RSI + SuperTrend Filter Strategy (45m BTCUSDT)🧠 Strategy Breakdown: RSI + SuperTrend Filter (45m BTCUSDT)
This strategy is built on a simple yet powerful principle: don’t fight the trend — and never ignore momentum exhaustion.
At its core, this setup looks for RSI-based reversal entries, but only when price action aligns with the underlying trend structure, defined by a modified SuperTrend. This combo filters out a large chunk of noise you typically get with RSI alone on lower timeframes.
📊 How It Works
Longs trigger when RSI crosses up from oversold and SuperTrend confirms a bullish bias.
Shorts trigger when RSI crosses down from overbought and SuperTrend confirms a bearish structure.
Each entry is paired with a tight SL (1%) and dynamic TP (1.5%), offering favorable risk:reward setups.
The script includes clean chart visuals — background zones, SL/TP lines, and real-time trend bands — built for clarity and decision speed.
⚙️ Why It Works
Too many RSI strategies reverse blindly — this doesn’t. By combining RSI oversold/overbought conditions with a directional SuperTrend filter, you get higher-quality entries, especially during high-volatility phases.
This is not designed for sideways markets — it’s meant to catch clean swings in structured trends. The 45m TF adds breathing room for better signal quality while still allowing for decent trade frequency.
📈 Backtest Snapshot (3m logic on 45m BTCUSDT)
💰 +213,885 USDT total P&L
🧠 239 trades, with solid coverage across sessions
📉 15% max drawdown
⚖️ Profit factor: 1.12
🔁 Dynamic execution-ready — ideal for automation or manual confirmations
🔧 Built For Traders Who:
Want non-repainting structure they can trust
Prefer mechanical entries with visual context
Are experimenting with automation-ready setups
Need something they can tweak and expand on
🔥 If you're serious about combining clean signals with trend confirmation — this is a solid foundation. Drop a comment if you want the multi-timeframe version or ideas on adding volume-based confirmations.
Центральные осцилляторы
Liquidity Fracture DetectorThe Liquidity Fracture Detector is an advanced tool designed to identify micro-liquidity traps and structural fakeouts on intraday charts. These occur when the market appears to break out, only to quickly reverse — often triggered by stop hunts, inefficient fills, or manipulated order flow.
The script combines volume spikes, volatility anomalies, and price structure breaks to signal "fractures" — points where the market temporarily breaks its behavior, often followed by strong reversals or trend accelerations.
Detection logic in the script:
Volume spike greater than 2x the average (adjustable)
Volatility spike: candle range is > 1.5x the average
Extreme wicks: wick is larger than the candle body (a classic trap signal)
Structure break: price breaks previous high/low but closes back within the old range
Combine these elements → a “fracture” is marked
Visual representation:
Red background = potential bull trap (fake breakout to the upside)
Green background = potential bear trap (fake breakdown to the downside)
A label appears at each fracture: “Echo” with the number of previous hits
Ideal use cases:
Intraday trading (1m, 5m, 15m)
Crypto, indices, futures, and forex
Detecting reactive zones where the market takes a false direction
Confluence with S/R zones, order blocks, or liquidity pools
Fully customizable:
Volume and range sensitivity
Heatmap intensity
Toggle labels on/off
Note:
This script is intended to support discretionary analysis. It does not provide buy or sell signals and is not an automated strategy. Combine it with your own price action or order flow setup for optimal results.
Institutional MACD (Z-Score Edition) [VolumeVigilante]📈 Institutional MACD (Z-Score Edition) — Professional-Grade Momentum Signal
This is not your average MACD .
The Institutional MACD (Z-Score Edition) is a statistically enhanced momentum tool, purpose-built for serious traders and breakout hunters . By applying Z-Score normalization to the classic MACD structure, this indicator uncovers statistically significant momentum shifts , enabling cleaner reads on price extremes, trend continuation, and potential reversals.
💡 Why It Matters
The classic MACD is powerful — but raw momentum values can be noisy and relative , especially on volatile assets like BTC/USD . By transforming the MACD line, signal line, and histogram into Z-scores , we anchor these signals in statistical context . This makes the Institutional MACD:
✔️ Timeframe-agnostic and asset-normalized
✔️ Ideal for spotting true breakouts , not false flags
✔️ A reliable tool for detecting momentum divergence and exhaustion
🧪 Key Features
✅ Full Z-Score normalization (MACD, Signal, Histogram)
✅ Highlighted ±Z threshold bands for overbought/oversold zones
✅ Customizable histogram coloring for visual momentum shifts
✅ Built-in alerts for zero-crosses and Z-threshold breaks
✅ Clean overlay with optional display toggles
🔁 Strategy Tip: Mean Reversion Signals with Statistical Confidence
This indicator isn't just for spotting breakouts — it also shines as a mean reversion tool , thanks to its Z-Score normalization .
