VPSRVP Sovereign Reign (VPSR) - Advanced Volume Profile Analysis
A sophisticated volume analysis tool that provides deep insights into market participation and momentum through an intuitive visual interface. This indicator helps traders identify significant market moves, potential reversals, and institutional activity.
Key Features:
1. Smart Volume Analysis
• Dynamic volume profiling
• Institutional participation detection
• Abnormal volume identification
• Real-time momentum tracking
2. Advanced Visual System
• Color-coded volume bars
• Adaptive cloud formation
• Reversal pattern detection
• Fake-out warning system
Visual Components:
1. Volume Bars
• Green: Bullish pressure with normal volume
• Purple: Bearish pressure with normal volume
• White: Significant bullish participation
• Pink: Significant bearish participation
• Orange: High-probability reversal zones
2. Dynamic Cloud
• White Cloud: Bullish control zone
• Purple Cloud: Bearish control zone
• Cloud density indicates participation strength
• Adaptive to market conditions
Signal Interpretation:
1. Normal Market Conditions
• Green/Purple bars show directional pressure
• Cloud color indicates dominant force
• Cloud height shows average participation
2. Significant Events
• White/Pink bars signal major moves
• Orange bars highlight potential reversals
• Cloud expansion shows increasing activity
• Cloud contraction indicates consolidation
Customization Options:
• Volume MA Length: Smoothing factor
• Abnormal Volume Threshold: Sensitivity
• Cloud Display: Toggle visualization
• Color scheme optimization
Best Practices:
1. Multiple Timeframe Analysis
• Start with higher timeframes
• Confirm on lower timeframes
• Watch for confluence
2. Volume Analysis
• Compare to historical levels
• Monitor abnormal spikes
• Track participation trends
3. Trade Management
• Use as confirmation tool
• Wait for clear signals
• Monitor fake-out warnings
• Combine with price action
Trading Applications:
1. Trend Analysis
• Identify strong moves
• Spot weakening trends
• Detect consolidation
2. Reversal Detection
• Spot potential turning points
• Identify fake-outs
• Monitor institutional activity
3. Risk Management
• Volume-based position sizing
• Stop loss placement
• Profit target selection
The VP Sovereign Reign indicator excels at:
• Identifying significant market moves
• Detecting institutional participation
• Warning of potential reversals
• Highlighting fake-outs
• Providing clear market context
Risk Warning:
This indicator is designed as a technical analysis tool and should be used as part of a complete trading strategy. Past performance does not guarantee future results. Always employ proper risk management techniques.
Note: For optimal results, use in conjunction with price action analysis and other complementary indicators.
Volatilite
Bounty SeekerBounty Seeker - Advanced Market Structure & Order Block Detection
A sophisticated indicator that identifies high-probability reversal zones through the analysis of market structure, volume patterns, and institutional order blocks. This tool helps traders spot potential reversals and fake-outs with precision.
Core Components:
1. Pivot Detection System
• Smart pivot high/low identification
• Volume-enhanced confirmation
• RSI confluence validation
• Real-time market structure analysis
2. Order Block Detection
• Institutional buying/selling zones
• Historical support/resistance levels
• Smart volume threshold analysis
• Dynamic level adaptation
Signal Types:
1. Bull Pivots (White X)
• Strong volume confirmation
• RSI oversold conditions
• Price action validation
• Order block confluence
2. Bear Pivots (Purple X)
• Volume surge confirmation
• RSI overbought alignment
• Bearish price action
• Resistance zone validation
3. Fake Pivots (Orange X)
• Low volume warning signals
• Trap zone identification
• False breakout detection
• Risk management guide
Visual Elements:
• Dashed Lines: Order block zones
• White/Purple X's: Major pivot points
• Orange X's: Potential fake moves
• Dynamic support/resistance levels
Best Usage Practices:
• Most effective on 1H+ timeframes
• Focus on major market pairs
• Wait for complete signal formation
• Combine with trend direction
• Monitor volume confirmation
• Use proper position sizing
The indicator excels at:
1. Identifying potential reversal zones
2. Detecting institutional order blocks
3. Warning of potential fake moves
4. Providing clear entry/exit levels
5. Highlighting strong volume zones
Risk Management:
• Always wait for signal confirmation
• Use appropriate stop loss levels
• Consider multiple timeframe analysis
• Don't trade against major trends
• Monitor volume for validation
This indicator combines advanced market structure analysis with volume profiling to help traders identify high-probability trading opportunities while warning of potential traps and fake-outs.
Note: Past performance does not guarantee future results. Always use proper risk management techniques.
Aurora Flow Oscillator [QuantAlgo]The Aurora Flow Oscillator is an advanced momentum-based technical indicator designed to identify market direction, momentum shifts, and potential reversal zones using adaptive filtering techniques. It visualizes price momentum through a dynamic oscillator that quantifies trend strength and direction, helping traders and investors recognize momentum shifts and trading opportunities across various timeframes and asset class.
🟢 Technical Foundation
The Aurora Flow Oscillator employs a sophisticated mathematical approach with adaptive momentum filtering to analyze market conditions, including:
Price-Based Momentum Calculation: Calculates logarithmic price changes to measure the rate and magnitude of market movement
Adaptive Momentum Filtering: Applies an advanced filtering algorithm to smooth momentum calculations while preserving important signals
Acceleration Analysis: Incorporates momentum acceleration to identify shifts in market direction before they become obvious
Signal Normalization: Automatically scales the oscillator output to a range between -100 and 100 for consistent interpretation across different market conditions
The indicator processes price data through multiple filtering stages, applying mathematical principles including exponential smoothing with adaptive coefficients. This creates an oscillator that dynamically adjusts to market volatility while maintaining responsiveness to genuine trend changes.
🟢 Key Features & Signals
1. Momentum Flow and Extreme Zone Identification
The oscillator presents market momentum through an intuitive visual display that clearly indicates both direction and strength:
Above Zero: Indicates positive momentum and potential bullish conditions
Below Zero: Indicates negative momentum and potential bearish conditions
Slope Direction: The angle and direction of the oscillator provide immediate insight into momentum strength
Zero Line Crossings: Signal potential trend changes and new directional momentum
The indicator also identifies potential overbought and oversold market conditions through extreme zone markings:
Upper Zone (>50): Indicates strong bullish momentum that may be approaching exhaustion
Lower Zone (<-50): Indicates strong bearish momentum that may be approaching exhaustion
Extreme Boundaries (±95): Mark potentially unsustainable momentum levels where reversals become increasingly likely
These zones are displayed with gradient intensity that increases as the oscillator moves toward extremes, helping traders and investors:
→ Identify potential reversal zones
→ Determine appropriate entry and exit points
→ Gauge overall market sentiment strength
2. Customizable Trading Style Presets
The Aurora Flow Oscillator offers pre-configured settings for different trading approaches:
Default (80,150): Balanced configuration suitable for most trading and investing situations.
Scalping (5,80): Highly responsive settings for ultra-short-term trades. Generates frequent signals and catches quick price movements. Best for 1-15min charts when making many trades per day.
Day Trading (8,120): Optimized for intraday movements with faster response than default settings while maintaining reasonable signal quality. Ideal for 5-60min or 4h-12h timeframes.
Swing Trading (10,200): Designed for multi-day positions with stronger noise filtering. Focuses on capturing larger price swings while avoiding minor fluctuations. Works best on 1-4h and daily charts.
Position Trading (14,250): For longer-term position traders/investors seeking significant market trends. Reduces false signals by heavily filtering market noise. Ideal for daily or even weekly charts.
Trend Following (16,300): Maximum smoothing that prioritizes established directional movements over short-term fluctuations. Best used on daily and weekly charts, but can also be used for lower timeframe trading.
Countertrend (7,100): Tuned to detect potential reversals and exhaustion points in trends. More sensitive to momentum shifts than other presets. Effective on 15min-4h charts, as well as daily and weekly charts.
Each preset automatically adjusts internal parameters for optimal performance in the selected trading context, providing flexibility across different market approaches without requiring complex manual configuration.
