CODY BOT – Breakout SignalsCODY BOT is a minimalist, high-probability breakout indicator designed to keep your chart clean while highlighting actionable trading opportunities.
Unlike traditional indicators that generate too many signals, CODY BOT only alerts you to strong directional moves following consolidation, helping you focus on high-quality entries.
Key Features:
Detects breakouts above recent highs and below recent lows.
Filters weak moves using minimum candle body size.
Includes a cooldown period to prevent signal spam.
Clean and intuitive visual signals with large arrows for easy interpretation.
Optional customization for consolidation lookback bars, minimum candle size, and arrow visibility.
Alerts built-in for server-side and mobile notifications.
How to Use:
Look for BUY arrows when price breaks above consolidation highs.
Look for SELL arrows when price breaks below consolidation lows.
Combine with your preferred risk management and trend confirmation strategies.
Indikatoren und Strategien
Madrid Ribbon with ST/TEMA FilterHow the Combination Works
The script is combined by:
Porting to Pine Script v6: The Madrid Ribbon code was updated from v4 to v6 syntax (mainly changing study() to indicator(), change() to ta.change(), and using ta. prefixes for built-in functions like ema and sma).
Integrating SuperTrend Logic: The full calculation for the Zero-lag TEMA filtered SuperTrend's final_trend was copied into the combined script. This logic determines if the market is in a confirmed 1 (Uptrend) or -1 (Downtrend) based on the combined signal of the TEMA cross and the SuperTrend.
Filtering the Ribbon Color: The Madrid Ribbon's custom coloring function, maColor, was modified to include the final_trend as a filter:
If i_st_enabled is true, the original Madrid Ribbon color (LIME/GREEN for bullish, RUBI/MAROON for bearish) is only displayed if the final_trend confirms that direction.
If the final_trend is neutral or contradicts the ribbon's direction, the MA is colored GRAY.
Input Simplification: The numerous input options for the SuperTrend's source and MA type were simplified to use close and EMA by default to avoid excessive complexity, but the main parameters like TEMA periods, ATR Multiplier, and MA length were kept as inputs.
This results in a Madrid Ribbon that only shows its standard color signals when the longer-term, double-filtered SuperTrend confirms the same trend.
3-Bar Inversion Pattern (Entry & Invalidation Levels)Very simple 3-bar inversion pattern looking for a bar that extends in the previous bar's direction, bar 2 having a body no bigger than 50% of bar 1's. and Bar 3 having a body close beyond the open of bar 1. Invalidation is set to the highest point of the 3 par pattern.
Equal Highs & Lows Strategy // ------------------------------------------------------------------------------
// 🧠 THE MARKET PSYCHOLOGY (WHY THIS WORKS):
// ------------------------------------------------------------------------------
// 1. THE MAGNET THEORY:
// "Equal Highs" (EQH) and "Equal Lows" (EQL) are not random. They represent
// Retail Support and Resistance. Retail traders are taught to put Stop Losses
// just above Double Tops or just below Double Bottoms.
// - Therefore, these lines represent massive pools of LIQUIDITY (Money).
// - Price is often engineered to move toward these lines to "unlock" that money.
//
// 2. THE INSTITUTIONAL TRAP (STOP HUNTS):
// Institutions need liquidity to fill large orders without slippage.
// - To Buy massive amounts, they need many Sellers -> They push price BELOW EQL
// to trigger retail Sell Stops.
// - To Sell massive amounts, they need many Buyers -> They push price ABOVE EQH
// to trigger retail Buy Stops.
//
// 3. THE STRATEGY (TURTLE SOUP):
// We do not trade the initial touch. We wait for the "Sweep & Reclaim".
// - Bullish Signal (GRAB ⬆): Price drops below the Green Line (EQL), grabs the
// stops, but buyers step in and force the candle to CLOSE back above the line.
// - Bearish Signal (GRAB ⬇): Price spikes above the Red Line (EQH), grabs the
// stops, but sellers step in and force the candle to CLOSE back below the line.
// ------------------------------------------------------------------------------
HMA 34 Dual-Fractal Projections - VdubusVdubus MacD Divergence Trend Break Signal Generator :Here:-
HMA 18 Dual-Fractal Projections
Overview
The HMA 18 Dual-Fractal Projections is a technical analysis tool designed to identify market structure and potential breakout patterns by analyzing the pivots of a Hull Moving Average (HMA).
Unlike standard trendline indicators that struggle to balance "big picture" trends with immediate price action, this indicator utilizes a Dual-Fractal approach. It simultaneously calculates two separate timelines—Macro and Micro—to visualize both the dominant channel and the developing chart patterns (such as wedges or triangles) in real-time.
Visual Guide
The indicator plots three key elements on the main chart:
The HMA Line (Blue): A smooth, fast-acting moving average (default length 34) that serves as the baseline for all calculations.
Macro Structure (Solid, Thick Lines):
Red (Solid): Major Resistance.
Green (Solid): Major Support.
Purpose: Identifies the long-term trend channel. These lines react slowly and filter out noise.
Micro Structure (Dashed, Thin Lines):
Red (Dashed): Immediate Resistance.
Green (Dashed): Immediate Support.
Purpose: Identifies the short-term market structure. These lines react quickly to show forming wedges, triangles, or flags.
How It Works
The indicator applies a "Pivot High/Low" algorithm directly to the HMA data rather than raw price data. This filters out candle wicks and volatility, ensuring lines are drawn based on established momentum shifts.
Layer 1 (Macro): Uses a large "Lookback" period (default 44 bars) to find significant peaks and valleys. It connects the most recent major pivot to the previous one, projecting a line forward to show where the major trend channel lies.
Layer 2 (Micro): Uses a small "Lookback" period (default 10 bars) to find local peaks and valleys. This allows you to see how price is behaving within the larger channel.
Settings & Configuration
HMA Settings
HMA Length: The length of the Hull Moving Average.
Default: 34 (Matches the "visually pleasing" setting from recent testing).
Note: Set to 18 for a faster, more reactive baseline (scalping).
Layer 1: Macro (Big Channel)
Macro Lookback: Determines how many bars must pass before a peak is confirmed.
Default: 44. High values find broad, established channels.
Max Macro Lines: How many historical lines to keep on the chart.
Default: 1 (Keeps the chart clean, showing only the current structure).
Extend Macro Lines: Projects the lines infinitely to the right to predict future support/resistance zones.
Layer 2: Micro (Current Pattern)
Micro Lookback: A lower sensitivity setting to catch immediate structure.
Default: 10. Low values will pinpoint the exact boundaries of small wedges or flags forming right now.
Trading Strategy & Interpretation
1. The "Squeeze" (Wedge Identification) This is the primary use case.
Look for scenarios where the Macro Lines (Solid) are wide/parallel, but the Micro Lines (Dashed) are rapidly converging (pointing towards each other).
This indicates that while the main trend is intact, momentum is compressing. A breakout is imminent where the dashed lines intersect.
2. Trend Channels
When both Solid and Dashed lines are roughly parallel and sloping in the same direction, the trend is healthy and strong. Price is respecting both the short-term and long-term momentum.
3. Divergence / Early Reversal Warning
If the Macro Line is sloping UP, but the Micro Line starts sloping DOWN (crossing inside), it indicates a loss of momentum and a potential reversal before the price actually breaks the major trendline.
===========================================================================
2. Micro/Macro Cross Alert
A new input, Enable Micro/Macro Cross Alert, has been added under the "Alerts & Features" section.
This alert condition is triggered when the momentum of the Micro Structure exceeds the momentum of the Macro Structure, which is a high-probability signal for a breakout:
Bullish Alert: The Micro High (dashed red line) crosses above the Macro High (solid red line).
