Engulfing Reversal PatternThe Engulfing Reversal Pattern indicator seeks out both bullish and bearish reversal patterns. This indicator offers the user numerous options to modify the indicator to their needs.
Key features:
Ability to adjust the size of the Engulfing candle in comparison to the prior candle
Ability to adjust the number of breakout candles
Indicator adapts to the Time Frame it is being used in
You can choose between identifying only Bearish patterns, only Bullish patterns or both.
Indicator Arrow size can be adjusted in size.
Indicatori e strategie
BTC 15m VWAP Structure Breakout [ALERT]BTC 15m VWAP Structure Breakout Strategy (Alert Only)
This strategy is designed for BTC on the 15-minute timeframe.
It focuses on identifying high-probability structural breakouts within an established trend, not predicting tops or bottoms.
The script is alert-only.
Entries are taken manually, based on confirmation after the alert.
🎯 Core Idea
The main question this strategy answers is:
“Is this breakout occurring with the trend,
or is it just a fake move inside a ranging market?”
To solve this, the strategy combines:
VWAP (institutional average price)
EMA20 (short-term trend filter)
Market structure breakout
📈 Indicators Used
VWAP (Volume Weighted Average Price)
Represents the market’s fair value and institutional bias.
EMA20
Defines short-term trend direction and momentum.
Structure High / Low (last 25 candles)
Identifies meaningful resistance and support levels.
🧭 Market Bias Filter
🔵 Bullish Bias (Long Setup Allowed)
Price closes above VWAP
EMA20 is rising (higher than 2 candles ago)
This confirms a valid bullish environment before looking for breakouts.
🔴 Bearish Bias (Short Setup Allowed)
Price closes below VWAP
EMA20 is falling (lower than 2 candles ago)
This confirms a valid bearish environment.
🚀 Breakout Signal Conditions
✅ Long Breakout Alert
A LONG alert is triggered when all conditions are met:
Bullish market bias
Price closes above EMA20
Price breaks above the previous 25-candle high
by at least 0.15%
➡️ This captures true continuation breakouts, not random spikes.
❌ Short Breakdown Alert
A SHORT alert is triggered when all conditions are met:
Bearish market bias
Price closes below EMA20
Price breaks below the previous 25-candle low
by at least 0.15%
➡️ This captures trend-aligned support breakdowns.
🔔 How to Use the Alerts (Important)
These alerts are NOT automatic entry signals.
When an alert fires, check:
Volume expansion
Breakout confirmation or pullback-and-reclaim
Higher-timeframe trend alignment
👉 Alert = “Market is ready, pay attention”
🧠 Best Market Conditions
✔ Trending BTC markets
✔ Breakout or expansion phases
✔ Works in all sessions (no session filter)
❌ Choppy or low-volatility ranging markets
👍 Who This Strategy Is For
Traders who can’t watch charts all day
Traders who want to reduce emotional entries
Traders who prefer probability and structure over prediction
Manual traders using alerts as decision triggers
📌 Final Thoughts
This strategy:
❌ does NOT try to catch bottoms or tops
✅ reacts only when structure confirms a real move
Let the market show strength first —
then decide how to trade it.
OI Grid for Gold/Oil-Auto plot OI level
-For Gold and Crude Oil
-Price diff function between future/spot price
Bollinger Aurora Velocity [Pineify]Pineify - Bollinger Aurora Velocity
The Bollinger Aurora Velocity is an enhanced volatility and trend analysis indicator that transforms the classic Bollinger Bands into a visually stunning, multi-dimensional trading tool. By combining standard deviation bands with historical extreme tracking and dynamic momentum coloring, this indicator provides traders with deeper insights into volatility cycles, squeeze conditions, and trend strength all in one overlay.
Key Features
Classic Bollinger Bands with customizable period and standard deviation multiplier
Nebula Memory Cloud tracking historical band extremes for volatility context
Volatility Squeeze Detection with visual dot indicators on the basis line
Gradient-based candle coloring reflecting normalized price position
Multi-layer aurora gradient fills for intuitive visual analysis
How It Works
The indicator begins with a standard Bollinger Bands calculation using a simple moving average as the basis line, with upper and lower bands placed at a user-defined multiple of standard deviation. This core structure measures price volatility and identifies overbought/oversold conditions.
