3Commas Multicoin Scalper PRO [SwissAlgo]Introduction
Are you tired of tracking dozens of cryptocurrency charts and placing orders manually on your Exchange?
The 3Commas Multicoin Scalper PRO is an automated trading system designed to simultaneously identify and execute potential trading setups on multiple cryptocurrencies on your preferred Exchange (Binance, Bybit, OKX, Gate.io, Bitget) via 3Commas integration.
It analyzes price action, volume, momentum, volatility, and trend patterns across 180+ USDT Perpetual coins divided into 17 crypto categories , providing real-time signals directly to your 3Commas bots for automated trade execution. This indicator aims to identify potential trend-following and contrarian setups in both bull and bear markets.
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What it Does
The 3Commas Multicoin Scalper PRO is a technical analysis tool that monitors multiple cryptocurrency pairs simultaneously and connects with 3Commas for signal delivery and execution.
Here's how the strategy works:
🔶 Technical Analysis : Analyzes price action, volume, momentum, volatility, and trend patterns across multiple USDT Perpetual Futures contracts simultaneously.
🔶 Pattern Detection : Identifies specific candle patterns and technical confluences that suggest potential trading setups across all USDT.P contracts of the selected categories
🔶 Signal Generation : When technical criteria are met at bar close, the indicator creates deal-start signals for the relevant pairs.
🔶 3Commas Integration : Packages these signals and delivers them to 3Commas through TradingView alerts, allowing 3Commas bots to receive specific pair information ('Deal-Start' signals).
🔶 Category Management : Each TradingView alert monitors an entire category (approximately 11 pairs), allowing selective activation of different crypto categories.
🔶 Visual Feedback : Provides color-coded candles and backgrounds to visualize technical conditions, with optional pivot points and trend visualization.
Candle types:
Signals:
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Quick Start Guide
1. Setup 3Commas Bots : Configure two DCA bots in 3Commas (All USDT pairs) - one for LONG positions and one for SHORT positions.
2. Define Trading Parameters : Set your budget for each trade and adjust your preferred sensitivity within the indicator settings.
3. Create Category Alerts : Set up one TradingView alert for each crypto category you want to trade.
That's it! Once configured, the system automatically sends signals to your 3Commas bots when predefined trading setups are detected across coins in your selected/activated categories. The indicator scans all coins at bar close (for example, every hour on the 1H timeframe) and triggers trade execution only for those showing technical confluences.
Important : The more categories you activate by setting TradingView alerts, the more signals your 3Commas bots will receive. Consider your total capital when enabling multiple categories. More details about the setup process are provided below (see paragraph "Detailed Setup & Configuration")
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Built-in Backtesting
The 3Commas Multicoin Scalper PRO includes backtesting visualization for each coin. When viewing any USDT Perpetual pair on your chart, you can visualize how the strategy would have performed historically on that specific asset.
Color-coded candles and signal markers show past trading setups, helping you evaluate which coins responded best to the strategy. This built-in backtesting capability can support your selection of assets/categories to trade before deploying real capital.
As backtesting results are hypothetical and do not guarantee future performance, your research and analysis are essential for selecting the crypto categories/coins to trade.
The default strategy settings are: Start Capital 1.000$, leverage 25X, Commissions 0.1% (average Taker Fee on Exchanges for average users), Order Amount 200$ for Longs/150$ for Shorts, Slippage 4
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Key Features
🔶 Multi-Exchange Support : Compatible with BINANCE, BYBIT, BITGET, GATEIO, and OKX USDT Perpetual markets (USDT.P)
🔶 Wide Asset Coverage : Simultaneously analyzes 180+ cryptocurrencies across 17 specialized crypto categories
🔶 Custom Category Option : Create your watchlist with up to 10 custom USDT Perpetual pairs
🔶 3Commas Integration : Seamlessly connects with 3Commas bots to automate trade entries and exits
🔶 Dual Strategy Approach : Identifies both "trend following" and "contrarian" potential setups
🔶 Confluence-Based Signals : Uses a combination of multiple technical factors - price spikes, price momentum, volume spikes, volume momentum, trend analysis, and volatility spikes - to generate potential trading setups
🔶 Risk Management : Adjustable sensitivity/risk levels, leverage settings, and budget allocation for each trade
🔶 Visual Indicators : Color-coded candles and trading signals provide visual feedback on market conditions
🔶 Trend Indication : Background colors showing ongoing uptrends/downtrends
🔶 Pivot Points & Daily Open : Optional display of pivot points and daily open price for additional context
🔶 Liquidity Analysis : Optional display of high/low liquidity timeframes throughout the trading week
🔶 Trade Control : Configurable limit for the maximum number of signals sent to 3Commas for execution (per bar close and category)
Available Exchanges
Categories
Custom Category
Trend following/contrarian signals
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Methodology
The 3Commas Multicoin Scalper PRO utilizes a multi-faceted approach to identify potential trading setups:
1. Price Action Analysis : Detects abnormal price movements by comparing the current candle's range to historical averages and standard deviations, helping identify potential "pump and dump" scenarios or new-trends start
2. Price Momentum : Evaluates the relative strength of bullish vs. bearish price movements over time, indicating the build-up of buying or selling pressure.
3. Volume Analysis: Identifies unusual volume spikes by comparing current volume to historical averages, signaling strong market interest in a particular direction.
4. Volume Momentum : Measures the ratio of bullish to bearish volume, revealing the dominance of buyers or sellers over time.
5. Trend Analysis : Combines EMA slopes, RSI, and Stochastic RSI to determine overall trend direction and strength.
6. Volatility : Monitors the ATR (Average True Range) to detect periods of increased market volatility, which may indicate potential breakouts or reversals
7. Candle Wick Analysis : Evaluates upper and lower wick percentages to detect potential rejection patterns and reversals.
8. Pivot Point Analysis : Uses pivot points (PP, R1-R3, S1-S3) for identifying key support/resistance areas and potential breakout/breakdown levels.
9. Daily Open Reference: Analyzes price action relative to the daily open for potential setups related to price movement vs. the opening price
10. Market Timing/Liquidity : Evaluates high/low liquidity periods, specific days/times of heightened risk, and potential market manipulation timeframes.
11. Boost Factors : Applies additional weight to certain confluence patterns to adjust global scores
These factors are combined into a "Global Score" ranging from -1 to +1 , applied at bar close to the newly formed candles.
Scores above predefined thresholds (configurable via the Sensitivity Settings) indicate strong bullish or bearish conditions and trigger signals based on predefined patterns. The indicator then applies additional filters to generate specific "Trend Following" and "Contrarian" trading signals. The identified signals are packaged and sent to 3Commas for execution.
Pivot Points
Daily open
Market Trend
Liquidity patterns by weekday
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Who This Strategy Is For?
The 3Commas Multicoin Scalper PRO may benefit:
Crypto Traders seeking to automate their trading across multiple coins simultaneously
3Commas Users looking to enhance their bot performance with advanced technical signals
Busy Traders who want to monitor many market opportunities without constant chart-watching
Multi-strategy traders interested in both trend-following and reversal trading approaches
Traders of Various Experience Levels from intermediate traders wanting to save time to advanced traders seeking to scale their operations
Perpetual Futures Traders on major exchanges (Binance, Bybit, OKX, Gate.io, Bitget)
Swing and Scalp Traders seeking to identify short to medium-term profit opportunities
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Visual Indicators
The indicator provides visual feedback through:
1. Candlestick Colors :
* Lime: Strong bullish candle (High positive score)
* Blue: Moderate bullish candle (Medium positive score)
* Red: Strong bearish candle (High negative score)
* Purple: Moderate bearish candle (Medium negative score)
* Pale Green/Red: Mild bullish/bearish candle
2. Signal Markers :
* ↗: Trend Following Long signal
* ↘: Trend Following Short signal
* ⤴: Contrarian Long signal
* ⤵: Contrarian Short signal
3. Optional Elements :
* Pivot Points: Daily support/resistance levels (R1-R3, S1-S3, PP)
* Daily Open: Reference price level for the current trading day
* Trend Background: Color-coded background suggesting potential ongoing uptrend/downtrend
* Liquidity Highlighting: Background colors indicating typical high/low market liquidity periods
4. TradingView Strategy Plots and Backtesting Data : Standard performance metrics showing entry/exit points, equity curves, and trade statistics, based on the signals generated by the script.
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Detailed Setup & Configuration
The indicator features a user-friendly input panel organized in sequential steps to guide you through the complete setup process. Tooltips for each step provide additional information to help you understand the actions required to get the strategy running.
Informative tables provide additional details and instructions for critical setup steps such as 3Commas bot configuration and TradingView alert creation (to activate trading on specific categories).
1. Choose Exchange, Crypto Category & Sensitivity
* Select your USDT Perpetual Exchange (BINANCE, BYBIT, BITGET, GATEIO, or OKX) - i.e. the same Exchange connected in your 3Commas account
* Browse and choose your preferred crypto category, or define your watchlist
* Choose from three sensitivity levels: Default, Aggressive, or Test Mode (test mode is designed to generate way more signals, a potentially helpful feature when you are testing the indicator and alerts)
2. Setup 3Commas Bots and integrate them with the algo
* Create both LONG and SHORT DCA Bots in 3Commas
* Configure bots to accept signals for 'All USDT Pairs' with "TradingView Custom Signal" as deal start condition
* Enter your Bot IDs and Email Token in the indicator settings
* Set a maximum budget for LONG and SHORT trades
* Choose whether to allow LONG trades, SHORT trades, or both, according to your preference and market analysis
* Set maximum trades per bar/category (i.e. the max. number of simultaneous signals that the algo may send to your 3Commas bots for execution at every bar close - every hour if you set the 1H timeframe)
* Access the detailed setup guide table for step-by-step 3Commas configuration instructions
3Commas integration
3. Choose Visuals
* Toggle various optional visual elements to add to the chart: category metrics, fired alerts, coin metrics, daily open, pivot points
* Select a color theme: Dark or Light
4. Activate Trading via Alerts
* Create TradingView alerts for each category you want to trade
* Set alert condition to "3Commas Multicoin Scalper" with "Any alert() function call"
* Set the content of the message filed to: {{Message}}, deleting the default content shown in this text field, to enable proper 3Commas integration (any other text than {{Message}}, would break the delivery trading signals from Tradingview to 3Commas)
* View the alerts setup instruction table for visual guidance on this critical step
Alerts
Fired Alerts
Important Configuration Notes
Ensure that the TradingView chart's exchange matches your selected exchange in the indicator settings and your 3Commas bot settings.
You must configure the same leverage in both the script and your 3Commas bots
Your 3Commas bots must be configured for All USDT pairs
You must enter the exact Bot IDs and Email Token from 3Commas (these remain confidential - no one, including us, has access to them)
If you activate multiple categories without sufficient capital, 3Commas will display " insufficient funds " errors - align your available capital with the number of categories you activate (each deal will use the budget amount specified in user inputs)
You are free to set your Take Profit % / trailing on 3Commas
We recommend not to use DCA orders (i.e. set the number of DCA orders at zero)
Legend of symbols
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FAQs
General Questions
❓ Q: What is Global Score? A: The Global Score serves as a foundation for signal generation. When a candle's score exceeds certain thresholds (defined by your Risk Level setting), it becomes a candidate for signal generation. However, not all high-scoring candles generate trading signals - the indicator applies additional pattern recognition and contextual filters. For example, a strongly positive score (lime candle) in an established uptrend may trigger a "Trend Following" signal, while a strongly negative score (red candle) in a downtrend might generate a "Trend Following Short" signal. Similarly, contrarian signals are generated when specific reversal patterns occur alongside appropriate Global Score values, often involving wick analysis and pivot point interactions. This multi-layer approach helps filter out false positives and identify higher-probability trading setups.
❓ Q: What's the difference between "Trend following" and "Contrarian" signals in the script? A: "Trend Following" signals follow the identified trends while "Contrarian" signals anticipate potential trend reversals.
❓ Q: Why can't I configure all the parameters? A: We've designed the solution to be plug-and-play to prevent users from getting lost in endless configurations. The preset values have been tested against their trade-offs in terms of financial performance, average trade duration, and risk levels.
❓ Q: Why don't I see any signals on my chart? A: Make sure you're viewing a USDT Perpetual pair from your selected exchange that belongs to the crypto category you've chosen to analyze. For example, if you've selected the "Top Major Coins" category with Binance as your exchange, you need to view a chart of one of those specific pairs (like BINANCE:BTCUSDT.P) to see signals. If you switch exchanges, for example from Binance to Bybit, you need to pull a Bybit pair on the chart to see backtesting data and signals.
❓ Q: Does this indicator guarantee profits? A: No. Trading cryptocurrencies involves significant risk, and past performance is not indicative of future results. This indicator is a tool to help you identify potential trading setups, but it does not and cannot guarantee profits.
❓ Q: Does this indicator repaint or use lookahead bias? A: No. All trading signals generated by this indicator are based only on completed price data and do not repaint. The system is designed to ensure that backtesting results reflect as closely as possible what you should experience in live trading.
While reference levels like pivot points are kept stable throughout the day using lookahead on, the actual buy and sell signals are calculated using only historical data (lookahead off) that would have been available at that moment in time. This ensures reliability and consistency between backtesting and real-time trading performance.
Technical Setup
❓ Q: What exchanges are supported? A: The strategy supports BINANCE, BYBIT, BITGET, GATEIO, and OKX USDT Perpetual markets (i.e. all the Exchanges you can connect to your 3Commas account for USDT Perpetual trading, excluding Coinbase Perpetual that offers UDSC pairs, instead of USDT).
❓ Q: What timeframe should I use? A: The indicator is optimized for the 1-hour (1H) timeframe but may run on any timeframe.
❓ Q: How many coins can I trade at once? A: You can trade all coins within each selected category (up to 11 coins per category in standard categories). You can activate multiple categories by setting up multiple alerts.
❓ Q: How many alerts do I need to set up? A: You need to set up one alert for each crypto category you want to trade. For example, if you want to trade both the "Top Major Coins" and the "DeFi" categories, you'll need to create two separate alerts, one for each category. We recommend starting with one category, testing the results carefully, monitoring performance daily, and perhaps activating additional categories in a second stage.
❓ Q: Are there any specific risk management features built into the indicator? A: Yes, the indicator includes risk management features: adjustable maximum trades per hour/category, the ability to enable/disable long or short signals depending on market conditions, customizable trade size for both long and short positions, and different sensitivity/risk level settings.
❓ Q: What happens if 3Commas can't execute a signal? A: If 3Commas cannot execute a signal (due to insufficient funds, bot offline, etc.), the trade will be skipped. The indicator will continue sending signals for other valid setups, but it doesn't retry failed signals.
❓ Q: Can I run this indicator on multiple charts at once? A: Yes, but it's not necessary. The indicator analyzes all coins in your selected categories regardless of which chart you apply it to. For optimal resource usage, apply it to a single chart of a USDT Perpetual pair from your selected exchange. To stop trading a category delete the alert created for that category.
❓ Q: How frequently does the indicator scan for new signals? A: The indicator scans all coins in your selected categories at the close of each bar (every hour if you selected the 1H timeframe).
3Commas Integration
❓ Q: Do I need a 3Commas account? A: Yes, a 3Commas account with active DCA bots (both LONG and SHORT) is required for automated trade execution. A paid subscription is needed, as multipair Bots and multiple simultaneous deals are involved.
❓ Q: How do I set the leverage? A: Set the leverage identically in both the indicator settings and your 3Commas DCA bots (the max supported leverage is 50x). Always be careful about leverage, as it amplifies both profits and losses.
❓ Q: Where do I find my 3Commas Bot IDs and Email Token? A: Open your 3Commas DCA bot and scroll to the "Messages" section. You'll find the Bot ID and Email Token within any message (e.g., "Start Deal").
Display Settings
❓ Q: What does the Sensitivity setting do? A: It adjusts the sensitivity of signal generation. "Default" provides a balanced approach with moderate signal frequency. "Aggressive" lowers the thresholds for signal generation, potentially increasing trade frequency but may include more noise. "Test Mode" is the most sensitive setting, useful for testing alert configurations but not recommended for live trading. Higher risk levels may generate more signals but with potentially lower average quality, while lower risk levels produce fewer but potentially better signals.
❓ Q: What does "Show fired alerts" do? A: The "Show fired alerts" option displays a label on your chart showing which signals have been fired and sent to 3Commas during the most recent candle closes. This visual indicator helps you confirm that your alerts are working properly and shows which coins from your selected category have triggered signals. It's useful when setting up and testing the system, allowing you to verify that signals are being sent to 3Commas as expected and their frequency over time.
