Fractal Breakout Oscillator 2.0Summary of Changes & Improvements for 2.0
• Weighting Adjustments:
Revised component weights based on academic insights and Fibonacci principles.
New Suggested Weights:
Fractal Frequency: 70%
Price Distance: 15%
Trend Direction: 15%
Enhanced Component Integration:
o Now balance of structural turning points (via fractals) with volatility-adjusted momentum (using ATR normalization and EMAs).
Recommended Starting Points by Timeframe
Short Timeframes (e.g., 1-min, 5-min)
• ATR Period: 10–12
(A shorter period captures rapid volatility changes.)
• EMA Periods: 3–5 bars
(For Price Distance, Trend Direction, and Oscillator smoothing to maintain responsiveness.)
• Fractal Average Length: 5–7
(A lower value to ensure faster detection of local extremes.)
• Sensitivity Control: Set on the lower side to capture quick signals.
Medium Timeframes (e.g., 15-min, 30-min, 1-hr)
• ATR Period: 14 (default)
(Balances reactivity with noise reduction.)
• EMA Periods: 5 bars
(Provides a good mix of smoothness and responsiveness.)
• Fractal Average Length: ~10
(Ensures clarity without over-smoothing fractal signals.)
• Sensitivity Control: Mid-range to capture relevant signals without excess noise.
Higher Timeframes (e.g., Daily, Weekly)
• ATR Period: 20 or more
(A longer period smooths out daily volatility to focus on major moves.)
• EMA Periods: 7–10 bars
(Stronger smoothing helps filter out minor fluctuations.)
• Fractal Average Length: 15–20
(Captures significant turning points and reduces false positives.)
• Sensitivity Control: Slightly higher to filter out short-term noise and focus on long-term trends.
Analizy Trendu
Fractal Breakout Oscillator 1.0Fractal Breakout Oscillator 1.0
This custom indicator is designed to help traders identify local tops and local bottoms using fractal analysis, price distance, and trend direction. It combines weighted components to generate the Fractal Breakout Oscillator (FBO). The oscillator reacts to extreme levels in price and trend behavior, with the ability to adjust sensitivity and smoothing parameters.
Components and Usage
1. Fractal Detection:
o Detects fractal tops and bottoms using a 3-bar pattern.
o The number of fractals averaged can be adjusted with the Fractals for Average parameter.
2. Oscillator Calculation:
o Combines price distance, trend direction, and fractal frequency using adjustable weights.
o Use the sensitivity control to tune how strictly the fractal signals respond.
o Extreme values of the oscillators indicate potential overbought or oversold conditions.
3. Customization:
o Customize top/bottom marker colors.
o Enable multipliers (e.g., Golden Ratio) to refine component behavior.
o Adjust smoothing periods and lookback to improve signal reliability.
Disclaimer
This indicator is provided for educational and research purposes only. It should not be considered as financial or trading advice. Always perform your own analysis and consult a financial advisor before making trading decisions. Past performance does not guarantee future results.
Multi-Moving Average Buy/Sell IndicatorThis Multi-Moving Average Buy/Sell Indicator is a powerful and customizable tool designed to help traders identify potential buy and sell signals based on the interaction between price and multiple moving averages. Whether you're a day trader, swing trader, or long-term investor, this indicator provides clear visual cues and alerts to help you make informed trading decisions.
Key Features
1. Multiple Moving Averages
The indicator calculates four key moving averages:
9-period MA
20-period MA
50-period MA
180-period MA
You can choose the type of moving average:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
2. Custom Timeframe
Select a custom timeframe from a user-friendly dropdown menu:
1 Minute
5 Minutes
15 Minutes
30 Minutes
1 Hour
4 Hours
Daily
Weekly
The indicator dynamically adjusts to the selected timeframe, making it suitable for all trading styles.
3. Buy/Sell Signals
Buy Signal: Triggered when the price crosses above any of the moving averages.
Sell Signal: Triggered when the price crosses below any of the moving averages.
Signals are displayed as labels on the chart:
Green "BUY" Label: Below the bar when a buy signal is triggered.
Red "SELL" Label: Above the bar when a sell signal is triggered.
4. Visualization
Toggle the visibility of all moving averages using the showAllMAs input.
Moving averages are plotted with distinct colors for easy identification:
9 MA: Blue
20 MA: Orange
50 MA: Purple
180 MA: Teal
5. Alerts
The indicator generates alerts for buy and sell signals, which can be used for notifications or automated trading.
How to Use
Add the Indicator:
Open TradingView and go to the Pine Script Editor.
Copy and paste the script into the editor.
Click Add to Chart.