Bearish Alert: The Micro Low (dashed green line) crosses below the Macro Low (solid green line).
To set up the actual alert on your chart:
Right-click on the chart.
Select "Add alert on HMA 34 Dual-Fractal Projections".
In the Condition dropdown, select the indicator's name.
For the main alert criteria, choose "Any alert()".
Select your preferred alert actions (e.g., notification, email).
Fed Rate ProbabilityFed Rate Probability – Simple & Clean v2.0
Real-time composite score (0–100) for the next Fed move: Rate Cut, Hike or Hold
Overview
A clean, all-in-one indicator that combines the most reliable market signals into two easy-to-read lines:
• Red line → Probability of RATE CUT
• Blue line → Probability of RATE HIKE
• Hold score = 100 – max(cut, hike)
The dominant signal (CUT / HOLD / HIKE) is highlighted in the information table.
Key Features
Automatic daily data from FRED (DFF, 3M/1M/2Y/10Y yields)
Smart fallback to TradingView native symbols (US01MY, US03MY, US02Y, US10Y) when FRED is unavailable
Manual CME FedWatch probability override (perfect for weekends/holidays)
Historical Fed rate cut/hike markers with background shading and labels
Colored probability zones + customizable threshold lines
Threshold-crossing labels and full alert suite
Special alert on 2Y-10Y yield curve un-inversion (strong historical precursor to rate cuts)
Detailed summary table with current spreads, scores and dominant signal
Fully customizable: enable/disable each component, adjust weights indirectly via toggles, change smoothing, thresholds, colors, etc.
Score Composition (0–100 points)
T-bills vs Fed Funds spread – max 50 pts (with persistence & 1M confirmation bonus)
2-Year Treasury vs Fed Funds spread – max 30 pts (or direct CME probability input)
2Y-10Y yield curve behavior – max 20 pts (inversion depth + large bonus on steepening after un-inversion)
Interpretation
0–40 → Low probability
40–60 → Moderate
60–75 → High
75–100 → Very High / Almost certain
Why this indicator?
Instead of checking FRED, CME FedWatch, yield curves and T-bill spreads separately, get everything in one pane with a clear, smoothed composite score and instant alerts when the market starts pricing a Fed move aggressively.
Disclaimer
This is a decision-support tool based on historical relationships and current market pricing. It is not financial advice and past performance is no guarantee of future results.
Enjoy and trade safe! 🚀
RenkoFlowRenkoFlow – Real Renko, Clean & Color-Coded
Track price like a pro: See bullish and bearish blocks instantly.
Works for any asset: Low-priced coins? No problem.
Alerts ready: Get notified on new Renko blocks.
Fully customizable: Brick size, line color, and width.
Clean & intuitive: Perfect for fast decision-making.
US Market Long Horizon Momentum Summary in one paragraph
US Market Long Horizon Momentum is a trend following strategy for US index ETFs and futures built around a single eighteen month time series momentum measure. It helps you stay long during persistent bull regimes and step aside or flip short when long term momentum turns negative.
Scope and intent
• Markets. Large cap US equity indices, liquid US index ETFs, index futures
• Timeframes. 4h/ Daily charts
• Default demo used in the publication. SPY on 4h timeframe chart
• Purpose. Provide a minimal long bias index timing model that can reduce deep drawdowns and capture major cycles without parameter mining
• Limits. This is a strategy. Orders are simulated on standard candles only
Originality and usefulness
• Unique concept or fusion. One unscaled multiple month log return of an external benchmark symbol drives all entries and exits, with optional volatility targeting as a single risk control switch.
• Failure mode addressed. Fully passive buy and hold ignores the sign of long horizon momentum and can sit through multi year drawdowns. This script offers a way to step down risk in prolonged negative momentum without chasing short term noise.
• Testability. All parameters are visible in Inputs and the momentum series is plotted so users can verify every regime change in the Tester and on price history.
• Portable yardstick. The log return over a fixed window is a unit that can be applied to any liquid symbol with daily data.
Method overview in plain language
The method looks at how far the benchmark symbol has moved in log return terms over an eighteen month window in our example. If that long horizon return is positive the strategy allows a long stance on the traded symbol. If it is negative and shorts are enabled the strategy can flip short, otherwise it goes flat. There is an optional realised volatility estimate on the traded symbol that can scale position size toward a target annual volatility, but in the default configuration the model uses unit leverage and only the sign of momentum matters.
Base measures
Return basis. The core yardstick is the natural log of close divided by the close eighteen months ago on the benchmark symbol. Daily log returns of the traded symbol feed the realised volatility estimate when volatility targeting is enabled.
Components
• Component one Momentum eighteen months. Log of benchmark close divided by its close mom_lookback bars ago. Its sign defines the trend regime. No extra smoothing is applied beyond the long window itself.
• Component two Realised volatility optional. Standard deviation of daily log returns on the traded symbol over sixty three days. Annualised by the square root of 252. Used only when volatility targeting is enabled.
• Optional component Volatility targeting. Converts target annual volatility and realised volatility into a leverage factor clipped by a maximum leverage setting.
Fusion rule
The model uses a simple gate. First compute the sign of eighteen month log momentum on the benchmark symbol. Optionally compute leverage from volatility. The sign decides whether the strategy wants to be long, short, or flat. Leverage only rescales position size when enabled and does not change direction.
Signal rule
• Long suggestion. When eighteen month log momentum on the benchmark symbol is greater than zero, the strategy wants to be long.
• Short suggestion. When that log momentum is less than zero and shorts are allowed, the strategy wants to be short. If shorts are disabled it stays flat instead.
• Wait state. When the log momentum is exactly zero or history is not long enough the strategy stays flat.
• In position. In practice the strategy sits IN LONG while the sign stays positive and flips to IN SHORT or flat only when the sign changes.
Inputs with guidance
Setup
• Momentum Lookback (months). Controls the horizon of the log return on the benchmark symbol. Typical range 6 to 24 months. Raising it makes the model slower and more selective. Lowering it makes it more reactive and sensitive to medium term noise.
• Symbol. External symbol used for the momentum calculation, SPY by default. Changing it lets you time other indices or run signals from a benchmark while trading a correlated instrument.
Logic
• Allow Shorts. When true the strategy will open short positions during negative momentum regimes. When false it will stay flat whenever momentum is negative. Practical setting is tied to whether you use a margin account or an ETF that supports shorting.
Internal risk parameters (not exposed as inputs in this version) are:
• Target Vol (annual). Target annual volatility for volatility targeting, default 0.2.
• Vol Lookback (days). Window for realised volatility, default 63 trading days.
• Max Leverage. Cap on leverage when volatility targeting is enabled, default 2.
Usage recipes
Swing continuation
• Signal timeframe. Use the daily chart.
• Benchmark symbol. Leave at SPY for US equity index exposure.
• Momentum lookback. Eighteen months as a default, with twelve months as an alternative preset for a faster swing bias.
Properties visible in this publication
• Initial capital. 100000
• Base currency. USD
• Default order size method. 5% of the total capital in this example
• Pyramiding. 0
• Commission. 0.03 percent
• Slippage. 3 ticks
• Process orders on close. On
• Bar magnifier. Off
• Recalculate after order is filled. Off
• Calc on every tick. Off
• All request.security calls use lookahead = barmerge.lookahead_off
Realism and responsible publication
The strategy is for education and research only. It does not claim any guaranteed edge or future performance. All results in Strategy Tester are hypothetical and depend on the data vendor, costs, and slippage assumptions. Intrabar motion is not modeled inside daily bars so extreme moves and gaps can lead to fills that differ from live trading. The logic is built for standard candles and should not be used on synthetic chart types for execution decisions.
