Heiken Ashi Supertrend ADX - StrategyHeiken Ashi Supertrend ADX Strategy
Overview
This strategy combines the power of Heiken Ashi candles, Supertrend indicator, and ADX filter to identify strong trend movements across multiple timeframes. Designed primarily for the cryptocurrency market but adaptable to any tradable asset, this system focuses on capturing momentum in established trends while employing a sophisticated triple-layer stop loss mechanism to protect capital and secure profits.
Strategy Mechanics
Entry Signals
The strategy uses a unique blend of technical signals to identify high-probability trade entries:
Heiken Ashi Candles: Looks specifically for Heiken Ashi candles with minimal or no wicks, which signal strong momentum and trend continuation. These "full-bodied" candles represent periods where price moved decisively in one direction with minimal retracement.
Supertrend Filter : Confirms the underlying trend direction using the Supertrend indicator (default factor: 3.0, ATR period: 10). Entries are aligned with the prevailing Supertrend direction.
ADX Filter (Optional) : Can be enabled to focus only on stronger trending conditions, filtering out choppy or ranging markets. When enabled, trades only trigger when ADX is above the specified threshold (default: 25).
Exit Signals
Positions are closed when either:
An opposing signal appears (Heiken Ashi candle with no wick in the opposite direction)
Any of the three stop loss mechanisms are triggered
Triple-Layer Stop Loss System
The strategy employs a sophisticated three-tier stop loss approach:
ATR Trailing Stop: Adapts to market volatility and locks in profits as the trend extends. This stop moves in the direction of the trade, capturing profit without exiting too early during normal price fluctuations.
Swing Point Stop : Uses natural market structure (recent highs/lows over a lookback period) to place stops at logical support/resistance levels, honoring the market's own rhythm.
Insurance Stop: A percentage-based safety net that protects against sudden adverse moves immediately after entry. This is particularly valuable when the swing point stop might be positioned too far from entry, providing immediate capital protection.
Optimization Features
Customizable Filters: All components (Supertrend, ADX) can be enabled/disabled to adapt to different market conditions
Adjustable Parameters: Fine-tune ATR periods, Supertrend factors, and ADX thresholds
Flexible Stop Loss Settings: Each of the three stop loss mechanisms can be individually enabled/disabled with customizable parameters
Best Practices for Implementation
Recommended Timeframes: Works best on 4-hour charts and above, where trends develop more reliably
Market Conditions: Performs well across various market conditions due to the ADX filter's ability to identify meaningful trends
Position Sizing: The strategy uses a percentage of equity approach (default: 3%) for position sizing
Performance Characteristics
When properly optimized, this strategy has demonstrated profit factors exceeding 3 in backtesting. The approach typically produces generous winners while limiting losses through its multi-layered stop loss system. The ATR trailing stop is particularly effective at capturing extended trends, while the insurance stop provides immediate protection against adverse moves.
The visual components on the chart make it easy to follow the strategy's logic, with position status, entry prices, and current stop levels clearly displayed.
This strategy represents a complete trading system with clearly defined entry and exit rules, adaptive stop loss mechanisms, and built-in risk management through position sizing.
Penunjuk dan strategi
T模型无重绘放心用V1发布半公开(已验证)Strategy Notes:
1: The strategy requires Binance Perpetual Contract data sources for all loaded coins.
2: Binance exchange data sources for all coins have been successfully loaded.
**Timeframe**: 4 hours
**Priority Coins**:
`BTCUSDT.P`, `ETHUSDT.P`, `ARCUSDT.P`, `VINEUSDT.P`, `NEIROUSDT`, `AI16ZUSDT.P`, `FILUSDT.P`, `SUSDT.P`, `TIAUSDT.P`, `AVAXUSDT.P`, `BCHUSDT.P`, `APEUSDT.P`, `WLDUSDT.P`, `MKRUSDT.P`, `HBARUSDT.P`, `DOGEUSD.P`, `ONDOUSDT.P`, `ARBUSDT.P`, `PIUSDT`, `AUCTIONUSDT.P`, `API3USDT.P`, `DOTUSDT.P`, `MAGICUSDT.P`, `KASUSDT.P`, `RAREUSDT.P`
**Secondary Coins**:
`LAYERUSDT.P`, `IPUSDT.P`, `KAITOUSDT.P`, `TRUMPUSDT.P`, `GALAUSDT.P`, `XRPUSDT.P`, `ICPUSDT.P`, `SANDUSDT.P`, `DYDXUSDT.P`, `TRXUSDT.P`
**Style**: Customize according to personal preferences.
---
### **Parameter Settings**:
- **Initial Capital**: 1000 USDT
- **Order Size**: 1000 (later changed to USDT)
- **Transaction Fee**: 0.05%
- **Order Execution**:
- Enable "K-line Amplifier"
- Execute on K-line close
- Use standard OHLC (Open/High/Low/Close)
---
**Note**:
Free to share with the community for one day. For authorization, please contact the author via WeChat: **ailiuliang6666**.
