Improved Historical Volatility Calculator (No Options)Improved Historical Volatility Calculator (No Options)
Description
The "Improved Historical Volatility Calculator (No Options)" is a Pine Script indicator designed to calculate the historical volatility (HV) of assets without relying on options data. This tool is particularly useful for markets like forex, indices, or stocks where options trading might be limited or unavailable. It provides a customizable way to measure volatility based on historical price movements, with options to adjust the calculation period, trading days per year, and use an exponentially weighted moving average (EWMA) for enhanced sensitivity to recent data.
This indicator can be used standalone to visualize volatility trends or integrated with other scripts (e.g., option pricing models) to provide a manual input for implied volatility (IV).
Features
Customizable Period: Adjust the number of days (5 to 365) for volatility calculation.
Flexible Annualization: Set the number of trading days per year (default 252) to suit different markets (e.g., 365 for forex).
EWMA Option: Toggle between standard deviation and EWMA for a more responsive volatility measure.
Trend Adjustment: Removes the influence of price trends using an EMA-based detrending method.
Visual Output: Displays volatility as a histogram and labels the latest value on the chart.
How to Use
Add the Indicator: Load the indicator onto your chart via the Pine Script editor or the Indicators menu.
Configure Settings:
Period for Calculation: Set the lookback period (e.g., 30 days) to calculate volatility.
Trading Days per Year: Adjust for your market (e.g., 252 for stocks, 365 for continuous markets).
Use EWMA: Enable for a weighted approach focusing on recent volatility.
Interpret the Results: The histogram shows volatility in decimal form (e.g., 0.03136 = 3.136%), and the label displays the percentage on the last bar.
Integration: Use the calculated volatility value (in decimal form) as a manual IV input in other scripts, such as option pricing models.
Example
For the DXY index, with a 60-day period and 252 trading days per year, the indicator might output a volatility of 0.03136 (3.136%). You can input this value into an options model to estimate standard deviation levels, adjusting for the days to expiry.
Notes
Accuracy: The indicator provides a reliable estimate of historical volatility, with improvements like trend removal and EWMA. For precision, use a period that matches your trading horizon (e.g., 30-90 days).
Limitations: Volatility is based on historical data and may not reflect future market conditions or implied volatility from options.
Compatibility: Tested on TradingView as of June 16, 2025. Ensure sufficient historical data is available for the chosen period.
Suggestions
Increase the period for volatile assets to smooth out noise.
Share feedback or request enhancements in the comments!
Biến động
Momentum Candle by Sekolah Trading## 🔷 Introduction
**Momentum Candle by Sekolah Trading** is a proprietary price action tool that identifies high-conviction candles with large bodies and minimal wicks, based on dynamically adjusted thresholds tailored to each pair and timeframe. This script helps traders recognize moments of price acceleration that often precede breakouts, trend continuation, or sharp reversals.
---
## 🔷 What Makes This Script Unique (Originality & Utility)
Unlike traditional candle filters that rely on static size comparisons, this indicator uses:
- **Instrument-specific pip sensitivity**: Automatically detects if the pair is XAUUSD, JPY-based, or other Forex instruments.
- **Timeframe-based calibration**: Adjusts body size thresholds dynamically for 5m, 15m, 30m, and 1h.
- **Wick ratio control**: Validates only candles with short wicks (<30%), filtering indecisive moves.
- **Non-repainting logic**: Signals appear after candle close, with no future data lookahead.
This logic has been tested and refined internally by **Sekolah Trading**, designed for scalpers and intraday traders who rely on clean price action structure.
---
## 🔷 How It Works
1. **Pair & Timeframe Detection**
Adjusts `minRange` dynamically based on:
- Gold (XAUUSD), JPY pairs, or other Forex
- Timeframe: 5m to 1h
2. **Candle Structure Analysis**
- Calculates body = `abs(open - close)`
- Wick = `upper + lower shadows`
- Valid only if wick is under 30% of total candle
3. **Conditions for Signal**
- Body ≥ minRange
- Wick ≤ 30%
- Clear bullish or bearish direction
4. **Plots**
- 🔺 Blue triangle = Bullish momentum candle
- 🔻 Red triangle = Bearish momentum candle
---
## 🔷 How to Use
1. **Add to any 5m–1h chart**, ideally on XAUUSD or major Forex pairs
2. **Wait for signal triangle** to appear at the close of a candle
3. Use with:
- Trend indicators (MA, Supertrend, etc.)
- Support/resistance zones
- Breakout levels
4. **Set alerts** using:
`Momentum Candle (Body)`
---
## 🔷 Why This Script is Closed-Source
This indicator includes proprietary logic created by **Sekolah Trading** for professional and community use:
- Original dynamic pip sensitivity calibration
- Custom multi-condition filtering
- Non-reused, non-public logic with adaptive precision
The source is protected to prevent unauthorized duplication. However, all relevant logic and intent have been clearly explained above as required by TradingView’s House Rules.
