VXN Net VolumeThis indicator is based on other open source scripts. It displays net volume (buying minus selling) approximated from lower timeframe data, helping traders gauge buying/selling pressure.
It uses the CBOE Nasdaq Volatility Index (VXN) to color the chart background: green for low volatility (bullish) when VXN's short-term EMA is below its long-term SMA, and red for high volatility (bearish) when above.
The net volume color is not filtered by the VXN Index trend direction (background color). It’s highly recommended to align with the VXN Index trend direction when using net volume to confirm your entry. A red net volume with a red background or a green net volume with a green background provides a high-probability setup.
A moving average of net volume is optionally plotted as a blue area to highlight significant volume levels.
Enjoy this indicator? Consider a donation to support development! buymeacoffee.com
ボラティリティ
Extreme Zone Volume ProfileExtreme Zone Volume Profile (EZVP)
Originality & Innovation
The Extreme Zone Volume Profile (EZVP) revolutionizes traditional volume profile analysis by applying statistical zone classification to volume distribution. Unlike standard volume profiles that display raw volume data, EZVP segments the price range into statistically meaningful zones based on percentile thresholds, allowing traders to instantly identify where volume concentration suggests strong support/resistance versus areas of potential breakout.
Technical Methodology
Core Algorithm:
Distributes volume across user-defined bins (20-200) over a lookback period
Calculates volume-weighted price levels for each bin
Applies percentile-based zone classification to the price range (not volume ranking)
Zone B (extreme zones): Outer percentile tails representing potential rejection areas
Zone A (significant zones): Secondary percentile bands indicating strong interest levels
Center Zone: Bulk trading range where most price discovery occurs
Mathematical Foundation:
The script uses price-range percentiles rather than volume percentiles. If the total price range is divided into 100%, Zone B captures the extreme price tails (default 2.5% each end ≈ 2 standard deviations), Zone A captures the next significant bands (default 14% each ≈ 1 standard deviation), leaving the center for normal distribution trading.
Key Calculations:
POC (Point of Control): Price level with maximum volume accumulation
Volume-weighted mean price: Total volume × price / total volume
Median price: Geometric center of the price range
Rightward-projected bars: Volume bars extend forward from current time to avoid historical chart clutter
Trading Applications
Zone Interpretation:
Zone B (Red/Green): Extreme price levels where volume suggests strong rejection potential. Price reaching these zones often indicates overextension and possible reversal points.
Zone A (Orange/Teal): Significant support/resistance areas with substantial volume interest. These levels often act as intermediate targets or consolidation zones.
Center (Gray): Fair value area where most trading occurs. Price tends to return to this range during normal market conditions.
Strategic Usage:
Reversal Trading: Look for rejection signals when price enters Zone B areas
Breakout Confirmation: Volume expansion beyond Zone B boundaries suggests genuine breakouts
Support/Resistance: Zone A boundaries often provide reliable entry/exit levels
Mean Reversion: Price tends to gravitate toward the volume-weighted mean and POC lines
Unique Value Proposition
EZVP addresses three key limitations of traditional volume profiles:
Visual Clarity: Standard profiles can be cluttered and difficult to interpret quickly. EZVP's color-coded zones provide instant visual feedback about price significance.
Statistical Framework: Rather than relying on subjective interpretation of volume nodes, EZVP applies objective percentile-based classification, making support/resistance identification more systematic.
Forward-Looking Display: Rightward-projecting bars keep historical price action clean while maintaining current market structure visibility.
Configuration Guide
Lookback Period (10-1000): Controls the historical depth of volume calculation. Shorter periods for intraday scalping, longer for swing trading.
Number of Bins (20-200): Resolution of volume distribution. Higher values provide more granular analysis but may create noise on lower timeframes.
Zone Percentages:
Zone B: Extreme threshold (default 2.5% = ~2σ statistical significance)
Zone A: Significant threshold (default 14% = ~1σ statistical significance)
Visual Controls: Toggle individual elements (POC, median, mean, zone lines) to customize display complexity for your trading style.
Technical Requirements
Pine Script v6 compatible
Maximum bars back: 5000 (ensures sufficient historical data)
Maximum boxes: 500 (supports high-resolution bin counts)
Maximum lines: 50 (accommodates all zone and reference lines)
This indicator synthesizes volume profile theory with statistical zone analysis, providing a quantitative framework for identifying high-probability support/resistance levels based on volume distribution patterns rather than arbitrary price levels.
Volatility Forecast/*==============================================================================
Volatility Forecast — Publishable Documentation
Author: @BB_9791
License: Mozilla Public License 2.0
WHAT THIS INDICATOR SHOWS
- A daily volatility estimate in percent points, called sigma_day.
- A slow volatility anchor, the 10-year EMA of sigma_day.
- A blended volatility series in percent points:
sigma_blend = (1 − p) * sigma_day + p * EMA_10y(sigma_day)
where p is the Slow weight %, default 30.
- Optional annualization by multiplying by 16, this is a daily-to-annual
conversion used by Robert Carver in his writings.
METHODOLOGY, CREDIT
The estimator follows the approach popularized by Robert Carver
("Systematic Trading", "Advanced Futures Trading Strategies", blog qoppac).
Current daily volatility is computed as an exponentially weighted standard
deviation of daily percent returns, with alpha = 2 / (span + 1).
The slow leg is a long EMA of that volatility series, about 10 years.
The blend uses fixed weights. This keeps the slow leg meaningful through
large price level changes, since the blend is done in percent space first.
MATH DETAILS
Let r_t be daily percent return:
r_t = 100 * (Close_t / Close_{t−1} − 1)
EWMA mean and variance:
m_t = α * r_t + (1 − α) * m_{t−1}
v_t = α * (r_t − m_t)^2 + (1 − α) * v_{t−1}
where α = 2 / (span_current + 1)
Current daily sigma in percent points:
sigma_day = sqrt(v_t)
Slow leg:
sigma_10y = EMA(sigma_day, span_long)
Blend:
sigma_blend = (1 − p) * sigma_day + p * sigma_10y
Annualized option:
sigma_ann = 16 * sigma_blend
INPUTS
- Threshold (percent points): horizontal guide level on the chart.
- Short term span (days): EW stdev span for sigma_day.
- Long term span (days): EMA span for the slow leg, choose about 2500 for 10 years.