Silver Strat |BASIC| [AgJ]Silver Strat |Basic by SilverJROM
Strategy for multiple assets on cryptocurrencies
The Silver Strategy is a trading approach primarily developed for a wide range of cryptocurrencies, with Bitcoin (BTC) and Solana (SOL) serving as the main assets for testing and refinement. Its effectiveness in the cryptocurrency market stems from two key characteristics of these assets: (1) their prices tend to exhibit strong trends, either upward or downward, and (2) over the long term, their value generally increases. The strategy is designed to capitalize on these traits, and it may not perform well if applied to assets that lack these behaviors.
Additionally, the Silver Strategy is built for simplicity and flexibility. It features a core trading logic that handles the primary buy and sell decisions, complemented by optional auxiliary logic that users can enable or disable as needed. To support decision-making, the strategy incorporates trend and momentum calculations, which are visually represented through bar colors indicating trend strength. It also includes performance metrics, making it easy for users to evaluate the strategy’s results on a specific asset.
🧩 Key Features
8 Indicators
The strategy combines 8 unique indicators to analyze market trends, momentum, and conditions, generating precise buy and sell signals across various cryptocurrencies:
Oscillators : Detect overbought/oversold levels to pinpoint entry and exit opportunities, particularly in range-bound markets.
Trend Following : Monitor price direction and persistence to align with sustained bullish or bearish trends.
Momentum & Strength : Evaluate the speed and force of price movements to identify strong, actionable trends versus weaker signals.
Adaptive Calculations : Dynamically adjust to volatility and asset-specific factors, ensuring reliable performance.
By integrating these indicator classes, the strategy delivers a cohesive, adaptable system for confident trading decisions.
Customizability
The strategy has a core trading logic for long and short positions, with optional supplementary logic users can toggle to adjust its behavior for specific assets. This simple design skips complex tweaks, letting users easily adapt it to various cryptocurrencies or trading styles, like momentum or trend-following, while keeping it user-friendly and flexible.
Trend Strength
The strategy uses bar color for trend strength to reflect price trends and momentum based on its 8 indicators. Green bars signal a strong upward trend with bullish momentum, while red bars indicate a downward trend or crash. This color-coding helps traders quickly identify market conditions for better entry and exit decisions. Note that the bar color is a lagged indicator, reflecting past price movements rather than real-time shifts.
Metrics
The Silver Strategy offers user-friendly metrics integrated into TradingView, displaying the strategy’s performance directly on the time series screen. These metrics provide a clear summary of historical results, enabling users to assess and customize the strategy for each asset based on its past performance. Key features include:
Sortino Ratio to assess risk-adjusted returns with a focus on downside risk
Sharpe Ratio to measure overall return per unit of risk.
Profitability indicates the success rate of trades
Net Profit highlights the total gains achieved over time.
Class rating , reflecting its overall performance quality.
By analyzing these metrics, users can make data-driven decisions when adjusting the strategy’s logic flags—such as toggling Logic1 or Logic9—to optimize its behavior for different cryptocurrencies or market conditions, ensuring better alignment with their trading objectives.
BTCUSD
SOLUSD
ETHUSD
🔵 Usage
Tailor and Test: Create a customized strategy for any cryptocurrency by toggling logic flags (e.g., Logic1 for trend focus, Logic9 for momentum filters) to suit your trading style. Use the provided metrics to test historical performance—evaluating risk-adjusted returns, win rate, and overall gains—and refine your setup before deploying the strategy in live markets.
Risk Management : Implement robust risk controls by setting appropriate position sizes, using stop-loss orders, and adjusting trade frequency based on market volatility. This ensures the strategy aligns with your risk tolerance and financial goals, especially in the unpredictable crypto market.
Disclaimer : Past results, as reflected in the metrics, do not guarantee future performance. Market conditions, volatility, and asset behavior can change, so always trade with caution and adapt to current trends.
Silver Strat is a specific tool to help managing a portfolio mainly cryptocurrencies. This is a basic version, if you like this one, appreciate it and would like to support my work a PRO version of this strategy would be available version, kindly drop me a DM.
