Optimized EMA Ribbon Strategy v6 Based on EMA rotations, ADX we create a system of entering trades. Watch out for the sell and buy signals.
Indicadores e estratégias
Volume weighted average price band strategy [Kevin-Patrick]VWAP Bands strategy, Credit
VWAP Machine Learning Bands is an advanced indicator designed to enhance trading analysis by integrating VWAP with a machine learning-inspired adaptive smoothing approach. This tool helps traders identify trend-based support and resistance zones, predict potential price movements, and generate dynamic trade signals.
Key Features
Adaptive ML VWAP Calculation: Uses a dynamically adjusted SMA-based VWAP model with volatility sensitivity for improved trend analysis.
Forecasting Mechanism: The 'Forecast' parameter shifts the ML output forward, providing predictive insights into potential price movements.
Volatility-Based Band Adjustments: The 'Sigma' parameter fine-tunes the impact of volatility on ML smoothing, adapting to market conditions.
Multi-Tier Standard Deviation Bands: Includes two levels of bands to define potential breakout or mean-reversion zones.
Dynamic Trend-Based Colouring: The VWAP and ML lines change colour based on their relative positions, visually indicating bullish and bearish conditions.
Custom Signal Detection Modes: Allows traders to choose between signals from Band 1, Band 2, or both, for more tailored trade setups.
+ Strategy setting by Kevin-Patrick
Hash Supertrend [Hash Capital Research]Hash Supertrend Strategy by Hash Capital Research
Overview
Hash Supertrend is a professional-grade trend-following strategy that combines the proven Supertrend indicator with institutional visual design and flexible time filtering.
The strategy uses ATR-based volatility bands to identify trend direction and executes position reversals when the trend flips.This implementation features a distinctive fluorescent color system with customizable glow effects, making trend changes immediately visible while maintaining the clean, professional aesthetic expected in quantitative trading environments.
Entry Signals:
Long Entry: Price crosses above the Supertrend line (trend flips bullish)
Short Entry: Price crosses below the Supertrend line (trend flips bearish)
Controls the lookback period for volatility calculation
Lower values (7-10): More sensitive to price changes, generates more signals
Higher values (12-14): Smoother response, fewer signals but potentially delayed entries
Recommended range: 7-14 depending on market volatility
Factor (Default: 3.0)
Restricts trading to specific hours
Useful for avoiding low-liquidity sessions, overnight gaps, or known choppy periods
When disabled, strategy trades 24/7
Start Hour (Default: 9) & Start Minute (Default: 30)
Define when the trading session begins
Uses exchange timezone in 24-hour format
Example: 9:30 = 9:30 AM
End Hour (Default: 16) & End Minute (Default: 0)
Controls the vibrancy of the fluorescent color system
1-3: Subtle, muted colors
4-6: Balanced, moderate saturation
7-10: Bright, highly saturated fluorescent appearance
Affects both the Supertrend line and trend zones
Glow Effect (Default: On)
Adds luminous halo around the Supertrend line
Creates a multi-layered visual with depth
Particularly effective during strong trends
Glow Intensity (Default: 5.0)
Displays tiny fluorescent dots at entry points
Green dot below bar: Long entry
Red dot above bar: Short entry
Provides clear visual confirmation of executed trades
Show Trend Zone (Default: On)
Strong trending markets (2020-style bull runs, sustained bear markets)
Markets with clear directional bias
Instruments with consistent volatility patterns
Timeframes: 15m to Daily (optimal on 1H-4H)
Challenging Conditions:
Choppy, range-bound markets
Low volatility consolidation periods
Highly news-driven instruments with frequent gaps
Very low timeframes (1m-5m) prone to noise
Recommended AssetsCryptocurrency:
RSI Risk | AlgoFy TraderStrategy Overview:
A sophisticated trading system designed for traders seeking consistent performance through advanced risk management and precise market timing.