❓ Q: What does "Show coin/token metrics" do? A: This toggle displays detailed technical metrics for the specific coin/token currently shown on your chart. When enabled, it shows statistics for the last closed candle for that coin.
❓ Q: What does "Show most liquid days/times" do? A: This toggle displays color-coded background highlighting to indicate periods of varying market liquidity throughout the trading week. Green backgrounds show generally higher liquidity periods (typically weekday trading hours), yellow highlights potentially manipulative periods (often Sunday/Monday overnight), and gray indicates low liquidity periods (when major markets are closed or during late hours).
⚠️ Disclaimer
This indicator is for informational and educational purposes only and does not constitute financial advice. Trading cryptocurrencies involves significant risk, including the potential loss of all invested capital, and past performance is not indicative of future results.
Always conduct your own thorough research (DYOR) and understand the risks involved before making any trading decisions. Trading with leverage significantly amplifies both potential profits and losses - exercise extreme caution when using leverage and never risk more than you can afford to lose.
The Bot ID and Email Token information are transmitted directly from TradingView to 3Commas via secure connections. No third party or entity will ever have access to this data (including the Author). Do not share your 3Commas credentials with anyone.
This indicator is not affiliated with, endorsed by, or sponsored by TradingView or 3Commas.
Cerca negli script per "algo"
Destroyer LifeDestroyer Life Strategy - High-Frequency Long & Short Trading
Overview:
The Destroyer Life strategy is an advanced cryptocurrency trading algorithm designed for high-frequency execution on the 15-second timeframe. It combines CRT (Candle Range Trend) and Turtle Soup trading logic with multi-timeframe analysis to optimize entries and exits for both long and short trades. This strategy is specifically optimized for high-volatility crypto pairs, such as SOL/USD on MEXC, ensuring precise execution with minimal drawdown.
Key Features:
15-Second Timeframe Execution: Optimized for ultra-short-term trading.
Long & Short Strategy: Simultaneously identifies profitable buy and sell opportunities.
CRT & Turtle Soup Logic: Leverages price action patterns for enhanced trade accuracy.
Higher Timeframe Analysis (HTF): Incorporates liquidity zones, fair value gaps (FVG), and breaker blocks for context-aware trading.
Dynamic Position Sizing: Uses an adjustable leverage multiplier for risk-controlled trade sizing.
Commission Optimization: Ensures profitability even with trading fees.
Strict Risk Management: Implements exit conditions based on liquidity structure and trend reversals.
Strategy Performance (Backtested on SOL/USD - MEXC):
Overall Profitability: ~80% win rate in backtesting.
Net Profit: $3,151.12 (6.30% ROI).
Gross Profit: $3,795.68 (7.59%).
Gross Loss: $644.56 (1.29%).
Long Trades Profit: $1,459.05 (2.92%).
Short Trades Profit: $1,692.07 (3.38%).
Commission Paid: $924.82.
Minimum Trade Holding Period: 1-minute cooldown between trades.
Trading Logic:
Entry Conditions:
Long Trades: Triggered when the price enters a liquidity void and aligns with higher timeframe bullish bias.
Short Trades: Triggered when price approaches a resistance level with bearish higher timeframe confluence.
CRT & Turtle Soup Patterns: Identifies reversals by analyzing breakout and fake-out structures.
Exit Conditions:
Long Positions Close: Upon price exceeding a 3.88% profit threshold or reversing below an HTF structure.
Short Positions Close: Upon reaching a similar 3.88% threshold or showing strong bullish signals.
Dynamic Position Sizing:
Uses a leverage-based calculation that adapts trade size based on volatility.
Liquidity Awareness:
Tracks Mitigation Blocks (MB), Fair Value Gaps (FVG), Buy/Sell-Side Liquidity (BSL/SSL) to determine optimal execution.
Best Use Cases:
Scalpers & High-Frequency Traders: Those looking for rapid trade execution with short holding periods.
Crypto Traders Focused on Low Timeframes: Optimized for 15-second price action.
Traders Utilizing Liquidity Concepts: Built to exploit liquidity traps and inefficiencies.
Risks & Considerations:
High-Frequency Execution Requires Low Latency: Ensure your broker or exchange supports fast order execution.
Backtested Results May Vary: Real-time performance depends on market conditions.
Commission & Fees Impact Profits: Consider exchanges with low fees to maximize strategy efficiency.
Final Thoughts:
The Destroyer Life Strategy is designed for serious traders looking to take advantage of high-volatility markets with a structured, liquidity-based approach. By combining price action, liquidity concepts, and adaptive risk management, it provides a solid framework for executing high-probability trades on crypto markets.
🚀 Ready to take your trading to the next level? Try Destroyer Life today and dominate the markets!
AlgoBuilder [Mean-Reversion] | FractalystWhat's the strategy's purpose and functionality?
This strategy is designed for both traders and investors looking to rely and trade based on historical and backtested data using automation.
The main goal is to build profitable mean-reversion strategies that outperform the underlying asset in terms of returns while minimizing drawdown.
For example, as for a benchmark, if the S&P 500 (SPX) has achieved an estimated 10% annual return with a maximum drawdown of -57% over the past 20 years, using this strategy with different entry and exit techniques, users can potentially seek ways to achieve a higher Compound Annual Growth Rate (CAGR) while maintaining a lower maximum drawdown.
Although the strategy can be applied to all markets and timeframes, it is most effective on stocks, indices, future markets, cryptocurrencies, and commodities and JPY currency pairs given their trending behaviors.
In trending market conditions, the strategy employs a combination of moving averages and diverse entry models to identify and capitalize on upward market movements. It integrates market structure-based moving averages and bands mechanisms across different timeframes and provides exit techniques, including percentage-based and risk-reward (RR) based take profit levels.
Additionally, the strategy has also a feature that includes a built-in probability function for traders who want to implement probabilities right into their trading strategies.
Performance summary, weekly, and monthly tables enable quick visualization of performance metrics like net profit, maximum drawdown, profit factor, average trade, average risk-reward ratio (RR), and more.
This aids optimization to meet specific goals and risk tolerance levels effectively.
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How does the strategy perform for both investors and traders?
The strategy has two main modes, tailored for different market participants: Traders and Investors.
Trading:
1. Trading:
- Designed for traders looking to capitalize on bullish trending markets.
- Utilizes a percentage risk per trade to manage risk and optimize returns.
- Suitable for active trading with a focus on mean-reversion and risk per trade approach.
◓: Mode | %: Risk percentage per trade
3. Investing:
- Geared towards investors who aim to capitalize on bullish trending markets without using leverage while mitigating the asset's maximum drawdown.
- Utilizes pre-define percentage of the equity to buy, hold, and manage the asset.
- Focuses on long-term growth and capital appreciation by fully investing in the asset during bullish conditions.
- ◓: Mode | %: Risk not applied (In investing mode, the strategy uses 10% of equity to buy the asset)
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What's is FRMA? How does the triple bands work? What are the underlying calculations?
Middle Band (FRMA):
The middle band is the core of the FRMA system. It represents the Fractalyst Moving Average, calculated by identifying the most recent external swing highs and lows in the market structure.
By determining these external swing pivot points, which act as significant highs and lows within the market range, the FRMA provides a unique moving average that adapts to market structure changes.
Upper Band:
The upper band shows the average price of the most recent external swing highs.
External swing highs are identified as the highest points between pivot points in the market structure.
This band helps traders identify potential overbought conditions when prices approach or exceed this upper band.
Lower Band:
The lower band shows the average price of the most recent external swing lows.
External swing lows are identified as the lowest points between pivot points in the market structure.
The script utilizes this band to identify potential oversold conditions, triggering entry signals as prices approach or drop below the lower band.
Adjustments Based on User Inputs:
Users can adjust how the upper and lower bands are calculated based on their preferences:
Upper/Lower: This method calculates the average bands using the prices of external swing highs and lows identified in the market.
Percentage Deviation from FRMA: Alternatively, users can opt to calculate the bands based on a percentage deviation from the middle FRMA. This approach provides flexibility to adjust the width of the bands relative to market conditions and volatility.
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What's the purpose of using moving averages in this strategy? What are the underlying calculations?
Using moving averages is a widely-used technique to trade with the trend.
The main purpose of using moving averages in this strategy is to filter out bearish price action and to only take trades when the price is trading ABOVE specified moving averages.
The script uses different types of moving averages with user-adjustable timeframes and periods/lengths, allowing traders to try out different variations to maximize strategy performance and minimize drawdowns.
By applying these calculations, the strategy effectively identifies bullish trends and avoids market conditions that are not conducive to profitable trades.
The MA filter allows traders to choose whether they want a specific moving average above or below another one as their entry condition.
This comparison filter can be turned on (>) or off.
For example, you can set the filter so that MA#1 > MA#2, meaning the first moving average must be above the second one before the script looks for entry conditions. This adds an extra layer of trend confirmation, ensuring that trades are only taken in more favorable market conditions.
⍺: MA Period | Σ: MA Timeframe
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What entry modes are used in this strategy? What are the underlying calculations?
The strategy by default uses two different techniques for the entry criteria with user-adjustable left and right bars: Breakout and Fractal.
1. Breakout Entries :
- The strategy looks for pivot high points with a default period of 3.
- It stores the most recent high level in a variable.
- When the price crosses above this most recent level, the strategy checks if all conditions are met and the bar is closed before taking the buy entry.
◧: Pivot high left bars period | ◨: Pivot high right bars period
2. Fractal Entries :
- The strategy looks for pivot low points with a default period of 3.
- When a pivot low is detected, the strategy checks if all conditions are met and the bar is closed before taking the buy entry.
◧: Pivot low left bars period | ◨: Pivot low right bars period
2. Hunt Entries :
- The strategy identifies a candle that wicks through the lower FRMA band.
- It waits for the next candle to close above the low of the wick candle.
- When this condition is met and the bar is closed, the strategy takes the buy entry.
By utilizing these entry modes, the strategy aims to capitalize on bullish price movements while ensuring that the necessary conditions are met to validate the entry points.
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What type of stop-loss identification method are used in this strategy? What are the underlying calculations?
Initial Stop-Loss:
1. ATR Based:
The Average True Range (ATR) is a method used in technical analysis to measure volatility. It is not used to indicate the direction of price but to measure volatility, especially volatility caused by price gaps or limit moves.
Calculation:
- To calculate the ATR, the True Range (TR) first needs to be identified. The TR takes into account the most current period high/low range as well as the previous period close.
The True Range is the largest of the following:
- Current Period High minus Current Period Low
- Absolute Value of Current Period High minus Previous Period Close
- Absolute Value of Current Period Low minus Previous Period Close
- The ATR is then calculated as the moving average of the TR over a specified period. (The default period is 14).
Example - ATR (14) * 2
⍺: ATR period | Σ: ATR Multiplier
2. ADR Based:
The Average Day Range (ADR) is an indicator that measures the volatility of an asset by showing the average movement of the price between the high and the low over the last several days.
Calculation:
- To calculate the ADR for a particular day:
- Calculate the average of the high prices over a specified number of days.
- Calculate the average of the low prices over the same number of days.
- Find the difference between these average values.
- The default period for calculating the ADR is 14 days. A shorter period may introduce more noise, while a longer period may be slower to react to new market movements.
Example - ADR (20) * 2
⍺: ADR period | Σ: ADR Multiplier
3. PL Based:
This method places the stop-loss at the low of the previous candle.
If the current entry is based on the hunt entry strategy, the stop-loss will be placed at the low of the candle that wicks through the lower FRMA band.
Example:
If the previous candle's low is 100, then the stop-loss will be set at 100.
This method ensures the stop-loss is placed just below the most recent significant low, providing a logical and immediate level for risk management.
Application in Strategy (ATR/ADR):
- The strategy calculates the current bar's ADR/ATR with a user-defined period.
- It then multiplies the ADR/ATR by a user-defined multiplier to determine the initial stop-loss level.
By using these methods, the strategy dynamically adjusts the initial stop-loss based on market volatility, helping to protect against adverse price movements while allowing for enough room for trades to develop.
Each market behaves differently across various timeframes, and it is essential to test different parameters and optimizations to find out which trailing stop-loss method gives you the desired results and performance.
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What type of break-even and take profit identification methods are used in this strategy? What are the underlying calculations?
For Break-Even:
Percentage (%) Based:
Moves the initial stop-loss to the entry price when the price reaches a certain percentage above the entry.
Calculation:
Break-even level = Entry Price * (1 + Percentage / 100)
Example:
If the entry price is $100 and the break-even percentage is 5%, the break-even level is $100 * 1.05 = $105.
Risk-to-Reward (RR) Based:
Moves the initial stop-loss to the entry price when the price reaches a certain RR ratio.
Calculation:
Break-even level = Entry Price + (Initial Risk * RR Ratio)
Example:
If the entry price is $100, the initial risk is $10, and the RR ratio is 2, the break-even level is $100 + ($10 * 2) = $120.
FRMA Based:
Moves the stop-loss to break-even when the price hits the FRMA level at which the entry was taken.
Calculation:
Break-even level = FRMA level at the entry
Example:
If the FRMA level at entry is $102, the break-even level is set to $102 when the price reaches $102.
For TP1 (Take Profit 1):
- You can choose to set a take profit level at which your position gets fully closed or 50% if the TP2 boolean is enabled.
- Similar to break-even, you can select either a percentage (%) or risk-to-reward (RR) based take profit level, allowing you to set your TP1 level as a percentage amount above the entry price or based on RR.
For TP2 (Take Profit 2):
- You can choose to set a take profit level at which your position gets fully closed.
- As with break-even and TP1, you can select either a percentage (%) or risk-to-reward (RR) based take profit level, allowing you to set your TP2 level as a percentage amount above the entry price or based on RR.
When Both Percentage (%) Based and RR Based Take Profit Levels Are Off:
The script will adjust the take profit level to the higher FRMA band set within user inputs.
Calculation:
Take profit level = Higher FRMA band length/timeframe specified by the user.
This ensures that when neither percentage-based nor risk-to-reward-based take profit methods are enabled, the strategy defaults to using the higher FRMA band as the take profit level, providing a consistent and structured approach to profit-taking.
For TP1 and TP2, it's specifying the price levels at which the position is partially or fully closed based on the chosen method (percentage or RR) above the entry price.
These calculations are crucial for managing risk and optimizing profitability in the strategy.
⍺: BE/TP type (%/RR) | Σ: how many RR/% above the current price
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What's the ADR filter? What does it do? What are the underlying calculations?
The Average Day Range (ADR) measures the volatility of an asset by showing the average movement of the price between the high and the low over the last several days.
The period of the ADR filter used in this strategy is tied to the same period you've used for your initial stop-loss.
Users can define the minimum ADR they want to be met before the script looks for entry conditions.
ADR Bias Filter:
- Compares the current bar ADR with the ADR (Defined by user):
- If the current ADR is higher, it indicates that volatility has increased compared to ADR (DbU).(⬆)
- If the current ADR is lower, it indicates that volatility has decreased compared to ADR (DbU).(⬇)
Calculations:
1. Calculate ADR:
- Average the high prices over the specified period.
- Average the low prices over the same period.
- Find the difference between these average values in %.
2. Current ADR vs. ADR (DbU):
- Calculate the ADR for the current bar.
- Calculate the ADR (DbU).
- Compare the two values to determine if volatility has increased or decreased.
By using the ADR filter, the strategy ensures that trades are only taken in favorable market conditions where volatility meets the user's defined threshold, thus optimizing entry conditions and potentially improving the overall performance of the strategy.
>: Minimum required ADR for entry | %: Current ADR comparison to ADR of 14 days ago.
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What's the probability filter? What are the underlying calculations?
The probability filter is designed to enhance trade entries by using buyside liquidity and probability analysis to filter out unfavorable conditions.
This filter helps in identifying optimal entry points where the likelihood of a profitable trade is higher.
Calculations:
1. Understanding Swing highs and Swing Lows
Swing High: A Swing High is formed when there is a high with 2 lower highs to the left and right.
Swing Low: A Swing Low is formed when there is a low with 2 higher lows to the left and right.
