Omega Market Mood Meter [OmegaTools]The Omega Market Mood Meter is a precision-built sentiment oscillator that captures the market’s emotional intensity through a multi-layered RSI system. Designed for traders who seek to align with the market's true behavioral state, it blends momentum readings with a brand-new, rarely-seen innovation: the Sentiment-Weighted Moving Average (WMA-Ω)—a trend filter that dynamically adjusts to the market’s psychological tone.
🧠 Market Mood Oscillator
At its core, the Ω 3M oscillator aggregates three RSI-based components:
RSI(9) on close — captures short-term tension;
RSI(21) on HLC3 — balances medium-term positioning;
RSI(50) on HL2 — reflects long-term directional weight.
Each input is scaled and weighted to contribute to a final oscillator centered around zero, with ±50 and ±100 acting as key sentiment boundaries. When values exceed ±100, the market is likely reaching emotional extremes—zones that often precede reversals or require caution.
Visual features include:
Dynamic Background Highlighting: automatically emphasizes extreme sentiment zones.
Reference Lines: plotted at ±100, ±50, and 0 for fast sentiment interpretation.
🔥 WMA-Ω: Sentiment-Weighted Moving Average
The standout innovation of this tool is the Weighted Market Mood Moving Average, or WMA-Ω—a proprietary calculation that averages price using the absolute value of sentiment as its weighting force. This approach gives greater importance to price during periods of strong emotional conviction (either bullish or bearish), resulting in a context-aware trend filter that reacts only when sentiment truly matters.
This technique:
Filters noise during low-volatility or indecisive conditions;
Enhances reliability by reacting to meaningful sentiment surges;
Offers a more psychologically-adjusted trend baseline compared to traditional MAs.
Visually:
When price is above WMA-Ω, a semi-transparent bullish fill highlights underlying strength;
When below, a bearish fill reveals dominant downward sentiment.
This feature is unique among public TradingView tools and provides an edge in identifying trend quality with psychological context.
✅ How to Use
Extreme Sentiment Zones (±100): Use as contrarian warning zones or signal dampeners.
Crosses of WMA-Ω: Treat these as psychological trend confirmations; price above indicates structurally bullish sentiment and vice versa.
Range-bound Bias: Between ±50, sentiment may be indecisive; watch for breakout or alignment with WMA-Ω.
Advanced Confluence: Combine with other Omega tools (e.g., Ω Bias Forecaster, Ω IV Walls) for powerful regime-based strategies.
Omega Market Mood Meter is ideal for discretionary and systematic traders who want a clean, multi-timeframe sentiment readout and a cutting-edge weighted trend engine grounded in market psychology.
Osciladores
ANDROMEDA - TrendSyncANDROMEDA - TrendSync
Pedro Canto - Portfolio Manager | CGA/CGE
OVERVIEW
Trend Sync is a multi-layered trend-following indicator designed to help traders identify high-probability trend continuation setups while avoiding low-quality entries caused by overbought or oversold market conditions.
This indicator combines the power of Moving Averages (MA), MACD , and a visual RSI-based filter to validate both trend direction and timing for entries. It's goal is simple: filter out noise and highlight only the most technically relevant buy and sell signals based on objective momentum and trend criteria.
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WALKTHROUGH
This indicator is built for traders seeking to operate in the direction of established trends. It's core principle is to identify and validate current trend conditions, and then signal entry opportunities during pullbacks to key moving averages.
Trend identification is achieved through the alignment of two moving averages. When these MAs are crossed and angled in the same direction, they confirm that a trend is in progress. To double-confirm trend direction, the MACD histogram is used—only. When both the MAs and MACD are aligned in the same direction, then the trend is considered valid.
Once all trend criteria are met, a dynamic coloring system is activated to visually reinforce the trend across the candles and moving averages.
To avoid poor entries during market exhaustion, an RSI-based filter is used. This short-term RSI highlights overbought or oversold zones, helping traders filter trades in extreme price conditions.
Only when the trend is validated and price pulls back to one of the MAs will a buy/sell signal be triggered, aligning momentum, price action and timing into a single actionable setup.