Performance is sensitive to regime structure in the US equity market, which may change over time. The strategy does not protect against single day crash risk inside bars and does not model gap risk explicitly. Past behavior of SPY and the momentum effect does not guarantee future persistence.
Honest limitations and failure modes
• Long sideways regimes with small net change over eighteen months can lead to whipsaw around the zero line.
• Very sharp V shaped reversals after deep declines will often be missed because the model waits for momentum to turn positive again.
• The sample size in a full SPY history is small because regime changes are infrequent, so any test must be interpreted as indicative rather than statistically precise.
• The model is highly dependent on the chosen lookback. Users should test nearby values and validate that behavior is qualitatively stable.
Legal
Education and research only. Not investment advice. You are responsible for your own decisions. Always test on historical data and in simulation with realistic costs before any live use.
Credit Spread RegimeThe Credit Market as Economic Barometer
Credit spreads are among the most reliable leading indicators of economic stress. When corporations borrow money by issuing bonds, investors demand a premium above the risk-free Treasury rate to compensate for the possibility of default. This premium, known as the credit spread, fluctuates based on perceptions of economic health, corporate profitability, and systemic risk.
The relationship between credit spreads and economic activity has been studied extensively. Two papers form the foundation of this indicator. Pierre Collin-Dufresne, Robert Goldstein, and Spencer Martin published their influential 2001 paper in the Journal of Finance, documenting that credit spread changes are driven by factors beyond firm-specific credit quality. They found that a substantial portion of spread variation is explained by market-wide factors, suggesting credit spreads contain information about aggregate economic conditions.
Simon Gilchrist and Egon Zakrajsek extended this research in their 2012 American Economic Review paper, introducing the concept of the Excess Bond Premium. They demonstrated that the component of credit spreads not explained by default risk alone is a powerful predictor of future economic activity. Elevated excess spreads precede recessions with remarkable consistency.
What Credit Spreads Reveal
Credit spreads measure the difference in yield between corporate bonds and Treasury securities of similar maturity. High yield bonds, also called junk bonds, carry ratings below investment grade and offer higher yields to compensate for greater default risk. Investment grade bonds have lower yields because the probability of default is smaller.
The spread between high yield and investment grade bonds is particularly informative. When this spread widens, investors are demanding significantly more compensation for taking on credit risk. This typically indicates deteriorating economic expectations, tighter financial conditions, or increasing risk aversion. When the spread narrows, investors are comfortable accepting lower premiums, signaling confidence in corporate health.
The Gilchrist-Zakrajsek research showed that credit spreads contain two distinct components. The first is the expected default component, which reflects the probability-weighted cost of potential defaults based on corporate fundamentals. The second is the excess bond premium, which captures additional compensation demanded beyond expected defaults. This excess premium rises when investor risk appetite declines and financial conditions tighten.
The Implementation Approach
This indicator uses actual option-adjusted spread data from the Federal Reserve Economic Database (FRED), available directly in TradingView. The ICE BofA indices represent the industry standard for measuring corporate bond spreads.
The primary data sources are FRED:BAMLH0A0HYM2, the ICE BofA US High Yield Index Option-Adjusted Spread, and FRED:BAMLC0A0CM, the ICE BofA US Corporate Index Option-Adjusted Spread for investment grade bonds. These indices measure the spread of corporate bonds over Treasury securities of similar duration, expressed in basis points.
Option-adjusted spreads account for embedded options in corporate bonds, providing a cleaner measure of credit risk than simple yield spreads. The methodology developed by ICE BofA is widely used by institutional investors and central banks for monitoring credit conditions.
The indicator offers two modes. The HY-IG excess spread mode calculates the difference between high yield and investment grade spreads, isolating the pure compensation for below-investment-grade credit risk. This measure is less affected by broad interest rate movements. The HY-only mode tracks the absolute high yield spread, capturing both credit risk and the overall level of risk premiums in the market.
Interpreting the Regimes
Credit conditions are classified into four regimes based on Z-scores calculated from the spread proxy.
The Stress regime occurs when spreads reach extreme levels, typically above a Z-score of 2.0. At this point, credit markets are pricing in significant default risk and economic deterioration. Historically, stress regimes have coincided with recessions, financial crises, and major market dislocations. The 2008 financial crisis, the 2011 European debt crisis, the 2016 commodity collapse, and the 2020 pandemic all triggered credit stress regimes.
The Elevated regime, between Z-scores of 1.0 and 2.0, indicates above-normal risk premiums. Credit conditions are tightening. This often occurs in the build-up to stress events or during periods of uncertainty. Risk management should be heightened, and exposure to credit-sensitive assets may be reduced.
The Normal regime covers Z-scores between -1.0 and 1.0. This represents typical credit conditions where spreads fluctuate around historical averages. Standard investment approaches are appropriate.
The Low regime occurs when spreads are compressed below a Z-score of -1.0. Investors are accepting below-average compensation for credit risk. This can indicate complacency, strong economic confidence, or excessive risk-taking. While often associated with favorable conditions, extremely tight spreads sometimes precede sudden reversals.
Credit Cycle Dynamics
Beyond static regime classification, the indicator tracks the direction and acceleration of spread movements. This reveals where credit markets stand in the credit cycle.
The Deteriorating phase occurs when spreads are elevated and continuing to widen. Credit conditions are actively worsening. This phase often precedes or coincides with economic downturns.
The Recovering phase occurs when spreads are elevated but beginning to narrow. The worst may be over. Credit conditions are improving from stressed levels. This phase often accompanies the early stages of economic recovery.
The Tightening phase occurs when spreads are low and continuing to compress. Credit conditions are very favorable and improving further. This typically occurs during strong economic expansions but may signal building complacency.
The Loosening phase occurs when spreads are low but beginning to widen from compressed levels. The extremely favorable conditions may be normalizing. This can be an early warning of changing sentiment.
Relationship to Economic Activity
The predictive power of credit spreads for economic activity is well-documented. Gilchrist and Zakrajsek found that the excess bond premium predicts GDP growth, industrial production, and unemployment rates over horizons of one to four quarters.
When credit spreads spike, the cost of corporate borrowing increases. Companies may delay or cancel investment projects. Reduced investment leads to slower growth and eventually higher unemployment. The transmission mechanism runs from financial conditions to real economic activity.
Conversely, tight credit spreads lower borrowing costs and encourage investment. Easy credit conditions support economic expansion. However, excessively tight spreads may encourage over-leveraging, planting seeds for future stress.
Practical Application
For equity investors, credit spreads provide context for market risk. Equities and credit often move together because both reflect corporate health. Rising credit spreads typically accompany falling stock prices. Extremely wide spreads historically have coincided with equity market bottoms, though timing the reversal remains challenging.
For fixed income investors, spread regimes guide sector allocation decisions. During stress regimes, flight to quality favors Treasuries over corporates. During low regimes, spread compression may offer limited additional return for credit risk, suggesting caution on high yield.
For macro traders, credit spreads complement other indicators of financial conditions. Credit stress often leads equity volatility, providing an early warning signal. Cross-asset strategies may use credit regime as a filter for position sizing.
Limitations and Considerations
FRED data updates with a lag, typically one business day for the ICE BofA indices. For intraday trading decisions, more current proxies may be necessary. The data is most reliable on daily timeframes.
Credit spreads can remain at extreme levels for extended periods. Mean reversion signals indicate elevated probability of normalization but do not guarantee timing. The 2008 crisis saw spreads remain elevated for many months before normalizing.
