Hyperion Crypto Matrix: Ultimate Market Sentinel
// 🔰 HYPERION CRYPTO MATRIX: ULTIMATE MARKET SENTINEL
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The **Hyperion Crypto Matrix** is an advanced crypto trend-following strategy built from the ground up for precision, not just performance. Unlike traditional “mashups” of indicators, this system was **engineered around synergy**—each module is purpose-driven and non-redundant, delivering fast, filtered, high-probability signals in volatile crypto markets.
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📌 STRATEGY PURPOSE
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Hyperion is built for **1-hour crypto trading** and optimizes for:
- High Win Rate
- Early Exits on Trend Weakness
- Partial Position Scaling (TP1/TP2)
- Real-time trade performance tracking
It is ideal for traders who want **real-time trade logic** with:
- No repainting
- No overfitting
- Realistic entry/exit structure
- No same-bar entry & exit (enforces 1-bar delay)
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🧠 WHAT MAKES IT ORIGINAL
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Each component is **custom-integrated** with strict role separation:
- **Trend Direction:** Enhanced Wave Oscillator (EWO) with adaptive band filtering
- **Trend Strength Memory:** Relative Momentum Index (RMI) with threshold locking
- **Volume Confirmation:** Historical relative volume spike filter using SMA multiplier
- **Momentum Weakness Exit:** Combined ROC and CCI to detect early reversal before price turns
- **Position Tracking:** TP1 (50% exit), TP2 (100% close) with cooldown to prevent whipsaws
- **Dynamic Dashboard:** Real-time stats including win rate, PnL efficiency, and TP hit status
These aren’t just “plugged in” indicators—they are synchronized to **filter, confirm, and adapt** to price action with timing logic that prevents premature entries or late exits.
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📊 INDICATOR LOGIC OVERVIEW
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1. **📈 Enhanced Wave Oscillator (EWO):**
- Calculates the delta between a fast and slow EMA (5 vs. 34 by default)
- Uses a dynamic banding system to detect peaks/troughs and prevent entries during exhaustion
- Filters only active, accelerating trends — reducing false positives
2. **🧠 Relative Momentum Index (RMI):**
- Similar to RSI but with a forward-looking momentum comparison
- Confirms trend *persistence* over time, preventing entries on short-term flips
- Long entries only allowed when RMI > threshold (default 55), short if RMI < 45
3. **🔊 Volume Spike Filter:**
- Uses 20-bar SMA of volume and a multiplier (1.5x default) to detect **relative volume breakouts**
- Prevents trades in low-liquidity environments (e.g., chop, overnight sessions)
4. **📉 Weak Trend Close Logic:**
- Combines Rate of Change (ROC) and Commodity Channel Index (CCI)
- Detects early signs of momentum deterioration, often before the trend visually reverses
- Triggers exit before price falls into sideways zones
5. **🎯 Take Profit System (TP1/TP2):**
- TP1: 50% position closed at +2% (default)
- TP2: Full close at +4% (default)
- Uses `strategy.exit()` with limit orders based on entry price
6. **⏱️ Reentry Cooldown:**
- After TP2 or weak trend exit, system enforces a 1-bar delay before reentry
- Avoids frequent churn in flat or noisy environments
7. **📋 Real-Time Dashboard (Optional):**
- Displays live trade status, PnL metrics, TP1/TP2 hit status, bars since entry, win rate %, and profit factor
- Color-coded background to highlight active trade direction (green for long, red for short)
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⚙️ HOW TO USE
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1. Load on a 1H chart of a crypto asset with good liquidity (e.g., BTC, ETH, LINK)
2. Toggle between \"Long Only\", \"Short Only\", or \"Both\" in the settings
3. Use default TP1/TP2 percentages, or tune them for the asset’s volatility
4. Observe trade execution and live stats on the optional dashboard
5. Review the bar coloring for EWO trend bias confirmation
> Stop-loss logic is not included. This strategy assumes exits occur at TP2 or on trend/momentum failure.
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⚖️ TRADINGVIEW COMPLIANCE & USAGE DISCLAIMER
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This strategy does **not repaint**, is fully compatible with **TradingView backtesting**, and adheres to all known Pine Script execution rules.
⚠️ **Disclaimer:** This script is for educational purposes only and does not constitute financial advice. Trading cryptocurrencies involves significant risk. Always test strategies on a demo account and consult with a financial advisor before live trading.
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🧪 CONCLUSION
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The **Hyperion Crypto Matrix** is not a mashup—it’s a **modular, optimized, logic-driven system** crafted for real-world crypto trading. Every component has been tuned for function, not fluff. Whether you're backtesting or live trading, this system is designed to give you **structured, actionable edge** with live feedback every step of the way.
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Cerca negli script per "bar"
Gradient Sniper Elite🧠 Gradient Sniper Elite — Precision Trend Detection and Tactical Trade Execution for Crypto
Gradient Sniper Elite is a high-performance crypto trend strategy engineered for accuracy, adaptability, and smart execution on the 1-hour timeframe. This script is not just a mashup — it's a purpose-built system that combines trend, momentum, and volume filters in a structured and non-repainting framework designed for optimal entry and exit timing.
🔍 What Makes It Original?
This strategy combines several proven concepts into a unified, precision-calibrated trade engine:
✅ ZLEMA Gradient Filter: A slope-based trend filter that captures the direction and strength of momentum shifts without repainting.
✅ TEMA Confirmation: Triple EMA logic confirms trend acceleration or exhaustion by analyzing layered EMA cross-smoothing.
✅ RMI-Based Trend Direction: Replaces traditional RSI with a Relative Momentum Index (RMI), which smooths price momentum and avoids lag.
✅ ROC & Smoothed CCI: Dual momentum filters ensure that trades align with both velocity and structure of price moves.
✅ Volume Spike Filter: Filters out false breakouts and manipulation by confirming entries only during statistically significant volume surges.
✅ TP1/TP2 Split Take Profit Logic: 50% partial exit at TP1 and full exit at TP2. Ensures flexible profit-taking while maximizing trend continuation gains.
✅ Trend Weakness Exit: Trades are exited cleanly when the trend begins to weaken (as confirmed by RMI flip), preventing overstay and drawdown.
✅ 1-Bar Reversal Delay: The system enforces a 1-bar delay between a trade closure and any potential reversal entry, ensuring clean trend reversals and realistic live trading behavior.
✅ No Stop Loss: This strategy does not use a stop loss. Instead, it exits trades based on trend weakness or TP2 being hit. This avoids premature exits in volatile crypto environments, while maintaining controlled and dynamic trade management logic.
⚙️ How It Works
This strategy uses multi-layered confirmation:
Trend Structure
ZLEMA Gradient: Captures the slope of price action.
White Line + Fast/Slow Tether Lines: Define macro trend structure and act as dynamic S/R filters.
Momentum Alignment
Rate of Change (ROC): Measures directional velocity.
Smoothed CCI: Refines entry timing within the trend.
TEMA: Adds second-layer trend confirmation.
Volume Confirmation
Entry signals are validated by detecting relative volume spikes compared to a moving average baseline, avoiding entries on low-volume or fake breakouts.
Trade Management
Dynamic take-profits (TP1/TP2).
Immediate exit on trend weakening.
No same-bar entry/exit — reversal entries are delayed until after full exit confirmation.
No stop loss — trade management is handled via trend logic and take profit levels.
📊 Dashboard Overview
Gradient Sniper Elite includes a built-in dashboard in the top-right corner of the chart. It dynamically updates on each bar and shows:
📍 Position: Displays "Long", "Short", or "Flat" depending on the active trade
💰 Entry Price: The exact price where the trade was entered
📈 Unrealized %: Current profit/loss as a percentage
💵 Unrealized $: Estimated PnL in dollars, scaled to your backtest capital
📊 Trades / Win Rate: Live counter for total trades, win/loss count, and win rate
🎯 TP1 Hit / TP2 Hit: Shows ✅ or ❌ depending on whether each target level was reached during the current trade
This dashboard helps you monitor trade status, track live performance, and validate signal behavior in real time — all without repainting or relying on external tools.
📈 How to Use
Timeframe: Optimized for the 1-hour timeframe, but adaptable.
Asset Class: Primarily built for crypto markets, especially fast-moving alts like AVAX, LINK, QNT, etc.
Trade Mode: Supports long and short trades with clean reversal logic.
Dashboard: Live stats including position status, TP1/TP2 hit, win rate, and real-time PnL tracking.
Backtest Ready: Built with full compliance to TradingView backtest engine — results are realistic and match live-bar behavior.
⚠️ No Repainting — No Guesswork
Every element in this script is designed to work with confirmed bar data only. There is zero forward-looking logic. This makes Gradient Sniper Elite fully compatible with both backtesting and live algo execution.
🧩 Why This Isn’t Just a Mashup
Each indicator in this strategy has a specific role:
ZLEMA: Core trend slope engine.
TEMA: Trend reinforcement.
RMI: Directional decision layer.
CCI & ROC: Entry timing refinement.
Volume Filter: Risk filtering.
They’re not merged randomly, but combined in sequence to eliminate noise and optimize entries.
📌 Disclaimer
This script is for informational and educational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. Always do your own research and use appropriate risk management when trading. Past performance does not guarantee future results.
Multi-EMA Crossover StrategyMulti-EMA Crossover Strategy
This strategy uses multiple exponential moving average (EMA) crossovers to identify bullish trends and execute long trades. The approach involves progressively stronger signals as different EMA pairs cross, indicating increasing bullish momentum. Each crossover triggers a long entry, and the intensity of bullish sentiment is reflected in the color of the bars on the chart. Conversely, bearish trends are represented by red bars.
Strategy Logic:
First Long Entry: When the 1-day EMA crosses above the 5-day EMA, it signals initial bullish momentum.
Second Long Entry: When the 3-day EMA crosses above the 10-day EMA, it confirms stronger bullish sentiment.
Third Long Entry: When the 5-day EMA crosses above the 20-day EMA, it indicates further trend strength.
Fourth Long Entry: When the 10-day EMA crosses above the 40-day EMA, it suggests robust long-term bullish momentum.
The bar colors reflect these conditions:
More blue bars indicate stronger bullish sentiment as more short-term EMAs are above their longer-term counterparts.
Red bars represent bearish conditions when short-term EMAs are below longer-term ones.
Example: Bitcoin Trading on a Daily Timeframe
Bullish Scenario:
Imagine Bitcoin is trading at $30,000 on March 31, 2025:
First Signal: The 1-day EMA crosses above the 5-day EMA at $30,000. This suggests initial upward momentum, prompting a small long entry.
Second Signal: A few days later, the 3-day EMA crosses above the 10-day EMA at $31,000. This confirms strengthening bullish sentiment; another long position is added.
Third Signal: The 5-day EMA crosses above the 20-day EMA at $32,500, indicating further upward trend development; a third long entry is executed.
Fourth Signal: Finally, the 10-day EMA crosses above the 40-day EMA at $34,000. This signals robust long-term bullish momentum; a fourth long position is entered.
Bearish Scenario:
Suppose Bitcoin reverses from $34,000 to $28,000:
The 1-day EMA crosses below the 5-day EMA at $33,500.
The 3-day EMA dips below the 10-day EMA at $32,000.
The 5-day EMA falls below the 20-day EMA at $30,000.
The final bearish signal occurs when the 10-day EMA drops below the 40-day EMA at $28,000.
The bars turn increasingly red as bearish conditions strengthen.
Advantages of This Strategy:
Progressive Confirmation: Multiple crossovers provide layered confirmation of trend strength.
Visual Feedback: Bar colors help traders quickly assess market sentiment and adjust positions accordingly.
Flexibility: Suitable for trending markets like Bitcoin during strong rallies or downturns.
Limitations:
Lagging Signals: EMAs are lagging indicators and may react slowly to sudden price changes.
False Breakouts: Crossovers in choppy markets can lead to whipsaws or false signals.
