Indikatoren und Strategien
Stiffness IndexStiffness Index Indicator
Overview
The Stiffness Index is a technical analysis indicator created by Markos Katsanos and first introduced in the November 2018 issue of Technical Analysis of Stocks & Commodities magazine. This indicator attempts to recognize strong price trends by counting the number of times price was above the 100-day moving average during the indicator period.
Core Philosophy
The premise is the fewer number of times price penetrates the MA, the stronger the trend. The philosophy behind this indicator is that traders should trade when the trend is at its strongest point - when the trend is at its "stiffest". Based on the observation that in strong long-lasting uptrends, price seldom penetrates the 100-bar simple moving average, this indicator helps assess the quality and strength of an uptrend.
How It Works
The Stiffness Index operates through several key components:
1. Moving Average Baseline: Uses a 100-period moving average as the primary reference level
2. Volatility Threshold: Includes a volatility threshold to eliminate minor movements - typically 0.2 standard deviations to reject minimal penetrations above the moving average
3. Counting Mechanism: Calculates the stiffness coefficient as the ratio of the number of times the price has closed above the moving average during the indicator period to the length of that period
4. Smoothing: Applies additional smoothing to the final result for cleaner signals
Key Components
Input Parameters
- Period 1 (100): The moving average period for the baseline calculation
- MA Method 1: Type of moving average for the baseline (SMA, EMA, SMMA, LWMA)
- Summation Period (60): The lookback period for counting closes above the moving average
- Period 2 (3): Smoothing period for the final signal line
- MA Method 2: Smoothing method for the signal line
- Threshold Level (80): Reference level for identifying strong trends
Visual Elements
- Blue Signal Line: The main stiffness reading showing trend strength
- Dotted Line: Adjustable threshold level for reference
Interpretation and Trading Applications
Signal Readings
- High Values (Above Threshold): Indicates a "stiff" trend where price consistently stays above the moving average with minimal penetrations
- Low Values (Below Threshold): Suggests a weaker trend with frequent penetrations of the moving average
- Original threshold levels mentioned in research range from 75-95
Trading Strategy
The original strategy suggests entering long positions when the stiffness reading reaches 90 or higher, with exits when the reading drops below 50. Some implementations use a threshold of 75 for entry confirmation.
Key Characteristics
- Designed primarily for stocks and instruments with upward bias
- Trades infrequently - typically about once per year when using strict parameters
- Best suited for trend-following strategies in strongly trending markets
Advantages
- Trend Quality Assessment: Quantifies the "stiffness" or quality of trends
- Volatility Filtering: Built-in volatility threshold reduces false signals from minor price movements
- Objective Measurement: Provides a numerical assessment of trend strength
- Customizable: Multiple parameters allow adaptation to different markets and timeframes
Best Practices
- Use in conjunction with baseline trend indicators for confirmation
- Most effective in markets with strong directional bias
- Consider the low frequency of signals when developing trading strategies
- May not be suitable for instruments that "twitch up and down" frequently
*Note: This indicator is specifically designed to identify and trade the strongest trending periods, which naturally results in fewer but potentially higher-quality trading opportunities.*
Volume ClusteringThis Volume Clustering script is a powerful tool for analyzing intraday trading dynamics by combining two key metrics: volume Z-Score and Cumulative Volume Delta (CVD). By categorizing market activity into distinct clusters, it helps you identify high-conviction trading opportunities and understand underlying market pressure.
How It Works
The script operates on a simple, yet effective, premise: it classifies each trading bar based on its statistical significance (volume Z-Score) and buying/selling pressure (CVD).
Volume Z-Score
The volume Z-Score measures how far the current bar's volume is from its average, helping to identify periods of unusually high or low volume. This metric is a powerful way to spot when institutional or large players might be entering the market. A high Z-Score suggests a significant event is taking place, regardless of direction.
Cumulative Volume Delta (CVD)
CVD tracks the net buying and selling pressure across different timeframes. The script uses a lower timeframe (e.g., 1-minute) and anchors it to a higher timeframe (e.g., 1-day) to capture intraday pressure. A positive CVD indicates more buying pressure, while a negative CVD suggests more selling pressure.
Cluster Categories
The script analyzes the confluence of these two metrics to assign a cluster to each bar, providing actionable insights. The clusters are color-coded and labeled to make them easy to interpret:
🟢 High Conviction Bullish: Unusually high volume (high Z-Score) combined with significant buying pressure (high CVD). This cluster suggests strong bullish momentum.
🔴 High Conviction Bearish: Unusually high volume (high Z-Score) coupled with significant selling pressure (low CVD). This cluster suggests strong bearish momentum.
🟡 Low Conviction/Noise: Low to moderate volume and mixed buying/selling pressure. This represents periods of indecision or consolidation, where market noise is more prevalent.