Configure Inputs:
maType: Choose the type of moving average (SMA, EMA, WMA).
timeframe: Select a custom timeframe (e.g., "1 Minute", "Daily").
showSignals: Toggle to show or hide buy/sell signals.
showAllMAs: Toggle to show or hide all moving averages.
Interpret the Signals:
Look for green "BUY" labels below the bars for potential buy opportunities.
Look for red "SELL" labels above the bars for potential sell opportunities.
Set Alerts:
Use the built-in alert system to get notified when buy or sell signals are triggered.
Example Use Cases
Day Trading
Use a 1-minute or 5-minute timeframe with an EMA for quick signals.
Example Inputs:
maType = "EMA"
timeframe = "5 Minutes"
showAllMAs = true
Swing Trading
Use a daily timeframe with an SMA for longer-term signals.
Example Inputs:
maType = "SMA"
timeframe = "Daily"
showAllMAs = false
Why Use This Indicator?
Versatility: Suitable for all trading styles and timeframes.
Customization: Choose your preferred moving average type and timeframe.
Clear Signals: Easy-to-read buy/sell labels and moving averages.
Alerts: Never miss a trading opportunity with built-in alerts.
Limitations
False Signals:
The indicator may generate false signals in choppy or sideways markets. Always combine it with other tools (e.g., RSI, volume analysis) for better accuracy.
Timeframe Dependency:
The effectiveness of the signals depends on the selected timeframe. Shorter timeframes may produce more signals but with higher noise.
No Backtesting:
The script does not include backtesting functionality. Test the strategy manually on historical data.
Customization Options
Add More Moving Averages: Modify the script to include additional moving averages (e.g., 200 MA).
Change Signal Logic: Adjust the conditions for buy/sell signals (e.g., require confirmation from multiple moving averages).
Add Alerts for Specific MAs: Create separate alerts for signals based on specific moving averages (e.g., only 9 MA or 50 MA).
NY ORB with Fib Levels, Extensions & Buy/Sell Signals Orb High, Orb Low set to the first 15 minutes of New York market open, fib levels placed between -1 to 2, with a buy signal if a 1m candle closes above or below the ORB structures
Customizable EMA crossover, BB TP | javieresfelizThis indicator is designed to help traders identify trend changes through the crossover of two exponential moving averages (EMA) and establish a dynamic Take Profit (TP) level based on Bollinger Bands. It is not an automated trading strategy nor does it generate buy/sell signals on its own; it is a complementary tool for technical analysis.
Features:
✅ Customizable EMA crossover – Users can define the periods for the fast and slow EMA to suit their strategy.
✅ Trend identification – Visually shows whether the price is in an uptrend, downtrend, or neutral phase.
✅ Crossover alerts – Traders can optionally enable alerts when a bullish or bearish crossover occurs.
✅ Take Profit based on Bollinger Bands – If the trend is bullish, the TP is set at the upper band; if bearish, at the lower band.
How does it work?:
-When the fast EMA crosses above the slow EMA, it is considered a possible bullish trend signal.
-When the fast EMA crosses below the slow EMA, it may indicate a potential shift to a bearish trend.
-The dynamic TP adjusts with Bollinger Bands, reflecting market volatility.
Suggested EMA fast/slow settings for different timeframes:
1m: 5 EMA / 13 EMA
5m: 9 EMA / 21 EMA
15m: 10 EMA / 30 EMA
30m: 10 EMA / 50 EMA
1h: 20 EMA / 50 EMA
4h: 21 EMA / 100 EMA
1D: 50 EMA / 200 EMA
1W: 50 EMA / 200 EMA
Limitations:
⚠️ This indicator does not guarantee profitability and should be used alongside other analysis factors.
⚠️ It does not incorporate commissions, slippage, or risk management, as it is not a backtesting strategy.
⚠️ It should not be interpreted as investment advice.
This script is designed to enhance the visual interpretation of the market and facilitate informed decision-making within technical analysis. 🚀📊
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Este indicador está diseñado para ayudar a los traders a identificar cambios de tendencia mediante el cruce de dos medias móviles exponenciales (EMA) y establecer un nivel de Take Profit (TP) dinámico basado en las Bandas de Bollinger. No es una estrategia de trading automatizada ni genera señales de compra/venta por sí sola; es una herramienta complementaria para el análisis técnico.
Características:
✅ Cruce de EMAs personalizable – Los usuarios pueden definir los períodos de la EMA rápida y la EMA lenta para ajustarse a su estrategia.
✅ Identificación de tendencias – Muestra visualmente si el precio se encuentra en una tendencia alcista, bajista o neutral.
✅ Alertas de cruce – Opcionalmente, los traders pueden activar alertas cuando ocurre un cruce alcista o bajista.
