EMA 9/21 Crossover with 0.23% TP and 0.10% SL🔍 Strategy Logic:
Buy Entry: When EMA 9 crosses above EMA 21
Sell Entry: When EMA 9 crosses below EMA 21
🎯 Trade Management:
Target Profit: +0.23%
Stop Loss: -0.10%
Works well on lower timeframes (1m, 5m, 15m) for intraday scalping
✅ Use Cases:
Scalping and short-term trading
Works across assets (Gold, Nifty, BankNifty, Crypto, Forex)
Ideal for traders who prefer fast entry-exit setups
移動平均線
Bitcoin 12/26 EMA Crossover with ADX Filter [5min Intraday]A trend-following strategy for Bitcoin on a 5-minute intraday chart, using 12/26 EMA crossovers with ADX and volume filters to reduce false signals in ranging markets.
Key Features:
Entries: Long: 12 EMA crosses above 26 EMA, ADX > 25, volume > 1.5x 20-period average.
Short: 12 EMA crosses below 26 EMA, ADX > 25, volume > 1.5x 20-period average.
Exits: Long: 2% stop loss or 12 EMA crosses below 26 EMA.
Short: 2% stop loss, 3% take profit, or 12 EMA crosses above 26 EMA.
Filters: ADX (14-period) > 25 ensures trending markets; volume filter confirms strong participation.
High Freq Buy The Dips Bull Market [Quant Trading]STRATEGY OVERVIEW
This is a significantly enhanced and optimized version of the original "Buy The Dips in Bull Market" strategy from Coinrule (2020). The strategy has been completely rewritten in Pine Script v6 with substantial improvements in performance, risk management, and functionality. Based on extensive analysis of 2+ years of BTC hourly data, this optimized version delivers 312.6% better returns with a 74.8% win rate compared to the original implementation.
Key Philosophy: The strategy capitalizes on temporary price dips during bull market conditions by entering long positions when RSI indicates oversold conditions while maintaining a bullish market structure, then exiting when price recovers above key moving averages.
HOW IT WORKS
Entry Logic
The strategy enters long positions when ALL of the following conditions are met:
RSI Oversold Condition: RSI drops below the configurable threshold (default: 45)
Bull Market Structure: Long-term MA (150) is below the slow MA (40), indicating overall bullish momentum
Within Date Range: Trade occurs within the specified backtesting period
Exit Logic
Positions are closed when BOTH conditions are satisfied:
Price Recovery: Current price moves above the fast MA (15-period)
MA Alignment: Fast MA crosses above slow MA, confirming trend continuation
Optional Short Trading
When enabled, the strategy can also trade short positions using inverse logic:
Short Entry: RSI overbought (above 55 by default) + bearish market structure
Short Exit: Price decline below fast MA + bearish MA alignment
KEY IMPROVEMENTS OVER ORIGINAL
1. Enhanced Risk Management
ATR-Based Stop Loss/Take Profit: Dynamic risk levels based on market volatility
Configurable Risk-Reward Ratio: Default 2:1 ratio with full customization
Alternative Percentage-Based Risk: Option to use fixed percentage stops instead of ATR
2. Optimized Parameters
RSI Period: Increased to 14 (from original) for more reliable signals
RSI Buy Signal: Optimized to 45 (from 35) reducing false signals
Fast MA: Shortened to 15 periods (from 9) for quicker response
Slow MA: Reduced to 40 periods (from 50) for improved trend detection
Long MA: Reduced to 150 periods (from 200) for better bull market identification
3. Advanced Features
Bi-directional Trading: Optional short selling capability
Comprehensive Visualization: Enhanced plotting with risk level displays
Flexible Date Range: Improved backtesting controls with visual indicators
Modern Pine Script v6: Complete rewrite using latest Pine Script features
DEFAULT PARAMETERS EXPLAINED
RSI Settings
RSI Period: 14 bars - Standard period providing balanced sensitivity
RSI Buy Signal: 45 - Optimized threshold for bull market dip buying
Moving Average Settings
Fast MA Length: 15 - Quick-response average for exit signals
Slow MA Length: 40 - Medium-term trend confirmation
Long MA Length: 150 - Long-term bull market structure identification
Risk Management (ATR-Based)
ATR Period: 14 - Standard volatility measurement period
ATR Stop Loss Multiplier: 2.0 - Conservative stop loss distance
Risk Reward Ratio: 2.0 - Take profit at 2x the risk amount
Alternative Risk Management (Percentage-Based)
Stop Loss: 5% - Fixed percentage stop loss
Take Profit: 10% - Fixed percentage take profit target
Trading Configuration
Initial Capital: $1,000
Position Size: 100% of equity per trade
Commission: 0.1% per trade
Slippage: 3 ticks
STRATEGY PERFORMANCE CHARACTERISTICS
Strengths
High Win Rate: 74.8% successful trades based on optimization analysis
Bull Market Focused: Designed specifically for uptrending market conditions
Volatility Adaptive: ATR-based risk management adjusts to market conditions
False Signal Reduction: Optimized parameters minimize whipsaws
Considerations
Bull Market Dependency: Performance may decline in prolonged bear markets
Trend Following Nature: May experience drawdowns during strong trend reversals
High Frequency: Generates multiple signals requiring active monitoring
RISK WARNINGS
Past performance does not guarantee future results. This strategy is optimized for bull market conditions and performance may vary significantly in different market environments. Always use appropriate position sizing and risk management. Real trading results may differ due to execution costs, slippage, and market conditions.
RECOMMENDED USAGE
Optimal Market Conditions
Bull market or strong uptrending conditions
Medium to high volatility environments
Markets with clear trend structure
Timeframes
Optimized for hourly charts
Can be adapted for other timeframes with parameter adjustment
Asset Classes
Originally optimized for Bitcoin
Suitable for other trending cryptocurrencies and traditional assets
Test parameters on specific assets before live implementation
TECHNICAL REQUIREMENTS
Pine Script Version: v6
Strategy Type: Long/Short (configurable)
Overlay: Yes - plots directly on price chart
Real-time Alerts: Compatible with TradingView alert system
This strategy represents a substantial evolution of the original concept, incorporating modern risk management techniques, optimized parameters based on extensive backtesting, and enhanced functionality while maintaining the core "buy the dips" philosophy that made the original strategy popular.
Break & Retest Strategy V2 (Clean Visuals)This strategy is built on a high-probability EMA breakout and retest model, designed for traders who want clean structure-based entries filtered by trend alignment and strong price action. It leverages:
• ✅ A 44 EMA trend filter on the 4H chart
• ✅ HTF directional bias from the Daily 44 EMA
• ✅ Breakout above the EMA followed by a wick-based retest
• ✅ Strong bullish candle confirmation (body > 50% of range)
• ✅ Dynamic stop loss using either the pivot low or a buffer below the EMA
• ✅ Fixed 1:3 Risk:Reward ratio for consistent reward targeting
• ✅ Cooldown system to prevent overtrading
• ✅ Clean, minimal visuals using smart RR boxes instead of chart clutter
This system is fully backtestable and designed with prop firm challenge criteria in mind — prioritizing risk control, clarity, and high-quality trade conditions.