---
## 🔷 Disclaimer
This indicator does not provide financial advice or guaranteed signals. Always combine with your own analysis and risk management. Historical performance does not guarantee future results.
---
## 🔷 Suggested Tags
`momentum`, `price action`, `breakout`, `forex`, `xauusd`, `jpy`, `scalping`, `candle`, `non-repainting`, `trend confirmation`
Adaptive Multi-MA OptimizerAdaptive Multi-MA Optimizer
This indicator provides a powerful, customizable solution for traders seeking dynamically optimized moving averages with precision and control. It integrates multiple custom-built moving average types, applies real-time volatility-based optimization, and includes an optional composite smoothing engine.
🧠 Key Features
Dynamic Optimization:
Automatically selects the optimal lookback length based on market volatility stability using a custom standard deviation differential model.
Multiple Custom MA Types:
Includes fully custom implementations of:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
VWMA (Volume Weighted MA)
DEMA (Double EMA)
TEMA (Triple EMA)
Hull MA
ALMA (Arnaud Legoux MA)
Composite MA Option:
A unique "Composite" mode blends all supported MAs into a single average, then applies optional smoothing for enhanced signal clarity.
Dynamic Smoothing:
The composite mode supports volatility-adjusted smoothing (based on optimized lookback), making it adaptable to different market regimes.
Fully Custom Logic:
No built-in MA functions are used — every moving average is hand-coded for transparency and educational value.
⚙️ How It Works
Optimization:
The script evaluates a range of lengths (minLen to maxLen) using the standard deviation of price returns. It selects the length with the most stable recent volatility profile.
Calculation:
The selected MA type is calculated using that optimized length. If "Composite" is chosen, all MA types are averaged and smoothed dynamically.
Visualization:
The adaptive MA is plotted on the chart, changing color based on its position relative to price.
📌 Use Cases
Trend-following strategies that adapt to different market conditions.
Traders wanting a high-fidelity composite of multiple MAs.
Analysts interested in visualizing market smoothness without lag-heavy signals.
Coders looking to learn how to build custom indicators from scratch.
🧪 Inputs
MA Type: Choose from 8 MA types or a blended Composite.
Lookback Range: Control min/max and step size for optimization.
Source: Choose any price series (e.g., close, hl2).
⚠️ Disclaimer
This indicator is for educational and informational purposes only and does not constitute financial advice, trading advice, or investment recommendations. Use of this script is at your own risk. Past performance does not guarantee future results. Always perform your own analysis and consult with a qualified financial advisor before making trading decisions.
Dynamic Laguerre Filter Bands | OttoThis indicator combines trend-following and volatility analysis by enhancing the traditional Laguerre filter with a dynamic, volatility-adjusted band system. Instead of using fixed thresholds, the bands adapt in real-time to changing market conditions by applying smoothed standard deviation calculations. This design keeps the indicator responsive to significant price movements while effectively filtering out short-term market noise, resulting in more accurate trend identification and breakout signals.
Core Concept
The indicator is built around the following key components:
Laguerre Filter:
The Laguerre filter is designed to smooth out price data by reducing market noise while still being quick enough to detect real changes in price direction. Its goal is to create a clear, smooth trend line that helps traders/investors focus on the overall market trend without getting distracted by small, random price swings.
It uses a parameter called gamma to control how it balances smoothness and responsiveness:
A lower gamma gives more weight to recent price data, making the filter react faster to new price changes. This means the trend line is more sensitive but may also be less smooth and more prone to small fluctuations.
A higher gamma gives more weight to past price data, making the filter smoother and less sensitive to quick changes. This helps reduce noise and produces a steadier trend line, but it also introduces more lag, meaning the filter reacts slower to new price moves.
By adjusting gamma, the Laguerre filter lets you choose the balance between following price changes quickly and having a stable, noise-free trend signal.
Standard Deviation:
shows how much price varies from the mean. In this indicator, it’s used to measure market volatility.
Volatility Bands: The upper and lower bands are based on an EMA-smoothed standard deviation of price. The EMA reduces sudden jumps in volatility, creating smoother and more stable bands that still respond to changing market conditions. These bands are plotted around the Laguerre filter line, expanding and contracting in a controlled way to stay aligned with real market movement while avoiding short-term noise.
Signal Logic:
A long signal is triggered when the close price crosses above the upper band.
A short signal occurs when the close price falls below the lower band.
⚙️ Inputs
Source: Price source used in calculations
Gamma: Adjusts how much the Laguerre filter responds to price changes. Lower gamma values make the filter react more to recent prices, while higher values give more influence to older data, making the line smoother but slower to respond.
