comprehensive trading strategy. For a detailed explanation of risk position sizing, please refer to this article:
For a complete understanding of the MACD indicator utilized, visit the following explanation:
Additionally, for high time frame trend filters, consult this resource for more info:
Educational Purposes and Risks
Please note that this script is for educational purposes and serves merely as an example of how to incorporate a time session filter into a trading strategy for pinescript. It is a simplified strategy without a fixed stop-loss, which can result in higher exposure to significant losses. The time session filter can be a powerful addition to your trading strategy, providing you with the tools to tailor your approach according to time-specific market conditions. By understanding its functionalities and best practices, you can make more informed trading decisions, but always remember that trading carries inherent risks.
Happy trading!
HTF star - trailingDescription:
The HTF - Stars (Highertimeframe Stars) Strategy Script is designed to explore the behavior of a strategy using multiple timeframes. This experimental script focuses on identifying star candle patterns on a chosen higher timeframe and capturing subsequent price movements on a lower timeframe. By leveraging the power of star candle patterns forming on a higher timeframe, this strategy aims to capture potential trading opportunities on a shorter timeframe.
Key Features:
Multiple Timeframe Analysis: The strategy script allows you to be on a lower timeframe while searching for star candle patterns on a higher timeframe using the security function. This approach enables you to take advantage of higher timeframe insights and potentially capture favorable price movements on a shorter timeframe.
Star Candle Pattern Detection: The script identifies star candle patterns on the chosen higher timeframe. After the candle closes, a buy or sell order is executed on the lower timeframe, signaling a potential trading opportunity based on the detected pattern.
Trailing Stop: The strategy utilizes a trailing stop feature to manage trades. The trailing stop is set at a specified ATR (Average True Range) distance above or below the candle closes. This mechanism allows you to capture potential profits if the price moves in the anticipated direction and then reverses.
Mean Reversion Potential: During backtesting, it was observed that shorting stars above the 360 MA (Moving Average) and taking long positions on stars below the 360 MA yielded the most profitable results in the current market conditions. This suggests that star candle patterns in this context may serve as potential mean reversion signals. However, user inputs allow for customization, enabling you to experiment with different trading approaches when a star candle is detected.
Backtesting Feature: The script includes a backtesting feature that uses a percentage of equity, with 1% of equity set as the default. It displays a table presenting various statistics about the strategy's performance, providing valuable insights into its historical results.
Adjustable User Inputs: The script offers multiple adjustable settings, each accompanied by tooltips explaining their functionality. This flexibility allows you to fine-tune the strategy according to your preferences and experiment with different parameters to optimize its performance.
Disclaimer:
The HTF - Stars Strategy Script is provided for experimental and educational purposes only. Trading in the financial markets involves risk, and you should only trade with funds that you can afford to lose. The information presented in this script does not constitute financial advice or investment recommendations. Always conduct your own research and due diligence before making any investment decisions. The creator of this script shall not be held responsible for any losses or damages incurred from the use of this script. Historical performance is not indicative of future results.
Please note that past performance is not necessarily indicative of future results. Trading the markets involves risk, and there is no guarantee that the strategy described will be profitable for you. It is important to thoroughly test the strategy, adapt it to your trading style, and use proper risk management techniques.
VWAP Push StrategyThis strategy is unfortunately not finished yet.
A pretty simple strategy. If price broke through VWAP and had three consecutive candles following the breakthroughs trend, the high of the third candle will be drawn. If this happened after a crossover of the vwap and price breaks through the high of the third candle, strategy will go long. Short will be the same after crossing under the vwap. A long or short will be closed after crossing the vwap in the opposite direction, so the vwap is kind of a trailing stop.
Unfortunately, I could not manage to stop the script from entering multiple times into one drawn high or low. Of course, if a high was crossed the script should wait for a new formed high before entering a new long. If someone would find a solution to this, it would be great, because I think it is a nice strategy .
Should work great scalping 5min charts (when scripting, I used the SPX for reference).
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
Advantages of this script:
Strategy has high net profit of 255% at backtests
Backtests show high accuracy around 75%
Low Drawdowns of around 14% at backtests
Strategy is sustainable to market slumps and can be used for long-term trading
The strategy provides a large number of entries which is good for diversification
Can be applied to any market and quote currency
Easy to configure user interface settings
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
Overnight Gap AnalysisThere is a wide range of opinion on holding positions overnight due to gap risk. So, out of curiosity, I coded this analysis as a strategy to see what the result of only holding a position overnight on an asset would be. The results really surprised me. The script backtests 10+ years, and here are the findings:
Holding a position for 1 hour bar overnight on QQQ since January 2010 results in a 545% return. QQQ's entire return holding through the same period is 643%
The max equity drawdown on holding that position overnight is lower then the buy/hold drawdown on the underlying asset.
It doesn't matter if the last bar of the day is green or red, the results are similar.
It doesn't matter if it is a bull or bear market. Filtering the script to only trade when the price is above the 200-day moving average actually reduces its return from 545% to 301%, though it does also reduce drawdown.
I see similar patterns when applying the script to other index ETFs. Applying it to leveraged index ETFs can end up beating buy/hold of the underlying index.
Since this script holds through the 1st bar of the day, this could also speak to a day-opening price pattern
The default inputs are for the script to be applied to 1 hour charts only that have 7 bars on the chart per day. You can apply it to other chart types, but must follow the instructions below for it to work properly.
What the script is doing :
This script is buying the close of the last bar of the day and closing the trade at the close of the next bar. So, all trades are being held for 1 bar. By default, the script is setup for use on a 1hr chart that has 7 bars per day. If you try to apply it to a different timeframe, you will need to adjust the count of the last bar of the day with the script input. I.e. There are 7 bars per day on an hour chart on US Stocks/ETFs, so the input is set to 7 by default.
Other ways this script can be used :
This script can also test the result of holding a position over any 1 bar in the day using that same input. For instance, on an hour chart you can input 6 on the script input, and it will model buying the close of the 6th bar of the day while selling on the close of the next bar. I used this out of curiosity to model what only holding the last bar of the day would result in. On average, you lose money on the last bar every day.
The irony here is that the root cause of this last bar of the day losing may be people selling their positions at the end of day so that they aren't exposed to overnight gap risk.
Disclaimer: This is not financial advice. Open-source scripts I publish in the community are largely meant to spark ideas that can be used as building blocks for part of a more robust trade management strategy. If you would like to implement a version of any script, I would recommend making significant additions/modifications to the strategy & risk management functions. If you don’t know how to program in Pine, then hire a Pine-coder. We can help!
[Hercules] Backtest FrameworkLevel: 5
Background
Backtesting of technical indicators and strategies is the most common way to understand a quantitative strategy. However, the complicated configuration and adaptation work of backtesting many quantitative tools makes many traders who do not understand the code daunted. Moreover, although I have written a lot of strategies,
However, I am still not very satisfied with the backtest configuration and writing efficiency. Therefore, I have been thinking about how to build a backtesting framework that can quickly and easily evaluate the backtesting performance of any indicator with a "long/short entry" indicator, that is, a "simple backtesting tool for dummies". The performance requirements should be stable, and the operation should be simple and convenient. It is best to "copy", "paste", and "a few mouse clicks" to complete the quick backtest and evaluation of a new indicator.