This combination ensures that each component plays a specific role:
i) Moving Averages define the trend
ii) MACD validates it
iii) RSI filters noise
iv) Intrabar price action triggers entries
This synchronism helps improve decision-making and entry timing, especially for swing and intraday traders.
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USE CASES
- Identifying trend continuation setups
- Filtering false signals during consolidation phases
- Avoiding trades in overbought or oversold zones
- Enhancing entry timing for both swing and intraday strategies
- Providing visual confirmation of trend strength and momentum alignment
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KEY FEATURES
1. Dual Moving Average Setup
The indicator allows full customization of two moving averages (MA1 and MA2), supporting both EMA and SMA types. The slope of the longer MA (MA2) acts as an essential trend filter, ensuring signals are only generated when the market shows clear directional bias.
2. MACD Histogram Trend Confirmation
A classic MACD Histogram calculation is used to validate the momentum of the prevailing trend.
- Bullish Trend: Histogram > 0
- Bearish Trend: Histogram < 0
This step filters out counter-trend signals and ensures trades are aligned with momentum.
3. Intrabar Price Trigger
Unlike standard crossover systems, this indicator waits for intrabar price action to trigger entries:
- Buy Signal: Price crosses below one of the MAs during an uptrend (dip-buy logic)
- Sell Signal: Price crosses above one of the MAs during a downtrend (rally-sell logic)
This intrabar trigger improves entry timing and helps capture retracement-based opportunities.
4. RSI Visual Filter
A short-term RSI is plotted and color-coded to visually highlight overbought and oversold conditions, acting as a discretionary filter for users to avoid low-probability trades during exhaustion points.
5. Dynamic Coloring System
Bar Colors:
- Blue: Bullish trend
- Red: Bearish trend
- Orange: RSI Overbought/Oversold zones
MA Colors:
- Blue for bullish conditions
- Red for bearish conditions
- Gray for neutral/no-trend phases
6. Signal Markers and Alerts
Clear visual buy and sell markers are plotted directly on the chart.
Additionally, the indicator includes real-time alerts for both Buy and Sell signals, helping traders stay informed even when away from the screen.
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INPUTS AND CUSTOMIZATION OPTIONS
- Moving Average Types: EMA or SMA for both MA1 and MA2.
- MACD Settings: Customizable fast, slow, and signal periods.
- RSI Settings: Source, length, and overbought/oversold levels fully adjustable.
- Color Customization: Adjust RSI zone colors to suit your chart theme.
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DISCLAIMER
This indicator is a technical analysis tool designed for educational and informational purposes only. It should not be used as a standalone trading system. Always combine it with sound risk management, price action analysis, and, where applicable, fundamental context.
Past performance does not guarantee future results.
BB + RSI & Volume FilterThis script overlays three sets of technical filters on your price chart and generates signals when conditions align:
Bollinger Bands
Calculates upper, middle, and lower bands using either SMA or EMA.
Buy signal when price crosses up through the lower band.
Sell signal when price crosses down through the upper band.
Volume Filter
Computes a simple moving average of volume.
Ensures breakout moves have sufficient volume by requiring current volume > SMA(volume) × multiplier.
RSI Filter
Computes RSI on the chosen source.
Buy when RSI crosses above the oversold threshold.
Sell when RSI crosses below the overbought threshold.
Only plots RSI signals that pass the volume filter.
You get:
Bollinger entry/exit shapes (labeled “BB ↑/↓”).
RSI entry/exit shapes (labeled “RSI”) only when volume confirms the move.
Alerts for each signal type.
This combination reduces false breakouts by requiring both volatility (Bollinger) or momentum (RSI) and volume confirmation
RSI-BBGun-v6.1RSI BB Gun – Operator's Guide
“Eyes on target. Wait for the right moment. Then strike.”
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🎯 Mission Objective
RSI BB Gun identifies extreme market conditions using RSI and Bollinger Bands, then overlays trend and volatility intelligence so you know when the setup is real.
The ❌ is your target acquisition signal—price just moved from an extreme zone back into play. Now you’ve got a clean radar lock.