Volatility Length: Period used to calculate standard deviation
Volatility Smoothing Length: EMA smoothing length for standard deviation
Multiplier: Scales the width of the bands based on volatility
📈 Visual Output
Laguerre Filter Line: Plots the laguerre filter line, colored dynamically based on signal direction (green for bullish, purple for bearish)
Upper & Lower Bands: Volatility-based bands that adjust with market conditions. (green for bullish, purple for bearish)
Glow Effect: Optional glow layer to enhance visibility of the laguerre filter trend line (green for bullish, purple for bearish)
Bar Coloring: Candlesticks and bar colors reflect the active signal state for fast visual interpretation (green for bullish, purple for bearish)
How to Use
Apply the indicator to your chart and monitor for signal events:
Long Signal: When price closes above the upper band
Short Signal: When price closes below the lower band
🔔 Alerts
This indicator supports optional alert conditions you can enable for:
Long Signal: Close price crossing above the upper band
Short Signal: Close price crossing below the lower band
⚠️ Disclaimer:
This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
VWAP Multi-Timeframe VWAP Multi-Timeframe - Complete Professional Indicator
🚀 WHAT IS IT?
The VWAP Multi-Timeframe is an advanced indicator that combines 5 different VWAP periods in a single tool, providing a complete view of market fair value levels across multiple time scales.
⭐ KEY FEATURES
📊 5 Configurable VWAPs:
🟡 Daily VWAP - Ideal for day trading and intraday operations
🟠 Weekly VWAP - Perfect for swing trading
🔵 Monthly VWAP - Excellent for medium-term analysis
🔴 Quarterly VWAP - Essential for quarterly strategies
🟢 Yearly VWAP - Fundamental for long-term investments
🎯 Multiple Price Sources:
Choose the source that best fits your strategy:
Close - Closing price (most common)
OHLC4 - Complete average (smoother)
HLC3 - Typical price (default)
HL2 - Period midpoint
Open/High/Low - Specific prices
💡 HOW TO USE
For Day Traders:
Use Daily VWAP as main fair value reference
Prices above = buying pressure / Prices below = selling pressure
For Swing Traders:
Combine Weekly and Monthly VWAP to identify trends
Look for confluences between different timeframes
For Investors:
Quarterly and Yearly VWAP show long-term value levels
Excellent for identifying entry points in investments
🔧 TECHNICAL FEATURES
✅ Pine Script v6 - Latest and optimized version
✅ Clean Interface - User-friendly design
Adaptive Normalized Global Liquidity OscillatorAdaptive Normalized Global Liquidity Oscillator
A dynamic, non-repainting oscillator built on real central bank balance sheet data. This tool visualizes global liquidity shifts by aggregating monetary asset flows from the world’s most influential central banks.
🔍 What This Script Does:
Aggregates Global Liquidity:
Includes Federal Reserve (FED) assets and subtracts liabilities like the Treasury General Account (TGA) and Reverse Repo Facility (RRP), combined with asset positions from the ECB, BOJ, PBC, BOE, and over 10 other central banks. All data is normalized into USD using FX rates.
Adaptive Normalization:
Optimizes the lookback period dynamically based on rate-of-change stability—no fixed lengths, enabling adaptation across macro conditions.
Self-Optimizing Weighting:
Applies inverse standard deviation to balance raw liquidity, smoothed momentum (HMA), and standardized deviation from the mean.
Percentile-Ranked Highlights:
Liquidity readings are ranked relative to history—extremes are visually emphasized using gradient color and adaptive transparency.
Non-Repainting Design:
Data is anchored with bar index awareness and offset techniques, ensuring no forward-looking bias. What you see is what was known at that time.
⚠️ Important Interpretation Note:
This is not a zero-centered oscillator like RSI or MACD. The signal line does not represent neutrality at zero.
Instead, a dynamic baseline is calculated using a rolling mean of scaled liquidity.
0 is irrelevant on its own—true directional signals come from crosses above or below this adaptive baseline.
Even negative values may signal strength if they are rising above the moving average of past liquidity conditions.
✅ What to Watch For:
Crossover Above Dynamic Baseline:
Indicates liquidity is expanding relative to recent conditions—supports a risk-on interpretation.
Crossover Below Dynamic Baseline:
Suggests deteriorating liquidity conditions—may align with risk-off shifts.
Percentile Extremes:
Readings near the top or bottom historical percentiles can act as contrarian or confirmation signals, depending on momentum.
⚙️ How It Works:
Bounded Normalization:
The final oscillator is passed through a tanh function, keeping values within and reducing distortion.
Adaptive Transparency:
The strength of deviations dynamically adjusts plot intensity—visually highlighting stronger liquidity shifts.
Fully Customizable:
Toggle which banks are included, adjust dynamic optimization ranges, and control visual display options for plot and background layers.
🧠 How to Use:
Trend Confirmation:
Sustained rises in the oscillator above baseline suggest underlying monetary support for asset prices.