When the Z-Score histogram crosses beyond ±2, it marks a statistically significant deviation from the mean — often signaling that momentum is overstretched and the asset may be due for a pullback or reversal .
📌 How to use it:
Z > +2 → Price action is in overbought territory. Watch for exhaustion or short setups.
Z < -2 → Momentum is deeply oversold. Look for reversal confirmation or long opportunities.
These zones often precede snap-back moves , especially in range-bound or corrective markets .
🎯 Combine Z-Score extremes with:
Candlestick confirmation
Support/resistance zones
Volume or price divergence
Other mean reversion tools (e.g., RSI, Bollinger Bands)
Unlike the raw MACD, this version delivers statistical thresholds , not guesswork — helping traders make decisions rooted in probability, not emotion.
📢 Trade Smart. Trade Vigilantly.
Published by VolumeVigilante
30 CCI Normalizzati (Daily Reset)This indicator displays the normalized CCI of the top 30 companies in the NASDAQ.
The main utility of the indicator is to identify which company is primarily driving the NASDAQ and which one is not highly correlated, allowing you to anticipate entries into zones that can be considered similar to overbought and oversold conditions, or to spot divergences.
Essentially, this indicator is a composite CCI.
This indicator is designed to be used in combination with other similar tools I've published, which track the RSI, ATR, MACD, etc., of the top 30 NASDAQ companies.
Frozen Bias Zones – Sentiment Lock-insOverview
The Frozen Bias Zones indicator visualizes market sentiment lock-ins using a combination of RSI, MACD, and OBV. It creates "bias zones" that indicate whether the market is in a sustained bullish or bearish phase. These zones are then highlighted on the chart, helping traders spot when the market is locked in a bias. The script also detects breakout events from these zones and marks them with clear labels for easier decision-making.
Features
Multi-Indicator Sentiment Analysis: Combines RSI, MACD, and OBV to detect synchronized bullish or bearish sentiment.
Frozen Bias Zones: Identifies and visually represents zones where the market has remained in a particular sentiment (bullish or bearish) for a defined period.
Breakout Alerts: Displays labels to indicate when the price breaks out of the established bias zone.
Customizable Inputs: Adjust the zone duration, RSI, MACD, and breakout label visibility.
Input Parameters
Bias Duration (biasLength)
The minimum number of candles the market must stay in a specific sentiment to consider it a "Frozen Bias Zone".
Default: 5 candles.
RSI Period (rsiPeriod)
Period for the Relative Strength Index (RSI) calculation.
Default: 14 periods.
MACD Settings
MACD Fast (macdFast): The fast-moving average period for the MACD calculation.
Default: 12.
MACD Slow (macdSlow): The slow-moving average period for the MACD calculation.
Default: 26.
MACD Signal (macdSig): The signal line period for MACD.
Default: 9.
Show Break Label (showBreakLabel)
Toggle to show labels when the price breaks out of the bias zone.
Default: True (shows label).
Bias Zone Colors
Bullish Bias Color (bullColor): The color for bullish zones (light green).
Bearish Bias Color (bearColor): The color for bearish zones (light red).
How It Works
This indicator analyzes three key market metrics to determine whether the market is in a bullish or bearish phase:
RSI (Relative Strength Index)
Measures the speed and change of price movements. RSI > 50 indicates a bullish phase, while RSI < 50 indicates a bearish phase.
MACD (Moving Average Convergence Divergence)
Measures the relationship between two moving averages of the price. A positive MACD histogram indicates bullish momentum, while a negative histogram indicates bearish momentum.
OBV (On-Balance Volume)
Uses volume flow to determine if a trend is likely to continue. A rising OBV indicates bullish accumulation, while a falling OBV indicates bearish distribution.
Bias Zone Detection
The market sentiment is considered bullish if all three indicators (RSI, MACD, and OBV) are bullish, and bearish if all three indicators are bearish.
Bullish Zone: A zone is created when the market sentiment remains bullish for the duration of the specified biasLength.
Bearish Zone: A zone is created when the market sentiment remains bearish for the duration of the specified biasLength.
These bias zones are visually represented on the chart as colored boxes (green for bullish, red for bearish).
Breakout Detection
The script automatically detects when the market exits a bias zone. If the price moves outside the bounds of the established zone (either up or down), the script will display one of the following labels:
Bias Break (Up): Indicates that the price has broken upwards out of the zone (with a green label).
Bias Break (Down): Indicates that the price has broken downwards out of the zone (with a red label).
These labels help traders easily identify potential breakout points.
Example Use Case
Bullish Market Conditions: If the RSI is above 50, the MACD histogram is positive, and OBV is increasing, the script will highlight a green bias zone. Traders can watch for potential bullish breakouts or trend continuation after the zone ends.