Luckily, I recently realized that TradingView provides an "Indicator on Indicator" feature, which is the perfect foundation for doing "hot swap" backtesting. My basic idea is to use a two-layer design. The first layer is the technical indicator signal source that needs to be embedded, which is only used to provide buy and sell signals of custom strategies; the second layer is the trading system, which is used to receive the output signals of the first layer, and filter the signals according to the agreed specifications. , Take Profit, Stop Loss, draw buy and sell signals and cost lines, define and send custom buy and sell alert messages to mobile phones, social software or trading interfaces. In general, this two-layer design is a flexible combination of "fixed and flexiable", which can meet the needs of most traders to quickly evaluate the performance of a certain technical indicator. The first layer here is flexible. Users can insert their own strategy codes according to my template, and they can draw buy and sell signals and output them to the second layer. The second layer is fixed, and the overall framework is solidified to ensure the stability and unity of the trading system. It is convenient to compare different or similar strategies under the same conditions. Finally, all trading signals are drawn on the chart, and the output strategy returns. test report.
The main function:
The first layer: "{Hercules/Sextan} Your Indicator Source", the script provides a template for personalized strategy input, and the signal and definition interfaces ensure full compatibility with the second layer. Backtesting is performed stably in the backtesting framework of the layer. The first layer of this script is also relatively simple: enter your script in the highlighted custom script area, and after ensuring the final buy and sell signals long = bool condition, short = bool condition, the design of the first layer is considered complete. Input it into the PINE script editor of TradingView, save it and add it to the chart, you can see the pulse sequence in yellow (buy) and purple (sell) on the sub-picture, corresponding to the main picture, you can subjectively judge that the quality of the trading point of the strategy is good Bad.
The second layer: "{Hercules} Backtest Framework". This script is the standardized trading system strategy execution and alarm, used to generate the final report of the strategy backtest and some key indicators that I have customized that I find useful, such as: winning rate , Odds, Winning Surface, Kelly Ratio, Take Profit and Stop Loss Thresholds, Trading Frequency, etc. are evaluated according to the Kelly formula. To use the second layer, first load it into the TrainingView chart, no markers will appear on the chart, since you have not specified any strategy source signals, click on the gear-shaped setting next to the "{Hercules} BTFW" header button, you can open the backtest settings, the first item is to select your custom strategy source. Because we have added the strategy source to the chart in the previous step, you can easily find an option "{Hercules/Sextan} Your Indicator Source: Signal" at the bottom of the list, this is the strategy source input we need, select and confirm , you can see various markers on the main graph, and quickly generate a backtesting profit graph and a list of backtesting reports. You can generate files and download the backtesting reports locally. You can also click the gear on the backtest chart interface to customize some conditions of the backtest, including: initial capital amount, currency type, percentage of each order placed, amount of pyramid additions, commission fees, slippage, etc. configuration. Note: The configuration in the interface dialog overrides the same configuration implemented by the code in the backtest script.
How to output charts:
The first layer: "{Hercules/Sextan} Your Indicator Source", the output of this script is the pulse value of yellow and purple, yellow +1 means buy, purple -1 means sell.
The second layer: Hercules Backtest Framework". The output of this script is a bit complicated. After all, it is the entire trading system with a lot of information:
1. Blue and red arrows. The blue upward arrow indicates long position, the red downward arrow indicates short position, and the horizontal bar at the end of the purple arrow indicates take profit or stop loss exit.
2. Red and green lines. This is the holding cost line of the strategy, green represents the cost of holding a long position, and red represents the cost of holding a short position. The cost line is a continuous solid line and the price action is relatively close.
3. Green and yellow long take profit and stop loss area and green and yellow long take profit and stop loss fork. Once a long position is held, there is a conditional order for take profit and stop loss. The green horizontal line is the long take profit ratio line, and the yellow is the long stop loss ratio line; the green cross indicates the long take profit price, and the yellow cross indicates the long position. Stop loss price. It's worth noting that the prongs and wires don't necessarily go together. Because of the optimization of the algorithm, for a strong market, the take profit will occur after breaking the take profit line, and the profit will not be taken until the price falls.
4. The purple and red short take profit and stop loss area and the purple red short stop loss fork. Once a short position is held, there will be a take profit and stop loss conditional order, the red is the short take profit ratio line, and the purple is the short stop loss ratio line; the red cross indicates the short take profit price, and the purple cross indicates the short stop loss price.
5. In addition to the above signs, there are also text and numbers indicating the profit and loss values of long and short positions. "L" means long; "S" means short; "XL" means close long; "XS" means close short.
TradingView Strategy Tester Panel:
The overview graph is an intuitive graph that plots the blue (gain) and red (loss) curves of all backtest periods together, and notes: the absolute value and percentage of net profit, the number of all closed positions, the winning percentage, the profit factor, The maximum trading loss, the absolute value and ratio of the average trading profit and loss, and the average number of K-lines held in all trades.
Another is the performance summary. This is to display all long and short statistical indicators of backtesting in the form of a list, such as: net profit, gross profit, Sharpe ratio, maximum position, commission, times of profit and loss, etc.
Finally, the transaction list is a table indexed by the transaction serial number, showing the signal direction, date and time, price, profit and loss, accumulated profit and loss, maximum transaction profit, transaction loss and other values.
Remarks
Finally, I will explain that this is just the beginning of this model. I will continue to optimize the trading system of the second layer. Various optimization feedback and suggestions are welcome. For valuable feedback, I am willing to provide some L4/L5 technical indicators as rewards for free subscription rights.
Subscription
To encourage more people use this framework and avoid some abuse this one, I would like to set
100 Tradingview Coins per Monthly Subscription.
100X10 Tradingview Coins per Yearly Subscription.
[Sextan] PINEv4 Sextans Backtest FrameworkLevel: 5
Background
Backtesting of technical indicators and strategies is the most common way to understand a quantitative strategy. However, the complicated configuration and adaptation work of backtesting many quantitative tools makes many traders who do not understand the code daunted. Moreover, although I have written a lot of strategies,
However, I am still not very satisfied with the backtest configuration and writing efficiency. Therefore, I have been thinking about how to build a backtesting framework that can quickly and easily evaluate the backtesting performance of any indicator with a "long/short entry" indicator, that is, a "simple backtesting tool for dummies". The performance requirements should be stable, and the operation should be simple and convenient. It is best to "copy", "paste", and "a few mouse clicks" to complete the quick backtest and evaluation of a new indicator.