- Slow weight %: p in the blend.
- Annualize (x16): plot daily or annualized values.
- Show components: toggles Current and 10y EMA lines.
- The script uses the chart symbol by default.
PLOTS
- Blended σ% as the main line.
- Optional Current σ% and 10y EMA σ%.
- Editable horizontal threshold line in the same units as the plot
(percent points per day or per year).
- Optional EMA 9 and EMA 20 cloud on the blended series, green for uptrend
when EMA 9 is above EMA 20, red otherwise. Opacity is configurable.
HOW TO READ
- Values are percent points of movement per day when not annualized,
for example 1.2 means about 1.2% typical daily move.
- With annualize checked, values are percent points per year, for example 18
means about 18% annualized volatility.
- Use the threshold and the EMA cloud to mark high or low volatility regimes.
NOTES
- All calculations use daily data via request.security at the chart symbol.
- The blend is done in percent space, then optionally annualized, which avoids
bias from the price level.
- This script does not produce trading signals by itself, it is a risk and
regime indicator.
CREDITS
Volatility forecasting method and scaling convention credited to Robert Carver.
See his books and blog for background and parameter choices.
VERSION
v1.0 Initial public release.
==============================================================================*/
SMA MAD SuperTrend | OquantThe SMA MAD SuperTrend | Oquant is an trend-following indicator designed to help traders identify potential trend directions and reversals using a unique combination of a Simple Moving Average (SMA), Mean Absolute Deviation (MAD), and a SuperTrend mechanism. This script aims to provide clear visual signals for trend entries and exits, making it suitable for traders looking to capture trends.
This indicator innovatively combines the smoothing properties of an SMA with the volatility-adaptive qualities of MAD to create dynamic SuperTrend bands. Unlike traditional SuperTrend indicators that rely on Average True Range (ATR) for volatility, this script uses Mean Absolute Deviation(MAD) to measure the average absolute deviation from the mean price, providing a different perspective on price volatility. The result is a SuperTrend system that adapts to market conditions with a focus on price deviation, offering a unique tool for trend detection.
Components and Calculations
Simple Moving Average (SMA):
The SMA is a widely used indicator that calculates the average of a specified number of closing prices. It smooths price data to identify the overall trend direction. In this script, the SMA serves as the baseline for calculating dynamic upper and lower bands.
Mean Absolute Deviation (MAD):
MAD measures the average absolute deviation of the price from its mean. It quantifies volatility by calculating how far prices deviate from the mean price, offering an alternative to ATR.
SuperTrend Mechanism:
This SuperTrend indicator generates dynamic upper and lower bands around the Simple Moving Average (SMA) using mean absolute deviation as measure of volatility.
It tracks trend direction by comparing the close price to the bands:
If the price crosses above the upper band, the trend turns bullish, and the SuperTrend follows the lower band.
If the price crosses below the lower band, the trend turns bearish, and the SuperTrend follows the upper band.
The bands adjust based on their previous values, updating only when the price crosses a band or the band shifts in the correct direction, reducing false signals and ensuring stable trend detection.
How to Use the Indicator
Trend Signals:
Green Line: Indicates a bullish trend (price above the SuperTrend line).
Purple Line: Indicates a bearish trend (price below the SuperTrend line).
Bar and Candle Coloring: Bars and candles are colored green for bullish trends and purple for bearish trends, making it easy to visualize trend direction.
Filled Areas: The area between the price and the SuperTrend line is filled with transparent colors (green for bullish, purple for bearish) to highlight trend.
Inputs:
Source: Choose the price data for calculations.
SMA Length: Adjust the period for the SMA. Longer periods smooth the trend further.
MAD Length: Set the period for MAD calculation. Shorter periods make the MAD more sensitive.
Factor: Control the distance of the SuperTrend bands from the SMA. Higher values widen the bands, reducing sensitivity to price fluctuations.
Alerts:
The script includes alert conditions for trend changes:
SMA MAD SuperTrend Long: Triggered when the trend turns bullish.
SMA MAD SuperTrend Short: Triggered when the trend turns bearish.
Set up alerts in TradingView to receive notifications for these conditions.
Why Use This Script?
The SMA MAD SuperTrend | Oquant offers a fresh take on trend-following by integrating SMA as baseline and MAD for volatility measurement, providing an alternative to ATR-based SuperTrend indicators. Its clear visual signals, customizable inputs, and alert conditions make it versatile for traders of all levels.
⚠️ 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.
ATR Extension from Moving Average, with Robust Sigma Bands
# ATR Extension from Moving Average, with Robust Sigma Bands
**What it does**
This indicator measures how far price is from a selected moving average, expressed in **ATR multiples**, then overlays **robust sigma bands** around the long run central tendency of that extension. Positive values mean price is extended above the MA, negative values mean price is extended below the MA. The signal adapts to volatility through ATR, which makes comparisons consistent across symbols and regimes.
**Why it can help**
* Normalizes distance to an MA by ATR, which controls for changing volatility
* Uses the **bar’s extreme** against the MA, not just the close, so it captures true stretch
* Computes a **median** and **standard deviation** of the extension over a multi-year window, which yields simple, intuitive bands for trend and mean-reversion decisions
---
## Inputs
* **MA length**: default 50, options 200, 64, 50, 20, 9, 4, 3
* **MA timeframe**: Daily or Weekly. The MA is computed on the chosen higher timeframe through `request.security`.
* **MA type**: EMA or SMA
* **Years lookback**: 1 to 10 years, default 5. This sets the sample for the median and sigma calculation, `years * 365` bars.
* **Line width**: visual width of the plotted extension series
* **Table**: optional on-chart table that displays the current long run **median** and **sigma** of the extension, with selectable text size
**Fixed parameters in this release**
* **ATR length**: 20 on the daily timeframe
* **ATR type**: classic ATR. ADR percent is not enabled in this version.
---
## Plots and colors
* **Main plot**: “Extension from 50d EMA” by default. Value is in **ATR multiples**.
* **Reference lines**:
* `median` line, black dashed
* +2σ orange, +3σ red
* −2σ blue, −3σ green
---
## How it is calculated
1. **Moving average** on the selected higher timeframe: EMA or SMA of `close`.
