eORB - Day EditionThe eORB – Day Edition (Enhanced Opening Range Breakout) is a powerful intraday trading indicator designed for Algo Trading, Scalpers, Day Traders, and ORB-based strategies. It combines classic ORB logic with advanced filters, multiple exit strategies, and smart risk management tools. The default setup is optimised for a 3-minute ETHUSD chart.
Key Features:-
# Opening Range Breakout (ORB)
- Defines intraday high/low for the first X minutes.
- Automatically updates breakout levels.
- Optional buffer (%) for precision entries.
# Day & Session Filters
- Enable/disable trading on specific weekdays.
- Flexible session time configuration.
# EMA Crossover
- Option to trade based on EMA crossover with ORB levels.
# Breakout Candle Logic
- Detects breakout candle high/low for secondary confirmation.
# RSI Filter
- Confirms signals using RSI thresholds (customisable).
# Exit Strategies
- ORB High/Low Exit
- Buffer Exit
- Trailing Stop Loss (TSL) with activation, lock, and increments
- Target & Stoploss (fixed points)
- Universal Exit (UTC time-based) with background highlight
# Trade Sync Logic
- Prevents consecutive Buy → Buy or Sell → Sell without the opposite signal in between.
# Alerts Ready
- Buy, Sell, and Exit conditions are available for alerts.
- Compatible with TradingView alert system (popup, email, SMS, webhook).
How to Use:-
1. Add indicator to the chart.
2. Set ORB Time & Session (e.g., 3 min ORB at market open).
3. Enable/disable filters (EMA, RSI, Breakout candle).
4. Configure exits (TSL, Target, Stoploss, Universal Exit).
5. Add alerts for automation or notifications.
- This indicator is ideal for Crypto, Nifty, BankNifty, Index Futures, and Stocks, but it can be applied to any asset.
- The default settings are optimised for ETHUSD.
How it Works – eORB Day Edition:-
Step 1 – Define the Range
- At market open, the indicator records the Opening Range High & Low for the first X minutes (configurable by the user).
- This creates a price boundary (box) that acts as support and resistance for the rest of the session.
- Optional buffers can be added to make signals more reliable.
Step 2 – Generate the Signal
- When price (or EMA, if enabled) crosses above the Opening Range High, a Buy signal is generated.
- When price (or EMA) crosses below the Opening Range Low, a Sell signal is generated.
- Extra filters like RSI and Breakout Candle confirmation can be turned on to reduce false breakouts.
- Built-in sync logic ensures signals alternate properly (no double Buy or double Sell without the opposite in between).
Step 3 – Manage the Exit
- Trades can exit using multiple methods:
- Target (fixed profit in points)
- Stoploss (fixed risk in points)
- Trailing Stop-loss (TSL) that locks profit and trails as price moves further in your favour
- ORB/Buffer exit when price re-enters the range
- Universal Exit at a fixed UTC time to close all positions for the day
- Exits are visualised on the chart with shapes, labels, and optional background highlights.
In simple terms:-
Step 1: DEFINE
- Opening Range (first X minutes) → Marks High & Low → Creates breakout zone
Step 2: SIGNAL
- Price / EMA crosses High (+ Buffer) → BUY
- Price / EMA crosses Low (- Buffer) → SELL
- + Optional filters: RSI, Breakout Candle
Step 3: EXIT
- Target | Stoploss | Trailing Stoploss | Universal Exit
Important Note on Alert Setup
- When using the RSI filter, signals may fluctuate in some edge cases where RSI hovers near the Buy or Sell level.
- To avoid this, it is recommended to use “Once Per Bar Close” as the alert trigger, since signals confirm only after the bar closes (especially helpful when Breakout Candle High/Low Crossover is enabled).
- If you choose not to use RSI, you can safely use “Once Per Bar” alerts, even when the Breakout Candle High/Low Crossover option is enabled.
Disclaimer:-
- This tool is for educational and research purposes only.
- It does not guarantee profits. Always backtest and use proper risk management before live trading. The author is not responsible for financial losses.
Developer: @ikunalsingh
Built using AI + the best of human logic.
Osciladores centrados
Fibo RSIThis is a customized Relative Strength Index (RSI) indicator designed to replicate TradingView’s default RSI while adding additional reference levels for deeper market analysis.
🔹 Features:
RSI length set to 8 by default (user adjustable).
Calculates RSI using the standard ta.rsi() function.
Plots the RSI line in a clean, separate panel.
Adds 7 key levels for analysis: 0, 20, 30, 50, 70, 80, 100.
Levels are drawn as thin, solid straight lines for a cleaner look (instead of default dashed).
🔹 Use cases:
Identify momentum shifts with enhanced precision.
Use intermediate levels (20, 30, 50, 70, 80) as potential support/resistance zones.
Ideal for traders who want a Fibonacci-like structure in RSI analysis.
Swing Oracle Stock 2.0- Gradient Enhanced# 🌈 Swing Oracle Pro - Advanced Gradient Trading Indicator
**Transform your technical analysis with stunning gradient visualizations that make market trends instantly recognizable.**
## 🚀 **What Makes This Indicator Special?**
The **Swing Oracle Pro** revolutionizes traditional technical analysis by combining advanced NDOS (Normalized Distance from Origin of Source) calculations with a sophisticated gradient color system. This isn't just another indicator—it's a complete visual trading experience that adapts colors based on market strength, making trend identification effortless and intuitive.