🟢 Practical Usage Tips
1/ Trend Analysis and Interpretation
→ Direction Assessment: Evaluate the oscillator's position relative to zero to determine underlying momentum bias
→ Momentum Strength: Measure the oscillator's distance from zero within the -100 to +100 range to quantify momentum magnitude
→ Trend Consistency: Monitor the oscillator's path for sustained directional movement without frequent zero-line crossings
→ Reversal Detection: Watch for oscillator divergence from price and deceleration of movement when approaching extreme zones
2/ Signal Generation Strategies
Depending on your trading approach, multiple signal strategies can be employed:
Trend Following Signals:
Enter long positions when the oscillator crosses above zero
Enter short positions when the oscillator crosses below zero
Add to positions on pullbacks while maintaining the overall trend direction
Countertrend Signals:
Look for potential reversals when the oscillator reaches extreme zones (±95)
Enter contrary positions when momentum shows signs of exhaustion
Use oscillator divergence with price as additional confirmation
Momentum Shift Signals:
Enter positions when oscillator changes direction after establishing a trend
Exit positions when oscillator direction reverses against your position
Scale position size based on oscillator strength percentage
3/ Timeframe Optimization
The indicator can be effectively applied across different timeframes with these considerations:
Lower Timeframes (1-15min):
Use Scalping or Day Trading presets
Focus on quick momentum shifts and zero-line crossings
Be cautious of noise in extreme market conditions
Medium Timeframes (30min-4h):
Use Default or Swing Trading presets
Look for established trends and potential reversal zones
Combine with support/resistance analysis for entry/exit precision
Higher Timeframes (Daily+):
Use Position Trading or Trend Following presets
Focus on major trend identification and long-term positioning
Use extreme zones for position management rather than immediate reversals
🟢 Pro Tips
Price Momentum Period:
→ Lower values (5-7) increase sensitivity to minor price fluctuations but capture more market noise
→ Higher values (10-16) emphasize sustained momentum shifts at the cost of delayed response
→ Adjust based on your timeframe (lower for shorter timeframes, higher for longer timeframes)
Oscillator Filter Period:
→ Lower values (80-120) produce more frequent directional changes and earlier response to momentum shifts
→ Higher values (200-300) filter out shorter-term fluctuations to highlight dominant market cycles
→ Match to your typical holding period (shorter holding time = lower filter values)
Multi-Timeframe Analysis:
→ Compare oscillator readings across different timeframes for confluence
→ Look for alignment between higher and lower timeframe signals
→ Use higher timeframe for trend direction, lower for earlier entries
Volatility-Adaptive Trading:
→ Use oscillator strength to adjust position sizing (stronger = larger)
→ Consider reducing exposure when oscillator reaches extreme zones
→ Implement tighter stops during periods of oscillator acceleration
Combination Strategies:
→ Pair with volume indicators for confirmation of momentum shifts
→ Use with support/resistance levels for strategic entry and exit points
→ Combine with volatility indicators for comprehensive market context
Advanced Volatility Activator [AlgoFuego]🔵 Advanced Volatility Activator (AVA)
The Advanced Volatility Activator (AVA) is an innovative technical analysis indicator designed to help traders identify and react to market volatility.
By blending adaptive volatility metrics with a refined moving‑average algorithm, the indicator offers traders a dynamically responsive framework for trend identification.
🔸Dynamic Volatility Analysis
The indicator examines the high and low prices of each candle to evaluate market movements.
It categorizes price movements into different states (e.g., outside bars, inside bars, higher highs, lower lows) to provide insight into market conditions, then calculates price averages for bars that make a new high or low price.
This moving average serves as a baseline for volatility adjustments, aligning the tool with well-established technical indicators.
🔸 Customizable Sensitivity
Through the input, users can fine‑tune how responsive the moving average is to price fluctuations.
A higher sensitivity setting makes the moving average less responsive to rapid market changes, enabling the indicator to adapt to different market environments and trading styles.
🔸Integrated Multi-Timeframe Table
A distinctive feature of this indicator is its integrated table display, which provides a summary signal across multiple time frames.
This table serves as a quick reference guide for traders to compare market trends across different time periods.
This at‑a‑glance view empowers traders to confirm trend direction from intraday to higher‑timeframe perspectives without switching charts.
🔹 How It Works
1. Initial Setup
The indicator defines two baseline values: the current high and the current low.
These serve as reference points for all subsequent price comparisons and moving‑average calculations.
2. Volatility Smoothing
The indicator calculates the smoothed volatility range using an exponential moving average (EMA) of the absolute differences between successive prices.
This helps smooth out the erratic price movements of the simple moving average and improves the measurement of volatility.
3. Trend Probability Calculation
A Simple Moving Average (SMA) of the combined high‑low series is calculated.
That SMA is then compared against the smoothed volatility range from step 2 to estimate how likely it is that a genuine trend is forming.
4. Directional Counters
Two counters: bullish and bearish, track consecutive moves up or down.
Whichever counter increases more rapidly signals the prevailing market bias.
5. Drawing the Trend Line
Finally, the code generates a trend line that dynamically adapts to real‑time volatility.
The result is a clear, responsive visual that mirrors actual market behavior.
🔹 Visual & Table Customization
Color Coding
Upward and downward trends are easily distinguished by customizable color settings, enhancing visual clarity for decision-making.
Upward Movements
A lighter blue hue indicates an upward trend.
Downward Movements
An orange hue indicates a downward trend.
Candlestick Highlighting
The indicator plots candlesticks with the same trendline color so that the chart maintains a consistent visual theme, thus reinforcing the signal's clarity.
Table Configuration and Customization
This additional layer of information helps traders compare signals between different time horizons, which is essential for a comprehensive multi-timeframe strategy.
The code supports multiple user-defined timeframes (e.g., 15, 60, 240, and 480 minutes).
For each timeframe, the indicator queries the market data to determine if the signal is Bullish, Bearish, or No signal.
Visibility and Positioning
The table can be toggled on or off via a user input. Its position on the chart is also customizable, ranging from top-right to bottom-left, allowing flexibility based on personal chart layouts.
Color Settings
The table cells are populated with both the timeframe labels and the corresponding market signal text (e.g., "Bullish", "Bearish", "No signal"). Background colors for each signal cell change dynamically depending on the current state, making it easy for traders to assess market sentiment at a glance.
Users can adjust colors for the background, borders, and text of the table itself.
Moreover, specific colors are set to denote bullish signals (blue), bearish signals (orange), or no signal (default dark theme).
🔹 How to use
Before entering long trades, ensure that prices are above the Advanced Volatility Activator Line and the line indicates an upward movement.
🔹 Practical Benefits
Enhanced Market Awareness
By highlighting periods of low volatility, the indicator can serve as an early warning system for potential market reversals or breakouts.
The supplementary table offers a high-level overview of these signals across multiple timeframes, which aids in confirming trends or reversals.
Customizable and Versatile
Both the indicator and the table are highly customizable. Traders can fine-tune the sensitivity, adjust periods for the moving average, select color schemes, and choose their preferred timeframes, all allowing for a tool that adapts to various trading styles and market conditions.
Intuitive Visualization
The clearly defined color-coded trendline provides an immediate visual cue, making it easier for traders to interpret market trends at a glance.
Whether you are a short-term trader needing precise entry and exit points or a multi-timeframe analyst looking for broader trend confirmation, this indicator provides valuable insights on both a micro- and macro-level.
🔹 Disclosure
While this indicator is useful and ideally suited for active traders who require precise, customizable signals to navigate rapidly changing markets, it's critical to understand that past performance is not necessarily indicative of future results, and there are many more factors that go into being a profitable trader.
NexAlgo AI with Dynamic TP/SLThe NexAlgo Indicator combines a Gaussian kernel regression engine with adaptive volatility thresholds to generate clear, data‑driven trade signals and built‑in risk levels. It predicts the next bar’s price relative to a simple moving average, then measures the average deviation between actual and forecasted values to form dynamic bands. Breakouts beyond these bands, aligned with the prediction’s direction, produce buy or sell signals directly on your chart.
How It Works & What You’ll See
Kernel Regression Forecast: A rolling “lookback” window builds a Gaussian similarity matrix of recent prices. This matrix is used to project the next price, smoothing around a moving average.
Adaptive Volatility Bands: The indicator computes the mean absolute error between actual and predicted prices, multiplies it by your chosen volatility factor, and plots upper and lower bands.
Signal Triggers: When price closes above the upper band while the prediction is rising, a green “BUY” label appears; when price closes below the lower band as the forecast falls, a red “SELL” label is shown.
Automatic SL/TP Levels: After each signal, the script scans recent swing highs/lows and applies an ATR buffer. Stop‑loss is set conservatively at the more protective of these levels, while take‑profit is calculated by your reward‑to‑risk ratio and capped near the opposite swing extreme.
Customizable Inputs
Lookback Period & Smoothing: Adjust how many bars the regression and volatility calculations use, and tune the noise regularization to suit fast or slow markets.
Volatility Multiplier: Widen or tighten the adaptive bands to control signal frequency and confidence.
Swing Lookback & ATR Options: Define how far back the indicator searches for swing points, and choose between ATR calculation methods.
Reward‑to‑Risk Ratio: Set your preferred multiple of stop‑loss distance for take‑profit targets.
What Makes NexAlgo Different
Hybrid Statistical Approach: Unlike fixed‑period moving averages or standard regression, the Gaussian kernel adapts locally to evolving price patterns and regimes.
Self‑Adjusting Thresholds: Volatility bands derive from prediction errors—so they expand in choppy markets and contract in trending conditions.
Integrated Risk Controls: Automatically calculated stop‑loss and take‑profit levels remove manual guesswork, yet remain grounded in both ATR and price structure.
Trader‑Driven Flexibility: Every parameter—from lookback length to risk ratio—can be dialed in for scalping, swing trading, or longer‑term strategies.
Getting Started
• Apply NexAlgo to your preferred timeframe (5–15 min for intraday scalps, 1 h–4 h for swings, daily for position plays).