Bearish Market Conditions: If the RSI is below 50, the MACD histogram is negative, and OBV is decreasing, the script will highlight a red bias zone. Traders can look for potential bearish breakouts when the zone ends.
Conclusion
The Frozen Bias Zones indicator is a powerful tool for traders looking to visualize prolonged market sentiment, whether bullish or bearish. By combining RSI, MACD, and OBV, it helps traders spot when the market is "locked in" to a bias. The breakout labels make it easier to take action when the price moves outside of the established zone, potentially signaling the start of a new trend.
Instructions
To use this script:
Add the Frozen Bias Zones indicator to your TradingView chart.
Adjust the input parameters to suit your trading strategy.
Observe the colored bias zones on your chart, along with breakout labels, to make informed decisions on trend continuation or reversal.
30 Prezzi Normalizzati (Daily Reset)This indicator shows the normalized price of the top 30 NASDAQ companies. Like the previous one, its main use is to identifying which company is primarily driving the NASDAQ and in anticipating the market using the information at our disposal. The difference between this indicator and others is that the price is anchored to a common starting point for all companies, offering a clearer view of the market's opening dynamics.
This indicator is designed to be used in combination with other similar tools I’ve published, which track the RSI, CCI, MACD, etc.., of the top 30 NASDAQ companies
Multi-TF MACD ScannerAn indicator for trading Gold, to track MACD cross and histogram across multiple timeframes (4H, 1H, 15M and 5M).
30 ATR NormalizedThis indicator shows the normalized ATR of the top 30 NASDAQ companies.
The main purpose of the indicator is to identify which company is primarily driving the NASDAQ, anticipate increases or decreases in market volume, or spot correlations and divergences.
Essentially, this indicator is a composite ATR.
This indicator is designed to be used in combination with other similar ones I've published, which monitor the RSI, CCI, MACD, etc., of the top 30 NASDAQ companies
MACD Filtered CrossThis indicator adds on to the standard MACD cross by adding a filter. It can be used to filter only MACD crosses above zero or below zero.
I separated the cross ups and cross downs if you only want to see bullish or bearish crosses.
Personally, I like looking for bullish MACD crosses above 0 for possible longs.
Enjoy!
Oath KeeperOath Keeper - Advanced Money Flow & Market Dynamics Indicator
A sophisticated indicator that analyzes market dynamics through money flow patterns, volume analysis, and liquidation detection to identify high-probability trading opportunities.
Core Features:
• Smart Money Flow Analysis: Proprietary calculation of institutional money movement
• Volume-Enhanced Signals: Multi-timeframe volume confirmation
• Liquidation Detection: Identifies potential forced liquidation events
• Advanced Signal Classification: Regular, Super, and Fakeout signals
Signal Types:
1. Regular Signals (Green/Purple Circles)
• Volume-confirmed momentum shifts
• Money flow threshold breaches
• Institutional participation confirmation
2. Super Signals (Green/Purple Squares)
• Deep oversold/overbought reversals
• High-volume rejection patterns
• Liquidation event confirmation
3. Fakeout Signals (Red X)
• Rapid sentiment shifts
• Trap detection
• False breakout warnings
Visual Components:
• Dynamic Money Flow Line (White/Purple)
• Order Flow Clouds (Green/Red with high transparency)
• Reference Levels (20, 50, 80)
• Multi-type Signal Markers
• Color-coded momentum visualization
Interpretation Guide:
• Green Cloud: Bullish money flow dominance
• Red Cloud: Bearish money flow dominance
• Circle Markers: Standard reversals
• Square Markers: High-conviction moves
• X Markers: Potential trap zones
Best Practices:
• Most effective on 1H+ timeframes
• Use with major trading pairs
• Wait for candle close confirmation
• Combine with support/resistance levels
• Monitor volume confirmation
• Use multiple timeframe analysis
This indicator helps traders identify institutional money flow, potential liquidation events, and market reversals by analyzing volume patterns and money flow dynamics, providing multiple confirmation layers for trade decisions.
Note: Performance varies with market conditions and timeframes. Always employ proper risk management.
🔥 PratikMoneyCPTY – AI Crypto Swing SignalCreated by Pratik Patel, this advanced crypto trading tool fuses AI logic with technical indicators—EMA, SuperTrend, MACD, RSI, and candlestick patterns—to identify profitable swing entries. Built for crypto markets like BTC, ETH, and top altcoins on 4H/1D charts. Includes smart alerts, BUY/SELL tags, and popup notifications for actionable insights.
Chande Composite Momentum Index [LazyBear]This is a Updated Version of the original indikator from lazy bear!
It has added a clear buy signal if the there is a bullish momentum under the -25 Level!