The indicator is calibrated for US credit markets. Application to other regions would require different data sources such as European or Asian credit indices. The relationship between spreads and subsequent economic activity may vary across market cycles and structural regimes.
References
Collin-Dufresne, P., Goldstein, R.S., and Martin, J.S. (2001). The Determinants of Credit Spread Changes. Journal of Finance, 56(6), 2177-2207.
Gilchrist, S., and Zakrajsek, E. (2012). Credit Spreads and Business Cycle Fluctuations. American Economic Review, 102(4), 1692-1720.
Krishnamurthy, A., and Muir, T. (2017). How Credit Cycles across a Financial Crisis. Working Paper, Stanford University.
MTF OB & FVG detector w/ Alerts v2# MTF Order Blocks & Fair Value Gaps Detector with Alerts v2
## Overview
This indicator combines **Multi-Timeframe Order Blocks (OB)** and **Fair Value Gaps (FVG)** detection with integrated bounce alerts. It displays Order Blocks and Fair Value Gaps across multiple timeframes simultaneously and generates real-time alerts when price bounces from these critical zones.
## Key Features
### 🎯 Multi-Timeframe Order Blocks Detection
- **Volumetric Analysis**: Each Order Block displays total volume and dominant side percentage
- **Multiple Timeframes**: Supports 1min, 3min, 5min, 15min, and 60min timeframes
- **Smart Combining**: Automatically merges overlapping Order Blocks from different timeframes into powerful confluence zones
- **Dynamic Extension**: Order Blocks extend until broken, providing clear visual guidance
- **Volume Distribution**: Shows bullish vs bearish volume breakdown with percentage
### 📊 Fair Value Gaps (FVG) Detection
- **Lightweight Processing**: Works on current chart timeframe only for optimal performance
- **Volume Metrics**: Displays FVG volume and dominant side percentage
- **Mitigation Tracking**: Automatically tracks when FVGs are filled or broken
- **Customizable Mitigation Source**: Choose between close price or high/low wicks
### 🔔 Comprehensive Alert System
- **Bounce Alerts**: Get notified when price bounces from OB or FVG zones
- **New Formation Alerts**: Alerts when new Order Blocks or Fair Value Gaps form
- **Combined Zone Alerts**: Special alerts when multiple Order Blocks merge into strong confluence zones
- **Customizable Thresholds**: Set minimum number of combined OBs required for strong zone alerts
### 🎨 Visual Customization
- **Inverted Color Schemes**: Optional inverted colors for both OB and FVG
- OB: Choose between traditional (Bullish=Blue, Bearish=Red) or inverted (Bullish=Red, Bearish=Blue)
- FVG: Choose between Bullish=Orange/Bearish=Aqua or inverted
- **Clean Labels**: Shows timeframe, zone type, volume, and dominant percentage
- **Combined Tags**: Optional labels for merged zones
- **Adjustable Extension**: Control how far zones extend into the future
## How It Works
### Order Blocks
Order Blocks identify institutional trading zones where large players have placed significant orders. The indicator:
1. Detects swing highs/lows using configurable swing length
2. Identifies the last opposing candle before a strong move
3. Analyzes volume distribution (bullish vs bearish)
4. Tracks zone validity until price breaks through
5. Combines overlapping zones from multiple timeframes
### Fair Value Gaps
Fair Value Gaps represent price imbalances that often get filled. The indicator:
1. Identifies 3-candle patterns with gaps between candles
2. Filters gaps by size percentile to show only significant ones
3. Calculates volume distribution within the gap
4. Tracks mitigation when price returns to fill the gap
5. Extends gaps dynamically until filled
### Bounce Detection
The indicator detects bounces using a two-step process:
1. **Touch Phase**: Tracks when price enters a zone (touchedInside flag)
2. **Bounce Phase**: Confirms bounce when price exits the zone in the expected direction
- Bullish zones: Price closes above top after touching inside
- Bearish zones: Price closes below bottom after touching inside
## Settings Guide
### General Configuration
- **Show Historic Zones**: Display invalidated/broken zones
- **Zone Invalidation**: Choose between wick or close for break detection
- **Combine Overlapping Order Blocks**: Merge OBs from different timeframes
- **Swing Length**: Controls sensitivity (smaller = more OBs, larger = fewer OBs)
- **Zone Count**: Choose from High/Medium/Low/One per timeframe
- **Invert Colors OB**: Swap bullish/bearish color scheme
### Alert Settings
- **Enable Alerts**: Master switch for all alerts
- **Alert on Bullish/Bearish Bounce**: Choose which bounce directions to monitor
- **Alert on New OB Formation**: Get notified when new Order Blocks form
- **Alert on Combined OBs**: Alerts for strong confluence zones
- **Min OBs for Strong Zone Alert**: Threshold for combined zone alerts (default: 2)
### Fair Value Gaps
- **Show Fair Value Gaps**: Toggle FVG display
- **FVG Mitigation Source**: Choose close or high/low for mitigation detection
- **Bullish/Bearish FVG**: Enable/disable each type
- **Invert FVG Colors**: Swap FVG color scheme
### Multi-Timeframe
- **Show Lower Timeframes**: Display OBs from timeframes lower than chart
- **Individual Timeframe Toggles**: Enable/disable 1min, 3min, 5min, 15min, 60min
### Style
- **Text Color**: Customize label text color
- **Extend Zones**: Set extension length in bars (default: 40)
- **Show Tag**: Display combined indicator in merged zone labels
## Usage Tips
### For Day Trading
- Enable 1min, 3min, and 5min timeframes
- Use "High" zone count for more trading opportunities
- Watch for bounces from combined zones (highest probability)
### For Swing Trading
- Enable 15min, 60min, and higher timeframes
- Use "Medium" or "Low" zone count for major zones only
- Focus on combined zones with 3+ timeframes
### For Scalping
- Use current timeframe only (disable MTF)
- Enable both OB and FVG
- Set up alerts for quick bounce notifications
### Alert Setup
1. Click "Create Alert" in TradingView
2. Choose from available alert conditions:
- **Bullish Bounce (OB/FVG)**: Long entry opportunities
- **Bearish Bounce (OB/FVG)**: Short entry opportunities
- **New OB Formation**: Early zone identification
- **Strong Combined Zone**: High-probability confluence areas
3. Set alert frequency to "Once Per Bar Close" to avoid false signals
## Technical Details
### Performance Optimizations
- Maximum 100 boxes/labels for efficient rendering
- Lightweight FVG processing on current timeframe only
- Dynamic memory management with array size limits
- Selective rendering of active zones only
### Calculations
- **ATR Multiplier**: Zones exceeding 3.5x ATR are filtered out
- **Volume Percentage**: `max(bullVol, bearVol) / totalVolume × 100`
- **FVG Size Filter**: Uses 100th percentile of last 1000 gaps
- **Overlap Detection**: Uses intersection/union ratio for combining zones
## Credits & License
This indicator combines and enhances concepts from:
- "Volumized Order Blocks" methodology
- "Volumatic Fair Value Gaps" approach
**License**: Mozilla Public License 2.0 (MPL-2.0)
## Disclaimer
This indicator is provided for **educational and informational purposes only**. Trading involves substantial risk of loss and is not suitable for every investor. Past performance is not indicative of future results. Always do your own research and consult with a licensed financial advisor before making trading decisions.
