Range Breakout Statistics [Honestcowboy]⯁ Overview
The Range Breakout Statistics uses a very simple system to detect ranges/consolidating markets. The principle is simple, it looks for areas where the slope of a moving average is flat compared to past values. If the moving average is flat for X amount of bars that's a range and it will draw a box.
The statistics part of the script is a bit more complicated. The aim of this script is to expand analysis of trading signals in a different way than a regular backtest. It also highlights the polyline tool, one of my favorite drawing tools on the tradingview platform.
⯁ Statistics Methods
The script has 2 different modes of analyzing a trading signals strength/robustness. It will do that for 2 signals native to the script.
Upper breakout: first price breakout at top of box, before max bars (100 bars by default)
Lower breakout: first price breakout at bottom of box, before max bars
The analysis methods themselves are straightforward and it should be possible for tradingview community to expand this type of analysis to other trading signals. This script is a demo for this analysis, yet some might still find the native signals helpful in their trading, that's why the script includes alerts for the 2 native signals. I've also added a setting to disable any data gathering, which makes script run faster if you want to automate it.
For both of the analysis methods it uses the same data, just with different calculations and drawing methods. The data set is all past price action reactions to the signals saved in a matrix. Below a chart for explaining this visually.
⯁ Method 1: Averages Projection
The idea behind this is that just showing all price action that happened after signal does not give actionable insights. It's more a spaghetti jumble mess of price action lines. So instead the script averages the data out using 3 different approaches, all selectable in the settings menu.
Geometric Average: useful as it accurately reflects compound returns over time, smoothing out the impact of large gains or losses. Accounts for volatility drift.
Arithmetic Average: a standard average calculation, can be misleading in trading due to volatility drift. It is the most basic form of averaging so I included it.
Median: useful as any big volatility huge moves after a signal does not really impact the mean as it's just the middle value of all values.
These averages are the 2 lines you will find in the middle of the projection. Having a clear difference between a lower break average and upper break average price reaction can signal significance of the trading signal instead of pure chaos.
Outside of this I also included calculations for the maximum and minimum values in the dataset. This is useful for seeing price reactions range to the signal, showing extreme losses or wins are possible. For this range I also included 2 matrices of highs and lows data. This makes it possible to draw a band between the range based on closing price and the one using high/low data.
Below is a visualisation of how the averages data is shown on chart.
⯁ Method 2: Equity Simulation
This method will feel closer to home for traders as it more closely resembles a backtest. It does not include any commissions however and also is just a visualisation of price reaction to a signal. This method will simulate what would happen if you would buy at the breakout point and hold the trade for X amount of bars. With 0 being sell at same bar close. To test robustness I've given the option to visualise Equity simulation not just for 1 simulation but a bunch of simulations.
On default settings it will draw the simulations for 0 bars holding all the way to 10 bars holding. The idea behind it is to check how stable the effect is, to have further confirmation of the significance of the signal. If price simulation line moves up on average for 0 bars all the way to 10 bars holding time that means the signal is steady.
Below is a visualisation of the Equity Simulation.
⯁ Signal filtering
For the boxes themselves where breakouts come from I've included a simple filter based on the size of the box in ATR or %. This will filter out all the boxes that are larger top to bottom than the ATR or % value you setup.
⯁ Coloring of Script
The script includes 5 color themes. There are no color settings or other visual settings in the script, the script themes are simple and always have colors that work well together. Equity simulation uses a gradient based on lightness to color the different lines so it's easier to differentiate them while still upper breaks having a different color than lower breaks.
This script is not created to be used in conjunction with other scripts, it will force you into a background color that matches the theme. It's purpose is a research tool for systematic trading, to analyse signals in more depth.
Metaverse color theme:
⯁ Conclusion
I hope this script will help traders get a deeper understanding of how different assets react to their assets. It should be possible to convert this script into other signals if you know how to code on the platform. It is my intention to make more publications that include this type of analysis. It is especially useful when dealing with signals that do not happen often enough, so a regular backtest is not enough to test their significance.
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Sessions & Key Levels {basic}Introduction
Sessions & Key Levels {basic} is a streamlined key level indicator designed to provide traders with clear visual structure around intraday trading sessions and essential higher timeframe reference levels.
The {basic} version focuses on the most commonly used session and price levels, helping traders identify important areas of interest without overwhelming the chart. It is ideal for traders who want a clean, reliable framework for session-based and timeframe-based analysis.
Description
The indicator plots the Asia, London and New York trading sessions directly on the chart, including session boxes and key session levels. Session highs and lows update dynamically while the session is active, providing real-time context as price develops.
In addition to session levels, the indicator includes current and previous period levels from a single configurable timeframe. These levels highlight important open, high, low and midpoint references that are frequently respected by price and commonly used for intraday bias, structure and trade planning.
The {basic} version is designed to remain visually minimal, with fixed styling and simplified settings, making it easy to use straight out of the box.
Features
Global session windows
Asia, London and New York sessions.
Custom session times.
Session boxes with adaptive highs and lows.
Session levels
Open, high, low and midpoint per session.
Automatically updates during active sessions.
Clean, consistent labelling.
Previous period levels
One configurable timeframe.
Open, high, low and midpoint of the prior period.
Useful for daily or intraday reference levels.
Current period levels
Tracks live open, high, low and midpoint of the selected timeframe.
Updates dynamically as the timeframe progresses.
Simplified design
Fixed line styles and colors for clarity.
Dark and light theme support.
Minimal settings for ease of use.