Luckily, I recently realized that TradingView provides an "Indicator on Indicator" feature, which is the perfect foundation for doing "hot swap" backtesting. My basic idea is to use a two-layer design. The first layer is the technical indicator signal source that needs to be embedded, which is only used to provide buy and sell signals of custom strategies; the second layer is the trading system, which is used to receive the output signals of the first layer, and filter the signals according to the agreed specifications. , Take Profit, Stop Loss, draw buy and sell signals and cost lines, define and send custom buy and sell alert messages to mobile phones, social software or trading interfaces. In general, this two-layer design is a flexible combination of "fixed and flexiable", which can meet the needs of most traders to quickly evaluate the performance of a certain technical indicator. The first layer here is flexible. Users can insert their own strategy codes according to my template, and they can draw buy and sell signals and output them to the second layer. The second layer is fixed, and the overall framework is solidified to ensure the stability and unity of the trading system. It is convenient to compare different or similar strategies under the same conditions. Finally, all trading signals are drawn on the chart, and the output strategy returns. test report.
The main function:
The first layer: "{Sextan} Your Indicator Source", the script provides a template for personalized strategy input, and the signal and definition interfaces ensure full compatibility with the second layer. Backtesting is performed stably in the backtesting framework of the layer. The first layer of this script is also relatively simple: enter your script in the highlighted custom script area, and after ensuring the final buy and sell signals long = bool condition, short = bool condition, the design of the first layer is considered complete. Input it into the PINE script editor of TradingView, save it and add it to the chart, you can see the pulse sequence in yellow (buy) and purple (sell) on the sub-picture, corresponding to the main picture, you can subjectively judge that the quality of the trading point of the strategy is good Bad.
The second layer: "{Sextan} PINEv4 Sextans Backtest Framework". This script is the standardized trading system strategy execution and alarm, used to generate the final report of the strategy backtest and some key indicators that I have customized that I find useful, such as: winning rate , Odds, Winning Surface, Kelly Ratio, Take Profit and Stop Loss Thresholds, Trading Frequency, etc. are evaluated according to the Kelly formula. To use the second layer, first load it into the TrainingView chart, no markers will appear on the chart, since you have not specified any strategy source signals, click on the gear-shaped setting next to the "{Sextan} PINEv4 Sextans BTFW" header button, you can open the backtest settings, the first item is to select your custom strategy source. Because we have added the strategy source to the chart in the previous step, you can easily find an option "{Sextan} Your Indicator Source: Signal" at the bottom of the list, this is the strategy source input we need, select and confirm , you can see various markers on the main graph, and quickly generate a backtesting profit graph and a list of backtesting reports. You can generate files and download the backtesting reports locally. You can also click the gear on the backtest chart interface to customize some conditions of the backtest, including: initial capital amount, currency type, percentage of each order placed, amount of pyramid additions, commission fees, slippage, etc. configuration. Note: The configuration in the interface dialog overrides the same configuration implemented by the code in the backtest script.
How to output charts:
The first layer: "{Sextan} Your Indicator Source", the output of this script is the pulse value of yellow and purple, yellow +1 means buy, purple -1 means sell.
The second layer: PINEv4 Sextans Backtest Framework". The output of this script is a bit complicated. After all, it is the entire trading system with a lot of information:
1. Blue and red arrows. The blue upward arrow indicates long position, the red downward arrow indicates short position, and the horizontal bar at the end of the purple arrow indicates take profit or stop loss exit.
2. Red and green lines. This is the holding cost line of the strategy, green represents the cost of holding a long position, and red represents the cost of holding a short position. The cost line is a continuous solid line and the price action is relatively close.
3. Green and yellow long take profit and stop loss area and green and yellow long take profit and stop loss fork. Once a long position is held, there is a conditional order for take profit and stop loss. The green horizontal line is the long take profit ratio line, and the yellow is the long stop loss ratio line; the green cross indicates the long take profit price, and the yellow cross indicates the long position. Stop loss price. It's worth noting that the prongs and wires don't necessarily go together. Because of the optimization of the algorithm, for a strong market, the take profit will occur after breaking the take profit line, and the profit will not be taken until the price falls.
4. The purple and red short take profit and stop loss area and the purple red short stop loss fork. Once a short position is held, there will be a take profit and stop loss conditional order, the red is the short take profit ratio line, and the purple is the short stop loss ratio line; the red cross indicates the short take profit price, and the purple cross indicates the short stop loss price.
5. In addition to the above signs, there are also text and numbers indicating the profit and loss values of long and short positions. "L" means long; "S" means short; "XL" means close long; "XS" means close short.
TradingView Strategy Tester Panel:
The overview graph is an intuitive graph that plots the blue (gain) and red (loss) curves of all backtest periods together, and notes: the absolute value and percentage of net profit, the number of all closed positions, the winning percentage, the profit factor, The maximum trading loss, the absolute value and ratio of the average trading profit and loss, and the average number of K-lines held in all trades.
Another is the performance summary. This is to display all long and short statistical indicators of backtesting in the form of a list, such as: net profit, gross profit, Sharpe ratio, maximum position, commission, times of profit and loss, etc.
Finally, the transaction list is a table indexed by the transaction serial number, showing the signal direction, date and time, price, profit and loss, accumulated profit and loss, maximum transaction profit, transaction loss and other values.
Remarks
Finally, I will explain that this is just the beginning of this model. I will continue to optimize the trading system of the second layer. Various optimization feedback and suggestions are welcome. For valuable feedback, I am willing to provide some L4/L5 technical indicators as rewards for free subscription rights.
Subscription
To encourage more people use this framework and avoid some abuse this one, I would like to set
100 Tradingview Coins per Monthly Subscription.
100X10 Tradingview Coins per Yearly Subscription.
Alpha Candle Breakout Signal on Momentum from Support Resistance
Hello traders,
Let’s start with a brief description of what this strategy/indicator is and what it does and how we trade based on Alpha Candles.
The definition of an Alpha Candle is that it is mathematically calculated, and significantly bigger than the previous candles. This could be a green candle or a red candle, as long as the body is significantly bigger than the previous candles at the end of the calculation. All calculations are done in real time, we do NOT paint the candle sticks after the close of the candle and do not use offset values. This is extremely important. You will see the candle changing it's color as the body of the candle gets bigger with real time data feed. (Recalculate On Every Tick is ON by default). Now besides the mathematical calculations, an Alpha Candle also represents the emotion in the market for that stock in that moment. We can also say that an Alpha Candle is a change in the momentum.
Now that we’ve identified the Alpha candle, the second step is, to have a look at the chart and identify if the Alpha candle is breaking to a new high / low from a consolidation period, or from a good chart pattern (ascending / descending triangle , pennant , sideways consolidation) or a sudden direction change of the stock (bounce). Remember, the script will paint all Alpha candles regardless.
NVAX day trading example
Forex
Crypto
PLUG (Bounce example)
The script will identify the Alpha candles that are breaking to a new high / low from a user input look back period (default is 20 bars back, but this can be changed by the user input). An Alpha candle that breaks the look back period, will have a stop loss line below for Green Alpha or above for Red Alpha Candle and reward targets, like target1 or target2 (both are user input fields, can be adjusted to personal R values, default values are 2R and 3R)
A 2R means two times the reward (profit) of a 1-unit risk. If you are comfortable of loosing $50 per trade which will be considered 1-unit, then 2R means $100 reward (profit) target and a 3R is $150 reward (profit) target. Those R values will be plotted and/or labelled on the chart with dollar amounts if desired. You can change your R values from the user input area, even with decimal points, like 2.5R or 3.75R. If you shoot for at least 2R, you could be wrong 6 times out of 10, and still make 2R profit, as long as the other 4 trades give you a total of 8R. This is a basic trading concept. It will force the new traders to focus on risk/reward rather then a gambling attitude.