This strategy works best in trending markets and should be combined with additional risk management techniques, e.g., stop loss or optimal position sizes (Kelly Criterion).
Scalping Strategy Signal v2 by [INFINITYTRADER]Overview
This Pine Script (v6) implements a scalping strategy that uses higher timeframe data (default: 4H) to generate entry and exit signals, originally designed for the 15-minute timeframe with an option for 30-minute charts. The "Scalping Strategy Signal v2 by " integrates moving averages, RSI, volume, ATR, and candlestick patterns to identify trading opportunities. It features adjustable risk management with ATR-based stop-loss, take-profit, and trailing stops, plus dynamic position sizing based on user-set capital. Trades trigger only on the higher timeframe candle close (e.g., 4H) to limit activity within the same period. This closed-source script offers a structured scalping approach, blending multiple entry methods and risk controls for adaptability across market conditions.
What Makes It Unique
Unlike typical scalping scripts relying on single-indicator triggers (e.g., RSI alone or basic MA crossovers), this strategy combines four distinct entry methods—standard MA crossovers, RSI-based momentum shifts, trend-following shorts, and candlestick pattern logic—evaluated on a 4H timeframe for confirmation. This multi-layered design, paired with re-entry logic after losses and a mix of manual, ATR-based, and trailing exits, aims to balance trade frequency and reliability. The higher timeframe filter adds precision not commonly found in simpler scalping tools, while the 30-minute option enhances consistency by reducing noise.
How It Works
Timeframe Logic
Runs on a base timeframe (designed for 15-minute charts, with a 30-minute option) while pulling data from a user-chosen higher timeframe (default: 4H) for signal accuracy.
Limits entries to the close of each 4H candle, ensuring one trade per period to avoid over-trading in volatile conditions.
Indicators and Data
Moving Averages : Employs 21-period and 50-period simple moving averages on the higher timeframe to detect trends and signal entries/exits.
Volume : Requires volume to exceed 70% of its 20-period average on the higher timeframe for momentum confirmation.
RSI : Uses a 14-period RSI for overbought/oversold filtering and a 6-period RSI for precise entry timing.
ATR : Applies a 14-period Average True Range on the higher timeframe to set adaptive stop-loss and take-profit levels.
Candlestick Patterns : Analyzes consecutive green or red 4H bars for trend continuation signals.
Why These Indicators
The blend of moving averages, RSI, volume, ATR, and candlestick patterns forms a robust scalping framework. Moving averages establish trend context, RSI filters momentum and avoids extremes, volume confirms market activity, ATR adjusts risk to volatility, and candlestick patterns enhance entry timing with price action insights. Together, they target small, frequent moves in flat or trending markets, with the 4H filter reducing false signals common in lower-timeframe scalping.
Entry Conditions
Four entry methods are evaluated at the 4H candle close:
Standard Long Entry: Price crosses above the 21-period moving average, volume exceeds 70% of its 20-period average, and the 1H 14-period RSI is below 70—confirms uptrend momentum.
Special Long Entry: The 6-period RSI crosses above 23, price is more than 1.5 times the ATR from the 21-period moving average, and price exceeds its prior close—targets oversold bounces with a stop-loss at the 4H candle’s low.
Short Entries:
- RSI-Based: The 6-period RSI crosses below 68 with volume support—catches overbought pullbacks.
- Trend-Based: Price crosses below the 21-period moving average, volume is above 70% of its average, and the 1H 14-period RSI is above 30—confirms downtrends.
Red/Green Bar Logic: Two consecutive green 4H bars for longs or red 4H bars for shorts—uses candlestick patterns for continuation, with a tight stop-loss from the base timeframe candle.
Re-Entry Logic
Long : After a losing special long, triggers when the 6-period RSI crosses 27 and price crosses the 21-period moving average.
Short : After a losing short, triggers when the 6-period RSI crosses 50 and price crosses below the 21-period moving average.
Purpose: Offers recovery opportunities with stricter conditions.
Exit Conditions
Manual Exits: Longs close if the 21-period MA crosses below the 50-period MA or the 1H 14-period RSI exceeds 68; shorts close if the 21-period MA crosses above the 50-period MA or RSI drops below 25.
ATR-Based TP/SL: Stop-loss is entry price ± ATR × 1.5 (default); take-profit is ± ATR × 4 (default), checked at 4H close.
Trailing Stop: Adjusts ±6x ATR from peak/trough, closing if price retraces within 1x ATR.
Special/Tight SL: Special longs exit if price opens below the 4H candle’s low; 4th method entries use the base timeframe candle’s low/high, checked every bar.
Position Sizing
Bases trade value on user-set capital (default: 100 USDT), dividing by the higher timeframe close price for dynamic sizing.
Visualization
Displays a table at the bottom-right with current/previous signals, TP/SL levels, equity, trading pair, and trade size—color-coded for clarity (green for buy, red for sell).
Inputs
Initial Capital (USDT): Sets trade value (default: 100, min: 1).
ATR Stop-Loss Multiplier: Adjusts SL distance (default: 1.5, min: 1).
ATR Take-Profit Multiplier: Adjusts TP distance (default: 4, min: 1).
Higher Timeframe: Selects analysis timeframe (options: 1m, 5m, 15m, 30m, 1H, 4H, D, W; default: 4H).
Usage Notes
Intended Timeframe: Designed for 15-minute charts with 4H confirmation for precision and frequency; 30-minute charts improve consistency by reducing noise.
Backtesting: Adjust ATR multipliers and capital to match your asset’s volatility and risk tolerance.
Risk Management: Combines manual, ATR, and trailing exits—monitor to avoid overexposure.
Limitations: 4H candle-close dependency may delay entries in fast markets; RSI/volume filters can reduce trades in low-momentum periods.
Backtest Observations
Tested on BTC/USDT (4H higher timeframe, default settings: Initial Capital: 100 USDT, ATR SL: 1.5x, ATR TP: 4x) across market conditions, comparing 15-minute and 30-minute charts:
Bull Market (Jul 2023 - Dec 2023):
15-Minute: 277 long, 219 short; Win Rate: 42.74%; P&L: 108%; Drawdown: 1.99%; Profit Factor: 3.074.
30-Minute: 257 long, 215 short; Win Rate: 49.58%; P&L: 116.85%; Drawdown: 2.34%; Profit Factor: 3.14.
Notes: Moving average crossovers and green bar patterns suited this bullish phase; 30-minute improved win rate and P&L by filtering weaker signals.
Bear Market (Jan 2022 - Jun 2022):
15-Minute: 262 long, 211 short; Win Rate: 44.4%; P&L: 239.80%; Drawdown: 3.74%; Profit Factor: 3.419.
30-Minute: 250 long, 200 short; Win Rate: 52.22%; P&L: 258.77%; Drawdown: 5.34%; Profit Factor: 3.461.
Notes: Red bar patterns and RSI shorts thrived in the downtrend; 30-minute cut choppy reversals for better consistency.
Flat Market (Jan 2021 - Jun 2021):
15-Minute: 280 long, 208 short; Win Rate: 51.84%; P&L: 340.33%; Drawdown: 9.59%; Profit Factor: 2.924.
30-Minute: 270 long, 209 short; Win Rate: 55.11%; P&L: 315.42%; Drawdown: 7.21%; Profit Factor: 2.598.
Notes: High trade frequency and P&L showed strength in ranges; 30-minute lowered drawdown for better risk control.
Results reflect historical performance on BTC/USDT with default settings—users should test on their assets and timeframes. Past performance does not guarantee future results and is shared only to illustrate the strategy’s behavior.
Why It Works Well in Flat Markets
A "flat market" lacks strong directional trends, with price oscillating around moving averages, as in Jan 2021 - Jun 2021 for BTC/USDT. This strategy excels here because its crossover-based entries trigger frequently in tight ranges. In trending markets, an exit might not be followed by a new entry without a pullback, but flat markets produce multiple crossovers, enabling more trades. ATR-based TP/SL and trailing stops capture these small swings, while RSI and volume filters ensure momentum, driving high P&L and win rates.
Technical Details
Built in Pine Script v6 for TradingView compatibility.
Prevents overlapping trades with long/short checks.
Handles edge cases like zero division and auto-detects the trading pair’s base currency (e.g., BTC from BTCUSDT).
This strategy suits scalpers seeking structured entries and risk management. Test on 15-minute or 30-minute charts to match your style and market conditions.
RSI Pro+ (Bear market, financial crisis and so on EditionIn markets defined by volatility, fear, and uncertainty – the battlegrounds of bear markets and financial crises – you need tools forged in resilience. Introducing RSI Pro+, a strategy built upon a legendary indicator born in 1978, yet engineered with modern visual clarity to remain devastatingly effective even in the chaotic financial landscapes of 3078.
This isn't about complex algorithms predicting the unpredictable. It's about harnessing the raw, time-tested power of the Relative Strength Index (RSI) to identify potential exhaustion points and capitalize on oversold conditions. RSI Pro+ cuts through the noise, providing clear, actionable signals when markets might be poised for a relief bounce or reversal.
Core Technology (The 1978 Engine):
RSI Crossover Entry: The strategy initiates a LONG position when the RSI (default period 11) crosses above a user-defined low threshold (default 30). This classic technique aims to enter when selling pressure may be waning, offering potential entry points during sharp downturns or periods of consolidation after a fall.
Modern Enhancements (The 3078 Cockpit):
RSI Pro+ isn't just about the signal; it's about providing a professional-grade visual experience directly on your chart:
Entry Bar Highlight: A subtle background flash on the chart signals the exact bar where the RSI crossover condition is met, alerting you to potential entry opportunities.
Trade Bar Coloring: Once a trade is active, the price bars are subtly colored, giving you immediate visual confirmation that the strategy is live in the market.
Entry Price Line: A clear, persistent line marks your exact average entry price for the duration of the trade, serving as a crucial visual anchor.
Take Profit Line: Your calculated Take Profit target is plotted as a distinct line, keeping your objective clearly in sight.
Custom Entry Marker: A precise shape (▲) appears below the bar where the trade entry was actually executed, pinpointing the start of the position.
On-Chart Info Table (HUD): A clean, customizable Heads-Up Display appears when a trade is active, showing vital information at a glance:
Entry Price: Your position's average cost basis.
TP Target: The calculated price level for your Take Profit exit.
Current PnL%: Real-time Profit/Loss percentage for the open trade.
Full Customization: Nearly every aspect is configurable via the settings menu:
RSI Period & Crossover Level
Take Profit Percentage
Toggle ALL visual enhancements on/off individually
Position the Info Table wherever you prefer on the chart.
How to Use RSI Pro+:
Add to Chart: Apply the "RSI Pro+ (Bear market...)" strategy to your TradingView chart. Ensure any previous versions are removed.
Access Settings: Click the cogwheel icon (⚙️) next to the strategy name on your chart.
Configure Inputs (Crucial Step):
RSI Crossover Level: This is key. The default (30) targets standard oversold conditions. In severe downturns, you might experiment with lower levels (e.g., 25, 20) or higher ones (e.g., 40) depending on the asset and timeframe. Observe where RSI(11) typically bottoms out on your chart.
Take Profit Percentage (%): Define your desired profit target per trade (e.g., enter 0.5 for 0.5%, 1.0 for 1%). The default is a very small 0.11%.
RSI Period: While default is 11, you can adjust this (e.g., the standard 14).
Visual Enhancements: Enable or disable the visual features (background highlights, bar coloring, lines, markers, table) according to your preference using the checkboxes. Adjust table position.
Observe & Backtest: Watch how the strategy behaves on your chosen asset and timeframe. Use TradingView's Strategy Tester to analyze historical performance based on your settings. No strategy works perfectly everywhere; testing is essential.
Important Considerations:
Risk Management: This specific script version focuses on a Take Profit exit. It does not include an explicit Stop Loss. You MUST manage risk through appropriate position sizing, potentially adding a Stop Loss manually, or by modifying the script.