Terms & Conditions
This indicator is provided for educational and informational purposes only and does not constitute financial advice.
Trading involves risk and past performance is not indicative of future results.
The user assumes full responsibility for any trading decisions made using this indicator.
Momentum Status Tracker by VKKScript Coder: Vivek K.
Disclaimer : Use this indicator at your own risk. Do proper back testing to make sure it works for you. I am not responsible for any losses you may have. Indicator may give false signals during consolidation state. Make sure to use other indicators for correct momentum or directional confirmations.
Bullish: Price is above the 5, 13, 20 EMAs AND the VWAP.
Bearish: Price is below the 5, 13, 20 EMAs AND the VWAP.
Cautious: This triggers when the "stack" is broken. For example, if you are in a clear uptrend but the price closes below the 5 EMA, the table will flip to Cautious to warn you of a potential slowdown.
Neutral: Used as a fallback if the price is chopping directly inside the EMA cluster.
Multi Cycles Slope-Fit System MLMulti Cycles Predictive System : A Slope-Adaptive Ensemble
Executive Summary:
The MCPS-Slope (Multi Cycles Slope-Fit System) represents a paradigm shift from static technical analysis to adaptive, probabilistic market modeling. Unlike traditional indicators that rely on a single algorithm with fixed settings, this system deploys a "Mixture of Experts" (MoE) ensemble comprising 13 distinct cycle and trend algorithms.
Using a Gradient-Based Memory (GBM) learning engine, the system dynamically solves the "Cycle Mode" problem by real-time weighting. It aggressively curve-fits the Slope of component cycles to the Slope of the price action, rewarding algorithms that successfully predict direction while suppressing those that fail.
This is a non-repainting, adaptive oscillator designed to identify market regimes, pinpoint high-probability reversals via OB/OS logic, and visualize the aggregate consensus of advanced signal processing mathematics.
1. The Core Philosophy: Why "Slope" Matters:
In technical analysis, most traders focus on Levels (Price is above X) or Values (RSI is at 70). However, the primary driver of price action is Momentum, which is mathematically defined as the Rate of Change, or the Slope.
This script introduces a novel approach: Slope Fitting.
Instead of asking "Is the cycle high or low?", this system asks: "Is the trajectory (Slope) of this cycle matching the trajectory of the price?"
The Dual-Functionality of the Normalized Oscillator
The final output is a normalized oscillator bounded between -1.0 and +1.0. This structure serves two critical functions simultaneously:
Directional Bias (The Slope):
When the Combined Cycle line is rising (Positive Slope), the aggregate consensus of the 13 algorithms suggests bullish momentum. When falling (Negative Slope), it suggests bearish momentum. The script measures how well these slopes correlate with price action over a rolling lookback window to assign confidence weights.
Overbought / Oversold (OB/OS) Identification:
Because the output is mathematically clipped and normalized:
Approaching +1.0 (Overbought): Indicates that the top-weighted algorithms have reached their theoretical maximum amplitude. This is a statistical extreme, often preceding a mean reversion or trend exhaustion.
Approaching -1.0 (Oversold): Indicates the aggregate cycle has reached maximum bearish extension, signaling a potential accumulation zone.
Zero Line (0.0): The equilibrium point. A cross of the Zero Line is the most traditional signal of a trend shift.
2. The "Mixture of Experts" (MoE) Architecture:
Markets are dynamic. Sometimes they trend (Trend Following works), sometimes they chop (Mean Reversion works), and sometimes they cycle cleanly (Signal Processing works). No single indicator works in all regimes.
This system solves that problem by running 13 Algorithms simultaneously and voting on the outcome.
The 13 "Experts" Inside the Code:
All algorithms have been engineered to be Non-Repainting.
Ehlers Bandpass Filter: Extracts cycle components within a specific frequency bandwidth.
Schaff Trend Cycle: A double-smoothed stochastic of the MACD, excellent for cycle turning points.
Fisher Transform: Normalizes prices into a Gaussian distribution to pinpoint turning points.
Zero-Lag EMA (ZLEMA): Reduces lag to track price changes faster than standard MAs.
Coppock Curve: A momentum indicator originally designed for long-term market bottoms.
Detrended Price Oscillator (DPO): Removes trend to isolate short-term cycles.
MESA Adaptive (Sine Wave): Uses Phase accumulation to detect cycle turns.
Goertzel Algorithm: Uses Digital Signal Processing (DSP) to detect the magnitude of specific frequencies.
Hilbert Transform: Measures the instantaneous position of the cycle.
Autocorrelation: measures the correlation of the current price series with a lagged version of itself.
SSA (Simplified): Singular Spectrum Analysis approximation (Lag-compensated, non-repainting).
Wavelet (Simplified): Decomposes price into approximation and detail coefficients.
EMD (Simplified): Empirical Mode Decomposition approximation using envelope theory.
3. The Adaptive "GBM" Learning Engine
This is the "Machine Learning" component of the script. It does not use pre-trained weights; it learns live on your chart.
How it works:
Fitting Window: On every bar, the system looks back 20 days (configurable).
Slope Correlation: It calculates the correlation between the Slope of each of the 13 algorithms and the Slope of the Price.
Directional Bonus: It checks if the algorithm is pointing in the same direction as the price.
Weight Optimization:
Algorithms that match the price direction and correlation receive a higher "Fit Score."
Algorithms that diverge from price action are penalized.
A "Softmax" style temperature function and memory decay allow the weights to shift smoothly but aggressively.