The script is meant to work with candle stick chart patterns only, it is NOT meant to work with ranges, line charts or point and figure charts. It will work with time frames like (seconds,1,2,3,5,10 minute or any minutes, daily, weekly). If you are trading IPOs , there might not be enough data for the script to do the calculation, so just be aware.
The script will identify the candles if they are Green Alpha (going up, bullish ) or Red Alpha (going down, bearish ). In order to see them clearly, we’ve greyed out the rest of the candles, and made Green Alpha candles white, and Red Alphas are left as red. You can change the colors from the user input area.
There is also a look back period, between 1-55 and the initial value is 20 for Green Alpha and 10 for Red Alpha. So, if the Alpha Candle breaks this look back period, it will be considered as an opportunity to take the trade. The code will put the stop loss area, possible target1 and target2 areas with a blue diamond and will draw the resistance/support lines for that Alpha candle. Depending on the individual’s risk tolerance, a label on the right side of the screen will show the risk tolerance (user input value) and the number of shares to be traded based on the risk tolerance (# of shares will be for the last Alpha Candle that is formed, it will constantly update itself with the new Alpha Candle)
For those who might be familiar with the three-bar play, we implemented something similar, so the code will find them in real time. Once an Alpha Candle is formed, if the following candle is a very small candle, also called pin bar , it will be painted to orange, so you can see it clearly. This pin bar is significantly smaller than the previous candles and formed right after an Alpha Candle.
Like anything in life, nothing is free. Meaning you have to work for it. So if you are looking to buy/sell blindly based on some indicators and signals, please do not consider this script. However, once you start using it, you will see how patterns repeat, when they repeat and how they repeat. It will identify the action, but you have to check the validity from the charts, so user discretionary is advised. As an example, if the Alpha candle is breaking from a consolidation period at $10. Let’s assume stop loss is at $9 so the 2R target will be $12, but if there is a possible resistance at $11, then the trader has to decide to take the trade for a possible 1R return, or skip the trade.
We try to approach the trading as a set of rules and processing the trades one by one, with a calculated risk and reward. This script will give you the Candle stick formation that is worth consideration and will draw the Stop Loss area (you can tweak this to your liking), will draw the 2-3R Targets, and will calculate the number of shares to be purchased based on the Risk Tolerance user entered in the user input area. The rest is to let the trade take care of it self.
Charts and patterns work better, when there is enough volume in a particular stock. If the stock is trading very low in volume , things will not work as expected. So, we must focus on the abnormal stocks, like gap gainers, volume gainer stocks, or heavily traded stocks (for intraday trading). For swing or long-term traders, one could look for a Green Alpha candle, assess the risk and possible return and trade the plan on a daily chart pattern (long term), or 15,30,60 min charts for swing trades.
If you are looking to short a stock, look for stocks that are weak (gap downs), so look for Red Alpha formations in that stock.
Once the back testing is turned on, code will generate buy/sell signals, otherwise it will work as an indicator. But please keep in mind….. For day trading, the stock has to be abnormally trading, so the chart patterns and the Alpha Candles work correctly. Volume has to be more than usual. It is the best way to have predictable results for day trading. If the volume of the stock is 2-5 times or more than the average of 20 days period (early in the morning), and even more later in the day, it is a good indication that the stock is trading on an abnormal volume with some news (pre-market abnormality is a good sign for possible abnormality for that stock).
For back testing, user can select from the user input area :
• Long or Short Trades or both or use the script as an indicator
• Close any open position if an Alpha candle forms in the opposite direction
• Pyramid the trades up to 4 levels (allow to buy/sell 4 times in the same direction every time another Alpha Candle forms)
• Breakout/breakdown look back period (every time an Alpha Candle forms and breaks this look back period, it will be a trade opportunity)
• Target Reward areas
• Stop Loss area
• Time frame (change the time frame and observe which time frame made good profit. Test the plan for future trades. Test it in as many abnormal stocks for the day they were behaving abnormal as possible). Time frame is not a user input field, just the time frame of the chart, 2,5,10 min, 1 hour etc.
• Selective date testing (between two dates/times). This is very important as most of the good opportunities comes from abnormal price action with volume . If you back test with the maximum amount of data for that abnormal stock on that day, it will produce unrealistic results, because the stock will have a normal course of trend before the news. Remember, we are looking for stocks that are trading abnormal in both price and volume or stocks like AAPL , TSLA which are trading heavily on each day. It is also a good way to learn, how and when to buy/sell, where to put stop losses by observing the chart with the Alpha Candles showing the results.
• All the above values will have an impact on the total profit / loss.
F (Ford Motors)
Now that we’ve covered what the script does, let’s plan the trade and trade the plan.
Side Note:
-------------
We started coding this as an indicator to show the Alpha Candles to find opportunities in the market. Later in the development, we implemented it as a Strategy, to be able to back test the ideas, to tweak some rules for entry/exit and see the effects on our profit/loss percentages in general. We kept the original idea being an Indicator, to show us the Alpha Candles in real time. This requires the option “Indicator Mode” is to be selected from the User Input area, and leaving the “Recalculate On Every Tick” is selected from the Properties tab of the strategy (as of Pine Script v5). Strategy is turning this “On” by default.
Disclaimer: This script is an educational and personal use only tool and should be used accordingly. User can not publish any images created with this code. Do your own due diligence, do not buy / sell stocks based on any indicator, always use stop losses. We do not make any promises as this indicator or any indicator will make you a profitable trader. Trading and technical analysis is difficult, it takes time to build confidence and experience. Study the charts and candlestick formations. Study support/resistance areas and how to identify them. This will help you to tweak the script’s stop loss areas and 2R-3R targets. Do not invest any money you are not comfortable loosing.
This is an invite only strategy. We will give ample time to test it out. After that you will need to subscribe. To get access to this strategy trader can send me an email from the links below.
All the Best
Happy Trading
TradingGroundhog - Fundamental Bot Automation - Fractal/Wave -V1PLEASE READ THE DESCRIPTION - AS THE SCRIPT IS USED FOR AUTOMATION AND TRADING PAIR SWITCH THE MECHANISM CAN BE COMPLICATED TO UNDERSTAND
#-- Pairs Switching - No Repaint - Fractals - Wavetrend --
This strategy uses my fractal/wavetrend previous methods in order to buy/sell.
However, it has been designed in order to switch automatically the pairs on which it trades to reduce the loss and risk.
#-- Synopsis --
To do so, the script uses a Daily wavetrend oscillator. The oscillator is used to find uptrend periods.
From it, the number of uptrend days are counted.
#-- Wavetrend --
For exemple, if BTC/EUR goes from downtrend to uptrend, the script will start to count since how many days the market is uptrend.