Oversold ≠ Reversal: An RSI crossover is an indicator of potential exhaustion, not a guarantee of a price reversal.
Fixed TP: A fixed percentage TP ensures small wins but may exit before larger potential moves.
Backtesting Limitations: Past performance does not guarantee future results.
RSI Pro+ strips away complexity to focus on a robust, time-honored principle, enhanced with modern visuals for the discerning trader navigating today's (and tomorrow's) challenging markets
Bollinger Bounce Reversal Strategy – Visual EditionOverview:
The Bollinger Bounce Reversal Strategy – Visual Edition is designed to capture potential reversal moves at price extremes—often termed “bounce points”—by using a combination of technical indicators. The strategy integrates Bollinger Bands, MACD, and volume analysis, and it provides rich on‑chart visual cues to help traders understand its signals and conditions. Additionally, the strategy enforces a maximum of 5 trades per day and uses fixed risk management parameters. This publication is intended for educational purposes and offers a systematic, transparent approach that you can further adjust to fit your market or risk profile.
How It Works:
Bollinger Bands:
A 20‑period simple moving average (SMA) and a user‑defined standard deviation multiplier (default 2.0) are used to calculate the Bollinger Bands.
When the price reaches or crosses these bands (i.e. falls below the lower band or rises above the upper band), it suggests that the price is in an extreme, potentially oversold or overbought, state.
MACD Filter:
The MACD (calculated with standard lengths, e.g. 12, 26, 9) provides momentum information.
For a bullish (long) signal, the MACD line should be above its signal line; for a bearish (short) signal, the MACD line should be below.
Volume Confirmation:
The strategy uses a 20‑period volume moving average to determine if current volume is strong enough to validate a signal.
A signal is confirmed only if the current volume is at or above a specified multiple (by default, 1.0×) of this moving average, ensuring that the move is supported by increased market participation.
Visual Cues:
Bollinger Bands and Fill: The basis (SMA), upper, and lower Bollinger Bands are plotted, and the area between the upper and lower bands is filled with a semi‑transparent color.
Signal Markers: When a long or short signal is generated, corresponding markers (labels) appear on the chart.
Background Coloring: The chart’s background changes color (green for long signals and red for short signals) on the bars where signals occur.
Information Table: An on‑chart table displays key indicator values (MACD, signal line, volume, average volume) and the number of trades executed that day.
Entry Conditions:
Long Entry:
A long trade is triggered when the previous bar’s close is below the lower Bollinger Band and the current bar’s close crosses above it, combined with a bullish MACD condition and strong volume.
Short Entry:
A short trade is triggered when the previous bar’s close is above the upper Bollinger Band and the current bar’s close crosses below it, with a bearish MACD condition and high volume.
Risk Management:
Daily Trade Limit: The strategy restricts trading to no more than 5 trades per day.
Stop-Loss and Take-Profit:
For each position, a stop loss is set at a fixed percentage away from the entry price (typically 2%), and a take profit is set to target a 1:2 risk-reward ratio (typically 4% from the entry price).
Backtesting Setup:
Initial Capital: $10,000
Commission: 0.1% per trade
Slippage: 1 tick per bar
These realistic parameters help ensure that backtesting results reflect the conditions of an average trader.
Disclaimer:
Past performance is not indicative of future results. This strategy is experimental and provided solely for educational purposes. It is essential to backtest extensively and paper trade before any live deployment. All risk management practices are advisory, and you should adjust parameters to suit your own trading style and risk tolerance.
Conclusion:
By combining Bollinger Bands, MACD, and volume analysis, the Bollinger Bounce Reversal Strategy – Visual Edition provides a clear, systematic method to identify potential reversal opportunities at price extremes. The added visual cues help traders quickly interpret signals and assess market conditions, while strict risk management and a daily trade cap help keep trading disciplined. Adjust and refine the settings as needed to better suit your specific market and risk profile.
EMA Crossover Strategy with Take Profit and Candle HighlightingStrategy Overview:
This strategy is based on the Exponential Moving Averages (EMA), specifically the EMA 20 and EMA 50. It takes advantage of EMA crossovers to identify potential trend reversals and uses multiple take-profit levels and a stop-loss for risk management.
Key Components:
EMA Crossover Signals:
Buy Signal (Uptrend): A buy signal is generated when the EMA 20 crosses above the EMA 50, signaling the start of a potential uptrend.
Sell Signal (Downtrend): A sell signal is generated when the EMA 20 crosses below the EMA 50, signaling the start of a potential downtrend.
Take Profit Levels:
Once a buy or sell signal is triggered, the strategy calculates multiple take-profit levels based on the range of the previous candle. The user can define multipliers for each take-profit level.
Take Profit 1 (TP1): 50% of the previous candle's range above or below the entry price.
Take Profit 2 (TP2): 100% of the previous candle's range above or below the entry price.
Take Profit 3 (TP3): 150% of the previous candle's range above or below the entry price.
Take Profit 4 (TP4): 200% of the previous candle's range above or below the entry price.
These levels are adjusted dynamically based on the previous candle's high and low, so they adapt to changing market conditions.
Stop Loss:
A stop-loss is set to manage risk. The default stop-loss is 3% from the entry price, but this can be adjusted in the settings. The stop-loss is triggered if the price moves against the position by this amount.
Trend Direction Highlighting:
The strategy highlights the bars (candles) with colors:
Green bars indicate an uptrend (when EMA 20 crosses above EMA 50).
Red bars indicate a downtrend (when EMA 20 crosses below EMA 50).
These visual cues help users easily identify the market direction.
Strategy Entries and Exits:
Entries: The strategy enters a long (buy) position when the EMA 20 crosses above the EMA 50 and a short (sell) position when the EMA 20 crosses below the EMA 50.
Exits: The strategy exits the positions at any of the defined take-profit levels or the stop-loss. Multiple exit levels provide opportunities to take profit progressively as the price moves in the favorable direction.
Entry and Exit Conditions in Detail:
Buy Entry Condition (Uptrend):
A buy position is opened when EMA 20 crosses above EMA 50, signaling the start of an uptrend.
The strategy calculates take-profit levels above the entry price based on the previous bar's range (high-low) and the multipliers for TP1, TP2, TP3, and TP4.
Sell Entry Condition (Downtrend):
A sell position is opened when EMA 20 crosses below EMA 50, signaling the start of a downtrend.
The strategy calculates take-profit levels below the entry price, similarly based on the previous bar's range.
Exit Conditions:
Take Profit: The strategy attempts to exit the position at one of the take-profit levels (TP1, TP2, TP3, or TP4). If the price reaches any of these levels, the position is closed.
Stop Loss: The strategy also has a stop-loss set at a default value (3% below the entry for long trades, and 3% above for short trades). The stop-loss helps to protect the position from significant losses.
Backtesting and Performance Metrics:
The strategy can be backtested using TradingView's Strategy Tester. The results will show how the strategy would have performed historically, including key metrics like:
Net Profit
Max Drawdown
Win Rate
Profit Factor
Average Trade Duration
These performance metrics can help users assess the strategy's effectiveness over historical periods and optimize the input parameters (e.g., multipliers, stop-loss level).
Customization:
The strategy allows for the adjustment of several key input values via the settings panel:
Take Profit Multipliers: Users can customize the multipliers for each take-profit level (TP1, TP2, TP3, TP4).
Stop Loss Percentage: The user can also adjust the stop-loss percentage to a custom value.
EMA Periods: The default periods for the EMA 50 and EMA 20 are fixed, but they can be adjusted for different market conditions.
Pros of the Strategy:
EMA Crossover Strategy: A classic and well-known strategy used by traders to identify the start of new trends.
Multiple Take Profit Levels: By taking profits progressively at different levels, the strategy locks in gains as the price moves in favor of the position.
Clear Trend Identification: The use of green and red bars makes it visually easier to follow the market's direction.
Risk Management: The stop-loss and take-profit features help to manage risk and optimize profit-taking.
Cons of the Strategy:
Lagging Indicators: The strategy relies on EMAs, which are lagging indicators. This means that the strategy might enter trades after the trend has already started, leading to missed opportunities or less-than-ideal entry prices.
No Confirmation Indicators: The strategy purely depends on the crossover of two EMAs and does not use other confirming indicators (e.g., RSI, MACD), which might lead to false signals in volatile markets.
How to Use in Real-Time Trading:
Use for Backtesting: Initially, use this strategy in backtest mode to understand how it would have performed historically with your preferred settings.
Paper Trading: Once comfortable, you can use paper trading to test the strategy in real-time market conditions without risking real money.
Live Trading: After testing and optimizing the strategy, you can consider using it for live trading with proper risk management in place (e.g., starting with a small position size and adjusting parameters as needed).
Summary:
This strategy is designed to identify trend reversals using EMA crossovers, with customizable take-profit levels and a stop-loss to manage risk. It's well-suited for traders looking for a systematic way to enter and exit trades based on clear market signals, while also providing flexibility to adjust for different risk profiles and trading styles.
3 EMA + RSI with Trail Stop [Free990] (LOW TF)This trading strategy combines three Exponential Moving Averages (EMAs) to identify trend direction, uses RSI to signal exit conditions, and applies both a fixed percentage stop-loss and a trailing stop for risk management. It aims to capture momentum when the faster EMAs cross the slower EMA, then uses RSI thresholds, time-based exits, and stops to close trades.
Short Explanation of the Logic
Trend Detection: When the 10 EMA crosses above the 20 EMA and both are above the 100 EMA (and the current price bar closes higher), it triggers a long entry signal. The reverse happens for a short (the 10 EMA crosses below the 20 EMA and both are below the 100 EMA).
RSI Exit: RSI crossing above a set threshold closes long trades; crossing below another threshold closes short trades.
Time-Based Exit: If a trade is in profit after a set number of bars, the strategy closes it.
Stop-Loss & Trailing Stop: A fixed stop-loss based on a percentage from the entry price guards against large drawdowns. A trailing stop dynamically tightens as the trade moves in favor, locking in potential gains.
Detailed Explanation of the Strategy Logic
Exponential Moving Average (EMA) Setup
Short EMA (out_a, length=10)
Medium EMA (out_b, length=20)
Long EMA (out_c, length=100)
The code calculates three separate EMAs to gauge short-term, medium-term, and longer-term trend behavior. By comparing their relative positions, the strategy infers whether the market is bullish (EMAs stacked positively) or bearish (EMAs stacked negatively).
Entry Conditions
Long Entry (entryLong): Occurs when:
The short EMA (10) crosses above the medium EMA (20).
Both EMAs (short and medium) are above the long EMA (100).
The current bar closes higher than it opened (close > open).
This suggests that momentum is shifting to the upside (short-term EMAs crossing up and price action turning bullish). If there’s an existing short position, it’s closed first before opening a new long.
Short Entry (entryShort): Occurs when:
The short EMA (10) crosses below the medium EMA (20).
Both EMAs (short and medium) are below the long EMA (100).
The current bar closes lower than it opened (close < open).
This indicates a potential shift to the downside. If there’s an existing long position, that gets closed first before opening a new short.
Exit Signals
RSI-Based Exits:
For long trades: When RSI exceeds a specified threshold (e.g., 70 by default), it triggers a long exit. RSI > short_rsi generally means overbought conditions, so the strategy exits to lock in profits or avoid a pullback.
For short trades: When RSI dips below a specified threshold (e.g., 30 by default), it triggers a short exit. RSI < long_rsi indicates oversold conditions, so the strategy closes the short to avoid a bounce.
Time-Based Exit:
If the trade has been open for xBars bars (configurable, e.g., 24 bars) and the trade is in profit (current price above entry for a long, or current price below entry for a short), the strategy closes the position. This helps lock in gains if the move takes too long or momentum stalls.
Stop-Loss Management
Fixed Stop-Loss (% Based): Each trade has a fixed stop-loss calculated as a percentage from the average entry price.