## 🎨 **10 Professional Gradient Themes**
Choose from carefully crafted color schemes designed for optimal visual clarity:
- **🌅 Sunset** - Warm oranges and purples for classic elegance
- **🌊 Ocean** - Cool blues and teals for calm analysis
- **🌲 Forest** - Natural greens and browns for organic feel
- **✨ Aurora** - Ethereal greens and magentas for mystique
- **⚡ Neon** - Vibrant electric colors for high-energy trading
- **🌌 Galaxy** - Deep purples and cosmic hues for night sessions
- **🔥 Fire** - Intense reds and golds for volatile markets
- **❄️ Ice** - Cool whites and blues for clear-headed decisions
- **🌈 Rainbow** - Full spectrum for comprehensive analysis
- **⚫ Monochrome** - Professional grays for focused trading
## 📊 **Core Features**
### **Advanced NDOS System**
- Normalized Distance from Origin of Source calculation with 231-period length
- Smoothed with customizable EMA for reduced noise
- Multi-timeframe confirmation with H1 filter option
- Dynamic gradient coloring based on oscillator position
### **Intelligent Visual Feedback**
- **Primary Gradient Line** - Main NDOS plot with dynamic color transitions
- **Gradient Fill Zones** - Beautiful color-coded areas for bullish, neutral, and bearish regions
- **Smart Transparency** - Colors adjust intensity based on market volatility
- **Dynamic Backgrounds** - Subtle gradient backgrounds that respond to market conditions
### **Enhanced EMA Projection System**
- 75/760 period EMA normalization with 50-period lookback
- Gradient-colored projection line for trend forecasting
- Toggleable display with advanced gradient controls
- Price tracking for precise level identification
### **Multi-Timeframe Analysis Table**
- Real-time trend analysis across 6 timeframes (1m, 3m, 5m, 15m, 1H, 4H)
- Gradient-colored cells showing trend strength
- Customizable table size and position
- Professional emoji indicators (🚀 UP, 📉 DOWN, ➡️ FLAT)
### **Signal System**
- **Gradient Buy Signals** - Triangle up arrows with intensity-based coloring
- **Gradient Sell Signals** - Triangle down arrows with strength indicators
- **Alert Conditions** - Built-in alerts for all signal types
- **7-Day Cycle Tracking** - Tuesday-to-Tuesday weekly cycle visualization
## ⚙️ **Customization Controls**
### **🎨 Gradient Controls**
- **Gradient Intensity** - Adjust color vibrancy (0.1-1.0)
- **Gradient Smoothing** - Control color transition smoothness (1-10 periods)
- **Dynamic Background** - Toggle animated background gradients
- **Advanced Gradients** - Enable/disable EMA projection and enhanced features
### **🛠️ Custom Color System**
- **Bullish Colors** - Define custom start/end colors for bull markets
- **Bearish Colors** - Set personalized bear market gradients
- **Full Theme Override** - Create completely custom color schemes
- **Real-time Preview** - See changes instantly on your chart
## 📈 **How to Use**
1. **Choose Your Theme** - Select from 10 professional gradient themes
2. **Configure Levels** - Adjust high/low levels (default 60/40) for your timeframe
3. **Set Smoothing** - Fine-tune gradient smoothing for your trading style
4. **Enable Features** - Toggle background gradients, candlestick coloring, and advanced EMA projection
5. **Monitor Signals** - Watch for gradient buy/sell arrows and multi-timeframe confirmations
## 🎯 **Trading Applications**
- **Swing Trading** - Perfect for identifying medium-term trend changes
- **Scalping** - Multi-timeframe table provides quick trend confirmation
- **Position Sizing** - Gradient intensity shows signal strength for risk management
- **Market Analysis** - Beautiful visualizations make complex data instantly understandable
- **Education** - Ideal for learning market dynamics through visual feedback
## ⚡ **Performance Optimized**
- **Smart Rendering** - Colors update only on significant changes
- **Efficient Calculations** - Optimized algorithms for smooth performance
- **Memory Management** - Minimal resource usage even with complex gradients
- **Real-time Updates** - Responsive to market changes without lag
## 🚨 **Alert System**
Built-in alert conditions notify you when:
- NDOS crosses above high level (Buy Signal)
- NDOS crosses below low level (Sell Signal)
- Multi-timeframe confirmations align
- Customizable alert messages with emoji indicators
## 🔧 **Technical Specifications**
- **PineScript Version**: v6 (Latest)
- **Overlay**: True (plots on main chart)
- **Calculations**: NDOS, EMA normalization, volatility-based transparency
- **Timeframes**: Compatible with all timeframes
- **Markets**: Stocks, Forex, Crypto, Commodities, Indices
## 💡 **Why Choose Swing Oracle Pro?**
This isn't just another technical indicator—it's a complete visual transformation of your trading experience. The gradient system provides instant visual feedback that traditional indicators simply can't match. Whether you're a beginner learning to read market trends or an experienced trader seeking clearer signals, the Swing Oracle Pro delivers professional-grade analysis with unprecedented visual clarity.
**Experience the future of technical analysis. Your charts will never look the same.**
---
*⚠️ Disclaimer: This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own research and consider risk management before making trading decisions.*
**🔔 Like this indicator? Please leave a comment and boost! Your feedback helps improve future updates.**
---
**📝 Tags:** #GradientTrading #SwingTrading #NDOS #MultiTimeframe #TechnicalAnalysis #VisualTrading #TrendAnalysis #ColorCoded #ProfessionalCharts #TradingToo
Mavi## Core System Structure and Operating Principle
This advanced trading system adopts a multi-dimensional approach to market analysis. Centering on two main trend-following mechanisms, it supports them with 12 different technical analysis tools. Its fundamental philosophy is to simultaneously evaluate different aspects of the market rather than relying on a single indicator. The main signal systems constitute 70% of the total decision, while supporting indicators complete the remaining 30%. Thanks to this mathematical weighting, false signals are minimized while strong market movements are captured early.