⸻
🔧 Current Development Goals (V3 Roadmap)
We’re actively refining the system to improve win rate and profit factor, while keeping drawdown low. Key upgrades in progress:
1. 📈 Liquidity Trap Filter
• Add logic to confirm a wick below recent lows (liquidity sweep) before retesting the EMA
2. 🧠 Partial Take Profits + Breakeven Logic
• TP1 at 1.5R → move SL to breakeven
• TP2 at 3R → close remaining position
3. 🔁 Trade Session Filter
• Limit entries to London & New York AM sessions to avoid false signals in low volume periods
4. 📉 Short Entry Engine
• Mirror logic for bearish break + retest setups below the EMA
5. 🔔 Live Alerts System
• Entry signal alerts for hands-free, real-time trading decisions
6. 📊 Optimizer Toolkit (future)
• Add ATR/volatility filters
• Add market structure confluence zones (HH/HL filters)
• Smart cooldown timer based on wins/losses or volatility shifts
SHMA + Cassure de Support (Long Only)SHMA Support Breakout Strategy (Long Only)
📈 Strategy based on a dynamic support breakout combined with a proprietary SHMA (Schrödinger Harmonic Moving Average) exit filter.
Entry: price crossing above a recently recognized pivot‑low support.
Exit options:
- Immediate on Stop Loss.
- On Take Profit: either exit immediately or wait for a bearish SHMA cross‑under (configurable).
This is a long‑only strategy. All logic is implemented through user‑configurable inputs: support detection (left/right bars), TP/SL levels, SHMA length and quantum alpha, and optional SHMA exit behavior.
Everything is documented and original—this script is not a simple mash‑up of standard indicators, but a unique strategy applying quantum harmonic feedback.
⚠️ Backtest only, no guarantee of future results. Use realistic commission/slippage, and risk sizing per trade (≤ 5 % of equity) are recommended.
Momentum Trading StrategyThis is a Trend Following Momentum Strategy, where i used EMA, ADX, RSI, VWAP to take trade with Trend and initiate trade when Momentum builds up.
The Default target is 1:2
9 EMA Cross 21 EMA Strategy - 1H with 5% TPThe 21/9 EMA crossover strategy is a powerful trend-following method where a buy signal is triggered when the 9 EMA crosses above the 21 EMA, indicating bullish momentum. It works best in trending markets, especially when combined with filters like the 100 EMA to avoid choppy zones. Traders can enhance performance by entering on EMA retests, using a fixed 35-point stop-loss, and setting a 5–8% take profit. This strategy shines on 15-minute to 1-hour charts and can yield massive returns—sometimes up to 300%—when used with discipline and proper risk management. Follow me for more crazy setups!
Friedrich's Ichimoku & EMA Strategy📈 Friedrich's Ichimoku & EMA Strategy
This strategy combines the strength of the Ichimoku Cloud with the long-term trend confirmation of the 200 EMA to identify high-probability long entries.
🧠 Strategy Logic
Entry Conditions:
- Price is above the Ichimoku Cloud (bullish confirmation).
- Price is above the 200 EMA (long-term trend is up).
Exit Conditions:
- Price falls below the Ichimoku Cloud, or
- Price drops below the 200 EMA while in an open position.
📊 Visual Features
Plots Lead Line 1 & 2 of the Ichimoku Cloud.
Fills the cloud area for clear visual trend recognition.
Plots the 200 EMA to show long-term trend alignment.
🔔 Alerts
Long Entry Signal: When all conditions align for a long.
Close Signal: When price invalidates the setup.
🕒 Recommended Use
Best used on the 6H (6-hour) timeframe.
Optimized for Bitcoin (BTC/USD), but adaptable to other trending assets.
💡 Use Case
This strategy is designed for traders who want to:
Ride strong trends.
Use a rule-based approach with clear visual guidance.
You can customize the Ichimoku or EMA settings to fit your asset or time frame.
SEVEN THIRTY### 🕖 **Seven Thirty Strategy — Automated Trend Reversal System**
**Overview:**
The *Seven Thirty* strategy is a fully automated trend-following reversal system designed for TradingView and integrated with platforms like WunderTrading for hands-free execution. It enters trades on EMA crossovers with smart risk management and automatically reverses position when trends shift.
**Key Features:**
* 📈 **EMA Cross Entry:** Trades are opened immediately on confirmed EMA crossovers, no delay or buffer.
* 🛑 **Smart Stop Loss:** Stop is dynamically placed at the second most recent swing high/low (Gann F2 logic).
* 🎯 **Take Profit Targets:** Partial take profits (TP1/TP2/TP3) can be enabled based on user-defined percentages.
* 🔄 **Auto-Reverse Logic:** When a stop is hit, the strategy flips into a new position in the opposite direction.
* 📉 **2% Risk Per Trade:** Dynamic position sizing based on distance to stop ensures consistent portfolio risk.
* 🧠 **Optional Momentum Filter:** Adjustable trend/momentum filter to avoid choppy conditions.
* 🔁 **Works on Any Asset:** Designed to function across all markets and timeframes with minimal tweaking.
**Automation-Ready:**
This strategy is built for direct integration with automated bots like WunderTrading. Alerts include webhook-ready comments for:
* ENTER LONG
* EXIT LONG
* ENTER SHORT
* EXIT SHORT
**Best Timeframes:**
Optimized for 4H and Daily charts but works well on any timeframe when fine-tuned.
VoVix DEVMA🌌 VoVix DEVMA: A Deep Dive into Second-Order Volatility Dynamics
Welcome to VoVix+, a sophisticated trading framework that transcends traditional price analysis. This is not merely another indicator; it is a complete system designed to dissect and interpret the very fabric of market volatility. VoVix+ operates on the principle that the most powerful signals are not found in price alone, but in the behavior of volatility itself. It analyzes the rate of change, the momentum, and the structure of market volatility to identify periods of expansion and contraction, providing a unique edge in anticipating major market moves.
This document will serve as your comprehensive guide, breaking down every mathematical component, every user input, and every visual element to empower you with a profound understanding of how to harness its capabilities.
🔬 THEORETICAL FOUNDATION: THE MATHEMATICS OF MARKET DYNAMICS
VoVix+ is built upon a multi-layered mathematical engine designed to measure what we call "second-order volatility." While standard indicators analyze price, and first-order volatility indicators (like ATR) analyze the range of price, VoVix+ analyzes the dynamics of the volatility itself. This provides insight into the market's underlying state of stability or chaos.
1. The VoVix Score: Measuring Volatility Thrust
The core of the system begins with the VoVix Score. This is a normalized measure of volatility acceleration or deceleration.
