Pulse Volume Commitment [JOAT]
Pulse Volume Commitment - Three-Dimensional Momentum Analysis
Introduction and Purpose
Pulse Volume Commitment is an open-source oscillator indicator that analyzes price action through three distinct dimensions: Quantity (candle count), Quality (body structure), and Commitment (volume-weighted quality). The core problem this indicator solves is that simple bullish/bearish candle counts miss important context. A market can have more green candles but still be weak if those candles have small bodies and low volume.
This indicator addresses that by requiring all three dimensions to align before generating strong signals, filtering out weak moves that lack conviction.
Why These Three Dimensions Work Together
Each dimension measures a different aspect of market conviction:
1. Quantity - Counts bullish vs bearish candles over the lookback period. Tells you WHO is winning the candle count battle.
2. Quality - Scores candles by body size relative to total range. Full-bodied candles (small wicks) indicate stronger conviction than doji-like candles. Tells you HOW decisively price is moving.
3. Commitment - Weights quality scores by volume. High-quality candles on high volume indicate institutional participation. Tells you WHETHER smart money is involved.
When all three align (e.g., more bullish candles + bullish quality + bullish commitment), the signal is significantly more reliable.
How the Calculations Work
Quantity Analysis:
int greenCount = 0
int redCount = 0
for i = 0 to lookbackPeriod - 1
if close > open
greenCount += 1
if close < open
redCount += 1
bool quantityBull = greenCount > redCount
Quality Analysis (body-to-range scoring):
for i = 0 to lookbackPeriod - 1
float candleBody = close - open // Signed (positive = bull)
float candleRange = high - low
float bodyQuality = candleRange > 0 ? (candleBody / candleRange * 100) * candleRange : 0.0
sumBodyQuality += bodyQuality
bool qualityBull = sumBodyQuality > 0
Signal Types
FULL BULL - All three dimensions bullish (Quantity + Quality + Commitment)
FULL BEAR - All three dimensions bearish
LEAN BULL/BEAR - 2 of 3 dimensions agree
MIXED - No clear consensus
STRONG BUY/SELL - Full confluence + ADX confirms trending market
ADX Integration
The indicator includes ADX (Average Directional Index) to filter signals:
- ADX >= 20 = TRENDING market (signals more reliable)
- ADX < 20 = RANGING market (signals may whipsaw)
Strong signals only trigger when full confluence occurs in a trending environment.
Dashboard Information
Quantity - BULL/BEAR/FLAT with green/red candle ratio
Quality - Directional bias based on body quality scoring
Commit - Volume-weighted commitment reading
ADX - Trend strength (TRENDING/RANGING)
Signal - Confluence status (FULL BULL/FULL BEAR/LEAN/MIXED)
Action - STRONG BUY/STRONG SELL/WAIT
How to Use This Indicator
For High-Conviction Entries:
1. Wait for FULL BULL or FULL BEAR confluence
2. Confirm ADX shows TRENDING
3. Enter when Action shows STRONG BUY or STRONG SELL
For Filtering Weak Setups:
1. Avoid entries when signal shows MIXED
2. Be cautious when ADX shows RANGING
3. Require at least 2 of 3 dimensions to agree
For Divergence Analysis:
1. Watch for Quantity bullish but Commitment bearish (distribution)
2. Watch for Quantity bearish but Commitment bullish (accumulation)
Input Parameters
Lookback Period (9) - Bars to analyze for all three dimensions
ADX Smoothing (14) - Period for ADX calculation
ADX DI Length (14) - Period for directional indicators
Timeframe Recommendations
15m-1H: Good for intraday momentum analysis
4H-Daily: Best for swing trading confluence
Lookback period may need adjustment for different timeframes
Limitations
Lookback period affects signal responsiveness vs reliability tradeoff
Volume data quality varies by exchange
ADX filter may cause missed entries in early trends
Works best on liquid instruments with consistent volume
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Confluence signals do not guarantee profitable trades. Always use proper risk management.
- Made with passion by officialjackofalltrades
Momentum Indicator (MOM)
Hyper-Spectral Neural Flow [Pineify]Hyper-Spectral Neural Flow - Advanced Gaussian Kernel Trend Detection with Spectral Volatility Bands
Transform your chart analysis with a cutting-edge indicator that combines machine learning-inspired smoothing algorithms with stunning visual feedback systems for precise trend identification and market momentum visualization.
Overview
The Hyper-Spectral Neural Flow is a sophisticated technical analysis tool that implements Gaussian Kernel Regression smoothing to estimate the underlying price trend with minimal lag while providing dynamic volatility-based visual feedback through its signature "spectral aura" display. Unlike conventional moving averages or simple trend indicators, this tool adapts its smoothing characteristics based on localized price behavior, creating a neural-inspired pathway that represents the market's true trend direction.
The indicator's core calculation utilizes a 50-bar Gaussian window with customizable bandwidth parameters, allowing traders to balance between responsiveness and smoothness according to their trading style. Surrounding this core trend line are multi-layered spectral bands that expand and contract based on market volatility, measured through a combination of Mean Absolute Error (MAE) and user-defined multipliers.
Key Features
Gaussian Kernel Neural Core - A proprietary smoothing algorithm that calculates localized weighted averages using Gaussian distribution weights, providing superior noise reduction compared to traditional moving averages
Multi-Layered Spectral Aura - Four distinct volatility bands (inner/upper and inner/lower) that create a dynamic visual representation of market volatility and trend strength
Adaptive Gradient Fills - Color-gradient transparency that adjusts based on price position relative to the neural core, creating an energy field effect that visually communicates market momentum
Trend Pulse Markers - Automatic circular markers that appear precisely when the neural flow shifts direction, providing clear entry/exit signals
Dynamic Bar Coloring - Price bars that change color and transparency based on trend direction, enhancing visual pattern recognition
Real-Time Trend Calculation - Optimized 50-bar rolling window ensures responsive performance without excessive computational load
Customizable Alert System - Built-in alert conditions for neural flow direction changes
How It Works
The indicator's calculation engine operates on three distinct levels working in harmony:
Neural Core Calculation - For each bar, the algorithm computes a weighted average of the previous 50 bars using Gaussian kernel functions. The weight assigned to each historical bar follows a bell curve distribution, where more recent bars receive exponentially higher weights. The mathematical formula is: weight = exp(-(distance²) / (2 × bandwidth²)) , where the bandwidth parameter (default: 8.0) controls the smoothness sensitivity.
Volatility Band Derivation - The spectral bands are calculated using the Mean Absolute Error (MAE) between price and the neural core, smoothed over 50 periods and multiplied by a user-defined spectral range multiplier (default: 3.0). This creates four bands: outer upper (+1.0× MAE), inner upper (+0.5× MAE), inner lower (-0.5× MAE), and outer lower (-1.0× MAE).
Trend Direction Logic - The system determines trend direction by comparing the current neural core value to the previous bar's value. When the core rises, the bullish flow color activates; when it declines, the bearish flow color engages.