How It Works:
This system employs a multi-layered approach that combines:
Smart Signal Detection:
Advanced market analysis techniques to identify high-probability opportunities
Multiple confirmation layers for entry validation
Real-time market condition assessment
Comprehensive Risk Management:
Fixed percentage risk control ensuring no single trade can significantly impact your capital
Dynamic position sizing that automatically adjusts to market conditions
Multiple protection mechanisms working simultaneously
Key Features:
Controlled Risk Exposure: Set your maximum risk per trade with precision
Adaptive Protection: Automated trailing mechanisms that secure profits during favorable moves
Flexible Exit Strategies: Multiple take profit options tailored to different market scenarios
Professional Position Management: Institutional-grade risk calculation and money management
What Makes It Different:
Systematic approach that removes emotional decision-making
Built-in safeguards against overtrading and overexposure
Adaptive to various market conditions and volatility levels
Suitable for both conservative and experienced traders
User Benefits:
Peace of mind knowing your maximum risk is always controlled
Automated calculations eliminating manual position sizing errors
Flexible configuration to match your personal trading style
Professional-grade risk management accessible to all traders
Note: This system is designed for educational purposes and emphasizes capital preservation. Trading involves risk and may not be suitable for all investors. Always understand the risks involved and trade responsibly.
ShadoWS (LONG TERM CRYPTO BOT)(ANY CRYPTO)(30 min timeframe)This strategy works with any crypto asset. You can use any timeframe. since the strategy is rigidly tied to a 30-minute timeframe.
The strategy only works in long positions
recomend settings:
30 minutes timeframe. In the settings.
The margin for long and short positions should be set to 0. In the settings.
Saif Crypto strategy (upto 5K% in 6 years)Hey Traders,
I have tested this strategy for past 6 years on few crypto currencies specifically on BTC. I have tremendous results.
I thought to help traders who are in loss and can recover. But yes for sake of my financial at first it will be free for few days for your test/trial and then if you want complete code and permanently then will charge few dollars to motivate myself to work on other strategies as well.
Thanks.
15m & 1h Breakout — NY Prev Window Define a session anchored at 09:15 New York time, adjusted safely around weekends.
For each new session, store the high and low of the previous session’s 09:15→09:15 window.
During a configurable entry window (default: 09:30–11:15 NY time), watch for close-based breakouts:
Long when price closes above the previous window high + buffer.
Short when price closes below the previous window low − buffer.
Take exactly one trade per session, with fixed TP/SL in pips, and optional:
EMA trend filters for longs and shorts.
Range (volatility) filter on the previous window.
Option to skip Thursdays.
The strategy is designed mainly for intraday timeframes (e.g. 15m / 1h), but the logic is timeframe-agnostic.
SOP Strategy: 10H Cooldown + MACDThis strategy primarily targets price reversion to the baseline. To avoid overtrading in volatile markets, a 10-hour cooldown mechanism is built into the strategy. Additionally, a MACD indicator has been added to the code to help assess market momentum...
yangwen1.0This script is an initial concept of mine. I attempted to use the 5-minute chart as ticks for catching bottoms and picking tops, but it's unable to avoid whipsaws. I've tested many methods to evade whipsaws, but they ultimately result in poor entry points, causing me to miss the bottoms and tops of price swings. I sincerely hope someone with better approaches can discuss this with me. Thank you.
ai cruhsera pullback strategy to donchain lower and upperbands.. best for cypro lower timeframe scalping..
Crypto Edition 0.2This strategy is built on a trend-following approach, designed to capture sustained market momentum rather than predict reversals.its a pullback strategy. The goal is to stay aligned with the prevailing trend, ride strong moves, avoid ranging-market noiseE
Alt Trading: FuturesOne
The FuturesOne Indicator + Strategy will be continuously enhanced to ensure our users receive the most effective and profit-focused trading system at the best possible value. Version 0 (V0) of the FuturesOne Strategy is built on a refined Opening Range Breakout (ORB) framework, augmented with a quantitative regime-detection and filtering layer. This design allows users to tailor their approach: they may opt for consistent daily ORB opportunities or select a mode that applies quantitative filters to surface fewer, but higher-probability, trade setups.
Hybrid Sniper (Long + Short) [ThaiGPT]1. Layer 1: Direction Filter with EMA 200 (The Gatekeeper)
Role: The ultimate rule-keeper. It decides “which side is allowed today.”
Concept: EMA 200 is the long-term average widely used by institutions to separate Bull Market vs Bear Market.