The Result: If the market enters a clean sine-wave cycle, the Ehlers and Goertzel weights will spike. If the market explodes into a linear trend, ZLEMA and Schaff will take over, suppressing the cycle indicators that would otherwise call for a premature top.
4. How to Read the Interface:
The visual interface is designed for maximum information density without clutter.
The Dashboard (Bottom Left - GBM Stats)
Combined Fit: A percentage score (0-100%). High values (>70%) mean the system is "Locked In" and tracking price accurately. Low values suggest market chaos/noise.
Entropy: A measure of disorder. High entropy means the algorithms disagree (Neutral/Chop). Low entropy means the algorithms are unanimous (Strong Trend).
Top 1 / Top 3 Weight: Shows how concentrated the decision is. If Top 1 Weight is 50%, one algorithm is dominating the decision.
The Matrix (Bottom Right - Weight Table)
This table lifts the hood on the engine.
Fit Score: How well this specific algo is performing right now.
Corr/Dir: Raw correlation and Direction Match stats.
Weight: The actual percentage influence this algorithm has on the final line.
Cycle: The current value of that specific algorithm.
Regime: Identifies if the consensus is Bullish, Bearish, or Neutral.
The Chart Overlay
The Line: The Gradient-Colored line is the Weighted Ensemble Prediction.
Green: Bullish Slope.
Red: Bearish Slope.
Triangles: Zero-Cross signals (Bullish/Bearish).
"STRONG" Labels: Appears when the cycle sustains a value above +0.5 or below -0.5, indicating strong momentum.
Background Color: Changes subtly to reflect the aggregate Regime (Strong Up, Bullish, Neutral, Bearish, Strong Down).
5. Trading Strategies:
A. The Slope Reversal (OB/OS Fade)
Concept: Catching tops and bottoms using the -1/+1 normalization.
Signal: Wait for the Combined Cycle to reach extreme values (>0.8 or <-0.8).
Trigger: The entry is taken not when it hits the level, but when the Slope flips.
Short: Cycle hits +0.9, color turns from Green to Red (Slope becomes negative).
Long: Cycle hits -0.9, color turns from Red to Green (Slope becomes positive).
B. The Zero-Line Trend Join
Concept: Joining an established trend after a correction.
Signal: Price is trending, but the Cycle pulls back to the Zero line.
Trigger: A "Triangle" signal appears as the cycle crosses Zero in the direction of the higher timeframe trend.
C. Divergence Analysis
Concept: Using the "Fit Score" to identify weak moves.
Signal: Price makes a Higher High, but the Combined Cycle makes a Lower High.
Confirmation: Check the GBM Stats table. If "Combined Fit" is dropping while price is rising, the trend is decoupling from the cycle logic. This is a high-probability reversal warning.
6. Technical Configuration:
Fitting Window (Default: 20): The number of bars the ML engine looks back to judge algorithm performance. Lower (10-15) for scalping/quick adaptation. Higher (30-50) for swing trading and stability.
GBM Learning Rate (Default: 0.25): Controls how fast weights change.
High (>0.3): The system reacts instantly to new behaviors but may be "jumpy."
Low (<0.15): The system is very smooth but may lag in regime changes.
Max Single Weight (Default: 0.55): Prevents one single algorithm from completely hijacking the system, ensuring an ensemble effect remains.
Slope Lookback: The period over which the slope (velocity) is calculated.
7. Disclaimer & Notes:
Repainting: This indicator utilizes closed bar data for calculations and employs non-repainting approximations of SSA, EMD, and Wavelets. It does not repaint historical signals.
Calculations: The "ML" label refers to the adaptive weighting algorithm (Gradient-based optimization), not a neural network black box.
Risk: No indicator guarantees future performance. The "Fit Score" is a backward-looking metric of recent performance; market regimes can shift instantly. Always use proper risk management.
Author's Note
The MCPS-Slope was built to solve the frustration of "indicator shopping." Instead of switching between an RSI, a MACD, and a Stochastic depending on the day, this system mathematically determines which one is working best right now and presents you with a single, synthesized data stream.
If you find this tool useful, please leave a Boost and a Comment below!
ICT/SMC HUDOverview
This indicator is an ICT/SMC-inspired market structure tool that detects:
Swing Structure (pivot-based)
BOS (Break of Structure) and CHoCH (Change of Character)
Liquidity Sweeps (buy-side & sell-side)
Premium/Discount filter using a simple equilibrium (EQ) midpoint
A Hold Score (0–5) system calculated from a higher timeframe (HTF)
Optional TP/SL visualization box (with TP2 expansion when Hold Score is strong)
⚠️ This is an educational tool, not a guaranteed trading system.
Core Logic (Where signals come from)
This script builds a simplified ICT/SMC framework using 3 layers:
1) Market Structure via Swings (Pivot High/Low)
The script finds swing highs/lows using:
ta.pivothigh(high, swingLen, swingLen)
ta.pivotlow(low, swingLen, swingLen)
These swings become the reference points for structure breaks.