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📡 How to Operate
🟣 Step 1: Watch for the ❌'s (Black X = RSI & Bollinger Band Extremes Encountered)
• The Purple X means price and RSI are both stretched—and just snapped back into range.
• The target is now in the cross hairs and potentially ready for engagement.
🟥 Step 2: Confirm the Trend
• The thick ribbon tells you if the trend is with you:
o 🟢 Green = Uptrend. Focus on long setups.
o 🔴 Red = Downtrend. Focus on puts or short plays.
• Align with trend. Only engage when the field favors your position.
🔺 Step 3: Evaluate Signal Context
• Green Triangles = price just crossed below lower Bollinger Band (oversold).
• Red Triangles = price crossed above upper Band (overbought).
• Horizontal Lines Disappeared = The bar after the green or red horizontal line disappears means its time. We patiently wait for this as it means the momentum may be changing.
• These are your early indicators—they scout the setup on the GO / NO GO DECISION.
• ❌ + triangle + trend = clean shot.
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☁️ Avoid These Situations
• ❌ in a choppy/no-trend zone = false alarm. Don’t engage.
• Repeated black ❌s without a purple ❌confirmation = low conviction. Let it go.
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🪖 Operator's Mindset
“You don’t chase trades. You stalk them. When the ❌ flashes, the system has found a target. What you do next is up to your discipline, your tools, and your plan.”
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Note: This is a free version. Upcoming paid version includes multi-timeframes working together. Multiple strategies. Volatility meter. Make money and master the BB Gun so that you can elevate to the Snipers weapon.
🔒 Want More Firepower?
Upgraded version coming soon. Unlocks next-gen targeting tools:
• Multi-timeframe RSI intelligence in a live dashboard
• Precision-timed combo signals based on layered volatility + RSI logic
• Advanced trend filters, trade zone overlays, and sniper-level entry indicators
• Ideal for swing traders and options strategists who want clarity under pressure
💥 Budget-friendly. No subscription. Upgrade when you're ready to go Pro.
Tip: Make 4+ trades mastering this setup. Then use a small portion of the trades to gain more features. Always be in a position you cannot lose.
🆚 Why This Beats Standard RSI/BB Tools
Mission Feature Basic Indicators RSI Ribbon Lite
Trend Confirmation ❌ ✅ Ribbon Overlay
Multi-Timeframe Awareness ❌ ✅ 5-Timeframe RSI Grid
Volatility Confirmation ❌ ✅ Weighted ATR Scoring
Combo Signal Alerts ❌ ✅ ❌ Reentry Combo Alerts
TradingView Alerts ❌ ✅ Built-In Radar Ping
#rsi #bb #bollingerbands #hull ma #trend
SupertrendWill generate Good Signals but be remembered that you can only use when Breakout market is there
RSI StrategyDesigned for Options, this strategy uses the Relative Strength Index (RSI), a bounded‐oscillator (0–100) that compares a series’ average up‐moves with its average down‐moves over the last N bars (14 by default).
RSI < 30 → “oversold.”
RSI > 70 → “over-bought.”
ZYTX RSI SuperTrendZYTX RSI SuperTrend
ZYTX RSI + SuperTrend Strategy
The definitive integration of RSI and SuperTrend trend-following indicators, delivering exemplary performance in automated trading bots.
ALIP FX Smart Scalper – Precision for 1-Min TradersALIP FX Smart Scalper – Precision for 1-Min Traders
Looking for a powerful and clean scalping tool built for the 1-minute chart?
This indicator is engineered for serious scalpers who demand high accuracy, zero repaint, and trend-aligned signals.
✅ Key Features:
🔹 Trend-based filtering (EMA logic)
🔹 RSI + ATR + Slope conditions
🔹 No repaint – signals appear only on closed candles
🔹 Buy & Sell alerts with label and audio
🔹 Works best on BTC, NAS100, Gold (1m/5m TF)
💡 Why It Works:
The ALIP FX Smart Scalper ignores weak noise signals and only highlights clean trend-following opportunities.
Perfect for traders who want fast decisions with logic, not luck.
📌 Live test it now on TradingView
🔗
📥 More tools & education: t.me
🔻 Powered by: ALIP FX
"Success Elevated. Trade Smarter."