2. Understanding the purpose and the underlying calculations behind Buyside, Sellside and Equilibrium levels.
3. Understanding probability calculations
1. Upon the formation of a new range, the script waits for the price to reach and tap into equilibrium or the 50% level. Status: "⏸" - Inactive
2. Once equilibrium is tapped into, the equilibrium status becomes activated and it waits for either liquidity side to be hit. Status: "▶" - Active
3. If the buyside liquidity is hit, the script adds to the count of successful buyside liquidity occurrences. Similarly, if the sellside is tapped, it records successful sellside liquidity occurrences.
5. Finally, the number of successful occurrences for each side is divided by the overall count individually to calculate the range probabilities.
Note: The calculations are performed independently for each directional range. A range is considered bearish if the previous breakout was through a sellside liquidity. Conversely, a range is considered bullish if the most recent breakout was through a buyside liquidity.
Example - BSL > 55%
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What's the range length Filter? What are the underlying calculations?
The range length filter identifies the price distance between buyside and sellside liquidity levels in percentage terms. When enabled, the script only looks for entries when the minimum range length is met. This helps ensure that trades are taken in markets with sufficient price movement.
Calculations:
Range Length (%) = ( ( Buyside Level − Sellside Level ) / Current Price ) ×100
Range Bias Identification:
Bullish Bias: The current range price has broken above the previous external swing high.
Bearish Bias: The current range price has broken below the previous external swing low.
Example - Range length filter is enabled | Range must be above 1%
>: Minimum required range length for entry | %: Current range length percentage in a (Bullish/Bearish) range
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What's the day filter Filter, what does it do?
The day filter allows users to customize the session time and choose the specific days they want to include in the strategy session. This helps traders tailor their strategies to particular trading sessions or days of the week when they believe the market conditions are more favorable for their trading style.
Customize Session Time:
Users can define the start and end times for the trading session.
This allows the strategy to only consider trades within the specified time window, focusing on periods of higher market activity or preferred trading hours.
Select Days:
Users can select which days of the week to include in the strategy.
This feature is useful for excluding days with historically lower volatility or unfavorable trading conditions (e.g., Mondays or Fridays).
Benefits:
Focus on Optimal Trading Periods:
By customizing session times and days, traders can focus on periods when the market is more likely to present profitable opportunities.
Avoid Unfavorable Conditions:
Excluding specific days or times can help avoid trading during periods of low liquidity or high unpredictability, such as major news events or holidays.
Increased Flexibility: The filter provides increased flexibility, allowing traders to adapt the strategy to their specific needs and preferences.
Example - Day filter | Session Filter
θ: Session time | Exchange time-zone
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What tables are available in this script?
Table Type:
- Summary: Provides a general overview, displaying key performance parameters such as Net Profit, Profit Factor, Max Drawdown, Average Trade, Closed Trades and more.
Avg Trade: The sum of money gained or lost by the average trade generated by a strategy. Calculated by dividing the Net Profit by the overall number of closed trades. An important value since it must be large enough to cover the commission and slippage costs of trading the strategy and still bring a profit.
MaxDD: Displays the largest drawdown of losses, i.e., the maximum possible loss that the strategy could have incurred among all of the trades it has made. This value is calculated separately for every bar that the strategy spends with an open position.
Profit Factor: The amount of money a trading strategy made for every unit of money it lost (in the selected currency). This value is calculated by dividing gross profits by gross losses.
Avg RR: This is calculated by dividing the average winning trade by the average losing trade. This field is not a very meaningful value by itself because it does not take into account the ratio of the number of winning vs losing trades, and strategies can have different approaches to profitability. A strategy may trade at every possibility in order to capture many small profits, yet have an average losing trade greater than the average winning trade. The higher this value is, the better, but it should be considered together with the percentage of winning trades and the net profit.
Winrate: The percentage of winning trades generated by a strategy. Calculated by dividing the number of winning trades by the total number of closed trades generated by a strategy. Percent profitable is not a very reliable measure by itself. A strategy could have many small winning trades, making the percent profitable high with a small average winning trade, or a few big winning trades accounting for a low percent profitable and a big average winning trade. Most mean-reversion successful strategies have a percent profitability of 40-80% but are profitable due to risk management control.
BE Trades: Number of break-even trades, excluding commission/slippage.
Losing Trades: The total number of losing trades generated by the strategy.
Winning Trades: The total number of winning trades generated by the strategy.
Total Trades: Total number of taken traders visible your charts.
Net Profit: The overall profit or loss (in the selected currency) achieved by the trading strategy in the test period. The value is the sum of all values from the Profit column (on the List of Trades tab), taking into account the sign.
- Monthly: Displays performance data on a month-by-month basis, allowing users to analyze performance trends over each month.
- Weekly: Displays performance data on a week-by-week basis, helping users to understand weekly performance variations.
- OFF: Hides the performance table.
Profit Color:
- Allows users to set the color for representing profit in the performance table, helping to quickly distinguish profitable periods.
Loss Color:
- Allows users to set the color for representing loss in the performance table, helping to quickly identify loss-making periods.
These customizable tables provide traders with flexible and detailed performance analysis, aiding in better strategy evaluation and optimization.
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User-input styles and customizations:
To facilitate studying historical data, all conditions and rules can be applied to your charts. By plotting background colors on your charts, you'll be able to identify what worked and what didn't in certain market conditions.
Please note that all background colors in the style are disabled by default to enhance visualization.
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How to Use This Algobuilder to Create a Profitable Edge and System:
Choose Your Strategy mode:
- Decide whether you are creating an investing strategy or a trading strategy.
Select a Market:
- Choose a one-sided market such as stocks, indices, or cryptocurrencies.
Historical Data:
- Ensure the historical data covers at least 10 years of price action for robust backtesting.
Timeframe Selection:
- Choose the timeframe you are comfortable trading with. It is strongly recommended to use a timeframe above 15 minutes to minimize the impact of commissions/slippage on your profits.
Set Commission and Slippage:
- Properly set the commission and slippage in the strategy properties according to your broker or prop firm specifications.
Parameter Optimization:
- Use trial and error to test different parameters until you find the performance results you are looking for in the summary table or, preferably, through deep backtesting using the strategy tester.
Trade Count:
- Ensure the number of trades is 100 or more; the higher, the better for statistical significance.
Positive Average Trade:
- Make sure the average trade value is above zero.
(An important value since it must be large enough to cover the commission and slippage costs of trading the strategy and still bring a profit.)
Performance Metrics:
- Look for a high profit factor, and net profit with minimum drawdown.
- Ideally, aim for a drawdown under 20-30%, depending on your risk tolerance.
Refinement and Optimization:
- Try out different markets and timeframes.
- Continue working on refining your edge using the available filters and components to further optimize your strategy.
Automation:
- Once you’re confident in your strategy, you can use the automation section to connect the algorithm to your broker or prop firm.
- Trade a fully automated and backtested trading strategy, allowing for hands-free execution and management.
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What makes this strategy original?
1. Incorporating direct integration of probabilities into the strategy.
2. Utilizing built-in market structure-based moving averages across various timeframes.
4. Offering both investing and trading strategies, facilitating optimization from different perspectives.
5. Automation for efficient execution.
6. Providing a summary table for instant access to key parameters of the strategy.
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How to use automation?
For Traders:
1. Ensure the strategy parameters are properly set based on your optimized parameters.
2. Enter your PineConnector License ID in the designated field.
3. Specify the desired risk level.
4. Provide the Metatrader symbol.
5. Check for chart updates to ensure the automation table appears on the top right corner, displaying your License ID, risk, and symbol.
6. Set up an alert with the strategy selected as Condition and the Message as {{strategy.order.alert_message}}.
7. Activate the Webhook URL in the Notifications section, setting it as the official PineConnector webhook address.
8. Double-check all settings on PineConnector to ensure the connection is successful.
9. Create the alert for entry/exit automation.
For Investors:
1. Ensure the strategy parameters are properly set based on your optimized parameters.
2. Choose "Investing" in the user-input settings.
3. Create an alert with a specified name.
4. Customize the notifications tab to receive alerts via email.
5. Buying/selling alerts will be triggered instantly upon entry or exit order execution.
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Terms and Conditions | Disclaimer
Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data.
Built-in components, features, and functionalities of our charting tools are the intellectual property of @Fractalyst Unauthorized use, reproduction, or distribution of these proprietary elements is prohibited.
By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer and agrees to respect our intellectual property rights and comply with all applicable laws and regulations.
AlgoBuilder [Trend-Following] | FractalystWhat's the strategy's purpose and functionality?
This strategy is designed for both traders and investors looking to rely on and trade based on historical and backtested data using automation. The main goal is to build profitable trend-following strategies that outperform the underlying asset in terms of returns while minimizing drawdown. For example, as for a benchmark, if the S&P 500 (SPX) has achieved an estimated 10% annual return with a maximum drawdown of -57% over the past 20 years, using this strategy with different entry and exit techniques, users can potentially seek ways to achieve a higher Compound Annual Growth Rate (CAGR) while maintaining a lower maximum drawdown.
Although the strategy can be applied to all markets and timeframes, it is most effective on stocks, indices, future markets, cryptocurrencies, and commodities and JPY currency pairs given their trending behaviors.
In trending market conditions, the strategy employs a combination of moving averages and diverse entry models to identify and capitalize on upward market movements. It integrates market structure-based trailing stop-loss mechanisms across different timeframes and provides exit techniques, including percentage-based and risk-reward (RR) based take profit levels.
Additionally, the strategy has also a feature that includes a built-in probability and sentiment function for traders who want to implement probabilities and market sentiment right into their trading strategies.
Performance summary, weekly, and monthly tables enable quick visualization of performance metrics like net profit, maximum drawdown, compound annual growth rate (CAGR), profit factor, average trade, average risk-reward ratio (RR), and more. This aids optimization to meet specific goals and risk tolerance levels effectively.
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How does the strategy perform for both investors and traders?
The strategy has two main modes, tailored for different market participants: Traders and Investors.
Trading:
1. Trading (1x):
- Designed for traders looking to capitalize on bullish trending markets.
- Utilizes a percentage risk per trade to manage risk and optimize returns.
- Suitable for active trading with a focus on trend-following and risk management.
- (1x) This mode ensures no stacking of positions, allowing for only one running position or trade at a time.
◓: Mode | %: Risk percentage per trade
2. Trading (2x):
Similar to the 1x mode but allows for two pyramiding entries.
This approach enables traders to increase their position size as the trade moves in their favor, potentially enhancing profits during strong bullish trends.
◓: Mode | %: Risk percentage per trade
3. Investing:
- Geared towards investors who aim to capitalize on bullish trending markets without using leverage while mitigating the asset's maximum drawdown.
- Utilizes 100% of the equity to buy, hold, and manage the asset.
- Focuses on long-term growth and capital appreciation by fully investing in the asset during bullish conditions.
- ◓: Mode | %: Risk not applied (In investing mode, the strategy uses 100% of equity to buy the asset)
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What's the purpose of using moving averages in this strategy? What are the underlying calculations?
Using moving averages is a widely-used technique to trade with the trend.
The main purpose of using moving averages in this strategy is to filter out bearish price action and to only take trades when the price is trading ABOVE specified moving averages.
The script uses different types of moving averages with user-adjustable timeframes and periods/lengths, allowing traders to try out different variations to maximize strategy performance and minimize drawdowns.
By applying these calculations, the strategy effectively identifies bullish trends and avoids market conditions that are not conducive to profitable trades.
The MA filter allows traders to choose whether they want a specific moving average above or below another one as their entry condition.
This comparison filter can be turned on (>/<) or off.
For example, you can set the filter so that MA#1 > MA#2, meaning the first moving average must be above the second one before the script looks for entry conditions. This adds an extra layer of trend confirmation, ensuring that trades are only taken in more favorable market conditions.
MA #1: Fast MA | MA #2: Medium MA | MA #3: Slow MA
⍺: MA Period | Σ: MA Timeframe
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What entry modes are used in this strategy? What are the underlying calculations?
The strategy by default uses two different techniques for the entry criteria with user-adjustable left and right bars: Breakout and Fractal.
1. Breakout Entries :
- The strategy looks for pivot high points with a default period of 3.
- It stores the most recent high level in a variable.
- When the price crosses above this most recent level, the strategy checks if all conditions are met and the bar is closed before taking the buy entry.
◧: Pivot high left bars period | ◨: Pivot high right bars period
2. Fractal Entries :
- The strategy looks for pivot low points with a default period of 3.
- When a pivot low is detected, the strategy checks if all conditions are met and the bar is closed before taking the buy entry.
◧: Pivot low left bars period | ◨: Pivot low right bars period
By utilizing these entry modes, the strategy aims to capitalize on bullish price movements while ensuring that the necessary conditions are met to validate the entry points.
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What type of stop-loss identification method are used in this strategy? What are the underlying calculations?
Initial Stop-Loss:
1. ATR Based:
The Average True Range (ATR) is a method used in technical analysis to measure volatility. It is not used to indicate the direction of price but to measure volatility, especially volatility caused by price gaps or limit moves.
Calculation:
- To calculate the ATR, the True Range (TR) first needs to be identified. The TR takes into account the most current period high/low range as well as the previous period close.
The True Range is the largest of the following:
- Current Period High minus Current Period Low
- Absolute Value of Current Period High minus Previous Period Close
- Absolute Value of Current Period Low minus Previous Period Close
- The ATR is then calculated as the moving average of the TR over a specified period. (The default period is 14).
Example - ATR (14) * 1.5
⍺: ATR period | Σ: ATR Multiplier
2. ADR Based:
The Average Day Range (ADR) is an indicator that measures the volatility of an asset by showing the average movement of the price between the high and the low over the last several days.
Calculation:
- To calculate the ADR for a particular day:
- Calculate the average of the high prices over a specified number of days.
- Calculate the average of the low prices over the same number of days.
- Find the difference between these average values.
- The default period for calculating the ADR is 14 days. A shorter period may introduce more noise, while a longer period may be slower to react to new market movements.
Example - ADR (14) * 1.5
⍺: ADR period | Σ: ADR Multiplier
Application in Strategy:
- The strategy calculates the current bar's ADR/ATR with a user-defined period.
- It then multiplies the ADR/ATR by a user-defined multiplier to determine the initial stop-loss level.
By using these methods, the strategy dynamically adjusts the initial stop-loss based on market volatility, helping to protect against adverse price movements while allowing for enough room for trades to develop.
Trailing Stop-Loss:
One of the key elements of this strategy is its ability to detec buyside and sellside liquidity levels across multiple timeframes to trail the stop-loss once the trade is in running profits.
By utilizing this approach, the strategy allows enough room for price to run.
There are two built-in trailing stop-loss (SL) options you can choose from while in a trade:
1. External Trailing Stop-Loss:
- Uses sell-side liquidity to trail your stop-loss, allowing price to consolidate before continuation. This method is less aggressive and provides more room for price fluctuations.
Example - External - Wick below the trailing SL - 12H trailing timeframe
⍺: Exit type | Σ: Trailing stop-loss timeframe
2. Internal Trailing Stop-Loss:
- Uses the most recent swing low with a period of 2 to trail your stop-loss. This method is more aggressive compared to the external trailing stop-loss, as it tightens the stop-loss closer to the current price action.
Example - Internal - Close below the trailing SL - 6H trailing timeframe
⍺: Exit type | Σ: Trailing stop-loss timeframe
Each market behaves differently across various timeframes, and it is essential to test different parameters and optimizations to find out which trailing stop-loss method gives you the desired results and performance.
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What type of break-even and take profit identification methods are used in this strategy? What are the underlying calculations?
For Break-Even:
- You can choose to set a break-even level at which your initial stop-loss moves to the entry price as soon as it hits, and your trailing stop-loss gets activated (if enabled).
- You can select either a percentage (%) or risk-to-reward (RR) based break-even, allowing you to set your break-even level as a percentage amount above the entry price or based on RR.
For TP1 (Take Profit 1):
- You can choose to set a take profit level at which your position gets fully closed or 50% if the TP2 boolean is enabled.
- Similar to break-even, you can select either a percentage (%) or risk-to-reward (RR) based take profit level, allowing you to set your TP1 level as a percentage amount above the entry price or based on RR.
For TP2 (Take Profit 2):
- You can choose to set a take profit level at which your position gets fully closed.
- As with break-even and TP1, you can select either a percentage (%) or risk-to-reward (RR) based take profit level, allowing you to set your TP2 level as a percentage amount above the entry price or based on RR.
The underlying calculations involve determining the price levels at which these actions are triggered. For break-even, it moves the initial stop-loss to the entry price and activate the trailing stop-loss once the break-even level is reached.
For TP1 and TP2, it's specifying the price levels at which the position is partially or fully closed based on the chosen method (percentage or RR) above the entry price.