2) BOS / CHoCH Detection
BOS Up = price closes above the last swing high
BOS Down = price closes below the last swing low
trend updates to 1 (bullish) or -1 (bearish) based on BOS
CHoCH triggers when BOS occurs against the current trend
CHoCH Up = trend was bearish, then BOS Up happens
CHoCH Down = trend was bullish, then BOS Down happens
3) Liquidity Sweep + Premium/Discount Filter
Sell-side sweep: low breaks below last swing low, but closes back above it
Buy-side sweep: high breaks above last swing high, but closes back below it
Equilibrium (EQ) midpoint is:
(lastSwingHigh + lastSwingLow) / 2
Discount = price below EQ
Premium = price above EQ
Signal Rules (Buy / Sell)
Buy Signal
Sell-side sweep + (CHoCH Up or BOS Up)
OR
BOS Up while price is in Discount
Sell Signal
Buy-side sweep + (CHoCH Down or BOS Down)
OR
BOS Down while price is in Premium
Hold Score System (0–5) — HTF confirmation
The script calculates a Hold Score from HTF using 5 checks:
HTF EMA Bias
Bullish hold bias: EMA Fast > EMA Mid
Bearish hold bias: EMA Fast < EMA Mid
Volatility Expansion
Uses HTF Bollinger Band width; if width is increasing, expansion is “OK”
Mid Acceptance
HTF close relative to HTF BB basis (SMA)
Follow-through after Entry
Requires N consecutive bars closing in favor of the entry direction
No Opposite Break
Avoid holding if opposite BOS/CHoCH appears
Hold Score = sum of the 5 checks (0–5)
TP/SL Box (Optional)
When a new Buy/Sell signal occurs:
Entry is set at current close
SL uses:
Swing-based stop (lowest/ highest of last N bars)
optional ATR buffer
TP1 and TP2 are set using Risk:Reward ratios
TP2 Expansion (Optional)
If Hold Score ≥ threshold:
TP2 RR increases by extraRRonHold
Can be set to expand only (never shrink)
Auto-hide TP/SL Drawings (Optional)
If enabled, the TP/SL box/lines/labels will automatically disappear after N bars.
This is useful for clean charts while still keeping Hold Score logic running.
Best Use Cases
✅ Works best during liquidity sessions:
London Killzone
New York Killzone
✅ Recommended timeframes:
Structure: 15m / 1h
Entry refinement: 5m / 1m
Hold Score HTF: 1h or 4h
Inputs Guide (Quick)
Swing length (Structure): controls swing sensitivity (higher = fewer swings)
Hold Score HTF: HTF used for Hold Score confirmation
TP/SL Box: visualization tool, not order execution
Auto-hide: removes drawings after N bars for clean charts
TP2 Expand: increases TP2 target when Hold Score is strong
Disclaimer
This indicator does not place trades and does not guarantee profits. Always manage risk, backtest, and validate with your own strategy.
Buy Strategy by SBBuy strategy at high of highlighted candles .This will give target of 5 points at 5min time frame and 5 points sl
Volume Dynamic Liquidity BandsThis indicator visualizes liquidity zones on the chart by detecting areas where high-volume trading occurred. It combines volume analysis with price action to identify significant liquidity levels that traders and market makers are likely watching.
Pro-Vision ATR + ExhaustionThis indicator is designed to provide Real-Time Volatility Guardrails. Unlike standard ATR indicators that plot a single line at the bottom of your chart, this tool projects volatility "shells" directly onto the price action from the current candle.
It answers the most critical question in a live trade: "How far can this stock move right now before it is statistically exhausted?"
The Components
Current ATR Centerpiece: The lines originate from the most recent price action, updating live with every tick.
Target Lines (1.5x ATR - Yellow): These represent the "Normal Expected Move." In a healthy trend, price often reaches these levels without much resistance.
Exhaustion Lines (3.0x ATR - Red): These represent "Extreme Volatility." Statistically, it is rare for price to sustain a move beyond 3x its average range in a single period without a pullback or consolidation.
How to Trade It
1. Profit Taking (The "Target" Exit)
If you are in a long position and price hits the Yellow Upper Line, it has achieved its expected volatility move for that timeframe.
Strategy: Scale out 50% of your position here. This locks in gains based on math rather than emotion.
2. Reversal Trading (The "Exhaustion" Play)
When price pierces or touches the Red Exhaustion Line, the asset is "overbought" or "oversold" relative to its recent volatility.
Strategy: Look for a reversal candle (like a shooting star or hammer) touching the red line.
The Trade: Short the asset at the red line with a tight stop, or close your long position immediately. These levels often act as "invisible" ceilings.
3. Setting "Smart" Stop Losses
Standard stops are often placed at arbitrary percentages. Using this indicator, you can place your stop just outside the 1.5x ATR line.
Strategy: If you enter a trade and price moves past the opposite ATR line, the volatility has shifted against you, and the original trade thesis is likely invalid.
4. Filtering Bad Entries (The "Don't Chase" Rule)
Strategy: If you are looking to go Long, but the price is already sitting at the Yellow Line, the "meat of the move" is likely over.
Rule: Never enter a new position if the price is already 75% of the way to the Red Exhaustion line. Wait for a mean reversion back to the middle.
VIX Option Hedge Monitor# VIX Option Hedge Monitor
Inspired by Cem Karsan
The VIX Option Hedge Monitor is a specialized indicator designed to detect unusual hedging activity in VIX call options that may signal impending market volatility or potential market crashes. By monitoring deep out-of-the-money (OTM) VIX calls that are 1-2weeks out—typically 150-170% OTM with premiums around $0.05-$0.10—this indicator identifies when institutional players are aggressively hedging for tail risk events.