Then, if BTC/EUR goes from uptrend to downtrend, the counter will be reset to 0.
The script only trades during uptrend periods.
#-- Pairs --
Up to 35 pairs can be used at the same time. The user can enable of disable to trade on certain pairs.
Uptrend days are counted for each one of those pairs. The user can define on how many pairs the script can trade at the same time.
The select which pairs will be trade, the script sort all the enabled pairs based on their uptrend days counters.
#-- Trade organization --
For exemple if we set 5, as the number of maximum pairs to trade on.
Trades will be conducted on the 5 pairs being in uptrend for the longest time.
Therefore, to organize the money placement on each pair, the equity is used.
For 100% of equity, 10% are kept if losing trades occur.
The remaining 90% are divided by the number of maximum pairs to trade on.
If we chose 5, we will have (90/5) 18% of our capital placed in each bot.
#-- Setting it --
As explained before, this script is used for automation.
For exemple, lets say you are interested by 15 pairs with promising evolution and you set the number of maximum pairs to trade on to 5.
You will have to set alerts for the script on each of the 15 pairs.
You will receive alerts for when to buy and sell.
Note that the script has to be set for each of the selected pairs, it is not able to trade on 15 pairs (thus, webpages) if only set on one Tradingview webpage.
#-- Plot--
Once launch, you can see a plot.
The plot represent the Uptrend days counter for 20 pairs. It also project the organization of the ENABLED pairs.
If a pair is part of the one with the highest number of uprend days. It's name will be displayed under the plot in a yellow comment box.
Four other box are projected to the right of the plot:
White comment : All the pairs sorted from highest number of uptrend days to the lowest.
Red comment : Pairs with the lowest number of uptrend days.
Blue comment : Interesting pairs which will may be uptrend for a long time.
Green comment : Actual pairs with active trading (thus, the pairs with the maximum number of uptrend days)
#-- Bot automation --
If you use 3commas or other trading bot platforms, you will have to set as comments the BUY/SELL alerts. <= Which is what I am doing with it.
Doing so make you trade on multiple pairs, automatically.
However, you will need to set as input the 3commas signal.
For the moment, the script will be needed for it.
However, I will soon release a V2 taking as input the 3commas strategy comments.
For the moment, you can set the script in different webpages and follow BUY/SELL orders by eyes of alerts. ;)
#-- Parameters --
*** Parameters have been intensively optimized using 35 cryptocurrency pairsin order to have potent efficiency for each of them. I would recommend to only change the METHOD SETTINGS. For the others, I don't recommend any modifications. If you need precision on the other parameters of if you want to modify them, more informations can be found in my previous scripts and ***
Filtering method :
Used to reduce or not the risks. If you set Wavetrend, less trades will be conducted as the wavetrend filter from will be used. If you choose Fractal, no Wavetrend signals will be used.
(I prefer to use Fractal as I am using 1 or 3 minutes timeframes for the moment.)
Market Pairs : You can select on which markets the script will trade by enabling it's checkbox.
*** Also, for the moment, due to Pinescript limitation, I cannot set as input the number of active pairs. So I set 5, after optimization, as the default number of maximum pairs to trade on. Thus, you should open webpage for each ENABLED pairs and load the script in each on them. 5 Tradingview webpage will always be active. ***
#-- Timeframe --
You can use the script for Short or Long term trading:
For Short term, you will have to use 1 or 3 minutes timeframes, depending on the volatility of the market. (What I am using)
For Long term, you will have to use 5 or 15 minutes timeframes, depending on the volatility of the market.
#-- Strategy abilities and results for more than a month of activity -- *** !!! IMPORTANT SECTION !!! ***
I have simulated the profit for the 21 ACTIVE pairs I selected has been potent with my Fractal strategy. Different maximum number of trading pairs were used in order to find the best one. The script was run for the last 46 or 30 days.
Different timeframe have been used as pairs have different volatility.
*** If you use the script, SET IT UP with the following pairs and the following timeframes. ***
-------------------------------------------------------------------------------------------------------
Parameters | Maximum number of trading pairs
-------------------------------------------------------------------------------------------------------
Timeframe | Pairs | 1 2 3 5 6 10
-------------------------------------------------------------------------------------------------------
3M | SHIB | 0 0.98 3.63 2.17 2.56 2.56
1M | SOL | 0 1.5 1.08 1.26 0 0
3M | XRP | 10.5 4.56 3.29 2.19 1.52 1.52
3M | ETH | 9.94 6.97 4.55 3.45 2.19 2.19
3M | BTC | 1.7 2.32 1.74 1.88 1.33 1.33
3M | DOT | 0 3.5 2.32 2.27 1.99 1.99
1M | DOGE | 0 0 0 3.14 1.93 1.93
1M | LUNA | 0 0 0 0.23 2.35 2.35
3M | AVAX | 8.92 0 0.53 3.63 1.17 1.17
1M | HOT | 0 0 2.12 7.96 4.69 4.69
3M | GRT | 0 -1.09 -0.82 0.25 -0.191 0
1M | LINK | 0 0 0 0 0 0
1M | CHZ | 0 0 0.4 0.85 1.89 1.91
3M | WIN | 0 0 0.52 5.89 2.8 2..8
3M | ENJ | 32.63 15.65 12.55 10.31 5.62 5.62
3M | RUNE | 0 4.68 3.42 -1.18 2.3 2.3
3M | LTC | 0 -0.06 1.1 1.29 3.49 3.49
3M | BTT | 0 0 0 0.85 1.63 1.63
3M | BCH | 0 0 0 1.36 2.36 2.36
3M | WRX | 0.26 4.66 5.36 4.29 3.01 3.01
3M | ETC | -0.92 0 0 3.6 3.31 3.56
-------------------------------------------------------------------------------------------------------
Net profit % | 63.03 43.67 37.24 55.69 45.949 43.61
Number of days | 46 30 30 46 46 46
Net profit % per day | 1.38 1.46 1.25 1.22 1.00 0.95
-------------------------------------------------------------------------------------------------------
*** Therefore, we are around more than 1% per day in each case. ***
#-- Choosing pairs --
I selected the 35 cryptocurrencies which can be exchange with EUR and evaluated the ability of my Fractal script on them. The on which have been ENABLED (true) are the best.
BINANCE:SHIBEUR | true
BINANCE:SOLEUR | true
BINANCE:XRPEUR | true
BINANCE:ETHEUR | true
BINANCE:BTCEUR | true
BINANCE:DOTEUR | true
BINANCE:ENJEUR | true
BINANCE:DOGEEUR | true
BINANCE:LUNAEUR | true
BINANCE:VETEUR | false
BINANCE:BNBEUR | false
BINANCE:AVAXEUR | true
BINANCE:HOTEUR | true
BINANCE:EGLDEUR | false
BINANCE:GRTEUR | true
BINANCE:MATICEUR | false
BINANCE:LINKEUR | true
BINANCE:CHZEUR | true
BINANCE:ICPEUR | false
BINANCE:UNIEUR | false
BINANCE:WINEUR | true
BINANCE:ADAEUR | false
BINANCE:RUNEEUR | true
BINANCE:TRXEUR | false
BINANCE:THETAEUR | false
BINANCE:EOSEUR | false
BINANCE:LTCEUR | true
BINANCE:XLMEUR | false
BINANCE:BTTEUR | true
BINANCE:SXPEUR | false
BINANCE:LAZIOEUR | false
BINANCE:YFIEUR | false
BINANCE:BCHEUR | true
BINANCE:WRXEUR | true
BINANCE:ETCEUR | true
TradingGroundhog - Strategy & Fractal V1#-- Public Strategy - No Repaint - Fractals -- Short term
Here I come with another script, more simple than Wavetrend V1. You will love it.