The Nebula Memory Cloud extends beyond traditional bands by tracking the highest point of the upper band and lowest point of the lower band over a configurable lookback period. This creates an outer envelope showing the maximum volatility expansion in recent history.
Trading Ideas and Insights
The Volatility Squeeze is a powerful concept where contracting Bollinger Bands often precede significant price breakouts. This indicator detects squeezes by comparing the current band width to its 100-period simple moving average. When the current range falls below this average, yellow dots appear on the basis line, alerting traders to potential explosive moves ahead.
When squeeze dots appear and the outer nebula cloud shows significant distance from the current bands, it suggests volatility is at a historical low relative to recent extremes—a setup often followed by strong directional moves.
How Multiple Indicators Work Together
Bollinger Bands establish the primary volatility envelope and mean-reversion zones
The Nebula Cloud provides historical context, showing how current volatility compares to recent extremes
Squeeze Detection identifies compression phases using relative bandwidth analysis
Normalized Scoring translates price position into a 0-100 scale for gradient coloring
Unique Aspects
Unlike standard Bollinger Bands indicators, the Aurora Velocity creates a heat-map effect on price bars. The normalized score calculates where price sits within the bands as a percentage, then applies a smooth gradient from bearish to bullish colors. This allows traders to instantly perceive momentum strength—saturated bullish colors near the upper band indicate strong upward pressure, while saturated bearish colors near the lower band signal selling dominance.
The aurora-style gradient fills between band layers create visual depth, making it easy to distinguish the core volatility zone from the historical extreme boundaries.
How to Use
Monitor candle colors for momentum direction—bright green indicates bullish positioning, bright red signals bearish pressure
Watch for yellow squeeze dots on the basis line as early warning for potential breakouts
Use the outer nebula cloud to assess if current volatility is testing historical extremes
Set alerts for price breakouts above the upper band or below the lower band
Combine squeeze conditions with the nebula cloud width to gauge breakout potential
Customization
Base Period - Controls Bollinger Bands calculation length (default: 20)
Standard Deviation Multiplier - Adjusts band width from the basis (default: 2.0)
Price Source - Select the price input for calculations (default: close)
Nebula Memory Length - Lookback period for tracking historical extremes (default: 50)
Color Settings - Customize bullish and bearish gradient colors
Conclusion
The Bollinger Aurora Velocity elevates traditional Bollinger Bands analysis by adding historical volatility context through the Nebula Cloud, precise squeeze detection for breakout anticipation, and intuitive momentum visualization through gradient candle coloring. This combination helps traders identify not just where price is relative to volatility bands, but how that volatility compares to recent history and when compression may lead to expansion.
Enterprise Adaptive RSI WeightDescription (TradingView)
Enterprise Adaptive RSI Weight is a clean, decision-support oscillator for XAUUSD & EURUSD (5m/15m).
It converts RSI into a normalized Weight (W) and smooths it with a Hull Moving Average (yellow) to highlight trend bias + momentum shifts.
What to watch
W (main line) = bias & momentum (above 0 = bullish, below 0 = bearish)
Yellow line (HMA) = signal filter
CROSS (W ↔ HMA) = key confirmation point
CROSS ↑ = bullish momentum confirmation
CROSS ↓ = bearish momentum confirmation
Built-in safety filters (enterprise-style)
Signals are filtered by:
Quality/Gate (model confidence)
Dead Zone (avoids weak/noise signals)
Optional HTF alignment (trade only when higher timeframe agrees)
Visual markers
L / S = entry triggers (valid cross + filters)
XL / XS = momentum exit warnings
0↑ / 0↓ = bias flip (crossing the 0 line)
REV = exit from extreme zones (OB/OS reversal hint)
STR = strong trend condition
How to use (simple workflow)
Check STATE in the panel: trade only BULL or BEAR
Enter on CROSS in the same direction
Manage/exit on XL/XS or loss of momentum
Tip: Best used as a confirmation tool, not as a standalone strategy.