## What It Does
This indicator tracks the intraday percentage change of a specific VIX option contract from its daily opening price and provides two distinct alert levels:
- **🟠 Orange Alert (200%+ increase)**: "Increased Hedging" - Indicates elevated hedging activity
- **🔴 Red Alert (400%+ increase)**: "Crash Imminent" - Suggests extreme hedging behavior often seen before major market dislocations
## Why This Matters
Deep OTM VIX calls are typically used by institutional investors as insurance against severe market crashes. When these options suddenly spike in price, it often indicates that sophisticated market participants are positioning for significant volatility. Historically, extreme spikes in these types of options have preceded major market corrections.
## How to Use
### Initial Setup
1. **Add the Indicator**
- Open TradingView and click on "Indicators" at the top of your chart
- Search for "VIX Option Hedge Monitor"
- Click to add it to your chart
2. **Find Your VIX Option Ticker**
- Go to VIX options chain in TradingView
- Find an expiration date that is more than 1 week out but less than 4 weeks out
- Locate a call strike approximately 168% OTM (these typically trade at $0.05-$0.10)
- Note the exact option ticker symbol (e.g., VIX260121C37.0)
3. **Configure the Indicator**
- Click on the gear icon next to "VIX Option Hedge Monitor" in your indicator list
- In the "VIX Option Symbol" field, paste your option ticker
- Adjust thresholds if desired (default: 200% orange, 400% red)
- Click "OK"
### Setting Up Alerts (Recommended)
1. Click the three dots (⋮) next to the indicator name
2. Select "Add alert on VIX Option Hedge Monitor"
3. Choose your alert condition:
- "Increased Hedging Alert" for the 200% threshold
- "Crash Hedge Behavior Alert" for the 400% threshold
4. Configure how you want to receive alerts (popup, email, SMS, etc.)
5. Click "Create"
### Ongoing Maintenance
**Rolling to New Expiration:**
When your current option is within 7 days of expiration, you'll need to update to a new option:
1. Find a new VIX call option meeting the criteria (1-3 weeks out, ~168% OTM)
2. Open the indicator settings (gear icon)
3. Update the "VIX Option Symbol" field with the new ticker
4. Click "OK"
The indicator will immediately begin tracking the new option.
## Understanding the Display
### Info Table (Top Right)
- **Option**: Current option ticker being monitored
- **Current Price**: Real-time option price
- **Day Open**: Option's opening price for the current trading day
- **% Change**: Percentage increase from day open
- **Status**: Current alert level (Normal, Increased Hedging, or Crash Imminent)
### Chart Elements
- **Blue Line**: Option price movement
- **White Line**: Percentage change from daily open
- **Orange Dashed Line**: 200% threshold marker
- **Red Dashed Line**: 400% threshold marker
- **Triangle Markers**: Appear when thresholds are crossed
- **Background Color**: Changes to orange or red when alerts are triggered
## Settings & Customization
### Adjustable Parameters
**VIX Option Symbol** (Required)
- The exact ticker of the VIX option you want to monitor
- Must be updated manually when rolling to new expirations
- Example: VIX250131C00055000
**Orange Alert Threshold** (Default: 200%)
- Percentage increase from day open to trigger "Increased Hedging" alert
- Adjust higher for fewer false positives or lower for earlier warnings
**Red Alert Threshold** (Default: 400%)
- Percentage increase from day open to trigger "Crash Imminent" alert
- Represents extreme hedging behavior
**Show % Change Line** (Default: On)
- Toggle visibility of the percentage change line
**Show Price Line** (Default: On)
- Toggle visibility of the option price line
## Trading Strategy Considerations
### This Indicator Is:
- A early warning system for potential market volatility
- A tool to monitor institutional hedging behavior
- Most effective when combined with other technical and fundamental analysis
### This Indicator Is NOT:
- A standalone trading signal
- A guarantee of market crashes
- A timing tool (alerts may come hours or days before events)
### Best Practices:
1. **Don't trade solely on this indicator** - Use it as one input among many
2. **Monitor throughout the day** - Set alerts but also check manually
3. **Consider market context** - High VIX environments may see more false signals
4. **Roll options weekly** - Keep your monitored option in the 1-3 week window
5. **Track multiple strikes** - Consider monitoring 2-3 different strikes for confirmation
## Technical Notes
- The indicator uses daily open as the baseline for percentage calculations
- Price data refreshes based on your chart timeframe
- Works best on intraday timeframes (1min - 15min) for quick alerts
- Requires TradingView access to options data for the ticker you specify
## Interpretation Guide
**Normal Operation** (0-199% increase)
- Market functioning normally
- Standard hedging activity
- No action required
**Increased Hedging** (200-399% increase)
- Heightened caution warranted
- Consider reviewing portfolio hedges
- Monitor closely for further escalation
- May indicate near-term volatility concerns
**Crash Imminent** (400%+ increase)
- Extreme hedging activity detected
- Institutional players positioning for severe downside
- Consider defensive positioning
- Review stop losses and portfolio allocation
- Historical precedent suggests elevated crash risk
## Limitations
- Requires manual option ticker updates
- Cannot automatically select optimal strikes
- Low liquidity options may show erratic price movements
- False signals possible during high volatility periods
- Past performance does not guarantee future results
## Support & Updates
For questions, suggestions, or to report issues, please leave a comment on the indicator page.
## Disclaimer
This indicator is for informational and educational purposes only. It does not constitute financial advice, investment recommendations, or trading signals. Always conduct your own research and consult with a qualified financial advisor before making investment decisions. Options trading carries significant risk and may not be suitable for all investors.