✅ Take Profit basado en Bandas de Bollinger – Si la tendencia es alcista, el TP se establece en la banda superior; si es bajista, en la banda inferior.
¿Cómo funciona?:
-Cuando la EMA rápida cruza por encima de la EMA lenta, se considera una posible señal de tendencia alcista.
-Cuando la EMA rápida cruza por debajo de la EMA lenta, puede indicar un posible cambio a tendencia bajista.
-El TP dinámico se ajusta con las Bandas de Bollinger, reflejando la volatilidad del mercado.
Sugerencia para usar EMA rápida/lenta en diferentes temporalidades:
1m: 5 EMA / 13 EMA
5m: 9 EMA / 21 EMA
15m: 10 EMA / 30 EMA
30m: 10 EMA / 50 EMA
1h: 20 EMA / 50 EMA
4h: 21 EMA / 100 EMA
1D: 50 EMA / 200 EMA
1W: 50 EMA / 200 EMA
Limitaciones:
⚠️ Este indicador no garantiza rentabilidad y debe utilizarse junto con otros factores de análisis.
⚠️ No incorpora comisiones, deslizamiento ni gestión de riesgo, ya que no es una estrategia de backtesting.
⚠️ No se debe interpretar como una recomendación de inversión.
Este script está diseñado para mejorar la interpretación visual del mercado y facilitar la toma de decisiones informadas dentro del análisis técnico. 🚀📊
Cryptonando Beta2📈 Cryptonando Beta2 – Confluências Inteligentes para Trading
Descrição:
O Cryptonando Beta2 é um indicador avançado projetado para ajudar traders a identificar oportunidades de compra (Buy) e venda (Sell) com base em múltiplas confluências técnicas. Ele combina médias móveis, RSI, volume e análise de tendência para oferecer sinais mais confiáveis.
🔹 Principais Recursos:
✅ Sinais de Buy & Sell baseados em cruzamento de EMAs (12 e 26) com filtros inteligentes
✅ Filtro de tendência EMA 50 para evitar operações contra a tendência
✅ Confirmação de volume para validar a força do movimento
✅ Filtragem de mercado lateral para evitar sinais em consolidação
✅ RSI Extremo: marcações visuais para sobrecompra/sobrevenda (personalizáveis)
✅ Médias móveis personalizáveis: EMA 12, 26, 50, 100, 200 e SMA 200
✅ Alertas automáticos para sinais de compra e venda confirmados
🔹 Personalização Total
Ative ou desative qualquer confluência diretamente pelo menu de configurações para adaptar o indicador ao seu estilo de trading!
💡 Ideal para quem busca operações baseadas em análise técnica e confluências de indicadores para maximizar a precisão dos trades.
🚀 Adicione o Cryptonando Beta2 ao seu gráfico e experimente agora!
CryptoEternal - Auto-Length Moving Average + 15m SniperCryptoEternal - Auto-Length Moving Average + 15m Sniper
Overview:
CryptoEternal is an advanced trading strategy designed for crypto traders who seek adaptive and dynamic trend-following capabilities. This strategy leverages an Auto-Length Moving Average combined with various technical indicators to optimize entry and exit points on a 15-minute timeframe. It intelligently adjusts to market conditions, ensuring traders can capitalize on sustained trends while filtering out short-term fluctuations.
Key Features:
- **Dynamic Moving Average (Auto-Length):** Adapts to market volatility and price action, adjusting its length based on predefined conditions.
- **Multiple Reset Conditions:** Includes slope changes, RSI thresholds, volume spikes, Bollinger Band breaks, MACD crossovers, Stochastic levels, CCI deviations, and momentum shifts to enhance trend recognition.
- **Trend Confirmation Mechanism:** Filters out noise by requiring a minimum number of consecutive bars to confirm a trend.
- **Flexible Counter Mechanism:** Allows traders to choose between continuous expansion or reversed counting when reaching threshold limits.
- **Comprehensive Visualization Tools:** Includes color-coded trend indicators, dynamic plots, and customizable overlays for better trade decision-making.
- **Adaptive Risk Management:** Utilizes ATR-based thresholds and trend smoothing to manage risk exposure effectively.
How It Works:
1. **Trend Identification:** The strategy analyzes price movements using a dynamic moving average, adjusting its length based on market conditions.
2. **Confirmation Filters:** Trend shifts are confirmed using multiple technical indicators, preventing false signals.
3. **Counter Mechanism:** The algorithm keeps track of trend strength, reversing or expanding trend periods as required.
4. **Signal Generation:** Entry and exit points are highlighted using color-coded markers and alerts, ensuring optimal trade execution.
Ideal For:
- Crypto traders looking for an automated trend-following strategy.
- Those who prefer dynamic adaptation over fixed-length moving averages.