CPR Call-Out Panel (Daily + Weekly Context)Use on 5 minute chart along with CPR by KGS indicator. My script helps to interpret potential nifty 50 index behaviour based on levels. DM for more questions.
CK CloudOnly two moving averages that change color when they cross: blue for buy and yellow for sell, both configurable.
Triple KDJ - CKThe Triple KDJ is a market-reading architecture based on multiscale confirmation, not a new indicator. It consists of the simultaneous use of three KDJ settings with different parameters to represent three levels of price behavior: short-, medium-, and long-term. The systemic logic is simple and robust: a move is considered tradable only when there is directional coherence across all three layers, which reduces noise, prevents entries against the dominant regime, and stabilizes decision-making.
At the slowest level, the KDJ acts as a structural regime filter. It defines whether the market is, at that moment, permissive for buying, selling, or remaining neutral. When the slow KDJ shows the hierarchy J > K > D, the environment is bullish; when J < K < D occurs, the environment is bearish. If this condition is not clear, any signal on the faster levels should be ignored, as it represents only local fluctuation without directional support.
The intermediate KDJ fulfills the role of continuity confirmation. It checks whether the impulse observed on the short-term level is supported by the developing move. In practical terms, it prevents entries based solely on micro-impulses that fail to evolve into real price displacement. When the intermediate KDJ replicates the same directional hierarchy as the slow KDJ, structure and movement are aligned.
The fast KDJ is used exclusively as a timing tool, never as a standalone signal generator. This is where the J line reacts first, often emerging from extreme zones and offering the lowest-risk entry point. In the Triple KDJ, the fast layer does not “command” the trade; it simply executes what has already been authorized by the higher levels.
The J line plays a central role in this architecture. In the fast KDJ, it anticipates the change in impulse; in the intermediate KDJ, it confirms the transformation of that impulse into movement; and in the slow KDJ, it determines whether the market accepts or rejects that direction. For this reason, in the Triple KDJ the correct reading is not about line crossovers, but about a consistent hierarchy among J, K, and D across multiple scales.
Triple KDJ - CKThe Triple KDJ is a market-reading architecture based on multiscale confirmation, not a new indicator. It consists of the simultaneous use of three KDJ settings with different parameters to represent three levels of price behavior: short-, medium-, and long-term. The systemic logic is simple and robust: a move is considered tradable only when there is directional coherence across all three layers, which reduces noise, prevents entries against the dominant regime, and stabilizes decision-making.
At the slowest level, the KDJ acts as a structural regime filter. It defines whether the market is, at that moment, permissive for buying, selling, or remaining neutral. When the slow KDJ shows the hierarchy J > K > D, the environment is bullish; when J < K < D occurs, the environment is bearish. If this condition is not clear, any signal on the faster levels should be ignored, as it represents only local fluctuation without directional support.
The intermediate KDJ fulfills the role of continuity confirmation. It checks whether the impulse observed on the short-term level is supported by the developing move. In practical terms, it prevents entries based solely on micro-impulses that fail to evolve into real price displacement. When the intermediate KDJ replicates the same directional hierarchy as the slow KDJ, structure and movement are aligned.
The fast KDJ is used exclusively as a timing tool, never as a standalone signal generator. This is where the J line reacts first, often emerging from extreme zones and offering the lowest-risk entry point. In the Triple KDJ, the fast layer does not “command” the trade; it simply executes what has already been authorized by the higher levels.
The J line plays a central role in this architecture. In the fast KDJ, it anticipates the change in impulse; in the intermediate KDJ, it confirms the transformation of that impulse into movement; and in the slow KDJ, it determines whether the market accepts or rejects that direction. For this reason, in the Triple KDJ the correct reading is not about line crossovers, but about a consistent hierarchy among J, K, and D across multiple scales.