---
**Version**: 1.0
**Last Updated**: January 2026
**Compatible With**: TradingView Pine Script v5
Sarina - EMA Dynamic -01112026This script creates a Dynamic Adaptive EMA System that goes beyond traditional moving averages by adjusting its "length" (lookback period) in real-time based on price action.Core MechanismUnlike standard EMAs with fixed periods, this indicator uses variable lengths ($c1$ and $c2$).Acceleration: When price moves aggressively, the EMA lengths increase or decrease dynamically to track the trend more closely.Time-Based Deceleration: It includes a unique feature where the "speed" of these adjustments decays every 30 seconds to prevent the indicator from becoming too erratic during high-volatility spikes.Signal Logic (The "No-Summary" System)The system categorizes signals into two tiers:S-Signals (Small): Occur when the baseline EMA (9) stabilizes above/below the Fast Dynamic EMA (13).P-Signals (Power): Occur when the baseline EMA (9) stabilizes above/below the Slow Dynamic EMA (34).Noise Reduction FeaturesTo ensure high-quality entries, the code employs two filters:Stabilization Filter (conf_bars): Price (via the 9 EMA) must hold its position for a specific number of candles before a label appears. This acts as a "shock absorber" against sudden wicks.Proximity Filter (signal_filter_window): It prevents "signal clustering" by enforcing a minimum candle distance between consecutive buy or sell labels.Visual Output: You will see a color-coded cloud between the two dynamic EMAs and a real-time Status Table in the top-right corner showing the current calculated lengths of your averages.
FlowMaster 4H - Avanced Volume & Pip Analyzer“Visualize market flow like an institutional trader – track buy/sell volume, pip per tick, and candle efficiency in one table.”
“Visualize market flow like an institutional trader – track buy/sell volume, pip per tick, and candle efficiency in one table.”
Short Description (Marketplace-Friendly):
Aggregated 4H candle analysis with buy/sell volume breakdown.
Pip/Tick calculation with weighted averages for smarter entry/exit signals.
Compare current candle volume to previous candle and 20-bar average.
All key metrics in a compact, easy-to-read table below the chart.
Ideal for Forex swing & position traders seeking institutional-style insights directly in TradingView.
Long Description / Full Product Info:
FlowMaster 4H is a professional-grade trading indicator designed to provide quantitative order flow analysis on Forex markets using 4-hour candles. By aggregating volume data, tick information, and pip movements, FlowMaster gives traders a unique perspective on market dynamics typically reserved for institutional participants.
Key Features:
Volume Relative Metrics: Compare the current candle volume to the previous candle and to the average of the last 20 candles.
Pip/Tick Analysis: Calculates pip per tick using a scaled price approach, giving insights into the efficiency of price moves.
Weighted Pip/Tick Averages: Tracks volume-weighted pip/tick over the last 20 candles for both buyers and sellers.
Percentage Metrics: Visualize the proportion of buy and sell volume relative to total ticks, helping identify absorption and impulse movements.
User-Friendly Table: All key indicators displayed in a compact, easy-to-read table below the chart.
Why use FlowMaster 4H:
Identify market absorption and impulse using reliable volume and pip metrics.
Optimize trade entry and exit decisions based on quantitative order flow data.
Works directly in TradingView, offering a professional order flow view without needing access to Level 2 order book data.
Pioneering approach in aggregating 4H candle data with detailed pip/tick insights.
Ideal For: Swing and position traders, Forex traders seeking institutional-style volume analysis, and anyone looking to improve order flow reasoning using TradingView.
My Swift-like Algo J.ALIMOJANIDSwift Algo Chart — Trend, Structure & ATR Risk
Swift Algo Chart is a trend-following trading indicator designed to provide clear bias, precise entries, and visual risk management.
It combines EMA trend direction, pullback-based signals, market structure (HH/HL/LH/LL), and ATR-based Stop Loss & Take Profit levels to help traders make disciplined decisions.
🔑 Key Features
Trend Regime Detection
Identifies LONG, SHORT, or NO TRADE conditions using Fast & Slow EMAs.
Pullback Entry Signals
Signals appear only in the direction of the active trend, with optional RSI confirmation.
ATR-Based Risk Levels
Automatically plots SL, TP1, and TP2, including exact price values on the chart.
Preview Levels
Shows projected SL/TP levels when a trend is active, even before an entry.
Market Structure Visualization
Marks HH / HL / LH / LL, draws structure lines, and highlights BOS and CHOCH.
Clean & Non-Repainting Logic
Uses confirmed pivots and closed candles for stability.
Strategy-Compatible
Can be used for discretionary trading or full strategy backtesting.
🧠 Best Used For
Crypto, Forex, Indices
15m to 4H timeframes
Traders who want structure + trend + risk clarity in one tool
Zig Zag ++ SG (Premium)🔥 Zig Zag ++ SG
Professional Market Structure & Cycle Analyzer
Zig Zag ++ SG is an advanced, research-grade market structure indicator built on top of a refined ZigZag engine, designed for traders and investors who want to understand price cycles, not chase candles.
This is not a buy-sell arrow tool.
It is a decision-support system used to analyze trend strength, exhaustion, pullback depth, and cycle behavior across any market and timeframe.
🧠 What Makes Zig Zag ++ SG Different?
Most ZigZag indicators only draw lines.
Zig Zag ++ SG answers the real questions:
Is the trend getting stronger or weaker?
Are higher highs still meaningful?
How deep are pullbacks in percentage terms?
Which stocks recover fast vs stay weak?
Is this accumulation, distribution, or reversal?