2. **Extreme-based distance** from MA, as a percent of price:
* If `close > MA`, use `(high − MA) / close * 100`
* Else, use `(low − MA) / close * 100`
3. **ATR percent** on the daily timeframe: `ATR(20) / close * 100`
4. **ATR multiples**: extension percent divided by ATR percent
5. **Robust center and spread** over the chosen lookback window:
* Center: **median** of the ATR-multiple series
* Spread: **standard deviation** of that series
* Bands: center ± 1σ, 2σ, 3σ, with 2σ and 3σ drawn
This design yields an intuitive unit scale. A value of **+2.0** means price is about 2 ATR above the selected MA by the most stretched side of the current bar. A value of **−3.0** means roughly 3 ATR below.
---
## Practical use
* **Trend continuation**
* Sustained readings near or above **+1σ** together with a rising MA often signal healthy momentum.
* **Mean reversion**
* Spikes into **±2σ** or **±3σ** can identify stretched conditions for fade setups in range or late-trend environments.
* **Regime awareness**
* The **median** moves slowly. When median drifts positive for many months, the market spends more time extended above the MA, which often marks bullish regimes. The opposite applies in bearish regimes.
**Notes**
* The MA can be set to Weekly while ATR remains Daily. This is deliberate, it keeps the normalization stable for most symbols.
* On very short intraday charts, the extension remains meaningful since it references the session’s extreme against a higher-timeframe MA and a daily ATR.
* Symbols with short histories may not fill the lookback window. Bands will adapt as data accrues.
---
## Table overlay
Enable **Table → Show** to see:
* “ATR from \”
* Current **median** and **sigma** of the extension series for your lookback
---
## Recommended settings
* **Swing equities**: 50 EMA on Daily, 5 to 7 years
* **Index trend work**: 200 EMA on Daily, 10 years
* **Position trading**: 20 or 50 EMA on Weekly MA, 5 to 10 years
---
## Interpretation examples
* Reading **+2.7** with price above a rising 50 EMA, near prior highs
* Strong trend extension, consider pyramiding in trend systems or waiting for a pullback if you are a mean-reverter.
* Reading **−2.2** into multi-month support with flattening MA
* Stretch to the downside that often mean-reverts, size entries based on your system rules.
---
## Credits
The concept of measuring stretch from a moving average in ATR units has a rich community history. This implementation and its presentation draw on ideas popularized by **Jeff Sun**, **SugarTrader**, and **Steve D Jacobs**. Thanks to each for their contributions to ATR-based extension thinking.
---
## License
This script and description are distributed under **MPL-2.0**, consistent with the header in the source code.
---
## Changelog
* **v1.0**: Initial public release. Daily ATR normalization, EMA or SMA on D or W timeframe, robust median and sigma bands, optional table.
---
## Disclaimer
This tool is for educational use only. It is not financial advice. Always test on your own data and strategies, then manage risk accordingly.
Dynamic Chandelier Exit Trader [KedArc Quant])Dynamic Chandelier Exit Trader (DCET)
The Dynamic Chandelier Exit Trader (DCET) builds upon the classical Chandelier Exit indicator by combining volatility-based stop placement with risk-reward exit logic. It is designed to provide clear buy/sell flip signals, making it adaptable across multiple trading environments.
Market Suitability
The DCET is most effective under the following market conditions:
1. Trending Markets (Upward or Downward)
- Strong performance when price is in a clear directional trend.
- Buy signals align with uptrends, sell signals align with downtrends.
- Works well on stocks, forex pairs, and crypto during trending phases.
2. Breakout Environments:
- Captures moves when price breaks out of consolidations.
- ATR-based stop dynamically adjusts to volatility expansion.
- Effective for traders who like catching the first move after breakouts.
3. Sideways / Range-Bound Markets:
- DCET tends to generate more frequent flip signals in sideways conditions.
- May lead to whipsaws, but can still be used with reduced ATR length or by combining with a trend filter (e.g., moving average direction).
4. All Markets (with Adjustments):
- Works universally but requires tuning.
- In highly volatile markets (e.g., crypto), a higher ATR multiplier may reduce false signals.
- In stable, slower-moving markets (e.g., large-cap equities), smaller ATR multipliers improve responsiveness.
ORB with Golden Zone FIB targets, Any Timeframe by TenAMTraderDescription:
This indicator is designed to help traders identify key price levels using Fibonacci extensions and retracements based on the Opening Range Breakout (ORB). The levels are visualized as “Golden Zones”, which can serve as potential targets for trades.
Features:
Customizable ORB Timeframe: By default, the ORB is set from 9:30 AM to 9:45 AM EST, but any timeframe can be configured in the settings to fit your trading style.
Golden Zones as Targets: Fibonacci levels are intended to be used as potential profit-taking zones or areas to monitor for reversals, providing a structured framework for intraday and swing trading.
Adjustable Chart Settings: Color-coded levels make it easy to interpret at a glance, and all lines can be customized for personal preference.
Versatile Application: The indicator works across any timeframe, enabling traders to analyze both intraday and multi-day price action.
How to Use:
Ensure Regular Trading Hours (RTH) is enabled on your chart for accurate level calculation.
Observe price action near Golden Zones: a confirmed breakout may indicate continuation, while a pullback could signal a reversal opportunity.
Use the Golden Zones as reference targets for managing risk and planning exits.
Adjust the ORB timeframe and display settings to match your preferred trading style.
Legal Disclosure:
This indicator is provided for educational purposes only and is not financial advice. Trading carries a substantial risk of loss. Users should always perform their own analysis and consult a licensed financial professional before making any trading decisions. Past performance is not indicative of future results.
P/B Ratio (Per Share) vs Median + Bollinger Band- 📝 This indicator highlights potential buying opportunities by analyzing the Price-to-Book (P/B) ratio in relation to Bollinger Bands and its historical median.
- 🎯 The goal is to provide a visually intuitive signal for value-oriented entries, especially when valuation compression aligns with historical context.
- 💡 Vertical green shading is applied when the P/B ratio drops below the lower Bollinger Band, which is calculated directly from the P/B ratio itself — not price. This condition often signals the ticker may be oversold.
- 🟢 Lighter green appears when the ratio is below the lower band but above the median, suggesting a possible shorter-term entry with slightly more risk.
- 🟢 Darker green appears when the ratio is both below the lower band and below the median, pointing to a potentially stronger, longer-term value entry.