These calculations are crucial for managing risk and optimizing profitability in the strategy.
⍺: BE/TP type (%/RR) | Σ: how many RR/% above the current price
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What's the ADR filter? What does it do? What are the underlying calculations?
The Average Day Range (ADR) measures the volatility of an asset by showing the average movement of the price between the high and the low over the last several days.
The period of the ADR filter used in this strategy is tied to the same period you've used for your initial stop-loss.
Users can define the minimum ADR they want to be met before the script looks for entry conditions.
ADR Bias Filter:
- Compares the current bar ADR with the ADR (Defined by user):
- If the current ADR is higher, it indicates that volatility has increased compared to ADR (DbU).(⬆)
- If the current ADR is lower, it indicates that volatility has decreased compared to ADR (DbU).(⬇)
Calculations:
1. Calculate ADR:
- Average the high prices over the specified period.
- Average the low prices over the same period.
- Find the difference between these average values in %.
2. Current ADR vs. ADR (DbU):
- Calculate the ADR for the current bar.
- Calculate the ADR (DbU).
- Compare the two values to determine if volatility has increased or decreased.
By using the ADR filter, the strategy ensures that trades are only taken in favorable market conditions where volatility meets the user's defined threshold, thus optimizing entry conditions and potentially improving the overall performance of the strategy.
>: Minimum required ADR for entry | %: Current ADR comparison to ADR of 14 days ago.
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What's the probability filter? What are the underlying calculations?
The probability filter is designed to enhance trade entries by using buyside liquidity and probability analysis to filter out unfavorable conditions.
This filter helps in identifying optimal entry points where the likelihood of a profitable trade is higher.
Calculations:
1. Understanding Swing highs and Swing Lows
Swing High: A Swing High is formed when there is a high with 2 lower highs to the left and right.
Swing Low: A Swing Low is formed when there is a low with 2 higher lows to the left and right.
2. Understanding the purpose and the underlying calculations behind Buyside, Sellside and Equilibrium levels.
3. Understanding probability calculations
1. Upon the formation of a new range, the script waits for the price to reach and tap into equilibrium or the 50% level. Status: "⏸" - Inactive
2. Once equilibrium is tapped into, the equilibrium status becomes activated and it waits for either liquidity side to be hit. Status: "▶" - Active
3. If the buyside liquidity is hit, the script adds to the count of successful buyside liquidity occurrences. Similarly, if the sellside is tapped, it records successful sellside liquidity occurrences.
5. Finally, the number of successful occurrences for each side is divided by the overall count individually to calculate the range probabilities.
Note: The calculations are performed independently for each directional range. A range is considered bearish if the previous breakout was through a sellside liquidity. Conversely, a range is considered bullish if the most recent breakout was through a buyside liquidity.
Example - BSL > 50%
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What's the sentiment Filter? What are the underlying calculations?
Sentiment filter aims to calculate the percentage level of bullish or bearish fluctuations within equally divided price sections, in the latest price range.
Calculations:
This filter calculates the current sentiment by identifying the highest swing high and the lowest swing low, then evenly dividing the distance between them into percentage amounts. If the price is above the 50% mark, it indicates bullishness, whereas if it's below 50%, it suggests bearishness.
Sentiment Bias Identification:
Bullish Bias: The current price is trading above the 50% daily range.
Bearish Bias: The current price is trading below the 50% daily range.
Example - Sentiment Enabled | Bullish degree above 50% | Bullish sentimental bias
>: Minimum required sentiment for entry | %: Current sentimental degree in a (Bullish/Bearish) sentimental bias
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What's the range length Filter? What are the underlying calculations?
The range length filter identifies the price distance between buyside and sellside liquidity levels in percentage terms. When enabled, the script only looks for entries when the minimum range length is met. This helps ensure that trades are taken in markets with sufficient price movement.
Calculations:
Range Length (%) = ( ( Buyside Level − Sellside Level ) / Current Price ) ×100
Range Bias Identification:
Bullish Bias: The current range price has broken above the previous external swing high.
Bearish Bias: The current range price has broken below the previous external swing low.
Example - Range length filter is enabled | Range must be above 5% | Price must be in a bearish range
>: Minimum required range length for entry | %: Current range length percentage in a (Bullish/Bearish) range
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What's the day filter Filter, what does it do?
The day filter allows users to customize the session time and choose the specific days they want to include in the strategy session. This helps traders tailor their strategies to particular trading sessions or days of the week when they believe the market conditions are more favorable for their trading style.
Customize Session Time:
Users can define the start and end times for the trading session.
This allows the strategy to only consider trades within the specified time window, focusing on periods of higher market activity or preferred trading hours.
Select Days:
Users can select which days of the week to include in the strategy.
This feature is useful for excluding days with historically lower volatility or unfavorable trading conditions (e.g., Mondays or Fridays).
Benefits:
Focus on Optimal Trading Periods:
By customizing session times and days, traders can focus on periods when the market is more likely to present profitable opportunities.
Avoid Unfavorable Conditions:
Excluding specific days or times can help avoid trading during periods of low liquidity or high unpredictability, such as major news events or holidays.
Increased Flexibility: The filter provides increased flexibility, allowing traders to adapt the strategy to their specific needs and preferences.
Example - Day filter | Session Filter
θ: Session time | Exchange time-zone
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What tables are available in this script?
Table Type:
- Summary: Provides a general overview, displaying key performance parameters such as Net Profit, Profit Factor, Max Drawdown, Average Trade, Closed Trades, Compound Annual Growth Rate (CAGR), MAR and more.
CAGR: It calculates the 'Compound Annual Growth Rate' first and last taken trades on your chart. The CAGR is a notional, annualized growth rate that assumes all profits are reinvested. It only takes into account the prices of the two end points — not drawdowns, so it does not calculate risk. It can be used as a yardstick to compare the performance of two strategies. Since it annualizes values, it requires a minimum 4H timeframe to display the CAGR value. annualizing returns over smaller periods of times doesn't produce very meaningful figures.
MAR: Measure of return adjusted for risk: CAGR divided by Max Drawdown. Indicates how comfortable the system might be to trade. Higher than 0.5 is ideal, 1.0 and above is very good, and anything above 3.0 should be considered suspicious and you need to make sure the total number of trades are high enough by running a Deep Backtest in strategy tester. (available for TradingView Premium users.)
Avg Trade: The sum of money gained or lost by the average trade generated by a strategy. Calculated by dividing the Net Profit by the overall number of closed trades. An important value since it must be large enough to cover the commission and slippage costs of trading the strategy and still bring a profit.
MaxDD: Displays the largest drawdown of losses, i.e., the maximum possible loss that the strategy could have incurred among all of the trades it has made. This value is calculated separately for every bar that the strategy spends with an open position.
Profit Factor: The amount of money a trading strategy made for every unit of money it lost (in the selected currency). This value is calculated by dividing gross profits by gross losses.
Avg RR: This is calculated by dividing the average winning trade by the average losing trade. This field is not a very meaningful value by itself because it does not take into account the ratio of the number of winning vs losing trades, and strategies can have different approaches to profitability. A strategy may trade at every possibility in order to capture many small profits, yet have an average losing trade greater than the average winning trade. The higher this value is, the better, but it should be considered together with the percentage of winning trades and the net profit.
Winrate: The percentage of winning trades generated by a strategy. Calculated by dividing the number of winning trades by the total number of closed trades generated by a strategy. Percent profitable is not a very reliable measure by itself. A strategy could have many small winning trades, making the percent profitable high with a small average winning trade, or a few big winning trades accounting for a low percent profitable and a big average winning trade. Most trend-following successful strategies have a percent profitability of 15-40% but are profitable due to risk management control.
BE Trades: Number of break-even trades, excluding commission/slippage.
Losing Trades: The total number of losing trades generated by the strategy.
Winning Trades: The total number of winning trades generated by the strategy.
Total Trades: Total number of taken traders visible your charts.
Net Profit: The overall profit or loss (in the selected currency) achieved by the trading strategy in the test period. The value is the sum of all values from the Profit column (on the List of Trades tab), taking into account the sign.
- Monthly: Displays performance data on a month-by-month basis, allowing users to analyze performance trends over each month.
- Weekly: Displays performance data on a week-by-week basis, helping users to understand weekly performance variations.
- OFF: Hides the performance table.
Labels:
- OFF: Hides labels in the performance table.
- PnL: Shows the profit and loss of each trade individually, providing detailed insights into the performance of each trade.
- Range: Shows the range length and Average Day Range (ADR), offering additional context about market conditions during each trade.
Profit Color:
- Allows users to set the color for representing profit in the performance table, helping to quickly distinguish profitable periods.
Loss Color:
- Allows users to set the color for representing loss in the performance table, helping to quickly identify loss-making periods.
These customizable tables provide traders with flexible and detailed performance analysis, aiding in better strategy evaluation and optimization.
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User-input styles and customizations:
To facilitate studying historical data, all conditions and rules can be applied to your charts. By plotting background colors on your charts, you'll be able to identify what worked and what didn't in certain market conditions.
Please note that all background colors in the style are disabled by default to enhance visualization.
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How to Use This Algobuilder to Create a Profitable Edge and System:
Choose Your Strategy mode:
- Decide whether you are creating an investing strategy or a trading strategy.
Select a Market:
- Choose a one-sided market such as stocks, indices, or cryptocurrencies.
Historical Data:
- Ensure the historical data covers at least 10 years of price action for robust backtesting.
Timeframe Selection:
- Choose the timeframe you are comfortable trading with. It is strongly recommended to use a timeframe above 15 minutes to minimize the impact of commissions on your profits.
Set Commission and Slippage:
- Properly set the commission and slippage in the strategy properties according to your broker or prop firm specifications.
Parameter Optimization:
- Use trial and error to test different parameters until you find the performance results you are looking for in the summary table or, preferably, through deep backtesting using the strategy tester.
Trade Count:
- Ensure the number of trades is 100 or more; the higher, the better for statistical significance.
Positive Average Trade:
- Make sure the average trade value is above zero.
(An important value since it must be large enough to cover the commission and slippage costs of trading the strategy and still bring a profit.)
Performance Metrics:
- Look for a high profit factor, MAR (Mar Ratio), CAGR (Compound Annual Growth Rate), and net profit with minimum drawdown. Ideally, aim for a drawdown under 20-30%, depending on your risk tolerance.
Refinement and Optimization:
- Try out different markets and timeframes.
- Continue working on refining your edge using the available filters and components to further optimize your strategy.
Automation:
- Once you’re confident in your strategy, you can use the automation section to connect the algorithm to your broker or prop firm.
- Trade a fully automated and backtested trading strategy, allowing for hands-free execution and management.
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What makes this strategy original?
1. Incorporating direct integration of probabilities into the strategy.
2. Leveraging market sentiment to construct a profitable approach.
3. Utilizing built-in market structure-based trailing stop-loss mechanisms across various timeframes.
4. Offering both investing and trading strategies, facilitating optimization from different perspectives.
5. Automation for efficient execution.
6. Providing a summary table for instant access to key parameters of the strategy.
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How to use automation?
For Traders:
1. Ensure the strategy parameters are properly set based on your optimized parameters.
2. Enter your PineConnector License ID in the designated field.
3. Specify the desired risk level.
4. Provide the Metatrader symbol.
5. Check for chart updates to ensure the automation table appears on the top right corner, displaying your License ID, risk, and symbol.
6. Set up an alert with the strategy selected as Condition and the Message as {{strategy.order.alert_message}}.
7. Activate the Webhook URL in the Notifications section, setting it as the official PineConnector webhook address.
8. Double-check all settings on PineConnector to ensure the connection is successful.
9. Create the alert for entry/exit automation.
For Investors:
1. Ensure the strategy parameters are properly set based on your optimized parameters.
2. Choose "Investing" in the user-input settings.
3. Create an alert with a specified name.
4. Customize the notifications tab to receive alerts via email.
5. Buying/selling alerts will be triggered instantly upon entry or exit order execution.
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Strategy Properties
This script backtest is done on 4H COINBASE:BTCUSD , using the following backtesting properties:
Balance: $5000
Order Size: 10% of the equity
Risk % per trade: 1%
Commission: 0.04% (Default commission percentage according to TradingView competitions rules)
Slippage: 75 ticks
Pyramiding: 2
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Terms and Conditions | Disclaimer
Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data.
Built-in components, features, and functionalities of our charting tools are the intellectual property of @Fractalyst Unauthorized use, reproduction, or distribution of these proprietary elements is prohibited.
By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer and agrees to respect our intellectual property rights and comply with all applicable laws and regulations.
SOFEX High-End Indicators + BacktestingBINANCE:BTCUSDT.P BINANCE:ETHUSDT.P
Introducing the first publicly available suite of indicators for Bitcoin and Ethereum by Sofex - the High-End Indicators & Backtesting System.
🔬 Trading Philosophy
The High-End Indicators & Backtesting system offers both trend-following and mean-reversal algorithms to provide traders with a deep insight into the highly volatile cryptocurrency markets, known for their market noise and vulnerability to manipulation.
With these factors in mind, our indicators are designed to sidestep most potentially false signals. This is facilitated further by the "middle-ground" time frame (1 Hour) we use. Our focus is on the two largest cryptocurrencies: Bitcoin and Ethereum , which provide high liquidity, necessary for reliable trading.
Therefore, we recommend using our suite on these markets.
The backtesting version of the Sofex High-End Indicators includes mainly trend-following indicators. This is because our trading vision is that volatility in cryptocurrency markets is a tool that should be used carefully, and many times avoided. Furthermore, mean-reversal trading can lead to short-term profits, but we have found it less than ideal for long-term trading.
The script does not aim to make a lot of trades, or to always remain in a position and switch from long to short. Many times there is no direction and the market is in "random walk mode", and chasing trades is futile.
Based on our experience, it is preferable if traders remain neutral the majority of the time and only enter trades that can be exited in the foreseeable future. Trading just for the sake of it ultimately leads to loss in the long-run.
Expectations of performance should be realistic.
We also focus on a balanced take-profit to stop-loss ratio. In the default set-up of the script, that is a 2% : 2% (1:1) ratio. A relatively low stop loss and take profit build onto our idea that positions should be exited promptly. There are many options to edit these values, including enabling trailing take profit and stop loss. Traders can also completely turn off TP and SL levels, and rely on opposing signals to exit and enter new trades.
Extreme scenarios can happen on the cryptocurrency markets, and disabling stop-loss levels completely is not recommended. The position size should be monitored since all of it is at risk with no stop-loss.
We take pride in presenting this comprehensive suite of trading indicators, designed for both manual and automated use. Although automated use leads to increased efficiency, traders are free to incorporate any of our indicators into their own manual trading strategy.
⚙️ Indicators
By default, all indicators are enabled for both Long and Short trades.
Extreme Trend Breakouts
The Extreme Trend Breakouts indicator seeks to follow breakouts of support and resistance levels, while also accounting for the unfortunate fact that false signals can be generated on these levels. The indicator combines trend-breakout strategies with various other volatility and direction measurements. It works best in the beginning of trends.
Underpinning this indicator are renowned Perry Kaufman's Adaptive Moving Averages (PKAMA) alongside our proprietary adaptive moving averages. These dynamic indicators adjust their parameters based on recent price movements, attempting to catch trends while maintaining consistent performance in the long run.
In addition, our modification of the TTM Squeeze indicator further enhances the Extreme Trend Breakouts indicator, making it more responsive, especially during the initial stages of trends and filtering of "flat" markets.
High-Volatility Trend Follower
The High-Volatility Trend Follower indicator is based around the logic of evading market conditions where volatility is low (choppy markets) and aggressively following confirmed trends. The indicator works best during strong trends, however, it has the downside of entering trades at trend tops or bottoms.
This indicator also leverages our proprietary adaptive moving averages to identify and follow high-volatility trends effectively. Furthermore, it uses the Average Directional Index, Aroon Oscillator, ATR and a modified version of VWAP, to categorize trends into weak or strong ones. The VWAP indicator is used to identify the monetary (volume) inflow into a given trend, further helping to avoid short-term manipulations.
Low-Volatility Reversal
The Low-Volatility Reversal aims at plugging the holes that trend-following indicators ignore. It specifically looks for choppy markets. Using proven concepts such as Relative Strength Index and volume measurements, among others, this indicator finds local tops and bottoms with good accuracy. It works best in choppy markets with low to medium volatility. It has a downside that all reversals have, losing trades at the end of choppy markets and in the beginning of big trends.