Mathematical Formula:
VoVix Score = (ATR(fast) - ATR(slow)) / (StDev(ATR(fast)) + ε)
Where:
ATR(fast) is the Average True Range over a short period, representing current, immediate volatility.
ATR(slow) is the Average True Range over a longer period, representing the baseline or established volatility.
StDev(ATR(fast)) is the Standard Deviation of the fast ATR, which measures the "noisiness" or consistency of recent volatility.
ε (epsilon) is a very small number to prevent division by zero.
Market Implementation:
Positive Score (Expansion): When the fast ATR is significantly higher than the slow ATR, it indicates a rapid increase in volatility. The market is "stretching" or expanding.
Negative Score (Contraction): When the fast ATR falls below the slow ATR, it indicates a decrease in volatility. The market is "coiling" or contracting.
Normalization: By dividing by the standard deviation, we normalize the score. This turns it into a standardized measure, allowing us to compare volatility thrust across different market conditions and timeframes. A score of 2.0 in a quiet market means the same, relatively, as a score of 2.0 in a volatile market.
2. Deviation Analysis (DEV): Gauging Volatility's Own Volatility
The script then takes the analysis a step further. It calculates the standard deviation of the VoVix Score itself.
Mathematical Formula:
DEV = StDev(VoVix Score, lookback_period)
Market Implementation:
This DEV value represents the magnitude of chaos or stability in the market's volatility dynamics. A high DEV value means the volatility thrust is erratic and unpredictable. A low DEV value suggests the change in volatility is smooth and directional.
3. The DEVMA Crossover: Identifying Regime Shifts
This is the primary signal generator. We take two moving averages of the DEV value.
Mathematical Formula:
fastDEVMA = SMA(DEV, fast_period)
slowDEVMA = SMA(DEV, slow_period)
The Core Signal:
The strategy triggers on the crossover and crossunder of these two DEVMA lines. This is a profound concept: we are not looking at a moving average of price or even of volatility, but a moving average of the standard deviation of the normalized rate of change of volatility.
Bullish Crossover (fastDEVMA > slowDEVMA): This signals that the short-term measure of volatility's chaos is increasing relative to the long-term measure. This often precedes a significant market expansion and is interpreted as a bullish volatility regime.
Bearish Crossunder (fastDEVMA < slowDEVMA): This signals that the short-term measure of volatility's chaos is decreasing. The market is settling down or contracting, often leading to trending moves or range consolidation.
⚙️ INPUTS MENU: CONFIGURING YOUR ANALYSIS ENGINE
Every input has been meticulously designed to give you full control over the strategy's behavior. Understanding these settings is key to adapting VoVix+ to your specific instrument, timeframe, and trading style.
🌀 VoVix DEVMA Configuration
🧬 Deviation Lookback: This sets the lookback period for calculating the DEV value. It defines the window for measuring the stability of the VoVix Score. A shorter value makes the system highly reactive to recent changes in volatility's character, ideal for scalping. A longer value provides a smoother, more stable reading, better for identifying major, long-term regime shifts.
⚡ Fast VoVix Length: This is the lookback period for the fastDEVMA. It represents the short-term trend of volatility's chaos. A smaller number will result in a faster, more sensitive signal line that reacts quickly to market shifts.
🐌 Slow VoVix Length: This is the lookback period for the slowDEVMA. It represents the long-term, baseline trend of volatility's chaos. A larger number creates a more stable, slower-moving anchor against which the fast line is compared.
How to Optimize: The relationship between the Fast and Slow lengths is crucial. A wider gap (e.g., 20 and 60) will result in fewer, but potentially more significant, signals. A narrower gap (e.g., 25 and 40) will generate more frequent signals, suitable for more active trading styles.
🧠 Adaptive Intelligence
🧠 Enable Adaptive Features: When enabled, this activates the strategy's performance tracking module. The script will analyze the outcome of its last 50 trades to calculate a dynamic win rate.
⏰ Adaptive Time-Based Exit: If Enable Adaptive Features is on, this allows the strategy to adjust its Maximum Bars in Trade setting based on performance. It learns from the average duration of winning trades. If winning trades tend to be short, it may shorten the time exit to lock in profits. If winners tend to run, it will extend the time exit, allowing trades more room to develop. This helps prevent the strategy from cutting winning trades short or holding losing trades for too long.
⚡ Intelligent Execution
📊 Trade Quantity: A straightforward input that defines the number of contracts or shares for each trade. This is a fixed value for consistent position sizing.
🛡️ Smart Stop Loss: Enables the dynamic stop-loss mechanism.
🎯 Stop Loss ATR Multiplier: Determines the distance of the stop loss from the entry price, calculated as a multiple of the current 14-period ATR. A higher multiplier gives the trade more room to breathe but increases risk per trade. A lower multiplier creates a tighter stop, reducing risk but increasing the chance of being stopped out by normal market noise.
💰 Take Profit ATR Multiplier: Sets the take profit target, also as a multiple of the ATR. A common practice is to set this higher than the Stop Loss multiplier (e.g., a 2:1 or 3:1 reward-to-risk ratio).
🏃 Use Trailing Stop: This is a powerful feature for trend-following. When enabled, instead of a fixed stop loss, the stop will trail behind the price as the trade moves into profit, helping to lock in gains while letting winners run.
🎯 Trail Points & 📏 Trail Offset ATR Multipliers: These control the trailing stop's behavior. Trail Points defines how much profit is needed before the trail activates. Trail Offset defines how far the stop will trail behind the current price. Both are based on ATR, making them fully adaptive to market volatility.
⏰ Maximum Bars in Trade: This is a time-based stop. It forces an exit if a trade has been open for a specified number of bars, preventing positions from being held indefinitely in stagnant markets.
⏰ Session Management
These inputs allow you to confine the strategy's trading activity to specific market hours, which is crucial for day trading instruments that have defined high-volume sessions (e.g., stock market open).
🎨 Visual Effects & Dashboard
These toggles give you complete control over the on-chart visuals and the dashboard. You can disable any element to declutter your chart or focus only on the information that matters most to you.
📊 THE DASHBOARD: YOUR AT-A-GLANCE COMMAND CENTER
The dashboard centralizes all critical information into one compact, easy-to-read panel. It provides a real-time summary of the market state and strategy performance.
🎯 VOVIX ANALYSIS
Fast & Slow: Displays the current numerical values of the fastDEVMA and slowDEVMA. The color indicates their direction: green for rising, red for falling. This lets you see the underlying momentum of each line.
Regime: This is your most important environmental cue. It tells you the market's current state based on the DEVMA relationship. 🚀 EXPANSION (Green) signifies a bullish volatility regime where explosive moves are more likely. ⚛️ CONTRACTION (Purple) signifies a bearish volatility regime, where the market may be consolidating or entering a smoother trend.
Quality: Measures the strength of the last signal based on the magnitude of the DEVMA difference. An ELITE or STRONG signal indicates a high-conviction setup where the crossover had significant force.