🟣 Other Clusters: The script also identifies other combinations, such as high volume with moderate CVD, or low volume with high CVD, which can provide additional context for understanding market dynamics.
Key Features & Customization
The script offers several customizable settings to tailor the analysis to your specific trading style:
Z-Score Lookback Length: Adjust the lookback period for calculating the average volume. A shorter period focuses on recent volume trends, while a longer period provides a broader context.
CVD Anchor & Lower Timeframe: Define the timeframes used for CVD calculation. You can anchor the analysis to a daily or weekly timeframe while using a lower timeframe (e.g., 1-minute) to capture granular intraday pressure.
High/Low Volume Mode: Toggle between "High Volume" mode (which uses 90th and 10th percentiles for clustering) and "Low Volume" mode (which uses 75th and 25th percentiles). This allows you to choose whether to focus on extreme events or more subtle shifts in market sentiment.
Chandelier Exit + Zero Lag SMA Chandelier Exit + Zero Lag SMA No Consecutive Signals
Overview
This Pine Script indicator combines the Chandelier Exit (based on ATR) with the Zero Lag SMA to generate reliable buy and sell signals for scalping on BTC/USDT, optimized for the 5-minute timeframe. Designed for crypto traders, it includes features to reduce signal noise and improve trade quality, making it ideal for fast-paced markets like Bitcoin.
Key Features
Chandelier Exit: Uses ATR (period=1, multiplier=2.0) to create dynamic trailing stops, identifying potential reversals with high sensitivity to price volatility.
Zero Lag SMA: A lag-free moving average (length=50) filters signals to ensure trades align with the short-term trend.
No Consecutive Signals: Prevents repetitive buy or sell signals by enforcing alternation (e.g., a buy signal cannot follow another buy), reducing noise in choppy markets.
Cooldown Period: Ensures a minimum of 3 bars between signals to avoid overcrowding.
Volume Filter: Signals are generated only when volume exceeds the 14-period SMA, confirming significant market activity.
Stop Loss Suggestion: Plots swing highs/lows (5-bar lookback) as visual guides for setting stop losses.
How It Works
Buy Signal: Triggered when the price closes above the Chandelier Exit long level, is above the Zero Lag SMA, volume is above the SMA, and the last signal was not a buy.
Sell Signal: Triggered when the price closes below the Chandelier Exit short level, is below the Zero Lag SMA, volume is above the SMA, and the last signal was not a sell.
Visualization:
Green triangles below bars for buy signals.
Red triangles above bars for sell signals.
White line for Zero Lag SMA.
Gray circles for swing low (buy SL) and swing high (sell SL).
Usage
Setup:
Apply to BTC/USDT on a 5-minute chart for optimal scalping results.
Adjust inputs in the settings:
ATR Length: Default 1 (sensitive for crypto).
ATR Multiplier: Default 2.0 (adjust for signal frequency).
Zero Lag SMA Length: Default 50 (trend filter).
Cooldown Bars: Default 3 (space between signals).
Volume MA Length: Default 14 (volume filter sensitivity).
Trading:
Enter long on green triangles, short on red triangles.
Set stop loss at swing low (buy) or swing high (sell), shown as gray circles.
Exit on Zero Lag SMA crossover or use a fixed risk-reward ratio (e.g., 1:2).
Use low leverage (1-5x) and test on a demo account first.
Backtesting:
Use TradingView’s Strategy Tester to evaluate performance on historical BTC/USDT data.
Best in volatile sessions (e.g., Asian/European overlaps).
Notes
Performance: Backtests suggest a high win rate (~90%+ in optimal conditions), but results depend on market conditions. Always validate with paper trading.
Customization: Adjust the ATR multiplier or cooldown period for more/less frequent signals. Add RSI or other filters for enhanced precision (reach out for help!).
Community: Feel free to share feedback, suggest improvements, or post your results in the comments. Let’s refine this together!
Disclaimer
This indicator is for educational purposes only and not financial advice. Crypto markets are volatile; always manage risk and test strategies thoroughly before live trading.
Happy scalping, and thanks for trying this indicator!
alangari EMA Crossoverإذا كان عندك متوسطين متحركين أسيين (EMA) بفترات مختلفة (مثلاً 10 و 21).
التقاطع الصاعد (Bullish Crossover): لما الـ EMA القصير (10) يقطع الـ EMA الطويل (21) من تحت لفوق → إشارة شراء.
التقاطع الهابط (Bearish Crossover): لما الـ EMA القصير يقطع الطويل من فوق لتحت → إشارة بيع.
Exponential Moving Averages (EMA) Crossover
An EMA crossover strategy uses two exponential moving averages with different periods (e.g., a fast EMA and a slow EMA).
Bullish Crossover: Occurs when the fast EMA crosses above the slow EMA, often interpreted as a buy signal indicating upward momentum.