This indicator, like the others, employs PKAMA in conjunction with our proprietary adaptive moving averages, and an Average PSAR indicator to seek out "sideways" markets. Furthermore, Bollinger Bands with an adaptive basis line is used, with the idea of trading against the short-term trends by looking at big deviations in price movement. The above mentioned indicators attempt to catch local tops and bottoms in markets.
Adaptive Trend Convergence
The Adaptive Trend Convergence aims at following trends while avoiding entering positions at local bottoms and tops. It does so by comparing a number of adaptive moving averages and looking for convergence among them. Adaptive filtering techniques for avoiding choppy markets are also used.
This indicator utilizes our proprietary adaptive moving averages, and an Average Price Range indicator to identify trend convergence and divergence effectively, preventing false signals during volatile market phases. It also makes use of Bollinger Bands with an adaptive moving average basis line and price-action adjusted deviation. Contrasting to the Low-Volatility Reversal condition described above, the Bollinger Bands used here attempt to follow breakouts outside of the lower and upper bands.
Double-Filtered Channel Breakouts
The Double-Filtered Channel Breakouts indicator is made out of adaptive channel-identifying indicators. The indicator then follows trends that significantly diverge from the established channels. This aims at following extreme trends, where rapid, continuous movements in either direction occur. This indicator works best in very strong trends and follows them relentlessly. However, these strong trends can end in strong reversals, and the indicator can be stopped out on the last trade.
Our Double-Filtered Channel Breakouts indicator is built on a foundation of adaptive channel indicators. We've harnessed the power of Keltner Channels and Bollinger Band Channels, with a similar approach used in the Adaptive Trend Convergence indicator. The basis and upper/lower bands of the channels do not rely on fixed deviation parameters, rather on adaptive ones, based on price action and volatility. This combination seeks to identify and follows extreme trends.
Direction Tracker
The Direction Tracker indicator is made out of a central slower, adaptive moving average that clearly recognizes global, long-term trends. Combined with direction and range indicators, among others, this indicator excels at finding the long-term trend and ignoring temporary pullbacks in the opposite direction. It works best at the beginning and middle of long and strong trends. It can fail at the end of trends and on very strong historical resistance lines (where sharp reversals are common).
Our Direction Tracker indicator integrates an adaptive SuperTrend indicator into its core, alongside our proprietary adaptive moving averages, to accurately identify and track long-term trends while mitigating temporary pullbacks. Furthermore, it uses Average True Range, ADX and other volatility indicators to attempt to catch unusual moves on the market early-on.
📟 Parameters Menu
To offer traders flexibility, our system comes with a comprehensive parameter menu:
Preset Selection : Choose between Bitcoin or Ethereum presets to tailor the indicators to your preferred cryptocurrency market.
Global Signal Direction: Set the global signal direction as Long, Short, or Both, depending on your trading strategy.
Global Sensitivity Parameter : Adjust the system's sensitivity to adapt to different trend-following conditions, particularly beneficial during higher-strength trends.
Source of Signals : Toggle individual indicators on or off according to your preference. By default, all indicators are enabled. Customize the indicators to trade Long, Short, or Both, aligning them with your desired market exposure.
Confirmation of Signals : Set the minimum number of confirmed signals on the same bar, ensuring signals are generated only when specific confirmation criteria are met. The default value is one, and it can be adjusted for both Long and Short signals.
Exit of Signals : You have options regarding Take-Profit (TP) and Stop-Loss (SL) levels. Enable TP/SL levels to exit trades at predetermined levels, or disable them to rely on direction changes for exits. Be aware that removing stop losses can introduce additional risk, and position sizing should be carefully monitored.
By enabling Trailing TP/SL, the system switches to a trailing approach, allowing you to:
- Place an initial customizable SL.
- Specify a level (%) for the Trailing SL to become active.
- When the activation level is reached, the system moves the trailing stop by a given Offset (%).
Additionally, you can enable exit at break-even, where the system places an exit order when the trail activation level is reached, accounting for fees and slippage.
Alert Messages : Define the fields for alert messages based on specific conditions. You can set up alerts to receive email, SMS, and in-app notifications. If you use webhooks for alerts, exercise caution, as these alerts can potentially execute trades without human supervision.
Backtesting : Default backtesting parameters are set to provide realistic backtesting performance:
- 0.04% Commission per trade (for both entries and exits)
- 3 ticks Slippage (highly dependent on exchange)
- Initial capital of $1000
- Order size of $1000
While the order size is equal to the initial capital, the script employs a 2% stop-loss order to limit losses and attempts to prevent risky trades from creating big losses. The order size is a set dollar value, so that the backtesting performance is linear, instead of using % of capital which may result in unrealistic backtesting performance.
Risk Disclaimer
Please be aware that backtesting results, while valuable for statistical overview, do not guarantee future performance in any way. Cryptocurrency markets are inherently volatile and risky. Always trade responsibly and do not risk more than you can afford to lose.
[Volume Profile] Signal Clean Up Analysis with Backtest (TSO) This is a full-cycle trading system indicator, which uses Volume Profile for generating signals using a custom developed algorithm, TP (Take Profit) and SL (Stop Loss) levels. There are 2 SOURCES for signals (each can be used separately or both can be used at the same time, each signal SOURCE is using Volume Profile levels to open optimal trade direction) with chained (NOTE: You can select several or ALL of the features, this is not limited to either one) signal cleanup and analysis approach with scheduling and alerting capabilities. Works with most popular timeframes: 1M, 5M, 15M, 1H, 4H, D, great for intraday trading!
NOTE: Every calculation is done on a confirmed closed candle bar state, so the indicator will never repaint!
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Explanation of all the Features | Configuration Guide | Indicator Settings | Signal Cleanup Analysis
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>>> Customizable Backtesting for a specific date range, results via TradingView strategy, which includes “Deep Backtesting” for largest amounts of data on trading results.
>>> Trading Schedule with customizable trading daily time range, automatic closing/alert trades before Power Hour or right before market closes or leave it open until next day.
>>> 3 Trading Systems.
>>> Multiple Signal SOURCEs for opening trades, either SOURCE can be used or both at the same time!
>>> Static/Dynamic Stop-Loss setups (HIGHLIGHT: Stop-Loss will be moved to Entry after TP1 is taken, which minimizes risk).
>>> Single or Multiple profit targets (up to 3).
>>> Take-Profit customizable offset feature (set your Take-Profit targets slightly before everyone is expecting it!).
>>> Candle bar signal analysis (matching candle color, skip opposite structured and/or doji candle uncertain signals).
>>> Additional analysis of VWAP/EMA/ATR/EWO (Elliot Wave Oscillator)/Divergence MACD+RSI/Volume signal confirmation (clean up your chart with indicator showing only the best potential signals!).
>>> Advanced Alerts setup, which can be potentially setup with a trading bot over TradingView Webhook (NOTE: This will require advanced programming knowledge).
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Labels, plots, colors explanations:
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>>>>> Signal SOURCE(s): Green/Red arrows, which will be shown unconditionally, outside of trade engine and can be hidden if desired.
>>>>> LONG open: green "house" looking arrow below candle bar.
>>>>> SHORT open: red "house" looking arrow above candle bar.
>>>>> LONG/SHORT take-profit target: green/red circles (multi-profit > TP2/3/4/5 smaller circles).
>>>>> LONG/SHORT take-profit hits: green/red diamonds.
>>>>> LONG/SHORT stop-loss target: green/red + crosses.
>>>>> LONG/SHORT stop-loss hits: green/red X-crosses.
>>>>> LONG/SHORT EOD close (profitable trade): green/red squares.
>>>>> LONG/SHORT EOD close (loss trade): green/red PLUS(+)-crosses.
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Date Range and Trading Schedule Settings
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>>>>> Date Range: Select your start and/or end dates (uncheck “End” for indicator to show results up to the very moment and to use for LIVE trading) for backtesting results, if not using backtesting – uncheck “Start”/“End” to turn it off.
>>>>> Use TradingView “Strategy Tester” to see backtesting results
NOTE: If Strategy Tester does not show any results with Date Ranged fully unchecked, there may be an issue where a script opens a trade, but there is not enough TradingView power to set the Take-Profit and Stop-Loss and somehow an open trade gets stuck and never closes, so there are “no trades present”. In such case you will need to manually check “Start”/“End” dates or use “Depp Backtesting” feature!
>>>>> Trading Schedule: This is where you can setup Intraday Session or any custom session schedule you wish. Turn it ON. Select trading hours. Select EOD (End of Day) setting (NOTE: If it will be OFF, the indicator will assume you are holding your position open until next day!).
>>> Trading Systems: 1) "Open Until Closed by TP or SL": the signal will only open a trade if no trades are currently open/trunning, a trade can only be closed by Take Profit, Stop Loss or End of Day close (if turned on) | 2) "Open Until Closed by TP or SL + OCA": Same as 1), but if there is an opposite signal to the trade which is currently open > it will immediately be closed with new trade open or End of Day close (if turned on) | 3) "OCA (no TP or SL)": There are is Take Profit or Stop Loss, only an opposite signal will close current trade and open an opposite one or End of Day close (if turned on)
>>>>> MULTIPROFIT | TP (Take-Profit) System: Once the trade is open, all Take-Profit target(s) are immediately calculated and set for the trade > once the target(s) is hit > trade will be partially closed (if candle bar closes beyond several Take-Profit targets > trade will be reduced accordingly to the amount of how many Take-Profit targets were hit)
>>>>> MULTIPROFIT | SL (Stop-Loss) System: 1) Static – Once the trade is open, Stop-Loss is calculated and set for the remaining of the trade ||| 2) Dynamic – At trade open, Stop-Loss is calculated and set the same way, however once 1st Take-Profit is taken > Stop-Loss is moved to Entry, reducing the risk.
>>>>> # of TPs (number of take profit targets): Just like it is named, this is where you select the number of Take-Profit targets for your trading system (NOTE: If "OCA (no TP or SL)" Trading System is selected, this setting won’t do anything, since there are no TP or SLs for that system).
>>>>> TP(s) offset: This is a special feature for all Take-Profit targets, where you can turn on a customizable offset, so that if the price is almost hitting the Take-Profit target, but never actually touches it > you will capture it. This is good to use with HHLL (Highest High Lowest Low), which is pretty much a Support/Resistance as often the price will nearly touch these strong areas and turn around…
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Take-Profit and Stop-Loss visual example:
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1) A simply nice intraday trading day for SPY (S&P500 ETF TRUST) with a single Take-Profit target on each trade.
See how Take-Profit distances increase with price momentum and how Stop-Loss is following the trade reducing the risk!
2) Same intraday trading day for SPY (S&P500 ETF TRUST) with 3 Take-Profit targets with static Stop-Loss.
3) Same intraday trading day for SPY (S&P500 ETF TRUST) with 3 Take-Profit targets with dynamic Stop-Loss.
You can see how Stop-Loss was moved once TP1 is taken!
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Trade Analysis and Cleanup Settings
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>>>>> Candle Analysis | Candle Color signal confirmation: If closed candle bar color does not match the signal direction > no trade will be open.
>>>>> Candle Analysis | Skip opposite candle signals: If closed candle bar color will match the signal direction, but candle structure will be opposite (for example: bearish green hammer, long high stick on top of a small green square) > no trade will be open.
>>>>> Candle Analysis | Skip doji candle signals: If closed candle bar will be the uncertain doji > no trade will be open.
>>>>> Divergence/Oscillator Analysis | EWO (Elliot Wave Oscillator) signal confirmation: LONG will only be open if at signal, EWO is green or will be at bullish slope (you can select which setting you desire), SHORT if EWO is red or will be at bearish slope.
>>>>> Divergence/Oscillator Analysis | VWAP signal confirmation: LONG will only be open if at signal, the price will be above VWAP, SHORT if below.
>>>>> Divergence/Oscillator Analysis | Moving Average signal confirmation: LONG will only be open if at signal, the price will be above selected Moving Average, SHORT if below.
>>>>> Divergence/Oscillator Analysis | ATR signal confirmation: LONG will only be open if at signal, the price will be above ATR, SHORT if below.
>>>>> Divergence/Oscillator Analysis | RSI + MACD signal confirmation: LONG will only be open if at signal, RSI + MACD will be bullish, SHORT if RSI + MACD will be bearish.
>>>>> Volume signal confirmation: LONG/SHORT will only be open if closing candle volume is 150% above average Volume based on the Volume Length.
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Alert Settings (you don’t have to touch this section unless you will be using TradingView alerts through a Webhook to use with trading bot)
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Here is how a LONG OPEN alert looks like (each label is customizable + I can add up more items/labels if needed):
COIN: BTCUSD
TIMEFRAME: 15M
LONG: OPEN
ENTRY: 20000
TP1: 20500
TP2: 21000
TP3: 21500
SL: 19000
Leverage: 0
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Adding Alerts in TradngView
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-Right-click anywhere on the TradingView chart
-Click on Add alert
-Condition: Select this indicator by it’s name
-Alert name: Whatever you want
-Hit “Create”
-Note: If you change ANY Settings within the indicator – you must DELETE the current alert and create a new one per steps above, otherwise it will continue triggering alerts per old Settings!
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If you have any questions or issues with the indicator, please message me directly via TradingView.
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Good Luck! (NOTE: Trading is very risky, past performance is not necessarily indicative of future results, so please trade responsibly!)
METRIC-TREND-TRADERThis script is a Fully Automated trading script meant to be used with "Oanda" broker and the plug-ins for algorithmic trading automation.( FOREX ONLY)
This script is meant to capture "TREND FOLLOWING " for intraday charts (1hour) preferably and will hold for days / weeks .trading on forex markets.
(The combination of indicators includes a short high and low price channel and a longer term high and low price channel)
This script is original in description as being automated to try and capture dynamic trending markets with both long and short fractal price channels. although trend trading is not an original concept. trend trading with this dynamic indicator allows the user visualize both short term and longer term price action at the same time, helping to make better trading decisions. the channels are designed to buy breakouts in the direction of the longer term trend while trailing stop a built-in stop loss that allows normal market movement while attempting to lock in flexible profits.
The concept of this indicator is be able to quickly visualize trends by high lighting the large green areas beneath price "when trending long" which is the difference between the (user defined) short term lows and the (user defined) Long period price lows.
For "down trending" markets a large red area above price will be displayed and this is the difference between the (user defined) short term highs and the (user defined) long term highs.
This strategy uses a lower than reward profile to jump in direction of market moves for continuation,
(1 risk to 4 reward)
in the likelihood the instrument will continue (example) 200 pips before it reverts 50 pips in the counter direction.
This strategy should only be used in markets that you believe are "TRENDING" at the time of trading otherwise you risk trend trading a range market.
This script uses a (user defined period) of short term high and low price ( green/red color) and (user defined period) Long Term high and low price (green/red) chosen in the indicator settings menu.
The default parameters are 10 with a (minimum of 1 and maximum of 10000) for the short term channel and 50 with a (minimum of 1 and maximum of 10000) for the long term price channel , the default parameters = roughly 2 days "long term" and 10 hours "short term" of price action on the (1 hour) chart.
Strategy entries and exits , for Long trades the trade will be entered if the short term high crosses above the Long Term high and the Short term low is not equal to the Long term low . the trade will exit if profit or stop loss are hit or if the Short term low crosses under the long term low.
For Short trades the trade will enter short if , the short term low crosses under the long term low and the short term high is not equal to the long term high. the trade will exit if profit or stop loss are hit or the short term high crosses over the long term high
"The default parameters should be kept unless you fully understand the complete strategy"
There are two very important inputs to be selected at the user setting menu "Long Only " and "Short Only" if you are looking to place long trades only select "Long Only" or for short trades select " Short Only" it is not recommended to keep both selected as it will trade both sides!
When the trade is entered a red , a blue and green horizontal dotted line will appear on the chart.
the blue line is the strategy entry price , the red line is the stop loss price , and the green line is the take profit price . the colors will invert if the trade is long or short.
(Setting alerts should be done in the indicator settings menu, and the parameters you chose will determine the stop loss/target and the amount of "units = (position size)" you wish to trade for the (forex only) markets. using "alert() function calls only" is the only alert that should be used with this strategy.