Why it matters:
To prevent you from
“catching a falling knife” (Buying in a downtrend)
or “standing in front of a truck” (Shorting in an uptrend)
Rules:
When price is above the white EMA → Only Buy is unlocked (Sell button is destroyed)
When price is below the white EMA → Only Sell is unlocked (Buy button is destroyed)
2. Layer 2: Trend Confirmation with Supertrend (The Bodyguard)
Role: Risk controller and exit manager.
Concept: Calculated from volatility (ATR), creating dynamic support/resistance that follows price.
Why it matters:
Confirms trend strength: Even if price crosses EMA 200 upward, if Supertrend is still red, momentum isn’t strong enough → no entry.
Acts as Trailing Stop: Used as the exit line instead of a fixed TP.
When price runs far, you capture full profits.
When price pulls back and hits the line → instant exit.
3. Layer 3: Entry Timing with TDI (The Sniper Trigger)
Role: The timing precision engine—tells you “exactly which candle to enter.”
Concept: Uses smoothed RSI crossing its Signal Line to detect short-term momentum shifts.
Why it matters:
EMA + Supertrend alone give late signals.
TDI gives early momentum entries (early in the move), while the bigger trend still supports the direction.
🛠️ Entry Algorithm (Must Meet All 3 Conditions)
🟢 Long Setup
You need all 3 confirmations:
Market Environment: Price > EMA 200 (Uptrend)
Safety: Supertrend = Green (Buy pressure > Sell pressure)
Timing: TDI green line crosses up the red line (Short-term bullish momentum)
🔴 Short Setup
All 3 must be present:
Market Environment: Price < EMA 200 (Downtrend)
Safety: Supertrend = Red (Sell pressure > Buy pressure)
Timing: TDI green line crosses down the red line (Short-term bearish momentum)
💡 Strengths vs Weaknesses
✅ Strengths
Reduces Overtrading: Filters out 80–90% of bad trades.
Higher Win Rate: Always trades with the major trend.
Safer Shorts: Short entries rarely trigger unless the market truly breaks below EMA 200.
⚠️ Weaknesses
Weak in Wide Ranging/Sideways Markets
When price keeps crossing EMA 200 repeatedly, it may trigger alternating Buy/Sell signals → Whipsaws.
Fix: Pause the bot or switch to H4 timeframe.
Enters Later than Pure TDI
Since you must wait for EMA + Supertrend confirmation, it won’t catch exact tops/bottoms—but you trade safer conditions.
Gold Rush Hunter [Final Version] - ThaiGPTEnglish Translation — Core Principles of the “Supertrend Hunter: Long-Only Trend System”
1. The “Go With the Flow” Principle (Trend Following Bias)
Tools: EMA 200 + Long-Only Mode
Concept:
Gold (and assets like Bitcoin) naturally trend upward in the long run because they are inflationary assets.
Shorting against the long-term trend is like swimming upstream — exhausting and dangerous.
How it works in the code:
The system is strictly instructed to never open Sell positions.
→ This eliminates the risk of getting trapped in deep pullbacks that could wipe out 50% of an account.
Trades are taken only when price > EMA 200.
→ We buy only in confirmed bull conditions.
→ “Buy high to sell even higher.”
2. The “False Signal Filter” Principle (Volatility Filtering)
Tools: Supertrend (Factor 3.5) + ADX (> 25)
Concept:
The number one killer of traders is the sideways market — price moves inconsistently, up after you Sell and down after you Buy.
How it works in the code:
ADX > 25
→ Checks whether the market has real strength (momentum).
→ If ADX is low, the market is choppy → the system stays flat (“sit on your hands”).
Supertrend Factor 3.5
→ Higher than the standard 3.0 to widen the buffer.
→ Makes the system more resistant to market noise, preventing premature exits and stop-outs.
3. The “Let Profits Run” Principle
Tool: Supertrend Trailing Stop
Concept:
Most traders panic and close too early (“selling the piglet”), taking tiny profits out of fear.
This system is designed to catch the biggest possible moves.
How it works in the code:
There is no fixed Take Profit.
When price climbs, the system automatically lifts the Stop Loss upward using the Supertrend line.
As long as the trend holds, the system refuses to close the position.