#ALIPFX #ScalpingIndicator #NoRepaint #TradingTools #SmartScalper #BTCUSD #NASDAQ100 #Gold
RSI + Divergence + Stochastic RSIsimple indicator combining RSI and STOCH
RSI indicator (with divergence detection, smoothing, and optional Bollinger Bands)
Stochastic RSI indicator (with %K and %D lines, bands, and background fill)
RAHA Strategy - LongThe RAHA Long Strategy is based on a unique average formula called RAHA – an acronym for:
Roni's Adjusted Hybrid Average – a formula developed by Aharon Roni Pesach.
What is RAHA?
This is an adjusted hybrid average that gives different weight to outliers:
The extreme values (particularly high or low) receive a lower weight.
The calculation is based on the standard deviation and average of the data.
This results in a more sensitive but stable average that does not ignore outliers – but rather considers them in proportion.
The RAHA Long Strategy identifies a positive trend and enters when clear technical conditions are met, such as an upward slope of RAHA 40, RAHA 10 crossing above RAHA 20, and the absence of a sequence of 3 green candles.
Entry is also made in the exceptional case of a green candle below the Bollinger Band.
The position size is determined by 1% of the capital divided by the stop.
The exit is carried out by a stop below the low, or under additional conditions above the profit target (TP).
אסטרטגיית הלונג RAHA מבוססת על נוסחת ממוצע ייחודית בשם RAHA – ראשי תיבות של :
Roni's Adjusted Hybrid Average – נוסחה שפיתח אהרון רוני פסח.
מהו RAHA?
מדובר בממוצע היברידי מתואם המעניק משקל שונה לנתונים חריגים:
הערכים הקיצוניים (גבוהים או נמוכים במיוחד) מקבלים משקל נמוך יותר.
החישוב מבוסס על סטיית התקן והממוצע של הנתונים.
כך מתקבל ממוצע רגיש אך יציב יותר, שאינו מתעלם מהחריגים – אלא מתחשב בהם בפרופורציה.
אסטרטגיית הלונג RAHA מזהה מגמה חיובית ומבצעת כניסה כשמתקיימים תנאים טכניים ברורים, כמו שיפוע עולה של RAHA 40, חציית RAHA 10 מעל RAHA 20, והיעדר רצף של 3 נרות ירוקים.
הכניסה מבוצעת גם במקרה חריג של נר ירוק מתחת לרצועת בולינגר.
גודל הפוזיציה נקבע לפי 1% מההון חלקי הסטופ.
היציאה מבוצעת לפי סטופ מתחת לנמוך, או בתנאים נוספים מעל יעד הרווח (TP).
Breakout with ATR & Volume Filter🚀 Introducing Our New Breakout Strategy: Powerful Signals with ATR & Volume Filters
Designed specifically for the fast and volatile crypto markets, this breakout strategy delivers robust signals on Bitcoin’s 15-minute charts.
🌟 Key Features:
ATR filter ensures entries only during high volatility periods, reducing false signals.
Volume confirmation captures strong and reliable breakouts.
20-period support/resistance breakout levels identify early trend moves.
Scientifically optimized stop loss and take profit levels provide effective risk management.
Simple, clear, and effective — ideal for both beginners and professional traders.
🔥 Why Choose This Strategy?
It filters out market noise and focuses on genuine momentum moves, increasing your chances of success by leveraging real-time volatility and volume conditions.
📈 How to Use
Easily deploy on TradingView with customizable parameters. Perfect for traders who need quick, confident decisions in crypto markets.
Get closer to success in BTC trading with reliable signals and smart risk management!
Victor Osimhen Galatasaray⚽ Victor Osimhen Strategy – Ride the Momentum, Rule the Market!
Hello dear trader! 👋
We’re proud to introduce a strategy designed for crypto markets, built to be fast, smart, and resilient — just like its namesake:
📈 The Victor Osimhen Strategy ⚽
Much like the unstoppable striker himself, this strategy:
Kicks off early
Strikes at the right moment
Knows exactly when to exit the field
🧠 What Powers the Strategy?