• Begin with default settings and gradually adjust lookback and smoothing to balance responsiveness versus noise.
• Experiment with volatility multipliers: tighten in strong trends, widen when markets churn.
• Backtest different ATR buffers and reward ratios to discover your ideal risk‑reward profile.
Exponential Trend [AlgoAlpha]OVERVIEW
This script plots an adaptive exponential trend system that initiates from a dynamic anchor and accelerates based on time and direction. Unlike standard moving averages or trailing stops, the trend line here doesn't follow price directly—it expands exponentially from a pivot determined by a modified Supertrend logic. The result is a non-linear trend curve that starts at a specific price level and accelerates outward, allowing traders to visually assess trend strength, persistence, and early-stage reversal points through both base and volatility-adjusted extensions.
CONCEPTS
This indicator builds on the idea that trend-following tools often need dynamic, non-static expansion to reflect real market behavior. It uses a simplified Supertrend mechanism to define directional context and anchor levels, then applies an exponential growth function to simulate trend acceleration over time. The exponential growth is unidirectional and resets only when the direction flips, preserving trend memory. This method helps avoid whipsaws and adds time-weighted confirmation to trends. A volatility buffer—derived from ATR and modifiable by a width multiplier—adds a second layer to indicate zones of risk around the main trend path.
FEATURES
Exponential Trend Logic : Once a directional anchor is set, the base trend line accelerates using an exponential formula tied to elapsed bars, making the trend stronger the longer it persists.
Volatility-Adjusted Extension : A secondary band is plotted above or below the base trend line, widened by ATR to visualize volatility zones, act as soft stop regions or as a better entry point (Dynamic Support/Resistance).
Color-Coded Visualization : Clear green/red base and extension lines with shaded fills indicate trend direction and confidence levels.
Signal Markers & Alerts : Triangle markers indicate confirmed trend reversals. Built-in alerts notify users of bullish or bearish direction changes in real-time.
USAGE
Use this script to identify strong trends early, visually measure their momentum over time, and determine safe areas for entries or exits. Start by adjusting the *Exponential Rate* to control how quickly the trend expands—the higher the rate, the more aggressive the curve. The *Initial Distance* sets how far the anchor band is placed from price initially, helping filter out noise. Increase the *Width Multiplier* to widen the volatility zone for more conservative entries or exits. When the price crosses above or below the base line, a new trend is assumed and the exponential projection restarts from the new anchor. The base trend and its extension both shift over time, but only reset on a confirmed reversal. This makes the tool especially useful for momentum continuation setups or trailing stop logic in trending markets.
Relative ATRThis indicator enhances the standard Average True Range (ATR) by providing context about current volatility relative to its recent historical average. It highlights periods where ATR is significantly higher or lower than its own recent norm.
UB Short Signal (10Y Yield Future Spike)"This indicator identifies short opportunities on UB futures based on inverse correlation with 10Y Yield Futures. A macro trading tool to be used with additional confirmations."
🎯 Indicator Strategy
This tool generates sell signals for Ultra Bond (UB) futures when:
The Micro 10-Year Yield Future shows an upward spike (> adjustable threshold)
Trading volume is significant (false signal filter)
Inverse correlation is confirmed (UB falls when 10Y rises)
⚙️ Parameters
Spike Threshold: Sensitivity adjustment (e.g., 0.08% for swing trading)
Minimum Volume: Default 100 (optimized for Micro 10Y contracts)
📊 Recent Backtest
06/15/2024: +0.10% spike → UB dropped -0.3% within 15 minutes
06/18/2024: Valid signal post-CPI release
⚠️ Disclaimer
Analytical tool only – not financial advice
Must be combined with proper risk management
Sigma-Level1-Sigma-Level Indicator (for 28 FX Pairs)
This TradingView indicator calculates and visualizes the 1-sigma price projection range for the current FX pair, based on implied volatility (IV) and a user-defined reference price.
🔧 User Inputs
1. Implied Volatility (IV) Selection
You can choose which volatility term to apply:
ON (Overnight)
1W (1 Week)
1M (1 Month)
Each currency pair uses manually entered IV values (in %), grouped by base currency (USD, EUR, GBP, etc.).
www.investing.com
2. Base Price Selection
You can define the price level used as the anchor for the sigma projection:
CurrentPrice — live market price
YesterdayClose — close of the previous day
LastHourClose — close of the last 1-hour candle
LastFriday — weekly close from last Friday
LastMonthClose — close of the previous monthly candle
LastYearClose — close of the previous yearly candle
These values are retrieved using the appropriate timeframe (D, W, M, 12M, or 60 for hourly).
📐 How the Calculation Works
The indicator calculates the 1σ range using this formula:
1σ Range = basePrice × (IV / √N) / 100
Where:
basePrice is the selected anchor price.
IV is the selected implied volatility for the current pair.
N is the number of periods per year, depending on the IV term:
√252 for ON (trading days)
√52 for 1W (weeks)
√12 for 1M (months)
The upper and lower bands are then:
1σ Up = basePrice + range
1σ Down = basePrice - range
These bands are plotted only during the current calendar week.
🖼️ Visual Output
Green Line: 1σ Upper Boundary
Red Line: 1σ Lower Boundary
Labels show the exact 1σ values at the most recent bar
⚠️ Disclaimer
This indicator is for informational and analytical purposes only. It does not constitute financial advice, a trading signal, or a guarantee of future performance. Always perform your own research and consult with a qualified financial advisor before making trading decisions.
TPO Block Szie HelperTPO Assistant Overview
The TPO Assistant is a tool designed to enhance the use of Time-Price Opportunity (TPO) charts by offering dynamic guidance on block size selection based on recent market volatility. It serves as a precision aid in adapting TPO structure to different market conditions, improving both clarity and usability of TPO-based analysis.
Key Functionality
By statistically analyzing the volatility of the past N days, the assistant calculates a recommended block size for the current ticker. This value can be manually entered into the official TPO indicator on TradingView, helping users align the chart resolution with the underlying market’s price behavior.
In markets where price movement elasticity varies significantly, a fixed block size may not offer sufficient resolution. This tool solves that problem by providing an adaptive estimate—guiding users in refining TPO segmentation and supporting better structural interpretations.
Use Cases
Volatility-aware block sizing: Automatically suggests a block size that reflects current market conditions.
TPO merge/split support: Helps refine how TPOs are grouped or separated, depending on market rhythm.
SP (Significant Point) estimation aid: Provides stronger context for defining key levels within the TPO framework.
Benefits
Precision alignment with market behavior: Enhances resolution of TPO charts to better reflect real-time volatility shifts.
Minimizes trial and error: Offers a quantitative starting point for block size decisions, reducing guesswork.
Adaptive and context-sensitive: Useful in both trending and ranging markets, with no need for constant manual adjustments.
Disclaimer
This tool is intended as an analytical aid only and does not constitute financial advice. Market volatility is inherently uncertain, and this assistant should be used in conjunction with a comprehensive trading strategy.
Filtered Stochastic MA🔴 Filtered Stochastic MA (FSM) 🔴
Filtered Stochastic MA (FSM) is an all‑in‑one overlay that combines an adaptive moving average, momentum analysis, and dual volatility bands to give you clear, actionable levels on any chart.
🔧 Core Components
Center MA with “Custom” Filters
Choose from familiar SMAs, EMAs, WMAs, HMAs, RMAs … or select “Custom 1” and “Custom 2” for two proprietary smoothing methods that react gracefully in both trends and chop.
Tune the length to match your style—from fast scalp MAs (10–20) to smoother swing MAs (50+).
Hidden Stochastic Momentum
A built‑in %K/%D oscillator runs quietly under the hood, helping the bands adapt to shifting momentum without cluttering your chart.
Dual SuperTrend‑Style Bands
Band 1 (standard multipliers) hugs the Center MA to mark early support/resistance.
Band 2 (double multipliers) creates a wider envelope for breakout thresholds and over‑extension signals.
Both fade or highlight based on market direction for instant visual cues.
⚙️ Key Settings
Setting Description
MA Type & Length Pick your smoothing style and period.
Stochastic Length Controls momentum sensitivity.
Band Multipliers ATR & StdDev factors for Band 1 (and ×2 for Band 2).
Color Controls Customize colors and opacity for each band and the MA.
Non‑Repainting Lock signals to the previous bar for extra safety.
📈 How to Trade with FSM
1. Trend‑Following Entries
Long when price pulls back toward Support Band 1 in an uptrend (price > Center MA and Support Band 1 is rising).
Short when price rallies into Resistance Band 1 in a downtrend (price < Center MA and Resistance Band 1 is falling).
Example: On a 15 min chart of EUR/USD, set MA = 20 EMA, ATR = 1, StdDev = 1. When price dips to the green Band 1 and then closes back above it, risk a long with stop just below the band.
2. Breakout & Exhaustion Plays
A decisive close above Resistance Band 2 signals a strong breakout. Look to ride the impulse or wait for a retest of Band 2 as support.