Only when the trend genuinely reverses will the trade exit.
This allows the system to capture huge moves — sometimes 10,000+ points from a single entry.
4. The “Mathematics of Getting Rich” Principle (Asymmetric Risk/Reward)
Tools: Statistical structure (Win Rate vs Reward Ratio)
Concept:
You don’t need to win often — you just need to win big enough.
Your account statistics:
Win Rate: ~36%
→ You lose 6 trades, win only 4 trades (looks bad at first glance).
Reward Ratio: ~3.3R
→ Lose 1 unit, win 3.3 units.
Result:
10 trades →
Losses: −6
Wins: +13.2
Net profit: +7.2 units
This is why your account keeps growing despite losing more often than winning.
⚠️ Important Mindset Notes
Now that you understand the mechanics, you need to prepare for the realities:
• Boredom
The system may not trade for days or even weeks if:
ADX is too low
Price is below EMA 200
You must be patient.
• Losing streaks (Drawdowns)
With a 35% win rate, it is perfectly normal to hit 3–5 consecutive Stop Losses.
Do NOT modify the code or abandon the system during losing streaks.
Because big trends usually appear right after losing periods, and one large winning trade can recover every loss and add profit on top.
This is what a real “money-making system” looks like.
Not flashy. Not hyperactive.
But stable, scalable, and sustainable 🚀
AkdakTrading1Script using M5 Order Blocks with an FVG and the first blocks of an impulse to take trades with a 1:1 risk-reward.
Supertrend Hunter [Profit Booster] - ThaiGPT1. Trend Filtering with EMA 200 (The Big Picture)
Concept:
Think of it as checking the “wind direction” or “current of the river” before you start sailing.
How it works:
If price is above EMA 200 → Uptrend → system will ONLY look for BUY setups (no counter-trend selling allowed).
If price is below EMA 200 → Downtrend → system will ONLY look for SELL setups.
Why it matters:
It prevents you from shorting into a strong rally or buying into a heavy crash — exactly what often causes unnecessary losses (like what happened with your gold trades earlier).
2. Entry/Exit with Supertrend (Trigger & Trailing Stop)
Concept:
Supertrend uses ATR-based volatility to create a dynamic support/resistance line that trails behind price.
How it works:
Entry: When price breaks the Supertrend line and the color flips (e.g., red → green), momentum has shifted → take the trade immediately.
Exit:
This is the magic.
You do not set a fixed TP.
You ride the trend as long as the Supertrend stays the same color.
Example:
If you BUY gold and it rallies 100+ points, the Supertrend line rises with price and locks in profit.
You exit only when price touches the Supertrend line and flips back.
Benefit:
This solves the “early profit-taking” problem.
When the market trends strongly, you capture the entire move from beginning to end → true big wins.
ZanScritp 1:3 | 21.00-22.00 WIB | XAUUSD TF 5MStrategy Overview (Short & Simple Explanation)
This strategy focuses on taking high-quality trades during a specific hour of the day (20:00–21:00 WIB), when market movement is often more reliable. It looks for clear trends, avoids extreme market conditions, and only trades when volatility is healthy.
It uses a fixed Risk–Reward of 1:2, meaning every trade aims for twice the potential profit compared to the risk. Stop Loss (SL) and Take Profit (TP) levels are set immediately when a trade opens and never move afterward.
When a buy or sell signal appears, the strategy automatically draws:
An entry line
A Stop Loss line
A Take Profit line
A label showing the trade information
The system is designed to avoid “repainting,” ensuring trade entries stay consistent, while SL and TP always trigger exactly when price touches them—creating a stable and predictable trading workflow.
Target Audience
This strategy is designed for:
1. Beginner to Intermediate Traders
Those who want a simple, rule-based system focused on:
Clear trend direction
Fixed risk-reward
Easy-to-understand SL/TP logic
2. Scalpers & Intraday Traders
Traders who prefer:
Short trading windows
High-probability session filtering
Clean execution without repainting
CSS_LFU_v0.1Overview:
A multi-factor, market-adaptive swing strategy designed for intraday and short-term crypto trading. It synthesizes momentum, volatility, and trend signals into a unified composite score over a configurable lookback window. The strategy leverages a modular, signal-weighted approach to ensure robust entry timing while remaining compatible with human-in-the-loop validation and algorithmic execution.