- ⚠️ This logic was tested using 1 and 2-day time frames. It may not be as helpful in longer time frames, as the financial data TradingView pulls in begins in Q4 2017.
- ⚠️ Note: This script relies on financial data availability through TradingView. It may not function properly with certain tickers — especially ETFs, IPOs, or thinly tracked assets — where P/S ratio data is missing or incomplete.
- ⚠️ This indicator will not guarantee successful results. Use in conjunction with other indicators and do your due diligence.
- 🤖 This script was iteratively refined with the help of AI to ensure clean logic, minimalist design, and actionable signal clarity.
- 📢 Idea is based on the script "Historical PE ratio vs median" by haribotagada
- 💬 Questions, feedback, or suggestions? Drop a comment — I’d love to hear how you’re using it or what you'd like to see changed.
ATR SL/TPStop Loss Finder ATR
A Stop Loss Finder ATR indicator is a dynamic risk management tool leveraging the Average True Range (ATR) to identify and track optimal stop-loss levels based on current market volatility.
A stop hunt indicator is a technical tool designed to identify potential instances where large market participants, often referred to as "smart money," deliberately move the price to trigger a large number of stop-loss orders, creating a temporary price distortion before reversing the trend. These indicators aim to help traders detect these events to either avoid being stopped out or to enter trades in the direction of the anticipated reversal.
For example, a long wick below support with high volume may signal a bullish stop-hunt , indicating that the price has been driven down to trigger sell-stop orders before reversing upward. Conversely, a long wick above resistance with high volume may signal a bearish stop-hunt , suggesting the price was pushed up to trigger buy-stop orders before reversing downward. The presence of such wicks is often associated with candlestick patterns like hammers or shooting stars.
Unlike fixed stop-losses, this indicator adapts its distance from the current price using a customizable ATR multiplier, ensuring that stop-loss levels are neither too tight (prone to being triggered by normal market noise) nor too wide (exposing capital to excessive risk) . The core function calculates the true range—considering the current high-low range, gaps up, and gaps down—over a user-defined period (typically 14 bars), then applies a multiplier to generate a volatility-adjusted stop-loss distance . This approach allows the indicator to dynamically widen stops during high-volatility periods and tighten them during calm markets, providing a more responsive and context-aware exit strategy.
BB Expansion Oscillator (BEXO)BB Expansion Oscillator (BEXO) is a custom indicator designed to measure and visualize the expansion and contraction phases of Bollinger Bands in a normalized way.
🔹 Core Features:
Normalized BB Width: Transforms Bollinger Band Width into a 0–100 scale for easier comparison across different timeframes and assets.
Signal Line: EMA-based smoothing line to detect trend direction shifts.
Histogram: Highlights expansion vs contraction momentum.
OB/OS Zones: Detects Over-Expansion and Over-Contraction states to spot potential volatility breakouts or squeezes.
Dynamic Coloring & Ribbon: Visual cues for trend bias and crossovers.
Info Table: Displays real-time values and status (Expansion, Contraction, Over-Expansion, Over-Contraction).
Background Highlighting: Optional visual aid for trend phases.
🔹 How to Use:
When BEXO rises above the Signal Line, the market is in an Expansion phase → potential trend continuation.
When BEXO falls below the Signal Line, the market is in a Contraction phase → potential consolidation or trend weakness.
Overbought/Over-Expansion zone (above OB level): Signals high volatility; watch for possible reversal or breakout exhaustion.
Oversold/Over-Contraction zone (below OS level): Indicates a squeeze or low volatility; often precedes strong breakout moves.
🔹 Best Application:
Identify volatility cycles (squeeze & expansion).
Filter trades by volatility conditions.
Combine with price action, volume, or momentum indicators for confirmation.
⚠️ Disclaimer:
This indicator is for educational and research purposes only. It should not be considered financial advice. Always combine with proper risk management and your own trading strategy.
Swing Z | Zillennial Technologies Inc.Swing Z by Zillennial Technologies Inc. is an advanced algorithmic framework built specifically for cryptocurrency markets. It integrates multiple layers of technical analysis into a single decision-support tool, generating buy and sell signals only when several independent confirmations align.
Core Concept
Swing Z fuses trend structure, momentum oscillators, volatility signals, and price action tools to capture high-probability trading opportunities in volatile crypto environments.
Trend Structure (EMA 9, 21, 50, 200)
Short-term EMAs (9 & 21) detect immediate momentum shifts.
Longer-term EMAs (50 & 200) define the broader trend and dynamic support/resistance.
Momentum & Confirmation Layer
RSI measures relative strength and market conditions.
MACD crossovers confirm momentum shifts and trend continuations.
Volatility & Market Pressure
TTM Squeeze highlights compression zones likely to precede breakouts.
Volume analysis confirms conviction behind directional moves.
VWAP (Volume Weighted Average Price) establishes intraday value zones and institutional benchmarks.
Price Action Filters
Fibonacci retracements are integrated to identify key reversal and continuation levels.
Signals are produced only when multiple conditions agree, reducing noise and improving reliability in fast-moving crypto markets.
Features
Tailored for cryptocurrency trading across major pairs (BTC, ETH, and altcoins).
Works effectively on swing and trend-based timeframes (1H–1D).
Combines trend, momentum, volatility, and price action into a single framework.
Generates clear Buy/Sell markers and integrates with TradingView alerts.
How to Use
Apply to a clean chart for the clearest visualization.
Use Swing Z as a swing trading tool, aligning entries with both trend structure and momentum confirmation.
Combine with your own stop-loss, take-profit, and position sizing rules.
Avoid application on non-standard chart types such as Renko, Heikin Ashi, or Point & Figure, which may distort results.
Disclaimer
Swing Z is designed as a decision-support tool, not financial advice.
All backtesting should use realistic risk, commission, and slippage assumptions.
Past results do not guarantee future performance.
Signals do not repaint but may adjust as new data develops in real-time.
Why Swing Z is original & useful:
Swing Z unifies EMA trend structure, RSI, MACD, TTM Squeeze, VWAP, Fibonacci retracements, and volume analysis into a single algorithmic framework. This multi-confirmation approach improves accuracy by requiring consensus across trend, momentum, volatility, and price action — a design made specifically for the challenges and volatility of cryptocurrency markets.