Conversely, a break below Support Band 2 can mark trend exhaustion or a reversal opportunity.
Example: On a 1 hour BTCUSD chart with MA = 50 (Custom 1), watch for candle closes beyond the outer fuchsia band—enter on a successful retest for better risk/reward.
3. Mean‑Reversion Scalp Setups
In range or low‑volatility conditions, price swings outside Band 1 often snap back toward the Center MA. Fade these extremes on fast timeframes (1–5 min).
Example: On a 5 min Apple stock chart, when the price spikes above Resistance Band 1 and fails to hold, short toward the Center MA for a quick scalp.
4. Momentum Confirmation
Use the hidden stochastic readings (via the Data Window or your own alerts) to confirm entries:
Favor long setups when momentum is rising.
Avoid shorts when momentum remains strong above 50, even if bands are touched.
FSM brings together smoothing, momentum, and volatility in a single, clean overlay. Adjust the “Custom” filters and band widths to match your market and timeframe, and use the examples above as a starting point to build your own high‑probability setups.
Add “Filtered Stochastic MA (FSM)” to your TradingView chart today and turn noisy data into precision entry and exit zones!
Caution:
This is an educational idea, past performance or what you see on a chart may not be repeatable behavior. Trade at your own risk.
Regards!
Money Flow Pulse💸 In markets where volatility is cheap and structure is noisy, what matters most isn’t just the move — it’s the effort behind it. Money Flow Pulse (MFP) offers a compact, color-coded readout of real-time conviction by scoring volume-weighted price action on a five-tier scale. It doesn’t try to predict reversals or validate trends. Instead, it reveals the quality of the move in progress: is it fading , driving , exhausting , or hollow ?
🎨 MFP draws from the traditional Money Flow Index (MFI), a volume-enhanced momentum oscillator, but transforms it into a modular “pressure readout” that fits seamlessly into any structural overlay. Rather than oscillating between extremes with little interpretive guidance, MFP discretizes the flow into clean, color-coded regimes ranging from strong inflow (+2) to strong outflow (–2). The result is a responsive diagnostic layer that complements, rather than competes with, tools like ATR and/or On-Balance Volume.
5️⃣ MFP uses a normalized MFI value smoothed over 13 periods and classified into a 5-tier readout of Volume-Driven Conviction :
🍆 Exhaustion Inflow — usually a top or blowoff; not strength, but overdrive (+2)
🥝 Active Inflow — supportive of trend continuation (+1)
🍋 Neutral — chop, coil, or fakeouts (0)
🍑 Selling Intent — weakening structure, possible fade setups (-1)
🍆 Exhaustion Outflow — often signals forced selling or accumulation traps (-2)
🎭 These tiers are not arbitrary. Each one is tuned to reflect real capital behavior across timeframes. For instance, while +1 may support continuation, +2 often precedes exhaustion — especially on the lower timeframes. Similarly, a –1 reading during a pullback suggests sell-side pressure is building, but a shift to –2 may mean capitulation is already underway. The difference between the two can define whether a move is tradable continuation or strategic exhaustion .
🌊 The MFI ROC (Rate of Change) feature can be toggled to become a volatility-aware pulse monitor beneath the derived MFI tier. Instead of scoring direction or structure, ROC reveals how fast conviction is changing — not just where it’s headed, but how hard it's accelerating or decaying. It measures the raw Δ between the current and previous MFI values, exposing bursts of energy, fading pressure, or transitional churn .
🎢 Visually, ROC appears as a low-opacity area fill, anchored to a shared lemon-yellow zero line. When the green swell rises, buying pressure is accelerating; when the red drops, flow is actively deteriorating. A subtle bump may signal early interest — while a steep wave hints at an emotional overreaction. The ROC value itself provides numeric insight alongside the raw MFI score. A reading of +3.50 implies strong upside momentum in the flow — often supporting trend ignition. A score of –6.00 suggests rapid deceleration or full exhaustion — often preceding reversals or failed breakouts.
・ MFI shows you where the flow is
・ ROC tells you how it’s behaving
😎 This blend reveals not just structure or intent — but also urgency . And in flow-based trading, urgency often precedes outcome.
🧩 Divergence isn’t delay — it’s disagreement . One of the most revealing features of MFP is how it exposes momentum dissonance — situations where price and flow part ways. These divergences often front-run pivots , traps , or velocity stalls . Unlike RSI-style divergence, which whispers of exhaustion, MFI divergence signals a breakdown in conviction. The structure may extend — but the effort isn’t there.
・ Price ▲ MFI ▼ → Effortless Markup : Often signals distribution or a grind into liquidity. Without rising MFI, the rally lacks true flow participation — a warning of fragility.
・ Price ▼ MFI ▲ → Absorption or Early Accumulation : Price breaks down, but money keeps flowing in — a hidden bid. Watch for MFI tier shifts or ROC bursts to confirm a reversal.
🏄♂️ These moments don’t require signal overlays or setup hunting. MFP narrates the imbalance. When price breaks structure but flow does not — or vice versa — you’re not seeing trend, you’re seeing disagreement, and that's where edge begins.
💤 MFP is especially effective on intraday charts where volume dislocations matter most. On the 1H or 15m chart, it helps distinguish between breakouts with conviction versus those lacking flow. On higher timeframes, its resolution softens — it becomes more of a drift indicator than a trigger device. That’s by design: MFP prioritizes pulse, not position. It’s not the fire, it’s the heat.
📎 Use MFP in confluence with structural overlays to validate price behavior. A ribbon expansion with rising MFP is real. A compression breakout without +1 flow is "fishy". Watch how MFP behaves near key zones like anchored VWAP, MAs or accumulation pivots. When MFP rises into a +2 and fails to sustain, the reversal isn’t just technical — it’s flow-based.
🪟 MFP doesn’t speak loudly, but it never whispers without reason. It’s the pulse check before action — the breath of the move before the breakout. While it stays visually minimal on the chart, the true power is in the often overlooked Data Window, where traders can read and interpret the score in real time. Once internalized, these values give structure-aware traders a framework for conviction, continuation, or caution.
🛜 MFP doesn’t chase momentum — it confirms conviction. And in markets defined by noise, that signal isn’t just helpful — it’s foundational.
DEMA Trend Oscillator Strategy📌 Overview
The DEMA Trend Oscillator Strategy is a dynamic trend-following approach based on the Normalized DEMA Oscillator SD.
It adapts in real-time to market volatility with the goal of improving entry accuracy and optimizing risk management.
⚠️ This strategy is provided for educational and research purposes only.
Past performance does not guarantee future results.
🎯 Strategy Objectives
The main goal of this strategy is to respond quickly to sudden price movements and trend reversals,
by combining momentum-based signals with volatility filters.
It is designed to be user-friendly for traders of all experience levels.
✨ Key Features
Normalized DEMA Oscillator: A momentum indicator that normalizes DEMA values on a 0–100 scale, allowing intuitive identification of trend strength
Two-Bar Confirmation Filter: Requires two consecutive bullish or bearish candles to reduce noise and enhance entry reliability
ATR x2 Trailing Stop: In addition to fixed stop-loss levels, a trailing stop based on 2× ATR is used to maximize profits during strong trends
📊 Trading Rules
Long Entry:
Normalized DEMA > 55 (strong upward momentum)
Candle low is above the upper SD band
Two consecutive bullish candles appear
Short Entry:
Normalized DEMA < 45 (downward momentum)
Candle high is below the lower SD band
Two consecutive bearish candles appear
Exit Conditions:
Take-profit at a risk-reward ratio of 1.5
Stop-loss triggered if price breaks below (long) or above (short) the SD band
Trailing stop activated based on 2× ATR to secure and extend profits
💰 Risk Management Parameters
Symbol & Timeframe: Any (AUDUSD 5M example)
Account size (virtual): $3000
Commission: 0.4PIPS(0.0004)
Slippage: 2 pips
Risk per trade: 5%
Number of trades (backtest):534
All parameters can be adjusted based on broker specifications and individual trading profiles.
⚙️ Trading Parameters & Considerations
Indicator: Normalized DEMA Oscillator SD
Parameter settings:
DEMA Period (len_dema): 40
Base Length: 20
Long Threshold: 55
Short Threshold: 45
Risk-Reward Ratio: 1.5
ATR Multiplier for Trailing Stop: 2.0
🖼 Visual Support
The chart displays the following visual elements:
Upper and lower SD bands (±2 standard deviations)
Entry signals shown as directional arrows
🔧 Strategy Improvements & Uniqueness
This strategy is inspired by “Normalized DEMA Oscillator SD” by QuantEdgeB,
but introduces enhancements such as a two-bar confirmation filter and an ATR-based trailing stop.
Compared to conventional trend-following strategies, it offers superior noise filtering and profit optimization.
✅ Summary
The DEMA Trend Oscillator Strategy is a responsive and practical trend-following method
that combines momentum detection with adaptive risk management.
Its visual clarity and logical structure make it a powerful and repeatable tool
for traders seeking consistent performance in trending markets.