For long positions, the stop-loss is set below the entry price by a user-defined percentage (fixStopLossPerc).
For short positions, the stop-loss is set above the entry price by the same percentage.
This mechanism prevents catastrophic losses if the market moves strongly against the position.
Trailing Stop:
The strategy also sets a trail stop using trail_points (the distance in price points) and trail_offset (how quickly the stop “catches up” to price).
As the market moves in favor of the trade, the trailing stop gradually tightens, allowing profits to run while still capping potential drawdowns if the price reverses.
Order Execution Flow
When the conditions for a new position (long or short) are triggered, the strategy first checks if there’s an opposite position open. If there is, it closes that position before opening the new one (prevents going “both long and short” simultaneously).
RSI-based and time-based exits are checked on each bar. If triggered, the position is closed.
If the position remains open, the fixed stop-loss and trailing stop remain in effect until the position is exited.
Why This Combination Works
Multiple EMA Cross: Combining 10, 20, and 100 EMAs balances short-term momentum detection with a longer-term trend filter. This reduces false signals that can occur if you only look at a single crossover without considering the broader trend.
RSI Exits: RSI provides a momentum oscillator view—helpful for detecting overbought/oversold conditions, acting as an extra confirmation to exit.
Time-Based Exit: Prevents “lingering trades.” If the position is in profit but failing to advance further, it takes profit rather than risking a trend reversal.
Fixed & Trailing Stop-Loss: The fixed stop-loss is your safety net to cap worst-case losses. The trailing stop allows the strategy to lock in gains by following the trade as it moves favorably, thus maximizing profit potential while keeping risk in check.
Overall, this approach tries to capture momentum from EMA crossovers, protect profits with trailing stops, and limit risk through both a fixed percentage stop-loss and exit signals from RSI/time-based logic.
Price Action StrategyThe **Price Action Strategy** is a tool designed to capture potential market reversals by utilizing classic reversal candlestick patterns such as Hammer, Shooting Star, Doji, and Pin Bar near dinamic support and resistance levels.
***Note to moderators
- The moving average was removed from the strategy because it was not suitable for the strategy and not participating in the entry or exit criteria.
- The moving average length has been replaced/renamed by the support/resistance lenght.
- The bullish engulfing and bearish engulfing patterns were also removed because in practice they were not working as entry criteria, since the candle price invariably closes far from the support/resistance level even considering the sensitivity range. There was no change in the backtest results after removing these patterns.
### Key Elements of the Strategy
1. Support and Resistance Levels
- Support and resistance are pivotal price levels where the asset has previously struggled to move lower (support) or higher (resistance). These levels act as psychological barriers where buying interest (at support) or selling interest (at resistance) often increases, potentially causing price reversals.
- In this strategy, support is calculated as the lowest low and resistance as the highest high over a 16-period length. When the price nears these levels, it indicates possible zones for a reversal, and the strategy looks for specific candlestick patterns to confirm an entry.
2. Candlestick Patterns
- This strategy uses classic reversal patterns, including:
- **Hammer**: Indicates a buy signal, suggesting rejection of lower prices.
- **Shooting Star**: Suggests a sell signal, showing rejection of higher prices.
- **Doji**: Reflects indecision and potential reversal.
- **Pin Bar**: Represents price rejection with a long shadow, often signaling a reversal.
By combining these reversal patterns with the proximity to dinamic support or resistance levels, the strategy aims to capture potential reversal movements.
3. Sensitivity Level
- The sensitivity parameter adjusts the acceptable range (Default 0.018 = 1.8%) around support and resistance levels within which reversal patterns can trigger trades (i.e. the closing price of the candle must occur within the specified range defined by the sensitivity parameter). A higher sensitivity value expands this range, potentially leading to less accurate signals, as it may allow for more false positives.
4. Entry Criteria
- **Buy (Long)**: A Hammer, Doji, or Pin Bar pattern near support.
- **Sell (Short)**: A Shooting Star, Doji, or Pin Bar near resistance.
5. Exit criteria
- Take profit = 9.5%
- Stop loss = 16%
6. No Repainting
- The Price Action Strategy is not subject to repainting.
7. Position Sizing by Equity and risk management
- This strategy has a default configuration to operate with 35% of the equity. The stop loss is set to 16% from the entry price. This way, the strategy is putting at risk about 16% of 35% of equity, that is, around 5.6% of equity for each trade. The percentage of equity and stop loss can be adjusted by the user according to their risk management.
8. Backtest results
- This strategy was subjected to deep backtest and operations in replay mode on **1000000MOGUSDT.P**, with the inclusion of transaction fees at 0.12% and slipagge of 5 ticks, and the past results have shown consistent profitability. Past results are no guarantee of future results. The strategy's backtest results may even be due to overfitting with past data.
9. Chart Visualization
- Support and resistance levels are displayed as green (support) and red (resistance) lines.
- Only the candlestick pattern that generated the entry signal to triger the trade is identified and labeled on the chart. During the operation, the occurrence of new Doji, Pin Bar, Hammer and Shooting Star patterns will not be demonstrated on the chart, since the exit criteria are based on percentage take profit and stop loss.
Doji:
Pin Bar and Doji
Shooting Star and Doji
Hammer
10. Default settings
Chart timeframe: 20 min
Moving average lenght: 16
Sensitivity: 0.018
Stop loss (%): 16
Take Profit (%): 9.5
BYBIT:1000000MOGUSDT.P
InvoTrading - Swing High and Low with BreakoutInvoTrading - Swing High and Low with Breakout Strategy
This strategy is designed to identify trading opportunities based on swing highs and lows, combined with breakout confirmations. It utilizes pivot points to detect potential reversal levels and initiates trades when the price breaks out of these levels under specific conditions.
Key Features:
- Pivot Points: The strategy calculates pivot highs and lows using customizable left and right bars. These pivots represent potential swing points in the market.
- Breakout Detection: It monitors for breakouts above pivot highs (Bullish Break of Structure - BOS) and below pivot lows (Bearish Break of Structure).
- Strong Swings (Optional): You can enable "Strong Swing" detection, which considers only those pivots where the price attempted but failed to break the pivot level, indicating stronger support or resistance.
- Trade Management: The strategy sets entry points, stop losses, and take profits based on a customizable risk-reward ratio.
- Trade Table: An optional table displays recent trades, including their status (Pending, Success, or Failed).
- Visual Aids: Customizable colors and line settings help visualize pivot points, strong swings, and breakout candles on the chart.
---
Settings:
1. Pivot Settings:
- Left Bars: Number of bars to the left of the pivot point (default: 5).
- Right Bars: Number of bars to the right of the pivot point (default: 5).
- Pivot Based On: Choose between "High/Low" or "Close" prices for pivot calculations.
2. Color Settings:
- Pivot High Color: Color for Pivot High markers (default: Blue).
- Pivot Low Color: Color for Pivot Low markers (default: Red).
- Strong Swing High Color: Color for Strong Swing High markers (default: Black).
- Strong Swing Low Color: Color for Strong Swing Low markers (default: Black).
- Breakout Candle Color (BOS): Color for the breakout candle (default: Yellow).
3. Line Settings:
- Line Width: Width of the pivot lines (default: 1).
- Line Length (Bars): Length of the pivot lines in bars (default: 20).
- Maximum Number of Lines to Keep: Limits the number of pivot lines displayed to avoid clutter (default: 100).
4. Trade Settings:
- Enable Buy and Sell Signals: Activates trade entries and exits on the chart (default: False).
- Show Trades Table: Displays a table summarizing recent trades (default: False).
- Risk-Reward Ratio: Sets the desired risk-reward ratio for trades (default: 1.5).
- Number of Trades to Display: Maximum number of recent trades shown in the table (default: 5).
- Enable Strong Trade: Only triggers trades when a "Strong Swing" is detected (default: False).
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How It Works:
- Pivot Detection: The script identifies pivot highs and lows based on the specified number of left and right bars.
- Strong Swings: If enabled, the strategy marks a pivot as a strong swing if the price attempts to break it but closes back within the pivot level.
- Breakout Confirmation:
- Long Entry: Occurs when the price closes above a pivot high, signaling a bullish breakout. If "Strong Trade" is enabled, it must be a strong swing high.
- Short Entry: Occurs when the price closes below a pivot low, signaling a bearish breakout. If "Strong Trade" is enabled, it must be a strong swing low.
- Trade Execution: Upon a valid breakout, the strategy places a trade with a stop loss set at the previous candle's low (for longs) or high (for shorts). The take profit is calculated based on the specified risk-reward ratio.
- Trade Monitoring: The strategy updates the status of each trade (Pending, Success, Failed) based on whether the take profit or stop loss is hit.
- Visualization: Breakout candles are highlighted, and pivot lines are drawn with customizable colors and widths. Strong swings are marked distinctly.
---
Usage Tips:
- Backtesting: Before using this strategy live, backtest it on different time frames and instruments to assess its performance.
- Customization: Adjust the pivot settings and risk-reward ratio to match your trading style and the volatility of the instrument you're trading.
- Risk Management: Always use proper risk management techniques, even though the strategy calculates stop losses and take profits.
ICT Indicator with Paper TradingThe strategy implemented in the provided Pine Script is based on **ICT (Inner Circle Trader)** concepts, particularly focusing on **order blocks** to identify key levels for potential reversals or continuations in the market. Below is a detailed description of the strategy:
### 1. **Order Block Concept**
- **Order blocks** are price levels where large institutional orders accumulate, often leading to a reversal or continuation of price movement.
- In this strategy, **order blocks** are identified when:
- The high of the current bar crosses above the high of the previous bar (for bullish order blocks).
- The low of the current bar crosses below the low of the previous bar (for bearish order blocks).
### 2. **Buy and Sell Signal Generation**
The core of the strategy revolves around identifying the **breakout** of order blocks, which is interpreted as a signal to either enter or exit trades:
- **Buy Signal**:
- Generated when the closing price crosses **above** the last identified bullish order block (i.e., the highest point during the last upward crossover of highs).
- This signals a potential upward trend, and the strategy enters a long position.
- **Sell Signal**:
- Generated when the closing price crosses **below** the last identified bearish order block (i.e., the lowest point during the last downward crossover of lows).
- This signals a potential downward trend, and the strategy exits any open long positions.
### 3. **Strategy Execution**
The strategy is executed using the `strategy.entry()` and `strategy.close()` functions:
- **Enter Long Positions**: When a buy signal is generated, the strategy opens a long position (buying).
- **Exit Positions**: When a sell signal is generated, the strategy closes the long position.
### 4. **Visual Indicators on the Chart**
To make the strategy easier to follow visually, buy and sell signals are marked directly on the chart:
- **Buy signals** are indicated with a green upward-facing triangle above the bar where the signal occurred.
- **Sell signals** are indicated with a red downward-facing triangle below the bar where the signal occurred.
### 5. **Key Elements of the Strategy**
- **Trend Continuation and Reversals**: This strategy is attempting to capture trends based on the breakout of important price levels (order blocks). When the price breaks above or below a significant order block, it is expected that the market will continue in that direction.
- **Order Block Strength**: Order blocks are considered strong areas where price action could reverse or accelerate, based on how institutional investors place large orders.
### 6. **Paper Trading**
This script uses **paper trading** to simulate trades without actual money being involved. This allows users to backtest the strategy, seeing how it would have performed in historical market conditions.
### 7. **Basic Strategy Flow**
1. **Order Block Identification**: The script constantly monitors price movements to detect bullish and bearish order blocks.
2. **Buy Signal**: If the closing price crosses above the last order block high, the strategy interprets it as a sign of bullish momentum and enters a long position.
3. **Sell Signal**: If the closing price crosses below the last order block low, it signals a bearish momentum, and the strategy closes the long position.
4. **Visual Representation**: Buy and sell signals are displayed on the chart for easy identification.
### **Advantages of the Strategy:**
- **Simple and Clear Rules**: The strategy is based on clearly defined rules for identifying order blocks and trade signals.