## Version History
**v2 (Current)**
- Combined OB and FVG into single indicator
- Added comprehensive alert system
- Improved performance with lightweight FVG processing
- Enhanced bounce detection with touch-inside logic
- Added volume metrics to zone labels
- Implemented dynamic zone extension until broken
- Added combined zone detection with configurable thresholds
---
### Chart Examples
The indicator displays:
- **Red Zones** (Inverted): Bullish Order Blocks / Bearish FVGs
- **Blue Zones** (Inverted): Bearish Order Blocks / Bullish FVGs
- **Orange Zones** (Inverted): Bullish Fair Value Gaps
- **Aqua Zones** (Inverted): Bearish Fair Value Gaps
Each zone shows:
- Timeframe label (e.g., "5m", "15m", "1H")
- Zone type (OB or FVG)
- Total volume in millions (e.g., "12.5M")
- Dominant side percentage (e.g., "85%")
**Example Label**: ` 5m & 15m OB 45.2M (78%)`
- Combined zone from 5min and 15min timeframes
- Order Block type
- 45.2 million total volume
- 78% volume on dominant side
---
## Support & Updates
For issues, suggestions, or questions, please leave a comment on the indicator page.
**Author**: © rasukaru666
**Compatible with**: TradingView Pine Script v6
Advanced Bollinger Bands Optimized - Precision SignalsThis indicator creates an advanced Bollinger Bands system with integrated ATR bands and intelligent trading signals. It features:
**Core Components:**
- Standard Bollinger Bands (20-period SMA with 1.382 standard deviations)
- ATR-based outer bands expanding on the Bollinger Bands
- Dynamic bandwidth analysis using Z-Score to measure current volatility relative to historical levels
**Market State Detection:**
Identifies five market conditions based on bandwidth Z-Score:
- Extreme Squeeze (ultra-low volatility)
- Squeeze (low volatility)
- Normal (average volatility)
- Expansion (high volatility)
- Extreme Expansion (ultra-high volatility)
**Signal System:**
Generates 5 bullish and 5 bearish signals:
*Bullish Signals:*
1. Bottom Divergence - Price makes new lows while Z-Score is relatively high
2. Width Reversal - Bandwidth rebounds from extreme squeeze
3. Extreme Squeeze Reversal - Recovery from extreme volatility compression
4. Squeeze Breakout Up - Price breaks above upper band during squeeze
5. State Transition - Market transitions from squeeze to expansion
*Bearish Signals:*
1. Top Divergence - Price makes new highs while Z-Score is relatively low
2. Width Reversal - Bandwidth declines from extreme expansion
3. Extreme Expansion Reversal - Contraction from extreme volatility expansion
4. Squeeze Breakout Down - Price breaks below lower band during squeeze
5. State Transition - Market transitions from expansion to squeeze
**Features:**
- Real-time signal table showing active signals
- Adjustable sensitivity parameters for divergence, reversal, and breakout signals
- Signal cooldown system to prevent duplicate alerts
- Clean visual display with band fills and alert markers
- No additional external indicators required
This tool helps traders identify volatility changes, trend reversals, and breakout opportunities using only price data and bandwidth analysis.
HTF Candles & Levels Visualizer - SRHTF Candles & Levels Visualizer is a clean higher‑timeframe visualization tool designed to complement any trading strategy by giving clear context of larger‑TF structure directly on your current chart. It plots the previous high and low for up to three user‑selectable timeframes, and draws them as extended levels with optional labels, making it easy to see where current price sits relative to key higher‑timeframe zones.
The script also renders compact proxy candles for each selected timeframe to the right of current price, so you can visually track HTF candle development without switching charts. Each HTF slot has independent settings: timeframe, color, number of displayed candles, and visibility toggles, along with global controls for line style, label size, candle spacing, and colors.
This tool does not generate trading signals; it focuses purely on multi‑timeframe context and market structure visualization to support your own entries, exits, and risk management.
AlphaTrend | APEX [Singularity]This is a customized Trend Tracer style system designed to capture high-quality moves while filtering out noise. It combines three core "Engines":
1. Kinetic Trend Engine (The "Ribbon")
Logic: Uses a Dual-ALMA Ribbon (Arnaud Legoux Moving Average).
Fast Line (Leader): Responsive, hugs price.
Slow Line (Laggard): Smooth, validates structure.
Signals: "BUY" and "SELL" labels trigger exactly when the ribbon twists (Crossover/Crossunder).
Filters:
Entropy & Hurst: Measures market chaos. The ribbon turns Gray/Faded during choppy conditions to warn against trading.
2. Flow Engine (Whale Validation)
Whale Volume: Checks for relative volume spikes (> 1.2x average) and Money Flow intensity.
Confirmation: Signals are stronger when accompanied by the Whale Icon (🐋), indicating institutional participation.
3. Liquidity Magnets (Targets)
Logic: Automatically detects recent Swing Highs and Lows.
Visuals: Dashed lines extend forward to act as dynamic Support/Resistance levels or Take Profit targets.
Behavior: Lines disappear when price tests (breaks) them, indicating "Liquidity Taken".
Visuals
Cloud: Dynamic Green/Red fill between the ribbon lines.
HUD: Heads-Up Display showing current Trend, Market State (Clean/Chop), Flow Status, and Active Magnets.
Labels: Clean "Tag" style labels for entry signa
Quantum Uncertainty by Kingshuk GhoshLet me explain this indicator in simple, practical terms, including the fascinating physics concept that inspired me.
This indicator helps to understand when the market is predictable (safe to trade) versus unpredictable (risky to trade). It shows the probability zones where price is likely to move and warns you when conditions are too chaotic for reliable trading.
The Physics Behind It: Heisenberg's Uncertainty Principle:-
This indicator is inspired by one of the most profound discoveries in physics: Heisenberg's Uncertainty Principle.
What Is The Uncertainty Principle?
In 1927, physicist Werner Heisenberg discovered something remarkable about the universe: you cannot simultaneously know both the exact position and exact momentum of a particle with perfect precision. The more accurately you know one, the less accurately you can know the other.
Simple Analogy:
Imagine trying to photograph a speeding bullet:
Use fast shutter speed → You see exactly WHERE it is (position), but the image is frozen, so you can't tell HOW FAST it's moving (momentum)
Use slow shutter speed → You see motion blur showing HOW FAST it's moving (momentum), but you can't pinpoint exactly WHERE it is (position)
You can never have both perfect clarity simultaneously - there's always a trade-off.
How This Applies To Trading
The indicator translates this principle to financial markets:
In Physics:
Position Uncertainty × Momentum Uncertainty = Always greater than a minimum value
High uncertainty in one means high uncertainty overall
In Trading:
Price Position Uncertainty = How much the price bounces around (volatility)
Price Momentum Uncertainty = How erratic the directional strength is
Total Market Uncertainty = Price Volatility × Momentum Volatility
The Trading Insight:
Just like in physics, when BOTH price position and momentum are uncertain (highly volatile), the market becomes fundamentally unpredictable. You can't reliably know where price will go next because the system is in high uncertainty state.
Why This Matters For You
Traditional indicators often look at price OR momentum separately. This indicator recognizes that both must be considered together to truly understand market predictability, just as Heisenberg showed that position and momentum must be considered together in physics.
When both uncertainties are high simultaneously:
Price could jump anywhere
Momentum could shift instantly
Predictions become unreliable
Trading becomes gambling
When both uncertainties are low:
Price behavior is more regular
Momentum is more stable
Patterns become clearer
Trading becomes strategic
This is why the indicator's core metric multiplies price volatility by momentum volatility - it's capturing that fundamental uncertainty relationship.
Market Uncertainty
The indicator calculates how unpredictable the market currently is by examining:
How much price is bouncing around (price volatility)
How erratic the momentum is (momentum instability)
When both are high simultaneously, the market becomes highly unpredictable. When both are calm, the market is more reliable for trading.