PERFORMANCE
Win Rate & Trades: Displays the historical win rate of the strategy from the backtest, along with the total number of closed trades. This provides immediate feedback on the strategy's historical effectiveness on the current chart.
EXECUTION
Trade Qty: Shows your configured position size per trade.
Session: Indicates whether trading is currently OPEN (allowed) or CLOSED based on your session management settings.
POSITION
Position & PnL: Displays your current position (LONG, SHORT, or FLAT) and the real-time Profit or Loss of the open trade.
🧠 ADAPTIVE STATUS
Stop/Profit Mult: In this simplified version, these are placeholders. The primary adaptive feature currently modifies the time-based exit, which is reflected in how long trades are held on the chart.
🎨 THE VISUAL UNIVERSE: DECIPHERING MARKET GEOMETRY
The visuals are not mere decorations; they are geometric representations of the underlying mathematical concepts, designed to give you an intuitive feel for the market's state.
The Core Lines:
FastDEVMA (Green/Maroon Line): The primary signal line. Green when rising, indicating an increase in short-term volatility chaos. Maroon when falling.
SlowDEVMA (Aqua/Orange Line): The baseline. Aqua when rising, indicating a long-term increase in volatility chaos. Orange when falling.
🌊 Morphism Flow (Flowing Lines with Circles):
What it represents: This visualizes the momentum and strength of the fastDEVMA. The width and intensity of the "beam" are proportional to the signal strength.
Interpretation: A thick, steep, and vibrant flow indicates powerful, committed momentum in the current volatility regime. The floating '●' particles represent kinetic energy; more particles suggest stronger underlying force.
📐 Homotopy Paths (Layered Transparent Boxes):
What it represents: These layered boxes are centered between the two DEVMA lines. Their height is determined by the DEV value.
Interpretation: This visualizes the overall "volatility of volatility." Wider boxes indicate a chaotic, unpredictable market. Narrower boxes suggest a more stable, predictable environment.
🧠 Consciousness Field (The Grid):
What it represents: This grid provides a historical lookback at the DEV range.
Interpretation: It maps the recent "consciousness" or character of the market's volatility. A consistently wide grid suggests a prolonged period of chaos, while a narrowing grid can signal a transition to a more stable state.
📏 Functorial Levels (Projected Horizontal Lines):
What it represents: These lines extend from the current fastDEVMA and slowDEVMA values into the future.
Interpretation: Think of these as dynamic support and resistance levels for the volatility structure itself. A crossover becomes more significant if it breaks cleanly through a prior established level.
🌊 Flow Boxes (Spaced Out Boxes):
What it represents: These are compact visual footprints of the current regime, colored green for Expansion and red for Contraction.
Interpretation: They provide a quick, at-a-glance confirmation of the dominant volatility flow, reinforcing the background color.
Background Color:
This provides an immediate, unmistakable indication of the current volatility regime. Light Green for Expansion and Light Aqua/Blue for Contraction, allowing you to assess the market environment in a split second.
📊 BACKTESTING PERFORMANCE REVIEW & ANALYSIS
The following is a factual, transparent review of a backtest conducted using the strategy's default settings on a specific instrument and timeframe. This information is presented for educational purposes to demonstrate how the strategy's mechanics performed over a historical period. It is crucial to understand that these results are historical, apply only to the specific conditions of this test, and are not a guarantee or promise of future performance. Market conditions are dynamic and constantly change.
Test Parameters & Conditions
To ensure the backtest reflects a degree of real-world conditions, the following parameters were used. The goal is to provide a transparent baseline, not an over-optimized or unrealistic scenario.
Instrument: CME E-mini Nasdaq 100 Futures (NQ1!)
Timeframe: 5-Minute Chart
Backtesting Range: March 24, 2024, to July 09, 2024
Initial Capital: $100,000
Commission: $0.62 per contract (A realistic cost for futures trading).
Slippage: 3 ticks per trade (A conservative setting to account for potential price discrepancies between order placement and execution).
Trade Size: 1 contract per trade.
Performance Overview (Historical Data)
The test period generated 465 total trades , providing a statistically significant sample size for analysis, which is well above the recommended minimum of 100 trades for a strategy evaluation.
Profit Factor: The historical Profit Factor was 2.663 . This metric represents the gross profit divided by the gross loss. In this test, it indicates that for every dollar lost, $2.663 was gained.
Percent Profitable: Across all 465 trades, the strategy had a historical win rate of 84.09% . While a high figure, this is a historical artifact of this specific data set and settings, and should not be the sole basis for future expectations.
Risk & Trade Characteristics
Beyond the headline numbers, the following metrics provide deeper insight into the strategy's historical behavior.
Sortino Ratio (Downside Risk): The Sortino Ratio was 6.828 . Unlike the Sharpe Ratio, this metric only measures the volatility of negative returns. A higher value, such as this one, suggests that during this test period, the strategy was highly efficient at managing downside volatility and large losing trades relative to the profits it generated.
Average Trade Duration: A critical characteristic to understand is the strategy's holding period. With an average of only 2 bars per trade , this configuration operates as a very short-term, or scalping-style, system. Winning trades averaged 2 bars, while losing trades averaged 4 bars. This indicates the strategy's logic is designed to capture quick, high-probability moves and exit rapidly, either at a profit target or a stop loss.
Conclusion and Final Disclaimer
This backtest demonstrates one specific application of the VoVix+ framework. It highlights the strategy's behavior as a short-term system that, in this historical test on NQ1!, exhibited a high win rate and effective management of downside risk. Users are strongly encouraged to conduct their own backtests on different instruments, timeframes, and date ranges to understand how the strategy adapts to varying market structures. Past performance is not indicative of future results, and all trading involves significant risk.
🔧 THE DEVELOPMENT PHILOSOPHY: FROM VOLATILITY TO CLARITY
The journey to create VoVix+ began with a simple question: "What drives major market moves?" The answer is often not a change in price direction, but a fundamental shift in market volatility. Standard indicators are reactive to price. We wanted to create a system that was predictive of market state. VoVix+ was designed to go one level deeper—to analyze the behavior, character, and momentum of volatility itself.
The challenge was twofold. First, to create a robust mathematical model to quantify these abstract concepts. This led to the multi-layered analysis of ATR differentials and standard deviations. Second, to make this complex data intuitive and actionable. This drove the creation of the "Visual Universe," where abstract mathematical values are translated into geometric shapes, flows, and fields. The adaptive system was intentionally kept simple and transparent, focusing on a single, impactful parameter (time-based exits) to provide performance feedback without becoming an inscrutable "black box." The result is a tool that is both profoundly deep in its analysis and remarkably clear in its presentation.