Lakshmi - Low Volatility Range Breakout (LVRB)⚡️ Overview
The Low Volatility Range Breakout (LVRB) indicator is designed to identify consolidation phases characterized by suppressed volatility and generate actionable signals when price breaks out of these ranges. The underlying premise is rooted in the market principle that periods of low volatility often precede significant directional moves—volatility contraction leads to expansion.
Important Note on Optimization: The default parameter settings of this indicator have been specifically optimized for BTCUSDT on the 2-hour (2H) timeframe. While the indicator can be applied to other instruments and timeframes, users are encouraged to adjust the parameters accordingly to suit different trading conditions and asset characteristics.
This indicator automates the detection of "quiet" accumulation/distribution zones and provides clear visual cues and alerts when a breakout occurs.
⚡️ How to Use
1. Add the indicator to your chart. Default settings are optimized for BTCUSDT 2H.
2. Wait for a gray box to appear—this indicates a qualified low-volatility range is forming.
3. Monitor for breakout signals:
• LONG (green triangle below bar): Price broke above the range. Consider entering a long position.
• SHORT (red triangle above bar): Price broke below the range. Consider entering a short position.
4. Set alerts using "LVRB LONG" or "LVRB SHORT" to receive notifications on confirmed breakouts.
5. Adjust parameters as needed for different instruments or timeframes.
Tip: Combine with volume analysis or trend filters for higher-probability setups.
⚡️ How It Works
1. Low Volatility Bar Detection
A bar is classified as "low volatility" when it meets the following criteria:
• True Range (TR) is at or below the average TR (Simple Moving Average) multiplied by a user-defined threshold.
• (Optional) Candle Body is at or below the average body size multiplied by a separate threshold.
This dual-filter approach helps isolate bars that exhibit genuine compression in both range and directional commitment.
2. Range Box Formation
When consecutive low-volatility bars are detected, the indicator begins constructing a consolidation box:
• The box expands to encompass the high and low of qualifying bars.
• A minimum number of bars and a minimum fraction of low-volatility bars are required for the box to become "qualified" (active).
• A configurable tolerance allows for a limited number of consecutive non-low-vol bars within the sequence, accommodating minor noise without invalidating the range.
• If the box height exceeds a maximum threshold (defined as a multiple of the base ATR at sequence start), the range is invalidated.
3. Breakout Detection
Once a qualified range is established, the indicator monitors for breakouts:
• Wick Mode: Requires both a wick pierce beyond the range boundary AND a close outside the range.
• Close Mode: Requires only a close beyond the range boundary.
• (Optional) Breakout Body Filter: The breakout candle's body must exceed a multiple of the average body size at range formation.
• (Optional) Candle Direction Filter: Bullish breakouts require a green candle; bearish breakouts require a red candle.
Signals are displayed in real-time and confirmed upon bar close.
⚡️ Inputs & Parameters
• Volatility Window: Lookback period for calculating average TR and average body size.
• TR Multiplier: A bar's TR must be ≤ avgTR × this value to qualify as low-vol.
• Body Multiplier: A bar's body must be ≤ avgBody × this value (if body filter is enabled).
• Use Body Filter: Toggle the body size filter on/off.
• Min Bars in Box: Minimum number of bars required for a range to become qualified.
• Min Low-Vol Fraction: Minimum proportion of bars in the sequence that must be low-vol.
• Allowed Consecutive Non-Low-Vol Bars: Tolerance for consecutive bars that do not meet low-vol criteria.
• Max Box Height: Maximum allowed range height as a multiple of the base ATR.
• Breakout Mode: Choose between "Wick" (pierce + close) or "Close" (close only).
• Breakout Body Multiplier: Require breakout candle body ≥ avgBody × this value (1.0 = OFF).
• Require Candle Direction: Enforce green candle for LONG, red candle for SHORT.
⚡️ Visual Features
• Consolidation Boxes: Displayed in neutral (gray) color during formation. Upon a confirmed breakout, the box is colored green for bullish breakouts or red for bearish breakouts.
• Breakout Signals:
• LONG: Green upward triangle displayed below the price bar with "LONG" label.
• SHORT: Red downward triangle displayed above the price bar with "SHORT" label.