- **Effective for Trend Following**: By focusing on breakouts of order blocks, this strategy attempts to capture strong trends in the market.
- **Visual Aids**: The plot of buy/sell signals helps traders to quickly see where trades would have been placed.
### **Limitations:**
- **No Shorting**: This strategy only enters long positions (buying). It does not account for shorting opportunities.
- **No Risk Management**: There are no built-in stop losses, trailing stops, or profit targets, which could expose the strategy to large losses during adverse market conditions.
- **Whipsaws in Range Markets**: The strategy could produce false signals in sideways or choppy markets, where breakouts are short-lived and prices quickly reverse.
### **Overall Strategy Objective:**
The goal of the strategy is to enter into long positions when the price breaks above a significant order block, and exit when it breaks below. The strategy is designed for trend-following, with the assumption that price will continue in the direction of the breakout.
Let me know if you'd like to enhance or modify this strategy further!
Trailing Take Profit - Close Based📝 Description
This script demonstrates a new approach to the trailing take profit.
Trailing Take Profit is a price-following technique. When used, instead of setting a limit order for the take profit target exiting from your position at the specified price, a stop order is conditionally set when the take profit target is reached. Then, the stop price (a.k.a trailing price), is placed below the take profit target at a distance defined by the user percentagewise. On regular time intervals, the stop price gets updated by following the "Trail Barrier" price (high by default) upwards. When the current price hits the stop price you exit the trade. Check the chart for more details.
This script demonstrates how to implement the close-based Trailing Take Profit logic for long positions, but it can also be applied for short positions if the logic is "reversed".
📢 NOTE
To generate some entries and showcase the "Trailing Take Profit" technique, this script uses the crossing of two moving averages. Please keep in mind that you should not relate the Backtesting results you see in the "Strategy Tester" tab with the success of the technique itself.
This is not a complete strategy per se, and the backtest results are affected by many parameters that are outside of the scope of this publication. If you choose to use this new approach of the "Trailing Take Profit" in your logic you have to make sure that you are backtesting the whole strategy.
⚔️ Comparison
In contrast to my older "Trailing Take Profit" publication where the trailing take profit implementation was tick-based, this new approach is close-based, meaning that the update of the stop price occurs at the bar close instead of every tick.
While comparing the real-time results of the two implementations is like comparing apples to oranges, because they have different dynamic behavior, the new approach offers better consistency between the backtesting results and the real-time results.
By updating the stop price on every bar close, you do not rely on the backtester assumptions anymore (check the Reasoning section below for more info).
The new approach resembles the conditional "Trailing Exit" technique, where the condition is true when the current price crosses over the take profit target. Then, the stop order is placed at the trailing price and it gets updated on every bar close to "follow" the barrier price (high). On the other hand, the older tick-based approach had more "tight" dynamics since the trailing price gets updated on every tick leaving less room for price fluctuations by making it more probable to reach the trailing price.
🤔 Reasoning
This new close-based approach addresses several practical issues the older tick-based approach had. Those issues arise mainly from the technicalities of the TV Backtester. More specifically, due to the assumptions the Broker Emulator makes for the price action of the history bars, the backtesting results in the TV Backtester are exaggerated, and depending on the timeframe, the backtesting results look way better than they are in reality.
The effect above, and the inability to reason about the performance of a strategy separated people into two groups. Those who never use this feature, because they couldn't know for sure the actual effect it might have in their strategy, (even if it turned out to be more profitable) and those who abused this type of "repainting" behavior to show off, and hijack some boosts from the community by boasting about the "fake" results of their strategies.
Even if there are ways to evaluate the effectiveness of the tick-based approach that is applied in an existing strategy (this is out of the topic of this publication), it requires extra effort to do the analysis. Using this closed-based approach we can have more predictable results, without surprises.
⚠️ Caveats
Since this approach updates the trailing price on bar close, you must wait for at least one bar to close after the price crosses over the take profit target.
Self Optimizing ROC [Starbots]Self Optimizing Rate of Change (ROC) Strategy. (non-repainting)
Script constantly tests 15 different ROC parameter combinations for maximum profitability and trades based on the best performing combination.
You will notice that signal lines switch after a bar close sometimes, this is when the strategy optimizes to the better combination and change plots, strategy is dynamic.
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The Rate-of-Change (ROC) indicator, which is also referred to as Momentum, is a pure momentum oscillator that measures the percent change in price from one period to the next. The ROC calculation compares the current price with the price “n” periods ago. The plot forms an oscillator that fluctuates above and below the zero line as the rate of change moves from positive to negative. As a momentum oscillator, ROC signals include centerline crossovers, divergences, and overbought-oversold readings.
ROC = (Close - Close n periods ago) / (Close n periods ago) * 100
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The logic of self - optimizing:
This script is always backtesting 15 different combinations of ROC settings in the background and saves the net. profit gained for every single one of them, then strategy selects and use the best performing combination of settings currently available for you to trade.
It's recalculating on every bar close - if one of the parameters starts performing better than others - have a higher net profit gain (it's literally like running 15 backtests with different settings in the background) strategy switches to that parameter and continues trading like that until one of the other indicator parameters starts performing better again and switches to that settings.
We are optimizing our strategy based on 15 different 'lengths' or also called 'periods' of ROC.
Inputs (ROC period) : (you don't need to change them, you have a nice wide variety of periods)
🔴Roc (default=9) = 5
🟢Roc2 = 6
🔵Roc3 = 7
🟡Roc4 = 8
🟣Roc5 = 9
🟠Roc6 = 10
🔴Roc7 = 11
🟢Roc8 = 12
🔵Roc9 = 13
🟡Roc10 = 14
🟣Roc11 = 15
🟠Roc12 = 16
🟡Roc13 = 17
🟣Roc14 = 18
🟠Roc15 = 20
Backtester in the background works like this:
backtest ROC1 => save net. profit
backtest ROC2 => save net. profit ;
backtest ROC3 => save net. profit ;
..........
..........
backtest ROC15 => save net. profit ;
=>
It will backtest 15 different ROC parameters and save their profits.
Your strategy then trades based on the best performing (highest net.profit) ROC Setting currently available. It will check the calculations and backtest them on every new bar close - it's like running 15 strategies at time, and manually selecting the best performing one.
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If you wish to use it as INDICATOR - turn on 'Recalculate after every tick' in Properties tab to have this script updating constantly and use it as a normal Indicator tool for manual trading.
-- Noise Filter - This will punish the tiny trades made by certain parameters and give more advantage to big average trades. It's basically normal fee calculation, it will deduct 0.xx % fee from every trade when optimizing. You usually want it to have the same number as your fees on exchange. Large number will choose big long swing trades, small number will prioritize small scalping trades.
-- Turn on ROC Combination Profits and spot the worst/best performing combination. You can change periods to get the best performance after checking this table stats.
-- Backtesting Range - backtest within your desired time window. Example: 'from 01 / 01 /2020 to 01 / 01 /2023'.
-- Optimizing range - you can decrease the amount of bars/data for optimizing script. This way you can keep it up to date to more recent market by selecting optimizing range to optimize it just from the recent 3-6months of data for example. Strategy before this selected range will normally trade (backtest) based on the first ROC period ( 'Roc(default=9)' Input) parameter in your menu if you have Optimizing Range turned on.
**** I recommend 'Optimizing Range' to be turned off, use max amount of available bars in your history for optimization script.
-- Strategy is trading on the bar close without repaint. You can trade Long-Sell or Long- Short. Alerts available, insert webhook messages.
-- Turn on Profit Calendar for better overview of how your strategy performs monthly/annualy
-- Recommended ROC periods: from 5 to 24.
-- Recommended Sources : close, hlc3, hlcc4
-- Recommended Chart Timeframe : 4h +
-- Notes window : add your custom comments here or save your webhook messages inside here
-- Trading Session: in a session, you have to specify the time range for every day. It will trade only within this window and close trades when it's out. Session from 9am to 5pm will look like that: 0900-1700 or 7am to 4:30pm 0700-1630. After the colon, you can specify days of the week for your trading session. 1234567 trading all days, 23456 – Monday to Friday ('1 is Sunday here'). 0000-0000:1234567 by default will trade every day nonstop. 00.00am to 00.00pm and 1234567 every day of the week for example - Cryptocurrencies.
This script is simple to use for any trader as it saves a lot of time for searching good parameters on your own. It's self-optimizing and adjusting to the markets on the go.
[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!)
Strategy Myth-Busting #11 - TrendMagic+SqzMom+CDV - [MYN]This is part of a new series we are calling "Strategy Myth-Busting" where we take open public manual trading strategies and automate them. The goal is to not only validate the authenticity of the claims but to provide an automated version for traders who wish to trade autonomously.
Our 11th one is an automated version of the "Magic Trading Strategy : Most Profitable Indicator : 1 Minute Scalping Strategy Crypto" strategy from "Fx MENTOR US" who doesn't make any official claims but given the indicators he was using, it looked like on the surface that this might actually work. The strategy author uses this on the 1 minute and 3 minute timeframes on mostly FOREX and Heiken Ashi candles but as the title of his strategy indicates is designed for Crypto. So who knows..
To backtest this accurately and get a better picture we resolved the Heiken Ashi bars to standard candlesticks . Even so, I was unable to sustain any consistency in my results on either the 1 or 3 min time frames and both FOREX and Crypto. 10000% Busted.
This strategy uses a combination of 3 open-source public indicators:
Trend Magic by KivancOzbilgic
Squeeze Momentum by LazyBear
Cumulative Delta Volume by LonesomeTheBlue
Trend Magic consists of two main indicators to validate momentum and volatility. It uses an ATR like a trailing Stop to determine the overarching momentum and CCI as a means to validate volatility. Together these are used as the primary indicator in this strategy. When the CCI is above 0 this is confirmation of a volatility event is occurring with affirmation based upon current momentum (ATR).
The CCI volatility indicator gets confirmation by the the Cumulative Delta Volume indicator which calculates the difference between buying and selling pressure. Volume Delta is calculated by taking the difference of the volume that traded at the offer price and the volume that traded at the bid price. The more volume that is traded at the bid price, the more likely there is momentum in the market.
And lastly the Squeeze Momentum indicator which uses a combination of Bollinger Bands, Keltner Channels and Momentum are used to again confirm momentum and volatility. During periods of low volatility, Bollinger bands narrow and trade inside Keltner channels. They can only contract so much before it can’t contain the energy it’s been building. When the Bollinger bands come back out, it explodes higher. When we see the histogram bar exploding into green above 0 that is a clear confirmation of increased momentum and volatile. The opposite (red) below 0 is true when there are low periods. This indicator is used as a means to really determine when there is premium selling plays going on leading to big directional movements again confirming the positive or negative momentum and volatility direction.
If you know of or have a strategy you want to see myth-busted or just have an idea for one, please feel free to message me.
Trading Rules
1 - 3 min candles
FOREX or Crypto
Stop loss at swing high/low | 1.5 risk/ratio
Long Condition
Trend Magic line is Blue ( CCI is above 0) and above the current close on the bar
Squeeze Momentum's histogram bar is green/lime
Cumulative Delta Volume line is green
Short Condition
Trend Magic line is Red ( CCI is below 0) and below the current close on the bar
Squeeze Momentum's histogram bar is red/maroon
Cumulative Delta Volume line is peach
Alex trading stragedyOverview
This script, named "ALEX TRADING STRATEGY", is a technical trading strategy designed for new investing groups. It uses a combination of various technical indicators to identify potential buying and selling opportunities in the market. The script includes the Relative Strength Index (RSI), Simple Moving Averages (SMA), Exponential Moving Averages (EMA), and Higher High Lower Low (HHLL) strategies to create a complete trading solution.
The user can change the position from long to short in the Input Settings. The script uses bar colors to indicate the current trading position. The script also has exit strategies to help manage the open trades. The user can also set the period for the various indicators used in the strategy.