RSI Divergence w/ Visuals + Candle ConfirmationStrategy Blueprint: RSI Divergence Reversal (1H Timeframe)
RSI Period: 10
Timeframe: 1H
Entry Logic:
Bullish Divergence:
Price makes a lower low
RSI makes a higher low
RSI is below 30 before turning upward
Bearish Divergence:
Price makes a higher high
RSI makes a lower high
RSI is above 70 before turning downward
Exit Logic:
Fixed stop loss (e.g., 40 pips)
Fixed take profit (e.g., 80 pips)
Plot divergence lines:
Green for bullish divergence
Red for bearish divergence
Candlestick confirmation:
Bullish divergence triggers only if there's a bullish candle (close > open)
Bearish divergence triggers only if there's a bearish candle (close < open)
Trigger Candle Sweep Strategy - Bearish & BullishIdentifying Trigger Candle sweeps. Sweeps of liquidity with momentum
BONK 1H Long Volatility StrategyGrok 1hr bonk strategy:
Key Changes and Why They’re Made
1. Indicator Adjustments
Moving Averages:
Fast MA: Changed to 5 periods (from, e.g., 9 on a higher timeframe).
Slow MA: Changed to 13 periods (from, e.g., 21).
Why: Shorter periods make the moving averages more sensitive to quick price changes on the 1-hour chart, helping identify trends faster.
ATR (Average True Range):
Length: Set to 10 periods (down from, e.g., 14).
Multiplier: Reduced to 1.5 (from, e.g., 2.0).
Why: A shorter ATR length tracks recent volatility better, and a lower multiplier lets the strategy catch smaller price swings, which are more common hourly.
RSI:
Kept at 14 periods with an overbought level of 70.
Why: RSI stays the same to filter out overbought conditions, maintaining consistency with the original strategy.
2. Entry Conditions
Trend: Requires the fast MA to be above the slow MA, ensuring a bullish direction.
Volatility: The candle’s range (high - low) must exceed 1.5 times the ATR, confirming a significant move.
Momentum: RSI must be below 70, avoiding entries at potential peaks.
Price: The close must be above the fast MA, signaling a pullback or trend continuation.
Why: These conditions are tightened to capture frequent volatility spikes while filtering out noise, which is more prevalent on a 1-hour chart.
3. Exit Strategy
Profit Target: Default is 5% (adjustable from 3-7%).
Stop-Loss: Default is 3% (adjustable from 1-5%).
Why: These levels remain conservative to lock in gains quickly and limit losses, suitable for the faster pace of a 1-hour timeframe.
4. Risk Management
The strategy may trigger more trades on a 1-hour chart. To avoid overtrading:
The ATR filter ensures only volatile moves are traded.
Trading fees (e.g., 0.5% on Coinbase) reduce the net profit to ~4% on winners and -3.5% on losers, requiring a win rate above 47% for profitability.
Suggestion: Risk only 1-2% of your capital per trade to manage exposure.
5. Visuals and Alerts
Plots: Blue fast MA, red slow MA, and green triangles for buy signals.
Alerts: Trigger when an entry condition is met, so you don’t need to watch the chart constantly.
How to Use the Strategy
Setup:
Load TradingView, select BONK/USD on the 1-hour chart (Coinbase pair).
Paste the script into the Pine Editor and add it to your chart.
Customize:
Adjust the profit target (e.g., 5%) and stop-loss (e.g., 3%) to your preference.
Tweak ATR or MA lengths if BONK’s volatility shifts.
Trade:
Look for green triangle signals and confirm with market context (e.g., volume or news).
Enter trades manually or via TradingView’s broker tools if supported.
Exit when the profit target or stop-loss is hit.
Test:
Use TradingView’s Strategy Tester to backtest on historical data and refine settings.
Benefits of the 1-Hour Timeframe
Faster Opportunities: Captures shorter-term uptrends in BONK’s volatile price action.
Responsive: Adjusted indicators react quickly to hourly changes.
Conservative: Maintains the 3-7% profit goal with tight risk control.
Potential Challenges
Noise: The 1-hour chart has more false signals. The ATR and MA filters help, but caution is needed.
Fees: Frequent trading increases costs, so ensure each trade’s potential justifies the expense.
Volatility: BONK can move unpredictably—monitor broader market trends or Solana ecosystem news.