Trading Ideas and Insights
Trend Following - Use the neural core as your primary trend reference. When price is above the core with the bullish flow color active, look for long entry opportunities on pullbacks to the inner lower spectral band
Trend Reversal Detection - Watch for the trend pulse markers combined with price crossing the neural core. A bullish pulse appearing after a bearish phase, especially near the outer lower band, often signals a trend reversal
Volatility Contraction Plays - When the spectral bands narrow significantly (indicating low volatility), prepare for potential breakout trades as volatility expansion often follows consolidation periods
Support/Resistance Zones - The inner and outer spectral bands often act as dynamic support and resistance levels. Price rejection from these bands, combined with trend pulse markers, provides high-probability trade setups
Momentum Assessment - Strong trends show the spectral bands expanding in the direction of the move while maintaining consistent separation. Converging bands suggest momentum weakening
How Multiple Indicators Work Together
The true power of Hyper-Spectral Neural Flow lies in the synergistic integration of its components:
The Gaussian Kernel Core provides the foundational trend direction, eliminating noise while preserving genuine price movements
The Spectral Bands add context by showing volatility-adjusted price boundaries, preventing premature entries during low-volatility conditions
The Gradient Fill System offers immediate visual feedback about trend strength—wider, more opaque bands indicate stronger trends, while narrow, transparent bands suggest weakness
The Trend Pulse Markers serve as confirmation signals, ensuring traders don't act on minor core fluctuations but only on meaningful directional changes
This multi-component approach means each element validates the others: a trend pulse marker appearing while price is at an outer band and the spectral aura is expanding provides three independent confirmations of a significant trading opportunity .
Unique Aspects
Machine Learning Foundation - Unlike most TradingView indicators based on standard technical analysis formulas, this implements concepts from Gaussian Process Regression, a technique used in advanced machine learning applications
Visual Hierarchy - The layered design (core line → inner bands → outer bands) creates a natural visual priority system that guides the eye from the most important element (trend direction) to secondary context (volatility levels)
Adaptive Smoothing - The Gaussian bandwidth parameter allows traders to morph the indicator between a short-term scalping tool (lower values) and a long-term trend following system (higher values) without changing the underlying algorithm
Neuro-Aesthetic Design - The visual language mimics neural network imagery and spectrographic displays, making complex data intuitively understandable through association with familiar scientific visualization
How to Use
Add the indicator to your chart from the indicators library and overlay it on your price data
Begin with default settings (Neural Bandwidth: 8.0, Spectral Range: 3.0) to observe the indicator's behavior on your timeframe
For trend following: Only take long trades when the neural core is rising and showing the bullish flow color; only take short trades when the core is declining with bearish flow color
For entry timing: Use the inner spectral bands as pullback entry zones during strong trends—the inner lower band for longs, the inner upper band for shorts
For stop placement: Consider placing stops just beyond the outer spectral band opposite your trade direction
For trend confirmation: Wait for trend pulse markers to appear before entering positions, especially when trading counter-trend reversals
For exit signals: Consider partial profits when price reaches the outer band in the direction of your trade, or when a trend pulse marker signals a potential direction change
Customization
Neural Bandwidth (1.0 to 20.0) - Increase for smoother, slower signals suitable for swing trading (try 12.0-15.0 on daily charts); decrease for more responsive signals for scalping or day trading (try 3.0-5.0 on intraday timeframes)
Spectral Range (0.5 to 10.0) - Higher values widen the volatility bands, resulting in fewer signals but potentially larger winning trades; lower values create tighter bands for more frequent signals but increased false signals during volatility spikes
Bullish/Bearish Flow Colors - Customize to match your chart aesthetic or preference; consider using colors that contrast well with your background for optimal visibility
Aura Opacity (0 to 100) - Adjust to control the prominence of the spectral gradient fills; lower values make the chart less cluttered, higher values emphasize the volatility expansion/contraction cycles
Trend Pulse Marks - Disable if you prefer a cleaner visual and plan to rely solely on core direction and band relationships for signals
Conclusion
The Hyper-Spectral Neural Flow represents a paradigm shift in trend indicator design, bridging the gap between rigorous statistical methodology and intuitive visual communication. By implementing Gaussian kernel regression—typically found in advanced machine learning applications—within an accessible TradingView indicator, it offers traders a professional-grade trend detection tool that doesn't sacrifice usability for sophistication.
Whether you're a systematic trader who relies on objective, rule-based signals, a discretionary trader who values contextual market information, or a quantitative analyst seeking robust trend estimation, this indicator provides the flexibility to adapt to your methodology while maintaining mathematical rigor in its core calculations.
The integration of volatility-based spectral bands with the neural core creates a complete trading framework in a single indicator: trend identification, volatility assessment, entry timing guidance, and trend change signals—all unified through a cohesive visual language that makes complex data immediately actionable. By understanding how the Gaussian smoothing adapts to market conditions and how the spectral bands breathe with volatility, traders gain deeper insight into market structure beyond simple price movement.
Add the Hyper-Spectral Neural Flow to your chart analysis toolkit and experience the difference that machine learning-inspired indicators can make in your trading decisions.
CAP - CSI [Auto-MTF]The CAP - CSI is a Digital Signal Processing (DSP) tool based on the principles of Lars von Thienen’s "Dynamic Cycles." While traditional oscillators often fail in trending markets by staying "pinned" at extremes, the CSI uses a recursive dual-thrust processor to isolate the underlying market rhythm, helping traders identify when a cycle is genuinely exhausted.
Core Methodology
This script implements a Cycle Swing Momentum processor. It calculates the difference between short-term and long-term "thrusts" to extract the dominant cycle from price action. Unlike static indicators, it uses Dynamic Percentile Banding to adapt its overbought and oversold levels based on the market's recent "cyclic memory."
Key Features
Pivot Point Detection: Identifies exhaustion when the CSI extends outside its dynamic bands and begins to pivot back toward the mean.
Trend-Aware Coloring: The area fill uses slope-based logic to differentiate between "Rising/Falling" momentum and "Bullish/Bearish" strong zones.
HTF (5x): Built-in logic to define the larger cycle trend. I recommend using a 5x multiplier (e.g., viewing 4H cycles on a 1H chart) to ensure you are trading with the macro flow.
Zero Line Equilibrium: Clear visualization of the cycle's position relative to its center-point to determine the current market regime.
The "Trending" Challenge
A common pitfall with DSP-based cycle tools is that they can generate "phantom" signals during powerful, linear trending conditions. This script is my attempt to solve that by integrating HTF confluence and slope-based filtering. It is specifically optimized for:
Futures: ES, NQ, RTY, and GC.
US Equities: (NVDA, TSLA, etc.).
Additional tip, search for Strong relative strength Symbols, I've created this script : CAP - Mansfield Relative Strength, but there are many there "Mansfield Relative Strength" indicators available.
Why I am sharing this
This is an ongoing project. I am releasing this to the public to connect with other traders interested in Lars von Thienen’s work or John Ehlers’ DSP techniques. My goal is to collaborate with the community to refine the processor further and build a consistent, profitable system that can distinguish between a cycle turn and a trend continuation.
Nexus Momentum Flow [JOAT]
Nexus Momentum Flow - ADX-Based Trend Strength Analysis
Introduction and Purpose
Nexus Momentum Flow is an open-source oscillator indicator that combines the ADX (Average Directional Index) with directional movement indicators (+DI/-DI) to create a comprehensive trend strength and direction analysis tool. The core problem this indicator solves is that ADX alone tells you trend strength but not direction, while +DI/-DI alone tells you direction but not strength. Traders need both pieces of information together.
This indicator addresses that by combining ADX strength classification with directional bias into a single confluence score, making it easy to identify when strong trends exist and which direction they favor.
Why These Components Work Together
1. ADX (Average Directional Index) - Measures trend strength regardless of direction. Values above 25 indicate trending; below 20 indicate ranging.
2. +DI (Positive Directional Indicator) - Measures upward price movement strength.
3. -DI (Negative Directional Indicator) - Measures downward price movement strength.