The system's most remarkable feature is its automatic calculation of optimal entry points for each trade. During this calculation, the current price position, volatility status, momentum indicators, and critical technical levels are evaluated together. A dynamic algorithm is used to ensure you enter the market at the most suitable price, and this entry point is continuously updated.
## Risk Management and Capital Protection
Risk management is a fundamental element embedded in this system's DNA. Before each trade, the stop loss level is automatically calculated based on volatility, and you are presented with three different profit targets. These targets are determined to optimize the risk/reward ratio. The system recommends risking only 2% of your capital per trade and calculates your position size according to this rule. The profit-taking strategy is based on the principle of graduated exits: 50% of the position at the first target, 30% at the second target, and the remaining 20% at the third target. This approach both protects profits and offers the opportunity to benefit from trend continuation.
Stop loss levels are dynamically adjusted according to the market's current volatility. When volatility increases, the stop distance widens; when it decreases, it narrows. This reduces the risk of unnecessary stops while providing protection against major losses. Additionally, the risk/reward ratio is calculated for each trade, and if this ratio is below 1:2, opening a trade is not recommended.
## Market Condition Analysis and Adaptive Strategy
The system classifies the market into three different regimes: trending, ranging, and consolidation. Different trading strategies are recommended for each regime. During trending periods, more weight is given to signals in the trend direction, and momentum indicators are emphasized. In ranging markets, trading from support and resistance levels is recommended, and overbought/oversold zones receive more attention. During consolidation periods, a major upcoming movement is anticipated, and taking positions in the breakout direction is advised.
Market regime detection is performed by evaluating multiple indicators together. The market's current character is determined by analyzing trend strength, volatility level, volume behavior, and momentum indicators. Through this detection, the appropriate strategy for each market condition is automatically activated.
## Confidence Score and Decision-Making Mechanism
One of this system's most innovative features is the confidence score calculation for each signal. This score is determined by taking the weighted average of 14 different technical indicators and ranges from 0-100. If the confidence score is below 35%, opening a trade is not recommended. The higher the score, the more reliable the signal. Visually represented by stars, this score enables quick decision-making.
The decision-making mechanism adopts an objective and mathematical approach. After all indicators are analyzed, you are presented with a clear recommendation: strong buy, buy, strong sell, sell, or wait. These recommendations are based solely on technical data, completely eliminating emotional factors. This enables disciplined trading free from emotions such as fear and greed.
## Volume and Money Flow Analysis
Volume analysis is an integral part of the system. Metrics such as relative volume, money flow index, accumulated volume indicator, and volume change rate are continuously monitored. Signals are found to be more reliable when trading occurs at more than twice the normal volume. Z-score analysis, particularly used to detect institutional activity, enables you to catch big players' market entries early.
Money flow indicators determine the direction of capital entering or leaving the market. Positive money flow indicates buying pressure, while negative money flow shows selling pressure. By detecting discrepancies between money flow and price movement, potential reversal points are signaled in advance. The combined evaluation of volume and money flow analysis improves signal quality and filters out false breakouts.
## Momentum and Strength Indicators
Momentum analysis enables you to understand the market's internal dynamics. By evaluating the relative strength index, stochastic oscillator, and momentum indicators together, the market's overbought or oversold condition is detected. Trend strength analysis provides information about the sustainability of the current movement. In strong trends, maintaining positions in the trend direction is recommended, while profit realization is advised in weak trends.
Divergence analysis of momentum indicators detects potential reversal points early. If momentum indicators show decline while price makes new highs, this signals trend weakening. Such discrepancies are automatically detected and you are alerted.
## Moving Averages and Trend Analysis
Short, medium, and long-term trends are analyzed using moving averages of different periods. These averages, based on Fibonacci numbers, create natural support and resistance levels. Alignment of all averages in the same direction confirms strong trend presence. Major crossovers are automatically detected and evaluated as harbingers of significant trend changes.
The distance between moving averages is an indicator of trend strength. As averages diverge from each other, the trend strengthens; as they converge, it weakens. This dynamic is continuously monitored, and when the trend weakens, reducing positions or profit realization is recommended.
## Institutional Pattern Recognition
The system automatically detects special formations used by professional investors. Patterns indicating institutional accumulation, such as Spring and UTAD, are evaluated together with large volume movements. A minimum 20-bar cooldown period is applied in detecting these patterns to filter false signals. The Spring pattern indicates potential bottoms and uptrend beginnings, while the UTAD pattern signals tops and downtrend beginnings.
## Practical Use and Application
When you start using the indicator, you should first follow the two main panels in the right corners. The upper panel contains risk management and final decision recommendations, while the lower panel provides detailed market analysis. If there's a high confidence score and a clear signal, you can open a trade from the determined entry point. Always use the recommended stop loss level and stick to profit targets.
You may need to use different parameters in different timeframes. More sensitive settings are preferred for short-term trades, while broader parameters are chosen for long-term trades. Optimized default values are provided for each timeframe, but you can fine-tune according to your own experience.
## Conclusion
This comprehensive trading system is a sophisticated solution developed against the complexity of modern markets. With multiple analysis layers, automatic risk management, and an objective scoring system, it minimizes emotional decisions and enables systematic trading. The system shows you the way, but the final decision is always yours. Disciplined use, patience, and adherence to risk management rules are the keys to long-term success.