Victor Osimhen is based on three proven elements:
WaveTrend – A powerful momentum signal for entry
Volatility Stop (VStop) – A trend direction filter
Advanced Trailing Stop – A smart exit that adapts to price action
With full Multi-Timeframe (MTF) support, it tracks the bigger picture while reacting to finer movements:
For example: While viewing the 4H chart, it listens to signals from the 2H timeframe, offering early and more accurate entries/exits.
🪙 Why Does It Work Better in Crypto?
✅ It’s built for the high volatility and 24/7 nature of crypto markets
✅ It reacts fast to momentum shifts
✅ It filters out noise using trend confirmation
✅ And it adapts dynamically with its advanced trailing exit logic
🎁 A Friendly Request
If this strategy brings you profits — and if you feel like sharing the joy —
we’d be truly happy if you considered donating a portion to Galatasaray Sports Club 💛❤️
(Of course, this is entirely voluntary and from the heart!)
🔒 Final Reminder
This strategy isn’t magic — but when used with discipline, patience, and risk control, it can be a game-changer.
Please test it in demo mode first, and only go live when you're ready.
🏁 Good Luck!
With the Victor Osimhen Strategy, you're now equipped to:
✅ Catch early momentum
✅ Stay aligned with the trend
✅ Protect your profits with style
Wishing you strong signals and solid trades!
Tsallis Entropy Market RiskTsallis Entropy Market Risk Indicator
What Is It?
The Tsallis Entropy Market Risk Indicator is a market analysis tool that measures the degree of randomness or disorder in price movements. Unlike traditional technical indicators that focus on price patterns or momentum, this indicator takes a statistical physics approach to market analysis.
Scientific Foundation
The indicator is based on Tsallis entropy, a generalization of traditional Shannon entropy developed by physicist Constantino Tsallis. The Tsallis entropy is particularly effective at analyzing complex systems with long-range correlations and memory effects—precisely the characteristics found in crypto and stock markets.
The indicator also borrows from Log-Periodic Power Law (LPPL).
Core Concepts
1. Entropy Deficit
The primary measurement is the "entropy deficit," which represents how far the market is from a state of maximum randomness:
Low Entropy Deficit (0-0.3): The market exhibits random, uncorrelated price movements typical of efficient markets
Medium Entropy Deficit (0.3-0.5): Some patterns emerging, moderate deviation from randomness
High Entropy Deficit (0.5-0.7): Strong correlation patterns, potentially indicating herding behavior
Extreme Entropy Deficit (0.7-1.0): Highly ordered price movements, often seen before significant market events
2. Multi-Scale Analysis
The indicator calculates entropy across different timeframes:
Short-term Entropy (blue line): Captures recent market behavior (20-day window)
Long-term Entropy (green line): Captures structural market behavior (120-day window)
Main Entropy (purple line): Primary measurement (60-day window)
3. Scale Ratio
This measures the relationship between long-term and short-term entropy. A healthy market typically has a scale ratio above 0.85. When this ratio drops below 0.85, it suggests abnormal relationships between timeframes that often precede market dislocations.