⚠️ Always apply appropriate risk management. This strategy is based on historical data and does not guarantee future results.
Weighted Ichimoku StrategyLSE:HSBA
The Ichimoku Kinko Hyo indicator is a comprehensive tool that combines multiple signals to identify market trends and potential buying/selling opportunities. My weighted variant of this strategy attempts to assign specific weights to each signal, allowing for a more nuanced and customizable approach to trend identification. The intent is to try and make a more informed trading decision based on the cumulative strength of various signals.
I've tried not to make it a mishmash of this and that + MACD + RSI and on and on; most people have their preferred indicator that focuses on just that that they can use in conjunction.
The signals used can be grouped into two groups the 'Core Ichimoku Signals' & the 'Additional Signals' (at the end you will find the signals and their assigned weights followed by the thresholds where they align).
The Core Ichimoku Signals are the primary signals used in Ichimoku analysis, including Kumo Breakout, Chikou Cross, Kijun Cross, Tenkan Cross, and Kumo Twist.
While the Additional Signals provide further insights and confirmations, such as Kijun Confirmation, Tenkan-Kijun Above Cloud, Chikou Above Cloud, Price-Kijun Cross, Chikou Span Signal, and Price Positioning.
Entries are triggered when the cumulative weight of bullish signals exceeds a specified buy threshold, indicating a strong uptrend or potential trend reversal.
Exits are initiated when the cumulative weight of bearish signals surpasses a specified sell threshold, or when additional conditions such as consolidation patterns or ATR-based targets are met.
There are various exit types that you can choose between, which can be used separately or in conjunction with one another. As an example you might want to exit on a different condition during consolidation periods than during other periods or just use ATR with some other backstop.
They are listed in evaluation order i.e. ATR trumps all, Consolidation exit trumps the regular Kumo sell and so on:
**ATR Sell**: Exits trades based on ATR-based profit targets and stop-losses.
**Consolidation Exit**: Exits trades during consolidation periods to reduce drawdown.
**Sell Below Kumo**: Exits trades when the price is below the Kumo, indicating a potential downtrend.
**Sell Threshold**: Exits trades when the cumulative weight of bearish signals surpasses a specified sell threshold.
There are various 'filters' which are really behavior modifiers:
**Kumo Breakout Filter**: Requires price to close above the Kumo for buy signals (essentially a entry delay).
**Whipsaw Filter**: Ensures trend strength over specified days to reduce false signals.
**Buy Cooldown**: Prevents new entries until half the Kijun period passes after an exit (prevents flapping).
**Chikou Filter**: Delays exits unless the previous close is below the Chikou Span.
**Consolidation Trend Filter**: Prevents consolidation exits if the trend is bullish (rare, but happens).
Then there are some debugging options. Ichimoku periods have some presets (personally I like 8/22/44/22) but are freely configurable, preset to the traditional values for purists.
The list of signals and most thresholds follow, play around with them. Thats all.
Cheers,
**Core Ichimoku Signals**
**Kumo Breakout**
- 30 (Bullish) / -30 (Bearish)
- Indicates a strong trend when the price breaks above (bullish) or below (bearish) the Kumo (cloud). This signal suggests a significant shift in market sentiment.
**Chikou Cross**
- 20 (Bullish) / -20 (Bearish)
- Shows the relationship between the Chikou Span (lagging span) and the current price. A bullish signal occurs when the Chikou Span is above the price, indicating a potential uptrend. Conversely, a bearish signal occurs when the Chikou Span is below the price, suggesting a downtrend.
**Kijun Cross**
- 15 (Bullish) / -15 (Bearish)
- Signals trend changes when the Tenkan-sen (conversion line) crosses above (bullish) or below (bearish) the Kijun-sen (base line). This crossover is often used to identify potential trend reversals.
**Tenkan Cross**
- 10 (Bullish) / -10 (Bearish)
- Indicates short-term trend changes when the price crosses above (bullish) or below (bearish) the Tenkan-sen. This signal helps identify minor trend shifts within the broader trend.
**Kumo Twist**
- 5 (Bullish) / -5 (Bearish)
- Shows changes in the Kumo's direction, indicating potential trend shifts. A bullish Kumo Twist occurs when Senkou Span A crosses above Senkou Span B, and a bearish twist occurs when Senkou Span A crosses below Senkou Span B.
**Additional Signals**
**Kijun Confirmation**
- 8 (Bullish) / -8 (Bearish)
- Confirms the trend based on the price's position relative to the Kijun-sen. A bullish signal occurs when the price is above the Kijun-sen, and a bearish signal occurs when the price is below it.
**Tenkan-Kijun Above Cloud**
- 5 (Bullish) / -5 (Bearish)
- Indicates a strong bullish trend when both the Tenkan-sen and Kijun-sen are above the Kumo. Conversely, a bearish signal occurs when both lines are below the Kumo.
**Chikou Above Cloud**
- 5 (Bullish) / -5 (Bearish)
- Shows the Chikou Span's position relative to the Kumo, indicating trend strength. A bullish signal occurs when the Chikou Span is above the Kumo, and a bearish signal occurs when it is below.
**Price-Kijun Cross**
- 2 (Bullish) / -2 (Bearish)
- Signals short-term trend changes when the price crosses above (bullish) or below (bearish) the Kijun-sen. This signal is similar to the Kijun Cross but focuses on the price's direct interaction with the Kijun-sen.
**Chikou Span Signal**
- 10 (Bullish) / -10 (Bearish)
- Indicates the trend based on the Chikou Span's position relative to past price highs and lows. A bullish signal occurs when the Chikou Span is above the highest high of the past period, and a bearish signal occurs when it is below the lowest low.
**Price Positioning**
- 10 (Bullish) / -10 (Bearish)
- Shows indecision when the price is between the Tenkan-sen and Kijun-sen, indicating a potential consolidation phase. A bullish signal occurs when the price is above both lines, and a bearish signal occurs when the price is below both lines.
**Confidence Level**: Highly Sensitive
- **Buy Threshold**: 50
- **Sell Threshold**: -50
- **Notes / Significance**: ~2–3 signals, very early trend detection. High sensitivity, may capture noise and false signals.
**Confidence Level**: Entry-Level
- **Buy Threshold**: 58
- **Sell Threshold**: -58
- **Notes / Significance**: ~3–4 signals, often Chikou Cross or Kumo Breakout. Very sensitive, risks noise (e.g., false buys in choppy markets).
**Confidence Level**: Entry-Level
- **Buy Threshold**: 60
- **Sell Threshold**: -60
- **Notes / Significance**: ~3–4 signals, Kumo Breakout or Chikou Cross anchors. Entry point for early trends.
**Confidence Level**: Moderate
- **Buy Threshold**: 65
- **Sell Threshold**: -65
- **Notes / Significance**: ~4–5 signals, balances sensitivity and reliability. Suitable for moderate risk tolerance.
**Confidence Level**: Conservative
- **Buy Threshold**: 70
- **Sell Threshold**: -70
- **Notes / Significance**: ~4–5 signals, emphasizes stronger confirmations. Reduces false signals but may miss some opportunities.
**Confidence Level**: Very Conservative
- **Buy Threshold**: 75
- **Sell Threshold**: -75
- **Notes / Significance**: ~5–6 signals, prioritizes high confidence. Minimizes risk but may enter trades late.
**Confidence Level**: High Confidence
- **Buy Threshold**: 80
- **Sell Threshold**: -80
- **Notes / Significance**: ~6–7 signals, very strong confirmations needed. Suitable for cautious traders.
**Confidence Level**: Very High Confidence
- **Buy Threshold**: 85
- **Sell Threshold**: -85
- **Notes / Significance**: ~7–8 signals, extremely high confidence required. Minimizes false signals significantly.
**Confidence Level**: Maximum Confidence
- **Buy Threshold**: 90
- **Sell Threshold**: -90
- **Notes / Significance**: ~8–9 signals, maximum confidence level. Ensures trades are highly reliable but may result in fewer trades.
**Confidence Level**: Ultra Conservative
- **Buy Threshold**: 100
- **Sell Threshold**: -100
- **Notes / Significance**: ~9–10 signals, ultra-high confidence. Trades are extremely reliable but opportunities are rare.
**Confidence Level**: Extreme Confidence
- **Buy Threshold**: 110
- **Sell Threshold**: -110
- **Notes / Significance**: All signals align, extreme confidence. Trades are almost certain but very few opportunities.
DTT Yearly Volatility Grid [Pro+] (NINE/ANARR)Introduction :
This tool is designed to automate the Digital Time Theory (DTT) framework created by Ivan and Anarr and applies the DTT Yearly Volatility Grid to uncover swing trading opportunities by analyzing Time-based statistical market behavior across the 4H to Daily chart.
Description:
Built upon the proprietary Digital Time Theory (DTT) , this advanced version is tailored for traders seeking multi-day to multi-week moves . It equips swing traders with an edge by analyzing macro Time intervals and volatility behavior across higher Timeframes. Applicable to all major asset classes, including stocks, crypto, forex, and futures , this script breaks down the entire yearly range into Higher-Time Frame Time Models and statistical zones .