Think of it like driving:
Low uncertainty = Clear road, good visibility, safe to drive
High uncertainty = Fog, rain, poor visibility, dangerous conditions
Probability Bands
The indicator draws colored bands around a central average price line:
White Center Line (Basis)
The average price over your lookback period
Acts as a equilibrium point where price gravitates
Blue Bands (Inner Zone)
Covers about 68% of normal price behavior
Price spends most of its time here
This is the "normal operating range"
Purple Bands (Outer Zone)
Covers about 95% of all price behavior
Price rarely ventures here
When it does, it's unusual and noteworthy
Highway Lane Analogy:
Most drivers stay in center lanes (blue zone)
Few drivers use extreme outer lanes (purple zone)
When someone drives on the shoulder, it's abnormal and signals something is happening
Wave Function Collapse
Another physics concept applied here: In quantum mechanics, particles exist in multiple states simultaneously (superposition) until they're measured - then the "wave function collapses" to a single state.
In This Indicator:
The probability bands represent all the possible states price could be in. When price moves and settles at a specific level, it's like the wave function collapsing - probability becomes reality.
The indicator helps you see:
Where price is most likely to be (high probability zones - blue bands)
Where price rarely goes (low probability zones - purple bands)
When price is in an "impossible" state (outside bands - tunneling)
Price Position
The indicator tracks where current price sits within these bands:
Upper position = Price in the top half (bullish territory)
Lower position = Price in the bottom half (bearish territory)
Extreme positions = Price in outer 30% on either side (potential reversal zones)
Quantum Tunneling Signals
This is another physics concept: In quantum mechanics, particles can sometimes "tunnel" through barriers that classical physics says they shouldn't be able to cross.
In Trading:
When price breaks through the 95% probability barrier, it's "tunneling" into statistically improbable territory - these are marked by triangles:
Green Triangle Up
Price tunneled through the upper 95% barrier
This is statistically rare (happens only 5% of the time)
Often signals price exhaustion or coming reversal downward
Like a particle that tunneled too far and will snap back
Red Triangle Down
Price tunneled through the lower 95% barrier
Also statistically unusual
Often signals panic selling may be overdone
Like a spring compressed too far, ready to bounce
These "tunneling events" are significant because they represent extreme deviations from normal probability - and markets tend to revert to normal.
Entanglement Score
In quantum physics, "entanglement" means two particles are connected such that measuring one instantly affects the other, no matter the distance.
In Trading:
This measures whether price movements are "entangled" with trading volume - do they move together in a connected way?
High Entanglement (above 0.5)
Price and volume move together
Volume confirms the price action
More reliable, trustworthy moves
Like entangled particles - they're truly connected
Low Entanglement (below 0.3)
Price moves without volume support
Suspicious, unsupported movements
Less reliable, be cautious
Like particles that aren't entangled - the connection is weak
Negative Entanglement
Price and volume move in opposite directions
Often signals divergence or potential reversal
Requires careful interpretation
Information Dashboard:
1. Uncertainty Level
Shows current market unpredictability (the core Heisenberg principle calculation):
✓ Normal (Green) = Market is behaving predictably, safe to trade
⚠ High Risk (Red) = Market is chaotic, avoid trading
This is your first checkpoint - if uncertainty is high, don't proceed further.
2. Probability Score
Shows how normal or extreme the current price is:
Percentage shown = Where price sits in the probability distribution
✓ Safe (Green) = Price in normal range (middle 70%)
⛔ Extreme (Red) = Price at statistical outliers (outer 15%)
High percentage (>85%) = Price near the average, stable situation
Low percentage (<15%) = Price at extremes, unstable situation
3. Position Indicator
Tells you which side of the market you're on:
Upper/Lower = Basic location in the bands
→ Neutral (Gray) = Price in balanced middle zone
⚠ Reversal? (Orange) = Price at extremes, watch for turnaround
This helps you anticipate potential support or resistance levels.
4. Entanglement Confirmation
Shows the correlation number and interpretation:
✓ Confirmed (Green) = Volume strongly supports price (>0.5)
⚠ Weak (Orange) = Poor volume support (<0.5)
Always prefer trading when entanglement is confirmed - it means the move is "real" with participant backing.
5. Trade Status - YOUR MAIN SIGNAL
This is the indicator's final verdict combining all factors:
✓ TRADEABLE (Green)
Uncertainty is normal
Probability is safe
Entanglement is decent
Action: Market conditions favor trading
⛔ AVOID (Red)
One or more conditions are unfavorable
Market is too unpredictable
Action: Stay out, preserve capital.
Scenario A: Perfect Buy Setup
Red triangle appears (quantum tunneling down)
Position shows "Lower" with "⚠ Reversal?" warning
Entanglement shows "✓ Confirmed"
Trade Status: "✓ TRADEABLE"
Interpretation: Price hit extreme low with volume support, likely to bounce back to probability zone
Action: Consider long entry with stop below recent low
Scenario B: Perfect Sell Setup
Green triangle appears (quantum tunneling up)
Position shows "Upper" with "⚠ Reversal?" warning
Entanglement shows "✓ Confirmed"
Trade Status: "✓ TRADEABLE"
Interpretation: Price hit extreme high, exhaustion in high uncertainty zone
Action: Consider short entry or exit longs with stop above recent high
Scenario C: High Uncertainty - Stay Out
Uncertainty shows "⚠ High Risk"
Probability shows "⛔ Extreme"
Trade Status: "⛔ AVOID"
Interpretation: Both price and momentum uncertainties are high - market is fundamentally unpredictable (Heisenberg principle in action)
Action: No trading, wait for uncertainty to decrease
Scenario D: Trending Market
Price consistently stays in upper bands
No tunneling signals
Entanglement remains high
Trade Status stays "✓ TRADEABLE"
Interpretation: Strong trend with low uncertainty
Action: Trade with the trend, don't fight it
Scenario E: Choppy, Range-Bound
Price bounces between inner blue bands
Frequent status changes between TRADEABLE and AVOID
Entanglement fluctuates
Interpretation: Market lacks direction, uncertainty fluctuating
Action: Use bands as support/resistance for scalping, or wait for breakout.
Why The Uncertainty Principle Matters In Trading
Traditional technical analysis often looks at indicators in isolation:
"RSI is oversold, so buy"
"Price is volatile, so wait"
"Volume is high, so trade"
But Heisenberg's principle teaches us that multiple uncertainties interact and compound. This indicator recognizes that truth:
When price volatility is high AND momentum is erratic:
You can't reliably predict where price will go
You can't reliably predict how strong the move will be
The combination creates fundamental unpredictability
This is when the indicator says "AVOID"
When price volatility is low AND momentum is stable:
Price behavior becomes more regular
Directional moves become more reliable
The low combined uncertainty creates tradeable conditions
This is when the indicator says "TRADEABLE"
The Probability Wave Function
In quantum mechanics, until you measure a particle, it exists in all possible states simultaneously (superposition). The probability wave describes where it's most likely to be found.
The bands work the same way:
Blue bands = Where price has 68% probability of being (1 standard deviation)
Purple bands = Where price has 95% probability of being (2 standard deviations)
Outside bands = Less than 5% probability (quantum tunneling territory)
When price is in the blue zone, it's in its "natural" superposition state - normal behavior.
When price tunnels outside, it's in an "improbable" state - like a quantum particle appearing where it shouldn't be. Physics tells us this can't last - the wave function will collapse back to normal probability zones. In trading, this means reversion to the mean.
Entanglement and Market Correlation
Quantum entanglement shows us that connections matter - particles don't act in isolation.