The most important rule to remember when trading is that no system is perfect and there are no guarantees in the market. Therefore, always prioritize capital management and only trade with money you can afford to lose. You are provided with professional-level analysis capabilities, but discipline, patience, and continuous learning are essential for success.
LeTa Pro## Core System Structure and Operating Principle
This advanced trading system adopts a multi-dimensional approach to market analysis. Centering on two main trend-following mechanisms, it supports them with 12 different technical analysis tools. Its fundamental philosophy is to simultaneously evaluate different aspects of the market rather than relying on a single indicator. The main signal systems constitute 70% of the total decision, while supporting indicators complete the remaining 30%. Thanks to this mathematical weighting, false signals are minimized while strong market movements are captured early.
The system's most remarkable feature is its automatic calculation of optimal entry points for each trade. During this calculation, the current price position, volatility status, momentum indicators, and critical technical levels are evaluated together. A dynamic algorithm is used to ensure you enter the market at the most suitable price, and this entry point is continuously updated.
## Risk Management and Capital Protection
Risk management is a fundamental element embedded in this system's DNA. Before each trade, the stop loss level is automatically calculated based on volatility, and you are presented with three different profit targets. These targets are determined to optimize the risk/reward ratio. The system recommends risking only 2% of your capital per trade and calculates your position size according to this rule. The profit-taking strategy is based on the principle of graduated exits: 50% of the position at the first target, 30% at the second target, and the remaining 20% at the third target. This approach both protects profits and offers the opportunity to benefit from trend continuation.
Stop loss levels are dynamically adjusted according to the market's current volatility. When volatility increases, the stop distance widens; when it decreases, it narrows. This reduces the risk of unnecessary stops while providing protection against major losses. Additionally, the risk/reward ratio is calculated for each trade, and if this ratio is below 1:2, opening a trade is not recommended.
## Market Condition Analysis and Adaptive Strategy
The system classifies the market into three different regimes: trending, ranging, and consolidation. Different trading strategies are recommended for each regime. During trending periods, more weight is given to signals in the trend direction, and momentum indicators are emphasized. In ranging markets, trading from support and resistance levels is recommended, and overbought/oversold zones receive more attention. During consolidation periods, a major upcoming movement is anticipated, and taking positions in the breakout direction is advised.
Market regime detection is performed by evaluating multiple indicators together. The market's current character is determined by analyzing trend strength, volatility level, volume behavior, and momentum indicators. Through this detection, the appropriate strategy for each market condition is automatically activated.
## Confidence Score and Decision-Making Mechanism
One of this system's most innovative features is the confidence score calculation for each signal. This score is determined by taking the weighted average of 14 different technical indicators and ranges from 0-100. If the confidence score is below 35%, opening a trade is not recommended. The higher the score, the more reliable the signal. Visually represented by stars, this score enables quick decision-making.
The decision-making mechanism adopts an objective and mathematical approach. After all indicators are analyzed, you are presented with a clear recommendation: strong buy, buy, strong sell, sell, or wait. These recommendations are based solely on technical data, completely eliminating emotional factors. This enables disciplined trading free from emotions such as fear and greed.
## Volume and Money Flow Analysis
Volume analysis is an integral part of the system. Metrics such as relative volume, money flow index, accumulated volume indicator, and volume change rate are continuously monitored. Signals are found to be more reliable when trading occurs at more than twice the normal volume. Z-score analysis, particularly used to detect institutional activity, enables you to catch big players' market entries early.
Money flow indicators determine the direction of capital entering or leaving the market. Positive money flow indicates buying pressure, while negative money flow shows selling pressure. By detecting discrepancies between money flow and price movement, potential reversal points are signaled in advance. The combined evaluation of volume and money flow analysis improves signal quality and filters out false breakouts.
## Momentum and Strength Indicators
Momentum analysis enables you to understand the market's internal dynamics. By evaluating the relative strength index, stochastic oscillator, and momentum indicators together, the market's overbought or oversold condition is detected. Trend strength analysis provides information about the sustainability of the current movement. In strong trends, maintaining positions in the trend direction is recommended, while profit realization is advised in weak trends.
Divergence analysis of momentum indicators detects potential reversal points early. If momentum indicators show decline while price makes new highs, this signals trend weakening. Such discrepancies are automatically detected and you are alerted.
## Moving Averages and Trend Analysis
Short, medium, and long-term trends are analyzed using moving averages of different periods. These averages, based on Fibonacci numbers, create natural support and resistance levels. Alignment of all averages in the same direction confirms strong trend presence. Major crossovers are automatically detected and evaluated as harbingers of significant trend changes.
The distance between moving averages is an indicator of trend strength. As averages diverge from each other, the trend strengthens; as they converge, it weakens. This dynamic is continuously monitored, and when the trend weakens, reducing positions or profit realization is recommended.
## Institutional Pattern Recognition
The system automatically detects special formations used by professional investors. Patterns indicating institutional accumulation, such as Spring and UTAD, are evaluated together with large volume movements. A minimum 20-bar cooldown period is applied in detecting these patterns to filter false signals. The Spring pattern indicates potential bottoms and uptrend beginnings, while the UTAD pattern signals tops and downtrend beginnings.
## Practical Use and Application
When you start using the indicator, you should first follow the two main panels in the right corners. The upper panel contains risk management and final decision recommendations, while the lower panel provides detailed market analysis. If there's a high confidence score and a clear signal, you can open a trade from the determined entry point. Always use the recommended stop loss level and stick to profit targets.
You may need to use different parameters in different timeframes. More sensitive settings are preferred for short-term trades, while broader parameters are chosen for long-term trades. Optimized default values are provided for each timeframe, but you can fine-tune according to your own experience.