4. Confluence Score - Combines ADX strength with DI bias to create a single actionable metric.
The combination works because:
ADX filters out ranging markets where DI crossovers produce whipsaws
DI relationship provides direction when ADX confirms trend
Confluence score simplifies the analysis into one number
How the Calculation Works
float directionBias = diPlus - diMinus
float confluenceScore = (adx / 100) * directionBias
The confluence score is positive when +DI > -DI (bullish) and negative when -DI > +DI (bearish), with magnitude scaled by ADX strength.
Trend State Classification
EXTREME - ADX > 50 (very strong trend)
STRONG - ADX 35-50 (strong trend)
TRENDING - ADX 25-35 (moderate trend)
RANGING - ADX < 25 (no clear trend)
Dashboard Information
Status - Current trend state (EXTREME/STRONG/TRENDING/RANGING)
Direction - BULLISH or BEARISH based on DI relationship
ADX - Current ADX value
DI Bias - Difference between +DI and -DI
Confluence - Combined score with directional context
How to Use This Indicator
For Trend Following:
1. Wait for ADX to show TRENDING or higher
2. Check direction matches your trade bias
3. Enter on pullbacks when confluence remains positive/negative
4. Exit when ADX drops to RANGING
For Avoiding Whipsaws:
1. Do not trade DI crossovers when ADX shows RANGING
2. Only trust directional signals when ADX confirms trend
3. Use RANGING periods for mean-reversion strategies instead
For Trend Exhaustion:
1. Watch for EXTREME ADX readings
2. Extreme trends often precede reversals
3. Consider taking profits when ADX reaches extreme levels
Input Parameters
ADX Length (14) - Period for ADX calculation
DI Length (14) - Period for directional indicators
ADX Smoothing (14) - Smoothing period for ADX
Trend Threshold (25) - ADX level for trend confirmation
Strong Threshold (35) - ADX level for strong trend
Extreme Threshold (50) - ADX level for extreme trend
Timeframe Recommendations
Daily/4H: Best for swing trading trend analysis
1H: Good for intraday trend following
15m: More signals but requires faster reaction
Limitations
ADX is a lagging indicator - trends are confirmed after they start
DI crossovers can whipsaw even with ADX filter
Works best in markets that trend clearly
May miss early trend entries due to confirmation requirement
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Trend analysis does not guarantee profitable trades. Always use proper risk management.
- Made with passion by officialjackofalltrades
CAP - cRSI cyclic smoothed [MTF]Introduction This indicator is a Multi-Timeframe (MTF) adaptation of the Cyclic Smoothed RSI (cRSI), based on the foundational work of Lars von Thienen and his book "Decoding The Hidden Market Rhythm". It allows traders to visualize cyclic momentum and identify potential turning points by adapting standard RSI calculations to a dominant market cycle.
How It Works Unlike a standard RSI which uses fixed periods, the cRSI uses "cyclic memory" to adjust its sensitivity:
Cyclic Smoothing: It smooths the RSI based on a user-defined Dominant Cycle Length (default: 20 bars).
Dynamic Bands: Instead of static overbought/oversold levels (like 70/30), this script calculates dynamic upper and lower bands that adapt to recent volatility and cyclic distribution.
MTF Capability: You can view the cRSI of a higher timeframe (e.g., Daily) while looking at a lower timeframe chart (e.g., H1) to align your entries with the broader trend.
My Trading Strategy & Context I am sharing this to start a conversation on how to optimize cyclic tools for Equity markets. My current workflow is:
- Timeframe: I analyze Daily candles for the main trend but look for entries on Intraday (H1).
- Confluence: I combine this cRSI with the CSP - CSI (Cyclic Swing Indicator).
- Momentum & Trend: I use Williams %R to read immediate momentum, and check trend direction using EMA9 and SMA30.
- Entries: On the H1 chart, I look for VWAP interactions to trigger the entry once the Daily cRSI confirms the cycle low/high.
Let's Collaborate I am looking for constructive feedback to refine this strategy. Please leave a comment below regarding:
- Settings: Have you found a Dominant Cycle Length other than 20 that works better for Crypto or FX volatility?
- Filtering: What filters do you use to avoid "catching a falling knife" when the bands widen significantly?
- Backtesting: If you have visual backtest results using this with VWAP, please share your findings.
Note: This script is for educational purposes and collaborative research. Please backtest all strategies before live trading.
#Cycles, #RSI, #Momentum, #Lars von Thienen, #MTF
CAP - CSICSI is a Digital Signal Processing (DSP) tool based on the principles of Lars von Thienen’s "Dynamic Cycles." Unlike traditional momentum oscillators, the CSI uses a recursive dual-thrust processor to isolate cyclic price action, helping traders identify hidden rhythms in the market rather than just static overbought or oversold levels.
How to Read the Indicator
This script focuses on four primary technical components:
Dynamic Band Pivots: The indicator calculates a "cyclic memory" (default 34 periods) to create high and low bands. When the CSI moves outside these bands and begins to pivot, it signals a potential cycle exhaustion point.
Momentum Slope: The color-coded area fill identifies the direction of the cycle's slope. A change in slope is often the first warning of a cycle peak or trough.
The Zero Line: The zero line acts as the "equilibrium" point. Position relative to zero helps define whether the current cycle is in a bullish or bearish regime.
Multi-Timeframe Analysis (HTF): The script includes an HTF filter (suggested 5x the chart timeframe) to ensure you are trading in the direction of the dominant macro cycle.
Performance & Testing: The "Trending" Challenge
This indicator has been developed and tested primarily on Futures (ES, NQ, RTY) and US Equities.
Important Note on False Signals: While the CSI "nails" turning points during standard cyclic/swing conditions, users should be aware of "phantom" cycles or false signals during strong trending conditions. In a powerful trend, the indicator may signal a cycle peak while price continues to move linearly, leading to premature exhaustion signals. Filtering these "trend-drifts" is the current focus of development.
Community & Collaboration
This script is an ongoing project. I am making it public to find like-minded traders interested in Lars von Thienen’s work to:
Refine the processor logic for better signal-to-noise ratios during impulsive trends.
Discuss the best "Trend Shields" (Volume, HTF, or Volatility filters) to stay in winners longer.
Share specific settings for different asset classes in the Futures and Equity markets.
Aura Vortex Oscillator [Pineify]Aura Vortex Oscillator – Adaptive Momentum with Visual Depth
The Aura Vortex Oscillator is a sophisticated momentum indicator that transforms raw price action into a visually immersive analytical tool. By combining Sigmoid-based normalization through ArcTan mathematics with adaptive momentum calculations, this oscillator delivers clear, bounded signals while filtering market noise. The distinctive "Vortex Mesh" visualization creates a layered depth effect that reveals trend consensus across multiple smoothing periods.
Key Features
Sigmoid normalization using ArcTan function for bounded output (-100 to +100)
Adaptive momentum calculation with standard deviation normalization
Multi-layered "Vortex Mesh" creating visual depth and trend confluence signals
Dynamic color-coded visualization for instant trend recognition
Zero-line crossover signals with plotted reversal markers
Extreme zone highlighting for overbought/oversold conditions
How It Works
The core calculation begins with computing the Z-score of price relative to its simple moving average, normalized by standard deviation. This adaptive component automatically adjusts sensitivity based on recent volatility. The normalized value then passes through an ArcTan function, which acts as a sigmoid transformation, "squarifying" the output to emphasize extreme conditions while keeping values bounded.
os = atan(z × intensity) × 63.66
The multiplier 63.66 scales the output to approximately -100 to +100, providing intuitive overbought/oversold levels at ±50.