Macro Turning Points:
Reversals or divergences, especially near OB/OS zones, can foreshadow broader risk regime changes.
Visual Context:
Use the dynamic baseline to see if liquidity is supportive or suppressive relative to its own adaptive history.
📌 Disclaimer:
This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always consult a qualified financial advisor before making trading or investment decisions.
Adaptive RSI Oscillator📌 Adaptive RSI Oscillator
This indicator transforms the classic RSI into a fully adaptive, self-optimizing oscillator — normalized between -1 and 1, dynamically smoothed, and enhanced with divergence detection.
🔧 Key Features
Self-Optimizing RSI: Automatically selects the optimal RSI lookback length based on return stability (no hardcoded periods).
Dynamic Smoothing: Adapts to market conditions using a fraction of the optimized length.
Normalized Output : Converts traditional RSI to a consistent scale across all assets and timeframes.
Divergence Detection: Compares RSI behavior vs. price percentile ranks and scales the signal accordingly.
Gradient Visualization: Color-coded background and plot lines reflect the strength and direction of the signal with soft transitions.
Neutral Zone Adaptation: Dynamically widens or narrows the zone of inaction based on volatility, reducing noise.
🎯 Use Cases
Identify extreme momentum zones without relying on fixed 70/30 RSI levels
Detect divergences early with adaptive filtering
Highlight potential exhaustion or continuation
⚠️ Disclaimer: This indicator is for informational and educational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security. Always conduct your own research and consult a licensed financial advisor before making investment decisions. Use at your own risk.
X-Day Capital Efficiency ScoreThis indicator helps identify the Most Profitable Movers for Your fixed Capital (ie, which assets offer the best average intraday profit potential for a fixed capital).
Unlike traditional volatility indicators (like ATR or % change), this script calculates how much real dollar profit you could have made each day over a custom lookback period — assuming you deployed your full capital into that ticker daily.
How it works:
Calculates the daily intraday range (high − low)
Filters for clean candles (where body > 60% of the candle range)
Assumes you invested the full amount of capital ($100K set as default) on each valid day
Computes an average daily profit score based on price action over the selected period (default set to 20 days)
Plots the score in dollars — higher = more efficient use of capital
Why It’s Useful:
Compare tickers based on real dollar return potential — not just % volatility
Spot low-priced, high-volatility stocks that are better suited for intraday or momentum trading
Inputs:
Capital ($): Amount you're hypothetically deploying (e.g., 100,000)
Look Back Period: Number of past days to average over (e.g., 20)
Haven Average Daily RangeOverview
This indicator is an enhanced version of the traditional ADR tool that adapts to intraday price movements. Unlike static ADR levels, this indicator dynamically adjusts its range boundaries based on real-time price action while maintaining the original ADR calculation framework.
Key Features
ADR calculation based on multiple periods (5, 10, and 20 days)
ADR levels displayed with automatic style changes upon range reach
Customizable display settings (color, line style)
Price labels for better visualization
The indicator helps traders assess the instrument's volatility, identify potential reversal zones, and plan daily trading targets.
Suitable for all timeframes up to D1 and any trading instrument.
How It Works
Session Start (UTC+0): Calculates ADR based on historical data and sets initial High/Low levels
Dynamic Phase: Monitors price action and adjusts the opposite boundary (ADR Low or High) when new extremes are reached.
When price creates new Day high price above the opening price, the ADR Low level moves upward proportionally.
When price creates new Day low price below the opening price, the ADR High level moves downward proportionally.
Completion Phase: Stops adjustments and highlights breach when price reaches either boundary
Trading Application
Entry and Exit Signals
The ADR boundaries serve as key decision points for trade execution. When price approaches the upper ADR boundary, it often signals a potential selling zone, particularly when confluence exists with other overbought indicators such as RSI divergence or resistance levels. Conversely, price reaching the lower ADR boundary frequently indicates potential buying opportunities, especially when supported by oversold conditions or support confluences.
Trend Continuation Assessment
One of the most valuable applications is gauging the probability of continued directional movement. When the current session's price action has not yet reached either ADR boundary, statistical probability favors trend continuation in the established direction. This information helps traders stay with profitable positions longer rather than exiting prematurely.
Reversal and Consolidation Zones
The visual color change to orange when ADR boundaries are reached provides immediate feedback that the normal daily range has been exhausted. At this point, the probability of trend reversal or sideways consolidation increases significantly. This signal helps traders prepare for potential position adjustments or new counter-trend opportunities.
[Smith] VWAP Deviation + VWAP Deviation +
Short Description:
Advanced VWAP indicator with deviation bands, smart signal filtering, and session-based performance tracking. Features log-space scaling, RSI confirmation, volume filters, and market regime detection.
Full Description:
The VWAP Deviation + is a comprehensive trading indicator that combines Volume Weighted Average Price (VWAP) analysis with advanced signal filtering to identify high-probability trade opportunities. This indicator goes beyond basic VWAP by incorporating multiple confirmation layers and intelligent market analysis.