#-- Synopsis --
Another simple idea, on a small time frame (15 min) we buy when the opening price goes below a Bottom fractals and sell when it goes over a Top fractals, but as this script do not use Wavetrends. You should stop by your self to use the script during long lasting downtrends.
I developed the strategy using BTC /EUR 3 MIN BINANCE but it can be applied to many other cryptos, I don't know for forex or others. You can use it for short term (to a month of uptrend) and automated trading.
#-- Graph reading --
And now, how to read it ?
Fractals:
Yellow Flags occur when the opening price goes below a Bottom fractal , it means Buy.
White Flags appear when the opening price goes over a Top fractal , it means Sell.
#-- Parameters --
*** Parameters have been intensively optimized using 10 cryptocurrency markets in order to have potent efficiency for each of them. I would recommend to only change the Can Be touch parameter. For the others, I don't recommend any modifications. The idea behind the script is to be able to switch between markets without having to optimize parameters, less work, easy to target active crypto and therefor limit the risks. ***
Can be touch :
'Filter fractals' : Activate or Disable the filtering fractal operation. If Enable, buy during less risky periods. (Activate is often better)
Can be touch but not necessary :
'VolumeMA' : The Volume corrector used by the fractals
'Extreme window' : The number of price individuals to look for if we want to remove extreme fractals.
Not to touch :
'Long Sop Loss (%)' : The minimal difference of price between a Fractal bottom and the opening price to buy.
#-- Time frame --
Should be used with the following time frames depending on the necessity:
1 MIN
3 MIN (Preferred with the parameters set)
5 MIN
#-- Last words --
The script can be set up to send Tradingview signals to 3comma just by adding comment = " " in strategy.close_all() and strategy.entry().
Good trades !
Disclaimer (As it should always be one to any script)
***
This script is intended for and only to be used for personal purposes only. No such information provided by it constitutes advice or a recommendation for any investment or trading strategy for any specific person. There is no guarantee presented or implied as to the accuracy of specific forecasts, projections, or predictive statements offered by the script. Users of the script agree that its original developer does not take responsibility for any of your investment decisions. Please seek professional advice before trading.
***
# Here are the results from the 20rst of September 2021 with 100% of equity on the BTC /EUR 3 Min and with a capital of 10 000 EUR. So almost, one month.
# As I saw, it goes from +30% to more than +160% (the great SHIB) depending on the selected crypto. It may be negative if you spot a downtrend.
TradingGroundhog - Strategy & Wavetrend V2#-- Public Strategy - No Repaint - Fractals - Wavetrend --
Here I come with another script, a nice and simple strategy based on fractals and Wavetrends.
#-- Synopsis --
A simple idea, on a small time frame (15 min) we buy when the opening price goes below a Bottom fractals and sell when it goes over a Top fractals, but in order to avoid bad and evil downtrends, we use Wavetrends based on a Daily time frame. From it, Tops and Bottoms are extracted. If the opening price goes above Wavetrend Tops, no trades will be conducted during the day. If the price goes below Wavetrend bottoms, no trades will be executed from 1 to N days, until a new Wavetrend bottom is generated.
I developed the strategy using BTC /EUR 15 MIN BINANCE but it can be applied to many other cryptos, I don't know for forex or others. You can use it for long term and automated trading, I implemented the Wavetrend indicator to do so, or for short term if you have spot a long coming uptrend. Test it, look at its profit and long or short period on your crypto of choice.
#-- Graph reading --
And now, how to read it ?
Wavetrends:
Red Backgrounds are associated to No Trade periods. These periods occur when the price goes below a Wavetrend bottom or above a Wavetrend Top. They are here to limit the loss.
Blue Gradient lines represent the past Tops. For each bar, only the increasing values of the Wavetrend tops are acquired. Going from light to dark blue based on the age of the Tops. Thus, if on line goes from dark to light, this means the price is approaching a previous Wavetrend top. In the opposite, if it darken, thus the price say 'buy buy' and go dropping.
Yellow Gradient lines represent the past Bottoms. They are based on the same principe that the blue lines.
Fractals:
Yellow Flags occur when the opening price goes below a Bottom fractal , it means Buy.
White Flags appear when the opening price goes over a Top fractal , it means Sell.
#-- Parameters --
*** Parameters have been intensively optimized using 10 cryptocurrency markets in order to have potent efficiency for each of them. I would recommend to only change the Can Be touch parameter. For the others, I don't recommend any modifications. The idea behind the script is to be able to switch between markets without having to optimize parameters, less work, easy to target active crypto and therefor limit the risks. ***
Can be touch :
'Combined Smoothness' : The number of open individuals used by the Wavetrend. (6 or 9, often 9 is better but with less volatile crypto it will be 6)
'Filter fractals' : Activate or Disable the filtering fractal operation. If Enable, buy during less risky periods. (Disable is often better)
Can be touch but not necessary :
'VolumeMA' : The Volume corrector used by the fractals
'Extreme window' : The number of price individuals to look for if we want to remove extreme fractals.
Not to touch :
'Limit_candle to look on' : Number of candles to use to compute the Wavetrend Tops and Bottoms.
'Length top bottom drawn' : Size of the lines
'Long Sop Loss (%)' : The minimal difference of price between a Fractal bottom and the opening price to buy.
#-- Time frame --
Should be used with the following time frames depending on the necessity:
1 MIN
3 MIN (Interesting for short term profit, may need some parameter ajustements)
5 MIN
15 MIN (Preferred for long term profit, the script was developed on it)
#-- Last words --
The script can be set up to send Tradingview signals to 3comma just by adding comment = " " in strategy.close_all() and strategy.entry().
Good trades !
Disclaimer (As it should always be one to any script)
***
This script is intended for and only to be used for personal purposes only. No such information provided by it constitutes advice or a recommendation for any investment or trading strategy for any specific person. There is no guarantee presented or implied as to the accuracy of specific forecasts, projections, or predictive statements offered by the script. Users of the script agree that its original developer does not take responsibility for any of your investment decisions. Please seek professional advice before trading.
***
# Here are the results from the 1rst of July 2021 with 100% of equity on the BTC /EUR 15 Min and with a capital of 1 000 EUR.
# As I saw, it goes from +20% to more than +100% depending on the selected crypto. Sometimes it's negative but it's quite rare on crypto using the EUR.