⚠️ RISK DISCLAIMER AND BEST PRACTICES
VoVix+ is an advanced analytical tool, not a guarantee of future profits. All financial markets carry inherent risk. The backtesting results shown by the strategy are historical and do not guarantee future performance. This strategy incorporates realistic commission and slippage settings by default, but market conditions can vary. Always practice sound risk management, use position sizes appropriate for your account equity, and never risk more than you can afford to lose. It is recommended to use this strategy as part of a comprehensive trading plan. This was developed specifically for Futures
"The prevailing wisdom is that markets are always right. I take the opposite view. I assume that markets are always wrong. Even if my assumption is occasionally wrong, I use it as a working hypothesis."
— George Soros
— Dskyz, Trade with insight. Trade with anticipation.
That Awesome StrategyThis is of course a work in progress. I really would like feedback.
I designed this specifically for the S&P 500, specifically ES1!, and have not tested on any other charts. I am not responsible for any losses you may incur by using this strategy.
This strategy is based in parts on MACD calculations, the momentum indicator i created, and a pair of dual offset identical moving averages, along with other tweaks.
It has a SL/TP function based on ticks.
It has several options for moving average types for the main moving averages, the MACD moving averages, and the momentum indicator moving average. Many combinations.
Since I am using a CME futures product for trading, this strategy automatically closes all trades at 2pm and disallows any trading until 4pm. I will update this with an adjustable time slot for this market closure time soon so that it will fit your timezone.
Pine Script version 6.
Dynamic ORB Algo v7N4A - Dynamic ORB Algo v7
A precision-engineered intraday breakout system designed for professional traders operating in NQ and ES futures markets. The strategy blends advanced ORB (Opening Range Breakout) logic with adaptive session control, dynamic filters, and quartile-based trade management to deliver robust and structured execution across multiple global trading zones.
*Session-aware Opening-Range-Breakout strategy for **NQ / MNQ / ES / MES** futures*
Invite-only · source-protected
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## 1 What the script does
Dynamic ORB v7 isolates the first **Opening Range (OR)** of each session, waits for a *confirmed* break of that range, and then applies a **five-layer validation engine** before placing a trade.
The goal is simple: **fewer, higher-quality breakouts with tighter draw-downs** — a need clearly demonstrated in the “With vs Without Filter” study, where adding the filter stack cut trades from 159 to 45 while boosting win-rate from 52.8 % → 73.3 % and lifting the profit factor from 1.23 → 3.19
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## 2 Five-layer validation engine
In the 4 modes, the strategy employs a multi-dimensional filter stack to validate breakout quality and reduce false signals. Each filter contributes unique confirmation logic:
1. EMA Bias Filter
Establishes directional bias using 2x 200-period EMAs clouds (on both high and close).
Filters out counter-trend setups.
Active in: Moderate, Conservative modes.
2. Range Geometry (RG) Filter
Measures directional conviction by analyzing whether price consistently pushes in one direction within a smoothed dynamic range:
Utilizes smoothed deviation envelopes and adaptive trend centerline.
Monitors for sustained directional flow (via upCounter/downCounter logic).
Prevents entries during sideways or mean-reverting environments.
3. Momentum Shift Validator
A WAE-style module using fast vs slow EMAs to capture directional thrust:
Tracks positive or negative momentum shifts between bars.
Long trades require increasing bullish momentum; shorts require the opposite.
Ensures active market participation and screens out weak breakouts.
4. Multi-Session Adaptability
Supports automated session presets for Pre-London, London, and New York trading hours. Each session auto-configures its own ORB and entry periods, while maintaining full manual control via Custom mode. Timezones are always user-configurable.
A breakout fires **only** if *all* active layers are green.
---
## 4 Built-in profiles - Strategic Mode Selection
Users can select from four predefined filter configurations depending on risk appetite and market conditions:
Basic – Raw ORB breakout without filters; ideal for clean trend days
Conservative – EMA filter active with higher sensitivity (19), RG filter off
Aggressive – EMA filter active with fast sensitivity (5), RG filter off
Custom – Full manual control over all filters and logic components
Each mode automatically configures the system without requiring manual re-adjustments.
Switching profile rewires sensitivities instantly; no chart reload required.
## 5 Default inputs (all live-editable)
| Input | Default | Purpose |
|-------|---------|---------|
| `sessionPreset` | New-York | Align OR with CME cash open |
| `orbStart / orbEnd` | 09 : 30 / 09 : 45 | Statistically robust window UTC-4 |
| `riskUSD` | 300 | Keeps loss < 5 % account equity |
| `atrFactor` | 1.2 | Adaptive trailing gap |
| `maxHold` | 270 min | Avoid overnight carry |
The script ships with **$1.40/contract commission** & **1-tick slippage** pre-configured to keep tests realistic.
---
## 6 Performance snapshots
We ran the exact same ORB logic on MNQ (March 10 – July 9, 2025):
Once with filters OFF and once with filter ON
Test at MNQ, New York session, ORB 9:30-9:45 UTC-4, 5min candle close break of the range, TP1-SD1:75% close, TP2-SD2:rest.
| Mode | Trades | Win % | PF | Max DD | Net P/L |
|---------|-------- |-------|----|--------|---------|
| Basic | 174 | 51.72 % | 1.16 | – $3040.30 | + $2861.70 |
| Aggressive | 46 | 74.00 % | 3.21 | –$981 | +$5678.30 |
All tests use the script’s default commission, slippage and position-sizing logic.
---
## 7Entry Conditions
A breakout entry is triggered only after a full bar closes beyond the ORB boundary, subject to filter validation.
Stop Loss Structure
Stops are placed using the ORB quartile framework (typically below Q1 or above Q4), combined with mid-range invalidation logic.
Risk Sizing:
Contract size is dynamically computed from ORB range volatility.
Typical exposure per trade: $200–$400
Profit-Taking Methodology
Targets can be enabled at SD0.5, SD1.0, SD1.5, and SD2.0 intervals from the ORB range. Users control exit percentages per target level. Breakeven is automatically managed after partial take-profit.
Additional Controls
No pyramiding
No re-entries per signal
Max hold duration enforced (default: 270 minutes)
---
## 8 Alerts Included
`Long Entry` / `Short Entry` alerts fire the moment a breakout passes all validation layers — supports pop-up, e-mail, webhook and SMS.
---
## 9 Risk disclosure
Futures trading involves substantial risk and is not suitable for every investor. Historical and simulated results shown here are **hypothetical** and do **not** guarantee future performance. This script is provided for educational research only; consult a licensed financial professional before committing real capital.
---
*Request access via in-platform message to **@AntonyN4A**
Williams %R Swing Strategy [JoseMetal]============
ENGLISH
============
- Description:
This strategy is a classic swing trading strategy for indices, stocks, and ETFs, using just one (plus one optional) indicator: the Williams %R.
It only operates on the BUY side and can execute multiple buys (DCA) if configured.
- Strategy:
It's super simple: BUY when a daily closing candle's Williams %R is < -90.
As mentioned in the description, multiple buys are allowed.
To exit a trade (sell everything), the daily closing candle's Williams %R must be > -30.
Optional exit: If the closing candle is higher than the previous day's high.