The buy is only confirmed if the SMA length 2 is sideways or up to prevent opening Trades in a ongoing Downtrend!
the Buy Singnals you find below, the green Dots.
Let me knwo if i shouldd add a sell also or should do any Changes.
30 Normalized Price with LimitsThis indicator shows the normalized price of the top 30 NASDAQ companies.
The main purpose of the indicator is to identify which company is primarily driving the NASDAQ and to anticipate the market using the information we have.
This indicator is designed to be used in combination with other similar ones I’ve published, which monitor the RSI, CCI, MACD, etc., of the top 30 NASDAQ companies.
VWAP Separation w/ StDev (LEX)---
## VWAP Separation with Standard Deviation Bands
**Overview**
This indicator measures and visualizes the raw distance (separation) between a chosen price source (like `hlc3` or `close`) and its corresponding Volume Weighted Average Price (VWAP) for a selected anchor period. It helps traders gauge how far the current price has deviated from its volume-weighted average.
To provide context on the magnitude of this separation, the indicator also calculates and plots dynamic bands representing +/- 1 standard deviation of the separation value itself, calculated over a user-defined lookback period.
**How it Works**
1. **VWAP Calculation:** The indicator first calculates the VWAP based on the user-selected `Anchor Period` (e.g., Session, Week, Month) and `Source` price. The VWAP calculation resets at the beginning of each new anchor period.
2. **Separation Calculation:** It then subtracts the calculated VWAP from the source price for each bar (`Separation = Source - VWAP`).
3. **Plotting Separation:** This raw separation value is plotted as a line in a separate indicator pane.
* Positive values indicate the source price is above the VWAP.
* Negative values indicate the source price is below the VWAP.
4. **Zero Line & Crossings:** A horizontal line at zero is plotted for easy reference. Small circles are plotted on the zero line whenever the separation value crosses it (using `ta.cross`), highlighting moments when the price crosses its VWAP.
5. **Standard Deviation Bands:**
* The indicator calculates the rolling Simple Moving Average (SMA) of the `Separation` value over a specified `StDev Length` using `ta.sma`.
* It then calculates the rolling standard deviation of the `Separation` value over the same length using `ta.stdev`.
* Finally, it plots two dynamic lines: `SMA + 1 StDev` and `SMA - 1 StDev`. These bands represent the typical range of the separation's volatility based on the lookback period.
**How to Use / Interpretation**
* **Magnitude of Separation:** The primary line directly shows how far, in price terms, the market is currently trading away from its VWAP for the chosen anchor period. Large absolute values suggest a significant deviation.
* **Zero Line:** Crossing the zero line indicates the price is moving from one side of the VWAP to the other. The indicator staying consistently above/below zero shows price trending relative to its VWAP.
* **Standard Deviation Bands:** These bands help contextualize the separation.
* When the separation line touches or exceeds the upper band, it suggests the price is unusually far *above* the VWAP compared to its recent behavior.
* When the separation line touches or exceeds the lower band, it suggests the price is unusually far *below* the VWAP compared to its recent behavior.
* These "unusual" deviations *might* indicate over-extended conditions potentially leading to mean reversion back towards the VWAP, *or* they could signal the start of a strong move away from the VWAP. Always use in conjunction with other analysis methods.
* The width of the bands indicates the recent volatility *of the separation value itself*. Wider bands mean the separation has been more volatile; narrower bands mean it's been more stable.
**Key Features**
* Flexible VWAP calculation based on various anchor periods (Session, Week, Month, Earnings, etc.).
* Plots the raw price separation from VWAP.
* Clear zero line reference.
* Visual markers for zero-line crossings.
* Dynamic +/- 1 Standard Deviation bands based on the separation's volatility.
* User-configurable inputs for anchor period, price source, and standard deviation length.
**Settings**
* **Anchor Period:** Determines the calculation period for VWAP (Session, Week, Month, Quarter, Year, Decade, Century, Earnings, Dividends, Splits). Default: `Session`.
* **Source:** The price data used for calculating VWAP and separation (e.g., hlc3, close, open). Default: `hlc3`.
* **StDev Length:** The lookback period (number of bars) used to calculate the moving average and standard deviation of the separation value. Default: `20`.
**Disclaimer**
This indicator is provided for educational and informational purposes only. It does not constitute financial advice or a recommendation to trade. Trading financial markets involves significant risk. Always perform your own due diligence and test any indicator thoroughly before using it in live trading. Past performance is not indicative of future results.
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Volume Flow RatioVolume Flow Ratio (VFR) Indicator
Overview
The Volume Flow Ratio (VFR) is a sophisticated volume analysis tool that measures current trading volume relative to the maximum volume of the previous period. Unlike traditional volume indicators that show raw volume or simple moving averages, VFR provides context by comparing current activity to recent maximum activity levels.