Trading Ideas and Insights
Use zero-line crossovers as primary trend change signals – bullish when crossing above, bearish when crossing below
Monitor the Vortex Mesh thickness – a thick, solid aura indicates strong trend consensus across timeframes
Watch for background highlighting at ±50 levels to identify statistical extremes for potential reversals
Combine with price action analysis when the oscillator reaches boundary zones
How Multiple Indicators Work Together
The Aura Vortex Oscillator integrates three technical concepts into one cohesive system. The adaptive momentum calculation provides the raw signal, responding dynamically to market volatility. The ArcTan normalization bounds this signal and emphasizes extremes without clipping. Finally, the Vortex Mesh applies multiple EMA smoothing layers to the base signal, creating visual depth that shows whether different momentum speeds agree on trend direction.
Unique Aspects
Unlike traditional oscillators that show a single line, this indicator visualizes momentum as a "thermal field" through its layered mesh system. The mesh expands and contracts based on trend agreement – a thick, cohesive glow suggests high-confluence momentum, while a thin, scattered appearance warns of choppy, range-bound conditions.
How to Use
Add the indicator to your chart as a separate pane
Look for color transitions (green to red or vice versa) at zero-line crosses for trend reversals
Use the ±50 boundary zones and background highlighting to identify overextended conditions
Enable the Vortex Mesh to visualize trend strength and momentum consensus
Customization
Vortex Sensitivity (20) : Base period for momentum calculation – lower values increase responsiveness
Vortex Intensity (2.0) : Amplifies signal squarification – higher values push readings toward extremes faster
Aura Smoothing (8) : EMA period for the main signal line – higher values reduce noise
Enable Vortex Mesh : Toggle the layered visualization effect
Color Settings : Customize bullish, bearish, and neutral colors
Conclusion
The Aura Vortex Oscillator offers traders a unique perspective on momentum analysis by combining mathematical rigor with innovative visualization. Its adaptive normalization ensures reliable signals across different market conditions, while the Vortex Mesh provides instant visual feedback on trend quality. Whether you are identifying trend reversals, measuring momentum strength, or seeking confluence confirmation, this oscillator delivers actionable insights in an intuitive format.
Hull DMI - MattesHull DMI - Mattes
A Directional Movement Index enhanced with Hull Moving Average smoothing for refined trend detection.
This indicator reimagines the classic Directional Movement Index (DMI) by incorporating Hull Moving Average (HMA) smoothing on high and low prices. It calculates the +DI and -DI components based on changes in these hulled values, then derives the ADX for trend strength. The core plot displays the difference between +DI and -DI, colored to indicate bullish (blue) or bearish (purple) dominance when ADX is rising. Additionally, it overlays colored candles on the price chart to visually represent the prevailing trend direction.
Key Features:
Hull-Smoothed Inputs: Applies HMA to highs and lows before computing directional changes, reducing noise and lag compared to standard DMI.
Customizable Lengths: Adjustable periods for HMA, DI, and ADX smoothing to suit various timeframes and assets.
Trend Visualization: Plots DI difference with dynamic coloring and overlays trend-colored candles for at-a-glance analysis.
Alert Conditions: Built-in alerts for long (bullish) and short (bearish) signals when conditions shift.
How It Differs from Standard DMI/ADX:
Unlike the traditional DMI, which uses raw price changes and true range, this version employs Hull Moving Averages on highs and lows for smoother, more responsive directional calculations. This minimizes whipsaws in choppy markets while preserving sensitivity to genuine trends. The ADX is integrated to filter signals, ensuring color changes and alerts only occur during strengthening trends, setting it apart from basic oscillator-based indicators. Why It's Useful:
Enhanced Trend Identification: The HMA smoothing provides clearer signals in volatile environments, helping traders spot emerging trends earlier.
Visual Clarity: Colored DI plot and candle overlays make it easy to interpret market bias without cluttering the chart.
Versatility: Suitable for stocks, forex, crypto, and more; excels in trend-following strategies or as a filter for other systems.
Risk Management Aid: By focusing on ADX-confirmed moves, it reduces false signals, potentially improving win rates in systematic trading.
This Hull DMI variant offers several practical advantages that can directly improve trading decisions and performance:
Reduced Lag with Smoother Signals: By applying Hull Moving Average smoothing to highs and lows, the indicator responds faster to genuine trend changes than the standard DMI while filtering out much of the noise that causes false signals in ranging or choppy markets. Traders get earlier entries into trending moves without excessive whipsaws.
Built-in Trend Strength Filter: The optional ADX confirmation (enabled by default) ensures bullish signals and blue coloring only activate when trend strength is increasing (ADX rising). This helps traders avoid entering long positions during weakening or sideways trends, focusing capital on higher-probability setups.
Clear Visual Bias at a Glance: The single oscillator line (+DI – -DI) centered on zero, combined with dynamic blue/purple coloring and full candle overlay on the price chart, instantly shows the dominant trend direction. No need to interpret multiple lines—traders can quickly assess market bias across multiple charts or timeframes.
Versatile Across Markets and Styles: Works effectively on stocks, forex, futures, and cryptocurrencies. Trend-following traders can use it standalone for entries/exits, swing traders can use it for bias confirmation, and scalpers/day traders benefit on lower timeframes due to the reduced lag.
Improved Risk Management: By prioritizing ADX-confirmed directional moves, the indicator naturally filters low-conviction setups. This can lead to higher win rates and better risk-reward ratios when used systematically, especially when combined with proper stop-loss placement below/above recent swings.
Easy Integration: Built-in alert conditions and simple long/short logic make it straightforward to incorporate into automated strategies, watchlists, or as a confirming filter alongside other indicators (e.g., moving averages, RSI, volume profile).
Customizable Sensitivity: Separate inputs for Hull length, DI period, and ADX smoothing allow traders to optimize the indicator for specific assets, volatility regimes, or personal trading horizons—making it adaptable rather than one-size-fits-all.
Signals & Interpretation
The oscillator plots the difference between +DI and -DI (positive = bullish dominance, negative = bearish).
Bullish Signal (Long): +DI crosses above -DI, and (if ADX confirmation enabled) ADX is rising — triggers blue coloring, candle overlay, and long alert.
Bearish Signal (Short): -DI crosses above +DI — triggers purple coloring, candle overlay, and short alert.
Zero line acts as neutrality; crossings indicate potential trend shifts.
Best used in trending markets; ADX rising filter helps avoid whipsaws.
// Example Usage in Strategy
strategy("Hull DMI Strategy Example", overlay=true)
if L
strategy.entry("Long", strategy.long)
if S
strategy.entry("Short", strategy.short)
Great Inventions Require great care
Disclaimer: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Past performance is not indicative of future results. Always backtest thoroughly on your specific assets and timeframes, and consult a qualified financial advisor before making trading decisions. The author assumes no responsibility for any losses incurred from its use.