The script provides various technical indicators and entry/exit signals to make the trading decision easier for the user. It also includes pivot lines, resistance and support levels to help the user make a more informed decision.
This Pine script implements a multi-indicator trading strategy that combines several technical analysis techniques for making trading decisions. The script uses the Relative Strength Index (RSI) to determine overbought and oversold conditions in the market and plots the RSI values on the chart. The RSI values above 70 are considered overbought and plotted as red upward triangles, while the RSI values below 30 are considered oversold and plotted as green downward triangles.
The script also calculates Simple Moving Averages (SMAs) with the user-defined period and plots them along with the Exponential Moving Averages (EMAs) of 20, 50, and 100 periods. Based on the crossover of the close price and the moving averages, the script enters long or short trades. The script sets the trade exit conditions as the low or high crossing the lower or upper band, respectively.
In addition to the moving average crossover, the script uses the highest high and lowest low over a user-defined period to determine long and short entries. The script plots the long and short conditions on the chart as green upward and red downward triangles, respectively. The script allows the user to switch between long and short trades by changing the input settings.
Finally, the script changes the bar colors based on the trade direction, with green bars indicating a long trade, red bars indicating a short trade, and blue bars indicating no trade. Overall, this Pine script provides a comprehensive trading strategy that combines several technical analysis techniques to make informed trading decisions.
HOW TO USE
Input Settings: In the Input Settings section, you can change the long to short position. You can also change the period value (default is 10) used to calculate the Simple Moving Average (SMA) for the Keltner channel.
Indicators: The script uses RSI (Relative Strength Index) with 14 periods as well as multiple EMAs (Exponential Moving Averages) with periods 20, 50, and 100 to help in making trading decisions.
Entry Signals: The script uses two main entry signals: (1) Keltner Channel and (2) HHLL (High-Low). When the closing price crosses above the upper band of the Keltner channel, the script generates a long signal, and when the closing price crosses below the lower band of the Keltner channel, the script generates a short signal. The HHLL strategy generates a long signal when the current high crosses above the highest high of the last "nPeriod" bars, and generates a short signal when the current low crosses below the lowest low of the last "nPeriod" bars.
Exit Signals: The script uses two exit signals: (1) Stop Loss based on Keltner channel and (2) Profit Target based on Keltner channel. The script exits the long position when the closing price crosses below the lower band of the Keltner channel, and the script exits the short position when the closing price crosses above the upper band of the Keltner channel.
To use this script, you will need to have access to a trading platform that supports PineScript, such as TradingView, and attach the script to a chart. The script will then automatically generate entry and exit signals based on the rules described above. It's important to note that this script is just a tool and not a guarantee of profit. As with any trading strategy, it's important to thoroughly test and understand the script before using it for live trading.
Crypto Tipster v2---------------------
Crypto Tipster v2
Hello again! We're back with a drastically improved Crypto Tipster v2 Indicator using over a dozen all new algorithms based around Technical Analysis, Price Action, Momentum Swings and Reversal Detection.
We've taken our time with version 2 of Crypto Tipster, putting all our best practices to work and ensuring it performs superbly across numerous crypto markets and timeframes - we have focused our efforts towards the larger timeframes, 12H, 1D, 2D for example as we believe these to be the most consistent and predictable, and therefore the most profitable.
Trading on longer timeframes also reduces the overal cost of trading fee's as you'll be placing fewer trades over any given time period, whilst catching bigger swings and therefore earning a higher percentage per winning trade. Due to these bigger price swings you can de-leverage your trades too, making them inherintly safer and more controlled.
The final benefit to placing trades on longer timeframes is that you will not be tied down to your PC or laptop for hours on end waiting for a perfect entry or exit point, which increases the odds of placing bad/panic trades or even placing trades due to boredom! If you trade with Crypto Tipster v2 on a 1D timeframe, you will only ever have work to do once per day, at bar close; this is when trades are placed or exited, or stop losses/take profits are updated to new levels - easy!
Crypto Tipster v2 can help consistently catch tops and bottoms of trending markets whilst avoiding placing trades through choppy or ranging areas, this helps to not only maximise profits (what we're all after!) but also to minimise losses (equally important). We've tirelessly tested Crypto Tipster using literally thousands of variables across dozens of built-in algorithms over hundreds of trading pairs - lots of data to process!
The outcome is rather stunning and well worth checking out - we're rather proud of what we've achieved here, and we're pretty sure you're going to love it too!
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What's Included
- Chart Settings
The first section you'll come across, Chart Settings.
Here you'll find a few options regarding how your chosen market chart will look within TradingView and how Crypto Tipster will interact with this chart.
One of the most important Tick boxes is first on the list - "Show Backtest Results". This will change Crypto Tipster from displaying simple but easy-to-follow "Buy/Sell" labels into Strategy mode in which you can set up more complicated Stop Loss / Take profit settings as well as setting up Alerts for auto trading and other more complex functions (see How It Works for more info!
We've also included a "Trend Strength Bar Color" tick box which changes the color of the chart bars based on how strong Crypto Tipster is perceiving the current trend and in which direction.
- Trend Settings
"Trading Frequency" represents how often Crypto Tipster will be looking for a new trend / change in trend direction, and therefore how often it will be placing trades. By default this is set to "Normal" but can be changed to "Rapid" using the drop down menu.
"Entry Trend Strength" also determines how frequently trades are placed by selecting the strength of trend required before a trade is placed. The scale ranges from "1-5", with 1 being a low trend strength required, 5 being a very strong trend strength required.
Within the Trend Settings section you'll also find an "Avg Trend Strength over Bars" option. This allows you to average (mean) the current trend strength over a pre-determined amount (1-5) of previous chart bars - thus providing a potentially more consistent signal.
- Trade Settings
Trade Settings help Crypto Tipster determine what type of trades you're looking to place.
The overall "Trade Direction" will decide to either target only Long trades, only Short trades, or Both (default).
"Consecutive Trades in Same Direction" allows for pyramiding - whereby you can specify to allow for multiple trades of the same direction. Set to "1" as default allows for no extra pyramiding, max setting of "10".
- Trade Protection
Currently consisting of two functions, our Trade Protection section can help to achieve both the removal of false signals (whipsaws), and the extension of good trades without confusion during minor retracements.
"Chop Removal" can help to remove some whipsaw trades during ranging market conditions, therefore improving overal profitability by only targeting stronger trends. You have an option to choose from either "Weak" or "Strong" Chop Removal.
"Protection Filter" uses current trading criteria as defined by you, and uses it to check against a higher time frame than you're currently viewing. This can help to eliminate some bad trades at the expense of a potential lag on good trades.
- Stop Loss / Take Profit
Stop Losses should be a crucial aspect of everyone's trading system. They help prevent any trade from going too far in the wrong direction and limit losses.
Our "Stop Loss (%)" is quick and easy to set up, simply set the percentage offset from the entry price of trades and a fixed Stop Loss will be in place on all trades.
"Take Profit (%)" works in the same way as the Stop Loss mentioned above - simply set the percentage you'd like to exit a profitable trade at.
The "Trailing Stop (%)" is a little more complicated in that it will follow the trend of the trade a certain percentage away from the current market price - this is great for keeping yourself in a trade for as long as the trade is moving in the right direction.
- Extra Tools & Indicators
This is the section of Crypto Tipster that enables you to add some chart visuals to assist you with your preferred trading style.
"Potential Pivot Points" are not the same as actual pivot points - Potential pivot points will paint on the chart at bar close, giving you an immediate alert to potential tops/bottoms of market trends. You can choose to display only the strongest potential points, or include some of the weaker signals too.
"Actual Pivot Points" are inherintly more accurate than Potential pivot points, but do not paint on the chart until after a pre-determined amount of time has passed. These are great for placing stop losses/take profits or watching the market for breakouts or reversals.
"Support/Resistance Levels" plots up to 6 support and resistance horizontal lines based on recent price tops/bottoms. Use these to determine areas where price could rebound or break-through.
"Bollinger Band Breakout" - Bollinger bands are a tried and tested technical analysis tool, similar to pivot points and support/resistance lines, thee are another great tool to determine where price may retrace, consolidate or breakout.
- Ichimoku Cloud
Somewhat confusing and intimidating when you first come across this technical analysis indicator, the "Ichimoku Cloud" is one of our favorites. Assisting with the detection of Dynamic Support and Resistance levels, Momentum and Trend Direction all in one super indicator.
Although certain aspects of the Ichimoku Cloud are already present within Crypto Tipster v2 algorithms in order to offer you the best possible signals, we've also included a user-definable section of it's own so you can manually set up and use the cloud for your own trading needs, all cloud signals (and there are many) are available to set up as Alerts for your own needs or an Auto-Trading Bot.
- Custom Alerts for Any Signal
We've endeavoured to ensure that all signals, not just the Buy/Sell signals, are ready and available to create Alerts with; giving you the most opportunity to create a fully custom trading engine that suits your exact trading requirements.
This means you can set Alerts for any and all signals you can see on the chart when using Crypto Tipster v2, this includes Buy/Sell Signals, Trend Strength Signals, Choppy Market Signals, Stop Loss/Take Profit Signals, Pivot Points, S/R levels crossed above & below, Bollinger Band Breakout and several Ichimoku Cloud Signals.. the list goes on!
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We've tried to make Crypto Tipster as comprehensive and easy to understand as possible, we are however always in search of progression; we do really love to hear your feedback :)
For more information and a free 8-day trial please visit the link in our signature
Happy Trading Guys
Fake StrategyTHIS IS A FAKE STRATEGY. PLEASE DO NOT USE THIS FOR TRADING.
Just publishing this to display how easily you can fake backtest results in the strategies. However, there are ways to identify the scams. Let's discuss about major red herrings in a strategy. How to identify them and stay away from them.
Any strategy which proclaims significantly high win rate (such as this) are not practical and can only be achieved via following means
Significantly high risk compared to reward
Trades are set in such a way that profits are taken in small movement whereas stops are significantly farther. By doing this, win rate will surely increase. But, will be picking pennies by risking plenty of capital. General trait of such strategies can be identified by comparing average trade and max drawdown . These kind of strategies will have significantly higher drawdown even though the number of losses are less. For example, 1 losing trade leading to drawdown of 10+% whereas every winning only contributes 0.25%.
We can also see this kind of behaviour in option selling strategies such as 0 and 1 DTE option selling strategies. Here too probability of winning can be pretty high (north of 90%). But, on every winning, you make 1-2% of your capital however on remaining trades, you will lose your complete capital - which leads to overall losing position.
Inducing repainting through code
This strategy is an excellent example of how repainting can be induced via code using request.securities method. There are plenty of ways a strategy or code can be made to repaint. Tradingview user manual has lots of information about repainting. Feel free to read through if you have extra time. If you look at this code, it is very simple to induce repainting in a strategy to make it look like an infinite money printing machine.
High Leverage and lack of usage of margin
Using leverage in pine can show false results. This is because, the strategy engine will not stop when equity goes below 0% until the trade is closed. But, that does not happen in real life. This is the reason why using leverage along with high risk and low reward trades can show false results overall making it look like the strategy is unbeatable. But, when you try to use that in real time, it is likely that account will be blown out.
To understand leverage conditions, please have a look at the strategy property fields - Order Size, Pyramiding, Commission, Slippage, Margin Long/Short.
Curve fitting
If the author claims that strategy will only work on particular set of instrument and particular timeframe, then the strategy is not real. It is curve fitting. Knowingly/Unknowingly author has moulded his strategy to fit what has happened in the past. This is general issue even non malicious author go through. It is very much essential to test the strategy across various set of instruments and timeframes to understand the real capability. Use back-testing as test cases. More test cases you have, more bug free your strategy will be. There are many methods to understand curve fitting and perform better testing of the strategy in hand which can be studied and implemented by authors.