(note : when "alert() function calls only" is set two messages will be sent, one closing any open position in the opposite direction and one placing the new order regardless if you are currently in a trade or not)
Trade targets , stoploss and trade position size are a user defined variables entered in the indicator settings menu. (target pips minimum 0 and a maximum of 1000)(stop pips minimum of 0 and maximum of 1000)
Back test date range is included in the script for back testing different data periods.
the back ground will be colored a transparent navy blue if the period you are looking trading is with in the date range( note: to place live trades the end date will need to be in the future)
this is also adjustable in the settings menu
The avoid spread filter is a user defined time in which the spread is typically higher than average, applying this filter avoids trades in the specified time. When this filter is applied there will be a transparent red back ground color in the specified time.
Back test default setting are equivocal to OANDA:USDJPY
at the time of this publication placing trades with the "Oanda" broker are as follows , USD units = 2000 equal 2000 USD position size . "Oanda" current leverage is 20 to 1 for this particular pair and commission is paid in spread (1.4) pips = 0.19 USD per trade , Margin required for the trade is 100.0 USD , Position sizing = 10% of a 1000 USD account.
OANDA:USDJPY
Bot go_up DD_long/shortHello!
This strategy is based on the double bottom pattern - for entering a long position / double top-short
A double bottom pattern is formed when two price bottoms are relatively at the same level and the top acts as resistance. This pattern appears at the end of a downtrend and signals a reversal.
A double top is a bearish reversal pattern that signals the end of an uptrend. It is formed by two price highs forming at the same level and a notch line that acts as local support.
As history and practice show, the double bottom pattern works better. Moreover, in a bull market.
You can include only long or only short. BUT while there is a long, a short position will not be opened, in fact, with a long as well.
You can use reverse trade, one coin at a time.
DESCRIPTION:
// LOGIC ENTRY:
Period for short and long positions-to search for double bottom as well as double top. the more, the less false.
Change liong and short-channel width for pattern search separately for long and short.
General shift-the overall width of the channel, which changes equally at once for long and short
By default, quiet settings for tf 5 minutes are applied!
You can choose the settings you like.
// AMOUNT(USDT) FIRST ORDER AND > % NEXT
In the first column, indicate the amount, in the second, how many percent the next order will be more than the previous one.
// EXIT SETTINGS
Closing a trade by RSI when it reaches the level specified in the settings (but in the negative, the trade will never be closed, even if the condition is triggered)
Using a percentage to exit a trade + stop loss. (Put a stop order 1000+ on the market can be anything, especially if you use spot trading)
PS: in order to use the RSI output at a certain level, put a checkmark on the desired one, and also check the percentage box and indicate a take on the percentage 10-20 +)
// MARTINGALE GRID
If there is a check mark, then the grid is used.
Use all signals?
If yes, then there will be no limit on inputs from logic
If the checkbox is not checked, then you can limit the entries from the strategy logic by the specified percentage.
Grid, the next order, when decreasing by a certain percentage, an order when decreasing by the percentage that will be specified (after entering from the logic, when the next signal appears, the grid will be counted from the beginning)
PS: orders are not automatically placed, if the conditions are triggered, then the entry is only at the next bar (within the TV, it is not possible to add orders immediately, but most often, in case of straits, for the better)
// FILTER SETTINGS
The filter consists of a series of popular, averaged oscillators
//DATA RANGE
You can see the results for the selected period
//
CALCULATION OF ORDERS AND MARGIN (FOR INFO ONLY)
The number of orders is the number of entries (you must always have the same number of orders in the arguments and in the properties !!)
- in the aruments for understanding, in the properties - it does not matter how much it will cost there, so many inputs will be!)
-leverage is created to calculate the margin
When you change these parameters, you will understand how much money is required in general and what maximum drawdown can be allowed
Green line-take, lower-stop-order.
To use algo trading, in fact, you need to use a script, in the service through which you will transmit a signal through webhooks, you need to select the amount.
{{strategy.order.contracts}}
ОПИСАНИЕ НА РУССКОМ
//ЛОГИКА ВХОДА:
Период для шорт и лонг позиций, сдвиг для шорта лонга, также общий
По умолчанию применены спокойные настройки для тф. 5 минут.
Вы можете самостоятельно подбирать настройки, основываясь на прошлые результаты
//СУММА ВХОДА В ЮЗДТ +МАРТИНГЕЙЛ:
В первой графе указываете сумму , во второй -на сколько процентов следующий ордер будет больше предыдущего.
//НАСТРОЙКИ ВЫХОДА ИЗ СДЕЛКИ
Закрытие сделки по RSI, когда достигнет уровня, указанного в настройках ( но в минус сделка не будет закрыта никогда, даже если условие сработало)
Использование процента для выхода из сделки+ стоп приказ.( Ставьте стоп-приказ 1000+ на рынке может быть всякое, тем более, если используете спотовую торговлю)
ПС: для того, чтобы использовать выход по RSI по определенному уровню, поставьте галочку на нужный , а также поставьте галочку по проценту и укажите тейк по проценту 10-20+)
//НАСТРОЙКИ СЕТКИ
Если стоит галочка-то сетка используется.
Использовать все сигналы?
Если да, то лимита по входам от логики не будет
Если не стоит галочка, то можно ограничить входы от логики стратегии, на указанный процент.
Сетка, следующий ордер, при снижении на определенный процент-след ордер при снижении на тот процент, который будет указан ( после входа от логики , при появлении следующего сигнала сетка будет считаться с начала)
ПС: ордера автоматически не ставятся, если сработали условия, то вход, только на следующем баре ( в рамках ТВ, нет возможности добавить сразу ордера, но чаще всего, при проливах-к лучшему)
//НАСТРОЙКИ ФИЛЬТРА
Фильтр состоит из серии популярных, усредненных осцилляторов.
//
БЭКТЕСТИНГ
Можете посмотреть результаты за выбранный промежуток
//
ПИРАМИДИНГ (исключительно для расчета)
Количество ордеров-это количество входов ( у вас всегда должно быть одинаковое количество ордеров в агрументах и в свойствах!!)
-в аргументах для понимания, в свойствах -важно, сколько там будет стоить-столько входов и будет!)
-плечо создано для расчета маржи
При изменение данных параметров Вы будете понимать сколько потребуется средств в общем и какую максимальную просадку можно допустить
Зеленая линия-тейк, нижняя-стоп-приказ.
Для использования алго-трейдинга, собственно так и нужно использовать скрипт, в сервисе, через который Вы будете передавать сигнал через веб-хуки , Вам нужно выбрать количество.
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Удачных трейдов, друзья!
SignalCAVE Strategy BuilderYou can create strategies without writing single line of Pine Script code!
Do backtesting, set alerts and explore algorithmic trading with using SignalCAVE Strategy Builder on TradingView.
SignalCAVE Strategy Builder for TradingView
SignalCAVE is a tool that help you to create strategies in TradingView. SignalCAVE offers flexible strategy builder panel enabling users to backtest and set alerts with custom conditions (selected indicators and parameters).
CAPABILITIES
You can define rules and conditions for “Long” and “Short” signals.
“Stop Loss” or “Take Profit” functions can be activated with providing percentage values.
“Only Long”, “Only Short” or both “Long and Short” signals can be used at the same time.
Available Indicators
EMA, SMA, WMA, HMA, RSI, MACD, Stochastic, Bollinger Bands, SuperTrend, Parabolic SAR, DMI, ATR, CCI, CMF, ROC, Ichimoku, OHLC Prices
How to Set Strategy Rules?
On SignalCAVE strategy settings screen, there are four types of input groups. You can populate these input boxes based on your strategy.
A: First indicator’s parameter and index value selection area
First Input: First indicator selection.
Second Input: First indicator’s parameter selection. If you want to use default parameters, select “Default Parameters”. If you want to use custom parameters, select “Custom Parameters”. If your selection was custom, then you need to fill “P:A” input boxes to assign your custom parameter.
Third Input: First indicator’s index selection. Default parameter is “0”, If you want to get previous value of indicator/price, you can type positive numbers.
?: Condition and Interval selection area.
You can select “Upper (>), Lower (<), Upper or Equal (>=), Lower or Equal (<=), CrossOver (⬆), CrossUnder (⬇)” conditions and time frame interval for calculation both first (A:) and second (B:) indicator.
B: Second indicator’s parameter and index value selection area
First Input: Second indicator selection.
Second Input: Second indicator’s parameter selection. You may use either default parameters, or custom parameters. If your selection was custom, then you need to fill “P:B” input boxes to assign your custom parameter.
Third Input: Second indicator’s index selection. Default parameter is “0”, If you want to get previous values of indicator/price, you can type positive numbers.
P:A First indicator’s custom parameter settings. If selected indicator has less then four parameters, you can fill unnecessary fields with “0” value.
P:B Second indicator’s custom parameter settings. If selected indicator has less then four parameters, you can fill unnecessary fields with “0” value.
DASHBOARD
After you build the strategy with SignalCAVE, you can see rules and conditions on dashboard with chart view screen.
Hint: By adding multiple times of SignalCAVE strategy on your chart screen, you can build more then one strategy.
STRATEGY TESTER / BACKTEST RESULTS
You can see strategy backtest results from “Strategy Tester” panel.
By changing parameters or strategy rules (strategy optimization), you may get better results. These results does not guarantee a success for future trades.
ALERT SETTINGS
If you want to get notify about your strategy outputs (Long Entry, Long Exit, Short Entry, Short Exit, Stop, Take Profit) you can set an “Alert”.
You can click “Alert” button to create a new alert. Make sure on “Conditions” selection must be “SignalCAVE” strategy.
Paste to “Message” field exactly the text below.
{{strategy.order.alert_message}}
Hint: By setting a single alarm, you can get notifications for all outputs.
Do your alerts modifies when you change the strategy conditions or parameters?
While the strategy got updated, its alerts still use the strategy’s state from the time when we made the alert (TradingView Wiki, 2018b).
This has the advantage that, once we made a script alert, we can change the script’s input options, change chart settings, or remove the script from to the chart. All of that won’t affect our existing alert. That gives a lot of flexibility to keep interacting with the chart and script.
But there’s also a disadvantage: if we do want our script’s alerts to change, we first need to remove the existing alerts. Then we have to create and configure new alerts based on the indicator’s updated code or settings.
Jaws Mean Reversion [Strategy]This very simple strategy is an implementation of PJ Sutherlands' Jaws Mean reversion algorithm. It simply buys when a small moving average period (e.g. 2) is below
a longer moving average period (e.g. 5) by a certain percentage and closes when the small period average crosses over the longer moving average.
If you are going to use this, you may wish to apply this to a range of investment assets using a screener for setups, as the amount signals are low. Alternatively, you may wish to tweak the settings to provide more signals.
Context can be found here:
LINK
High Low Reversal This bot makes use of an algorithm which detects new highs and lows. When doing long trades, the bot will trigger a buy order on a newly made low. When making shorts, the bot will trigger a short trade on new highs.
Currently, the bot is optimized for cryptocurrencies on the M15 time frame. With the right amount of leverage and portfolio optimization this bot can obtain very strong results.
Feel free to optimize it to your own liking on different assets and/or time frames.
This bot performs exceptionally well in trending markets. Currently, it's only making long trades, but you can make it do short trades in the control panel.
The settings of the back test as follows:
starting capital = 100k
leverage = 1
commission = 0.2%
Equity per trade = 50%. Since the bot only makes one trade at a time you can allow it to use a bigger portion of your balance per trade.
I've also made a study-script for easy implementation on the exchange. You get that script once you get access to this bot.
Primus V1 - BybitHey everyone,
The current version its a scalping strategy for Bybit but for those that prefers swing trading algo I can do a different version as well for different exchanges.
This is the first version on my algo Primus, expect updates on the months to come.
Relativity BULLS FUTURES 10X 1D AlgorithmHi,
This system is prepared only for leveraged markets and for Futures and CFD markets.
Leveraged processing apply to cryptocurrency contracts that are also subject to.
System parameters:
Timeframe = 1D (1 Day)
Leverage = 10x
Position Size = %1 (0.01) Each Trade
System features :
- It targets the Risk /Reward Ratio of 1/3 and above. (Risk/Reward Ratio >= 3 )
- If a Take Profit Point has come in a successful trade but the parameter conformity has not deteriorated, system continues the trade.
- In this way, you can catch strong long trends several times a year.
But it is strict as stop-loss and avoids large declines,whipsaws whenever possible.
- The system tries to avoid unnecessary processes as much as possible.
This means less commission and less sideways market.
- Since it takes advantage of the reverse market, it is suitable not only for long and short but only for long position, ie "bulls".
But this neutralizes unnecessary processes. (Short market direction, the system for bears will be published separately.)
- Stop-Loss points and Snow-take points are shown in red and green.
-However, if there is a small amount of follow-up available at the computer, it is recommended to put stop-loss only.
Because the system revises both stop-loss and take profit points according to the conditions formed.
Doing this in the right major long trend here allows you to be in trades.
-The system takes into account the risk and only opens transactions where the value corresponding to 10 leverage ratios is greater than the risk.
This provides as much protection from risk as possible.
-Alerts added.
About Backtest :
Since this system uses leveraged market, backtest results are not healthy.
But since it targets the 1/3 Risk Reward Rate (3.00),
we must look Ratio Avg Win/Loss and it must be over 0.5 because :
This ratio means: When we reach 33% of our correct trades in all our trades, we are at breakeven.
This is 100 - 33 = 66
33/66 = 0.5
So whenever this rate is over 0.5, we make a profit.
*** The fact that this ratio is over 0.70-1.00 in terms of securing ourselves because there is a maturity in the future indicates that we are doing
successful snowball trades.(Because future contracts have loss of maturity and end dates)
And we achieve success cumulatively.
Important Note : This system is prepared only for these parameters.
These parameters are designed for Futures and CFDs.
It doesn't work in spot markets.
NOTE :
The system has been prepared as a strategy to present success in a transparent manner.
Please check "Ratio Avg. Win / Loss" rates in backtests.
Important Note 2 -
Although the system revises the stop and take profit points in the required parameters, the most accurate place is when the signal comes.
It should be entered when the signal comes as much as possible and if this did not happen,
trade must be opened in the nearest bars after the signal comes.
Best regards.
MA strategyTrading strategy on moving averages. Based on Mean reversion. These algorithmic strategies are based on a concept that assumes a regular return of the price to a certain average level, provided that a sufficiently long time distance is considered. The main objective of such strategies is to determine the expected level of price return. Interconnected with Envelopes.
HatiKO EnvelopesPublished source code is subject to the terms of the GNU Affero General Public License v3.0
This script describes and provides backtesting functionality to internal strategy of algorithmic crypto trading software "HatiKO bot".
Suitable for backtesting any Cryptocurrency Pair on any Exchange/Platform, any Timeframe.
Core Mechanics of this strategy are based on theory of price always returning to Moving Average + Envelopes indicator (Moving_average_envelope from Wiki)
Developement of this script and trading software is inspired by:
"Essential Technical Analysis: Tools and Techniques to Spot Market Trends" by Leigh Stevens (published on 12th of April 2002)
"Moving Average Envelopes" by ChartSchool, StockCharts platform (published on 13th of April 2015 or earlier)
"Коля Колеснік" from Crypto Times channel ("Метод сетка", published on 19th of August 2018)
"3 ways to use Moving Average Envelopes" by Rich Fitton, published on Trader's Nest (published on 28st of November 2018 or earlier)
noro's "Robot WhiteBox ShiftMA" strategy v1 script, published on TradingView platform (published on 29th of August 2018)
"Moving Average Envelopes: A Popular Trading Tool" Investopedia article (published 25th of June 2019)
and KROOL1980's blogpost on Argolabs ("Гридерство или Сетка как источник прибыли на форекс", published on 27th of February 2015)
Core Features:
1) Up to 4 Envelopes in each direction (Long/Short)
2) Use any of 6 different basis MAs, optionally use different MAs for Opening and Closure
3) Use different Timeframes for MA calculation, without any repainting and lookahead bias.