Core Modules:
AJFFRSI (RSX-based Momentum): Measures smoothed price momentum with noise-reduction filters to detect crossovers relative to the QQE trailing stop.
QQE (Quantitative Qualitative Easing RSI): A modified RSI with a dynamic trailing stop that adapts to short-term volatility, identifying exhaustion and potential reversal points.
Keltner Channel Zones: Determines overextension relative to trend, providing buy/sell zones based on ATR-banded EMA.
WaveTrend Oscillator: Confirms short-term swings and market direction through smoothed oscillator cross signals.
Rolling Composite Score: Aggregates module signals over a unified lookback (e.g., 144 bars) to normalize noise and capture consistent trends.
Signal Logic:
Each module outputs a discrete score (+1 / 0 / -1).
The rolling composite score sums all module scores over the lookback period.
Long positions trigger when the rolling score meets or exceeds the long threshold.
Short positions trigger when the rolling score meets or falls below the short threshold.
Multi-dimensional signal aggregation reduces false positives from single indicators.
Rolling lookback ensures score normalization across different volatility regimes.
Highly modular: easy to adapt modules or weights to different instruments or timeframes.
Fully compatible with automated execution pipelines, including custom exchange screener bots.
Use Case:
Ideal for quant-driven altcoin or multi-asset strategies where high-frequency validation is critical and sequential module weighting enhances trend flip detection.
STRATEGY 1 │ Red Dragon │ Model 1 │ Pro │ [Titans_Invest]The Red Dragon Model 1 is a fully automated trading strategy designed to operate BTC/USDT.P on the 4-hour chart with precision, stability, and consistency. It was built to deliver reliable behavior even during strong market movements, maintaining operational discipline and avoiding abrupt variations that could interfere with the trader’s decision-making.
Its core is based on a professionally engineered logical structure that combines trend filters, confirmation criteria, and balanced risk management. Every component was designed to work in an integrated way, eliminating noise, avoiding unnecessary trades, and protecting capital in critical moments. There are no secret mechanisms or hidden logic: everything is built to be objective, clean, and efficient.
Even though it is based on professional quantitative engineering, Red Dragon Model 1 remains extremely simple to operate. All logic is clearly displayed and fully accessible within TradingView itself, making it easy to understand for both beginners and experienced traders. The structure is organized so that any user can quickly view entry conditions, exit criteria, additional filters, adjustable parameters, and the full mechanics behind the strategy’s behavior.
In addition, the architecture was built to minimize unnecessary complexity. Parameters are straightforward, intuitive, and operate in a balanced way without requiring deep adjustments or advanced knowledge. Traders have full freedom to analyze the strategy, understand the logic, and make personal adaptations if desired—always with total transparency inside TradingView.
The strategy was also designed to deliver consistent operational behavior over the long term. Its confirmation criteria reduce impulsive trades; its filters isolate noise; and its overall logic prioritizes high-quality entries in structured market movements. The goal is to provide a stable, clear, and repeatable flow—essential characteristics for any medium-term quantitative approach.
Combining clarity, professional structure, and ease of use, Red Dragon Model 1 offers a solid foundation both for users who want a ready-to-use automated strategy and for those looking to study quantitative models in greater depth.
This entire project was built with extreme dedication, backed by more than 14,000 hours of hands-on experience in Pine Script, continuously refining patterns, techniques, and structures until reaching its current level of maturity. Every line of code reflects this long process of improvement, resulting in a strategy that unites professional engineering, transparency, accessibility, and reliable execution.
🔶 MAIN FEATURES
• Fully automated and robust: Operates without manual intervention, ideal for traders seeking consistency and stability. It delivers reliable performance even in volatile markets thanks to the solid quantitative engineering behind the system.
• Multiple layers of confirmation: Combines 10 key technical indicators with 15 adaptive filters to avoid false signals. It only triggers entries when all trend, market strength, and contextual criteria align.
• Configurable and adaptable filters: Each of the 15 filters can be enabled, disabled, or adjusted by the user, allowing the creation of personalized statistical models for different assets and timeframes. This flexibility gives full freedom to optimize the strategy according to individual preferences.