- Traders who rely on multiple technical indicators for decision-making.
- Anyone seeking a reliable 15-minute sniper strategy for crypto trading.
Customization Options:
The strategy includes extensive input settings, allowing users to fine-tune parameters like trend length, counter thresholds, smoothing factors, and indicator-based reset conditions. Additionally, traders can customize colors, labels, and table displays for enhanced visualization.
Conclusion:
CryptoEternal provides a cutting-edge, adaptable trend-following approach that maximizes profit potential while mitigating risks. By leveraging dynamic moving averages, intelligent reset conditions, and trend-confirmation tools, this strategy ensures precision in crypto trading on a 15-minute timeframe.
Combo GEX + EMA & SMA 1.0Gamma Exposure (GEX) for the CBOE Volatility Index (VIX) is an estimate of how much option sellers need to hedge for every 1% change in the underlying asset's price. It's also known as Gamma Levels.
How is GEX calculated?
GEX is calculated based on a 1% move of the underlying security
It's calculated and updated throughout the day
It's based on market positioning and open interest
These regions are important because they show the regions where players can act more aggressively to defend their positions. When inserting the indicator on the chart, a popup will open requesting the GEX levels (Put wall, Vix Call Wall 0DTE, etc.)
In addition, 3 moving averages will be inserted into the chart. A 9-period exponential moving average, a 20-period arithmetic moving average, and a 200-period arithmetic moving average. These moving averages aim to indicate the possible trend of the asset, where pullbacks in these averages can signal a possible entry in favor of the trend.
EMA Cross ArrowsPlots a up/down arrow when 9 EMA crosses 13 EMA, I use it for the 2 minute candlestick chart on QQQ to see where momentum is shifting during the day.
Momentum AI - 1 min StructureA free companion indicator to Momentum AI. This shows you the basic 1min chart analysis you need for momumtum scalping.
Indicator includes all these features in one:
9 ema, 200 ema and VWAP
Upcoming Price Targets:
Whole dollar and .50 levels represented as dynamic lines.
Fibonacci targets
50% retrace (blue)
1.272 Fib Extension target (green)
these are calculated using the momentum peaks and determining a relevant target based on that movement.
Each of these elements are adjustable in the settings.
This is a must have indicator for short time frame scalping.
On-chain Zscore | QuantumResearchQuantumResearch On-chain Zscore Indicator
The On-chain Zscore Indicator by QuantumResearch is a cutting-edge tool designed for traders and analysts who leverage on-chain metrics to assess Bitcoin’s market conditions. This indicator calculates a composite Z-score using three key on-chain metrics: NUPL (Net Unrealized Profit/Loss), SOPR (Spent Output Profit Ratio), and MVRV (Market Value to Realized Value). By normalizing these values through standard deviations, the indicator provides a dynamic, data-driven approach to identifying overbought and oversold conditions, improving market timing and decision-making.
1. Overview
This indicator integrates multiple on-chain metrics to:
Assess Market Cycles – Utilize Z-score normalization to detect potential tops and bottoms.
Smooth Volatility – Apply EMA and standard deviation filtering to refine signals.
Identify Buy & Sell Signals – Use adaptive thresholds to highlight market extremes.
Provide Visual Clarity – Color-coded bar signals and background fills for intuitive analysis.
2. How It Works
A. Z-score Calculation
What is a Z-score? – The Z-score measures how far a data point deviates from its historical mean in terms of standard deviations. This helps in identifying statistical extremes.
Zscore(source,mean,std)=>
zscore = (source-mean)/std
zscore
Standard Deviation Normalization – Each on-chain metric (NUPL, SOPR, MVRV) is individually standardized before being combined into a final score.
B. On-Chain Components
NUPL Z-score – Measures unrealized profits and losses relative to market cycles.
SOPR Z-score – Evaluates profit-taking behavior on spent outputs.
MVRV Z-score – Assesses whether Bitcoin is overvalued or undervalued based on market cap vs. realized cap.
C. Composite On-chain Score
The indicator computes an average Z-score of the three on-chain metrics to create a composite market assessment.
Adaptive thresholds (default: 0.73 for bullish signals, -0.44 for bearish signals) dynamically adjust based on market conditions.
3. Visual Representation
This indicator features color-coded elements and dynamic threshold visualization:
Bar Colors
Green Bars – Bullish conditions when Z-score exceeds the upper threshold.
Red Bars – Bearish conditions when Z-score drops below the lower threshold.
Gray Bars – Neutral market conditions.
Threshold Bands & Background Fill
Upper Band (Overbought) – Default threshold set at 0.73.
Middle Band – Neutral zone at 0.
Lower Band (Oversold) – Default threshold set at -0.44.