Final Thoughts
Switching to a 1-hour timeframe makes the strategy more active, targeting shorter volatility spikes while keeping profits conservative at 3-7%. The adjusted indicators and conditions balance responsiveness with reliability. Backtest it on TradingView to confirm it suits BONK’s behavior, and always use proper risk management, as meme coins are highly speculative.
Disclaimer: This is for educational purposes, not financial advice. Cryptocurrency trading, especially with assets like BONK, is risky. Test thoroughly and trade responsibly.
Optimized Liquidity Sweep RSI Divergence StrategyIncreasing your win percentage isn’t solely about tweaking code—it involves:
Systematic testing: Validate each change over sufficient historical data.
Market context understanding: Know that different market conditions might favor one type of filter over another.
Holistic review: Evaluate not just the win rate but also your overall expectancy. A lower win rate with a strong risk/reward might be more profitable than a high win rate with low rewards.
Continue experimenting while keeping thorough records of your backtests and live results. This iterative process will help you tailor your approach to achieve that target 70% win rate. If you have further questions or need additional modifications, feel free to ask!
PG (45 Min) - PROD v6This strategy combines familiar technical tools into a structured system designed for clean, high-probability setups on the 45-minute timeframe. It is modular, momentum-driven, and equipped with adaptive risk and drawdown control.
⸻
🔍 Core Logic & Indicators:
• Volume Filter: Confirms signals using volume above a 25-bar SMA.
• MACD Signal Logic: Tracks histogram color changes (not just crossovers), requiring two flips before entry triggers.
• HMA-Based CMO: Custom momentum logic using Hull MA of open/close; identifies overbought/oversold momentum at pivots.
• RSI Thresholds: RSI < 25 marks support zones; RSI > 75 flags potential resistance.
• Support Pattern Logic: Uses bar indexing to track valid double-signal support zones with volume confirmation.
• Price Drop Entry Filter: Entry only triggers if price dips 1% below support trigger and MACD momentum flips again.
⸻
📊 Rolling Profit Factor + Dynamic Position Multiplier:
The script calculates a rolling profit factor using the last 24 closed trades. This PF dynamically adjusts a position size multiplier to scale exposure based on recent performance:
• PF < 2.0 → No multiplier
• PF 2.0–3.0 → 1.0x
• PF 3.0–5.0 → 1.5x
• PF 5.0–7.0 → 1.75x
• PF > 7.0 → 2.5x
This approach helps adjust trade aggressiveness without manual tuning, aligning system behavior with real equity performance.
⸻
🔻 Drawdown Management:
Tracks both per-trade and rolling max drawdown:
• Monitors equity during open trades to track peak/trough
• Calculates per-trade drawdown and stores in a rolling array
• Applies rolling max drawdown as a dynamic exit threshold after 1000 bars
• Prevents excessive risk by comparing real equity deviation against historical pain points
⸻
⚙️ Additional Features:
• Cascading take-profit logic reduces TP target slightly each bar
• Clean JSON-formatted alerts for both entries and exits
• No repainting, no security() lookaheads
• Alert payloads compatible with automation tools
⸻
🧪 Backtest Parameters:
• Initial capital: $100
• Trade size: $75 per trade
• Commission: 0.4%
• Slippage not included
• Timeframe: 45-min (designed for intraday swing setups)
31 Trades made over the Backtest Period (depends on your subscription). Running this live for the last 60 days.
Blu-Money Vip📈 Introducing the system: "Blu Money"
Are you looking for an accurate, easy-to-use BUY/SELL signal system with an automatic trailing stop to optimize your entry points?
"Blu Money" is the choice for you.
✅ Key features:
🔹 Clear Buy/Sell signals:
The system automatically displays arrows and "Buy" or "Sell" labels right on the chart whenever there is a trend reversal signal.
🔹 Smart Trailing Stop:
The blue line below/above the candle acts as a trailing stop – helping you identify reasonable exit zones or move the SL according to the trend.
🔹 Multi-timeframe and multi-pair application:
Easily used on all charts – from Forex, Crypto to Stocks.
🔹 Flexible parameter customization:
Allows you to change signal sensitivity, trailing width, confirmation time, suitable for various trading styles.
🧠 Who is it suitable for?
New traders who need easy-to-understand, intuitive signals.
Professional traders looking to optimize their trading strategies.
Tactical FlowTactical Flow – Altcoin Swing Strategy with Trend Logic & Dynamic TP System
(Built for 1H timeframe altcoin trading)
🎯 Purpose
Tactical Flow is a swing trading strategy purpose-built for altcoins on the 1-hour timeframe. It targets clean trend continuation setups by combining non-repainting filters for direction, momentum, and volume with a real-time execution engine that strictly avoids same-bar reversals. It includes a dynamic take-profit system with real-time trade tracking and an integrated visual dashboard.