JRockets MACDThis is my favorite indicator, that I use as one of my conformations before entering a trade in the 15M timeframe This MACD is tailor made by me to work efficient, consistent, and effectively. I back tested tons of times, it helps if you're entering too early, late and even get faked out. The MACD is by far my favorite and one and only indicator, and here's why. The MACD contains 2 EMA lines where it gives me a signal on when to buy or sell. If the Blue line crosses the red line on the bottom of the indicator its giving buy signals as long as the blue line stays on top, and when the red line crosses the blue line on top of the indicator its giving sell signals as long as the redline stay on top. Be sure to pay attention to the candle stick patterns as well and has to be around key levels. What makes this a better signal as well, the MACD has a built-in momentum hologram, some see it as overbought/undersold, or volume indicator. By combining the momentum hologram with your buy/sell ema will prevent you from entering a trade in the wrong area. The momentum hologram is almost self-explanatory, when there is buying pressure, the hologram turns blue, the darker the blue the stronger the momentum as well as the length of the hologram, once is start losing momentum it starts to turn to a lighter blue. Eventually a light red to a solid red showing momentum for a strong sell, this works vice versa. Combing all that at once and built instincts it becomes very effective. You can also use the EMA signals as divergence, but I don't really trade with divergence but could possibly give you conformation. Using the MACD is like having 3-4 indicators in one with all of them working fluent together. I have the MACD locked on the 15M timeframe because that's where it works more accurately. You can make the EMA lines a bit thicker to be easier to see. I would change the MACD visible for the 15M timeframe only or 1M to 1H timeframe. I hope this indicator helps you, as it did for me. You can simply click add on your charts on the top left to get this free indicator. Peace out and enjoy! Be sure to share, this indicator with your friends as it may help someone out.
Eclipse Multi-Oscillator [JOAT]Eclipse Multi-Oscillator - Unified Momentum Confluence System
Introduction and Purpose
Eclipse Multi-Oscillator is an open-source indicator that combines four classic oscillators (RSI, Stochastic, CCI, and Williams %R) into a single unified view with confluence detection. The core problem this indicator solves is oscillator disagreement: traders often see RSI oversold while Stochastic is neutral, or CCI overbought while Williams %R is mid-range. This creates confusion about the true momentum state.
This indicator addresses that by displaying all four oscillators together and counting how many agree on overbought or oversold conditions, providing a clear confluence score that cuts through the noise.
Why These Four Oscillators Work Together
Each oscillator measures momentum differently, and their combination provides a more complete picture:
1. RSI (Relative Strength Index) - Measures the magnitude of recent price changes. Best at identifying momentum exhaustion.
2. Stochastic - Compares closing price to the high-low range. Best at identifying where price is within its recent range.
3. CCI (Commodity Channel Index) - Measures price deviation from statistical mean. Best at identifying unusual price movements.
4. Williams %R - Similar to Stochastic but inverted. Provides confirmation of Stochastic readings.
When 3 or more of these oscillators agree on overbought or oversold, the signal is significantly more reliable than any single oscillator alone.
How Confluence Scoring Works
The indicator counts how many oscillators are in extreme territory:
int obCount = 0
if rsi > rsiOB
obCount += 1
if stochK > stochOB
obCount += 1
if cci > cciOB
obCount += 1
if willRScaled > stochOB
obCount += 1
bool strongOverbought = obCount >= 3
bool strongOversold = osCount >= 3
The confluence score ranges from -4 (all oversold) to +4 (all overbought), with 0 being neutral.
Signal Types
Strong Oversold - 3+ oscillators below oversold threshold (potential bounce)
Strong Overbought - 3+ oscillators above overbought threshold (potential pullback)
OB/OS Exit - RSI leaving extreme zone with Stochastic confirmation (potential reversal)
Divergence - Price makes new high/low while RSI does not (potential reversal warning)
Dashboard Information
RSI/Stoch K/CCI/Will %R - Current values with zone status (OB/OS/MID)
Confluence - Overall bias (STRONG OS, STRONG OB, Lean Bull/Bear, Neutral)
OB Count - How many oscillators are overbought (0-4)
OS Count - How many oscillators are oversold (0-4)
How to Use This Indicator
For Reversal Trading:
1. Wait for Strong Oversold (3+ oscillators agree)
2. Look for bullish candlestick pattern or support level
3. Enter long with stop below recent low
4. Take profit when confluence returns to neutral or overbought
For Trend Confirmation:
1. Check confluence direction matches your trade bias
2. Avoid longs when confluence is strongly overbought
3. Avoid shorts when confluence is strongly oversold
For Divergence Trading:
1. Watch for "D" labels indicating RSI divergence
2. Bullish divergence at support = potential long
3. Bearish divergence at resistance = potential short
Input Parameters
RSI Length (14) - Period for RSI calculation
Stochastic K/D Length (14/3) - Periods for Stochastic
CCI Length (20) - Period for CCI
Williams %R Length (14) - Period for Williams %R
OB/OS Thresholds - Customizable levels for each oscillator
Timeframe Recommendations
15m-1H: Good for intraday momentum analysis
4H-Daily: Best for swing trading confluence
Very short timeframes may produce noisy signals
Limitations
All oscillators can remain in extreme territory during strong trends
Confluence does not predict direction, only identifies extremes
Divergence detection is simplified and may miss some patterns
Works best in ranging or moderately trending markets
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. The source code is fully visible and can be studied.
This indicator does not constitute financial advice. Oscillator confluence does not guarantee reversals. Past performance does not guarantee future results. Always use proper risk management.
- Made with passion by officialjackofalltrades
ATR Momentum Status v.2ATR Momentum Status Version 2 locked ATR Momentum Status (Bar-Close Confirmed)
In previous versions, the ATR momentum status could change intrabar while the candle was still forming. In v.2, the ATR momentum is calculated only after the candle closed and is locked until the next candle closes.
Why this matters:
Prevents repainting or intrabar flipping
Ensures what you see on the dashboard is fully confirmed
Makes replay mode and backtesting reliable
How Traders Use It:
This tool is best used as a confirmation layer, not a standalone signal. Common use cases:
- Confirming FVG / CE acceptance
- Validating displacement candles
- Filtering trades to only Strong / Expansion conditions
- Avoiding entries during weak or declining volatility
Key Concept:
Price can move without momentum, but momentum confirms intent. With the ATR status locked after candle close, v.2 ensures every ATR reading represents real, confirmed market participation, making it safer for execution-based strategies.
ATR Momentum StatusThis indicator measures whether volatility (ATR) is increasing or decreasing, and classifies momentum strength into four clear states:
- WEAK
- STRONG
- EXPANSION
- DECREASING
It helps traders avoid fake moves and only trade when real participation enters the market, especially when used together with FVG CE Acceptance (SMC).
ATR Momentum States (Very Important)
Status Meaning Market Condition
WEAK Small ATR increase Low participation
STRONG Healthy ATR increase Real buyers/sellers entering
EXPANSION Large ATR spike Aggressive momentum / breakout
DECREASING ATR falling Momentum dying / trap risk
What This Indicator Is NOT
❌ Not a buy/sell signal
❌ Not direction bias
❌ Not entry by itself
👉 It is a trade quality filter
✅ Best Use Case (SMC / FVG Traders)
This indicator shines when combined with:
- FVG
- CE (Consequent Encroachment)
- Liquidity Sweep
- Acceptance Candle
Important Risk Filter (Golden Rule):
ATR Status Trade Quality
EXPANSION + Acceptance ⭐⭐⭐⭐⭐ (Best)
STRONG + Acceptance ⭐⭐⭐⭐
WEAK + Acceptance ❌ Avoid
DECREASING ❌ No Trade
Why This Works (Conceptually):
- FVG CE acceptance = price is accepted
- ATR expansion = participation is real
- Together = institutional momentum, not retail noise
Apex Adaptive TrailApex Adaptive Trail: Adaptive Volatility Trend System
This custom trend-following indicator improves on standard SuperTrend implementations by addressing two key weaknesses: excessive whipsaws during high volatility and false signals in ranging markets.
Core Logic:
- Synthetic Heikin Ashi values are calculated internally (without changing chart candles) to provide smoother source data for trend detection.
- ATR-based trailing stop with adaptive multiplier: dynamically adjusts between 0.8x and 1.5x the base factor based on current volatility (ATR / 50-period SMA of ATR). Widens in volatile conditions, tightens in quiet markets.