4. Customization & Parameters
This indicator is highly configurable, allowing traders to fine-tune settings based on their strategy:
On-Chain Z-score Settings
NUPL Z-score Length – Default: 126 periods
SOPR Z-score Length – Default: 111 periods
MVRV Z-score Length – Default: 111 periods
Signal Thresholds
Upper Threshold (Bullish Zone) – Default: 0.73
Lower Threshold (Bearish Zone) – Default: -0.44
Color & Visual Settings
Choose from eight customizable color modes to suit personal preferences.
5. Trading Applications
The On-chain Zscore Indicator is versatile and can be applied in various market scenarios:
Macro Trend Analysis – Identify long-term market tops and bottoms using normalized on-chain metrics.
Momentum Confirmation – Validate price action trends with SOPR & MVRV behavior.
Market Timing – Use deviation thresholds to enter at historically significant price zones.
Risk Management – Avoid overextended markets by watching for extreme Z-score readings.
6. Final Thoughts
The QuantumResearch On-chain Zscore Indicator provides a unique approach to market evaluation by combining three critical on-chain metrics into a single, normalized score.
By standardizing Bitcoin’s market behavior, this tool helps traders and investors make informed decisions based on historical statistical extremes.
Backtesting and validation are essential before using this indicator in live trading. While it enhances market analysis, it should be used alongside other tools and strategies.
Disclaimer: No indicator can guarantee future performance. Always use appropriate risk management and perform due diligence before trading.
Combo Gama Exposure + EMA + SMA 1.0Gamma Exposure (GEX) for the CBOE Volatility Index ( TVC:VIX ) is an estimate of how much option sellers need to hedge for every 1% change in the underlying asset's price. It's also known as Gamma Levels.
How is GEX calculated?
GEX is calculated based on a 1% move of the underlying security
It's calculated and updated throughout the day
It's based on market positioning and open interest
These regions are important because they show the regions where players can act more aggressively to defend their positions. When inserting the indicator on the chart, a popup will open requesting the GEX levels (Put wall, Vix Call Wall 0DTE, etc.)
In addition, 3 moving averages will be inserted into the chart. A 9-period exponential moving average, a 20-period arithmetic moving average, and a 200-period arithmetic moving average. These moving averages aim to indicate the possible trend of the asset, where pullbacks in these averages can signal a possible entry in favor of the trend.
Ichimoku Trend Change Signals -ByJacoone-Indicatore basato sull'Ichimoku Cloud che segnala con delle frecce quando il mercato cambia direzione, ad esempio quando il prezzo attraversa il Tenkan-Sen (linea di conversione) o il Kijun-Sen (linea di base).
NFP High/Low LevelsThis indicator plots high and low levels with horizontal lines for the last 12 NFP Days
NFP Days are input in the indicator settings
Labels are placed according to the Month and if it is a High or Low price for the NFP Day
Price tracking on each NFP day starts 30 min before market open until market close (0830-1559 EST)
NFP hours are marked at the bottom of the chart to verify the NFP session visually, adjustable in settings
Works for 1H and below timeframes and on Futures
Here is an example of the indicator on NQ1! chart
Z-Score Pivot Manager v4Overview
This advanced TradingView script merges two powerful strategies into one versatile tool:
Z-Score Pivot Detection identifies statistically significant price extremes using standard deviation.
Magic Trend Signals generate dynamic entry/exit points with trailing stops based on CCI and ATR.
Perfect for trend traders and mean-reversion strategists, it visualizes key levels and signals directly on your chart.
Key Features
1. Z-Score Pivot System
Statistical Extremes Detection:
Calculates Z-Scores (standard deviations from the mean) to flag overbought/oversold pivots.
Adjustable thresholds (Z-Score High/Low) filter only significant pivots.
Smart Pivot Management:
Auto-removes nearby pivots within a user-defined Min Distance (%).
Dynamically adjusts pivot lines: Turns lines red when broken by price action.
Limits clutter with Max Pivots to Show control.
Visuals: White X-cross marks for pivots above/below bars + adaptive horizontal lines.
2. Magic Trend Signals
Trend Direction & Trailing Stops:
Uses CCI (Commodity Channel Index) and ATR (Average True Range) to plot trailing stop levels.
Two adjustable multipliers create a "buffer zone" for trend confirmation.
Entry/Exit Signals:
Buy (▲) when price closes above the upper trend line.
Sell (▼) when price closes below the lower trend line.
Candlestick Coloring: Automatically colors candles based on trend direction (green = bullish, orange = bearish).
Customizable Inputs
Z-Score Settings: Period, pivot sensitivity (Left/Right Bars), and distance filters.
Magic Trend Parameters: Adjust CCI period, ATR length, and multiplier strength.