🎯 Key Features
Core VWAP Analysis:
- Custom volume-weighted mean calculation with deviation bands (2σ and 3σ)
- Optional log-space scaling for proportional price movements
- Real-time VWAP line with customizable visibility
Smart Signal Detection:
- RSI confirmation for all trade signals
- Volume filter requiring above-average trading activity
- Market regime detection (trending vs ranging markets)
- Optional RSI divergence analysis
Advanced Filtering:
- Multi-condition signal validation
- Session-based performance tracking (Asian, London, NY)
- Real-time win rate calculation
- Strong vs regular signal classification
Visual Features:
- Clean, professional interface with customizable colors
- Optional signal shapes and annotations
- Performance statistics table
- Filled deviation bands for easy visualization
📊 How It Works
The indicator identifies trade opportunities when:
1. Price touches VWAP deviation bands (2σ or 3σ)
2. RSI confirms oversold/overbought conditions
3. Volume exceeds the specified threshold
4. Market regime conditions are favorable
Signal Types:
- LONG : Price at lower bands + RSI oversold + volume confirmation
- SHORT : Price at upper bands + RSI overbought + volume confirmation
- STRONG : Same conditions but at 3σ bands for higher conviction trades
⚙️ Customization Options
Core Settings:
- VWAP length and source selection
- Adjustable deviation multipliers
- Log-space scaling toggle
Signal Filters:
- RSI length and threshold levels
- Volume filter with customizable multiplier
- Market type filtering options
Advanced Features:
- Session statistics tracking
- RSI divergence detection
- Market regime analysis
Visual Controls:
- Show/hide individual components
- Custom color schemes
- Signal display toggles
🔔 Alert System
Built-in alerts for:
- Long and short trade opportunities
- Strong signal confirmations
- RSI divergence signals
💡 Best Practices
- Use higher timeframes (15m+) for more reliable signals
- Combine with additional confirmation indicators
- Pay attention to session statistics for timing optimization
- Monitor market regime indicators for context
This indicator is suitable for day traders, swing traders, and anyone looking to improve their VWAP-based trading strategies with advanced filtering and market analysis.
Adaptive Signal Oscillator (ASO)📘 Adaptive Signal Oscillator (ASO)
A fully dynamic, self-calibrating oscillator that adapts to any asset or timeframe by optimizing for real-time signal stability and volatility structure — without relying on static parameters or hardcoded thresholds.
🔍 Overview
The Adaptive Signal Oscillator (ASO) is a next-generation technical analysis tool designed to provide context-aware long/short signals across crypto, equities, or forex markets. Unlike traditional oscillators (RSI, Stochastics, MACD), ASO requires no manual tuning of lookback periods or overbought/oversold zones — it self-optimizes based on current market behavior.
🧠 How It Works
✅ 1. Dynamic Lookback Optimization
ASO evaluates a range of lookback lengths between user-defined minLen and maxLen. For each length, it calculates the standard deviation of returns and finds the one with the least volatility change (i.e., the most stable structure). This length is dynamically assigned as bestLen, recalculated on every bar.
✅ 2. Multi-Layer Signal Composition
Four independent signal layers are computed using bestLen:
RSI Layer: Measures relative price strength via a custom dynamic RSI.
Z-Score Layer: Standardized deviation of price from its mean.
Volatility Layer: Standard deviation of log or percent returns.
Price Position Layer: Current price percentile within the lookback window.
Each of these layers is transformed into a percentile score scaled to the range .
✅ 3. Volatility-Based Weighting
The standard deviation (volatility) of each signal layer is computed. Less volatile layers are weighted more heavily, ensuring the final composite signal prioritizes stable, consistent inputs.
Weights are normalized and combined to form a composite score, representing a dynamically blended, noise-weighted signal across the four layers.
✅ 4. Optional Adaptive Smoothing
A boolean toggle lets users apply smoothing to the final score. The smoothing window scales proportionally to bestLen, preserving adaptiveness even during trend transitions.
✅ 5. Percentile-Based Thresholding
Rather than using arbitrary fixed thresholds, ASO converts the composite score into a ranked percentile. Long/short signals are then generated based on user-defined percentile bands, adapting naturally to each asset’s behavior.
📈 Interpreting ASO
Score > Threshold → Strong long signal (highlighted in aqua).
Score < Threshold → Strong short signal (highlighted in fuchsia).
Crossing h_thresh (e.g., 0) → Neutral-to-bias change; useful for early trend cues.
The background and label update in real time to reflect the current regime and bestLen.
⚙️ Inputs
minLen, maxLen, step: Define the search range for optimal lookback length.
retMethod: Choose between log or percent return calculations.
threshHigh, threshLow: Define signal zones using percentiles.
smooth: Enable dynamic score smoothing.
h_thresh: Midline crossover zone for directional context.