Cava Signals Backtesting/VisualizerPLEASE READ THE DESCRIPTION CAREFULLY
Trying this again, as it seems I keep violating the rules unintentionally. Moderator, please forgive me as I try to make this right.
This backtesting/visualizer script was created for me to get a visual idea of the Cava Signals indicator throughout its development time and continuous optimization.
This script is to be used on the 30-minute timeframe on supported markets, and whether I can only publish strategies on regular candles, the indicator is meant to trigger on heikin ashi candles.I understand backtesting on non-regular candles produces unrealistic results, but I emphasize that this script is more for visualization purposes rather than accurate $ amounts from the trades. The signals are used along with a dedicated bot configuration, so part of the strategy is not managed by the script, but by the bot's config.
Some behind the scenes on what we are looking at:
a combination of ema and sma crosses on different time frames (5m, 15m, 30m, 60m and 90m) - we call this the wave trend
a combination of stochastic rsi on different time frames (10m, 30m)
a combination of schaff trend cycles on different time frames (5m, 20m and 30m)
a combination of money flow index on different time frames (10m and 30m)
volume information for each supported market/pair
and a couple of other info particular to each pair
With the above combination of data points, we try to optimize our strategy for an entry, for dca'ing down in case the coin goes down as well as dca'ing up to maximize profit when a coin is going up, take profit levels when we recognize a good time to do so, and of course, a closing level. I would like to emphasize the *visualization* purpose of this script in recognizing lows, highs, and market structure to identify the important levels to signal - this script is NOT to be used for accurate backtesting, but for an idea of the overall performance of when signals are triggered.
Let me try to explain the workflow and icons you see on the chart:
The colored circles on the bottom of the chart are all buy signals; each color corresponds to a particular buy signal, we have a combination of 9 possible situations that would trigger a buy signal. Some would trigger a buy signal only in combination with other buy signals or other indicators within the script. we also display a green upwards arrow below bars when a buy signal is triggered.
The colored arrows pointing down on the top of the chart are close signals. We have a combination of 5 closing criteria each color corresponds to one, just like the buy signals do. We only close a trade in profit. If not in profit, we will look to DCA down.
DCA signals are shown by the green flag above bars. they are signals to DCA up or down depending on the trade being negative or positive. DCA'ing up or down is also managed by the bot's configuration for limits on when to accept the signal.
Take Profit levels are shown by the green diamond above bars and work in conjunction with the bot's config on when to take the signal if at all and other take profit levels. Usually, when we hit the first take profit level we move our stop loss to entry via the bot's take profit safety feature. You can see this call with the close entry named TPS .
The black bars you may see on the chart is to illustrate when the market is extended based on a particular strategy. During this period we will not trigger a buy signal unless there is a huge spike in positive volume .
The green number below the bars is the total positive delta volume on the buy candles.
On the table on the right upper corner, we show some information on the market and performance of the backtesting - for visualization purposes only!
Currently, the script is tailored to work with the following markets/pairs:
Binance Spot: ADA, ALGO, ATOM, AVAX, BNB, BTC , DOT, ETH, LINK, LUNA, MATIC, SOL, VET, XRP, XTZ
Binance Futures: BTC , ETH, ADA, ALGO, ATOM, BNB, COMP, DOT, ENJ , LINK, OCEAN, OMG, SOL, VET, XMR, XRP, XTZ, AVAX, AAVE, DOGE, LTC, LUNA, MKR , NEAR, ONT, RUNE, SUSHI, LTC, XLM , COMP, ONT, THETA, FTM , EGLD , WAVES, ONE, HTN , CHZ , HOT, MANA, CRV , RVN, BAT, ANKR, 1INCH, ALICE, ATA , AXS , CHR , COTI, NKN , RAY, REN, SRM , SXP , TLM
ByBit Inverse Perpetual: BTCUSD , ETHUSD
ByBit Futures: AAVE, ADA, ALGO, AVAX, AXS , BNB, BTC , DOT, ETH, LINK, LTC, MATIC, SOL, SUSHI, UNI , XEM, XRP, XTZ
The chosen pairs are subject to change based on the best-performing assets we are constantly analyzing.
I hope this helps to understand the script, its purpose and ideas. I hope this satisfies the community rules - it was not my intention to break them - if there's anything on the above or the script that still violates the guidelines, please let me know and accept my apologies in advance.
If anyone would like to know more, let me know in the comment section.
Thank you!
MACD + CMF + EMA + Supertrend by TradeSmartHello everyone and welcome to our first script release!
This script is one of many upcoming scripts. This one is a test for us, how it works, how you guys like this kind of stuff, and for feedback what we should change/improve at.
SCRIPT IS OPTIMIZED FOR:
EUR/USD 30 MINUTE TIMEFRAME
Video of the Strategy:
Search for “MACD + CMF + 200 EMA + Supertrend Trading Strategy Tested 100 Times with Great Results!” on our channel.
In this video you can find the exact strategy we programmed, just one added feature: Supertrend trailing stop loss. (position gets closed once the price hits the Supertrend indicator)
Now you can modify the following:
MACD settings
Supertrend settings
EMA settings
CMF settings
We will update the script with more and more features.
The first update will be:
Modifiable risk to reward ratio.
I will make a video of how to use this indicator next week, explaining all the features and more!
Hope you like it! Don't forget to let us know what we should change or improve. Thanks, and have a great day!
STRATEGY ENTRY RULES
LONG
When CMF is above 0 and price is under EMA. Also MACD has made a double cross above the zero line (meaning one cross down and one cross up by the MACD line). Then go long!
Note:
MACD or Signal must return under 0 in order to start a new position
If either of the MACD lines touches the 0 line before entry, we skip the trade and wait for the next signal.
SHORT
When CMF is under 0 and price is under EMA. Also MACD has made a double cross under the zero line (meaning one cross up and one cross down by the MACD line). Then go short!
Note:
MACD or Signal must return under 0 in order to start a new position.
If either of the MACD lines touches the 0 line before entry, we skip the trade and wait for the next signal.
TAKE PROFIT
When price hits the exit price (calculated from stop loss with the risk ratio), then exit with 50% of the position. The other 50% will stay open until the price hits the supertrend or the base stop loss.
STOP LOSS
When price hits stop loss then exit the position. Stop loss is calculated from the Supertrend and it is a trailing one, meaning it changes based on the movement of the price.
QUANTITY TO BUY
The quantity to buy is based on the Risk Per Trade % attribute. This means that we can set how much money we want to risk on one trade. Meaning that if we lose that particular position, then a Risk Per Trade % value of our equity will be lost.
Example: if you set the Risk Per Trade % to 1 % and you have a 100$ account balance, then if you loose the trade you will loose 1$ max.
Moving Stop-Loss mechanism + alerts to MT4/MT5"How to code moving stop-loss mechanism", is one of the most often repeating questions in private messages I receive, so just to focus on this mechanism, I made a spin-off from my previous script: TradingView-Alerts-to-MT4-MT5-dynamic-variables-NON-REPAINTING .