How It Works
Data Collection: The indicator samples price returns over specific lookback periods
Probability Distribution Estimation: It creates a histogram of these returns to estimate their probability distribution
Entropy Calculation: Using the Tsallis q-parameter (typically 1.5), it calculates how far this distribution is from maximum entropy
Normalization: Results are normalized against theoretical maximum entropy to create the entropy deficit measure
Risk Assessment: Multiple factors are combined to generate a composite risk score and classification
Market Interpretation
Low Risk Environments (Risk Score < 25)
Market is functioning efficiently with reasonable randomness
Price discovery is likely effective
Normal trading and investment approaches appropriate
Medium Risk Environments (Risk Score 25-50)
Increasing correlation in price movements
Beginning of trend formation or momentum
Time to monitor positions more closely
High Risk Environments (Risk Score 50-75)
Strong herding behavior present
Market potentially becoming one-sided
Consider reducing position sizes or implementing hedges
Extreme Risk Environments (Risk Score > 75)
Highly ordered market behavior
Significant imbalance between buyers and sellers
Heightened probability of sharp reversals or corrections
Practical Application Examples
Market Tops: Often characterized by gradually increasing entropy deficit as momentum builds, followed by extreme readings near the actual top
Market Bottoms: Can show high entropy deficit during capitulation, followed by normalization
Range-Bound Markets: Typically display low and stable entropy deficit measurements
Trending Markets: Often show moderate entropy deficit that remains relatively consistent
Advantages Over Traditional Indicators
Forward-Looking: Identifies changing market structure before price action confirms it
Statistical Foundation: Based on robust mathematical principles rather than empirical patterns
Adaptability: Functions across different market regimes and asset classes
Noise Filtering: Focuses on meaningful structural changes rather than price fluctuations
Limitations
Not a Timing Tool: Signals market risk conditions, not precise entry/exit points
Parameter Sensitivity: Results can vary based on the chosen parameters
Historical Context: Requires some historical perspective to interpret effectively
Complementary Tool: Works best alongside other analysis methods
Enjoy :)
Bollinger Band + RSI Strategy ScannerVrushaNilansh Indicator for 15min. Trading Based on Bollinger Bands+RSI
MACD Ignored Candle SignalsGBI AND RBI WITH MACD CONFIRMATION
Gives buy and sell signals based on a simple candlestick pattern that co-aligns with the macd momentum. earliest signals based on the trend are usually the best entries
ZYTX SuperTrend V1ZYTX SuperTrend V1 Indicator
Multi-strategy intelligent rebalancing with >95% win rate
Enables 24/7 automated trading
Stochastics Momentum Index with Buy Dotsstokastik ve ema kesişimlerinde buy sinyali ile aşırı alım noktalarını belirleme.
BTC SmartMoney + SQZMOM + EMA + Cloud + Trailing Stop (v2.5)🚀 BTC 15-Minute Smart Strategy: SmartMoney + SQZMOM + EMA + Trailing Stop
Designed specifically for the fast-paced and volatile crypto market, this strategy is finely tuned to deliver maximum performance on Bitcoin’s 15-minute chart.
🌟 Key Features:
SmartMoney Concepts (SMC) based CHoCH signals to detect market structure shifts and capture early trend reversals.
SQZMOM (Squeeze Momentum Oscillator) to gauge strong volatility and momentum confluence.
50 & 200 EMA Cloud combining short-term and long-term trend filters for reliable market direction.
ATR-based and manually adjustable Trailing Stop for flexible and automated risk management.
Scientifically optimized Take Profit and Stop Loss levels to minimize losses and maximize gains.
Clear exit labels on chart for real-time trade tracking and decision making.
🔥 Why Choose This Strategy?
Provides fast and reliable signals on 15-minute timeframe, protecting you against sudden market moves.
Maximizes profits with trailing stops while keeping risks controlled.
Built on professional financial models, ideal for both beginners and experienced traders.
📈 How to Use
Easily deploy on TradingView with flexible parameters that adjust to your trading style. Automates entry and exit decisions based on real-time market conditions.
A powerful companion for traders who want a reliable yet aggressive approach to BTC trading on the 15-minute timeframe.
RAHA Strategy - Short
Roni's Adjusted Hybrid Average – a formula developed by Aharon Roni Pesach.
What is RAHA?
This is an adjusted hybrid average that gives different weight to outliers:
The extreme values (particularly high or low) receive a lower weight.
The calculation is based on the standard deviation and average of the data.
This results in a more sensitive but stable average that does not ignore outliers – but rather considers them in proportion.
The RAHA Short Strategy identifies a negative trend and enters when clear technical conditions are met, such as a downward slope of RAHA 40, RAHA 10 crossing below RAHA 20, and the absence of a sequence of 3 red candles.
Entry is also made in the exceptional case of a red candle above the Bollinger Band.
The position size is determined by 1% of the capital divided by the stop.
The exit is carried out by a stop above the high, or under additional conditions below the profit target (TP).
אסטרטגיית השורט RAHA מבוססת על נוסחת ממוצע ייחודית בשם RAHA – ראשי תיבות של:
Roni's Adjusted Hybrid Average – נוסחה שפיתח אהרון רוני פסח.
