SLG's EMA+MACD Signal Trading Strategy M15Trading Concept Overview
This strategy combines trend-following and momentum confirmation to identify high-probability entries in both long and short directions. It uses EMA-based trend filtering and MACD signal analysis, while managing risk dynamically using ATR-based stop loss and take profit.
1. Trend Identification
The strategy calculates a Trend EMA (emaTrend) with a user-defined period (emaTrendLen) to determine the overall market direction:
Bullish Trend: Price closes above the Trend EMA → only long trades are considered.
Bearish Trend: Price closes below the Trend EMA → only short trades are considered.
This ensures trades are aligned with the larger trend, avoiding counter-trend signals.
2. Momentum Signal with MACD
MACD Calculation:
fastEMA - slowEMA generates the MACD line.
Signal line is an EMA of the MACD line.
delta = MACD - Signal measures the momentum difference.
Entry Logic:
Long Signal: delta crosses above zero AND the price is above the Trend EMA.
Short Signal: delta crosses below zero AND the price is below the Trend EMA.
This ensures that entries occur only when momentum is aligned with the overall trend.
3. Dynamic Risk Management (ATR-based SL/TP)
Uses Average True Range (ATR) to dynamically set stop loss and take profit:
Long Trade:
Stop Loss = Close - ATR * atrSLMult
Take Profit = Close + ATR * atrTPMult
Short Trade:
Stop Loss = Close + ATR * atrSLMult
Take Profit = Close - ATR * atrTPMult
This allows the strategy to adapt to market volatility, protecting capital in choppy conditions and scaling profit targets in trending markets.
4. Visual and Alert Features
Plots:
Trend EMA for visual trend guidance.
MACD delta to observe momentum.
Long/Short signals as small triangles directly on the chart.
Alerts:
Generates notifications for long and short signals to trigger timely trades.
5. Core Trading Philosophy
Trend-Following Bias: Only trade in the direction of the trend EMA.
Momentum Confirmation: Enter trades when the MACD delta confirms the move.
Volatility-Adjusted Risk: Use ATR to dynamically scale stops and targets.
Disclaimer / Risk Notice
Trading financial markets involves significant risk and may not be suitable for all investors. Past performance is not indicative of future results.
Market conditions can change rapidly and unpredictably, and no strategy can guarantee profits. Always use proper risk management and position sizing.
This strategy is for educational and informational purposes only. Users are responsible for their own trading decisions.
中心震盪指標
MACD ProThe MACD Pro is a modern take on the classic MACD, designed to give traders deeper insights into market momentum, trend conditions, and potential turning points. While it keeps the standard MACD foundation, it introduces a few enhancements to make it more adaptive and visually intuitive.
At its core, the indicator calculates the traditional MACD line, Signal line and Histogram. The histogram can be optionally displayed.
One of the things that set this version apart is the addition of the MACD Leader, an optional feature that makes the MACD more responsive to price action. By applying an adaptive smoothing factor (Leader Sensitivity), the Leader line can provide earlier momentum cues compared to the standard MACD and help anticipate shifts before they become obvious on a standard MACD indicator.
Another enhancement is the regime-based color system for the MACD line. Instead of simply coloring based on the MACD or histogram itself, this indicator identifies the overall market regime using momentum and trend strength conditions.
Bullish Regime: Momentum is positive and trend strength is above average.
Bearish Regime: Momentum is negative and trend strength is above average.
Sideways Regime: Momentum remains weak and within noise levels.
This regime detection allows the MACD line to visually adapt, giving traders an extra layer of context beyond standard MACD signals to blend momentum analysis with market conditions, helping distinguish between trending and ranging environments.
MultiScalpMACDThis indicator, the "Custom MACD MTF," is an adaptive version of the classic Moving Average Convergence Divergence (MACD) that automatically adjusts its parameters based on the chart's timeframe. It is designed to provide more fine-tuned momentum readings for traders who focus on specific intraday timeframes.
Overview
The "Custom MACD MTF" modifies the standard MACD calculation by applying unique settings for the 5-minute, 15-minute, and 1-hour charts. For all other timeframes, it reverts to the user-defined default values. This dynamic adjustment allows the indicator to better reflect the momentum characteristics of different trading sessions without requiring manual changes from the user.
Key Features
Adaptive Parameters: The indicator automatically uses optimized MACD settings for popular timeframes:
5-minute: Fast Length = 3, Slow Length = 10, Signal Length = 16
15-minute: Fast Length = 8, Slow Length = 17, Signal Length = 9
1-hour: Fast Length = 12, Slow Length = 26, Signal Length = 9
Momentum-Based Histogram: The histogram bars are colored to provide a clear visual cue about changes in momentum. A light gray bar indicates that momentum is increasing (the current bar is higher than the previous one), while a dark gray bar indicates that momentum is decreasing.
Clear Visual Plots: The indicator plots a pink MACD line, a black signal line, and a gray zero line for easy interpretation of crossovers and trend direction.