⚠️ Disclaimer
This tool is designed for exploratory and educational purposes only. It does not offer financial advice or trading recommendations. Past performance is not indicative of future results.
Always consult a licensed financial advisor before making investment decisions.
OBV with MA & Bollinger Bands by Marius1032OBV with MA & Bollinger Bands by Marius1032
This script adds customizable moving averages and Bollinger Bands to the classic OBV (On Balance Volume) indicator. It helps identify volume-driven momentum and trend strength.
Features:
OBV-based trend tracking
Optional smoothing: SMA, EMA, RMA, WMA, VWMA
Optional Bollinger Bands with SMA
Potential Combinations and Trading Strategies:
Breakouts: Look for price breakouts from the Bollinger Bands, and confirm with a rising OBV for an uptrend or falling OBV for a downtrend.
Trend Reversals: When the price touches a Bollinger Band, examine the OBV for divergence. A bullish divergence (price lower low, OBV higher low) near the lower band could signal a reversal.
Volume Confirmation: Use OBV to confirm the strength of the trend indicated by Bollinger Bands. For example, if the BBs indicate an uptrend and OBV is also rising, it reinforces the bullish signal.
1. On-Balance Volume (OBV):
Purpose: OBV is a momentum indicator that uses volume flow to predict price movements.
Calculation: Volume is added on up days and subtracted on down days.
Interpretation: Rising OBV suggests potential upward price movement. Falling OBV suggests potential lower prices.
Divergence: Divergence between OBV and price can signal potential trend reversals.
2. Moving Average (MA):
Purpose: Moving Averages smooth price fluctuations and help identify trends.
Combination with OBV: Pairing OBV with MAs helps confirm trends and identify potential reversals. A crossover of the OBV line and its MA can signal a trend reversal or continuation.
3. Bollinger Bands (BB):
Purpose: BBs measure market volatility and help identify potential breakouts and trend reversals.
Structure: They consist of a moving average (typically 20-period) and two standard deviation bands.
Combination with OBV: Combining BBs with OBV allows for a multifaceted approach to market analysis. For example, a stock hitting the lower BB with a rising OBV could indicate accumulation and a potential upward reversal.
Created by: Marius1032
Flux Capacitor (FC)# Flux Capacitor
**A volume-weighted, outlier-resistant momentum oscillator designed to expose hidden directional pressure from institutional participants.**
---
### Why "Flux Capacitor"?
The name pays homage to the fictional energy core in *Back to the Future* — an invisible engine that powers movement. Similarly, this indicator detects whether price movement is being powered by real market participation (volume) or if it's coasting without conviction.
---
### Methodology
The Flux Capacitor fuses three statistical layers:
- **Normalized Momentum**: `(Close – Open) / ATR`
Controls for raw price size and volatility.
- **Volume Scaling**:
Amplifies the effect of price moves that occur with elevated volume.
- **Robust Normalization**:
- *Winsorization* caps outlier spikes.
- *MAD-Z scoring* normalizes the signal across assets (crypto, futures, stocks).
- This produces consistent scaling across timeframes and symbols.
The result is a smooth oscillator that reliably indicates **liquidity-backed momentum** — not just price movement.
---
### Signal Events
- **Divergence (D)**: Price makes higher highs or lower lows, but Flux does not.
- **Absorption (A)**: Candle shows high volume and small body, while Flux opposes the candle direction — indicates smart money stepping in.
- **Compression (◆)**: High volume with low momentum — potential breakout zone.
- **Zero-Cross**: Indicates directional regime flip.
- **Flux Acceleration**: Histogram shows pressure rate of change.
- **Regime Background**: Color fades with weakening trend conviction.
All signals are color-coded and visually compact for easy pattern recognition.
---
### Interpreting Divergence & Absorption Correctly
Signal strength improves significantly when it appears **in the correct zone**:
#### Divergence:
| Signal | Zone | Meaning | Strength |
|--------|------------|------------------------------------------|--------------|
| Green D | Below 0 | Bullish reversal forming in weakness | **Strong** |
| Green D | Above 0 | Bullish, but less convincing | Moderate |
| Red D | Above 0 | Bearish reversal forming in strength | **Strong** |
| Red D | Below 0 | Bearish continuation — low warning value | Weak |
#### Absorption:
| Signal | Zone | Meaning | Strength |
|--------|------------|-----------------------------------------|--------------|
| Green A | Below 0 | Buyers absorbing panic-selling | **Strong** |
| Green A | Above 0 | Support continuation | Moderate |
| Red A | Above 0 | Sellers absorbing FOMO buying | **Strong** |
| Red A | Below 0 | Trend continuation — not actionable | Weak |
Look for **absorption or divergence signals in “enemy territory”** for the most actionable entries.