מהו RAHA?
מדובר בממוצע היברידי מתואם המעניק משקל שונה לנתונים חריגים:
הערכים הקיצוניים (גבוהים או נמוכים במיוחד) מקבלים משקל נמוך יותר.
החישוב מבוסס על סטיית התקן והממוצע של הנתונים.
כך מתקבל ממוצע רגיש אך יציב יותר, שאינו מתעלם מהחריגים – אלא מתחשב בהם בפרופורציה.
אסטרטגיית השורט RAHA מזהה מגמה שלילית ומבצעת כניסה כשמתקיימים תנאים טכניים ברורים, כמו שיפוע יורד של RAHA 40, חציית RAHA 10 מתחת ל‑RAHA 20, והיעדר רצף של 3 נרות אדומים.
הכניסה מבוצעת גם במקרה חריג של נר אדום מעל רצועת בולינגר.
גודל הפוזיציה נקבע לפי 1% מההון חלקי הסטופ.
היציאה מבוצעת לפי סטופ מעל הגבוה, או בתנאים נוספים מתחת ליעד הרווח (TP).
Strategy with DI+/DI-, ADX, RSI, MACD, EMA + Time Stop [EXP. 1]🧠 Concept & Purpose
This strategy combines several time-tested technical indicators—DI+/DI-, ADX, RSI, MACD, and long-term EMAs—to filter trend strength, momentum, and timing precision. The goal was to develop a multi-layered trend-following system suitable for low timeframes (tested on BTCUSDT 5m) while controlling risk with tight stop-losses, a high reward ratio, and a time-based exit to avoid long exposure in sideways markets.
⚙️ Components & Logic
• ADX + DI+/DI-: Confirm the presence and direction of a strong trend.
• RSI: Used to filter momentum bias. Buy signals require RSI > 55, sell signals < 45.
• MACD Histogram: Ensures entry is aligned with short-term momentum shifts.
• Strong Candle Filter: Filters out weak entries using candle body % strength.
• EMA 600 & EMA 2400: Define long-term trend bias. Entries only occur within 25 bars after EMA crossover in trend direction.
• Time-Based Stop: If a trade doesn’t move at least 0.75% in favor within 85 bars, it is closed to minimize stagnation.
• Reward-Risk Management: 1% stop-loss, 7.5:1 reward-to-risk ratio.
• One Signal Per Trend Shift: Only takes the first entry after each EMA cross.
📊 Strategy Settings & Backtest Conditions
• Initial Capital: $10,000
• Commission: 0.1% per trade
• Timeframe: 5-minute
• Test Range: Jan–Apr 2023
• Sample Size: Limited (⚠️ <10 trades – experimental phase)
Backtest Results (v1.0)
This version showed:
• ✅ 66.7% win rate on 3 trades
• 📉 P/L: +11,257.46 USDT (+112.57%)
• 🔻 Max drawdown: 5.03%
• 📈 Profit factor: 11.01
In an earlier test configuration:
• ❌ 5 trades, 0 wins
• 📉 -14.45% total P&L
• ⚠️ All losses hit the 1.5% stop
• ⚠️ Profit factor: 0.00
This contrast shows how sensitive the logic is to market context and parameter tuning.
💡 Purpose of Publication
This strategy is experimental and educational. It is open-sourced for transparency and to help other traders learn how complex indicator stacking may or may not work in real environments. The failed and improved tests are both part of the process.
⚠️ Disclaimer
This script is not financial advice. Please do your own research, forward-test it thoroughly, and adjust parameters based on your asset and timeframe.