In markets:
Price shouldn't move in isolation from volume
When they're "entangled" (moving together), the move is authentic
When they're not entangled (price moves without volume), the move is suspicious
This is why the indicator checks entanglement - it's verifying that the market components are properly connected and confirming each other.
Golden Rules for the indicator:
Never trade during high uncertainty states - When the indicator shows AVOID, it's telling you that fundamental unpredictability (Heisenberg's principle) has taken over. This is non-negotiable.
Reduce position size when entanglement is weak - Even if uncertainty is low, weak volume entanglement means the move may not be authentic.
Respect the quantum tunneling signals - They mark statistical extremes where price has entered improbable territory. Reversion to normal probability zones is likely.
Don't chase price outside the bands - If you missed the tunneling entry, wait for price to return to normal probability zones.
Use the white center line as equilibrium - Like particles gravitating toward lower energy states, price tends to revert to its average.
Heisenberg's Uncertainty Principle teaches us a profound lesson: some things are fundamentally unknowable. You cannot eliminate uncertainty - you can only measure it and decide whether it's low enough to act.
This indicator embraces that wisdom:
It doesn't claim to predict the future
It doesn't promise guaranteed wins
It simply measures current uncertainty
And tells you when conditions are favorable vs. unfavorable
The market, like quantum particles, is probabilistic, not deterministic. You're trading probabilities, not certainties. The indicator helps you identify when those probabilities are in your favor (low uncertainty) and when they're not (high uncertainty).
This is a more mature, realistic approach to trading than indicators that promise to "predict" moves. Instead, this indicator honestly assesses predictability itself.
Remember: Not trading during high uncertainty is just as important as trading during low uncertainty. Preservation of capital is the foundation of long-term success. As Heisenberg taught us, some moments are simply too uncertain to act - and that's okay.
Chart attached: -NSE Persistent, EoD 05/12/25, Day Time Frame.
DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice. Please do boost if you like it. Happy Trading.
Top 20 Adaptive Momentum [Trend Aligned]his script is an automated End-of-Day Momentum Dashboard designed to predict the next trading day's directional bias for the top 20 most volatile stocks. It analyzes institutional price action during the final 10 minutes of the trading session and filters signals based on the long-term trend.
How It Works
Trend Identification: The script calculates a 50-Day Moving Average proxy (using 5-minute data) to determine if a stock is in a Long-Term Uptrend or Downtrend.
Adaptive Signal Logic: Instead of a simple reversal strategy, the script adapts its prediction based on the trend context:
Trend Following: If a stock closes strong (Green) in an Uptrend, it signals Bullish Momentum (continuation).
Mean Reversion: If a stock closes strong (Green) in a Downtrend, it signals Bearish Reversion (fade the bounce).
Dip Buying: If a stock closes weak (Red) in an Uptrend, it signals Bullish Reversion (buy the dip).
Live Backtesting: The dashboard features a "Win Rate (3M)" column. This metric backtests the strategy over the past 3 months for each specific ticker, calculating the percentage of time the predicted bias resulted in a winning trade the following day.
Dashboard Columns
Ticker: The stock symbol.
Prev Day: The overall close vs. open of the previous session.
Trend (50d): The long-term trend direction (UP or DOWN).
BIAS TODAY: The actionable signal for the current session (📈 BULLISH or 📉 BEARISH).
Win Rate: The historical probability of success for this strategy on this specific stock.
Usage: Use this tool pre-market to identify high-probability setups where the previous day's closing momentum aligns with the long-term trend.
To effectively use the Top 20 Adaptive Momentum script, you need to treat it as a Pre-Market Screener. It performs the heavy lifting of analyzing trend, momentum, and historical probability instantly, giving you a "Cheat Sheet" for the trading day.
Here is a step-by-step guide on how to integrate it into your routine:
1. The Setup
Timeframe: Set your chart to 5 Minutes. The logic specifically hunts for the 15:50 (3:50 PM) and 15:55 (3:55 PM) candles, so the calculation works best on this timeframe.
Timing: Check this dashboard before the market opens (e.g., 9:00 AM EST) or shortly after the close (4:05 PM EST) to plan for the next session.
2. Reading the Dashboard Columns
Column What to Look For Actionable Insight
Trend (50d) UP (Green) or DOWN (Red) This tells you the "Big Picture." Only trade in this direction. If Trend is UP, you only want to see Bullish signals. If Trend is DOWN, you only want Bearish signals.
BIAS TODAY 📈 BULLISH Plan: Look for Long/Buy setups at the open. The algorithm predicts price will close higher today.
📉 BEARISH Plan: Look for Short/Sell setups at the open. The algorithm predicts price will close lower.
Win Rate (3M) Percentage (e.g., 65%) Confidence Filter. Only take trades on stocks with a Win Rate above 55-60%. This proves the stock historically respects this specific strategy.
3. The Strategy Scenarios (How to Trade)
Scenario A: The "Trend Continuation" (High Probability)
Dashboard: Trend is UP + Bias is BULLISH.
Context: The stock is strong long-term, and it closed strong yesterday (Momentum).
Execution: Watch for an opening gap up or an early breakout above the pre-market high. Go Long.
Scenario B: The "Dip Buy" (High Probability)
Dashboard: Trend is UP + Bias is BULLISH.
Context: The stock is strong long-term, but it pulled back yesterday (Weak Close). The script identifies this as a discount, not a reversal.
Execution: Watch for the stock to find support early. Use the "Master Sniper" (from your other script) to find a Discount Entry FVG.
Scenario C: The "Trap" (Avoid)
Dashboard: Win Rate is < 50%.
Context: The stock is choppy or news-driven. It does not follow technical momentum rules reliably.
Execution: Skip this stock. Move to the next one on the list.
4. Execution Workflow
Scan: Glance at the dashboard. Identify the 2-3 stocks with Green Bias + Green Trend (for Buys) or Red Bias + Red Trend (for Shorts).
Filter: Ensure their "Win Rate" is decent (over 55%).
Trade: Open the charts for those specific stocks. Use your execution indicators (like the Master Sniper) to time the entry on the 1-minute or 5-minute chart.
By using this dashboard, you stop guessing which stock to trade and focus entirely on executing the best setups.
Imbalance Heatmap (Free) – pc75A clean, efficient visualisation of liquidity voids, 3-bar imbalances, and price inefficiency zones.
This indicator highlights where the market left gaps in the order flow — areas price often revisits to rebalance.
Imbalances are displayed as stacked horizontal “heatmap strips,” making it easy to see:
Where aggressive buying/selling left a void
Whether multiple voids overlap (stronger zones)
Whether price is likely to return to fill the imbalance
How old a void is (older zones are marked differently)
This is a refined v6 rewrite based on a script I liked, completely modernised with cleaner logic, better performance, and optional labels.
🔍 Features
3-bar liquidity void detection (ICT-style logic)
Bullish imbalance when price displaces upward with no wick overlap
Bearish imbalance for downward displacement
✔ Heatmap-style visualisation
Each imbalance is sliced into multiple thin horizontal bands to create a visual density effect.
✔ Stacking intelligence
If a new void overlaps previous ones, the heatmap is drawn brighter, showing areas where the market left multiple inefficiencies.
✔ “Void xN” labels
Optional labels show how many overlapping voids existed at the moment the imbalance formed.
✔ Automatic deletion when filled
As soon as price trades back through a slice, that slice is removed.
This keeps the chart clean and focuses only on active inefficiencies.
✔ Smart ageing
Older voids are marked with a subtle border so you can distinguish freshly formed inefficiencies from historical ones.
✔ Alerts
Set alerts for when price taps a stacked imbalance zone (“Void x2” and above).