⚙️ Strategy Core Components
Each module was chosen for precision, trend clarity, and altcoin-specific price behavior.
🔹 1. White Line Bias
Defines market structure using the midpoint of recent high/low range.
→ Keeps you trading with the dominant structure.
🔹 2. Tether Trend Engine
Two mid-range bands (Fast & Slow Tether) act like a dynamic trend cloud.
→ Ensures trend direction is confirmed with structural layering.
🔹 3. ZLEMA Gradient Filter
A Zero Lag EMA of price that’s compared to its previous value for momentum slope.
→ Confirms the trend has actual energy behind it.
🔹 4. TEMA Micro-Flow
A smoothed directional signal to confirm price is accelerating, not just trending.
→ Filters out late or fading entries.
🔹 5. Volume Spike Filter
Confirms that breakouts are real by requiring volume > 1.5× median of previous candles.
→ Designed for altcoins to avoid fakeouts during random volatility.
🔹 6. RMI Trend Memory
Keeps track of the trend state over time, allowing for smoother transitions and fewer whipsaws.
→ Helps the strategy stay in trend longer and only reverse when confirmation is strong.
🔹 7. Reversal Cooldown Logic
Exits a trade, then waits 1 full bar before taking a reversal entry.
→ Avoids common backtest false positives where entries and exits occur on the same candle.
💸 Trade Management – TP1/TP2 Logic
TP1 = 50% closed when price hits target 1
TP2 = full exit
Exits early if trend weakens
Supports dynamic reentry after TP2 if trend resumes
→ Keeps risk controlled while allowing position scaling in volatile altcoin swings.
📊 Strategy Dashboard
Visual interface shows:
Current Position (Long / Short / Flat)
Entry Price
TP1 and TP2 hit status
Bars since entry
Real-time Win Rate
Profit Factor
🧪 Backtesting & Execution Compliance
✅ Fully non-repainting
✅ Compatible with TradingView's deep backtesting
✅ Uses strategy.exit with limit logic for accurate TP tracking
✅ No stop-loss — closes trades on trend weakening only
🔥 Best Use Case
Altcoin swing trades on 1H chart
Works well during trending periods with volume
Not designed for choppy or sideways conditions
Pairs well with watchlist scanners and heatmaps
DI+/- Cross Strategy with ATR SL and 2% TPDI+/- Cross Strategy with ATR Stop Loss and 2% Take Profit
📝 Script Description for Publishing:
This strategy is based on the directional movement of the market using the Average Directional Index (ADX) components — DI+ and DI- — to generate entry signals, with clearly defined risk and reward targets using ATR-based Stop Loss and Fixed Percentage Take Profit.
🔍 How it works:
Buy Signal: When DI+ crosses above 40, signaling strong bullish momentum.
Sell Signal: When DI- crosses above 40, indicating strong bearish momentum.
Stop Loss: Dynamically calculated using ATR × 1.5, to account for market volatility.
Take Profit: Fixed at 2% above/below the entry price, for consistent reward targeting.
🧠 Why it’s useful:
Combines momentum breakout logic with volatility-based risk management.
Works well on trending assets, especially when combined with higher timeframe filters.
Clean BUY and SELL visual labels make it easy to interpret and backtest.
✅ Tips for Use:
Use on assets with clear trends (e.g., major forex pairs, trending stocks, crypto).
Best on 30m – 4H timeframes, but can be customized.
Consider combining with other filters (e.g., EMA trend direction or Bollinger Bands) for even better accuracy.
Breakout-Retest with Pivot Points StandardThis Pine Script strategy, "Breakout-Retest with Pivot Standard," identifies breakout and retest opportunities within a trading session (9:30 AM to 4:00 PM EST). It calculates an initial range (high/low) from 9:30 to 9:45 AM, plotting these as blue (high) and red (low) lines.
A bullish breakout occurs when the price closes above the initial high, labeled "Breakout Up," and a bearish breakout when it closes below the initial low, labeled "Breakout Down." After a breakout, it waits for a retest where the price returns to the breakout level (within a tolerance) and closes in the breakout direction. For a bullish retest, a long entry ("B" label) is triggered if the low is within tolerance of the initial high and the close is above it, with a stop-loss below the retest candle and a 3:1 profit target.
A bearish retest triggers a short entry ("S" label) under similar conditions, with a stop-loss above the retest candle. The strategy ensures trades occur within the session, resetting breakout flags on new days.