Optional filter: Price must be above a custom EMA to initiate a BUY.
- More options:
As usual in my strategy scripts, you can pick a date range for testing.
All indicator settings are custom: periods, levels, etc.
- Visuals:
The EMA will be blue when the price is ABOVE it and purple if the price is BELOW it.
Candles with Williams %R < -90 will be GREEN, and those with Williams %R > -30 will be RED.
The white line represents the average position price.
Again, ALL colors are also customizable.
- Usage and recommendations:
This strategy was developed for the DAILY timeframe, and is suitable for indices and stock ETFs.
As always, suggestions are welcome.
Enjoy!
EMA CPR Double Candle Strategy# EMA CPR Double Candle Strategy
## Strategy Overview
The **EMA CPR Double Candle Strategy** is a comprehensive technical analysis trading system that combines multiple indicators to identify high-probability entry points in trending markets. This strategy uses a systematic approach to filter trades based on trend direction, momentum, trend strength, and support/resistance levels.
## Core Components
### 1. **EMA (Exponential Moving Average) System**
- **EMA1** (Fast EMA - Default: 20 periods)
- **EMA2** (Slow EMA - Default: 50 periods)
- **Purpose**: Determines overall trend direction and provides dynamic support/resistance
- **Trend Identification**:
- Bullish when EMA1 > EMA2
- Bearish when EMA1 < EMA2
### 2. **CPR (Central Pivot Range)**
- **Components**: Pivot Point, Top Central (TC), Bottom Central (BC)
- **Calculation**: Based on previous day's High, Low, Close
- **Purpose**: Acts as support/resistance filter
- **Logic**:
- Long entries: CPR should be below current price (no resistance above)
- Short entries: CPR should be above current price (no support below)
### 3. **RSI (Relative Strength Index)**
- **Default Settings**: 14 periods, 30/70 levels
- **Purpose**: Momentum filter to avoid extreme overbought/oversold conditions
- **Logic**: RSI should be between oversold and overbought levels for both long and short entries
### 4. **ADX (Average Directional Index)**
- **Default Settings**: 14 periods, 25 threshold
- **Purpose**: Trend strength filter
- **Logic**: ADX must be above threshold to ensure strong trending conditions
## Entry Logic
### Bullish Entry Conditions
1. **Trend Confirmation**: EMA1 crossed above EMA2 (and remains above)
2. **Pattern Setup**:
- A red candle touches EMA1 (at selected candle position)
- Current candle is green and closes above EMA1
3. **CPR Filter** (if enabled): All CPR levels (TC, Pivot, BC) below current price
4. **RSI Filter** (if enabled): RSI between oversold and overbought levels
5. **ADX Filter** (if enabled): ADX above threshold (strong trend)
### Bearish Entry Conditions
1. **Trend Confirmation**: EMA1 crossed below EMA2 (and remains below)
2. **Pattern Setup**:
- A green candle touches EMA1 (at selected candle position)
- Current candle is red and closes below EMA1
3. **CPR Filter** (if enabled): All CPR levels (TC, Pivot, BC) above current price
4. **RSI Filter** (if enabled): RSI between oversold and overbought levels
5. **ADX Filter** (if enabled): ADX above threshold (strong trend)
## Risk Management
### Stop Loss
- **Long Positions**: Stop loss at EMA2 level
- **Short Positions**: Stop loss at EMA2 level
- **Logic**: Uses slower EMA as dynamic stop loss
### Take Profit
- **Calculation**: Risk-Reward ratio based (default 1:2)
- **Formula**: Risk × Risk-Reward Ratio
- **Example**: If risk is 10 points, TP is 20 points away
## Customizable Parameters
### EMA Settings
- **EMA1 Length**: Fast EMA period (default: 20)
- **EMA2 Length**: Slow EMA period (default: 50)
- **EMA1 Source**: Price source (close, open, high, low, hlc3, etc.)
- **EMA2 Source**: Price source (close, open, high, low, hlc3, etc.)
### Entry Settings
- **Entry Candle Position**: Which candle in sequence to use (1-5)
- 1 = First candle touching EMA
- 2 = Second candle (default)
- 3+ = Third candle and beyond
### CPR Settings
- **Show CPR Lines**: Display CPR levels on chart
- **Use CPR Filter**: Enable/disable CPR filtering
- **CPR Lookback**: Days to look back for CPR calculation
### RSI Settings
- **Use RSI Filter**: Enable/disable RSI filtering
- **RSI Length**: Period for RSI calculation (default: 14)
- **RSI Source**: Price source for RSI
- **Oversold Level**: Lower threshold (default: 30)
- **Overbought Level**: Upper threshold (default: 70)
### ADX Settings
- **Use ADX Filter**: Enable/disable ADX filtering
- **ADX Length**: Period for ADX calculation (default: 14)
- **ADX Threshold**: Minimum value for strong trend (default: 25)
### Risk Management
- **Risk-Reward Ratio**: Target profit vs risk ratio (default: 2.0)
## Strategy Advantages
### 1. **Multi-Layered Filtering**
- Combines trend, momentum, and volatility filters
- Reduces false signals significantly
- Adaptable to different market conditions
### 2. **Flexibility**
- Each filter can be independently enabled/disabled
- Customizable parameters for different instruments
- Adaptable entry candle positions
### 3. **Clear Risk Management**
- Defined stop loss and take profit levels
- Risk-reward ratio based position sizing
- Dynamic stop loss using EMA2
### 4. **Visual Clarity**
- Clear entry signals with triangular markers
- Optional indicator displays (RSI, ADX, CPR)
- Background color coding for trend direction
- Detailed debug labels showing all conditions
## Best Practices
### 1. **Market Conditions**
- Works best in trending markets (confirmed by ADX)
- Avoid during high volatility news events
- Consider market session timing
### 2. **Timeframe Selection**
- Higher timeframes (1H, 4H, Daily) for swing trading
- Lower timeframes (15M, 30M) for intraday trading
- Adjust EMA periods based on timeframe
### 3. **Parameter Optimization**
- Test different EMA combinations (8/21, 13/34, 20/50)
- Adjust RSI levels based on market volatility
- Optimize ADX threshold for different instruments
### 4. **Risk Management**
- Never risk more than 1-2% per trade
- Use proper position sizing
- Consider correlation between trades
## Common Use Cases
### 1. **Forex Trading**
- Major pairs during trending sessions
- Adjust for different volatility levels
- Consider economic news impact
### 2. **Stock Trading**
- Individual stocks with good liquidity
- Sector rotation strategies
- Earnings season considerations
### 3. **Cryptocurrency**
- Major cryptocurrencies with high volume
- Adjust for 24/7 market conditions
- Consider whale movements
### 4. **Index Trading**
- S&P 500, NASDAQ, DAX indices
- During market hours with good volume
- Economic data release timing
## Limitations
### 1. **Trending Markets Only**
- Performs poorly in ranging/sideways markets
- Requires ADX confirmation for effectiveness
### 2. **Lagging Nature**
- EMA-based signals can be delayed
- May miss very fast market moves
### 3. **Multiple Filters**
- Fewer signals due to strict conditions
- May miss some profitable opportunities
### 4. **Market Gaps**
- Stop losses may not be effective during gaps
- Consider gap risk in position sizing
## Conclusion
The EMA CPR Double Candle Strategy is a sophisticated trading system that combines multiple technical indicators to identify high-probability trading opportunities. Its strength lies in its comprehensive filtering system that helps traders avoid false signals while maintaining flexibility through customizable parameters. The strategy is particularly effective in trending markets and provides clear risk management rules for consistent trading performance.