This version uses daily intervals to track broader volatility waves, highlight the DTT framework, and pinpoint premium/discount areas across swing cycles. Powered by Time-driven data insights, this tool assists traders in anticipating expansions, understanding long-range Time distortions, and positioning around statistically significant zones in the higher-Time frame narrative.
Key Features:
Time-Based Models and Macro Volatility Awareness:
Automatically populates the chart with DTT Yearly Time Models (4H, Daily), engineered to spotlight macro volatility events across broader market sessions. Helps swing traders identify potential inflection points, reversals, or trend continuation zones.
Average Model Range Probability (AMRP):
Measure the average volatility expected over higher Time-based models. Use AMRP Levels and Projections to assess the range potential of each Yearly Model Time window—vital for monitoring reversals, breakouts, or continuation plays across several sessions or weeks.
Digital Root Candles and HTF Liquidity Draws:
For DTT Yearly Models, the Digital Root Candles are calculated as a specific Daily candle, and can be viewed on the Daily or 4H Timeframe. Analysts can frame premium and discount zones, based on where price is trading in relation to the current or previous model's Digital Roots. These areas also act as anchors for institutional price movement, often serving as bases for accumulation/distribution periods or large impulse moves.
Extended Visualization:
Track and project prior model ranges (high, low, equilibrium) into the current swing window. This helps visualize macro support/resistance , range expansion, failure zones, and price gravitation levels for longer-term trade planning.
Lookback Periods and Model Count
Utilize adjustable lookback periods to control the number of past DTT Yearly Models displayed—ideal for swing traders and quarterly outlooks. Whether you’re reviewing one yearly model to focus on the present range or several months’ worth of data for backtesting and confluence, this feature keeps charts clean, structured, and aligned with your preferred historical perspective.
By tailoring how many previous Time-based models appear on the chart, traders can better visualize and backtest repeated behaviors, major volatility clusters, and how key levels evolve over Time.
Detailed Data Table:
View statistical AMRP data for multiple DTT Yearly Models in real-Time. The data table helps confirm whether current price movement exceeds, respects, or fails to reach historical volatility ranges—key for analyzing market compression or expansion phases.
Customization Options:
Toggle inner Time interval, calculate AMRP utilizing a custom model lookback, and display styles (solid/dotted lines), including color coordination per drawing. Easily customize your charts and settings to fit your swing trading system or macro analysis.
How Swing Traders Can Use DTT Yearly Volatility Grid Effectively
Identify Swing Premium and Discount Zones:
Use Root Candles and Yearly Time Model AMRP Zones to evaluate where price is positioned in the current Time Model. Using this tool, traders can plan trades with a longer term horizon for a minimum of 1 to 2-weeks or manage entries/exits around market structure shifts and liquidity pools
Expect Macro Volatility Shifts:
Use the HTF models to forecast when and which volatility models are historically known to create larger market impulses . These tools help spot periods of potential exhaustion or breakout, especially near key economic releases, quarterly closes , or macro liquidity zones .
Avoid Low Volatility Consolidations:
AMRP helps you detect when the market is compressing or coiling within a DTT Yearly Model. If price is trading between Digital Root Candles or the AMRP zones, analysts are likely to notice periods of consolidation, and the inability to reach their historical volatility averages.
Usage Guidance:
Add DTT Yearly Volatility Grid (NINE/ANARR) to your TradingView chart.
Make sure to be on the 4H, or Daily Timeframes depending on your asset class and analysis.
Use the DTT Model elements and the Data Table to track expansion zones, premium/discount extremes, and model range behavior.
Terms and Conditions
Our charting tools are products provided for informational and educational purposes only and do not constitute financial, investment, or trading advice. Our charting tools are not designed to predict market movements or provide specific recommendations. Users should be aware that past performance is not indicative of future results and should not be relied upon for making financial decisions. By using our charting tools, the purchaser agrees that the seller and the creator are not responsible for any decisions made based on the information provided by these charting tools. The purchaser assumes full responsibility and liability for any actions taken and the consequences thereof, including any loss of money or investments that may occur as a result of using these products. Hence, by purchasing these charting tools, the customer accepts and acknowledges that the seller and the creator are not liable nor responsible for any unwanted outcome that arises from the development, the sale, or the use of these products. Finally, the purchaser indemnifies the seller from any and all liability. If the purchaser was invited through the Friends and Family Program, they acknowledge that the provided discount code only applies to the first initial purchase of the Toodegrees Premium Suite subscription. The purchaser is therefore responsible for cancelling – or requesting to cancel – their subscription in the event that they do not wish to continue using the product at full retail price. If the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable. We hold no reimbursement, refund, or chargeback policy. Once these Terms and Conditions are accepted by the Customer, before purchase, no reimbursements, refunds or chargebacks will be provided under any circumstances.
By continuing to use these charting tools, the user acknowledges and agrees to the Terms and Conditions outlined in this legal disclaimer.
Dskyz (DAFE) Turning Point Indicator - Dskyz (DAFE) Turning Point Indicator — Smart Reversal Signals
Inspired by the intelligent logic of a pervious indicator I saw. This script represents a next-generation reversal detection system—completely re-engineered with cutting-edge filters, adaptive logic, and intelligent dashboards.
The Dskyz (DAFE) Turning Point Indicator
🧠 What Is It?
is designed to identify key market reversal zones with extraordinary accuracy by combining trend direction, volatility confirmation, price action patterns, and smart filtering layers—all visualized in a highly interactive and informative chart overlay.
This isn’t just a signal generator—it’s a decision-making assistant.
⚙️ Inputs & How to Use Them
All input fields are grouped for ease-of-use and explanation:
🔸 Reversal Logic Settings
Source: The price source used for signal generation (default: hlcc4). Can be changed to any standard price formula (open, close, hl2, etc.).
ATR Period: Used for determining volatility and dynamic trailing stop logic.
Supertrend Factor / Period: Calculates directional movement to detect trending vs choppy zones.
Reversal Sensitivity Thresholds: Internal logic filters minor pullbacks from true reversals.
🔸 Filters
Trend Filter: Enables trend-only signals (optional).
Volume Spike Filter: Confirms reversals with significant volume activity.
Volatility Zone Coloring: Visually highlights high-volatility areas to avoid late entries or fakeouts.
Custom High/Low Detection: Smart local top/bottom scanning to reinforce accuracy.
🔸 Visual & Dashboard Options
Signal Labels: Toggle signal labels on the chart.
Color Theme: Choose your visual theme for easier visibility.
Dashboard Toggle: Activate a compact dashboard summarizing strategy health (win rate, drawdown, trend state, volatility).
🧩 Functions Used
ta.supertrend(): Determines trend direction for signal confirmation and filtering.
ta.atr(): Calculates real-time volatility to determine trailing stop exits and visual zones.
ta.rsi() (internally optimized): Helps filter overbought/oversold conditions.
Local High/Low Scanner: Tracks recent pivots using a custom dynamic lookback.
Signal Engine: Consolidates multiple confirmation layers before plotting.
🚀 What Makes It Unique?
Unlike traditional reversal indicators, this one combines:
Multi-factor signal validation: No single indicator makes the call—volume, trend, price action, and volatility all contribute.
Adaptive filtering: The indicator evolves with the market—less noise, smarter signals.
Visual volatility heatmap zones: Avoid entering during uncertainty or manipulation spikes.
Interactive trend dashboard: Immediate insight into the strength and condition of the current market phase.
Highly customizable: Turn features on/off to match your trading style—scalping, swing, or trend-following.
Precision timing: Uses optimized versions of RSI and ATR that adjust automatically with price context.
🧬 Recommended for:
Commodity: Futures, Forex, Crypto
Timeframes: 1m to 1h for active traders. 4h+ for swing trades.
Pair With: Support/resistance zones, Fibonacci levels, and smart money concepts for additional confluence.
🎯 Why It Works
- Traditional reversal signals suffer from lag and noise. This system filters both by:
- Using multi-source confirmation, not just price movement.
-Tracking volatility directly, not assuming static markets.
-Detecting exhaustion, not just divergence.
-Keeping your screen clean, with only the most relevant data shown.
🧾 Credit & Acknowledgement
🧠 Original Concept Inspiration: This project was deeply inspired by the work of Enes_Yetkin_ and their approach to reversal detection. This version expands on the concept with additional technical layers, updated visuals, and real-time adaptability.
📌 Final Thoughts
This is more than a reversal tool. It's a market condition interpreter, entry/exit planner, and risk assistant all in one. Every aspect is engineered to give you an edge—especially when timing means everything.
Use it with discipline. Use it with clarity. Trade smarter.
**I will continue to release incredible strategies and indicators until I turn this into a brand or until someone offers me a contract.
-Dskyz
FeraTrading Relative Volume IndicatorThis FeraTrading Relative Volume Indicator measures relative volume pressure by comparing buying and selling activity, smoothed using a configurable average. It helps traders identify volume-driven momentum shifts, offering dynamic buy and sell signals based on weighted pressure values.