Visual Controls: Tweak signal markers, pivot colors, and trend line styles.
How to Use
Identify Pivots: Look for X-crosses marking extremes. Broken pivot lines (red) indicate potential reversals.
Follow the Trend: Trade in the direction of the Magic Trend's colored candles.
Execute Signals: Enter/exit using the triangle markers (▲/▼) when price crosses trend boundaries.
Ideal For: Swing traders, positional traders, and analysts seeking confluence between statistical extremes and trend momentum.
"Talha's Pro Signal v2"📌 Talha's Pro Signal - Description
Talha's Pro Signal is a trend-following indicator that combines Exponential Moving Averages (EMA), Relative Strength Index (RSI), and Moving Average Convergence Divergence (MACD) to provide precise Buy and Sell signals.
🔍 How it Works?
1️⃣ Trend Detection:
The script uses EMA 9 & EMA 21 crossover to detect trend direction.
When EMA 9 crosses above EMA 21, it indicates a bullish trend (Buy Signal).
When EMA 9 crosses below EMA 21, it indicates a bearish trend (Sell Signal).
2️⃣ Momentum Confirmation (RSI & MACD):
RSI (14) > 50 confirms bullish momentum.
MACD Line > Signal Line confirms buying strength.
Opposite conditions confirm selling strength.
3️⃣ Stop-Loss & Take-Profit Calculation:
Uses ATR (14) for dynamic SL & TP calculation.
Stop-loss = 1.5 × ATR.
Take-profit = 2 × ATR.
🎯 Best Used For:
✅ Suitable for Forex, Crypto, and Stocks.
✅ Works best on higher timeframes (15m, 1H, 4H, Daily).
✅ Helps traders avoid false signals by combining trend + momentum confirmation.
My strategyrsi strategy to trade based on RSi indicator it will give some indication to move below or go up
RSI On SteroidsThe RSI On Steroids indicator combines the Relative Strength Index (RSI) with the Augmented Dickey-Fuller (ADF) test to enhance trend identification and reduce market noise. This hybrid approach allows traders to detect stronger market movements with greater accuracy, making it useful for both trend confirmation and mean-reversion strategies.
By integrating RSI’s momentum-based insights with the ADF test’s statistical validation of trend persistence, this tool helps filter out weak signals, improving overall market analysis.
How It Works
- The RSI component measures momentum and overbought/oversold conditions based on user-defined upper and lower bands.
- The ADF test analyzes price action, determining whether the market is trending or reverting to a mean.
- Moving Average (MA) smoothing can be applied to both RSI and ADF values, helping to refine signals and reduce short-term fluctuations.
- Threshold levels for both indicators allow for the identification of breakout opportunities or mean-reversion setups.
- Optional bar coloring and background visualization improve clarity, highlighting bullish and bearish conditions.
How to Use It
1. Trend Confirmation & Reversals:
(a) If RSI breaks above the upper band, it signals strong upward momentum.
(b) If ADF crosses above its threshold, it validates a potential trend breakout.
(c) When both RSI and ADF align, the signal is stronger, confirming momentum shifts or trend continuations.
2. Smoothing for Noise Reduction:
(a) Enable MA smoothing to filter out short-term fluctuations and identify clearer signals.
(b) Choose from SMA, EMA, VWMA, WMA, HMA, and RMA to match market conditions and trading preferences.
3. Visual Cues for Decision Making:
(a) Bar and background colors dynamically update based on market conditions.
(b) RSI and ADF plots (optional) allow deeper analysis for traders who prefer visual confirmation.
Default Settings & Recommended Usage
- RSI Period: 16
- RSI MA Length: Enabled 10, EMA
- Upper RSI Band: 54 | Lower RSI Band: 22
- ADF Lookback Period: 20
- ADF MA Smoothing: Enabled 34, EMA
- Upper ADF Threshold: -1.45 | Lower ADF Threshold: -2.3
- Default Settings Adjusted for 2D timeframe for reliable trend confirmation and reversion signals.
Conclusion
The RSI On Steroids indicator merges momentum analysis (RSI) with statistical validation (ADF test) to offer a more robust and precise approach to trend detection. By filtering out market noise and identifying stronger price movements, traders can gain better insights into trend continuations and reversals.
- Important Note: No trading indicator guarantees future results. Historical performance does not predict future success.
- Strategic Consideration: Traders should fine-tune settings, validate signals with additional analysis, and apply risk management strategies to optimize this indicator for real-world trading.
ADF For GsThe ADF For Gs indicator implements the Augmented Dickey-Fuller (ADF) test, a statistical method commonly used to determine if a time series is mean-reverting or following a trend. By applying Moving Average (MA) smoothing, this indicator provides an adaptive way to detect market conditions where price action is either trending or reverting to a mean.