Bearish Crossover: Occurs when the fast EMA crosses below the slow EMA, often interpreted as a sell signal indicating downward momentum.
This technique helps traders identify trend reversals and confirm the strength or weakness of the current price direction.
Mehfilpro IndiMehfilpro Indi adds customizable watermarks to your charts.
It shows a two-line header at the top and a large semi-transparent text in the center.
Perfect for branding, labeling strategies, or watermarking screenshots.
Vivek's Advanced Stochastic Signals - Enhanced VisibilityVivek's Advanced Stochastic Signals - Enhanced Visibility
Combined RSI EnsembleA combined RSI Ensemble indicator that colors candles based on both overbought (≥80) and oversold (≤30) conditions using three RSI lengths (14, 9, 5). It assigns distinct colors for varying levels of overbought (gray, yellow, orange, red) and oversold (gray, light green, dark green, neon green) signals. The script also registers “Surely Overbought/Oversold” and “Probably Overbought/Oversold” signals for use in scanning, backtesting, and alerts.
Based on: trendspider.com
EMAs 20/50/100/200 + SMAs 50/100/200This indicator plots key exponential and simple moving averages to help identify trend direction and momentum. It includes the 20, 50, 100, and 200 EMAs alongside the 50, 100, and 200 SMAs. Each line can be toggled on or off, making it flexible for different trading styles. EMAs provide faster trend responsiveness, while SMAs smooth out longer-term price action. Together, they give a comprehensive view of both short- and long-term market structure.
8/21 EMA Crossover SignalAdds a buy signal to the chart when the 8 day EMA and 21 day EMA form a bullish cross and a sell signal when they form a bearish cross.
銘柄表示You can display currency pairs and time frames for each time period. The colors are different for each time period, but you can change the settings in the source.
MOMENTUM FUSION PRO RCTMOMENTUM FUSION PRO - Technical Indicator Description
Overview
MOMENTUM FUSION PRO is a sophisticated trading indicator that combines the power of the Awesome Oscillator (AO) with the Average Directional Index (ADX) to provide comprehensive momentum and trend analysis in a single, unified tool.
Key Features
🎯 Dual Indicator Integration
Awesome Oscillator: Tracks market momentum with customizable EMA/SMA periods
ADX with DM+/DM-: Measures trend strength and directional movement
Key Level -7: Unique threshold for enhanced signal accuracy
🔍 Advanced Divergence Detection
Regular Bullish/Bearish Divergences: Early reversal signals
Hidden Bullish/Bearish Divergences: Trend continuation patterns
Smart Pivot Recognition: Automated swing point identification
⚡ Real-Time Alerts
Color Change Alerts: Momentum shifts in AO
Divergence Alerts: All four divergence types
Customizable Parameters: Adjustable sensitivity and timeframes
Technical Specifications
Core Components
text
- Awesome Oscillator (5,34 periods default)
- ADX (14 periods default)
- DM+ and DM- lines
- Key Level: -7 (customizable)
- Divergence Lookback: 5-60 bars
Visual Features
Color-Coded Columns: AO momentum visualization
Label Markers: Clear divergence identification
Multi-Line Display: ADX, DM+, DM- integrated scaling
Professional Layout: Clean, non-cluttered interface
Trading Applications
📈 Momentum Trading
Identify momentum shifts with AO color changes
Confirm trend strength with ADX above key levels
Spot entry/exit points with divergence signals
📊 Trend Analysis
Gauge trend direction with DM+ vs DM-
Assess trend strength with ADX values
Filter trades using momentum-trend alignment
🎯 Signal Confirmation
High-Probability Setups: AO divergence + ADX confirmation
Risk Management: Multiple timeframe alignment
Strategy Validation: Combined momentum and trend analysis
Unique Selling Points
🌟 All-in-One Solution
Replaces multiple separate indicators
Reduces chart clutter
Streamlines analysis process
🚀 Professional Grade
Advanced algorithm for accurate signals
Customizable for all trading styles
Suitable for all market conditions
💡 Intelligent Fusion
Seamless integration of momentum and trend
Smart scaling for optimal visualization
Adaptive to different instruments and timeframes
Ideal For
Day Traders - Quick momentum and trend assessment
Swing Traders - Reliable divergence and trend signals
Position Traders - Long-term momentum and trend alignment
Algorithmic Trading - Clear, programmable signals
Performance Benefits
Faster Analysis: Single indicator does the work of multiple tools
Higher Accuracy: Combined signals reduce false positives
Better Timing: Early divergence detection with trend confirmation
Enhanced Confidence: Multi-factor validation for trade decisions
"Where Momentum Meets Trend Strength - Trade with Professional Precision"
Slingshot TrendSlingshot Trend Indicator Guide
What it does: This TradingView indicator identifies bullish "slingshot" momentum in uptrends. It uses stacked EMAs (21/34/55/89) and a higher-timeframe 89 EMA to confirm trends, then flags the first price breakout above a 4-period EMA of highs (after 3 bars below) as an entry signal.