RSI Value Display (Corner)RSI in the right corner (red when is above 70 and below 30 - Green for the rest)
DBG X WOLONG
Overview
DBG X Wolong is a feature-rich Pine Script v5 indicator/strategy designed to provide a systematic, configurable approach to detecting trade opportunities and managing positions. This free edition combines trend detection, momentum confirmation, volatility sizing and an adaptive grid/TP system into a single workflow that is intended to add practical value beyond a simple indicator mashup
What makes this script original & useful
Integrated workflow (not a mere mashup): indicators are assigned clear roles in a pipeline — trend → momentum → volatility → scaling/exit — so their outputs interact deterministically to form signals.
Adaptive grid + ATR sizing: grid spacing and stop/TP levels adapt to market volatility via ATR, reducing arbitrary parameter dependence.
MA cloud & Braid filter: the multi-MA cloud (supporting many MA types) is used as a structural trend/range detector; the Braid filter suppresses noise and confirms stronger trend regimes.
Multi-timeframe dashboard: compact view of trend across many TFs to avoid single-TF false signals.
Conceptual workflow (how it works, high level)
Trend detection: SuperTrend + MA cloud determine the primary bias (bull/bear).
Momentum confirmation: RSI and MACD histogram confirm momentum direction or reversals.
Volatility sizing: ATR is used to calculate stop levels and to scale position sizing and grid spacing (higher ATR → wider stops & grid)
Signal gating / filter: Braid filter and multi-TF confirmation reduce false entries and ensure higher-probability setups..
Grid / TP engine: when a signal triggers, the system can scale into positions across predefined grid steps and compute TP1/TP2/TP3 based on measured move (VWAP/regression or pivot logic), with labels on chart.
Visual outputs: colorized candles, entry/stop/take labels, pullback marks and a configurable table/dashboards.
Key components & role (concise)
SuperTrend: primary trend filter and main signal trigger.
MA Cloud / Ribbon (many MA types available): structure, support/resistance, trend validation
Braid Filter: noise suppression and signal confirmation.
FRAMA / JMA / advanced MA routines: adaptive smoothing options for different market regimes.
ATR: volatility measure for dynamic stops and grid spacing.
TP Engine / Regression-VWAP logic: adaptive take profit placement and multi-level exits.
Dashboard / Multi-TF checks: present TF consensus to avoid contradictory signals.
How signals are generated (conceptual)
Primary buy: SuperTrend flips bullish + price above short SMA + braid filter confirms + multi-TF bias mostly bullish.
Primary sell: SuperTrend flips bearish + price below short SMA + braid filter confirms + multi-TF bias mostly bearish.
Reversal/pullback markers: RSI crossing thresholds with additional confirmations.
(Exact thresholds and gating are configurable in inputs.).
Inputs summary (important ones to show in the publish dialog)
Sensitivity (SuperTrend tuning): 1–20 (default 6)
MA cloud cycles & ribbon choices (8 cycle settings)
Braid filter type & strength (percent)
ATR length & ATR risk multiplier (for SL and sizing).
Dashboard: enable/position/size, show/hide signals, pullback toggles.
TP mode (pivot/regression), TP multiplier and lengths
Recommended usage & presets
Sensitivity (SuperTrend tuning): 1–20 (default 6)
MA cloud cycles & ribbon choices (8 cycle settings)
Braid filter type & strength (percent)
ATR length & ATR risk multiplier (for SL and sizing).
Dashboard: enable/position/size, show/hide signals, pullback toggles.
TP mode (pivot/regression), TP multiplier and lengths
Recommended usage & presets
Scalping: TF 1–5 minutes; sensitivity higher (8–12); use only SuperTrend + Braid filters; TP1 only.
Intraday: TF 15–60 minutes; sensitivity medium (6–8); use full grid with ATR-based stops.
Swing: TF H1–D1; sensitivity lower (4–6); enable full indicators and multi-TF confirmations.
Always backtest and demo-trade settings before using live.
Limitations & safeguards
Market conditions (thin liquidity, news) can still produce false signals; use multi-TF filter and turn off signals near major events.
This free edition is intended for learning; advanced/premium variants may include additional proprietary optimizations.
Not investment advice — use proper money management and test before trading real capital.
Backtesting & validation
Backtest over multiple symbols and regimes (trending vs ranging) to find robust settings..
Use the dashboard to visualize TF alignment and exclude signals when mismatch occurs.
Keep trade frequency reasonable to avoid overfitting small sample sets.
Publishing notes (for moderators/reviewers)
This description explains how indicators combine in a defined workflow and why each component is used; it demonstrates originality (adaptive grid + ATR-based sizing + MA cloud + Braid filter as a cohesive strategy), not just a superficial mashup.
The code exposes configurable inputs and visual outputs; the long description gives sufficient conceptual detail for users and moderators to evaluate the script without exposing proprietary implementation details.
Peak Reversal v3# Peak Reversal v3
## Summary
Peak Reversal v3 adds new configurability, clearer visuals, and a faster trader workflow. The release introduces a new Squeeze Detector , expanded Keltner Channels , and streamlined Momentum signals , with no repaints and improved performance. The menus have been reorganized and simplified. Color swatches have been added for better customization. All other colors will be derived from these swatches.
## Highlights
New Squeeze Detector to mark low-volatility periods and prepare for breakouts.
New: Bands are now fully configurable with independent MA length, ATR length, and multipliers.
Five moving average bases for bands: EMA (from v2), SMA, RMA, VMA, HMA.
Simplified color system: three swatches drive candles, on-chart marks, and band fill.
Reorganized menu with focused sections and tooltips for each parameter making the entire trader experience more intuitive.
No repaints and faster performance across calculations.
## Overview
Configuration : Pick from three color swatches and apply them to candles, plotted characters, and band fill for consistent chart context. Use the reorganized menu to reach Keltner settings, momentum signals, and squeeze detection without extra clicks; tooltips clarify each input.
Bands and averages: Choose the band basis from EMA, SMA, RMA, VMA, or HMA to match your strategy. Configure two bands independently by setting MA length, ATR length, and band multipliers for the inner and outer envelopes.
Signals : Select the band responsible for momentum signals. Choose wick or close as the price source for entries and exits. Control the window for extreme momentum with “Max Momentum Bars,” a setting now exposed in v3 for direct tuning.
Squeeze detection : The Squeeze Detector normalizes band width and uses percentile ranking to highlight volatility compression. When the market falls below a user-defined threshold, the indicator colors the region with a gradient to signal potential expansion.