- Weighted Confluence Score (0-100%): Combines four independent filters, each contributing 25%:
• Price position relative to 21-period EMA (trend alignment)
• ADX > 20 (momentum strength)
• Choppiness Index < 60 (trending vs ranging detection)
• Alignment with Daily EMA(50) trend direction
Signals are only generated when price crosses the adaptive trail AND the confluence score exceeds 75% (standard) or 90% (MAX 🔥 ultra-strong). This combination significantly reduces low-quality entries compared to traditional SuperTrend crossovers.
Key Features:
- Dynamic confidence cloud (opacity based on score)
- Real-time dashboard showing volatility state, active filters, trend bias, and estimated historical win rate
- Optional dynamic/fixed profit targets
- Fully customizable filters and adaptive behavior
Usage: Best on 15m to 4H timeframes for trend-following strategies (Crypto, Forex, Indices). Enter on APEX signals, use trail as stop-loss, TP lines for partial exits.
This script integrates established concepts into a unique adaptive framework with volatility-responsive risk management and multi-filter validation.
Disclaimer: For educational and analysis purposes only. Past performance is not indicative of future results. Always use proper risk management.
"This script combines established indicators (ATR trailing, ADX, Choppiness Index, EMA, MTF) into a unique adaptive system with dynamic volatility adjustment and weighted confluence scoring – features not found together in standard SuperTrend variations."
Weekly RSI + EMA Bias (FREE)Weekly RSI + EMA Bias — FREE
This indicator provides a clean, non-repainting weekly directional bias using:
• EMA trend filter
• RSI strength confirmation
• One controlled flip per week
• IST-based weekly entry & exit logic
• Holiday-safe exit handling (no missed exits)
WHAT THIS IS:
• A bias / confirmation tool
• Designed for positional & weekly traders
• Works on all intraday and higher timeframes
WHAT THIS IS NOT:
• Not a strategy
• No backtesting or performance metrics
• No buy/sell guarantees
METRICS TABLE:
The weekly metrics table is intentionally locked (🔒).
A fully unlocked metrics + strategy version is available separately.
Best used as a decision-support tool alongside your own execution rules.
Area per IntervalDescription
This indicator shades the area between 2 curves, an SMA and the nearest open/close to the SMA, and their intersections. The black labels with leader lines describe the calculated area of each shaded section, and the total area accumulated per total number of time intervals for that area. The additional value visible in the status line that is not displayed on the chart is, at any bar index (time interval), the current total area of the incomplete shaded area.
Usage
- The default color of the shaded areas denote the type of momentum being built before the cross. Green for bullish, red for bearish.
- The area value of the shaded areas can be used as a capacity indicator, denoting imbalances between the previous and next crosses.
- The area per interval value of the shaded areas can be used as a momentum indicator, denoting which area is carrying more price movement before the price crosses.
- Similar to indicators that use dynamic price differences between OHLC data, moving averages, etc, confluence with other momentum indicators that use different elements creates additional confirmation.
Conclusion
Simple momentum indicator. Comment for possible updates that can be made.
CSA Infinity BridgeCSA Infinity Bridge - Major Update: Full Transparency + Stricter Consensus
Update Notes (December 29, 2025):
- Big improvements based on real-user feedback!
- This version eliminates the confusion that sometimes occurred when the dashboard showed near-unanimous agreement (like 13/14) but one indicator was silently disagreeing.
Key Changes:
- All 14 indicators are now fully visible in the dashboard. Added a dedicated "TTM" column for the standalone TTM Wave (previously hidden). No more guessing which indicator is the holdout—you’ll see every single Bull/Bear vote clearly.
- Stricter consensus thresholds for higher-conviction signals:
- Strong Bullish/Bearish now requires 12+ out of 14 (previously 11+)
- Trending ↑/↓ requires 9+ out of 14 (previously 8+)
- This reduces whipsaws and makes LONG/SHORT signals more reliable, especially for novice traders.
Keeps the popular OBV replacement (volume confirmation instead of basic candle color).
- Perfect for anyone who wants a clean, trustworthy consensus dashboard without hidden surprises. Ideal for futures, stocks, crypto—any market with volume.
- Test it, compare it to the previous version, and let me know what you think!
VAM Pro (Multi-Model) [Final]Volatility Adjusted Momentum (VAM) Pro+ is a professional quantitative tool designed to measure trend strength by normalizing momentum against market volatility. Standard momentum indicators often fail during high-volatility periods because they treat every price change the same regardless of market noise. This indicator solves that problem by scaling price changes based on their statistical significance using Z-Score logic. This Pro+ version is specifically optimized for Scalping and Intraday Trading by introducing advanced volatility estimators and mathematical horizon adjustments that superior to classic standard deviation models.
The indicator allows you to choose the most suitable volatility model for your specific asset class. The Parkinson Volatility model is highly recommended for Crypto markets because it uses the High-Low range instead of just close prices, effectively capturing intraday wicks and liquidation spikes that standard deviation often misses. For Equities and Forex, the Garman-Klass model is the most efficient choice as it utilizes the full Open-High-Low-Close data set to account for opening gaps and professional trading ranges.
The mathematical core of the script features a strict Horizon Adjustment based on the Square Root of Time rule. This aligns the one-bar volatility risk with your chosen momentum lookback period to ensure a mathematically consistent calculation. By default, the script uses Logarithmic Returns to maintain scale invariance, which is critical for assets with high percentage swings like Cryptocurrencies. To trade with VAM Pro, look for the histogram color and its relation to the Zero line. A Green histogram indicates positive volatility-adjusted momentum where bulls are dominant, while a Red histogram shows bearish dominance. Values reaching the +2.0 or -2.0 Sigma levels represent statistically extreme moves that often act as exhaustion points or precede strong mean-reversion opportunities. When the histogram crosses the yellow signal line, it provides an early warning that the current momentum is fading.
Investment involves risk. The Volatility Adjusted Momentum (VAM) Pro+ is an analytical tool and does not constitute financial advice, investment recommendations, or an offer to buy or sell any security. Past performance is not indicative of future results. Market conditions can change rapidly, and technical indicators may produce false signals. Always perform your own due diligence, use proper risk management, and consult with a certified financial advisor before making any trading decisions. The author assumes no responsibility for any financial losses incurred through the use of this script.
RSI & MACD SuiteRSI & MACD Suite
A professional combination of two essential momentum indicators - Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) - designed to provide comprehensive market analysis in a single, clean interface.
OVERVIEW
This indicator combines the power of RSI and MACD to help traders identify potential overbought/oversold conditions, momentum shifts, and trend changes. Both indicators are displayed with enhanced visual elements including gradient fills, customizable bands, and clear signal lines.
FEATURES
RSI (Relative Strength Index)
- Customizable Period: Adjustable RSI length (default: 14)
- Visual Zones: Overbought zone (above 70) with green gradient, Oversold zone (below 30) with red gradient, Background fill between bands for easy reference
- Key Levels: Clear horizontal lines at 30, 50, and 70
- Flexible Source: Choose any price source (close, open, high, low, etc.)