## Conclusion
This comprehensive trading system is a sophisticated solution developed against the complexity of modern markets. With multiple analysis layers, automatic risk management, and an objective scoring system, it minimizes emotional decisions and enables systematic trading. The system shows you the way, but the final decision is always yours. Disciplined use, patience, and adherence to risk management rules are the keys to long-term success.
The most important rule to remember when trading is that no system is perfect and there are no guarantees in the market. Therefore, always prioritize capital management and only trade with money you can afford to lose. You are provided with professional-level analysis capabilities, but discipline, patience, and continuous learning are essential for success.
LeTa Pro## Core System Structure and Operating Principle
This advanced trading system adopts a multi-dimensional approach to market analysis. Centering on two main trend-following mechanisms, it supports them with 12 different technical analysis tools. Its fundamental philosophy is to simultaneously evaluate different aspects of the market rather than relying on a single indicator. The main signal systems constitute 70% of the total decision, while supporting indicators complete the remaining 30%. Thanks to this mathematical weighting, false signals are minimized while strong market movements are captured early.
The system's most remarkable feature is its automatic calculation of optimal entry points for each trade. During this calculation, the current price position, volatility status, momentum indicators, and critical technical levels are evaluated together. A dynamic algorithm is used to ensure you enter the market at the most suitable price, and this entry point is continuously updated.
## Risk Management and Capital Protection
Risk management is a fundamental element embedded in this system's DNA. Before each trade, the stop loss level is automatically calculated based on volatility, and you are presented with three different profit targets. These targets are determined to optimize the risk/reward ratio. The system recommends risking only 2% of your capital per trade and calculates your position size according to this rule. The profit-taking strategy is based on the principle of graduated exits: 50% of the position at the first target, 30% at the second target, and the remaining 20% at the third target. This approach both protects profits and offers the opportunity to benefit from trend continuation.
Stop loss levels are dynamically adjusted according to the market's current volatility. When volatility increases, the stop distance widens; when it decreases, it narrows. This reduces the risk of unnecessary stops while providing protection against major losses. Additionally, the risk/reward ratio is calculated for each trade, and if this ratio is below 1:2, opening a trade is not recommended.
## Market Condition Analysis and Adaptive Strategy
The system classifies the market into three different regimes: trending, ranging, and consolidation. Different trading strategies are recommended for each regime. During trending periods, more weight is given to signals in the trend direction, and momentum indicators are emphasized. In ranging markets, trading from support and resistance levels is recommended, and overbought/oversold zones receive more attention. During consolidation periods, a major upcoming movement is anticipated, and taking positions in the breakout direction is advised.
Market regime detection is performed by evaluating multiple indicators together. The market's current character is determined by analyzing trend strength, volatility level, volume behavior, and momentum indicators. Through this detection, the appropriate strategy for each market condition is automatically activated.
## Confidence Score and Decision-Making Mechanism
One of this system's most innovative features is the confidence score calculation for each signal. This score is determined by taking the weighted average of 14 different technical indicators and ranges from 0-100. If the confidence score is below 35%, opening a trade is not recommended. The higher the score, the more reliable the signal. Visually represented by stars, this score enables quick decision-making.
The decision-making mechanism adopts an objective and mathematical approach. After all indicators are analyzed, you are presented with a clear recommendation: strong buy, buy, strong sell, sell, or wait. These recommendations are based solely on technical data, completely eliminating emotional factors. This enables disciplined trading free from emotions such as fear and greed.
## Volume and Money Flow Analysis
Volume analysis is an integral part of the system. Metrics such as relative volume, money flow index, accumulated volume indicator, and volume change rate are continuously monitored. Signals are found to be more reliable when trading occurs at more than twice the normal volume. Z-score analysis, particularly used to detect institutional activity, enables you to catch big players' market entries early.
Money flow indicators determine the direction of capital entering or leaving the market. Positive money flow indicates buying pressure, while negative money flow shows selling pressure. By detecting discrepancies between money flow and price movement, potential reversal points are signaled in advance. The combined evaluation of volume and money flow analysis improves signal quality and filters out false breakouts.
## Momentum and Strength Indicators
Momentum analysis enables you to understand the market's internal dynamics. By evaluating the relative strength index, stochastic oscillator, and momentum indicators together, the market's overbought or oversold condition is detected. Trend strength analysis provides information about the sustainability of the current movement. In strong trends, maintaining positions in the trend direction is recommended, while profit realization is advised in weak trends.
Divergence analysis of momentum indicators detects potential reversal points early. If momentum indicators show decline while price makes new highs, this signals trend weakening. Such discrepancies are automatically detected and you are alerted.
## Moving Averages and Trend Analysis
Short, medium, and long-term trends are analyzed using moving averages of different periods. These averages, based on Fibonacci numbers, create natural support and resistance levels. Alignment of all averages in the same direction confirms strong trend presence. Major crossovers are automatically detected and evaluated as harbingers of significant trend changes.
The distance between moving averages is an indicator of trend strength. As averages diverge from each other, the trend strengthens; as they converge, it weakens. This dynamic is continuously monitored, and when the trend weakens, reducing positions or profit realization is recommended.
## Institutional Pattern Recognition
The system automatically detects special formations used by professional investors. Patterns indicating institutional accumulation, such as Spring and UTAD, are evaluated together with large volume movements. A minimum 20-bar cooldown period is applied in detecting these patterns to filter false signals. The Spring pattern indicates potential bottoms and uptrend beginnings, while the UTAD pattern signals tops and downtrend beginnings.