## Details about major features and changes
### New
Squeeze Detector to highlight low-volatility conditions.
Five MA bases for bands: EMA, SMA, RMA, VMA, HMA.
“Max Momentum Bars” to cap the bars used for extreme momentum.
### Keltner channel improvements
Refactored Keltner settings for flexible inner and outer band control.
MA type selection added; band calculations updated for consistency.
Removed the third Keltner band to reduce noise and simplify setup.
### Display and signals
Gradient fills for band breakouts, mean deviations, and squeeze periods.
“Show Mean EMA?” set to true and default “Signal Band” set to “Inner.”
Clearer tooltips and input descriptions.
### Reliability and performance
No more repaints. The indicator waits for confirmation before drawing occurs.
Faster execution through targeted refactors.
All algorithms have been reviewed and now use a consistent logic, naming, and structure.
Advanced Range Analyzer ProAdvanced Range Analyzer Pro – Adaptive Range Detection & Breakout Forecasting
Overview
Advanced Range Analyzer Pro is a comprehensive trading tool designed to help traders identify consolidations, evaluate their strength, and forecast potential breakout direction. By combining volatility-adjusted thresholds, volume distribution analysis, and historical breakout behavior, the indicator builds an adaptive framework for navigating sideways price action. Instead of treating ranges as noise, this system transforms them into opportunities for mean reversion or breakout trading.
How It Works
The indicator continuously scans price action to identify active range environments. Ranges are defined by volatility compression, repeated boundary interactions, and clustering of volume near equilibrium. Once detected, the indicator assigns a strength score (0–100), which quantifies how well-defined and compressed the consolidation is.
Breakout probabilities are then calculated by factoring in:
Relative time spent near the upper vs. lower range boundaries
Historical breakout tendencies for similar structures
Volume distribution inside the range
Momentum alignment using auxiliary filters (RSI/MACD)
This creates a live probability forecast that updates as price evolves. The tool also supports range memory, allowing traders to analyze the last completed range after a breakout has occurred. A dynamic strength meter is displayed directly above each consolidation range, providing real-time insight into range compression and breakout potential.
Signals and Breakouts
Advanced Range Analyzer Pro includes a structured set of visual tools to highlight actionable conditions:
Range Zones – Gradient-filled boxes highlight active consolidations.
Strength Meter – A live score displayed in the dashboard quantifies compression.
Breakout Labels – Probability percentages show bias toward bullish or bearish continuation.
Breakout Highlights – When a breakout occurs, the range is marked with directional confirmation.
Dashboard Table – Displays current status, strength, live/last range mode, and probabilities.
These elements update in real time, ensuring that traders always see the current state of consolidation and breakout risk.
Interpretation
Range Strength : High scores (70–100) indicate strong consolidations likely to resolve explosively, while low scores suggest weak or choppy ranges prone to false signals.
Breakout Probability : Directional bias greater than 60% suggests meaningful breakout pressure. Equal probabilities indicate balanced compression, favoring mean-reversion strategies.
Market Context : Ranges aligned with higher timeframe trends often resolve in the dominant direction, while counter-trend ranges may lead to reversals or liquidity sweeps.
Volatility Insight : Tight ranges with low ATR imply imminent expansion; wide ranges signal extended consolidation or distribution phases.
Strategy Integration
Advanced Range Analyzer Pro can be applied across multiple trading styles:
Breakout Trading : Enter on probability shifts above 60% with confirmation of volume or momentum.
Mean Reversion : Trade inside ranges with high strength scores by fading boundaries and targeting equilibrium.
Trend Continuation : Focus on ranges that form mid-trend, anticipating continuation after consolidation.
Liquidity Sweeps : Use failed breakouts at boundaries to capture reversals.
Multi-Timeframe : Apply on higher timeframes to frame market context, then execute on lower timeframes.
Advanced Techniques
Combine with volume profiles to identify areas of institutional positioning within ranges.
Track sequences of strong consolidations for trend development or exhaustion signals.
Use breakout probability shifts in conjunction with order flow or momentum indicators to refine entries.
Monitor expanding/contracting range widths to anticipate volatility cycles.
Custom parameters allow fine-tuning sensitivity for different assets (crypto, forex, equities) and trading styles (scalping, intraday, swing).
Inputs and Customization
Range Detection Sensitivity : Controls how strictly ranges are defined.
Strength Score Settings : Adjust weighting of compression, volume, and breakout memory.
Probability Forecasting : Enable/disable directional bias and thresholds.
Gradient & Fill Options : Customize range visualization colors and opacity.
Dashboard Display : Toggle live vs last range, info table size, and position.
Breakout Highlighting : Choose border/zone emphasis on breakout events.
Why Use Advanced Range Analyzer Pro
This indicator provides a data-driven approach to trading consolidation phases, one of the most common yet underutilized market states. By quantifying range strength, mapping probability forecasts, and visually presenting risk zones, it transforms uncertainty into clarity.
Whether you’re trading breakouts, fading ranges, or mapping higher timeframe context, Advanced Range Analyzer Pro delivers a structured, adaptive framework that integrates seamlessly into multiple strategies.
AlphaFlow — Direcional ProThe AlphaFlow — Direcional Pro is a complete trading suite designed to give traders a clear, structured view of market direction, volatility, and momentum.
📌 Key Features:
Trend Detection with Dual EMAs: Fast and slow EMAs for directional bias, plus an optional 200 EMA filter for long-term context.
Volatility Regime Filter (ATR): Confirms market conditions by comparing current ATR with its average.
RSI Confirmation: Adaptive RSI filter to validate bullish and bearish regimes.
Directional Signals (BUY/SELL): Clear chart markers with bar coloring for instant trend visualization.
Swing Structure with Star Markers: Automatic detection of HH, HL, LH, LL swings, highlighted with color-coded ★ stars.
RSI Divergences: Automatic bullish/bearish divergence spotting for early trend reversal signals.
VWAP Levels: Daily, Weekly, and Anchored VWAP for institutional reference points.
Trade Management Tools: Automatic plotting of Entry, Stop-Loss, TP1, and TP2 levels, with optional trailing ATR stop.
Multi-Timeframe Support: Generate signals from a higher timeframe and confirm on chart close.