• Clear and accessible logic: All entry and exit conditions are explicitly shown within the TradingView parameters. The strategy has no hidden components—any user can quickly analyze and understand each part of the system.
• Integrated exclusive tools: Includes complete backtest tables (desktop and mobile versions) with annualized statistics, along with real-time entry conditions displayed directly on the chart. These tools help monitor the strategy across devices and track performance and risk metrics.
• No repaint: All signals are static and do not change after being plotted. This ensures the trader can trust every entry shown without worrying about indicators rewriting past values.
🔷 ENTRY CONDITIONS & RISK MANAGEMENT
Red Dragon Model 1 triggers buy (long) or sell (short) signals only when all configured conditions are satisfied. For example:
• Volume:
• The system only trades when current volume exceeds the volume moving average multiplied by a user-defined factor, indicating meaningful market participation.
• RSI:
• Confirms bullish bias when RSI crosses above its moving average, and bearish bias when crossing below.
• ADX:
• Enters long when +DI is above –DI with ADX above a defined threshold, indicating directional strength to the upside (and the opposite conditions for shorts).
• Other indicators (MACD, SAR, Ichimoku, Support/Resistance, etc.)
Each one must confirm the expected direction before a final signal is allowed.
When all bullish criteria are met simultaneously, the system enters Long; when all criteria indicate a bearish environment, the system enters Short.
In addition, the strategy uses fixed Take Profit and Stop Loss targets for risk control:
Currently: TP around 1.5% and SL around 2.0% per trade, ensuring consistent and transparent risk management on every position.
⚙️ INDICATORS
__________________________________________________________
1) 🔊 Volume: Avoids trading on flat charts.
2) 🍟 MACD: Tracks momentum through moving averages.
3) 🧲 RSI: Indicates overbought or oversold conditions.
4) 🅰️ ADX: Measures trend strength and potential entry points.
5) 🥊 SAR: Identifies changes in price direction.
6) ☁️ Cloud: Accurately detects changes in market trends.
7) 🌡️ R/F: Improves trend visualization and helps avoid pitfalls.
8) 📐 S/R: Fixed support and resistance levels.
9)╭╯MA: Moving Averages.
10) 🔮 LR: Forecasting using Linear Regression.
__________________________________________________________
🟢 ENTRY CONDITIONS 🔴
__________________________________________________________
IF all conditions are 🟢 = 📈 Long
IF all conditions are 🔴 = 📉 Short
__________________________________________________________
🚨 CURRENT TRIGGER SIGNAL 🚨
__________________________________________________________
🔊 Volume
🟢 LONG = (volume) > (MA_volume) * (Volume Mult)
🔴 SHORT = (volume) > (MA_volume) * (Volume Mult)
🧲 RSI
🟢 LONG = (RSI) > (RSI_MA)
🔴 SHORT = (RSI) < (RSI_MA)
🟢 ALL ENTRY CONDITIONS AVAILABLE 🔴
__________________________________________________________
🔊 Volume
🟢 LONG = (volume) > (MA_volume) * (Volume Mult)
🔴 SHORT = (volume) > (MA_volume) * (Volume Mult)
🔊 Volume
🟢 LONG = (volume) > (MA_volume) * (Volume Mult) and (close) > (open)
🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) and (close) < (open)
🍟 MACD