## Practical Use and Application
When you start using the indicator, you should first follow the two main panels in the right corners. The upper panel contains risk management and final decision recommendations, while the lower panel provides detailed market analysis. If there's a high confidence score and a clear signal, you can open a trade from the determined entry point. Always use the recommended stop loss level and stick to profit targets.
You may need to use different parameters in different timeframes. More sensitive settings are preferred for short-term trades, while broader parameters are chosen for long-term trades. Optimized default values are provided for each timeframe, but you can fine-tune according to your own experience.
## Conclusion
This comprehensive trading system is a sophisticated solution developed against the complexity of modern markets. With multiple analysis layers, automatic risk management, and an objective scoring system, it minimizes emotional decisions and enables systematic trading. The system shows you the way, but the final decision is always yours. Disciplined use, patience, and adherence to risk management rules are the keys to long-term success.
The most important rule to remember when trading is that no system is perfect and there are no guarantees in the market. Therefore, always prioritize capital management and only trade with money you can afford to lose. You are provided with professional-level analysis capabilities, but discipline, patience, and continuous learning are essential for success.
High-and-Tight Impulse + Micro ConsolidationThis indicator detects a specific bullish continuation setup on daily charts:
- An impulse move (X% rise within N bars, mostly green candles)
- Immediately followed by a tight consolidation (small ranges, small bodies)
- Closes holding in the top zone of the impulse
On the chart, signals are plotted as orange dots above bars.
Labels show the last detected setup date, and a counter displays total matches in history.
Useful for backtesting "high-and-tight flag" type momentum patterns or any symbol.
Adjust inputs (impulse % threshold, bars, ATR ratios, top zone %) to make it stricter or looser.
Alerts are included when a new setup is detected.
This tool is not financial advice. For educational and research purposes only.
by fiyatherseydir
2 of 3 Confluence StrategyA strategy created for swing and positional trading on stocks and index. Best to use on daily or minimum hourly time frame. It will also work in smaller time frames but there will be some noise.
[DEM] RMEMA Bars RMEMA Bars is a multi-factor trend confirmation indicator that combines a double-smoothed moving average with momentum, trend direction, and price position analysis to generate color-coded bar signals. The indicator uses an RMA-smoothed EMA (21-period EMA smoothed by 5-period RMA) as its primary trend filter, while incorporating four additional technical conditions: price position relative to recent highs/lows over a 20-period window, Parabolic SAR directional bias, relative positioning of recent highs versus lows, and MACD momentum direction using extended parameters (50/100/21). Green bars appear when price is above SAR, recent highs dominate recent lows, MACD is positive, and the smoothed moving average is rising, while red bars signal the opposite conditions with price below SAR, recent lows dominating, negative MACD, and falling moving average. Purple bars indicate mixed or transitional conditions where not all criteria align, creating a comprehensive visual system that requires multiple technical factors to confirm before signaling strong bullish or bearish conditions.
[DEM] Multiple Linear Regression Score Multiple Linear Regression Score is a composite momentum indicator that evaluates market conditions by analyzing a reference symbol (defaulting to NDX) across multiple technical dimensions and combining them into a single predictive score. The indicator processes ten different technical variables including RSI, MACD components (line, signal, and histogram), price relationships to various moving averages (10, 50, 100, 200), and short-term price changes (1-day and 5-day), converting most into binary signals (1 or 0) based on whether they're above or below zero. These binary and continuous inputs are then weighted using regression-derived coefficients and combined into a final percentage score that oscillates around zero, with the indicator also calculating a 20-period standard deviation of the score to measure volatility. This approach creates a data-driven sentiment gauge that quantifies the overall technical health of the reference market by mathematically weighting the importance of each technical factor based on historical relationships.
[DEM] Multiple Linear Regression Oscillator Multiple Linear Regression Oscillator is a sophisticated momentum indicator that combines volume-weighted price action with multiple timeframe price changes to generate predictive signals through a linear regression model. The indicator calculates a volume-price ratio over 5 periods and incorporates price changes across four different lookback periods (2, 5, 10, and 20 bars), applying specific regression coefficients to each variable to produce a normalized oscillator that fluctuates around zero. The main output is plotted alongside a 10-period RMA smoothed version in yellow, with reference lines at +1, 0, and -1 to help identify overbought, neutral, and oversold conditions. This mathematical approach attempts to predict short-term price movements by weighting the historical relationship between volume, price momentum, and multi-timeframe price changes, essentially creating a data-driven oscillator that goes beyond traditional technical indicators by incorporating machine learning-derived coefficients.
[DEM] Multi-Symbol Relative Strength Index Multi-Symbol Relative Strength Index is a comparative analysis indicator that simultaneously displays RSI values for five different symbols (defaulting to major tech stocks NVDA, MSFT, AAPL, AMZN, and GOOG) on a single chart pane. The indicator plots each symbol's RSI as colored lines with standard overbought (70) and oversold (30) reference levels, allowing traders to quickly compare relative momentum across multiple assets. A key feature is the dynamic background coloring that highlights which symbol currently has the extreme RSI value (either highest or lowest, depending on user selection), making it easy to identify which stock is showing the most extreme momentum condition at any given time. The indicator includes a legend table displaying all tracked symbols with their corresponding colors, and the background fill between the 30-70 RSI levels provides clear visual reference for overbought and oversold zones across all symbols simultaneously.