Alerts: Pre-configured alerts for entries, SL, TP1, TP2, and divergences.
✨ With its combination of trend, volatility, swing structure, and divergence analysis, AlphaFlow provides both short-term signals and long-term directional context — making it a versatile tool for intraday traders, swing traders, and investors.
Jarvis Bitcoin Predictor – Advanced AI-Powered TrendJarvis Bitcoin Predictor is an invite-only indicator designed to help traders anticipate market moves with precision.
It combines advanced momentum tracking, volatility analysis, and adaptive trend filters to highlight high-probability trading opportunities.
🔹 Core Features:
- AI-inspired algorithm for Bitcoin price prediction
- Early detection of bullish and bearish trend reversals
- Dynamic support & resistance zones
- Clear buy/sell signal markers
- Built-in alerts to never miss an opportunity
Optimized for Bitcoin, but compatible with other crypto pairs
🔹 How it works (general explanation):
The indicator uses a mix of momentum calculations, volatility filters, and adaptive trend detection to generate signals.
When several market conditions align, Jarvis provides clear entry/exit signals designed to improve decision-making and timing.
🔹 How to use it:
1- Add Jarvis Bitcoin Predictor to your chart.
2- Follow the green signals/zones for bullish opportunities.
3- Follow the red signals/zones for bearish opportunities.
4- Combine with proper risk management and your own strategy.
This tool was built to give traders clarity and confidence in the fast-paced crypto market.
⚠️ Important:
This script is invite-only. To request access, please contact the author directly.
AnalistAnka FlowScore Pro (v8.2)AnalistAnka FlowScore Pro – User Guide (EN)
1) What it is
AnalistAnka FlowScore Pro aggregates money flow into a single scale.
Components:
SMF-Z: Z-score of (log return × volume)
OBV-Z: Z-score of OBV (cumulative volume flow)
MFI-Z (optional): Z-score of Money Flow Index
Combined into FlowScore, then smoothed by EMA.
Core signal:
FlowScore > +0.5 → strong long bias
FlowScore < −0.5 → strong short bias
Optional HTF EMA filter keeps you trading with the higher-timeframe trend.
2) Inputs (summary)
FlowScore & Signal: wSMF, wOBV, wMFI, smoothFS, enterBand, exitBand, cooldownBars
HTF Filter: useHTF, htf (e.g., 60/240/1D), htfEmaLen (default 200)
MFI: useMfi, mfiLen, mfiSmooth, mfiZwin
Spike: spWin, spK (σ threshold), minVolPct (volume MA threshold)
Fills: fillSMF, fillOBV with separate positive/negative colors
Divergences: showDiv, divLeft/right, divShowLines, divShowLabels, colors
3) How to read
A) FlowScore (primary)
Long setup: FlowScore crosses above enterBand (+)
Short setup: FlowScore crosses below −exitBand
Hysteresis (±bands) reduces whipsaws; cooldown throttles repeats.
B) HTF trend filter (recommended)
With useHTF=true: only longs above HTF EMA, only shorts below it.
Example: trade 15-min, filter with 1-hour EMA200.
C) Spike IN/OUT (confirmation)
Detects statistical surges in OBV derivative plus volume threshold.
Use as confirmation, not as a standalone trigger.
D) Divergence (pivot-based)
Bearish: price HH while FlowScore prints LH
Bullish: price LL while FlowScore prints HL
Tune pivots via divLeft/right; toggle lines/labels in the panel.
4) Timeframes & suggested presets
Profile Chart HTF (Filter) Band (±) Cooldown Notes
Scalp 1–5m 15–60m 0.7 5–8 Fewer, cleaner signals
Intraday 5–15m 60–240m 0.5 8–12 Solid default
Swing 1–4h 1D 0.4 12–20 Patient entries
Daily usage:
On a daily chart, nothing extra is needed.
On intraday but want daily filter → set htf=1D.
5) Example playbook
Long:
useHTF=true and price above HTF EMA
FlowScore crosses above +band
Optional confirmations: recent Spike IN, SMF-Z & OBV-Z aligned positive
Stop: below last swing low or ATR(14)×1.5
Exit: partial on FlowScore below 0; full on below −band or at 1R/2R
Short: mirror logic (below HTF EMA, break under −band, Spike OUT, etc.).
6) Alerts
FlowScore LONG / SHORT → immediate signal notification
Spike IN / OUT → money-in/out warnings
7) Tips
Too many signals → widen bands (0.6–0.7), increase cooldown, raise smoothFS (6–9).
Too slow → lower smoothFS (3–4), reduce bands to 0.4–0.5.
Thin liquidity → reduce minVolPct, also reduce position size.
Best reliability when SMF-Z & OBV-Z share the same polarity.
8) Disclaimer
For educational purposes only. Not financial advice. Always apply risk management.
Balanced Price Range (BPR) DetectorBALANCED PRICE RANGE (BPR) DETECTOR
This indicator detects Balanced Price Ranges (BPR) by analyzing the overlap between bullish and bearish Fair Value Gaps (FVG). BPR zones represent areas where opposing market forces create equilibrium, often acting as strong support/resistance levels.
KEY FEATURES:
- Automatic detection of overlapping FVGs to form BPR zones
- Confidence scoring system (0-100%) based on overlap ratio, size, volume, and symmetry
- Customizable filters (ATR, Volume)
- Real-time mitigation tracking
- Alert system for new BPRs, mitigations, and rejections
- Visual customization options
HOW IT WORKS:
The indicator continuously scans for Fair Value Gaps in both directions. When a bullish FVG overlaps with a bearish FVG within the specified lookback period, a BPR zone is created. The confidence score helps traders identify the strongest zones.
USAGE:
- High confidence BPRs (>75%) often act as strong reversal zones
- Use for entry/exit points when price approaches BPR zones
- Combine with other indicators for confirmation
- Monitor touch counts for zone strength validation
SETTINGS:
- Lookback Bars: Number of bars to search for overlapping FVGs
- Min Overlap Ratio: Minimum overlap percentage required
- ATR/Volume Filters: Filter out weak or low-volume BPRs
- Display Options: Customize visual appearance
- Mitigation Type: Choose between wick or close-based mitigation
Perfect for traders using price action, supply/demand zones, or institutional order flow concepts.