Core Features
1. Split Period Analysis
- Multiple Timeframe Options:
- Daily: Compares to previous day's maximum
- Weekly: Week-to-week comparison
- NYSE Weekly: Specialized for stock market trading (Monday-Friday only)
- Monthly: Month-to-month analysis
- Quarterly: Quarter-to-quarter perspective
- Yearly: Year-over-year volume comparison
2. Ratio-Based Measurement
- Displays volume as a ratio (0 to 1+) rather than raw numbers
- 1.0 represents volume equal to previous period's maximum
- Example: If previous max was 50,000 contracts:
- Current volume of 25,000 shows as 0.5
- Current volume of 75,000 shows as 1.5
3. Triple Coloring Modes
- Moving Average Based:
- Compares current ratio to its moving average
- Customizable MA period
- Green: Above MA (higher than average activity)
- Red: Below MA (lower than average activity)
- Previous Candle Comparison:
- Simple increase/decrease from previous bar
- Green: Higher than previous bar
- Red: Lower than previous bar
- Candle Color Based:
- Syncs with price action
- Green: Bullish candles (close > open)
- Red: Bearish candles (close < open)
Primary Use Cases
1. Volume Profile Analysis
- Perfect for traders who need to understand when markets are most active
- Helps identify unusual volume spikes relative to recent history
- Useful for timing entries and exits based on market participation
2. Market Activity Traders
Ideal for traders who:
- Need to identify high-liquidity periods
- Want to avoid low-volume periods
- Look for volume breakouts or divergences
- Trade based on institutional participation levels
3. Mean Reversion Traders
Helps identify:
- Overextended volume conditions (potential reversals)
- Volume exhaustion points
- Return to normal volume levels after spikes
4. Momentum Traders
Useful for:
- Confirming trend strength through volume
- Identifying potential trend exhaustion
- Validating breakouts with volume confirmation
Advantages Over Traditional Volume Indicators
1. Contextual Analysis
- Shows relative strength rather than raw numbers
- Easier to compare across different time periods
- Automatically adjusts to changing market conditions
2. Period-Specific Insights
- Respects natural market cycles (daily, weekly, monthly)
- Special handling for NYSE trading days
- Eliminates weekend noise in stock market analysis
3. Flexible Visualization
- Three distinct coloring methods for different trading styles
- Clear reference line at 1.0 for quick analysis
- Histogram style for easy pattern recognition
Best Practices
For Day Traders
- Use Daily split for intraday volume patterns
- MA coloring mode with shorter periods (5-10)
- Focus on ratios during market hours
For Swing Traders
- Weekly or NYSE Weekly splits
- Longer MA periods (15-20)
- Look for sustained volume patterns
For Position Traders
- Monthly or Quarterly splits
- Candle color mode for trend confirmation
- Focus on major volume shifts
Limitations
- Requires one full period to establish baseline
- May be less effective in extremely low volume conditions
- NYSE Weekly mode specific to stock market hours
This indicator is particularly valuable for traders who understand that volume is a crucial component of price action but need a more sophisticated way to analyze it than simple volume bars. It's especially useful for those who trade based on market participation levels and need to quickly identify whether current volume is significant relative to recent history.
[blackcat] L3 Ehlers DFT-Adapted RSIOVERVIEW
The L3 Ehlers DFT-Adapted RSI is an advanced technical indicator that combines Digital Fourier Transform (DFT) analysis with traditional RSI calculations to provide enhanced market trend identification and trading signals.
FEATURES
• DFT-based frequency analysis of price movements
• Adaptive RSI calculation using dominant cycle detection
• Fast and slow moving average lines
• Color-coded candlestick visualization
• Horizontal reference lines at 45 and 55
• Intelligent sideways detection and label management
• Customizable parameter inputs
HOW TO USE
Configure the following inputs:
• Price source (default: HL2)
• Window size (default: 50)
• Overbought threshold (default: 70)
• Oversold threshold (default: 30)
• Fraction multiplier (default: 0.5)
Interpret the indicator:
• Yellow candles indicate bullish momentum
• Fuchsia candles indicate bearish momentum
• Crosses between fast and slow lines suggest potential trend changes
• Position relative to the 45/55 lines indicates overall market sentiment
• Labels appear only when sideways conditions break
SIDESWAYS DETECTION
• Sideways conditions are identified when:
The difference between fast and slow lines is less than 0.5
Both lines show minimal movement (< 0.1) • During sideways periods:
Existing labels are removed
No new labels are generated • When sideways ends:
If trend reverses, opposite label is generated
If trend continues, no new label is created
LIMITATIONS
• Requires sufficient historical data for accurate calculations
• Performance may vary across different market conditions
• Parameter sensitivity requires careful calibration
NOTES
• The indicator uses Ehlers' proprietary DFT methodology
• Default settings are optimized for general market conditions
• Consider adjusting parameters based on your trading timeframe and strategy
Multi-Oscillator Adaptive KernelMulti-Oscillator Adaptive Kernel
Introduction
The Multi-Oscillator Adaptive Kernel (MOAK) is a powerful momentum-based indicator that fuses multiple popular oscillators RSI, Stochastic, MFI, and CCI into a single, adaptive tool. Through advanced kernel smoothing techniques, MOAK is engineered to filter out market noise and deliver clearer, more consistent trend signals. Whether in trending or ranging markets, MOAK equips traders with a holistic perspective on momentum across multiple timeframes.