The logic here moves the stop-loss each time a trade is running and a new pivot high/low is detected. When such event occurs (UpdateLongStopLoss or UpdateShortStopLoss), stoploss_long or stoploss_short mutable variable is modified. And it needs to be coded inside strategy.exit() line as "stop=stoploss_long" or "stop=stoploss_short". Entries are pretty straightforward - on Stoch crosses.
Last lines of the script show how to wrap information about such updates and send send alerts to MetaTrader via TradingConnector for execution in Forex/indices/commodities/crypto markets via MetaTrader. Please note that "tradeid=" variable must be passed with each alert, to let MetaTrader know which trade to modify. SLMOD, TPMOD are recently added commands, along with BE (as in "move stop-loss to breakeven" - but that's another topic).
Please disregard strategy backtest results, as this script is for coding education purposes only. However, it seems with the stop-loss mechanism enabled, the results are even better, than in original version of the script :)
ELLIPSE: Bidirectional Swing Trading Strategy (Strategy Version)The eternal question that has occupied humanity since its early existence is what is the meaning of life and why am I here? On a daily basis this quest for meaning is distilled into a somewhat simpler question: What is the reason for getting up every morning?
For many of us, these thoughts arise even more as autumn arrives and it gets dark, bleak and cold outside. I guess it is easier to forget about the meaning of your life, while swimming on a sandy beach, enjoying a cocktail. Than you are living you life and you don’t need to rationalize it. Everything makes perfect sense!
In winter however, you need to get more “creative”. I, for example, would always try to change my perspective of things by doing something that makes my heart beat faster, like drinking a bottle of Heineken on a Friday evening or having endless conversations with my mates about stupid things, or kicking a ball against BALLONTHEROOF 7 on a Saturday morning. During the week, I would take out my frustrations on the fitness equipment at the local gym.
But what if all of this is canceled by CORONA? All that’s left is to work for the boss and run your 10km lap twice a week. The question is, what do you do now, with this huge amount of ”free” time than any old person would give anything for. When you are young time is never ending, when you are older it is never enough. Time has reached a different dimension in these days.
However, you can still do 2 things. You can slowly let the walls come to you and give up or you can actually do something useful with your time and find something that you are good at.
For us this choice was easy. After the success of our positioning trading strategy the MATRIX, at the time of the corona lockdown, we started making a swing trading strategy for the 4H timeframe, called ELLIPSE. We have included all feedback and any improvements we received about the positioning strategy and integrated it into the 4H script.
The main requirements of the script that we had set ourselves were:
Bidirectional
Low max drawdown
High profit factor
Works on all main crypto coins
By fully focusing ourselves on the script over the past few months, I can’t help but (unhumbly) say that we have not only succeeded in our mission, but that we have absolutely surpassed ourselves!
The only bright spot in this heavy corona time is, if a drug becomes available, there is extra money in the bank!
***The script is invite-only, message us to get script access***
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User Guidelines:
The trading strategy was designed and optimized for trading cryptocurrencies only; furthermore it works best on established cryptocurrencies that have a clear historical trend such as:
BTCUSD
ETHUSD
LTCUSD
XRPUSD
ADAUSD
The trading strategy is based on swing trading methodology. The script must therefore be used on 4h candles only .
Use USD trading pairs only (e.g. use ETHUSD instead of the ETHBTC) since the individual trend is captured more effectively and therefore gives better results.
The trading strategy is bidirectional , both long and short entries are generated.
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Indicators used in this strategy:
Ichimoku Cloud ; acts as the leading indicator.
Volume ; without strong volume , a market move is not valid.
MACD and Vortex ; both being used as confirmation indicators.
Choppiness index ; avoids trading in choppy markets.
Simple and Exponential Moving Averages ; prevents trading against the trend.
The trading strategy is easy to use, bidirectional, trend based and without repainting, meaning once a signal has been made it is permanent and that no future data is used in the decision making. It detects the trend and filters out market noise based on more than 10 technical indicators. ONLY when all indicators align with each other the algorithm prints a LONG or SHORT signal. The trading strategy provides high probability trading signals and minimizes risk! This script aims to capture the profit from short to medium trending moves and by doing so filters out non-substantial trends and avoids the associated risks with these trades.
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Features:
NO Repaint once candle is closed.
Stop loss feature ; set your own stop loss to manage your risks.
Customizable Display for the Ichimoku cloud indicator display.
Bidirectional ; both long and short trading positions can be enabled.
Full backtest feature ; Easily generate your own backtest results for each asset (Strategy Version Script).
Alerts ; Get notified via email / pop-up / sms / app once a signal is given! (Alert Version Script).
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Backtest results
Below are the back test results. Only well established cryptocurrencies are displayed with a clear historical trend:
Long and short trading positions,
Signal to signal trading (no multiple orders),
Initial Capital: 10 000 USD,
Order size: 10% of equity per trade,
commission fee 0.1%, period: start of chart,
Exchange-----Asset------Timeframe---Percent Profitable----Profit Factor---Total Trades----Max Drawdown----------Net Profit------
Bínance------BTCUSDT------4H-----------------54.4---------------5.32-----------------57----------------1.58%------------40.34%-(4034 USD)
Bínance------ETHUSD-------4H-----------------50.9---------------5.01---------------- 57----------------2.96%------------54.93%-(5493 USD)
Bínance------LTCUSD--------4H-----------------61.0---------------5.08-----------------59----------------2.09%------------57.06%-(5706 USD)
Bínance------XRPUSD-------4H-----------------43.13--------------3.52-----------------51----------------2.42%------------43.13%-(4313 USD)
Bínance------ADAUSD-------4H-----------------57.5---------------3.36-----------------47----------------3.46%------------40.82%-(4082 USD)
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Reminder: Use this trading strategy at your own risk and trade responsibly. We are not responsible for any financial loss using this strategy.
***The script is invite-only, message us to get script access***
Automated - Fibs with Limit only ordersAutomated - Fibs with Limit only orders
This script was designed to demonstrate how you can use a single alert to move your limit orders around.
It is not meant to be traded live and has been built to work with Binance Futures Testnet.
You will notice a lot of plots with 5 different titles.
New = Place your limit buy at a fixed-price.
Move = Cancel the current limit buy and place it at the new fixed-price.
Filled = Cancel any limit closes and places them anew based on the new average and take profit.
Cancel = Cancels exisiting limit buys.
Cloes All = Limit close filled, no commands necessary.
The default quantity in the command is the minimum order size on Binance.
Settings
Live
- If enabled it will only place trades after the "Stat Timestamp + Start Delay" that you provide.
Start Timestamp
- Use something similar to epochconverter to get the current timestamp.
Start Delay
- Gives you 1 minute by default to start the script and create your alert before it begins looking for a new entry.
Leverage
- Default 1. Affects the "Take Profit and DCA When" Settings.
Take Profit %
- This is the percentage above the current average you'd like to place your position close at.
DCA When %
- The percentage below your last entry that you're willing to buy again.
Note: This strategy has no stop-loss and pyramiding is enabled. It is not built for, or recommended to run live.
I hope this opens some doors and helps advance your personal trading system.
Good luck and happy scripting!