Significantly short trades - a sign of lack of strategy
A strategy built using pine in general work on close of candle. So, all the calculations generally happen upon close of the candle. You can force intra-bar calculations using bar magnifier. But, that is not equivalent to tick data. Due to this reason, I consider any trade happening within a bar (Meaning open and close within the same bar) as not reliable. This is because, it is not possible for strategy back-tester to know whether entry condition is satisfied first or exit in a completely foolproof way. Bar magnifier can help reduce this issue - but will not eradicate this problem completely. If there are lots of trades in a strategy - which are closing within the same bar, this is very likely that the strategy backtest results are not reliable.
Hope this helps at least some people to understand the scams and stay away from it.
Strategy Myth-Busting #2 - Braid Filter+ADX+EMA-Trend - [MYN]This is part of a new series we are calling "Strategy Myth-Busting" where we take open public manual trading strategies and automate them. The goal is to not only validate the authenticity of the claims but to provide an automated version for traders who wish to trade autonomously.
Our second one we are automating is the " Braid Filter: The Indicator That Will Make You a Fortune ( Crazy Win Rate ! ) " strategy from " TradeIQ " who claims to have backtested this manually and achieved 453% profit with a 75% winrate over 100 trades in just a few months. I was unable to emulate these results accommodating for slippage and commission but this strategy does fair pretty well at least compared to the first one we automated.
If you know of or have a strategy you want to see myth-busted or just have an idea for one, please feel free to message me.
This strategy uses a combination of 3 open-source public indicators:
Braid Filter by Robert Hill
CM_EMA Trend Bars by Chris Moody
ADX and DI for V4 by Trend Bars by BeikabuOyaji
Trading Rules
15 min candles but other time-frames seem to work well too.
Long
1) Buy Price action above moving average. (bars are green)
2) Braid filter must issue a new green bar
3) ADX must be above the 20 level and be pointed up, If flat or downwards, don't enter trade (adjust ADX Slope to increase/decrease the incline of the slope)
4) Stop loss at the moving average or recent swing low.
Short
1) Buy Price action below moving average. (bars are red)
2) Braid filter must issue a new red bar
3) ADX must be above the 20 level and be pointed up, If flat or downwards, don't enter trade (adjust ADX Slope to increase/decrease the incline of the slope)
4) Stop loss at the moving average or recent swing high.
Target 1.5x the risk
Random Entries Work!" tHe MaRkEtS aRe RaNdOm ", say moron academics.
The purpose of this study is to show that most markets are NOT random! Most markets show a clear bias where we can make such easy money, that a random number generator can do it.
=== HOW THE INDICATOR WORKS ===
The study will randomly enter the market
The study will randomly exit the market if in a trade
You can choose a Long Only, Short Only, or Bidirectional strategy
=== DEFAULT VALUES AND THEIR LOGIC ===
Percent Chance to Enter Per Bar: 10%
Percent Chance to Exit Per Bar: 3%
Direction: Long Only
Commission: 0
Each bar has a 10% chance to enter the market. Each bar has a 3% to exit the market . It will only enter long.
I included zero commission for simplification. It's a good exercise to include a commission/slippage to see just how much trading fees take from you.
=== TIPS ===
Increasing "Percent Chance to Exit" will shorten the time in a trade. You can see the "Avg # Bars In Trade" go down as you increase. If "Percent Chance to Exit" is too high, the study won't be in the market long enough to catch any movement, possibly exiting on the same bar most of the time.
If you're getting the red screen, that means the strategy lost so much money it went broke. Try reducing the percent equity on the Properties tab.
Switch the start year to avoid/minimize black swan events like the covid drop in 2020.
=== FINDINGS ===
Most markets lose money with a "Random" direction strategy.
Most markets lose ALL money with a "Short Only" strategy.
Most markets make money with a "Long Only" strategy.
Try this strategy on: Bitcoin (BTCUSD) and the NASDAQ (QQQ).
There are two popular memes right now: "Bitcoin to the moon" and "Stocks only go up". Both are seemingly true. Bitcoin was the best performing asset of the 2010's, gaining several billion percent in gains. The stock market is on a 100 year long uptrend. Why? BECAUSE FIAT CURRENCIES ALWAYS GO DOWN! This is inflation. If we measure the market in terms of others assets instead of fiat, the Long Only strategy doesn't work anymore (or works less well).
Try this strategy on: Bitcoin/GLD (BTCUSD/GLD), the Eurodollar (EURUSD), and the S&P 500 measured in gold (SPY/GLD).
Bitcoin measured in gold (BTCUSD/GLD) still works with a Long Only strategy because Bitcoin increased in value over both USD and gold.
The Eurodollar (EURUSD) generally loses money no matter what, especially if you add any commission. This makes sense as they are both fiat currencies with similar inflation schedules.
Gold and the S&P 500 have gained roughly the same amount since ~2000. Some years will show better results for a long strategy, while others will favor a short strategy. Now look at just SPY or GLD (which are both measured in USD by default!) and you'll see the same trend again: a Long Only strategy crushes even when entering and exiting randomly.
=== " JUST TELL ME WHAT TO DO, YOU NERD! " ===
Bulls always win and Bears always lose because fiat currencies go to zero.
You're not underperforming a random number generator, are you?
scalping against trapped countertrendAbstract
This script attempts to find the end of countertrend.
This script uses oscillators to measure long term and short period trends. When the long term trend keeps positive and clear short term period is over, this script provides a buy signal.
This script does not contain pullback, cut loss and re-enter. You need to add it manually.
Introduction
Many traders want to buy when long term trend is bullish and short term pullback is over.
This is because we can take advantage to the emotion of countertrend traders.
Countertrend traders realizes their profit is finite and therefore want to protect their profit well and limit their loss.
This script is inspired by a searchable trading strategy video.
The video mentioned 4 points.
(1) long term trend. The video did not spend much ink on this point. You can use any method to observe.
(2) clear pullback bar (at least 50% body)
(3) weak bar after clear pullback
(4) entry trigger buy stop
This script attempts to quantize these points to determine trading direction.
This script is originally designed for timeframes lower than examples in the video but you can apply it on any timeframe.
Computing and Adjusting
(1) long term trend
This script uses smoothed stochastic.
(2) clear pullback bar
Since this script is originally designed for timeframes lower than examples in the video, so the condition becomes:
RSI is low enough
(3) weak bar after clear pullback
RSI goes back from low level.
(4) entry trigger buy stop
This script does not include this condition.
You can decide enter when buy stop or pullback.
Parameters
x_src : the value for computing oscillators
x_len_a : how many bars for measuring short term trend
x_len_b : how many bars for measuring long term trend
x_k_b : smooth long term trend, the average value of stochastic values
x_changk = check if clear short term pullback appears recently. 1 means do not use, larger numbers means how long of periods to check.
x_rsi_ct : threshold of short term pullback clear
x_rsi_ft : threshold of short term pullback end
Reading numbers in Strategy Tester
Most possible loss :
(1) to find rational pullback. Generally 1/3 to 2/3 atr.
(2) to find cut loss distance. Generally 1 to 2 atr.
Most possible profit :
to find if trading the opposite direction against this script is profitable.
Conclusion
This script can suggest us trading direction.
Waiting for pullback can reduce risk, compared to buy stop.
This script does not provide good signals in sideways markets.
Reference
A searchable trading strategy video
Woodies CCI Trading System - Patterns - Strategy TesterWoodies CCI Trading System - Patterns (Strategy Tester Mode) .
The Woodies CCI was initially designed for trading Stocks, Options and the Future Market.
However, different styles of traders can make use of it in various markets and any chart timeframes.
The Woodies CCI Trading System - Patterns takes a Strategy Builder like approach and can be easily configured to scan simultaneously for any available pattern.
The purpose of this tool is to compress everything down to 1 alert to warn of any opportunities, and it can also be automated .
To further improve the success rate , the patterns' performance can be studied with the help of the Strategy Tester .
The Strategy Tester Mode allows for instant backtesting on historical data.
It can assist in determining the right combination of patterns and exit rules , and it can help decide which patterns are better for which market.
The Alert Mode can be found on this page Woodies-CCI Trading System - Patterns (Alert Mode) .
This trading system contains all the particular features as described by Woodie, and more.
▪ Pattern Recognition (entry signals based on well-defined patterns)
- Trade patterns that are in agreement with the established trend
1. Zero-Line Reject (ZLR)
2. Trend Line Break (TLB) - with the trend
3. Horizontal Trend Line Break (HTLB) - with the trend
4. Tony Trade (TT)
5. GB100 (GB)
6. Reverse Divergence (RD)
- Trade patterns that are against the trend (these patterns indicate the possibility of a change in trend direction and are recommended for experienced traders)
1. Shamu Trade (ST)
2. The Famir Trade (FT)
3. Vegas Trade (VT)
4. Ghost Trade (GT)
5. Hook From Extreme (HFE)
6. Trend Line Break (TLB) - counter-trend
7. Horizontal Trend Line Break (HTLB) - counter-trend
▪ Exit rules
1. CCI Trend Line Breaks
2. CCI crossing back through the 100 lines
3. TCCI hooking or going flat, not moving, or no progress
4. CCI hook from extremes
5. Profit target hit
6. CCI forming a flat top formation
7. CCI crossing a Horizontal Trend Line
8. When the LSMA disagrees with the trade
9. CCI crossing the Zero-Line (ZL)
▪ WCCI Histogram coloring based on Woodie's trend definition
- Blue for Uptrend
- Red for Downtrend
- Gray for No Trend
- Yellow for trend establishment
▪ The LSMA is on the Zero-Line - it is the 25 period Least Squares Moving Average (it shows the ZL as a series of red and green segments)
- Red segments - the market price is below LSMA
- Green segments - the market price is above LSMA
▪ Chop Zone Indicator (CZI) - Positioned on the levels +100 and -100 (it shows market direction)
- Cyan shows up market
- Brown shows down market
- Multiple colors show market in a sideways mode
▪ Sidewinder Indicator (SI) - Positioned on the levels +200 and -200
- Red shows a flat or non-trending market
- Yellow shows a trending market
- Green shows a strong trending market
▪ The Woodies CCI (14) is indicated with the fuchsia color
▪ WCCI length auto-change to 20 on 1-hour chart intervals and higher
▪ The Turbo CCI (6) has a dark red color
▪ TWCCI auto-hide on 1-hour chart intervals and higher
▪ Early Alert Functionality available (eg 20 seconds before the signal is considered valid)
▪ Simplified Alerts
- An all in one alert
- Alerts for entry triggers
- Alerts for exit conditions
▪ Some Pattern Statistics are available on the chart in a panel
Simple Steps to set it up:
1 - Choose at least 1 pattern ( with-the-trend patterns are friendlier than the counter-trend ones)
2 - Choose at least 1 exit condition
3 - Set the alerts (1 for Entry and 1 for Exit, or 1 alert running for both Entry and Exit)
For Beginners:
For the new trader, the trend continuation patterns are easier to manage.
Newcomers should stick to trend-following patterns until they feel very confident!
Here are Three Entry Choices:
1 - Conservative -
Wait until the bar closes to enter - This is the easiest to execute.
2 - Conservative to Aggressive -
Woodie would like the beginner to enter the market if, with 20 seconds left in the bar, a valid CCI pattern presents itself.
3 - Very Aggressive -
Enter trade as soon as the bar indicates a signal during price bar formation. This is for experienced traders, as the signal conditions are final at the close of the bar and the intra-bar changes are not recorded.
Your implicit learned skills are put to the test here. Be fair to yourself and allow yourself time to grow and improve your skills.
You are strongly urged to follow the Option 2.
Money Management: Apply an Initial Protective Stop; Use Trade Exits; Study the past performance - Statistics (Strategy Tester Mode).