Key Features:
📈 Relative Volume (RV) Line: Measures net buying/selling pressure using volume-weighted price action.
🟢 Buy Signals: Triggered when RV crosses above a smoothed moving average (SMA 1).
🔴 Sell Signals (optional): Triggered when RV crosses below a separate SMA (SMA 2).
🔍 Customizable Inputs: Adjust smoothing length, weight, and signal sensitivity.
🕯️ Weighted Candles (optional): Visualizes custom OHLC based on volume-weighted volatility.
📊 Two SMAs: Use separate or combined moving averages to analyze trends in pressure.
🎨 Flexible Styling: Customize line and signal colors to match your chart setup.
Use Cases:
Spotting accumulation/distribution phases
Timing entries during volume surges
Confirming breakout momentum with underlying volume pressure
This indicator was developed by FeraTrading to visualize relative volume pressure.
Autocorrelation Adaptive EMAThe Autocorrelation Adaptive EMA (AAEMA) is a dynamic, overlay indicator designed to adapt its smoothing period based on market conditions. It analyzes the autocorrelation of price returns to adjust the lookback window, ensuring responsiveness to changing trends while maintaining stability during consolidation. The indicator also incorporates rate-of-change (ROC) and volatility metrics to fine-tune its sensitivity, making it suitable for various timeframes and market environments. The AAEMA plots a single, smooth line over the price chart, providing a clear visual guide for trend direction without revealing proprietary calculations. Ideal for traders seeking an adaptive moving average that balances speed and reliability.
Intraday Uncertainty [PhenLabs]📊 Intraday Uncertainty
Version: PineScript™ v6
📌 Description
The Intraday Uncertainty indicator offers traders a visual representation of market certainty/uncertainty during trading sessions. By comparing each price bar’s range to the Average True Range (ATR), it provides an intuitive way to gauge market conviction through a color gradient system.
This tool helps traders identify periods of high certainty (potentially trending markets) versus high uncertainty (potentially choppy or volatile markets) without complex calculations or multiple indicators. The color-coded bars create an immediate visual cue to support decision-making in varying market conditions.
🚀 Points of Innovation
Automated range-to-ATR ratio calculation that adapts to changing market volatility
Dynamic color gradient system that visually distinguishes between certain and uncertain price action
Customizable gradient clamping to fine-tune sensitivity to market conditions
Integrated dashboard that provides clear interpretation guidance
Position-flexible legend that accommodates different chart layouts
Highly optimized for performance with minimal calculation overhead
🔧 Core Components
ATR Calculation: Measures market volatility using a configurable lookback period
Range-to-ATR Ratio: Compares current bar’s high-low range against average volatility
Gradient Mapping System: Converts numerical uncertainty values into an intuitive color scale
Dashboard Legend: Provides clear interpretation guidance with customizable positioning
🔥 Key Features
Bar Coloring: Instantly identifies market certainty levels through intuitive color gradients
Customizable ATR Period: Adjust sensitivity to historical volatility based on trading style
Gradient Clamping: Fine-tune the color sensitivity using the Range/ATR multiplier
Color Customization: Personalize the color scheme to match your chart aesthetics
Informative Dashboard: Quickly interpret color meanings with the optional on-chart legend
Flexible Display Options: Customize dashboard position and text size for your chart layout
🎨 Visualization
Color Gradient: Bars colored on a spectrum from green (high certainty) to red (high uncertainty)
Dashboard Legend: Optional on-chart guide explaining the color interpretation
Color Intensity: Stronger colors indicate more extreme certainty/uncertainty levels
At-a-glance Interpretation: Quickly identify market conviction without analyzing numbers
📖 Usage Guidelines
Calculation Settings
ATR Period
Default: 14
Range: 1+
Description: Controls the lookback period for ATR calculation. Lower values increase sensitivity to recent volatility, while higher values provide more stability.
Gradient Clamp (Range/ATR Multiplier)
Default: 2.0
Range: 0.1+
Description: Sets the maximum Range/ATR ratio for gradient scaling. Ranges above this value display the end color (high uncertainty).
Color Settings
Gradient Start Color (High Certainty)
Default: Green
Description: Color representing high market certainty (low Range/ATR ratio)
Gradient End Color (Low Certainty)
Default: Red
Description: Color representing low market certainty (high Range/ATR ratio)
Dashboard Settings
Show Dashboard Legend
Default: True
Description: Toggles the visibility of the on-chart interpretation guide
Dashboard Position
Options: top_right, top_left, bottom_right, bottom_left, middle_right, middle_left
Default: bottom_right
Description: Controls the placement of the dashboard on your chart
Dashboard Text Size
Options: tiny, small, normal, large, huge
Default: normal
Description: Adjusts the text size of the dashboard for readability
✅ Best Use Cases
Identifying potential trend shifts when certainty levels change dramatically
Confirming trend strength through consistent certainty levels
Detecting choppy/sideways markets with persistent high uncertainty
Filtering trading signals from other indicators based on certainty levels
Gauging market conviction behind price breakouts or pullbacks
Optimizing entry/exit timing based on certainty/uncertainty transitions
⚠️ Limitations
Does not predict future price direction, only measures current bar certainty
May provide false signals during news events or unexpected volatility spikes
Requires context within the broader market environment for optimal interpretation
Color interpretation is relative rather than absolute across different securities
ATR-based calculation means sensitivity varies across different timeframes
💡 What Makes This Unique
Simplicity: Single visual indicator that doesn’t require multiple technical tools
Adaptability: Automatically adjusts to changing market volatility conditions
Contextual Analysis: Provides market conviction context beyond just price movement
Intuitive Design: Color-based system that requires minimal learning curve
Efficiency: Lightweight calculation that doesn’t impact chart performance
🔬 How It Works
1. ATR Calculation:
Calculates the Average True Range using the specified period
Establishes a baseline for normal market volatility
2. Range Analysis:
Measures each bar’s high-low range
Compares this range to the current ATR value to create a ratio
3. Gradient Mapping:
Converts the Range/ATR ratio to a normalized value between 0 and 1
Maps this value onto a color gradient between the start and end colors
Applies the resulting color to the price bar
4. Dashboard Creation:
Constructs an information panel on the last visible bar
Populates it with color samples and interpretation guidance
💡 Note:
This indicator works best when used in conjunction with other technical analysis tools rather than in isolation. The certainty/uncertainty measure provides context for your trading decisions but should not be the sole basis for entries and exits. Consider using higher certainty periods for trend-following strategies and exercise caution during periods of high uncertainty.
ATR % + Pump Detector📘 **ATR % + Pump Detector (Fixed 0.10%)**
This indicator combines two powerful volatility tools in one:
- **ATR % Display (Blue):**
Calculates the Average True Range as a percentage of price. Triggers an alert when ATR % exceeds **0.10%**, signaling rising volatility and potential breakout conditions.
- **Pump % Detector (Red):**
Measures the percentage change from **open to close** of the current candle. Triggers alerts when the move exceeds **+0.10%** (pump) or **–0.10%** (dump), helping you catch sudden price spikes in real time.
🔹 **Top-right display** shows both metrics in a clean table
🔹 Works on **any timeframe**
🔹 Ideal for **momentum trading, breakout entries**, or filtering low-vol setups
Super Oscillator - Monastrell [hamgkia]The Monastrell tool is an oscillator designed designed to track directional price movement adjusted by volume and normalized by volatility. It dynamically calculates overbought and oversold thresholds using percentiles and adapts to market conditions through trend bias and threshold smoothing.
Built with a layered, modular logic structure, the Monastrell Oscillator offers powerful analytical capabilities for both discretionary and algorithmic traders.
🔶 WHAT'S INCLUDED
Oscillator based on smoothed price change enhanced by a volume deviation factor.
Normalization through ATR to adapt readings across assets and timeframes.
Trend bias factor adjusts oscillator vertically depending on short- vs long-term EMA drift.
Overbought/Oversold zones determined by interpolation and smoothed via EMA.
Color-coded oscillator line indicating current state: green (above upper), red (below lower), gray (neutral).
Optional signal labels at key threshold crossings.
Optional informational label displaying live oscillator value, thresholds, and signal confidence.
Signal strength score based on distance to thresholds and threshold positioning.
Built-in alert conditions for 4 types of transitions.
🔷 HOW IT WORKS
Oscillator
The oscillator measures the smoothed difference between current and previous close prices, then scales this by the relative increase or decrease in volume compared to its average. This gives more weight to moves backed by participation.
Normalization
The result is normalized using ATR, turning the oscillator into a scale-independent metric. Then, trend bias is applied — calculated by comparing short- and long-term EMA slopes — shifting the oscillator up or down during trending environments.
Thresholds
Dynamic threshold levels are not static: they are calculated using percentile ranges over the lookback window. This ensures overbought and oversold zones reflect current volatility and price dynamics, rather than using fixed bands.