4) Fixed order size, not Martingale strategy
5) Close open position earlier by using Deviation parameter
6) PineScript v4 code
Options description:
Lot - % from your initial balance to use for order size calculation
Timeframe Short - Timeframe to use for Short Opening MA calculation, can be chosen from dropdown list, default is Current Graph Timeframe
MA Type Short - Type of MA to use for Short Opening MA calculation, can be chosen from dropdown list, default is SMA
Data Short - Source of Price for Short Opening MA calculation, can be chosen from dropdown list, default is OHLC4
MA Length Short - Period used for Short Opening MA calculation, should be >=1, default is 3
MA offset Short - Offset for MA value used for Short Envelopes calculation, should be >= 0, default is 0
Timeframe Long - Timeframe to use for Long Opening MA calculation, can be chosen from dropdown list, default is Current Graph Timeframe
MA Type Long - Type of MA to use for Long Opening MA calculation, can be chosen from dropdown list, default is SMA
Data Long - Source of Price for Long Opening MA calculation, can be chosen from dropdown list, default is OHLC4
MA Length Long - Period used for Long Opening MA calculation, should be >=1, default is 3
MA offset Long - Offset for MA value used for Long Envelopes calculation, should be >= 0, default is 0
Mode close MA Short - Enable different MA for Short position Closure, default is "false". If false, Closure MA = Opening MA
Timeframe Short Close - Timeframe to use for Short Position Closure MA calculation, can be chosen from dropdown list, default is Current Graph Timeframe
MA Type Close Short - Type of MA to use for Short Position Closure MA calculation, can be chosen from dropdown list, default is SMA
Data Short Close - Source of Price for Short Closure MA calculation, can be chosen from dropdown list, default is OHLC4
MA Length Short Close - Period used for Short Opening MA calculation, should be >=1, default is 3
Short Deviation - % to move from MA value, used to close position above or beyond MA, can be negative, default is 0
MA offset Short Close - Offset for MA value used for Short Position Closure calculation, should be >= 0, default is 0
Mode close MA Long - Enable different MA for Long position Closure, default is "false". If false, Closure MA = Opening MA
Timeframe Long Close - Timeframe to use for Long Position Closure MA calculation, can be chosen from dropdown list, default is Current Graph Timeframe
MA Type Close Long - Type of MA to use for Long Position Closure MA calculation, can be chosen from dropdown list, default is SMA
Data Long Close - Source of Price for Long Closure MA calculation, can be chosen from dropdown list, default is OHLC4
MA Length Long Close - Period used for Long Opening MA calculation, should be >=1, default is 3
Long Deviation - % to move from MA value, used to close position above or beyond MA, can be negative, default is 0
MA offset Long Close - Offset for MA value used for Long Position Closure calculation, should be >= 0, default is 0
Short Shift 1..4 - % from MA value to put Envelopes at, for Shorts numbers should be positive, the higher is number, the higher should be Shift position, example: "Shift 1 = 1, shift 2 = 2, etc."
Long Shift 1..4 - % from MA value to put Envelopes at, for Longs numbers should be negative, the lower is number, the lower should be Shift position, example: "Shift 1 = -1, shift 2 = -2, etc."
From Year 20XX - Backtesting Starting Year number, only 20xx supported as script is cryptocurrency-oriented.
To Year 20XX - Backtesting Final Year number, only 20xx supported as script is cryptocurrency-oriented.
From Month - Years starting Month, optional tweaking, changing not recommended
To Month - Years ending Month, optional tweaking, changing not recommended
From day - Months starting day, optional tweaking, changing not recommended
To day - Months ending day, optional tweaking, changing not recommended
Graph notes:
Green lines - Long Envelopes.
Red lines - Short Envelopes.
Orange line - MA for closing of Short positions.
Lime line - MA for closing of Long positions.
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Опубликованный исходный код регулируется Условиями Стандартной Общественной Лицензии GNU Affero v3.0
Этот скрипт описывает и предоставляет функции бектеста для внутренней стратегии алгоритмического программного обеспечения "HatiKO bot".
Подходит для тестирования любой криптовалютной пары на любой бирже/платформе, на любом таймфрейме.
Кор-механика этой стратегии основана на теории всегда возвращающейся к значению МА цены с использованием индикатора Envelopes (Moving_average_envelope from Wiki)
Разработка этого скрипта и программного обеспечения для торговли вдохновлена следующими источниками:
Книга "Essential Technical Analysis: Tools and Techniques to Spot Market Trends" Ли Стивенса (опубликовано 12 апреля 2002 года)
«Moving Average Envelopes» от ChartSchool, платформа StockCharts (опубликовано 13 апреля 2015 года или раньше)
«Коля Колеснік» с канала Crypto Times («Метод сетка», опубликовано 19 августа 2018 года)
«3 ways to use Moving Average Envelopes» Рича Фиттона, опубликованные в «Trader's Nest» (опубликовано 28 ноября 2018 года или раньше)
Скрипт стратегии noro "Robot WhiteBox ShiftMA" v1, опубликованный на платформе TradingView(опубликовано 29 августа 2018 года)
«Moving Average Envelopes: A Popular Trading Tool», статья Investopedia (опубликовано 25 июня 2019 года)
Блог KROOL1980 из Argolabs («Гридерство или Сетка как источник прибыли на форекс», опубликовано 27 февраля 2015 года)
Основные особенности:
1) До 4-х Ордеров в каждом из направлении (Лонг / Шорт)
2) Выбор из 6-ти разных базовых МА, опционально используйте разные МА для открытия и закрытия.
3) Используйте разные таймфреймы для расчета MA, без перерисовки и "эффекта стеклянного шара".
4) Фиксированный размер ордера, а не стратегия Мартингейла
5) Возможность закрытия открытой позиции заблаговременно, используя параметр Deviation
6) Код реализован на PineScript v4
Описание параметров:
Lot - % от вашего первоначального баланса, используется при расчете размера Ордера
Timeframe Short - таймфрейм, используемый для расчета МА Открытия Шорт позиций, может быть выбран из списка, по умолчанию - таймфрейм текущего графика
MA Type Short - тип MA, используемый для расчета МА Открытия Шорт позиций, может быть выбран из списка, по умолчанию SMA
Data Short - источник цены для расчета МА Открытия Шорт позиций, может быть выбран из списка, по умолчанию OHLC4
MA Length Short - период, используемый для расчета МА Открытия Шорт позиций, должен быть >= 1, по умолчанию 3
MA Offset Short - смещение значения MA, используемого для расчета Шорт Ордеров, должно быть >= 0, по умолчанию 0
Timeframe Long - таймфрейм, используемый для расчета МА Открытия Лонг позиций, может быть выбран из списка, по умолчанию - таймфрейм текущего графика
MA Type Long - тип MA, используемый для расчета МА Открытия Лонг позиций, может быть выбран из списка, по умолчанию SMA
Data Long - источник цены для расчета МА Открытия Лонг позиций, может быть выбран из списка, по умолчанию OHLC4
MA Length Long - период, используемый для расчета МА Открытия Лонг позиций, должен быть >= 1, по умолчанию 3
MA Offset Long - смещение значения MA, используемого для расчета Лонг Ордеров, должно быть >= 0, по умолчанию 0
Mode close MA Short - Включает отдельное MA для закрытия Шорт позиции, по умолчанию «false». Если false, MA Закрытия = MA Открытия
Timeframe Short Close - таймфрейм, используемый для расчета МА Закрытия Шорт позиций, может быть выбран из списка, по умолчанию - таймфрейм текущего графика
MA Type Close Short - тип MA, используемый при расчете МА Закрытия Шорт позиции. Mожно выбрать из списка, по умолчанию SMA
Data Short Close - источник цены для расчета МА Закрытия Шорт позиций, может быть выбран из списка, по умолчанию OHLC4
MA Length Short Close - период, используемый для расчета МА Закрытия Шорт позиции, должен быть >= 1, по умолчанию 3
Short Deviation - % отклонения от значения MA, используется для закрытия позиции выше или ниже рассчитанного значения MA, может быть отрицательным, по умолчанию 0
MA Offset Short Close - смещение значения MA, используемого для расчета закрытия Шорт позиции, должно быть >= 0, по умолчанию 0
Mode close MA Long - Включает разные MA для закрытия Лонг позиции, по умолчанию «false». Если false, MA Закрытия = MA Открытия
Timeframe Long Close - таймфрейм, используемый для расчета МА Закрытия Лонг позиций, может быть выбран из списка, по умолчанию - таймфрейм текущего графика
MA Type Close Long - тип MA, используемый при расчете МА Закрытия Лонг позиции. Mожно выбрать из списка, по умолчанию SMA
Data Long Close - источник цены для расчета МА Закрытия Лонг позиций, может быть выбран из списка, по умолчанию OHLC4
MA Length Long Close - период, используемый для расчета МА Закрытия Лонг позиции, должен быть >= 1, по умолчанию 3
Long Deviation -% для перехода от значения MA, используется для закрытия позиции выше или ниже рассчитанного значения MA, может быть отрицательным, по умолчанию 0
MA Offset Long Close - смещение значения MA, используемого для расчета закрытия Лонг позиции, должно быть >= 0, по умолчанию 0
Short Shift 1..4 - % от значения MA для размещения Ордеров, для Шорт Ордеров должен быть положительным, чем выше номер, тем выше должна располагаться позиция Shift, например: «Shift 1 = 1, Shift 2 = 2 и т.д. "
Long Shift 1..4 - % от значения MA для размещения Ордеров, для Лонг Ордеров должно быть отрицательным, чем ниже число, тем ниже должна располагаться позиция Shift, например: «Shift 1 = -1, Shift 2 = -2, и т.д."
From Year 20XX - Год начала тестирования, из-за ориентированности на криптовалюты поддерживаются только значения формата 20хх.
To Year 20XX - Год окончания тестирования, из-за ориентированности на криптовалюты поддерживаются только значения формата 20хх.
From Month - Начальный месяц, опционально, менять не рекомендуется
To Month - Конечный месяц, опционально, менять не рекомендуется
From day - Начальный день месяца, опционально, менять не рекомендуется
To day - Конечный день месяца, опционально, менять не рекомендуется
Пояснения к графику:
Зеленые линии - Лонг Ордера.
Красные линии - Шорт Ордера.
Оранжевая линия - MA Закрытия Шорт позиций.
Лаймовая линия - MA Закрытия Лонг позиций.
BitCoin Simple BuyerMany people asking me: How to find the right time to exit BitCoin long position? First, that comes to mind is Do Not use simple Buy-and-Hold strategy, but make short-term trades. Here is the simple algorithm for D1 or 4H timeframes.
Scalper Bot [SMRT Algo]The SMRT Algo Bot is a trading strategy designed for use on TradingView, enabling traders to backtest and refine their strategies with precision. This bot is built to provide key performance metrics through TradingView’s strategy tester feature, offering insights such as net profit, maximum drawdown, profit factor, win rate, and more.
The SMRT Algo Bot is versatile, allowing traders to execute either pro-trend or contrarian strategies, each with customizable parameters to suit individual trading styles.
Traders can automate the bot to their brokerage platform via webhooks and use third-party software to facilitate this.
Core Features:
Backtesting Capabilities: The SMRT Algo Bot leverages TradingView’s powerful strategy tester, allowing traders to backtest their strategies over historical data. This feature is crucial for assessing the viability of a strategy before deploying it in live markets. By providing metrics such as net profit, maximum drawdown, profit factor, and win rate, traders can gain a comprehensive understanding of their strategy's performance, helping them to make informed decisions about potential adjustments or optimizations.
Advanced Take Profit and Stop Loss Methods: The SMRT Algo Bot offers multiple methods for setting Take Profit (TP) and Stop Loss (SL) levels, providing flexibility to match different market conditions and trading strategies.
Take Profit Methods:
- Normal (Percent-based): Traders can set their TP levels as a percentage. This method adjusts the TP dynamically based on market volatility, allowing for more responsive profit-taking in volatile markets.
- Donchian Channel: Alternatively, the bot can use the Donchian Channel to set TP levels, which is particularly useful in trend-following strategies. The Donchian Channel identifies the highest high and lowest low over a specified period, providing a clear target for profit-taking when prices reach extreme levels.
Stop Loss Methods:
- Percentage-Based Stop Loss: This method allows traders to set a fixed percentage of the entry price as the stop loss. It provides a straightforward, static risk management approach that is easy to implement.
- Normal (Percent-based): Traders can set their SL levels as a percentage. This method adjusts the SL dynamically based on market volatility, allowing for more responsive profit-taking in volatile markets.
- ATR Multiplier: Similar to the TP method, the SL can also be set using a multiple of the ATR.
Pro-Trend and Contrarian Strategies: The SMRT Algo Bot is designed to execute either pro-trend or contrarian trading strategies, though only one can be active at any given time.
Pro-Trend Strategy: This strategy aligns with the prevailing market trend, aiming to capitalize on the continuation of current price movements. It is particularly effective in trending markets, where momentum is expected to carry the price further in the direction of the trend.
Contrarian Strategy: In contrast, the contrarian strategy seeks to exploit potential reversals or corrections, trading against the prevailing trend. This approach is more suitable in overextended markets where a pullback is anticipated. Traders can switch between these strategies based on their market outlook and trading style.
Dashboard Display: A dashboard located in the bottom right corner of the TradingView interface provides real-time updates on the bot’s performance metrics. This includes key statistics such as net profit, drawdown, profit factor, and win rate, specific to the current instrument being tested. This immediate access to performance data allows traders to quickly assess the effectiveness of the strategy and make necessary adjustments on the fly.
Input Settings:
Reverse Signals: If turned on, buy trades will be shown as sell trades, etc.
Show Signal (Bar Color): Shows the signal bar as a green candle for buy or red candle for sell.
RSI: Used as a filter for one of the conditions for trade. Can be turned on/off by clicking on the checkbox.
Timeframe: Affects the timeframe of RSI filter.
Length: Length of RSI used in measurement.
First Cross: Whether or not to factor in the first RSI cross in the calculation.
Buy/Sell (Above/Below): Look for trades if RSI is above or below these values.
EMA: Used as a trend filter for one of the conditions for trade. Can be turned on/off by clicking on the checkbox.
Timeframe: Affects the timeframe of EMA filter.
Fast Length: Value for the fast EMA.
Middle Length: Value for the middle EMA
Slow Length: Value for the slow EMA.
ADX: Used as a volatility filter for one of the conditions for trade. Can be turned on/off by clicking on the checkbox.
Threshold: Threshold value for ADX.
ADX Smoothing: Smoothing value for the ADX
DI Length: DI length value for the ADX.
Donchian Channel Length: This value affects the length value of the DC. Used in TP calculation.
Close Trade On Opposite Signal: If true, the current trade will close if an opposite trade appears.
RSI: If turned on, it will also use the RSI to exit the trade (overextended zones).
Take Profit Option: Choose between normal (percentage-based) and Donchian Channel options.
Stop Loss Option: Choose between normal (percentage-based) and Donchian Channel options.
The SMRT Algo Bot’s components are designed to work together seamlessly, creating a comprehensive trading solution. Whether using the ATR multiplier for dynamic adjustments or the Donchian Channel for trend-based targets, these methods ensure that trades are managed effectively from entry to exit. The ability to switch between pro-trend and contrarian strategies offers adaptability, enabling traders to optimize their approach based on market behavior. The real-time dashboard ties everything together, providing continuous feedback that informs strategic adjustments.
Unlike basic or open-source bots, which often lack the flexibility to adapt to different market conditions, the SMRT Algo Bot provides a robust and dynamic trading solution. The inclusion of multiple TP and SL methods, particularly the ATR and Donchian Channel, adds significant value by offering traders tools that can be finely tuned to both volatile and trending markets.
The SMRT Algo Suite, which the SMRT Algo Bot is a part of, offers a comprehensive set of tools and features that extend beyond the capabilities of standard or open-source indicators, providing significant additional value to users.
What you also get with the SMRT Algo Suite:
Advanced Customization: Users can customize various aspects of the indicator, such as toggling the confirmation signals on or off and adjusting the parameters of the MA Filter. This customization enhances the adaptability of the tool to different trading styles and market conditions.
Enhanced Market Understanding: The combination of pullback logic, dynamic S/R zones, and MA filtering offers traders a nuanced understanding of market dynamics, helping them make more informed trading decisions.
Unique Features: The specific combination of pullback logic, dynamic S/R, and multi-level TP/SL management is unique to SMRT Algo, offering features that are not readily available in standard or open-source indicators.
Educational and Support Resources: As with other tools in the SMRT Algo suite, this indicator comes with comprehensive educational resources and access to a supportive trading community, as well as 24/7 Discord support.
The educational resources and community support included with SMRT Algo ensure that users can maximize the indicators’ potential, offering guidance on best practices and advanced usage.
SMRT Algo believe that there is no magic indicator that is able to print money. Indicator toolkits provide value via their convenience, adaptability and uniqueness. Combining these items can help a trader make more educated; less messy, more planned trades and in turn hopefully help them succeed.
RISK DISCLAIMER
Trading involves significant risk, and most day traders lose money. All content, tools, scripts, articles, and educational materials provided by SMRT Algo are intended solely for informational and educational purposes. Past performance is not indicative of future results. Always conduct your own research and consult with a licensed financial advisor before making any trading decisions.