Related Tools:
Woodies-CCI Trading System - Patterns - Alerts
Risk Management System (Stop Loss, Take Profit, Trailing Stop Loss, Trailing Take Profit) - it can be connected to the Woodies-CCI Trading System - Patterns - Alerts
Early/Delayed Signal Explained
Full Range Trading Strategy with DCA - Crypto, Forex, Stocks
Introduction
This is a Pine 4 range trading strategy. It has a twin study with several alerts. The design intent is to produce a commercial grade signal generator that can be adapted to any symbol and interval. Ideally, the script is reliable enough to be the basis of an automated trading system web-hooked to a server with API access to crypto, forex and stock brokerages. The strategy can be run in three different modes: long, short and bidirectional.
As a range trading strategy, the behavior of the script is to buy on weakness and sell on strength. As such trade orders are placed in a counter direction to price pressure. What you will see on the chart is a short position on peaks and a long position on valleys. Just to be clear, the range as well as trends are merely illusions as the chart only receives prices. However, this script attempts to calculate pivot points from the price stream. Rising pivots are shorts and falling pivots are longs. I refer to pivots as a vertex in this script which adds structural components to the chart formation. When trading in “Ping Pong” mode long and short positions are intermingled continuously as long as there exists a detectable vertex. Unfortunately, this can work against your backtest profitability on long duration trends where prices continue in a single direction without pullback. I have designed various features in the script to compensate for this event. A well configured script should perform in a range bound market and minimize losses in a trend. I also have a trend following version of this script for those not interested in trading the range. Please be aware these are two types of traders. You should know who you are.
This script employs a DCA feature which enables users to experiment with loss recovery techniques. This is an advanced feature which can increase the order size on new trades in response to stopped out or winning streak trades. The script keeps track of debt incurred from losing trades. When the debt is recovered the order size returns to the base amount specified in the TV properties tab. The inputs for this feature include a limiter to prevent your account from depleting capital during runaway markets. This implementation of DCA does not use pyramid levels. Only the order size on subsequent new trades are affected. Pyramids on the other hand increase the size of open positions. If you are interested in seeing pyramids in action please see the trend version of this script which features both DCA and pyramids. While DCA is a popular feature in crypto trading, it can make you a “bag” holder if your not careful. In other markets, especially margin trading, you’ll need a well funded account and much trading experience to manage this feature safely.
Consecutive loss limit can be set to report a breach of the threshold value. Every stop hit beyond this limit will be reported on a version 4 label above the bar where the stop is hit. Use the location of the labels along with the summary report tally to improve the adaptability of system. Don’t simply fit the chart. A good trading system should adapt to ever changing market conditions. On the study version the consecutive loss limit can be used to halt live trading on the broker side (managed manually).
Design
This script uses twelve indicators on a single time frame. The original trading algorithms are a port from a much larger program on another trading platform. I’ve converted some of the statistical functions to use standard indicators available on TradingView. The setups make heavy use of the Hull Moving Average in conjunction with EMAs that form the Bill Williams Alligator as described in his book “New Trading Dimensions” Chapter 3. Lag between the Hull and the EMAs form the basis of the entry and exit points. The vertices are calculated using one of five featured indicators. Each indicator is actually a composite of calculations which produce a distinct mean. This mathematical distinction enables the script to be useful on various instruments which belong to entirely different markets. In other words, at least one of these indicators should be able generate pivots on an arbitrarily selected instrument. Try each one to find the best fit.
The entire script is around 1800 lines of Pine code which is the maximum incidental size given the TradingView limits: local scopes, run-time duration and compile time. I’ve been working on this script for nearly two years and have tested it on various instruments stocks, forex and crypto. It performs well on higher liquidity markets that have at least a year of historical data. Although the script can be implemented on any interval, it has been optimized for small time frames down to 5 minutes. The 10 minute BTC/USD produces around 500 trades in 2 ½ months. The 1 hour BTC/USD produces around 1300 trades in 1 ½ years. Originally, this script contained both range trading and trend following logic but had to be broken into separate scripts due to the aforementioned limitations.
Inputs to the script use cone centric measurements in effort to avoid exposing adjustments to the various internal indicators. The goal was to keep the inputs relevant to the actual trade entry and exit locations as opposed to a series of MA input values and the like. As a result the strategy exposes over 50 inputs grouped into long or short sections. Inputs are available for the usual minimum profit and stop-loss as well as safeguards, trade frequency, DCA, modes, presets, reports and lots of calibrations. The inputs are numerous, I’m aware. Unfortunately, at this time, TradingView does not offer any other method to get data in the script. The usual initialization files such as cnf, cfg, ini, json and xml files are currently unsupported.
Example configurations for various instruments along with a detailed PDF user manual is available.
Indicator Repainting And Anomalies
Indicator repainting is an industry wide problem which mainly occurs when you mix backtest data with real-time data. It doesn't matter which platform you use some form of this condition will manifest itself on your chart over time. The critical aspect being whether live trades on your broker’s account continue to match your TradingView study.
Tackling this repainting issue has been a major project goal of this script. Based on my experience with Pine, most of the problems stem from TradingView’s implementation of multiple interval access. Whereas most platform provide a separate bar series for each interval requested, the Pine language interleaves higher time frames with the primary chart interval. The problem is exacerbated by allowing a look-ahead parameter to the Security function. The goal of my repaint prevention is simply to ensure that my signal trading bias remains consistent between the strategy, study and broker. That being said this is what I’ve done address this issue in this script:
1. This script uses only 1 time frame. The chart interval.
2. Every entry and exit condition is evaluated on closed bars only.
3. No security functions are called to avoid a look-ahead possibility.
4. Every contributing factor specified in the TradingView wiki regarding this issue has been addressed.
5. I’ve run a 10 minute chart live for a week and compared it to the same chart periodically reloaded. The two charts were highly correlated with no instances of completely opposite real-time signals.
The study does indeed bring up the TV warning dialog. The only reason for this is because the script uses an EMA indicator which according to TradingView is due to “peculiarities of the algorithm”.
One issue that comes up when comparing the strategy with the study is that the strategy trades show on the chart one bar later than the study. This problem is due to the fact that “strategy.entry()” and “strategy_exit()” do not execute on the same bar called. The study, on the other hand, has no such limitation since there are no position routines.
Please be aware that the data source matters. Cryptocurrency has no central tick repository so each exchange supplies TradingView its feed. Even though it is the same symbol the quality of the data and subsequently the bars that are supplied to the chart varies with the exchange. This script will absolutely produce different results on different data feeds of the same symbol. Be sure to backtest this script on the same data you intend to receive alerts for. Any example settings I share with you will always have the exchange name used to generate the test results.
Usage
The following steps provide a very brief set of instructions that will get you started but will most certainly not produce the best backtest. A trading system that you are willing to risk your hard earned capital will require a well crafted configuration that involves time, expertise and clearly defined goals. As previously mentioned, I have several example configs that I use for my own trading that I can share with you along with a PDF which describes each input in detail. To get hands on experience in setting up your own symbol from scratch please follow the steps below.
The input dialog box contains over 50 inputs separated into five sections. Each section is identified as such with a makeshift separator input. There are three main areas that must to be configured: long side, short side and settings that apply to both. The rest of the inputs apply to DCA, reporting and calibrations. The following steps address these three main areas only. You will need to get your backtest in the black before moving on to the more advanced features.
Step 1. Setup the Base currency and order size in the properties tab.
Step 2. Select the calculation presets in the Instrument Type field.
Step 3. Select “No Trade” in the Trading Mode field.
Step 4. Select the Histogram indicator from Section 2. You will be experimenting with different ones so it doesn’t matter which one you try first.
Step 5. Turn on Show Markers in Section 2.
Step 6. Go to the chart and checkout where the markers show up. Blue is up and red is down. Long trades show up along the red markers and short trades on the blue.
Step 7. Make adjustments to “Base To Vertex” and “Vertex To Base” net change and roc in Section 3. Use these fields to move the markers to where you want trades to be.
Step 8. Try a different indicator from Section 2 and repeat Step 7 until you find the best match for this instrument on this interval. This step is complete when the Vertex settings and indicator combination produce the most favorable results.
Step 9. Go to Section 3 and enable “Apply Red Base To Base Margin”.
Step 10. Go to Section 4 and enable “Apply Blue Base To Base Margin”.
Step 11. Go to Section 2 and adjust “Minimum Base To Base Blue” and “Minimum Base To Base Red”. Observe the chart and note where the markers move relative to each other. Markers further apart will produce less trades but will reduce cutoffs in “Ping Pong” mode.
Step 12. Return to Section 3 and 4 and turn off “Base To Base Margin” which was enabled in steps 9 and 10.
Step 13. Turn off Show Markers in Section 2.
Step 14. Put in your Minimum Profit and Stop Loss in the first section. This is in pips or currency basis points (chart right side scale). Percentage is not currently supported. This is a fixed value minimum profit and stop loss. Also note that the profit is taken as a conditional exit on a market order not a fixed limit. The actual profit taken will almost always be greater than the amount specified. The stop loss, on the other hand, is indeed a hard number which is executed by the TradingView broker simulator when the threshold is breached. On the study version, the stop is executed at the close of the bar.
Step 15. Return to step 3 and select a Trading Mode (Long, Short, BiDir, Ping Pong). If you are planning to trade bidirectionally its best to configure long first then short. Combine them with “BiDir” or “Ping Pong” after setting up both sides of the trade individually. The difference between “BiDir” and “Ping Pong” is that “Ping Pong” uses position reversal and can cut off opposing trades less than the specified minimum profit. As a result “Ping Pong” mode produces the greatest number of trades.
Step 16. Take a look at the chart. Trades should be showing along the markers plotted earlier.
Step 17. Make adjustments to the Vertex fields in Section 2 until the TradingView performance report is showing a profit. This includes the “Minimum Base To Base” fields. If a profit cannot be achieved move on to Step 18.
Step 18. Improve the backtest profitability by adjusting the “Long Entry Net Change” and “Long Entry ROC” in Section 3.
Step 19. Improve the backtest profitability by adjusting the “Short Entry Net Change” and “Short Entry ROC” in Section 4.
Step 20. Improve the backtest profitability by adjusting the “Sparse Long Delta” in Section 3.
Step 21. Improve the backtest profitability by adjusting the “Chase Long Delta” in Section 3.
Step 22. Improve the backtest profitability by adjusting the “Long Adherence Delta” in Section 3. This field requires the “Adhere to Rising Trend” checkbox to be enabled.
Step 23. Try each checkbox in Section 3 and see if it improves the backtest profitability. The “Caution Lackluster Longs” checkbox only works when “Long Caution Mode” is enabled.
Step 24. Improve the backtest profitability by adjusting the “Sparse Short Delta” in Section 4.
Step 25. Improve the backtest profitability by adjusting the “Chase Short Delta” in Section 4.
Step 26. Improve the backtest profitability by adjusting the “Short Adherence Delta” in Section 4. This field requires the “Adhere to Falling Trend” checkbox to be enabled.
Step 27. Try each checkbox in Section 4 and see if it improves the backtest profitability. The “Caution Lackluster Shorts” checkbox only works when “Short Caution Mode” is enabled.
Step 28. Enable the reporting conditions in Section 5. Look for long runs of consecutive losses or high debt sequences. These are indications that your trading system cannot withstand sudden changes in market sentiment.
Step 29. Examine the chart and see that trades are being placed in accordance with your desired trading goals. This is an important step. If your desired model requires multiple trades per day then you should be seeing hundreds of trades on the chart. Alternatively, you may be looking to trade fewer steep peaks and deep valleys in which case you should see trades at major turning points. Don’t simply settle for what the backtest serves you. Work your configuration until the system aligns with your desired model. Try changing indicators and even intervals if you cannot reach your simulation goals. Generally speaking, the histogram and Candle indicators produce the most trades. The Macro indicator captures the tallest peaks and valleys.
Step 30. Apply the backtest settings to the study version and perform forward testing.
This script is open for beta testing. After successful beta test it will become a commercial application available by subscription only. I’ve invested quite a lot of time and effort into making this the best possible signal generator for all of the instruments I intend to trade. I certainly welcome any suggestions for improvements. Thank you all in advance.