[DEM] Momentum Bars Momentum Bars is designed to color price bars based on a combination of Aroon oscillator analysis and RSI momentum to identify periods of strong directional bias and filter out choppy or indecisive market conditions. The indicator calculates the Aroon Up and Aroon Down values over a configurable period (default 20) to determine which direction has more recent strength, then combines this with RSI analysis using the same period to confirm momentum alignment. Bars are colored green when Aroon Up exceeds Aroon Down (indicating recent highs dominate) and RSI is above 50 (confirming bullish momentum), red when Aroon Down exceeds Aroon Up (indicating recent lows dominate) and RSI is below 50 (confirming bearish momentum), and purple for all other conditions where the Aroon and RSI signals are conflicting or neutral, providing traders with immediate visual feedback about when price momentum and recent high/low activity are aligned versus when market conditions are mixed.
[DEM] MACD Bars MACD Bars is designed to color price bars based on the relationship between the MACD line and its histogram to provide immediate visual feedback about momentum conditions and potential trend changes. The indicator calculates the standard MACD using the default parameters (12, 26, 9) and applies a three-color system to the candlesticks: green bars when the MACD line is above both the histogram and zero (indicating strong bullish momentum), red bars when the MACD line is below both the histogram and zero (indicating strong bearish momentum), and purple bars for all other conditions where momentum signals are mixed or transitional. This color-coding system helps traders quickly identify periods of strong directional momentum versus periods of uncertainty or potential reversal without needing to reference a separate MACD indicator pane.
[DEM] Klinger Signal (With Backtesting) Klinger Signal (With Backtesting) is designed to generate buy and sell signals based on the Klinger Volume Oscillator, which combines price movement direction with volume flow to identify potential trend changes and momentum shifts. It also includes a comprehensive backtesting framework to evaluate the historical performance of these signals. The indicator overlays directly on the price chart, plotting signals and displaying performance statistics in a table. The strategy calculates signed volume (positive when HLC3 rises, negative when it falls), applies dual EMA smoothing with configurable fast and slow periods (default 34 and 55), creates a signal line using additional EMA smoothing (default 13 periods), then generates buy signals when the signal line crosses above its own EMA-smoothed version and sell signals on the opposite crossover, combining volume analysis with price momentum to identify institutional money flow changes while tracking signal accuracy, average returns, and frequency through integrated backtesting metrics.
Blueprint Signals ProBlueprint Signals Pro is an advanced, all-in-one trading indicator designed for TradingView, built to provide high-quality buy/sell signals across various markets including cryptocurrencies, U.S. stocks, Indian indices, forex, and more. 📈 It leverages a proprietary ATR-based trailing stop mechanism combined with AI-optimized profiles for different trading styles (scalping, intraday, swing, and position trading) to generate reliable signals on bar close.
Key Features:
📊 Market Optimization: Tailored options for specific markets like Cryptocurrency (high volatility, 24/7 trading), U.S. Stocks (regulated exchanges, standard hours), Indian Indices (local dynamics like NIFTY), and Forex (high liquidity, global influences) to customize parameters and enhance signal accuracy.
🎨 Theme & Palette Customization: Supports dark/light chart themes with multiple color palettes for visual appeal.
🤖 Trading Profiles: Pre-built AI profiles like "Edge Signal", "Flash Signal", "Trend Rider", etc., tailored to your timeframe and style.
🔍 Signal Filters: Bullish/Bearish modes to focus on one-sided signals, with adjustable candle opacity.
🛡️ Support/Resistance Zones: Dynamic S/R levels with auto-adjusting lookback and wick warning markers for potential reversals.
⚠️ Swing Pattern Failure (SPF): Detects failure patterns with volume and wick filters for early reversal alerts.
🚨 Warnings: Proximity and wick-touch alerts on the trailing stop to signal momentum loss or trend challenges.
💡 Premium/Discount Zones: Neon-style P&D zones with glow effects to identify overvalued/undervalued areas.
📉 Custom Moving Averages: Up to 3 configurable MAs (EMA/SMA/WMA/HMA) with theme-based colors.
⚙️ Core Parameters: Manual/auto-tuning for scaling factor, period, min move filter, and anti-chop sensitivity.
⭐ Confidence Rating: Scores signals (Weak/Moderate/Strong) based on trend, S/R proximity, and volume.
🎯 SL/TP Levels: Displays stop loss (ATR trail, swing, or fixed ATR) and multiple take profits with R:R ratios, extendable lines, and zone fills. Additionally, clearly shows captured points/pips (e.g., +50 pts) and potential profit in points/pips/₹ for each level, making risk-reward analysis straightforward and visible on the chart.
🖥️ Display Options: Toggle trailing stop, text on signals, and more.
📅 Dashboard: Multi-timeframe overview with trend intelligence (using ADX), confidence, and candle timer.
🔔 Alerts: Configurable for buy/sell signals with detailed messages.
Usage Guidelines:
Select your market, theme, and trading style from the inputs.
Use on any timeframe; auto-adjusts for optimal performance.
Signals are confirmed on bar close to avoid repainting.
Combine with your risk management; backtest thoroughly.
This indicator is for educational and informational purposes only. Past performance is not indicative of future results. Trade at your own risk. © 2025 Raza | Blueprint Signals. All Rights Reserved.
[DEM] Correlation Dashboard Correlation Dashboard is designed to display real-time correlation analysis between the current chart's asset and five major market instruments (Bitcoin, Dow Jones 30, Dollar Index, Nasdaq 100, and S&P 500) in an easy-to-read table format overlaid on the price chart. The indicator calculates correlation coefficients over a configurable period (default 20 bars) and applies additional smoothing using a 200-period RMA to filter out noise and identify persistent correlation trends. The dashboard categorizes correlations into five levels ranging from "Very Strong Positive/Negative Correlation" (above ±0.5) to "No Strong Correlation" (between ±0.3), with color-coded text displaying green for positive correlations, red for negative correlations, and white for neutral relationships, enabling traders to quickly assess how their asset moves relative to major market benchmarks and identify potential diversification opportunities or risk concentrations.