Key Features
Oscillator Fusion: Combines normalized values from RSI, Stochastic, Money Flow Index, and Commodity Channel Index to capture broader momentum shifts.
Advanced Kernel Smoothing: Utilizes three kernel smoothing algorithms—Exponential, Linear, and Gaussian—to refine raw oscillator data and minimize false signals.
Customizable Sensitivity: Traders can tailor the indicator's responsiveness by adjusting lookback periods, kernel lengths, and smoothing sensitivity.
Clear Visual Signals: Features a color-coded signal line—cyan for bullish, magenta for bearish—with gradient fills to reflect trend intensity and direction.
Overbought/Oversold Zones: A central zero line helps identify momentum extremes, with layered gradients to indicate the strength of potential reversals or continuations.
Adaptive Signal Design: Dynamically adjusts its output to align with changing market conditions, offering reliable performance across diverse market environments.
How It Works
MOAK starts by calculating and normalizing input from four widely used momentum oscillators: Relative Strength Index (RSI), Stochastic Oscillator, Money Flow Index (MFI), and Commodity Channel Index (CCI). These values are then aggregated to form a composite momentum reading.
To reduce market noise and enhance signal clarity, the composite reading is passed through one of three user-selectable kernel smoothing filters—Exponential, Linear, or Gaussian. These algorithms shape the data curve, softening abrupt fluctuations while preserving meaningful trends.
The resulting smoothed output is rendered visually as a central signal line, colored cyan for upward momentum and magenta for downward momentum. A series of gradient fills around this line illustrates the intensity of the underlying momentum, with the zero line acting as a visual boundary between overbought and oversold regions. Users can customize key parameters such as lookback window, kernel length, and sensitivity level, ensuring the indicator can be optimized for different assets and trading styles.
Examples
MOAK is able to provide clear trend detection on large cap token such as Bitcoin in the example shown below and resistant to noise during consolidation period.
Downside positions are also handled by the indicator, this time on Solana which is more volatile than Bitcoin but even with more volatility MOAK was able to catch an early entry in the downside move.
Below an example on a lower timeframe with a low cap token Fartcoin where MOAK triggered an early entry on a positive uptrend.
Conclusion
MOAK is a sophisticated yet intuitive momentum indicator, merging the strengths of multiple oscillators into a cohesive and adaptive signal. Its kernel-based smoothing and customizable parameters make it a valuable tool for traders seeking to identify trend direction, assess momentum strength, and filter out short-term noise with precision. Ideal for both trend-following and range-trading strategies, MOAK offers a versatile edge in dynamic market conditions.
Disclaimer
This indicator is provided for informational and educational purposes only. It does not constitute financial advice, nor does it guarantee specific results. Always perform your own analysis and consult a licensed financial advisor before making any trading decisions. Use at your own risk.
Dynamic Volume Profile OscillatorDynamic Volume Profile Oscillator
Introduction
The Dynamic Volume Profile Oscillator (DVPO) is an advanced technical analysis tool that merges volume profiling with price action dynamics to enhance trend identification and improve trade entry precision. Unlike conventional oscillators that rely solely on price-based metrics, DVPO incorporates adaptive volume-weighted mean deviations to present a more responsive and insightful perspective on market behavior. This makes it a powerful instrument for traders seeking refined momentum insights and context-aware overbought/oversold detection.
Key Features
Adaptive Volume Profiling: Utilizes real-time volume data to adjust the oscillator’s sensitivity to prevailing market activity, enabling more accurate trend and exhaustion zone identification.
Mean Reversion Mode: Highlights potential reversion points when price deviates significantly from volume-weighted norms, ideal for contrarian and range-bound strategies.
Oscillator Smoothing: Integrates optional smoothing filters to reduce noise and provide clearer directional signals without sacrificing responsiveness.
Dynamic Midline & Zones: Features an evolving midline calibrated to the current volume-weighted context, along with dynamically adjusting overbought and oversold zones.
Signal Crossovers: Generates actionable momentum signals when the oscillator crosses key thresholds or the midline, aiding in timing entries and exits.