How to Interpret
This indicator can be used in the same way as a traditional MACD, but with added sensitivity on the specified timeframes. Traders can look for MACD and signal line crossovers, zero-line crosses, and divergences to identify potential trade signals. The histogram's color change provides an early warning that momentum is either accelerating or decelerating, which can precede a change in price direction.
Settings
Fast Length (Default): The default fast EMA period used for all timeframes except 5m, 15m, and 1h.
Slow Length (Default): The default slow EMA period used for all timeframes except 5m, 15m, and 1h.
Signal Length (Default): The default signal line EMA period used for all timeframes except 5m, 15m, and 1h.
Source: The price source for the MACD calculation (default is Close).
Trend-Strong Candle - Pro Multi Assetighlights:
Major Assets Mode (optional): EURUSD, GBPUSD, USDJPY, AUDUSD, USDCAD, NZDUSD, EURGBP, EURJPY
One‑per‑bar alerts, 24/7 toggle, no session limits
Default EMAs 20/40/60, improved stability and EMA-close filters
Lightweight performance, warning-free calculations, and clearer arrows/plots
HeatCandleHeatCandle - AOC Indicator
✨ Features
📊 Heat-Map Candles: Colors candles based on the price’s deviation from a Triangular Moving Average (TMA), creating a heat-map effect to visualize price zones.
📏 Zone-Based Coloring: Assigns colors to 20 distinct zones (Z0 to Z19) based on the percentage distance from the TMA, with customizable thresholds.
⚙️ Timeframe-Specific Zones: Tailored zone thresholds for 1-minute, 5-minute, 15-minute, 30-minute, 1-hour, and 4-hour timeframes for precise analysis.
🎨 Customizable Visuals: Gradient color scheme from deep blue (oversold) to red (overbought) for intuitive price movement interpretation.
🛠️ Adjustable Parameters: Configure TMA length and threshold multiplier to fine-tune sensitivity.
🛠️ How to Use
Add to Chart: Apply the "HeatCandle - AOC" indicator on TradingView.
Configure Inputs:
TMA Length: Set the period for the Triangular Moving Average (default: 150).
Threshold Multiplier: Adjust the multiplier to scale zone sensitivity (default: 1.0).
Analyze: Observe colored candles on the chart, where colors indicate the price’s deviation from the TMA:
Dark blue (Z0) indicates strong oversold conditions.
Red (Z19) signals strong overbought conditions.
Track Trends: Use the color zones to identify potential reversals, breakouts, or trend strength based on price distance from the TMA.
🎯 Why Use It?
Visual Clarity: The heat-map candle coloring simplifies identifying overbought/oversold conditions at a glance.
Timeframe Flexibility: Zone thresholds adapt to the selected timeframe, ensuring relevance across short and long-term trading.
Customizable Sensitivity: Adjust TMA length and multiplier to match your trading style or market conditions.
Versatile Analysis: Ideal for scalping, swing trading, or trend analysis when combined with other indicators.
📝 Notes
Ensure sufficient historical data for accurate TMA calculations, especially with longer lengths.
The indicator is most effective on volatile markets where price deviations are significant.
Pair with momentum indicators (e.g., RSI, MACD) or support/resistance levels for enhanced trading strategies.
Happy trading! 🚀📈
Hierarchical Resonance Analyzer MAX 915The Hierarchical Resonance Analyzer (HRA) is a comprehensive, all-in-one technical analysis suite designed for in-depth market structure analysis. Its core philosophy is based on identifying "resonance"—the confluence of signals across multiple timeframes and analytical models.
This tool moves beyond single-indicator analysis to provide a more holistic, multi-dimensional view of the market.
Key Features:
Proprietary HRA Core Signals: A unique set of candlestick pattern detectors (A,V,H,L,B) combined with a sequential counting system to identify potential market exhaustion and key turning points.
Multi-Timeframe Resonance Analysis: The heart of the system. It analyzes signal agreement across different user-defined timeframes (both Top-Down and Bottom-Up) to identify high-conviction setups.
Advanced Divergence Modules: Includes three distinct types of divergence detection, providing a comprehensive view of momentum versus price action:
MACD Area Divergence
RSIOI Overbought/Oversold Zone Divergence
Cumulative Volume Delta (CVD) Divergence
Integrated Trend & Volatility Suite: Features fully customizable Moving Averages (with cross alerts) and Bollinger Bands to provide essential market context for the core signals.
Fully Modular Design: Every component, from the core HRA signals to each indicator module, can be toggled on or off via a central control panel. This allows for a clean, focused, and adaptable workspace tailored to your specific analysis needs.
Dual-Frame Momentum OscillatorDual-Frame Momentum Oscillator (DFMO)
This is not just another oscillator. This is a confluence engine, built for the discerning trader who reads the story of price action and needs an objective tool to confirm the climax.