It also integrates pivot points (P, S1-S3, R1-R3) from a previous script, plotting resistance lines in red and support lines in green. Alerts are set for bullish ("Bullish Retest Trigger") and bearish ("Bearish Retest Trigger") retest entries. This strategy aids traders in capturing momentum after breakouts with confirmation via retests.
TrendTwisterV1.5 (Forex Ready + Indicators)A Precision Trend-Following TradingView Strategy for Forex**
HullShiftFX is a Pine Script strategy for TradingView that combines the power of the **Hull Moving Average (HMA)** and a **shifted Exponential Moving Average (EMA)** with multi-layered momentum filters including **RSI** and **dual Stochastic Oscillators**.
It’s designed for traders looking to catch high-probability breakouts with tight risk management and visual clarity.
Chart settings:
1. Select "Auto - Fits data to screen"
2. Please Select "Scale Price Chart Only" (To make the chart not squished)
### ✅ Entry Conditions
**Long Position:**
- Price closes above the 12-period Hull Moving Average.
- Price closes above the 5-period EMA shifted forward by 2 bars.
- RSI is above 50.
- Stochastic Oscillator (12,3,3) %K is above 50.
- Stochastic Oscillator (5,3,3) %K is above 50.
- Hull MA crosses above the shifted EMA.
**Short Position:**
- Price closes below the 12-period Hull Moving Average.
- Price closes below the 5-period EMA shifted forward by 2 bars.
- RSI is below 50.
- Stochastic Oscillator (12,3,3) %K is below 50.
- Stochastic Oscillator (5,3,3) %K is below 50.
- Hull MA crosses below the shifted EMA.
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## 📉 Risk Management
- **Stop Loss:** Set at the low (for long) or high (for short) of the previous 2 candles.
- **Take Profit:** Calculated at a risk/reward ratio of **1.65x** the stop loss distance.
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## 📊 Indicators Used
- **Hull Moving Average (12)**
- **Exponential Moving Average (5) **
- **Relative Strength Index (14)**
- **Stochastic Oscillators:**
- %K (12,3,3)
- %K (5,3,3)
ORB w/ Targets & NewsThis strategy is my interpretation of the ORB (opening range breakout) strategy.
It plots the opening range for the first 15 minutes of the RTH (regular trading hours) session, then plots this range and looks for the first 5m candle to close either above or below said range.
- If it closes above the range, then it should result in a LONG entry on the next candle.
- If it closes below the range, then it should result in a SHORT entry on the next candle.
The user has the option also of:
- Changing the timeframe where changes can occur.
- using BE+ (breakeven plus)
- using TSL (trailing stop loss)
- setting TP (take profit) as a percentage of the opening range.
SL (stop loss) is fixed at 55% of opening range (might change this in future revisions).
- Choosing to block trading before/after various impact news events.
...and MANY more options.
Please note that (for now) this strategy is invite only and provided to members of the GOAT Algo System, link here:
(detail about how to subscribe are included there)
I am not an administrator of that system, but am myself a subscriber, and am providing this and soon other strategies as a way to contribute to the group.
Disclaimers:
- Trading has risks, be sure to educate yourself as to the risks of trading.
- The default settings are just a starting point and are not meant to be the "best", since settings will naturally be necessitated over time. It is up to the individual trader to do their own backtesting and optimizing of parameters.
- No returns are guaranteed, it is up to the individual trader to use their own judgement to decide to enable this strategy and what settings they will use.
Feedback:
Feel free to reach out to the publisher of this strategy with suggestions through the group's Discord channel, subscribing member areas. There is no guarantee that any suggestions will be implemented, but they will be considered.
PythonEx Global ALL MARKET FRIENDLY QUANTITATIVE STRATEGY
SUITABLE FOR ALL MARKETS
GOLD✅
FOREX✅
CRYPTO✅
INDIAN✅
US MARKETS✅
Things To Remember
* ONLY use 1hr Timeframe
* Trail your own Stoploss ,as the system has huge stoploss (not suitable for PROPFIRM ACs)
* Suitable for options and futures
* Great results when used with 1:2 , 1:3 RR
Multi-Divergence Strategy - VerbeterdThe Multi-Divergence Strategy is designed for traders who want to capitalize on technical divergences while maintaining disciplined risk management. This strategy integrates three popular indicators (RSI, MACD, and Stochastic) to identify bullish and bearish signals through crossovers. Users can choose, on an indicator-by-indicator basis, whether to include them in the analysis. Additionally, a trend filter based on a 50-period moving average ensures that positions are only taken in line with the prevailing market trend. For risk management, both fixed stop-loss and take-profit levels, as well as a trailing stop, are implemented to limit losses and secure profits. This combination makes the strategy robust and flexible, suitable for both beginners and experienced traders looking for a systematic approach to technical analysis and position management.