APIBridge Advanced RSI + EMAUsing Pinescript, we will use charts of Cash/Future to trade in Options. Note this strategy works well with even the free version of TradingView.
The Relative Strength Index ( RSI ). Is a momentum oscillator that measures the speed and change of price movements. The RSI oscillates between zero and 100. Increasing RSI shows increasing bullish momentum. Decreasing RSI shows increasing bearish momentum. We take RSI upper bound as 80 to indicate bullish momentum and RSI lower bound as 20 to indicate bearish momentum.
Since this strategy uses underlying data (cash/future) to place trades in Options, please ignore the backtest of this strategy given by TradingView. TradingView does not provide options data but this strategy bypasses it.
Strategy Premise
The Relative Strength Index ( RSI ) is a momentum oscillator that measures the speed and change of price movements. The RSI oscillates between zero and 100. Increasing RSI shows increasing bullish momentum. Decreasing RSI shows increasing bearish momentum. We take RSI upper bound as 80 to indicate bullish momentum and RSI lower bound as 20 to indicate bearish momentum.
apibridge rsi + ema options / futures / commodity algo strategy logic
Long Entry: When RSI crosses over oversold level and fast ema crosses over slow ema , send LE .
Long Exit: When price hit Stop loss or Target .If SL/ TGT is not hit and reverse signal is sent by strategy then exit the Long
Short Entry : When RSI crosses under overbought level and fast ema crosses under slow ema , send SE
Short Exit : When price hit Stop loss or Target. If SL/ TGT is not hit and reverse signal is sent by strategy then exit Short
TradingView Parameters
1. Start Date(Mandatory) : The strategy does not take trade before this date
2. End Date(Mandatory) : The strategy does not take trade after this trade
3.RSI Length(Mandatory): Number of bars used to calculated RSI .
4.Fast Ema Length(Mandatory): Length for fast ema
5.Slow Ema Length(Mandatory): Length for slow ema
6.Source for rsi and ema calculation(Mandatory): Source to use for rsi and ema like close , open , high , low , hl2 etc
7.Overbought(Mandatory): To specify upper band of RSI .
8.Oversold(Mandatory): For specifying lower band of RSI .
9.plot ema or rsi (Mandatory) : Due to difference in scales of rsi and ema , strategy can only plot one of both precisely (the strategy logic which is based on both esi and ema is unaffected by this choice)
10.Quantity: We use this to specify the trade quantity (for Nifty min 75)
11.Custom Stop Loss in Points: Movement in chart price against the momentum which will trigger exit in options positions
12.Custom Target in Points: Movement in chart price against the momentum which will trigger exit in options positions
13.Base symbol: This is the base instrument symbol like NIFTY or BANK NIFTY .
14.Strike distance from ATM: Our default strike selection is considered as first ATM option (with nearest distance, only 100s are considered ). This strike
distance allows to calculate ATM options which are at fixed distance.
15.Expiry: Expiry of option. Weekly and monthly both expiry are allowed.
16.Instrument: For index instrument will be OPTIDX, for stock instrument will be OPTSTK
17.Strategy Tag: The Strategy of Nifty options configured in Api bridge.
APIBridge Candlestick Reversal SystemStrategy Premise
This strategy uses the Wick Reversal System introduced in Pivot Boss and generates signals based on Candlestick Patterns.
– Wick Reversal System
– Extreme Reversal System
– Outside Reversal System
– Doji Reversal System
Wick Reversal System:
1. For a Bullish reversal wick to exist, the close of the bar should fall within the top 35% of the overall range of the candle.
2. For a bearish reversal wick to exist, the close of the bar should fall within the bottom 35% of the overall range of the candle.
Extreme Reversal System:
1. The first bar of the pattern is about two times larger than the average size of the candles in the look-back period.
2. The body of the first bar of the pattern should encompass more than 50% of the bar’s total range, but usually not more than 85%.
3. The second bar of the pattern opposes the first. If the first bar of the pattern is bullish (C > 0), then the second bar must be bearish (C < 0). If the first bar is bearish (C < 0), then the second bar must be bullish (C > 0).
Outside Reversal System:
1. The Engulfing bar of a bullish outside reversal setup has a low that is below the prior bar’s low (L < L) and a close that is above the prior bar’s high (C > H).
2. The Engulfing bar of a bearish outside reversal setup has a high that is above the prior bar’s high (H > H) and a close that is below the prior bar’s low (C < L).
3. The Engulfing bar is usually 5 to 25 percent larger than the size of the average bar in the look-back period.
Doji Reversal System:
1. The open and close prices of the Doji should fall within 10 percent of each other, as measured by the total range of the Candlestick .
2. For a Bullish Doji , the high of the Doji Candlestick should be below the ten-period Simple Moving Average (H SMA (10)).
4. For a Bearish Doji , one of the two bars following the Doji must close beneath the low of the Doji (C < L or C < L).
5. For a Bullish Doji setup, one of the two bars following the Doji must close above the high of the Doji (C > H) or C > H)
Strategy Logic
Long Entry:
When Low Pivot Point and Wick Reversal System and Bullish Wick Reversal Setup Pattern Send, LE
OR When Low Pivot Point and Extreme Reversal System and Bullish Extreme Reversal setup Send ,LE
OR When Low Pivot Point and Outside Reversal System and Bullish Outside Reversal Setup Send LE
OR When Low Pivot Point and Doji Reversal System and Bullish Doji Reversal Setup Send, LE
Long Exit:
Either when SL or Target is hit. If SL/ TGT is not hit and
When High Pivot Point and Wick Reversal System and Bearish Wick Reversal Setup Pattern Send LXSE
OR When High Pivot Point Extreme Reversal System and Bearish Extreme Reversal setup Send LXSE
OR When High Pivot Point Outside Reversal System and Bearish Outside Reversal Setup Send LXSE
OR When High Pivot Point Doji Reversal System and Bearish Doji Reversal Setup Send, LXSE
Short Entry:
When High Pivot Point and Wick Reversal System and Bearish Wick Reversal Setup Pattern Send SE
OR When High Pivot Point Extreme Reversal System and Bearish Extreme Reversal setup Send SE
OR When High Pivot Point Outside Reversal System and Bearish Outside Reversal Setup Send SE
OR When High Pivot Point Doji Reversal System and Bearish Doji Reversal Setup Send, SE
Short Exit:
Either when SL or Target is hit. If SL/ TGT is not hit and
When Low Pivot Point and Wick Reversal System and Bullish Wick Reversal Setup Pattern Send, SXLE
OR When Low Pivot Point and Extreme Reversal System and Bullish Extreme Reversal setup Send ,SXLE
OR When Low Pivot Point and Outside Reversal System and Bullish Outside Reversal Setup Send SXLE
OR When Low Pivot Point and Doji Reversal System and Bullish Doji Reversal Setup Send, SXLE
Candlestick Reversal System Algo Strategy Parameters for TradingView Charts
1.Length: This is number of bars used to calculated Ex: 14 à previous 14 candles are used
2.Backtesting : Use this to backtest the strategy between Starting and Ending Date and time , it can also be used to set trades in future time
3.Alert_Message : Need to copy while creating alert into Message Box
4.Trade Setup : Intraday / Positional (Selecct accordingly)
5.Start Time Stop Time (Session 1) : Intraday / Positional start time and end time of trade for session 1
6.End Session 1 : Define time to exit any existing position taken in session 1 so that exchange charges will not apply
7.Use Second Session : Check this to use second intraday session
8.Start Time Stop Time (Session 2) : Intraday / Positional start time and end time of trade for session 2
9.End Session 1 : Define time to exit any existing position taken in session 2 so that exchange charges will not apply
10.Use Target : check if you want to set required target if not cheque will not applicable
11.Use StopLoss : Cheque if you want to set stop loss if not cheque will not applicable
12.Trailling Stoploss : Cheque if you want to set trailing stop loss if not cheque will not applicable
13.Point Or Percentage For TG SL : Use Points or Percentage as per your choice
14.Target : Set as per the selection of (Point Or Percentage For TG SL)
15.Stop Loss : Set as per the selection of (Point Or Percentage For TG SL)
16.TSL_Type : Select as per your logic in %/ATR/Points
17.TSL_Input : Set in case you select %/Points in TSL_Type
18.ATR Length : Set as per your logic if you select ATR in the field of TSL_Type
19.ATR_Mult : Set as per your logic if you select ATR in the field of TSL_Type
20.Segment : Select segment of your logic EQ/FUTIDX/FUTSTK/OPTIDX/OPTSTK/FUTCUR/FUTCUM (Used in case of option / Futures )
21.Select Expiry Date : Select the expiry date of your trade as per the segment you selected (Used in case of option / Futures )
22.Select Expiry Month : Select the expiry Month of your trade as per the segment you selected (Used in case of option / Futures )
23.Year : Select the expiry Year of your trade as per the segment you selected (Used in case of option / Futures )
24.Quantity : Enter the quantity in which you want to trade (Used in case of option / Futures )
25.Product Type : Select MIS/Normal/ CNC as per your logic (Used in case of option / Futures )
26.Order Type : Select Market/Limit as per your logic (Used in case of option / Futures )
27.Strategy Tag : Enter the value in case you are using webhook / advance template in APIBridgeTM
28.Lotsize : Enter the lotsize as per your lotic and quentity selection (Used in case of option / Futures )
29.STEP (OTM/ATM/ ITM ) : Select OTM(+1)/ATM(0)/ ITM (-1) as per your logic works in case of options only
30.DIFFERENCE_BETWEEN 2 STRIKE : Select difference of 2 strikes you have used in APIBridge symbol setting list, like for Nifty 50 BankNifty 100
31.APIB Port : Set as per provided to you by Algoji in case of webhook / advance templet
The Segment full form is given below
EQ Equity
FUTIDX Future Index
FUTSTK Future Stock
OPTIDX Index Option
OPTSTK Stock Option
FUTCUR Futcur Currency
FUTCUM Future Commodity
Strength Volatility Killer - The Quant ScienceStrength Volatility Killer - The Quant Science™ is based on a special version of RSI (Relative Strength Index), created with the simple average and standard deviation.
DESCRIPTION
The algorithm analyses the market and opens positions following three different volatility entry conditions. Each entry has a specific and personal exit condition. The user can setting trailing stop loss from user interface.
USER INTERFACE SETTING
Configures the algorithm from the user interface.
AUTO TRADING COMPLIANT
With the user interface, the trader can easily set up this algorithm for automatic trading.
BACKTESTING INCLUDED
The trader can adjust the backtesting period of the strategy before putting it live. Analyze large periods such as years or months or focus on short-term periods.
NO LIMIT TIMEFRAME
This algorithm can be used on all timeframes.
GENERAL FEATURES
Multi-strategy: the algorithm can apply long strategy or short strategy.
Built-in alerts: the algorithm contains alerts that can be customized from the user interface.
Integrated indicator: indicator is included.
Backtesting included: quickly automatic backtesting of the strategy.
Auto-trading compliant: functions for auto trading are included.
ABOUT BACKTESTING
Backtesting refers to the period 13 June 2022 - today, ticker: AVAX/USDT, timeframe 5 minutes.
Initial capital: $1000.00
Commission per trade: 0.03%
QaSH DCA Algorithm 2.0This is the strategy version of the QaSH DCA Algorithm indicator. This strategy version of the script includes live trading alert functionality, so it can be considered as a replacement that makes the indicator version obsolete. With this version, features have been added and also you can take advantage of TradingView's native backtesting system for more detailed backtest results.
QaSH DCA Algorithm implements a DCA strategy that takes advantage of price volatility by buying dips to average down, and adjusting price targets as the break-even price gets lower.
How does the DCA strategy work?
When the specified entry condition has occurred, the indicator will set up several limit orders below the current price. If price goes up a specified amount, then the layers will be overwritten at the higher prices. If price goes down and fills the first layer (limit order), then the Take Profit price is plotted and will be sent in an alert. If more layers are filled, then the TP price will move down accordingly as it’s based on the average entry price (alerts on each TP update). This action of lowering the average entry and TP price mitigates your risk, and increases the likelihood of a Take Profit event happening. This script uses a simple "ASAP" mode, where each deal will start exactly 2 bars after the last trade ended. An EMA filter and stoploss function was also added for risk management.
How does this differ from other DCA bots?
1) The layer placements, order volume , and “take profit %” for each layer or “safety order” is much more customizable than what you get from other services. For example, I can choose to have my TP% change, depending on how big the price dip was. Maybe on safety order 1 I want 10% TP, but on safety order 7 might want a 2% TP.
2) The entry condition is adjustable. For example, this script has an ema filter for entries.
3) Settings optimization. You can take advantage of the replay feature and TradingView's backtest system to see how trades would have played out, and how much PnL you would have made
4) You can use this indicator on more than just crypto. You can easily set up alerts for manual trades on stocks, or you can integrate it with your stock broker API of choice and automate your trades.
5) When combining this with an automation service, you will get unmatched execution speed by running it on your dedicated machine.
6) I can offer a lifetime subscription to the indicator upon request.
What kind of market is it best used on?
QaSH DCA Algorithm is best used on assets that are volatile. That means large and frequent swings up and down. Also I recommend running this on many uncorrelated assets at the same time. Better yet, run it with a variety of different settings simultaneously on the same asset.
What settings should I use?
The default settings are decent for most markets, and provide a good balance between profit potential and downside protection, although you can use a wide variety of settings. In a strong bull market its best to either bring up your layers to catch smaller dips, or you can go big on the first few layers (maybe 4 layers, 25% on each layer for example). In a sideways or brearish market you'll want more downside protection, so you'll want the larger orders to be at lower prices, or possibly use the stoploss and EMA filter.
BollingerBands Strat + pending order alerts via TradingConnectorSoftware part of algotrading is simpler than you think. TradingView is a great place to do this actually. To present it, I'm publishing each of the default strategies you can find in Pinescript editor's "built-in" list with slight modification - I'm only adding 2 lines of code, which will trigger alerts, ready to be forwarded to your broker via TradingConnector and instantly executed there. Alerts added in this script: 14, 17, 20 and 23.
SCRIPT INCLUDES PENDING ORDERS AND ALERTS! Alert will be sent to MetaTrader when order is triggered, but not yet filled. That means if market conditions change and order does not get filled, it needs to be cancelled as well, and there are alerts for that in the script as well.
How it works:
1. TradingView alert fires.
2. TradingConnector catches it and forwards to MetaTrader4/5 you got from your broker.
3. Trade gets executed inside MetaTrader within 1 second of fired alert.
When configuring alert, make sure to select "alert() function calls only" in CreateAlert popup. One alert per ticker is required.
Adding stop-loss, take-profit, trailing-stop, break-even or executing pending orders is also possible. These topics have been covered in other example posts.
This routing works for Forex, indices, stocks, crypto - anything your broker offers via their MetaTrader4 or 5.
Disclaimer: This concept is presented for educational purposes only. Profitable results of trading this strategy are not guaranteed even if the backtest suggests so. By no means this post can be considered a trading advice. You trade at your own risk.
If you are thinking to execute this particular strategy, make sure to find the instrument, settings and timeframe which you like most. You can do this by your own research only.
Consecutive Up/Down Strat + alerts via TradingConnector to ForexSoftware part of algotrading is simpler than you think. TradingView is a great place to do this actually. To present it, I'm publishing each of the default strategies you can find in Pinescript editor's "built-in" list with slight modification - I'm only adding 2 lines of code, which will trigger alerts, ready to be forwarded to your broker via TradingConnector and instantly executed there. Alerts added in this script: 12 and 15.
How it works:
1. TradingView alert fires.
2. TradingConnector catches it and forwards to MetaTrader4/5 you got from your broker.
3. Trade gets executed inside MetaTrader within 1 second of fired alert.
When configuring alert, make sure to select "alert() function calls only" in CreateAlert popup. One alert per ticker is required.
Adding stop-loss, take-profit, trailing-stop, break-even or executing pending orders is also possible. These topics have been covered in other example posts.
This routing works for Forex, indices, stocks, crypto - anything your broker offers via their MetaTrader4 or 5.
Disclaimer: This concept is presented for educational purposes only. Profitable results of trading this strategy are not guaranteed even if the backtest suggests so. By no means this post can be considered a trading advice. You trade at your own risk.
If you are thinking to execute this particular strategy, make sure to find the instrument, settings and timeframe which you like most. You can do this by your own research only.