⚙ Inputs & Customisation
ATR threshold (optional)
Minimum tick size gap
Number of heatmap slices
Bullish / bearish toggles
Label toggles
Colour and transparency configuration
Max slice memory for performance
💡 How to Use
Imbalance zones often behave as:
Magnets → price gravitates toward them
Support/resistance → structure respects inefficiencies
Continuity points → used with market structure shifts
Targets → for both scalpers and swing traders
Strong (stacked) voids typically represent areas of institutional displacement, where the market is more likely to return for rebalancing.
📢 Notes
This is the free version.
Educational only — not financial advice.
SYXX - HTF Candle Overlay
This script, titled "HTF Candle Overlay by SYXX," is designed to visualize the full range and structure of a higher-timeframe (HTF) candle directly onto a lower-timeframe chart. It helps traders maintain context by showing where the current price action sits relative to a much larger candle's boundaries. Combined with LuxAlgo Volume Node Profile.
1. 🔍 Primary Feature: Higher Timeframe Candle Projection
Configurable Timeframe: The user sets the desired HTF using the Interval input, which defaults to 'D' (Daily). The indicator then tracks the High, Low, Open, and Close of that HTF bar.
Live and Historical Drawing: The script uses box.new to draw boxes representing the candle's full range (High to Low).
Historical Boxes (if changeHTF): When a new HTF candle closes, the completed box for the previous period is drawn.
Live Box (if barstate.islast): The indicator draws a live, dynamic box for the current, incomplete HTF candle, which expands with every new High or Low on the lower chart.
2. 🎨 Visualization & Customization
Color-Coded Bias: The boxes are colored based on the HTF candle's direction:
Bullish/Long (BgLong): Green color is used if the HTF candle closed higher than it opened (close > htfOpen).
Bearish/Short (BgShort): Red color is used if the HTF candle closed lower than it opened.
Box Styling: Users can customize the box's appearance, including border color and style, border thickness, and background opacity (BoxOpacity).
Midline: An optional MidLine is calculated as the average of the HTF High and Low, acting as a potential support/resistance reference point.
Range Display: The indicator can display the range of the box in pips (BoxRangePips) or the percentage of movement relative to the full range (BoxRangePercentage).
Time Labels: It plots time labels that show the start and end time of the completed HTF period (e.g., "07:00 - 11:00").
3. 🚨 Alert System (Placeholders)
The script includes placeholder inputs for standard trading alerts, though the internal logic for checking these conditions is currently commented out or set to false:
Alert: Break Above/Below Box: To signal a breakout of the HTF High or Low.
Alert: Price Re-Enters Box: To signal a pullback back into the range.
CRR - Candlestick Pattern PRO + HUD Analyze each candlestick in detail:
Calculate:
Body size (bodyPct)
Upper wick (upPct)
Lower wick (lowPct)
Total range of the candlestick.
Detect important candlestick patterns:
Hammer
Inverted Hammer
Doji
Strong Bullish Candle
Strong Bearish Candle
Bullish Engulfing
Bearish Engulfing
Optional: Use the EMA 200 as a trend filter
If useTrend is enabled:
Above the EMA200 → “Trend: Bullish”
Below the EMA200 → “Trend: Bearish”
In between → “Trend: Sideways”
Color and mark the candlesticks:
If useColorCandles is active:
Color the candlestick according to the detected pattern.
If showLabels is active:
Write the name of the pattern above or below the candlestick (Hammer, Doji, Engulfing, etc.).
HUD in the upper right corner:
Name of the current pattern (or “None”).
Bias: bullish reversal, bearish reversal, momentum, indecision, etc.
EMA200 status (trend).
Candlestick body and wick percentages.
Pattern “Strength”: Low / Medium / High.
🧠 In simple terms:
This is a professional candlestick pattern radar, with colors, labels, and a HUD that tells you which pattern is present, what the trend is, and how strong the signal is.
Moving Average Channel Breakout (No Repaint) This indicator creates a channel using two simple moving averages: SMA of highs (upper line) and SMA of lows (lower line).
How it works:
- When a candle closes above the upper channel line, the following candles turn green (bullish trend)
- When a candle closes below the lower channel line, the following candles turn red (bearish trend)
- The trend color remains until a breakout in the opposite direction occurs
Anti-repaint:
This indicator does NOT repaint. The candle color is determined at the open, based on the previous candle's close. Once a candle opens with a color, that color never changes.
Breakout strategy:
- Candle opens green → Long entry signal
- Candle opens red → Short entry signal
The signal and entry moment are perfectly synchronized at the candle open, making it ideal for systematic breakout strategies.
ZigZag + Fibonacci
⚙️ Main Features
• Automatic ZigZag: Detects the latest high and low pivots based on an adjustable period.
• Dynamic Fibonacci: Automatically draws the 38.2%, 50%, and 61.8% levels based on the last ZigZag movement.
• Display Control:
o Enable or disable the blue line connecting the pivots (ZigZag line).
o Adjust the horizontal length of the Fibonacci lines (in number of bars).
• Customizable Colors:
o Choose different colors for each Fibonacci level.
o Customize the color of the ZigZag line.
________________________________________
🧑🏫 How to Use
1. Add the indicator to your chart on TradingView.
2. Configure the parameters according to your strategy:
o ZigZag Period: defines the sensitivity of the pivots (higher values = wider movements).
o Fibonacci Line Length: how many bars the horizontal lines should extend.
o Show ZigZag Line: check or uncheck to display the blue line between pivots.
o Colors: customize the visual appearance of the Fibonacci levels and ZigZag line.
3. Interpret the Fibonacci levels:
o Use the levels as possible support and resistance zones.
o Combine with other technical signals for more assertive entries and exits.
Setup Keltner Banda 3 e 5 - MMS + RSI + Distância Tabela
📊 Indicator Overview: Keltner Bands + RSI + Distance Table
This custom TradingView indicator combines three powerful tools into a single, visually intuitive setup:
Keltner Channels (Bands 3x and 5x ATR)
Relative Strength Index (RSI)
Dynamic Table Displaying RSI and Price Distance from Moving Average (MMS)
🔧 Components and Functions
1. Keltner Channels (3x and 5x ATR)
Based on a Simple Moving Average (MMS) and Average True Range (ATR).
Two sets of bands are plotted:
3x ATR Bands: Used for moderate volatility signals.
5x ATR Bands: Used for high volatility extremes.
Visual fills between bands help identify overextended price zones.
2. RSI (Relative Strength Index)
Measures momentum and potential reversal zones.
Customizable overbought (default 70) and oversold (default 30) levels.
RSI values are color-coded in the table:
Green for RSI ≤ 30 (oversold)
Blue for 30 < RSI ≤ 70 (neutral)
Red for RSI > 70 (overbought)
3. Distance Table (Price vs. MMS)
Displays the real-time distance between the current price and the MMS:
In points (absolute difference)
In percentage (relative to MMS)
Helps traders assess how far price has deviated from its mean.
📈 How to Use
Trend Reversal Signals
Look for price crossing back inside the 3x or 5x Keltner Bands.
Confirm with RSI:
RSI > 70 + price re-entering from above = potential short
RSI < 30 + price re-entering from below = potential long
Volatility Zones
Price outside the 5x band indicates extreme movement.
Use this to anticipate mean reversion or breakout continuation.
Table Insights
Monitor RSI and price distance in real time.
Use color cues to quickly assess momentum and stretch.
⚙️ Customization
Adjustable parameters for:
MMS period
ATR multipliers
RSI period and thresholds
Table position on chart
Fill colors between bands
This indicator is ideal for traders who want a clean, data-rich visual tool to track volatility, momentum, and price deviation in one place.