It does this by combining:
Market Structure (HH / HL / LH / LL)
Consecutive structure counting
Gain & fall percentage per swing
Clean visual logic (no repaint confusion)
📌 Core Features
✅ 1. Automatic Market Structure Detection
Labels every major swing as:
HH – Higher High
HL – Higher Low
LH – Lower High
LL – Lower Low
This instantly shows whether the market is:
Trending
Consolidating
Distributing
Reversing
✅ 2. Consecutive Structure Count (ON by default)
Each structure type is counted sequentially:
HH (1), HH (2), HH (3)…
HL (1), HL (2)…
This reveals:
Trend maturity
Exhaustion zones
Early breakdown warnings
Example:
HH (4) = trend may be overextended
HL (3) = healthy trend continuation
✅ 3. Gain & Fall % on Every Swing (ON by default)
Every HH, HL, LH, LL shows:
Exact % move from the previous pivot
This allows you to:
Compare pullback depth across stocks
Identify leaders (shallow HLs)
Spot weak stocks (deep HLs / LHs)
Study cycle symmetry
Example label:
HL (2)
-6.4%
✅ 4. Clean, Readable Visual Design
🟩 Green labels → White text
🟥 Red labels → High-contrast white text
Optional background trend shading (OFF by default)
Works perfectly in dark & light mode
Designed for long chart study sessions, not flashy screenshots.
✅ 5. Safe Repaint Logic (Transparent by Design)
Uses ZigZag logic intentionally
No fake “non-repainting” claims
Ideal for analysis, research & planning
What you see is structurally correct
This indicator is for thinking traders, not signal chasers.
⚙️ Best Settings (Recommended)
🔹 Intraday Trading
Timeframe: 5m / 15m
Depth: 8–10
Deviation: 3–5
Backstep: 2
🔹 Swing Trading (Most Popular)
Timeframe: Daily
Depth: 12–15
Deviation: 5
Backstep: 2
🔹 Long-Term / Investing
Timeframe: Weekly
Depth: 15–20
Deviation: 5–8
Backstep: 3
💡 Tip:
Lower depth = more swings
Higher depth = cleaner, major cycles
📈 How to Use Zig Zag ++ SG (Practically)
🔹 Trend Strength
HH (3+) + HL (2–3)
→ Strong, healthy trend
🔹 Exhaustion Warning
HH (4+)
→ Risk of distribution or slowdown
🔹 Pullback Quality
HL −3% to −7%
→ Strong stock
HL −12% to −20%
→ Weak hands / fragile trend
🔹 Reversal Confirmation
LH followed by LL (2+)
→ Trend change likely
🧪 Who Is This Indicator For?
✅ Swing traders
✅ Positional traders
✅ Long-term investors
✅ Market structure students
✅ Stock researchers
✅ Anyone tired of noisy indicators
❌ Not for:
People wanting instant buy/sell arrows
Scalpers chasing 1-minute signals
“Magic indicator” seekers
💎 Why This Is Worth Purchasing
Built with Pine Script v6 best practices
Solves real market questions
Helps avoid:
Buying late
Selling early
Holding weak stocks too long
Encourages process-driven trading
One-time learning tool you’ll use for years
Most traders lose money not because of entries —
but because they misread structure and cycles.
Zig Zag ++ SG fixes that.
Inside/Outside Bars---
Inside/Outside Bars Detector
This indicator identifies and visualizes Inside Bars and Outside Bars (Engulfing Bars) on your chart, helping traders spot potential breakout and consolidation patterns.
What are Inside/Outside Bars?
• Outside Bars (Outer Bars): Candles that break BOTH the high AND low of the previous candle. These represent periods of increased volatility and potential trend continuation or reversal. Marked with red triangle arrows by default.
• Inside Bars (Inner Bars): Candles where NEITHER the high NOR low breaks the previous candle's range. These represent consolidation and often precede significant price moves. Marked with orange triangle arrows by default.
Features:
✓ Visual arrows above bars for easy identification
✓ Fixed pixel-size arrows that remain visible at any chart zoom level
✓ Statistics table showing counts of outer bars, inner bars, and total bars analyzed
✓ Fully customizable with multiple settings
Customization Options:
• Toggle outer bars and inner bars independently
• Customize arrow colors for each pattern
• Show/hide the statistics table
• Adjust calculation bars (1000 default, max 5000)
• Set to 0 to analyze all available bars up to 5000
How to Use:
Inside bars often indicate consolidation before a breakout, while outside bars suggest increased volatility and potential momentum shifts. Use these patterns in conjunction with your trading strategy to
identify entry/exit points or to confirm trend direction.
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ATH Dip Levels - Buy on Dips
This indicator is a "Buy the Dip" guide designed for assets in long-term uptrends, such as Nasdaq (QQQ) or S&P 500 (SPY). It uses a mathematical discipline to identify accumulation zones based on the rolling 220-bar All-Time High (ATH).
Key Features:
Dynamic Levels: Automatically calculates entry points at 3%, 5%, 10%, 15%, 25%, 35%, and 50% retracements from the recent ATH.
Smart Filter: Each level is triggered only once per ATH cycle. It prevents over-trading in sideways markets; levels only reset when a brand-new high is formed.
Clean Visuals: Features precise "BUY" labels at exact price points and a handy status dashboard in the top-right corner.
Unified Alerts: Simplify your workflow by setting a single alert for all 7 dip levels.
Nifty DTR CE/PE AlertsHow to use this for Nifty Options:
The "Safety" Zone (< 70%): If the dashboard is Green, Nifty still has fuel. This is when "Scalping" or "Trend Following" in options usually works best.