SYMBOL ; XAUUSD on 5 MINUTES TIMEFRAME
Disclaimer:
Trading in financial markets carries significant risks and may result in the loss of your entire investment. The information, strategies, and signals provided herein are intended solely for educational and informational purposes and do not constitute financial or investment advice. No warranty is given regarding the profitability of any strategy, and past performance is not indicative of future results. You are advised to conduct your own thorough research and, if necessary, consult with a qualified financial advisor before making any trading decisions. Always trade using risk capital that you can afford to lose and assume full responsibility for your investment decisions.
SkynetCapital.org: Automated Trading SystemSkynetCapital.org Automated Trading System scans the market for trends prior to producing trade entries and exits which can be tied to any live or prop accounts for automated execution.
💡 Automated Execution Setup
➡️ Log into algotrader.skynetcapital.org/
➡️ Select and enable an account and set Algo to 'TV'.
➡️ Click on 'Tradingview Connect' and create a new alert in Tradingview.
➡️ Set the alert condition to this indicator.
➡️ Clear the message box and paste the alert message and webhook URL in the alert settings.
✳️ You can control the bots trades by pausing and resuming the alert in
tradingview or deleting the alert. That will allow you to turn
the bot on and off anytime.
To learn more or join the algo trading team at Skynet Capital visit skynetcapital.org/
ANTLER (AERGO M5)This is a trading strategy called "ANTLER (AERGO M5)" created by Ronald Claro founder of fb groupchat 'League Of Petmalu'
## Key Components of the Strategy.
1. **Wave Indicators**: The strategy uses "wave" calculations based on price changes and volume to determine market momentum.
2. **Volume-Based Channel**: It creates a price channel based on volume-weighted price data to identify trading ranges.
3. **Multi-timeframe Analysis**: It compares signals from the current timeframe with a higher timeframe to confirm trends.
4. **VWAP (Volume Weighted Average Price)**: Used for profit targets and trailing stops.
5. **Position Management**: Implements partial position closing at different profit targets and trailing stops.
6. **Leverage**: Allows setting leverage from 1-10x to amplify returns (and risk).
## Trading Logic
The strategy enters positions when:
- Both timeframes show aligned momentum (same direction wave)
- Current wave strength exceeds higher timeframe strength
- Market conditions meet specific criteria (trending, ranging, or breakout)
It uses three market condition types to determine entries:
- **Trending**: When price momentum is significantly higher than average
- **Ranging**: When price stays close to the channel's basis
- **Breakout**: When price moves far from the channel's basis
## Risk Management Features
1. **VWAP-based Partial Closes**: Can close portions of positions at two different profit targets
2. **Trailing Stops**: Based on VWAP with a percentage offset
3. **Counter-Trend Exits**: Exits when wave indicators reverse direction
## Visualization
The script plots:
- VWAP line and bands for profit targets
- Volume-based price channel
- Trailing stop levels
- Entry signals as triangles above/below price bars
## Notable Parameters
- Customizable wave lengths (fast=11, slow=23)
- Volume channel length (14)
- Configurable profit target percentages
- Adjustable trailing stop percentage
- Leverage setting (default=3)
This is a fairly sophisticated algorithmic trading strategy that combines multiple technical indicators and risk management techniques to identify trading opportunities across different market conditions.
RBSScript for breakouts of certain time ranges, Essentially you can put in a specific time, TP, & Sl, and it will calculate the performance.
Donchian Breakout Strategy📈 Donchian Breakout Strategy (Inspired by Way of the Turtle)
This strategy is a modern adaptation of the legendary Turtle Trading system as taught in Way of the Turtle by Curtis Faith — re-engineered for the crypto market’s volatility, 24/7 nature, and frequent fakeouts.
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🐢 Original Inspiration
The original Turtle system, created by Richard Dennis and William Eckhardt, used:
• Breakouts of Donchian Channels (20-day for entry, 10-day for exit)
• Volatility-based position sizing using ATR (N)
• Simple rules, big trend exposure, and pyramiding to grow winners
It was built for futures and commodities, trading daily bars, assuming stable trading hours and regulated markets.
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🚀 What’s Different in This Strategy?