MACD (Moving Average Convergence Divergence)
- Customizable Parameters: Fast Length (default: 12), Slow Length (default: 26), Signal Length (default: 9)
- MA Type Selection: Choose between EMA or SMA for both oscillator and signal line
- Color-Coded Histogram: Green for bullish momentum, Red for bearish momentum
- Clear Signal Lines: Blue MACD line and orange Signal line for easy identification
ALERT CONDITIONS
The indicator includes 7 built-in alert conditions:
RSI Alerts:
1. RSI Overbought - Triggers when RSI crosses above 70
2. RSI Oversold - Triggers when RSI crosses below 30
3. RSI Midline Cross - Triggers when RSI crosses the 50 level
MACD Alerts:
4. MACD Bullish Cross - Triggers when MACD line crosses above Signal line
5. MACD Bearish Cross - Triggers when MACD line crosses below Signal line
6. MACD Histogram Bullish - Triggers when histogram crosses above zero
7. MACD Histogram Bearish - Triggers when histogram crosses below zero
CUSTOMIZATION
Clean Organization
- Inputs Tab: Separate groups for RSI and MACD settings
- Style Tab: All visual elements clearly labeled with "RSI -" or "MACD -" prefixes for easy identification
- Full Control: Customize colors, line widths, and visibility of all elements
Visual Clarity
- Professional color scheme optimized for both light and dark themes
- Gradient fills for intuitive zone identification
- Clear separation between RSI and MACD elements
SETTINGS
RSI Settings
- Length: Lookback period for RSI calculation (default: 14)
- Source: Price data to use for calculation (default: close)
MACD Settings
- Source: Price data to use for calculation (default: close)
- Fast Length: Period for fast moving average (default: 12)
- Slow Length: Period for slow moving average (default: 26)
- Signal Length: Period for signal line (default: 9)
- Oscillator MA Type: EMA or SMA for MACD calculation
- Signal MA Type: EMA or SMA for signal line
TECHNICAL DETAILS
- Pine Script Version: v6
- Indicator Type: Oscillator (subplot)
- Calculation Method: RSI uses Relative Strength Index with RMA smoothing, MACD uses Fast MA minus Slow MA with configurable MA types
- Input Validation: Built-in checks to ensure valid parameter combinations
NOTES
- Default settings are industry-standard values (RSI: 14, MACD: 12/26/9)
- All visual elements can be hidden/shown individually in the Style tab
- Alerts must be manually created by users through TradingView's alert system
- This indicator does not repaint - all signals are based on closed candles
WHO SHOULD USE THIS
- Day traders looking for momentum signals
- Swing traders identifying trend changes
- Technical analysts performing multi-indicator analysis
- Traders who want a clean, all-in-one momentum solution
DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Always perform your own analysis and risk assessment before making trading decisions.
Version: 1.0
Author: aaboomar
License: Mozilla Public License 2.0
Next Candle PredictorAdvanced TradingView Indicator for Precise Buy and Sell Signals
Overview:
The Predicta Futures - Next Candle Predictor is a cutting-edge TradingView indicator designed to forecast the next candle's direction in futures and cryptocurrency markets. Leveraging a multi-indicator confluence strategy, this tool provides traders with actionable long and short prediction percentages, enhanced by dynamic ADX-based thresholds and visual projection candles. Ideal for scalping, day trading, or swing trading on platforms like MEXC or Binance futures, it combines Supertrend, MACD, RSI, Stochastic, ADX, and volume analysis to deliver high-probability buy and sell signals while minimizing false positives.
Key Features:
• Multi-Indicator Confluence Scoring:
Integrates Supertrend for trend direction, EMAs (8, 21, 50) for alignment, MACD for momentum crossovers, RSI for overbought/oversold conditions, Stochastic for divergence detection, ADX for trend strength, and volume ratios for confirmation. A customizable confluence score (0-6) ensures signals meet user-defined criteria, reducing whipsaws in volatile markets.
• Dynamic Prediction Thresholds:
ADX-driven adjustments lower the required prediction percentage (e.g., 60% in strong trends) for "PERFECT TIME" entries, adapting to market conditions like ranging or trending phases.
• Visual Analysis Table:
A sleek, color-coded dashboard displays progress bars for each indicator, prediction percentages, and status (e.g., "PERFECT TIME" or "WAIT"). Supports long and short analyses with intuitive ASCII bars for quick scans.
• Projection Candles:
Simulates potential next-candle outcomes with volatility-scaled (via Bollinger Bands width) green long and red short candles, aiding in visualizing price targets.
• Buy/Sell Signals and Alerts:
Generates labeled "BUY" and "SELL" arrows on EMA crossovers within confirmed trends, with separate alerts for basic signals and high-confluence "PERFECT TIME" opportunities.
• Customizable Inputs:
Adjust ATR periods, Supertrend factors, minimum confluence scores, and volume ratios to tailor the indicator for stocks, forex, or crypto perpetual futures.
How It Works:
This TradingView script calculates long and short scores using weighted contributions from key indicators, normalizing them into prediction percentages. A confluence check—factoring trend, EMA alignment, MACD, Stochastic, volume, and ADX—triggers "PERFECT TIME" only when conditions align robustly. For example:
• In a downtrend (Supertrend red), with bearish MACD and Stochastic, and sufficient volume, the indicator highlights short opportunities.
• Dynamic thresholds ensure aggressive entries in strong trends (ADX >25) and conservative ones in weak trends.
• Backtested for reliability, it excels in identifying reversals and continuations, making it a must-have for traders seeking an edge in futures trading strategies.
Usage Instructions:
1. Add the indicator to your TradingView chart. (Search: Next Candle Predictor)
2. Customize settings via the inputs panel (e.g., set minConfluence to 5 for stricter signals).
3. Monitor the analysis table for predictions and confluence scores.
4. Act on "BUY/SELL" labels or "PERFECT TIME" alerts, combining with your risk management.
5. Enable projection candles for visual forecasting of the next bar.
Compatible with all timeframes, from 1-minute scalping to daily swings. Note: This is not financial advice; always verify signals with additional analysis.
Join thousands of traders enhancing their strategies—add it to your charts today and elevate your trading performance!
Please rate and review if it boosts your trades!
Thank you!
Next Candle PredictorAdvanced TradingView Indicator for Precise Buy and Sell Signals
Overview:
The Predicta Futures - Next Candle Predictor is a cutting-edge TradingView indicator designed to forecast the next candle's direction in futures and cryptocurrency markets. Leveraging a multi-indicator confluence strategy, this tool provides traders with actionable long and short prediction percentages, enhanced by dynamic ADX-based thresholds and visual projection candles. Ideal for scalping, day trading, or swing trading on platforms like MEXC or Binance futures, it combines Supertrend, MACD, RSI, Stochastic, ADX, and volume analysis to deliver high-probability buy and sell signals while minimizing false positives.
Key Features:
* Multi-Indicator Confluence Scoring: Integrates Supertrend for trend direction, EMAs (8, 21, 50) for alignment, MACD for momentum crossovers, RSI for overbought/oversold conditions, Stochastic for divergence detection, ADX for trend strength, and volume ratios for confirmation. A customizable confluence score (0-6) ensures signals meet user-defined criteria, reducing whipsaws in volatile markets.
* Dynamic Prediction Thresholds: ADX-driven adjustments lower the required prediction percentage (e.g., 60% in strong trends) for "PERFECT TIME" entries, adapting to market conditions like ranging or trending phases.
* Visual Analysis Table: A sleek, color-coded dashboard displays progress bars for each indicator, prediction percentages, and status (e.g., "PERFECT TIME" or "WAIT"). Supports long and short analyses with intuitive ASCII bars for quick scans.
* Projection Candles: Simulates potential next-candle outcomes with volatility-scaled (via Bollinger Bands width) green long and red short candles, aiding in visualizing price targets.
Buy/Sell Signals and Alerts: Generates labeled "BUY" and "SELL" arrows on EMA crossovers within confirmed trends, with separate alerts for basic signals and high-confluence "PERFECT TIME" opportunities.