SMC Suite – OB • Breaker • Liquidity Sweep • FVGSMC Suite — Order Blocks • Breaker • Liquidity Sweep • FVG
What it does:
Maps institutional SMC structure (OB → Breaker flips, Liquidity Sweeps, and 3-bar FVGs) and alerts when price retests those zones with optional r ejection-wick confirmation .
Why this isn’t “just a mashup”?
This tool implements a specific interaction between four classic SMC concepts instead of only plotting them side-by-side:
1. OB → Breaker Flip (automated): When price invalidates an Order Block (OB), the script converts that zone into a Breaker of opposite bias (bullish ⇄ bearish), extends it, and uses it for retest signals.
2. Liquidity-Gated FVGs : Fair Value Gaps (3-bar imbalances) are optionally gated—they’re only drawn/used if a recent liquidity sweep occurred within a user-defined lookback.
3. Retest Engine with Rejection Filter : Entries are not whenever a zone prints. Signals fire only if price retests the zone, and (optionally) the candle shows a rejection wick ≥ X% of its range.
4. Signal Cooldown : Prevents spam by enforcing a minimum bar gap between consecutive signals.
These behaviors work together to catch the sequence many traders look for: sweep → impulse → OB/FVG → retest + rejection.
Concepts & exact rules
1) Impulsive move and swing structure
• A bar is “ impulsive ” when its range ≥ ATR × Impulsive Mult and it closes in the direction of the move.
• Swings use Pivot Length (lenSwing) on both sides (HH/LL detection). These HH/LLs are also used for sweep checks.
2) Order Blocks (OB)
• Bullish OB : last bearish candle body before an i mpulsive up-move that breaks the prior swing high . Zone = min(open, close) to low of that candle.
• Bearish OB : last bullish candle body before an impulsive down-move that breaks the prior swing low . Zone = high to max(open, close).
• Zones extend right for OB Forward Extend bars.
3) Breaker Blocks (automatic flip)
If price invalidates an OB (closes below a bullish OB’s low or above a bearish OB’s high), that OB flips into a Breaker of opposite bias:
• Invalidated bullish OB → Bearish Breaker (resistance).
• Invalidated bearish OB → Bullish Breaker (support).
Breakers get their own style/opacity and are used for separate Breaker Retest signals.
4) Liquidity Sweeps (decluttered)
• Bullish sweep : price takes prior high but closes back below it.
• Bearish sweep : price takes prior low but closes back above it.
Display can be tiny arrows (default), short non-extending lines, or hidden. Old marks auto-expire to keep the chart clean.
5) Fair Value Gaps (FVG, 3-bar)
• Bearish FVG : high < low and current high < low .
• Bullish FVG : low > high and current low > high .
• Optional gating: only create/use FVGs if a sweep occurred within ‘Recent sweep’ lookback.
6) Retest signals (what actually alerts)
A signal is true when price re-enters a zone and (optionally) the candle shows a rejection wick:
• OB Retest LONG/SHORT — same-direction retest of OB.
• Breaker LONG/SHORT — opposite-direction retest of flipped breaker.
• FVG LONG/SHORT — touch/fill of FVG with rejection.
You can require a wick ratio (e.g., bottom wick ≥ 60% of range for longs; top wick for shorts). A cooldown prevents back-to-back alerts.
How to use
1. Pick timeframe/market : Works on any symbol/TF. Many use 15m–4h intraday and 1D swing.
2. *Tune Pivot Length & Impulsive Mult:
• Smaller = more zones and quicker flips; larger = fewer but stronger.
3. Decide whether to gate FVGs with sweeps : Turn on “Require prior Liquidity Sweep” to focus on post-liquidity setups.
4. Set wick filter : Start with 0.6 (60%) for cleaner signals; lower it if too strict.
5. Style : Use the Style / Zones & Style / Breakers groups to set colors & opacity for OB, Breakers, FVGs.
6. Alerts : Add alerts on any of:
• OB Retest LONG/SHORT
• Breaker LONG/SHORT
• FVG LONG/SHORT
Choose “Once per bar close” to avoid intrabar noise.
Inputs (key)
• Swing Pivot Length — swing sensitivity for HH/LL and sweeps.
• Impulsive Move (ATR ×) — defines the impulse that validates OBs.
• OB/FVG Forward Extend — how long zones project.
• Require prior Liquidity Sweep — gate FVG creation/usage.
• Rejection Wick ≥ % — confirmation filter for retests.
• Signal Cooldown (bars) — throttles repeated alerts.
• Display options for sweep marks — arrows vs short lines vs hidden.
• Full color/opacity controls — independent palettes for OB, Breakers, and FVGs (fills & borders).
What’s original here
• Automatic OB → Breaker conversion with separate retest logic.
• Liquidity-conditioned FVGs (FVGs can be required to follow a recent sweep).
• Unified retest engine with wick-ratio confirmation + cooldown.
• Decluttered liquidity visualization (caps, expiry, and non-extending lines).
• Complete styling controls for zone types (fills & borders), plus matching signal label colors.
🔹 Notes
• This script is invite-only.
• It is designed for educational and discretionary trading use, not as an autotrader.
• No performance guarantees are implied — always test on multiple markets and timeframes.
AlgoFlex Buy Sell Signal (1h only)
**Overview**
AlgoFlex Scalper plots buy/sell signal markers using:
* a range filter (EMA of absolute bar changes) to define short-term bias,
* an Adaptive Moving Average (AMA) slope to confirm direction, and
* an ATR threshold to filter weak momentum.
Signals are evaluated on bar close to reduce intrabar noise. This is an indicator, not a strategy.
**How it works (concepts)**
* Range filter: smooths price with an EMA-based range measure and forms upper/lower bands.
* Trend state: counts consecutive movements of the filtered series (up/down counters) to avoid whipsaws.
* AMA + ATR gate: rising AMA with change > ATR \* atrMult can produce a long signal; falling AMA with change < -ATR \* atrMult can produce a short signal.
* TP/SL markers: projected using ATR multiples (tpMult, slMult). Visual guides only.
* Buy Signal, Sell Signal, plus optional TP/SL notifications. Designed to fire on bar close.
FMF15
The Traders Trend Dashboard (FMF15) is a comprehensive trend analysis tool designed to assist traders in making informed trading decisions across various markets and timeframes. Unlike conventional trend-following scripts,FMF15 goes beyond simple trend detection by incorporating