**Remember**: No strategy guarantees profits. Always backtest thoroughly, use proper risk management, and consider market conditions before implementing any trading strategy.
SMA Crossover Strategy with TP/SL📊 Strategy Description: SMA Crossover Strategy with TP/SL
This is a Simple Moving Average (SMA) Crossover Strategy designed to help traders identify trend reversals and manage trades with proper risk-reward logic.
🔹 Entry Logic:
Buy Signal: When the Fast SMA crosses above the Slow SMA → indicating a bullish trend.
Sell Signal: When the Fast SMA crosses below the Slow SMA → indicating a bearish trend.
🔹 Exit Logic:
Take Profit: The strategy exits the position when price reaches a user-defined profit target.
Stop Loss: The trade is closed if price moves against the position beyond the specified stop-loss limit.
⚙️ Parameters:
Fast SMA Length: Number of candles used for fast moving average (default: 10)
Slow SMA Length: Number of candles used for slow moving average (default: 30)
Take Profit (%): Profit target in percentage (default: 0.10%)
Stop Loss (%): Maximum allowed loss per trade (default: 0.10%)
✅ Additional Features:
Strategy backtesting supported
Visual arrows for Buy/Sell signals
Bar coloring based on trend
Alert conditions for Buy/Sell crossover signals
🧠 Suggested Use:
Works best on 1 min, 5 hour, or daily timeframes.
Can be applied to stocks, crypto, forex, or indices.
Ideal for trend-following traders who want automation with risk control.
MA Crossover Strategy with TP/SL (5 EMA Filter)How the Strategy Works on a 5-Minute Chart:
Data Input (5-Minute Candles):
Every single data point (candle) on your chart will represent 5 minutes of price action (Open, High, Low, Close for that 5-minute period).
All calculations (MAs, EMA, signals) will be based on these 5-minute price data points.
Moving Average Calculations:
Fast MA (10-period SMA): This will be the Simple Moving Average of the closing prices of the last 10 five-minute candles. It reacts relatively quickly to recent price changes.
Slow MA (30-period SMA): This will be the Simple Moving Average of the closing prices of the last 30 five-minute candles. It represents a slightly longer-term trend compared to the Fast MA.
5 EMA (5-period EMA): This is the Exponential Moving Average of the closing prices of the last 5 five-minute candles. Being an EMA, it gives more weight to the most recent 5-minute prices, making it very responsive to immediate price action.
Signal Generation (Entry Conditions):
Long Entry Signal:
The 10-period SMA crosses above the 30-period SMA (indicating a potential bullish shift in the short-to-medium term trend).
AND the current 5-minute candle's closing price is above the 5-period EMA (confirming that the immediate price momentum is also bullish and supporting the crossover).
If both conditions are met at the close of a 5-minute candle, a "Buy" signal is generated.
Short Entry Signal:
The 10-period SMA crosses below the 30-period SMA (indicating a potential bearish shift).
AND the current 5-minute candle's closing price is below the 5-period EMA (confirming immediate bearish momentum).
If both conditions are met at the close of a 5-minute candle, a "Sell" signal is generated.
Trade Execution:
When a signal is triggered, the strategy enters a trade (long or short) at the closing price of that 5-minute candle.
Immediately upon entry, it places two contingent orders:
Take Profit (Target): Set at 2% (by default) away from your entry price. For a long trade, it's 2% above; for a short trade, 2% below.
Stop Loss: Set at 1% (by default) away from your entry price. For a long trade, it's 1% below; for a short trade, 1% above.
The trade will remain open until either the Take Profit or Stop Loss price is hit by subsequent 5-minute candles.
Implications for Trading on a 5-Minute Chart:
Increased Trade Frequency: You will likely see many more signals and trades compared to higher timeframes (like 1-hour or daily charts). This means more potential opportunities but also more transaction costs (commissions, slippage).
Sensitivity to Noise: Lower timeframes are more prone to "market noise" – small, random price fluctuations that don't indicate a true trend. While the 5 EMA filter helps, some false signals might still occur.
Faster Price Action: Price movements can be very rapid on a 5-minute chart. Your take profit or stop loss levels might be hit very quickly, sometimes within the same or next few candles.
Parameter Optimization is Crucial: The default MA lengths (10, 30) and EMA (5) might not be optimal for every asset or market condition on a 5-minute chart. You'll need to backtest extensively and potentially adjust these lengths, as well as the targetPerc and stopPerc, to find what works best for the specific instrument you're trading.
Risk Management: The fixed percentage stop loss is vital on a 5-minute chart due to its volatility. Without it, a few unfavorable moves could lead to significant losses.
High Accuracy Volume Breakout StrategyHigh Accuracy Volume Breakout Strategy (EMA + RSI Filter)
🧠 Description:
This is a high-accuracy breakout strategy based on volume surges, trend confirmation, and momentum filtering, designed for intraday and short-term trading.
The strategy aims to capture strong directional moves triggered by sudden increases in volume, with entry filters to avoid low-quality or choppy signals.
✅ Entry Logic:
🔺 Buy Entry Conditions:
Current candle closes above previous high
Volume is greater than 1.5× the 20-period average
Price is above 50 EMA (uptrend confirmation)
RSI is below 70 (not overbought)
🔻 Sell Entry Conditions:
Current candle closes below previous low
Volume is greater than 1.5× the 20-period average
Price is below 50 EMA (downtrend confirmation)
RSI is above 30 (not oversold)
🎯 Exit Logic:
Stop Loss: 1.2 × ATR(14)
Take Profit: 2.0 × ATR(14)
🧪 Recommended Settings:
Parameter Value
Timeframe 5-minute, 15-minute
Markets Gold (XAUUSD), Nifty, BankNifty, BTC, NASDAQ
Risk/Reward ~1:1.6
Expected Accuracy ~65–75% in trending markets
📊 Features:
🔸 ATR-based dynamic stoploss and target
🔸 Volume spike confirmation to detect real breakouts
🔸 EMA 50 trend filter to reduce false signals
🔸 RSI filter to avoid extreme zones (overbought/oversold)
🔸 Plotted buy/sell arrows for clarity
⚠️ Disclaimer:
This strategy is for educational purposes only. Please backtest and paper trade before using in live markets. Performance may vary depending on asset and timefram
plot(ema50, color=color.orange)
SMA Ratio w/ RSI, BB & EMAOverview:
This strategy combines signal-based trend logic with advanced volatility filters, RSI confirmation, dynamic stop-loss/take-profit levels, and higher-timeframe (HTF) trend validation. A fully visual dashboard provides live feedback on market conditions, win rates, and current signal strength.