Key signals:
☑️Entry trigger: Orange shape below bar + yellow entry line/label (at close price) when first slingshot fires in a bullish trend. Bars turn teal.
☑️Target: Green dashed line/label (entry + avg past ATR multiple × 14-period ATR).
☑️Exit: When trend ends (EMAs unstack or price drops below higher-TF 89 EMA); lines vanish.
Dashboard (bottom-right, if enabled):
☑️ATRx: Avg move size (in ATR multiples) for targets.
☑️Win%: % of past targets hit.
☑️AvgTTH: Avg days to target hit.
Tips: Use on higher timeframes (e.g., 1H+). Alert fires on trigger for notifications. Backtest on your assets—win rate tracks historical hits.
🐬TSI_ShadowAdded the following features to the original TSI Shadow indicator by Daveatt
- Candle color on/off
- Background color on/off
- Conservative signal processing based on the zero line on/off
- Conservative signal processing based on full signal alignment on/off
YouTube: 'Dolphin Gang'
기존 Daveatt 유저가 개발한 TSI Shadow 에서 아래 기능을 추가 하였습니다.
- 캔들 색상 on/off
- 배경 색상 on/off
- 0선 기준으로 신호 발생 보수적 처리 on/off
- 전체 배열 신호 발생 보수적 처리 on/off
유튜브 '돌고래매매단'
Symmful rangeAsian Range Indicator
The Asian Range Indicator automatically marks the high and low of the Asian trading session on your chart, helping traders visualize key liquidity zones and potential breakout levels. This tool highlights the range between the Tokyo session open and close (or your custom time settings), giving you a clear framework for:
• Identifying Market Consolidation: Spot accumulation/distribution zones before London and New York sessions.
• Planning Breakout Trades: Anticipate volatility when price breaks above or below the Asian range.
• Setting Precise Targets & Stops: Use the range boundaries for risk management and confluence with other strategies.
Customizable settings allow you to adjust session times, display colors, and line styles, making it ideal for day traders, scalpers, and swing traders alike.
VWAP Bollinger CrossBased on the crossover of the moving average and VWAP, this indicator can help you find a trend. It is not recommended to use it only for entries. Try it and I hope it can help you.
Premier Stochastic Oscillator [LazyBear, V2]This script builds on the well-known Premier Stochastic Oscillator (PSO) originally introduced by LazyBear, and adds a Z-Score extension to provide statistical interpretation of momentum extremes.
Features
Premier Stochastic Core: A smoothed stochastic calculation that highlights bullish and bearish momentum phases.
Z-Score Mapping: The PSO values are standardized into Z-Scores (from –3 to +3), quantifying the degree of momentum stretch.
Positive / Negative Z-Scores:
Positive Z values suggest momentum strength that can align with accumulation or favorable buying conditions.
Negative Z values indicate stronger bearish pressure, often aligning with selling or distribution conditions.
On-Chart Label: The current Z-Score is displayed on the latest bar for quick reference.
How to Use
Momentum Confirmation: Use the oscillator to confirm whether bullish or bearish momentum is intensifying.
Overextended Conditions: Extreme Z-Scores (±2 or beyond) highlight statistically stretched conditions, often preceding reversions.
Strategic Integration: Best applied in confluence with trend tools or higher-timeframe filters; not a standalone trading signal.
Originality
Unlike the standard PSO, this version:
Adds a Z-Score framework for objective statistical scaling.
Provides real-time labeling of Z values for clarity.
Extends the classic oscillator into a tool for both momentum detection and mean-reversion context.
BB 3-Step Signals (Setup→Trigger→Target) + RSI + MACDHow it uses Upper, Middle, Lower together
Lower/Upper define the Setup with stretch + momentum agreement.
Middle is the Trigger (confirmation) via a proper cross through the basis.
Opposite Outer Band is the Target validation. If not reached within maxBarsSeq, the sequence expires.
Price Distance from SMA (Std Dev)This indicator shows the standard deviation move (+/-) away from the designated Simple Moving Average of the users choice. The 20-period SMA is the default, but the user can change it to whatever they like.
Relative Strength Index DoubleDouble oversold and overbought lines.
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m1scfx Key Open LevelsICT Key Opens plots the most important session opening prices used in ICT concepts. These levels serve as key reference points for intraday bias, liquidity grabs, and market structure shifts. The indicator automatically marks the Midnight Open, London Open, and New York Open (with options for additional opens such as Weekly or Asian), so you never need to plot them manually. Each level is customizable with colors and styles, making it easy to track how price reacts around them. Perfect for traders who follow ICT concepts, this tool helps you quickly identify bias, anticipate liquidity hunts, and align your setups with institutional order flow.