The Dual-Frame Momentum Oscillator was designed to solve a specific problem: how to differentiate a genuine, sustainable breakout from an exhaustive liquidity grab. It provides a visual confirmation for high-probability reversal and scalp setups by measuring momentum across two distinct time frames simultaneously.
This tool is for the trader who understands that indicators should not dictate trades, but rather confirm a well-defined thesis based on market structure, volume, and liquidity.
The Core Concept: Context Meets Trigger
The DFMO fuses a slow, methodical Stochastic with a hyper-sensitive RSI to give you a complete picture of momentum.
The Context (Slow Stochastic %K - default 40,4,4): This acts as your long-term momentum gauge. It tells you if the underlying trend is healthy or nearing exhaustion. A high reading suggests the market is overextended and vulnerable, while a low reading suggests the opposite.
The Trigger (Fast RSI - default 3): This is your immediate impulse reader. It measures the velocity and intensity of the current price thrust, making it incredibly sensitive to exhaustive moves, spikes, and bounces.
By themselves, they are useful. Together, they are formidable.
The Confluence Engine: Your Visual Edge
The true power of the DFMO lies in its "Confluence Engine." The indicator's background highlights in real-time when both oscillators are in agreement, visually flagging moments of maximum opportunity.
Bearish Confluence Zone (Red): The background turns red only when the Stochastic is overbought AND the RSI is overbought. This is your signal that the broader trend is exhausted and the current buying impulse has reached a climax. It is the ideal confirmation for a short entry following a liquidity sweep above a key high.
Bullish Confluence Zone (Green): The background turns green only when the Stochastic is oversold AND the RSI is oversold. This signals that the downtrend is tired and the immediate selling pressure is exhaustive, providing high-probability confirmation for a long entry at a key support level.
When these zones appear, the indicator is telling you that both the context and the trigger are aligned. This removes ambiguity and allows for decisive, confident execution.
Practical Application: The Liquidity Sweep
Imagine you're stalking a short on a futures contract like MCL or MES. You've marked the high of the day (HOD) as a key resistance level where liquidity is resting. You see a sharp, vertical impulse move that breaks the HOD, clearing out the stops.
Is this a real breakout, or is it a manipulation move—a classic liquidity grab?
You glance down at the DFMO. The moment price swept the high, the background flashed red. That's your objective confirmation. The slow Stoch was already overbought, and the fast RSI spiking confirmed the exhaustive, terminal nature of that price thrust. You now have the confidence to enter your short scalp, knowing you are aligned with the probable direction of the market's next move.
This is how you move from "feeling" the market to systematically executing a high-probability edge. This is how you aspire for greatness.
Add the Dual-Frame Momentum Oscillator to your toolkit and transform your ability to time entries with surgical precision.
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.
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.**
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*⚠️ 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.**
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**📝 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
MACD DIVERGENCE MACD DIVERGENCE is a momentum oscillator that combines the power of multi-timeframe (MTF) MACD with a regular divergence engine (bullish/bearish) and bias-shift alerts, providing a professional, actionable read of the impulse–correction cycle. 📈🧭
Key Benefits ✅
Selectable MTF MACD: compute MACD from 1m…W or use the chart’s timeframe to align entries with the higher-timeframe bias.
Intelligent visual read: histogram and line colors adapt to reflect inertia and pace changes (acceleration/deceleration).
Robust regular divergences: detects bullish/bearish by comparing oscillator pivots vs. price extremes within configurable search ranges (helps avoid false positives from pivots too far apart or too close).
Ready-to-trade alerts:
Strong Buy: histogram crosses > 0 (bullish bias).
Strong Sell: histogram crosses < 0 (bearish bias). 🔔
Versatile by design: works on crypto, indices, forex, commodities; from intraday to swing.
Recommended Workflow ⚙️
Bias (MTF): choose the MACD timeframe to inherit context (e.g., trade 15m using a 1h MACD).
Trigger: prioritize zero-line crosses accompanied by regular divergences (confluence).
Management: apply your risk plan (position size, SL/TP) and use alerts to synchronize execution.
Core Parameters 🔧
MACD Timeframe (MTF): “same as chart” or manual selection (1, 5, 15, 30, 60, 240, D, W).
MACD Lengths: fast/slow/signal (defaults 12/26/9).
Divergences: enable bullish/bearish, set pivot left/right, and min/max search range to control sensitivity.
Best Practices 🛡️
Match pivot windows and range to the asset’s structure and volatility.
Don’t rely on a single condition; seek confluence (MTF + zero-cross + divergence).
Run backtests/forward tests and document results before scaling up.
Compatibility 🌐
Works on any asset and timeframe supported by TradingView; plotted in a separate panel (overlay=false) to keep the main chart clean.
Disclaimer ⚠️
This product is not financial advice and does not guarantee results. Performance depends on the asset, market conditions, chosen configuration, and the user’s risk management. Trade responsibly.
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.