* Customizable Inputs: Adjust ATR periods, Supertrend factors, minimum confluence scores, and volume ratios to tailor the indicator for stocks, forex, or crypto perpetual futures.
How It Works:
This TradingView script calculates long and short scores using weighted contributions from key indicators, normalizing them into prediction percentages. A confluence check—factoring trend, EMA alignment, MACD, Stochastic, volume, and ADX—triggers "PERFECT TIME" only when conditions align robustly. For example:
In a downtrend (Supertrend red), with bearish MACD and Stochastic, and sufficient volume, the indicator highlights short opportunities.
Dynamic thresholds ensure aggressive entries in strong trends (ADX >25) and conservative ones in weak trends.
Backtested for reliability, it excels in identifying reversals and continuations, making it a must-have for traders seeking an edge in futures trading strategies.
Usage Instructions:
1. Add the indicator to your TradingView chart.
2. Customize settings via the inputs panel (e.g., set minConfluence to 5 for stricter signals).
3. Monitor the analysis table for predictions and confluence scores.
4. Act on "BUY/SELL" labels or "PERFECT TIME" alerts, combining with your risk management.
5. Enable projection candles for visual forecasting of the next bar.
Compatible with all timeframes, from 1-minute scalping to daily swings. Note: This is not financial advice; always verify signals with additional analysis.
Rate and review if it boosts your trades!
Thank you!
Risk Adjusted Geometric Exponent [VynthraQuant]RAGE Index (Risk-Adjusted Geometric Exponent)
Overview
The RAGE Index is a quantitative momentum oscillator that measures the efficiency and quality of an asset's price trend. Standing for Risk-Adjusted Geometric Exponent , this indicator goes beyond simple price action by evaluating the average logarithmic growth rate relative to the asset's volatility.
In institutional finance, it is not just about how much an asset moves, but how it moves. RAGE identifies trends that exhibit high compounding growth with minimal "noise" or volatility.
The Logic Behind RAGE
The indicator is built on two core quantitative pillars:
1. Geometric Exponent (GE): Instead of simple percentage changes, we calculate the geometric mean of log-returns. This represents the true compounding "velocity" of the price.
2. Volatility Normalization: We divide the GE by the standard deviation of returns (Volatility) over a specific lookback period.
How to Interpret the RAGE Index
* The Zero Line: The most critical level. When RAGE crosses above 0, the asset has entered a state of positive geometric growth. Below 0, the asset is in a state of efficient decay.
* Trend Quality: A rising RAGE value indicates that the trend is becoming more "efficient", growth is increasing while volatility is staying low or decreasing.
* Color-Coded Candles: The script features a `force_overlay` function that colors the candles on your main chart.
* Bullish Color: Efficient growth detected (Long bias).
* Bearish Color: Efficient decay detected (Short bias).
Key Features
* Logarithmic Accuracy: Uses log-returns to ensure time-additivity and eliminate the bias found in standard percentage calculations.
* Adaptive to Volatility: Unlike a standard RSI or MACD, RAGE penalizes "choppy" price action, helping you stay out of sideways markets.
* Optimized Performance: Written in Pine Script v6 with high-efficiency math to ensure fast loading even on lower timeframes.
Settings
* GE Lookback: The window used to calculate the average growth rate.
* Volatility Lookback: The window used to measure the "risk" or noise of the price action.
General Disclaimer
This indicator is for informational and educational purposes only. It does not constitute financial advice. The creator bears no responsibility for any financial decisions or losses resulting from its use. Past performance is not indicative of future results.
Islamic Disclaimer
All trading activity should be approached with awareness of halal and haram principles. Ensure your investments, instruments, and methods align with Islamic ethical standards. This tool does not promote speculative or impermissible practices.
Geometric Exponent [VynthraQuant]Overview
The Geometric Exponent is a specialized momentum and trend-strength indicator designed to quantify the average logarithmic growth rate of an asset over a specific lookback period. Unlike standard moving averages, this indicator focuses on the geometric mean of returns, providing a more accurate representation of compounded growth or decay.
By smoothing out the noise of daily price fluctuations through log-returns, the Geometric Exponent helps traders identify the underlying "velocity" of a trend.
How it Works
The indicator calculates the log-return for each bar within the user-defined GE Lookback period. It then computes the arithmetic mean of these log-returns, which mathematically represents the exponent of the geometric growth over that window.
Positive Values: Indicate a period of geometric growth (upward trend).
Negative Values: Indicate a period of geometric decay (downward trend).
Zero Line: Acts as the equilibrium point where there is no net growth.
Key Features
Log-Return Basis: Better suited for financial time series analysis than simple percentage changes, as log-returns are time-additive.
Customizable Lookback: Adjust the GE Lookback to fit your trading style, from fast-reacting scalping to long-term trend following.
Clean Visuals: An oscillator-style plot that makes it easy to spot momentum shifts and divergences.
How to Use
Trend Confirmation: Look for the Geometric Exponent to stay consistently above zero for long-term bullish trends and below zero for bearish trends.
Mean Reversion: Extreme peaks or valleys in the exponent may suggest that the current growth rate is unsustainable, potentially signaling an upcoming retracement.
Divergence: If price makes a new high but the Geometric Exponent makes a lower high, it suggests the "compounding power" of the trend is weakening.
General Disclaimer
This indicator is for informational and educational purposes only. It does not constitute financial advice. The creator bears no responsibility for any financial decisions or losses resulting from its use. Past performance is not indicative of future results.
Islamic Disclaimer
All trading activity should be approached with awareness of halal and haram principles. Ensure your investments, instruments, and methods align with Islamic ethical standards. This tool does not promote speculative or impermissible practices.
Long-term KST (Know Sure Thing)Description
Long-term Know Sure Thing (KST) oscillator, specifically adapted for non-24h markets such as stocks, indices, ETFs and futures.
This version correctly scales the weekly ROC periods based on the actual trading week length and daily session duration of the instrument — making it accurate across different asset classes (European indices, US equities, crypto, etc.).
Key features:
• Fully customizable trading week (5 days for most stock markets, 7 days for crypto/24h markets)
• Customizable daily session length (8.5h for FTSE MIB/DAX, 6.5h for US equities, 24h for crypto/forex)
• Automatically adjusts bar count per week on any chart timeframe (including Weekly)
• Classic Martin Pring KST parameters (10/13/15/20 ROC weeks, 10/13/15/20 SMA weeks, 1-2-3-4 weighting)
• Includes signal line (SMA of KST) and visual fill between KST and signal (green/red)
What is the Long-term KST used for?
The KST (Know Sure Thing) is a momentum oscillator created by Martin Pring to detect major trend changes, confirm the primary trend direction, and identify significant reversals in medium- to long-term cycles (weeks to months).
Main practical uses:
• Major trend reversals: KST crossing above/below signal line
• Primary trend confirmation: KST above/below zero line
• Classic divergences: Price vs KST divergences often precede important tops/bottoms
• Cycle identification: Helps spot the end of multi-month corrections or the start of new bull/bear phases
• Trend-following filter: Stay long when KST > 0 and rising, stay short when KST < 0 and falling
It is especially powerful on major indices (FTSE MIB, DAX, SPX, NDX, RUT, CAC40, Nikkei…) because it captures institutional money flow with fewer, higher-quality signals compared to faster oscillators.
Best used on:
• Daily, 4H, Weekly charts
• European indices (FTSE MIB, DAX, IBEX…)
• US indices/ETFs (SPX, NDX, RUT…)
• Crypto pairs (set week_length=7, session_duration=24h)
Enjoy trading the big-picture momentum!