Gradient Zone Visualization: Visually represents intensity and directional bias through gradient color zones, helping users quickly assess momentum strength and market condition shifts.
How It Works
The DVPO calculates deviations from a volume-weighted average price baseline across a defined lookback period. These deviations are then transformed into an oscillator that fluctuates above and below a dynamic midline, which represents the fair value zone based on recent volume distribution.
To enhance interpretability, the indicator introduces:
Dynamic Zones that expand or contract based on current volatility and volume skewness.
Smoothing algorithms (optional) that can be applied to reduce erratic movements caused by sudden spikes in volume.
Gradient coloring to reflect the strength and direction of the momentum — darker tones indicate stronger trends, while lighter ones suggest potential reversals or weakening trends.
Crossover logic that detects when the oscillator line crosses above or below the midline or critical thresholds, often coinciding with trend initiations or reversals.
Conclusion
The Dynamic Volume Profile Oscillator offers a significant enhancement to traditional momentum indicators by intelligently adapting to both price and volume shifts. Whether used for trend following, mean reversion, or breakout confirmation, its comprehensive design provides traders with an intuitive yet powerful edge in identifying actionable market signals across varying conditions.
Disclaimer
This indicator is intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Users should perform their own due diligence and consult a qualified financial advisor before making any trading decisions.
Dynamic Momentum BandsDynamic Momentum Bands
Introduction
The Dynamic Momentum Bands indicator is a powerful analytical tool designed to help traders identify the strength and direction of market momentum with greater precision. By combining key technical methodologies such as Relative Strength Index (RSI), adaptive volatility analysis, and customizable moving averages this indicator offers a multi-dimensional perspective on evolving market conditions. Whether in trending or ranging environments, Dynamic Momentum Bands aim to deliver actionable insights that enhance decision-making and risk management.
Key Features
Adaptive Band Calculation: The bands adjust dynamically in response to market conditions, allowing them to expand during volatile periods and contract during consolidation phases.
RSI-Driven Volatility Scaling: Integrates RSI analysis to scale the width of the bands based on momentum strength, creating a responsive and context-aware framework for trend evaluation.
Multiple Moving Average Options: Offers flexibility with various smoothing techniques, enabling users to tailor the indicator to their preferred strategies (e.g., EMA, SMA, WMA).
Smooth Gradient-Based Visualization: Enhances visual clarity with color gradients that reflect momentum intensity and directional bias, supporting intuitive interpretation of the market state.
How It Works
The Dynamic Momentum Bands indicator operates by combining three core components:
Adaptive Moving Averages: A central baseline is calculated using a selected moving average type. This baseline reflects the general price trend over a user-defined lookback period.
Volatility-Scaled Band Widths: Band distances from the central average are determined using an RSI-based volatility model. Higher RSI values and volatility readings cause the bands to widen, signaling stronger price momentum or potential breakouts.
Gradient Visualization: The bands are color-coded with gradient fills to reflect changes in momentum strength, providing real-time visual cues about potential trend shifts or exhaustion points.
This integration of methodologies allows the indicator to remain responsive to price action while maintaining a smooth, noise-filtered representation of market dynamics.
Conclusion
The Dynamic Momentum Bands indicator offers a versatile and insightful approach to tracking market momentum and volatility. Its adaptive design and multifactor methodology make it suitable for traders who seek a deeper understanding of price behavior beyond conventional moving average envelopes. By delivering a visually rich and responsive analysis tool, it empowers users to make more informed trading decisions across various market environments.
Disclaimer
This indicator is intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Users are advised to conduct their own analysis and consult with a licensed financial advisor before making any trading decisions.
Gas/Oil SpreadGas/Oil Spread Analyzer with Static Overbought/Oversold Zones
This indicator measures the spread between the actual price of natural gas and its oil-based equivalent, derived from a defined oil/gas ratio. It helps traders identify potential mispricings and mean-reversion opportunities between the two energy commodities.
Key Features:
- Calculates spread: Gas Price – Oil-Based Equivalent Price
- Supports dynamic or static oil/gas ratio
- Plots a smoothed version of the spread (SMA)
- Displays static overbought and oversold zones to highlight extreme deviations
Use Cases:
- Detect overvalued or undervalued gas relative to oil
- Spot potential reversion setups in intermarket trading
- Evaluate energy market dislocations and hedging opportunities
MA Smoothed RSI For LoopMA Smoothed RSI For Loop
Introduction
The MA Smoothed RSI For Loop is a refined momentum indicator that enhances the classic Relative Strength Index (RSI) through advanced smoothing techniques and intelligent visual cues. By applying a moving average smoothing process within a for loop structure and integrating upper and lower threshold logic, this tool enables traders to detect trends with greater clarity and robustness. It is specifically built for traders who seek high-confidence signals through smoothed momentum analysis and contextual visual feedback.