✅ Optimized for Crypto
• Adapts to constant volatility and price manipulation common in crypto
• Adds commission modeling for realistic results (0.045% default)
✅ Improved Entry Filtering
• Uses EMA filter to align with trend direction
• Adds RSI momentum check to avoid early or weak breakouts
• Optional volatility and volume filters to reduce false signals
✅ Smarter Exits
• ATR-based volatility stop loss, not just Donchian reversal
• Avoids pyramiding to reduce risk from sudden reversals
✅ Backtest-Friendly
• Default backtest window starts from 2025-01-01
• Fully configurable: long/short toggle, filter control, stop loss multiplier
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🧪 Use Case
• Best on trending coins with strong directional moves
• Avoids chop via filters, preserving capital
• Can be tuned for aggressive or conservative setups with just a few tweaks
Dkoderweb repainting issue fix strategyHarmonic Pattern Recognition Trading Strategy
This TradingView strategy called "Dkoderweb repainting issue fix strategy" is designed to identify and trade harmonic price patterns with optimized entry and exit points using Fibonacci levels. The strategy implements various popular harmonic patterns including Bat, Butterfly, Gartley, Crab, Shark, ABCD, and their anti-patterns.
Key Features
Pattern Recognition: Identifies 17+ harmonic price patterns including standard and anti-patterns
Fibonacci-Based Entries and Exits: Uses customizable Fibonacci levels for precision entries, take profits, and stop losses
Alternative Timeframe Analysis: Option to use higher timeframes for pattern identification
Heiken Ashi Support: Optional use of Heiken Ashi candles instead of regular candlesticks
Visual Indicators:
Pattern visualization with ZigZag indicator
Buy/sell signal markers
Color-coded background to highlight active trade zones
Customizable Fibonacci level display
How It Works
The strategy uses a ZigZag-based pattern identification system to detect pivot points
When a valid harmonic pattern forms, the strategy calculates the optimal entry window using the specified Fibonacci level (default 0.382)
Entries trigger when price returns to the entry window after pattern completion
Take profit and stop loss levels are automatically set based on customizable Fibonacci ratios
Visual alerts notify you of entries and exits
The strategy tracks active trades and displays them with background color highlights
Customizable Settings
Trade size
Entry window Fibonacci level (default 0.382)
Take profit Fibonacci level (default 0.618)
Stop loss Fibonacci level (default -0.618)
Alert messages for entries and exits
Display options for specific Fibonacci levels
Alternative timeframe selection
This strategy is designed to fix repainting issues that are common in harmonic pattern strategies, ensuring more reliable signals and backtesting results.
Scalping Strategy with DCA - V2Strategy Overview
This advanced scalping strategy combines technical analysis with strategic Dollar Cost Averaging (DCA) for short-term crypto trading. It utilizes multiple indicators to identify high-probability entry points and implements a structured approach to position management with predefined risk controls.
Key Features
Multi-indicator confirmation system using EMA 48, RSI 14, MACD, and Bollinger Bands
Smart entry detection based on trend changes, price action, and divergence patterns
Fixed risk management limiting exposure to 1-3% of total account per trade
Structured DCA approach with 1-2-6 ratio for averaging down
Higher timeframe confirmation to avoid false signals
Preset take-profit levels at 0.5% and 1% for partial profit taking
Dynamic stop-loss adjustment with breakeven protection after securing profits
Trading Conditions
The strategy enters trades when all of the following conditions align:
Price crosses the EMA 48 in the intended direction
RSI confirms strength (>60 for longs, <40 for shorts)
MACD line crosses above/below signal line confirming momentum
Price is near previous support/resistance zones
RSI shows divergence at the 5th peak/trough
Higher timeframe confirms this is the 2nd pivot point
Risk Management
Initial risk limited to 1-3% of account
Position sizing follows 1-2-6 DCA ratio for averaging down
Stop loss set at 1-3% from entry, calculated in monetary terms
After full DCA deployment, stop loss updated to 1.3% from entry
Take profit at 0.5% (close 25%) and 1% (close 50%)
Stop loss moves to breakeven after second take profit hit
Best Trading Conditions
Use only on cryptocurrencies with large market capitalization
Trade coins with holder percentage above 7%
Best results in trending markets with clear support/resistance
Optimal on 5-minute to 1-hour timeframes for scalping
Implementation Notes
This strategy is designed for precision scalping in crypto markets. It combines volatility controls with trend-following techniques and systematic position management to maximize reward while strictly limiting risk exposure.