[DEM] Correlation Coefficient Correlation Coefficient is designed to calculate and visualize the statistical correlation between the current chart's price movement and another selected symbol (defaulting to SPX) over a specified period. The indicator displays the correlation coefficient as both a colored area chart and line plot in a separate pane below the main chart, with colors dynamically changing from red (negative correlation) through purple (no correlation) to green (positive correlation) based on the strength and direction of the relationship. The correlation values range from -1 (perfect negative correlation) to +1 (perfect positive correlation), with horizontal reference lines at these extremes and zero, helping traders understand how closely their asset moves in relation to the selected benchmark symbol and identify periods of divergence or convergence in market behavior.
[DEM] Combo Signal (With Backtesting) Combo Signal (With Backtesting) is designed to generate buy and sell signals by combining seven different trading strategies that incorporate multiple technical indicators including SuperTrend, Parabolic SAR, MACD, and RSI. It also includes a comprehensive backtesting framework to evaluate the historical performance of these signals. The indicator overlays directly on the price chart, plotting signals and displaying performance statistics in a table. The strategy triggers buy signals when any of seven long conditions are met (including ATR-based reversal patterns, SuperTrend confirmations, RSI oversold crossovers, MACD bullish crossovers, and SuperTrend line breaks), while sell signals are generated when any of the corresponding seven short conditions occur, creating a multi-faceted approach that aims to capture various market conditions and trading opportunities while tracking signal accuracy, average returns, and signal frequency through its integrated backtesting system.
[DEM] Chande Momentum + Aroon Signal (With Backtesting) Chande Momentum + Aroon Signal (With Backtesting) is designed to generate buy and sell signals by combining the Chande Momentum Oscillator with the Aroon indicator. It also includes a comprehensive backtesting framework to evaluate the historical performance of these signals. The indicator overlays directly on the price chart, plotting signals and displaying performance statistics in a table. The strategy generates buy signals when the Aroon Up reaches 100% (indicating a new high) and the Chande Momentum Oscillator crosses above zero, while sell signals are triggered when the Aroon Down reaches 100% (indicating a new low) and the Chande Momentum Oscillator crosses below zero. The backtesting module tracks signal accuracy, average returns, signal frequency per month, and total correct predictions for both buy and sell signals across a configurable time horizon.
AA1 MACD 09.2025this is a learing project i want to share
the script is open for anyone
I combain some ema's mcad and more indicators to help find stocks in momentum
Trend-Strong Candle - 3 EMAs with Filters# Trend-Strong Candle - Professional Trading Indicator
## 📊 What It Does
Identifies high-probability entries by combining triple EMA trend analysis with strong candle detection. Only signals when all conditions align for maximum accuracy.
## 🎯 Core Features
- Triple EMA System: Fast (20) / Medium (50) / Slow (200) for trend confirmation
- Strong Candle Filter: ATR-based sizing ensures genuine momentum
- Advanced Filters: EMA close validation + trend stability checks
- Live Alerts: Instant notifications for real-time signals
- Session Filter: Trade only during active EU/US market hours
## ⚡ Quick Setup
Scalping (1-5min): Default settings + enable session filter
Day Trading (15-60min): Default settings work perfectly
Swing Trading (4H+): Increase ATR multiplier to 0.8-1.0
## 📈 Trading Rules
Long Signals: Green triangle below candle
- Strong bullish candle during confirmed uptrend
- All EMAs properly aligned (Fast > Medium > Slow)
Short Signals: Red triangle above candle
- Strong bearish candle during confirmed downtrend
- All EMAs properly aligned (Fast < Medium < Slow)
## ⚠️ Critical Success Factors
1. Always Verify the Trend Yourself
The indicator helps identify signals, but YOU must confirm the larger trend context. Check higher timeframes and overall market structure before entering.
2. Understand the "Big Players"
Strong candles in trend direction usually come from institutional money (banks, funds, algorithms). These create the momentum that retail traders can follow. The indicator catches these institutional moves.
3. Distance to Next Value Level
NEVER enter if price is too close to major resistance/support levels:
- Check distance to round numbers (1.1000, 1.1050, etc.)
- Ensure at least 20-30 pips room to next key level
- You need space for profit - tight levels = limited upside
4. Risk Management
- Stop Loss: 1-2 ATR from entry
- Take Profit: 2-3 ATR target (minimum 1:2 R/R)
- Position Size: Risk max 1-2% per trade
## 💡 Pro Tips
- Best Sessions: London open (8-12 UTC) and NY open (13-17 UTC)
- Avoid: Major news, low liquidity periods, choppy markets
- Multiple Timeframes: Confirm signals on higher timeframe
- Value Levels: Always check daily/weekly support/resistance before entering
## 🎯 Success Formula
Trend Confirmation + Strong Institutional Candle + Distance to Value Levels = High Probability Trade
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Remember: The indicator finds the signals, but successful trading requires your analysis of trend context and value level positioning. Trade smart, not just frequent.
SOLACE PROSOLACE PRO is a confirmation-based trend/breakout indicator that computes on the previous candle to cut intrabar noise and repainting. It plots VWAP, Bollinger Bands (20,2), and SMA50/200, and signals BUY when the prior bar closed above the upper band and above VWAP/SMA50/SMA200 with MACD > signal; SELL when it closed below the lower band and below VWAP/SMAs with MACD < signal. Labels are stamped on the prior bar (offset −1), duplicate same-side signals are suppressed, and alert conditions are included for instant notifications.