---
### Reducing Visual Footprint
If your chart shows a long line of numbers across the top of the Flux Capacitor pane (e.g. "FC 14 20 9 ... Bottom Right"), it’s due to TradingView’s *status line input display*.
**To fix this**:
Right-click the indicator pane → **Settings** → **Status Line** tab → uncheck “Show Indicator Arguments”.
This frees up vertical space so top-edge signals (like red `D` or yellow `◆`) remain visible and unobstructed.
---
### Features
- Original MAD-Z based momentum design
- True volume-based divergence and absorption logic
- Built-in alerts for all signal types
- Works across timeframes (1-min to weekly)
- Minimalist, responsive layout
- 25+ customizable parameters
- No future leaks, no repainting
---
### Usage Scenarios
- **Trend confirmation**: Flux > 0 confirms bullish trend strength
- **Reversal detection**: Divergence or absorption in opposite territory = high-probability reversal
- **Breakout anticipation**: Compression signal inside range often precedes directional move
- **Momentum shifts**: Watch for zero-crosses + flux acceleration spikes
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### ⚠ Visual Note for BTC, ETH, Crude Oil & Futures
These high-priced or rapidly accelerating instruments can visually compress any linear oscillator. You may notice the Flux Capacitor’s line appears "flat" or muted on these assets — especially over long lookbacks.
> **This does not affect signal validity.** Divergence, absorption, and compression triggers still fire based on underlying logic — only the line’s amplitude appears reduced due to scaling constraints.
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### Disclaimer
This indicator is for educational purposes only. It is not trading advice. Past results do not guarantee future performance. Use in combination with your own risk management and analysis.
Multi-Volatility Adjusted Moving Average🎯 Core Concept
The Multi-Volatility Adjusted Moving Average (MVAMA) is an advanced technical indicator that creates an adaptive moving average with a built-in upward bias. Unlike traditional moving averages that simply follow price, this indicator adjusts upward based on market volatility, making it particularly useful for identifying dynamic resistance levels and trend strength.
🔧 How It Works
Key Principle: Upward Volatility Bias
Base Calculation: Starts with your chosen moving average (EMA, SMA, etc.)
Volatility Measurement: Calculates market volatility using one of 5 different methods
Upward Adjustment: Always adds volatility adjustment upward: Adaptive MA = Base MA + Volatility Adjustment
Dynamic Resistance: Creates a moving resistance level that adapts to market conditions
📊 5 Volatility Calculation Methods
1. Simple (High-Low Range)
Method: (High - Low) / Close × 100
Best For: Clean, straightforward volatility measurement
Use Case: General purpose, all market conditions
2. Parkinson (Range-Based Log Volatility)
Method: √(ln(High/Low)²) with safety bounds
Best For: Intraday volatility without using open/close gaps
Use Case: Choppy markets, day trading
3. ATR (Average True Range)
Method: Traditional ATR as percentage of price
Best For: Handling gaps and limit moves
Use Case: Swing trading, gap-prone markets
4. Standard Deviation (Statistical)
Method: Standard deviation of price returns
Best For: Academic/statistical approach
Use Case: Backtesting, quantitative analysis
5. Garman-Klass (OHLC Optimized)
Method: 0.5×ln(H/L)² - (2ln2-1)×ln(C/O)²
Best For: Most comprehensive volatility using all OHLC data
Use Case: Professional trading, maximum accuracy
🎛️ 12 Moving Average Types
Fast & Responsive:
HMA (Hull): Minimal lag, very responsive
DEMA/TEMA: Double/Triple exponential for speed
WMA: Weighted for recent price emphasis
Balanced:
EMA: Classic exponential (default)
ALMA: Arnaud Legoux for balanced response
LSMA: Linear regression trend following
Smooth & Stable:
SMA: Simple moving average
SMMA/RMA: Smoothed for noise reduction
TRIMA: Triangular for maximum smoothness
VWMA: Volume-weighted for market participation
💡 Practical Applications
Trading Uses:
Dynamic Resistance: Acts as adaptive resistance level
Trend Strength: Higher volatility = stronger adjustment = more significant level
Entry Timing: Price touching the adaptive MA can signal rejection points
Risk Management: Volatility bands show market uncertainty
Market Analysis:
Low Volatility: Adaptive MA stays close to base MA (consolidation)
High Volatility: Adaptive MA moves significantly above base MA (trending/breakout)
Trend Confirmation: Sustained distance between price and adaptive MA shows trend strength
⚙️ Key Features
Risk Management:
Volatility Capping: Prevents extreme adjustments (default 15% max)
Safety Bounds: All calculations protected against infinite/NaN values
Parameter Limits: Sensible ranges for all inputs
Visualization Options:
Base MA Display: Show underlying moving average
Volatility Bands: Visual representation of volatility adjustment
Custom Colors: Professional color schemes
Clean Interface: Organized input groups
Professional Features:
Multi-timeframe Support: Works on any timeframe
Alert Framework: Ready-to-enable price crossover alerts
🎯 Ideal For:
Traders Who Want:
Dynamic support/resistance levels
Volatility-aware trend analysis
Adaptive position sizing based on market conditions
Professional-grade technical analysis tools
Market Conditions:
Trending Markets: Volatility creates meaningful resistance levels
Volatile Markets: Adaptive adjustment handles changing conditions
All Timeframes: From scalping to position trading
🔍 Unique Advantages:
Always Upward Bias: Unlike oscillating indicators, always provides clear directional bias
Multi-Volatility Support: Choose the best volatility method for your market/style
Comprehensive MA Library: 12 different moving average types
Built-in Risk Management: Prevents extreme values that break other indicators
Professional Implementation: Publication-ready code with proper documentation
This script transforms traditional moving averages into intelligent, volatility-aware tools that adapt to market conditions while maintaining a consistent upward bias for clear directional guidance.