The "Caution" Zone (70% - 90%): The dashboard turns Orange. Be careful buying "Out of the Money" (OTM) calls/puts here; the move is likely reaching its peak.
The "Exhaustion" Zone (> 90%): The dashboard turns Red. Statistically, Nifty rarely exceeds its ATR significantly without a reversal.
Action: Stop adding new buy positions. Consider booking profits on your Nifty Options or look for "Mean Reversion" (shorting the peak).
Sell strategy by SBCan sell at low of the highlighted candles and this works on 5 min time frame with sl and target of 5 points only
Swift-like Algo (V1) Trend Pullback ATR Risk AlimojanidThis indicator is a simple, rule-based trend-following system designed to help identify potential LONG and SHORT opportunities using market structure, momentum, and volatility.
It is inspired by professional “algo-style” tools, but built from scratch for learning, transparency, and flexibility.
🔹 How it works
1️⃣ Trend Detection
Uses Fast EMA vs Slow EMA
Only looks for:
LONGs in bullish trends
SHORTs in bearish trends
2️⃣ Entry Logic
Waits for a pullback toward the fast EMA
Confirms direction using price behavior
Optional RSI filter to avoid weak momentum trades
3️⃣ Risk Management
Stop Loss (SL) and Take Profit (TP) levels are calculated using ATR
Risk is defined in R-multiples (TP1, TP2)
Designed to adapt to market volatility
4️⃣ Visual & Alerts
Clear LONG / SHORT arrows
Automatic SL / TP level plotting
Built-in alert conditions for trade notifications
⚙️ Settings You Can Adjust
EMA lengths (trend sensitivity)
RSI confirmation (on/off)
ATR stop size
Risk-reward targets
Cooldown bars to avoid over-trading
⚠️ Disclaimer
This indicator is NOT a guaranteed trading system and should not be used as financial advice.
Always:
Backtest on your own market and timeframe
Use proper risk management
Paper trade before using real funds
The author is not responsible for any trading losses.
💡 Notes
Best used on trending markets
Works on Forex, Crypto, Indices, and Commodities
Timeframes: 15m and higher recommended
Kadunagra-Pivot Point SuperTrend-trades analysis
📊 Pivot Point SuperTrend Strategy (MA-Filtered, 100% Equity)
This strategy is a trend-following system that combines Pivot Point–based SuperTrend logic with a higher-timeframe Moving Average filter and percentage-based risk control.
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🔹 Core Logic
1️⃣ Trend Detection (Pivot Point SuperTrend)
Uses pivot highs and lows to calculate a dynamic center line
Builds ATR-based upper and lower bands
Determines market trend:
Bullish trend when price breaks above the trailing band
Bearish trend when price breaks below the trailing band
Trend changes generate:
Buy signal → trend flips from bearish to bullish
Sell signal → trend flips from bullish to bearish
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2️⃣ Moving Average Trend Filter (User-Selectable)
A single Moving Average is used as a higher-timeframe confirmation
User can select the MA type from a dropdown:
SMA, EMA, WMA, VWMA, RMA, or HMA
Trade rules:
Long trades only when price is above the selected MA
Short trades only when price is below the selected MA
This helps avoid counter-trend trades and improves signal quality.
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3️⃣ Trade Execution & Position Sizing
Strategy uses 100% of account equity per trade
No pyramiding
Long and short trades are handled symmetrically
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4️⃣ Risk Management (Percentage Stop-Loss)
Uses a fixed percentage stop-loss
Stop-loss is calculated from the actual entry price:
Long SL → Entry Price − SL%
Short SL → Entry Price + SL%
Ensures consistent risk control across all trades
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⏱ Recommended Timeframe & Market
✅ Default / Optimized Use Case
Timeframe: 4-Hour (4H)
Market: BTC (Bitcoin)
MA Length (default): 200 EMA
ATR Factor & Period: Tuned for swing-style trend moves
These default parameters are best suited for 4H BTC based on trend behavior and volatility.
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⚙️ Customization & Flexibility
All parameters are fully adjustable and can be optimized for:
Different timeframes (1H, Daily, etc.)
Other cryptocurrencies or markets
More aggressive or conservative risk profiles
You can modify:
Pivot period
ATR factor & period
MA type and length
Stop-loss percentage
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🧠 Strategy Style Summary
✔ Trend-following
✔ MA-filtered confirmation
✔ No repaint logic
✔ Works best in trending markets
✔ Suitable for swing trading
RSI + martingaleТорговая стратегия основанная на совмещении торговой системы Мартингейл и индекса относительной сила RSI.
Скрипт входит в сделку после пересечения заданных уровней перекупленности и перепроданности RSI. Набирает позицию, по умолчанию умнажая размер каждой докупки x2. Закрывается по тейк-профиту.
A trading strategy based on combining the Martingale trading system and the Relative Strength Index (RSI).
The script enters the trade after crossing the set overbought and oversold levels of the RSI. It takes a position, by default multiplying the size of each additional purchase by x2. It closes with a take profit.
MoneyMakers Scalping Signals1-5 min frame, a versatile market indicator designed to highlight emerging trends and structural shifts in crypto price action before they fully develop. By combining price dynamics, momentum behavior and market context into a clean visual output, it helps traders make more informed decisions without noise or lag. Suitable for both short- and mid-term analysis, the indicator offers a clearer view of potential reversal zones, trend continuations and key market cycles.