🟢 LONG = (MACD) > (Signal Smoothing)
🔴 SHORT = (MACD) < (Signal Smoothing)
🧲 RSI
🟢 LONG = (RSI) < (Upper)
🔴 SHORT = (RSI) > (Lower)
🧲 RSI
🟢 LONG = (RSI) > (RSI_MA)
🔴 SHORT = (RSI) < (RSI_MA)
🅰️ ADX
🟢 LONG = (+DI) > (-DI) and (ADX) > (Treshold)
🔴 SHORT = (+DI) < (-DI) and (ADX) > (Treshold)
🥊 SAR
🟢 LONG = (close) > (SAR)
🔴 SHORT = (close) < (SAR)
☁️ Cloud
🟢 LONG = (Cloud A) > (Cloud B)
🔴 SHORT = (Cloud A) < (Cloud B)
☁️ Cloud
🟢 LONG = (Kama) > (Kama )
🔴 SHORT = (Kama) < (Kama )
🌡️ R/F
🟢 LONG = (high) > (UP Range) and (upward) > (0)
🔴 SHORT = (low) < (DOWN Range) and (downward) > (0)
🌡️ R/F
🟢 LONG = (high) > (UP Range)
🔴 SHORT = (low) < (DOWN Range)
📐 S/R
🟢 LONG = (close) > (Resistance)
🔴 SHORT = (close) < (Support)
╭╯MA2️⃣
🟢 LONG = (Cyan Bar MA2️⃣)
🔴 SHORT = (Red Bar MA2️⃣)
╭╯MA2️⃣
🟢 LONG = (close) > (MA2️⃣)
🔴 SHORT = (close) < (MA2️⃣)
╭╯MA2️⃣
🟢 LONG = (Positive MA2️⃣)
🔴 SHORT = (Negative MA2️⃣)
__________________________________________________________
🎯 TP / SL 🛑
__________________________________________________________
🎯 TP: 1.5 ％
🛑 SL: 2.0 ％
__________________________________________________________
🪄 UNIQUE FEATURES OF THIS STRATEGY
____________________________________
1) 𝄜 Table Backtest for Mobile.
2) 𝄜 Table Backtest for Computer.
3) 𝄜 Table Backtest for Computer & Annual Performance.
4) 𝄜 Live Entry Conditions.
1) 𝄜 Table Backtest for Mobile.
2) 𝄜 Table Backtest for Computer.
3) 𝄜 Table Backtest for Computer & Annual Performance.
4) 𝄜 Live Entry Conditions.
_____________________________
𝄜 BACKTEST / PERFORMANCE 𝄜
_____________________________
• Net Profit: +634.47%, Maximum Drawdown: -18.44%.
🪙 PAIR / TIMEFRAME ⏳
🪙 PAIR: BINANCE:BTCUSDT.P
⏳ TIME: 4 hours (240m)
✅ ON ☑️ OFF
✅ LONG
✅ SHORT
🎯 TP / SL 🛑
🎯 TP: 1.5 (％)
🛑 SL: 2.0 (％)
⚙️ CAPITAL MANAGEMENT
💸 Initial Capital: 10000 $ (TradingView)
💲 Order Size: 10 ％ (Of Equity)
🚀 Leverage: 10 x (Exchange)
💩 Commission: 0.03 ％ (Exchange)
📆 BACKTEST
🗓️ Start: Setember 24, 2019
🗓️ End: November 21, 2025
🗓️ Days: 2250
🗓️ Yers: 6.17
🗓️ Bars: 13502
📊 PERFORMANCE
💲 Net Profit: + 63446.89 $
🟢 Net Profit: + 634.47 ％
💲 DrawDown Maximum: - 10727.48 $
🔴 DrawDown Maximum: - 18.44 ％
🟢 Total Closed Trades: 1042
🟡 Percent Profitable: 63.92 ％
🟡 Profit Factor: 1.247
💲 Avg Trade: + 60.89 $
⏱️ Avg # Bars in Trades
🕯️ Avg # Bars: 4
⏳ Avg # Hrs: 15
✔️ Trades Winning: 666
❌ Trades Losing: 376
✔️ Maximum Consecutive Wins: 11
❌ Maximum Consecutive Losses: 7
📺 Live Performance : br.tradingview.com
• Use this strategy on the recommended pair and timeframe above to replicate the tested results.
• Feel free to experiment and explore other settings, assets, and timeframes.
Simplified WMA Ribbon · Majority Rule StrategyThis strategy is a simplified WMA-ribbon “majority rule” system. It compares five fast WMAs (10–30) with five slow WMAs (70–90) and counts how many bullish or bearish pairs are strongly separated by a small ε-buffer. A long (short) position is opened only when a bullish (bearish) majority is reached and closed when that majority weakens or an opposite majority appears. Position size is calculated from a fixed USD amount and leverage, candles are colored by current position, and a mini dashboard shows the number of bullish/bearish pairs and the current status (LONG / SHORT / FLAT).