ATR-Multiple from 50SMAThis indicator provides a nuanced view of price extension by calculating the distance between the current price and its 50-period Simple Moving Average. This distance is not measured in simple percentage terms but is quantified in multiples of the Average True Range (ATR), offering a volatility-adjusted perspective on how far an asset has moved from its mean.
The primary goal is to help traders identify potentially overextended conditions, which can often precede price consolidation or reversals. As a general guideline, when an asset's price stretches to multiples of 7 ATRs or more above its 50-day SMA, it often enters a zone where significant profit-taking may occur. By visualizing this extension, the indicator can serve as a powerful tool for gauging when to consider taking profits on existing long positions. Furthermore, it can act as a cautionary signal, helping traders avoid initiating new long positions in assets that are already significantly stretched and may be poised for a pullback.
Features
Volatility-Adjusted Extension
Measures the distance from the 50 SMA in terms of ATR multiples, providing a more standardized way to compare extension across different assets and time periods.
Daily Timeframe Consistency
By default, the indicator uses the daily SMA and ATR for its calculations, regardless of the chart's current timeframe. This ensures a consistent and meaningful measure of extension rooted in the daily trend.
Histogram Visualization
Displays the result as a clear histogram in a separate pane, making it easy to track the extension level over time and identify historical extremes.
Dynamic Color-Coding
The histogram bars are color-coded to visually highlight different levels of extension. The colors shift as the price moves further from the mean, providing an intuitive at-a-glance reading.
Key Threshold Markers
Includes pre-set horizontal lines at the 7 and 10 ATR multiples to clearly mark the zones of potential profit-taking and extreme extension, respectively.
Built-in Alerts
Comes with configurable alert conditions that can notify you when the price reaches the "profit-taking" threshold (7 ATRs) or the "extreme extension" threshold (10 ATRs).
Customization Options
MA & ATR Periods
You can adjust the length for the Simple Moving Average (default 50) and the Average True Range (default 14) to suit your specific analytical needs.
Timeframe Source
A toggle allows you to switch between always calculating using daily data (the default and recommended setting) or using the data from the current chart's timeframe.
Color Display Style
You can choose between a smooth color gradient that transitions elegantly with the extension level or a distinct, step-based color display for a clearer visual separation of the defined zones.
Full Color Scheme Control
Every visual element is fully customizable. You can change the colors for the regular extension, the "get ready," "profit-taking," and "extreme" levels, as well as the horizontal reference lines.
HOG Liquidity HunterHOG Liquidity Hunter – Pivot‑Based Liquidity Zones
📌 Overview
Plots dynamic support and resistance zones on swing pivots with an ATR‑based buffer. Anchored only when pivots are confirmed, the zones stay close to current price levels—ideal for spotting liquidity runs or traps.
🔧 How It Works
Detects swing highs and lows using ta.pivothigh() / ta.pivotlow() with a user‑defined lookback.
After a pivot is confirmed, calculates BSL/SSL zone = pivot ± (ATR * margin).
Zones update only on confirmed pivots—no repainting on open bars.
⚙️ Inputs
Lookback: bars to confirm pivots (e.g. 10–20).
ATR Margin Multiplier: buffer width (e.g. 1.25).
✅ Benefits
Structure‑focused: Zones align with real swing points.
Responsive yet stable: Tight ATR margin keeps zones precise, only updating on valid pivots.
Clean visuals: Two uncluttered zones—easy to interpret.
🛠 How to Use
Detect near‑zone bounce entries or exits on 4H/1D charts.
Combine with trend or volume indicators for stronger setups.
Use zones to identify potential stop‑run, liquidity re‑tests, or range turns.
⚠️ Notes & Disclaimers
Zones base off historical pivots; may lag until confirmed.
No future-looking data—relying entirely on closing bar confirmation.
Use alongside a complete trading framework; this is not a standalone signal.