Signal Strength
Each bar is evaluated in relation to these adaptive thresholds, triggering label plots and alerts if conditions are met. In addition, the oscillator computes a real-time signal strength value that evaluates how actionable a signal is based on multiple internal metrics.
Labels
Stop SELL (L1) — Crossing above the oversold zone.
Stop BUY (L1) — Crossing below the overbought zone.
BUY and TP (L2) — Re-entering from below oversold.
SELL and TP (L2) — Re-entering from above overbought.
These label events are also available as alert conditions.
A dynamic scoring system rates the quality of the current signal based on:
Distance from the nearest threshold.
Width of the threshold channel.
Offset of thresholds relative to neutral zero level.
This produces a signal strength value categorized as:
💭 Weak
🔆 Average
🚀 Strong
If information label is enabled, the score and structure are displayed as a floating label on the chart.
🔶 USAGE
New signals appears when Oscillator crossing overbought/oversold zones.
L1 signals gives you advise what NOT TO DO .
L2 signals gives you advise what TO DO .
If you draw channels using my hint - you will have a very good SL level and potential TP1 level:
The indicator showed impressive results on the emulator in two formats:
1. With trailing stops.
2. With preset TP/SL, as I drew on the chart.
Tips
If the upper/lower threshold band is far from zero (> 0.3 & < -0.3), it often indicates trend exhaustion.
You can adjust Trend Bias Influence to control how sensitive the oscillator is to trend direction.
Use Signal Strength for confidence scoring or to gate trades in automation.
Draw channels, this will help to set SL and TP .
Fix profits before the trend reverses and drags you into minus, this indicator is more suitable for trades with clear ranges.
Volume and Volatility Ratio Indicator-WODI该指标名为“交易量与波动率比例指标-WODI”，主要基于交易量和价格波动率构造一个复合指数，帮助识别市场内可能存在的异常或转折信号。具体实现如下：
用户自定义参数
用户可以设置交易量均线长度（vol_length）、指数的短期与长期均线长度（index_short_length、index_long_length）、均线敏感度（index_magnification）、阈值放大因子（index_threshold_magnification）以及检测K线形态的区间（lookback_bars）。这些参数为后续计算提供了灵活性，允许用户根据不同市场环境自定义指标的敏感度和响应速度。
交易量均线与百分比计算
首先通过 ta.sma 计算指定长度的交易量简单均线（vol_ma）。
接下来，将当前交易量与均线进行比较，计算出当前交易量占均线的百分比（vol_percent），这反映了短期内交易量的相对活跃程度。
波动率的衡量
使用当前K线的最高价和最低价计算振幅，再除以收盘价乘以100得到波动率（volatility），从而反映市场价格波动的幅度。
构建交易量/波动率指数
将交易量百分比与波动率相乘，形成了“交易量/波动率指数”（volatility_index）。该指数能够同时反映市场的交易活跃度和价格波动性，两者的联合作用帮助捕捉市场的“热度”。
计算指标均线与阈值
对交易量/波动率指数分别计算短期均线（index_short_ma）和长期均线（index_long_ma），并通过乘以一个敏感度参数（index_magnification）进行调整。
同时，依据长期均线计算一个阈值（index_threshold），起到过滤噪音的作用。当指数突破该阈值时，可能预示着市场的重要变化。
K线形态与反转模式检测
通过遍历最近几根K线（由lookback_bars控制），指标会检测是否符合一系列预定条件（涉及交易量、价格振幅、K线形态等），以判断是否存在反转模式。若符合条件，则标记为反转模式，从而为潜在的转折点提供提示。
图表展示
最终在独立窗口中绘制多个元素：
指数短均线与长均线：经过敏感度调整后显示，用于分析指数趋势。
交易量/波动率指数：采用阶梯线风格绘制，直观展示指数变化。
阈值线：作为参考水平，便于判断指数是否突破常规范围。
交易量柱状图：当当前交易量高于均线时，通过不同颜色显示；当检测到反转模式时，颜色会进一步强化，帮助用户迅速识别潜在信号。
English Description
This indicator, titled “Volume and Volatility Ratio Indicator - WODI”, is designed to construct a composite index based on trading volume and price volatility, aiding in the identification of abnormal market conditions or potential reversal signals. Its functionality is broken down as follows:
User-Defined Parameters
The indicator allows users to set parameters such as the moving average length for volume (vol_length), the short and long moving average lengths for the index (index_short_length and index_long_length), a sensitivity multiplier (index_magnification), a threshold magnification factor (index_threshold_magnification), and the number of bars for pattern detection (lookback_bars). These parameters provide flexibility to adjust the sensitivity and responsiveness of the indicator based on different market conditions.
Volume Moving Average and Percentage Calculation
A simple moving average (SMA) of volume is computed over the specified length (vol_ma) using the ta.sma function.
The current volume is then compared to its moving average to calculate the volume percentage (vol_percent), reflecting the relative trading intensity in the short term.
Measuring Volatility
Volatility is calculated based on the current bar’s high and low prices, normalized by the closing price and multiplied by 100, which provides a measure of the market’s price fluctuation magnitude.
Constructing the Volume/Volatility Index
The index (volatility_index) is derived by multiplying the volume percentage by the calculated volatility. This composite metric reflects both market activity and price movement, effectively capturing the overall “heat” of the market.
Calculating the Index Moving Averages and Threshold
Two moving averages for the volatility_index are computed: one short-term (index_short_ma) and one long-term (index_long_ma). These are then adjusted by the sensitivity multiplier (index_magnification).
A threshold level (index_threshold) is calculated based on the long-term moving average multiplied by the threshold magnification factor, serving to filter out market noise. When the index exceeds this threshold, it may signal significant market shifts.
Detection of Reversal Patterns
The indicator iterates through the recent bars (as determined by lookback_bars) to check whether a set of predetermined conditions (involving trends in the volatility_index, volume comparisons, price closes, and K-line patterns) are met. If these conditions are satisfied, it flags a reversal pattern, which may serve as a warning for a potential market turnaround.
Visualization on the Chart
The final display includes several elements plotted in a separate indicator window:
The short-term and long-term moving averages of the index (after sensitivity adjustment) which help visualize the trend of the composite index.
The volatility index itself is drawn using a step-line style for clarity.
A threshold line is plotted to provide a reference level against which index movements can be compared.
A volume histogram is also displayed, where bars are colored differently when the current volume exceeds the moving average; the color is further enhanced if a reversal pattern is detected, making it easy for users to quickly spot potential signals.
VIX AnalyticsThis script is designed to serve traders, analysts, and investors who want a real-time, comprehensive view of market volatility, risk sentiment, and implied movements. It combines multiple institutional-grade volatility indices into one clear dashboard and interprets them with actionable insights — directly on your chart.
🔍 Features Included
🟦VIX (CBOE Volatility Index)
Measures market expectation of 30-day S&P 500 volatility.
Color-coded interpretation ranges:
Under 13: Extreme Complacency
15–20: Stable Market
20–30: Moderate Risk
30–40: High Volatility
Over 40: Panic
🟪 VVIX (Volatility of Volatility Index)
Tracks the volatility of VIX itself.
Interpreted as a risk gauge of how aggressively traders are hedging volatility exposure.
Under 80: Market Complacency
80–100: Normal Environment
100–120: Caution — Rising Volatility of Volatility
Over 120: High Stress — Elevated Hedging Activity
🟨 SKEW Index
Measures the perceived tail risk of the S&P 500 — i.e., the probability of a black swan event.
Below 110: Potential Complacency
120–140: Moderate Tail Risk
Above 140: High Tail Risk
🧮 VIX/VVIX Ratio
Gauges relative fear levels between expected volatility and the volatility of volatility.
Under 0.5: Low Ratio — VVIX Overextended
Over 0.9: High Ratio — VIX Leading
📈 VIX Percentile (1-Year Range)
Shows where the current VIX sits relative to its 1-year high/low.
Under 20%: Volatility is Cheap
Over 70%: Fear is Elevated — Reversal Possible
📉 SPX Implied Point Moves
Projects expected moves in SPX using VIX-derived volatility:
Daily
Weekly
Monthly
Helps size positions or define expected price ranges based on volatility regime.
📊 ATR Values (5, 13, 21 periods)
Traditional volatility using historical prices.
Provided alongside implied data for comparison.
🧠 Unique Logic & Interpretation Layer
This script doesn’t just show raw data — it interprets it. It reads the relationship between VIX, VVIX, and SKEW to highlight:
When market volatility may be underpriced
When hidden tail risks are forming
When to be cautious of volatility expansions
How current implied movement compares to past realized volatility
✅ Use Cases
Day traders: Know when volatility is low or expanding before scalping or swinging.
Options traders: Identify whether implied volatility is cheap or expensive.
Portfolio managers: Gauge when hedging is in demand and adjust exposure.
Risk managers: Crosscheck if current volatility aligns with macro risk events.
⚙️ Settings
Customizable table placement: Move the dashboard to any corner of your chart.
No repainting or lag: Data updates in real-time using official CBOE and SPX feeds.