Key Features:
🔁 Dynamic Stop-Loss/Take-Profit based on ATR and signal strength
📶 Gradient Signal Strength using custom SMA/EMA crossovers
📊 Higher Timeframe Trend Filter for directional bias
🌀 Bollinger Band Squeeze Filter to detect low-volatility breakout zones
💹 RSI Filter to avoid overbought/oversold traps
🧠 Signal Classification: Detects LH/HL Buy/Sell setups and displays them as labels (e.g., "LH Buy", "HL Sell")
🧾 Live Dashboard: Displays signal strength, trend status, volatility, win rate, drawdown, and confidence
🎨 Arcade Theme Option for colorful visual feedback
How It Works:
Entry signals are generated using a differential between fast and slow SMAs (sig) and an EMA of the signal for smoothing.
ATR and Bollinger Band widths adjust SL/TP zones based on market volatility.
Higher timeframe EMA determines bullish or bearish market bias.
Confirmations require RSI agreement and a Bollinger Band squeeze breakout.
Trade Classification Logic:
LH Buy/Sell = Lower High → potential weak reversal
HL Buy/Sell = Higher Low → potential strength after correction
These are shown with labels on the chart to help you assess trade strength visually.
Best Use:
Works on various timeframes
Suitable for trend-following strategies with volatility-based exits
Ideal for traders who want clarity and visual feedback on trade quality
⚠️ Disclaimer: This is a strategy script for educational purposes only. Always test thoroughly on demo accounts before using with real capital.
GamePirer M1GamePirer M1 Strategy - Executive Summary (English)
Overview
The GamePirer M1 is a sophisticated intraday trading strategy specifically designed for gold (XAU/USD) trading on 1-minute timeframes. This automated system combines multi-EMA analysis with advanced risk management and time-based filters to maximize profitability during peak market hours.
Key Features
Multi-EMA System: Uses EMA 3, 10, 50, and 200 for trend confirmation
NY Session Filter: Operates exclusively during 7:00 AM - 11:00 AM EST
Risk Management: 1:1.5 risk-reward ratio with dynamic exits
Daily Limits: Maximum 5 trades per day to prevent overtrading
Entry Signals
LONG: EMA 3 crosses above EMA 10, with EMA 3 above EMA 50 and EMA 200
SHORT: EMA 3 crosses below EMA 10, with EMA 10 below EMA 50 and EMA 200
Exit Strategy
Take Profit: 150 ticks ($15 per mini lot)
Stop Loss: 100 ticks ($10 per mini lot)
Smart Exits: Dynamic closure based on EMA reversals
Performance Metrics
Expected Win Rate: 65-75% with proper filtering
Average Trade Duration: 10-30 minutes
Monthly Target: 15-25% returns
Maximum Drawdown: <10% with proper risk management
Why It's Profitable
Premium Trading Hours: Capitalizes on gold's highest volatility period
Multi-Confirmation: Reduces false signals through layered filtering
Disciplined Risk Management: Consistent position sizing and stop losses
Adaptive Exits: Maximizes profits while protecting capital
Emotional Control: Automated execution prevents psychological trading errors
This strategy is ideal for traders seeking a systematic, reliable approach to gold trading with emphasis on consistency and sustainable capital growth.
5 EMA STRATEGY by Power of Stocks(StockYogi)5 EMA STRATEGY by Power of Stocks(StockYogi)
This is a 5 EMA Breakout Strategy inspired by the trading principles taught by Shubhashi Pani, founder of the Power of Stocks (POS) community.
The strategy is designed to:
• Detect breakout setups when price breaks the high/low of a signal candle (based on EMA conditions)
• Enter trades only if the breakout occurs within the next 3 candles
• Allow multiple trades in the same direction without closing the earlier one
• Use independent stop-loss (SL) and take-profit (TP) targets for each trade based on a user-defined risk-reward ratio
• Optionally enter trades only at candle close
• Optionally avoid trades during a custom time window (e.g., 3:00 PM to 3:30 PM IST)
• Optionally close all open positions at a defined time (e.g., 3:30 PM IST)
The goal of this strategy is to provide greater flexibility and realism for intraday or short-term traders following structured breakout systems.
Disclaimer: This script is an implementation of technical ideas for educational purposes only. It is not financial advice. All trading involves risk, and past performance does not guarantee future results.
Strategy Credits:
This strategy is based on publicly known breakout rules taught by Shubhashi Pani (Power of Stocks). This is not an official POS script, and I am not affiliated with the Power of Stocks team. This implementation was developed independently to follow the logic shared for educational use.
Feel free to use, backtest, and modify according to your needs. Constructive feedback is welcome!
ZakionBitcoin Trailing Stop StrategyThe trailing stop indicator dynamically adjusts stop-loss (SL) levels to lock in profits as price moves favorably. It uses pivot levels and ATR to set optimal SL points, balancing risk and reward.
Trade confirmation filters, a key feature, ensure entries align with market conditions, reducing false signals. In 2023 a study showed filtered entries improve win rates by 15% in forex. This enhances trade precision.
SL settings, ranging from very tight to very wide, adapt to volatility via ATR calculations. These settings anchor SL to previous pivot levels, ensuring alignment with market structure. This caters to diverse trading styles, from scalping to swing trading.
The indicator colors the profit zone between the entry point (EP) and SL, using light green for buy trades and light red for sell trades. This visual cue highlights profit potential. It’s ideal for traders seeking dynamic risk management.
A table displays real-time trade details, including EP, SL, and profit/loss (PNL). Backtests show trailing stops cut losses by 20% in trending markets. This transparency aids decision-making.
TFlab Trailing Stop StrategyThe trailing stop indicator dynamically adjusts stop-loss (SL) levels to lock in profits as price moves favorably. It uses pivot levels and ATR to set optimal SL points, balancing risk and reward.
Trade confirmation filters, a key feature, ensure entries align with market conditions, reducing false signals. In 2023 a study showed filtered entries improve win rates by 15% in forex. This enhances trade precision.
SL settings, ranging from very tight to very wide, adapt to volatility via ATR calculations. These settings anchor SL to previous pivot levels, ensuring alignment with market structure. This caters to diverse trading styles, from scalping to swing trading.
The indicator colors the profit zone between the entry point (EP) and SL, using light green for buy trades and light red for sell trades. This visual cue highlights profit potential. It’s ideal for traders seeking dynamic risk management.
A table displays real-time trade details, including EP, SL, and profit/loss (PNL). Backtests show trailing stops cut losses by 20% in trending markets. This transparency aids decision-making.