How It Works
- The ADF test statistic is calculated within a rolling window defined by the lookback period.
- The lag length is adjustable to account for serial correlation in price changes.
- The test statistic is compared to pre-defined threshold levels (upperEntry and lowerEntry) to identify potential trend breaks and reversals.
- Users can smooth the ADF values with different Moving Average types (SMA, EMA, VWMA, WMA, HMA, RMA), providing flexibility in signal interpretation.
- The indicator also includes dynamic bar and background coloring, visually enhancing trend and reversal conditions.
How to Use It
1. Trend vs. Mean Reversion:
(a) When the ADF statistic crosses above the upper threshold, it suggests a potential trend breakout.
(b) When it crosses below the lower threshold, it indicates a potential mean reversion.
2. Moving Average Smoothing:
(a) If useMA is enabled, the ADF values are smoothed using a selected MA type to filter noise.
(b) This allows for a more gradual trend-following approach.
3. Visual Cues:
(a) Background color changes to indicate bullish or bearish conditions.
(b) Candles are color-coded based on crossover signals to highlight entry/exit opportunities.
Default Settings & Recommended Usage
- Default period: 22 bars (4D timeframe recommended)
- MA smoothing enabled with a 23-length EMA
- Upper Entry level: -1.4 | Lower Entry level: -2.3
- Best used in trending markets to confirm breakout or mean reversion trades
Conclusion
The ADF For Gs indicator is designed to detect market trends and reversals by applying the Augmented Dickey-Fuller (ADF) test with Moving Average smoothing. By combining statistical validation with adaptive trend filtering, it helps traders separate meaningful price movements from temporary fluctuations. Whether used to confirm trends or identify mean-reversion opportunities, this tool provides a structured, data-driven approach to market analysis.
- Important Note: No trading indicator can predict future price movements with certainty. Historical performance does not guarantee future results.
- Best Practices: To get the most out of this indicator, traders should test different settings, validate signals with additional tools, and use proper risk management. Adjusting parameters to suit individual strategies can improve accuracy and overall effectiveness.
Adaptive Supply and Demand [EdgeTerminal]Adaptive Supply and Demand is a dynamic supply and demand indicator with a few unique twists. It considers volume pressure, volatility-based adjustments and multi-time frame momentum for confidence scoring (multi-step confirmation) to generate dynamic lines that adjust based on the market and also to generate dynamic support/resistance levels for the supply and demand lines.
The dynamic support and resistance lines shown gives you a better situational awareness of the current state of the market and add more context to why the market is moving into a certain direction.
> Trading Scenarios
When the confidence score is over 80%, strong volume pressure in trend direction (up or down), volatility is low and momentum is aligned across timeframes, there is an indication of a strong upward or downward trend.
When the supply and demand line crossover, the confidence score is over 75% and the volume pressure is shifting, this can be an indicator of trend reversal. Use tight initial stops, scale into position as trend develops, monitor the volume pressure for continuation and wait for confidence confirmation.
When the confiance score is below 60%, the volume pressure is choppy, volatility is high, you want to avoid trading or reduce position size, wait for confidence improvements, use support and resistance for entries/exits and use tighter stops due to market conditions. This is an indication of a ranging market.
Another scenario is when there is a sudden volume pressure increase, and a raising confidence score, the volatility is expanding and the bar momentum is aligning the volatility direction. This can indicate a breakout scenario.
> How it Works
1. Volume Pressure Analysis
Volume Pressure Analysis is a key component that measures the true buying and selling force in the market. Here's a detailed breakdown. The idea is to standardize volume to prevent large spikes from skewing results.
The indicator employs an adaptive volume normalization technique to detect genuine buying and selling pressure.
It takes current volume and divides it by average volume.
If normVol > 1: Current volume is above average
If normVol < 1: Current volume is below average
An example if this would be If current volume is 1500 and average is 1000, normVol = 1.5 (50% above average)
Another component of the volume pressure analysis is the Price Change Calculation sub-module. The purpose of this is to measure price movement relative to recent average.
It works by subtracting the average price from the current price. If the value is positive, price is average and if negative, price is below average.
Finally, the volume pressure is calculated to combine volume and price for true pressure reading.
2. Savitzky-Golay Filtering
SG filtering implements advanced signal smoothing while preserving important trend features. It uses weighted moving average approximation, preserves higher moments of data and reduces noise while maintaining signal integrity.
This results in smoother signal lines, reduced false crossovers and better trend identification. Traditional moving averages tend to lag and smooth out important features. Additionally, simple moving averages can miss critical turning points and regular smoothing can delay signal generation.
SG filtering preserves higher moments such as peaks, valleys and trends, reduces noise while maintaining signal sharpness.