Key Features
For Loop RSI Smoothing: Applies iterative moving average smoothing to the RSI using a for loop, reducing false signals and improving overall trend accuracy.
Threshold-Based Trend Detection: Incorporates upper and lower RSI thresholds to filter out weak signals and confirm strong momentum-driven trends.
Customizable Moving Averages: Supports a variety of moving average types (such as SMA, EMA, WMA) and lengths for tailored responsiveness.
Dynamic Color Feedback: Colors adapt based on RSI position and momentum, making it easy to interpret strength, reversal zones, or trend continuations.
Real-Time Trend Table: Trend Direction (uptrend/downtrend), Strength of Trend (based on RSI slope and threshold behavior) and Duration (number of bars in the current trend phase).
Weighted Loop Control: Allows users to apply weights during the smoothing loop, fine-tuning the indicator’s sensitivity.
How It Works
The indicator begins by computing the RSI from price data. It then enters a for loop where the RSI is repeatedly smoothed with a chosen moving average. This recursive process stabilizes the signal, minimizing the effects of short-term noise.
Upper and lower RSI thresholds are applied to define meaningful zones of momentum. Only when the smoothed RSI crosses and sustains beyond these thresholds is a trend considered significant. The direction and persistence of these movements are visually encoded using dynamic color schemes and captured numerically in the trend table.
This dual-layered method smoothing and threshold filtering provides a robust structure for identifying and monitoring meaningful price momentum.
Use Case
In the example described above we have one long and short positions early triggered once the momentum signal crossed its related threshold up in the case of bullish trend and down for the bearish one.
Conclusion
The MA Smoothed RSI For Loop offers a sophisticated approach to trend analysis by blending smoothed RSI logic with threshold-based confirmation and rich visual interpretation.
Disclaimer
This indicator is designed for educational and informational use only. It should not be construed as financial advice or a recommendation to trade. Always perform your own analysis and consult a qualified financial advisor before making investment decisions. Use at your own risk.
Parabolic RSI [ChartPrime]The Parabolic RSI indicator applies the Parabolic SAR directly to the Relative Strength Index (RSI) . This combination helps traders identify trend shifts and potential reversal points within the RSI framework. The indicator provides both regular and strong signals based on whether the Parabolic SAR crosses above or below key RSI thresholds.
⯁ KEY FEATURES
Parabolic SAR Applied to RSI – Tracks momentum shifts within the RSI indicator.
Dynamic SAR Dots – Plots SAR levels directly on the RSI for visual clarity.
Threshold-Based Signal Filtering – Uses upper (70) and lower (30) RSI levels to determine strong signals.
Simple and Strong Signal System :
Big Diamonds (Strong Signals) – Appear when Parabolic SAR crosses above 70 or below 30 RSI, indicating potential reversals.
Small Diamonds (Regular Signals) – Appear when Parabolic SAR flips inside the RSI range, signaling weaker trend shifts.
Chart Overlay Signals – Highlights strong RSI-based trend shifts directly on the price chart.
Fully Customizable – Modify RSI length, SAR parameters, colors, and signal displays.
⯁ HOW TO USE
Look for strong signals (big diamonds) when SAR flips above 70 RSI (overbought) or below 30 RSI (oversold) for potential reversals.
Use regular signals (small diamonds) for minor trend shifts within the RSI range.
Combine with price action and other indicators to confirm entry and exit points.
Adjust the SAR acceleration factors to fine-tune sensitivity based on market conditions.
⯁ CONCLUSION
The Parabolic RSI indicator merges trend-following and momentum-based analysis by applying the Parabolic SAR to RSI. This allows traders to detect trend shifts inside the RSI space with an intuitive diamond-based signal system . Whether used alone or as part of a broader trading strategy, this indicator provides a clear and structured approach to identifying momentum reversals and potential trading opportunities.
TrendPulse ADX [Fixed]The TrendPulse ADX helps you spot strong market trends by combining two key signals:
ADX (Average Directional Index) shows how strong a trend is (up or down).
Volume confirms that the trend has enough trading activity to trust it.
What it does:
Lights up when a trend is strong (ADX above a threshold) and volume is higher than usual.
Avoids weak signals by checking market volatility (using ATR).
Shows clear buy/sell signals with green/red triangles on the chart.
Why it’s better:
Reacts faster than standard ADX to catch trends early.
Only triggers on significant volume spikes, reducing false signals.
Works for stocks, crypto, forex, or any market you trade.
How to use:
Add it to your TradingView chart.
Look for green triangles (potential buy) or red triangles (potential sell).
Adjust settings like ADX threshold or volume multiplier to fit your trading style (e.g., scalping or swing trading).
Always confirm with price action or other tools and use a stop-loss to manage risk.