OBV Osc (No Same-Bar Exit)//@version=5
strategy("OBV Osc (No Same-Bar Exit)", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100)
// === JSON ALERT STRINGS ===
callBuyJSON = 'ANSHUL '
callExtJSON = 'ANSHUL '
putBuyJSON = 'ANSHUL '
putExtJSON = 'ANSHUL '
// === INPUTS ===
length = input.int(20, title="OBV EMA Length")
sl_pct = input.float(1.0, title="Stop Loss %", minval=0.1)
tp_pct = input.float(2.0, title="Take Profit %", minval=0.1)
trail_pct = input.float(0.5, title="Trailing Stop %", minval=0.1)
// === OBV OSCILLATOR CALC ===
src = close
obv = ta.cum(ta.change(src) > 0 ? volume : ta.change(src) < 0 ? -volume : 0)
obv_ema = ta.ema(obv, length)
obv_osc = obv - obv_ema
// === SIGNALS ===
longCondition = ta.crossover(obv_osc, 0) and strategy.position_size == 0
shortCondition = ta.crossunder(obv_osc, 0) and strategy.position_size == 0
// === RISK SETTINGS ===
longStop = close * (1 - sl_pct / 100)
longTarget = close * (1 + tp_pct / 100)
shortStop = close * (1 + sl_pct / 100)
shortTarget = close * (1 - tp_pct / 100)
trailPoints = close * trail_pct / 100
// === ENTRY BAR TRACKING TO PREVENT SAME-BAR EXIT ===
var int entryBar = na
// === STRATEGY ENTRY ===
if longCondition
strategy.entry("Long", strategy.long)
entryBar := bar_index
alert(callBuyJSON, alert.freq_all)
label.new(bar_index, low, text="BUY CALL", style=label.style_label_up, color=color.new(color.green, 85), textcolor=color.black)
if shortCondition
strategy.entry("Short", strategy.short)
entryBar := bar_index
alert(putBuyJSON, alert.freq_all)
label.new(bar_index, high, text="BUY PUT", style=label.style_label_down, color=color.new(color.red, 85), textcolor=color.black)
// === EXIT ONLY IF BAR_INDEX > entryBar (NO SAME-BAR EXIT) ===
canExitLong = strategy.position_size > 0 and bar_index > entryBar
canExitShort = strategy.position_size < 0 and bar_index > entryBar
if canExitLong
strategy.exit("Exit Long", from_entry="Long", stop=longStop, limit=longTarget, trail_points=trailPoints, trail_offset=trailPoints)
if canExitShort
strategy.exit("Exit Short", from_entry="Short", stop=shortStop, limit=shortTarget, trail_points=trailPoints, trail_offset=trailPoints)
// === TRACK ENTRY/EXIT FOR ALERTS ===
posNow = strategy.position_size
posPrev = nz(strategy.position_size )
longExit = posPrev == 1 and posNow == 0
shortExit = posPrev == -1 and posNow == 0
if longExit
alert(callExtJSON, alert.freq_all)
label.new(bar_index, high, text="EXIT CALL", style=label.style_label_down, color=color.new(color.blue, 85), textcolor=color.black)
if shortExit
alert(putExtJSON, alert.freq_all)
label.new(bar_index, low, text="EXIT PUT", style=label.style_label_up, color=color.new(color.orange, 85), textcolor=color.black)
// === PLOTS ===
plot(obv_osc, title="OBV Oscillator", color=obv_osc > 0 ? color.green : color.red, linewidth=2)
hline(0, color=color.gray)
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BTCs RSI Dip & EMA Crossover AlertThis indicator helps you catch potential reversal opportunities after a stock or crypto asset becomes oversold.
🛠 How it works:
Watches RSI (Relative Strength Index)
First, it waits for RSI to dip below a level you choose (default is 30), which often signals the asset is oversold and due for a bounce.
Waits for Price Confirmation
After the RSI dip, the indicator watches for the first time price closes above both the 55 EMA and 200 EMA — a strong sign that momentum may be shifting upward.
Sends a “Buy” Signal
When that happens, the script:
Plots a green “Buy” label on the chart
Triggers an alert (labeled "Buy Indicator") so you’re notified immediately
⚙️ Customizable Inputs:
RSI threshold (e.g. 30 or 25)
RSI period (e.g. 14)
EMA lengths (default: 55 and 200)
✅ Designed to:
Avoid false signals by requiring both RSI weakness and price strength
Only trigger once per RSI dip, so you’re not spammed with repeat alerts
Use it to stay patient during downtrends and get alerted when the technicals show a possible turnaround. Great for swing traders and longer-term entries.