It works by creating a symmetric weighting scheme. This way center points get the highest weights while edge points get the lowest weight.
3. Parkinson's Volatility
Parkinson's Volatility is an advanced volatility measurement formula using high-low range data. It uses high-low range for volatility calculation, incorporates logarithmic returns and annualized the volatility measure.
This results in more accurate volatility measurement, better risk assessment and dynamic signal sensitivity.
4. Multi-timeframe Momentum
This combines signals from each module for each timeframe to calculate momentum across three timeframes. It also applies weighted importance to each timeframe and generates a composite momentum signal.
This results in a more comprehensive trend analysis, reduced timeframe bias and better trend confirmation.
> Indicator Settings
Short-term Period:
Lower values makes it more sensitive, meaning it will generate more signals. Higher values makes it less sensitive, resulting in fewer signals. We recommend a 5 to 15 range for day trading, and 10 to 20 for swing trading
Medium-term Period:
Lower values result in faster trend confirmation and higher values show slower and more reliable confirmation. We recommend a range of 15-25 for day trading and 20-30 for swing trading.
Long-term Period:
Lower values makes it more responsive to trend changes and higher values are better for major trend identification. We recommend a range of 40-60 for day trading and 50-100 for swing trading.
Volume Analysis Window:
Lower values result in more sensitivity to volume changes and higher values result in smoother volume analysis. The optimal range is 15-25 for most trading styles.
Confidence Threshold:
Lower values generate more signals but quality decreases. Higher values generate fewer signals but accuracy increases.The optimal range is 0.65-0.8 for most trading conditions.
Reversal Probability Zone & Levels [LuxAlgo]The Reversal Probability Zone & Levels tool allows traders to identify a zone starting from the last detected reversal to highlight the probability of where the next reversal would be from a price and time perspective.
Price and time levels within the zone are displayed for up to 4 percentiles defined by the user.
🔶 USAGE
By default, the tool displays a zone with the 25th, 50th, 75th and 90th percentiles on both the price and time axis, indicating where, when and how many of the past reversals have occurred.
Traders can select the length for swing detection and the maximum number of reversals for probability calculations. The tool considers both bullish and bearish reversals separately, which means that if the last reversal was a swing high, the zone would show the probabilities for the last defined Maximum reversals
The Maximum reversals value has a direct impact on the probabilities, the more data traders use the more significant the result, probabilities over 10 occurrences are far weak compared to probabilities over 1000 occurrences.
🔹 Percentiles
Traders can fine-tune the percentile parameters in the settings panel.
A given percentile means that the number of occurrences in the data set is less than or equal to the percentile.
In English, this means
Percentile 20th: 20% of the occurrences are less than or equal to this value, so 80% of the occurrences are greater than this value.
Percentile 50th: 50% of the occurrences are below and 50% are above this value.
Percentile 80th: 80% of occurrences are lower than or equal to this value, so 20% of occurrences are greater than this value.
🔹 Normalize data
The Normalize Data feature allows traders to make an apples to apples comparison when we have a lot of historical data on high timeframe charts, using returns between swings instead of raw price.
🔹 Display Style
By default, the tool has the No overlapping feature enabled to display a clean chart, traders can turn it off, but this can fill the chart with too much information and barely see the price.
Traders can enable/disable settings to show only the last zone and the swing markers on the chart.
🔶 SETTINGS
Swing Length: The maximum length in bars used to identify a swing
Maximum Reversals: Maximum number of reversals included in calculations
Normalize Data: Use returns between swings instead of raw price
Percentiles: Enable/disable each of the four percentiles and select the percentile number, line style, colors, and size
🔹 Style
No Overlapping Zones: Enable or disable the No overlap between zones feature
Show Only Last Zone: Enable/disable display of last zone only
Show Marks: Enable/disable reversal markers
Tenkan-Sen & Kijun-Sen - MensualThis TradingView script calculates and plots the Tenkan-Sen and Kijun-Sen lines on the monthly timeframe, based on the Ichimoku Kinko Hyo indicator.
Tenkan-Sen (red line): A fast-moving average based on the last 9 periods, used to identify short-term trend changes.
Kijun-Sen (blue line): A slower-moving average based on 26 periods, acting as a stronger support/resistance and a key trend reference.
How to Use in Trading
✅ If the price is above both Kijun-Sen and Tenkan-Sen, the market is considered bullish.
✅ If the price bounces off Kijun-Sen or Tenkan-Sen, it may signal a continuation of the trend.
⚠ If the price breaks below Kijun-Sen, it could indicate a potential trend reversal.
This script helps traders visualize key dynamic support and resistance levels on monthly charts, making informed trading decisions easier. 📈🔥