• Range Levels: Optional horizontal plots for the active range's high and low.
• Invalidated Boxes: Optionally retained in neutral (gray) color or deleted from the chart.
• Full Customization: Colors, transparency, and border width are all adjustable.
⚡️ Alerts
Two alert conditions are available:
• LVRB LONG: Triggered on a confirmed bullish breakout (bar close).
• LVRB SHORT: Triggered on a confirmed bearish breakout (bar close).
⚡️ Use Cases
• Breakout Trading: Enter positions when price escapes a well-defined low-volatility range.
• Volatility Expansion Plays: Anticipate increased volatility following periods of compression.
• Filtering Choppy Markets: Avoid trading during extended consolidation; wait for confirmed breakouts.
• Multi-Timeframe Analysis: Use on higher timeframes to identify major consolidation zones.
⚡️ Notes
• Best used in conjunction with volume analysis, trend context, or support/resistance levels for confirmation.
• Performance varies across instruments and timeframes; backtesting and parameter optimization are recommended.
⚡️ Credits
Developed by Lakshmi. Inspired by volatility contraction principles and range breakout methodologies.
⚡️ Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a guarantee of profits. Trading financial instruments involves substantial risk, and you may lose more than your initial investment. Past performance, whether indicated by backtesting or historical analysis, does not guarantee future results. The use of this indicator does not ensure or promise any profits or protection against losses. Users are solely responsible for their own trading decisions and should conduct their own research and/or consult with a qualified financial advisor before making any investment decisions. By using this indicator, you acknowledge and accept that you bear full responsibility for any trading outcomes.
TurboRSI Pro [JOAT]TurboRSI Pro - Multi-Length RSI Ensemble with Dynamic Momentum Analysis
Introduction
TurboRSI Pro is an open-source indicator that reimagines the classic RSI by calculating multiple RSI lengths simultaneously and combining them into a single, more reliable momentum reading. Instead of relying on a single RSI period that may lag or produce false signals, this indicator creates an ensemble of RSI values across a configurable range, providing a smoother and more robust momentum assessment.
The indicator is designed for traders who want deeper insight into momentum conditions without the noise that comes from single-period oscillators.
Originality and Purpose
This indicator is NOT a simple RSI with different settings. It is an original implementation that solves a fundamental problem with traditional RSI:
The Problem with Single-Period RSI: Traditional RSI uses a single lookback period (typically 14). The issue is that different market conditions favor different RSI lengths. A 14-period RSI might work well in one market phase but produce false signals in another. There's no "perfect" RSI length that works in all conditions.
The Multi-Length Solution: TurboRSI Pro calculates RSI across a range of lengths (default: 10 to 20) simultaneously, then averages all values to create a composite reading. This ensemble approach filters out period-specific noise while preserving genuine momentum shifts. When multiple RSI lengths agree, the signal is more reliable.
OB/OS Strength Percentage: The indicator tracks how many individual RSI lengths are in overbought or oversold territory. When 100% of lengths are overbought, it's a much stronger signal than when only 50% are. This percentage-based approach is original to this indicator and provides conviction assessment.
Candle Heatmap Innovation: An optional feature colors price bars based on deviation from a 200-bar linear regression line. This shows when price is statistically overextended (HOT/COLD) independent of RSI, providing another layer of analysis.
How the components work together:
Multi-length RSI ensemble provides a more robust momentum reading than single-period RSI
OB/OS Strength percentages quantify how many timeframes agree on the momentum condition
Dynamic channels expand/contract based on momentum strength across all calculated lengths
Candle heatmap adds statistical price deviation context independent of RSI
Core Concept: Multi-Length RSI Ensemble
Traditional RSI uses a single lookback period (typically 14). The problem is that different market conditions favor different RSI lengths. TurboRSI Pro solves this by:
Calculating RSI across a range of lengths (default: 10 to 20)
Averaging all RSI values to create a composite reading
Tracking how many individual RSI lengths are in overbought or oversold territory
Displaying this information as "OB Strength" and "OS Strength" percentages
This approach filters out noise while preserving genuine momentum shifts.
How the Multi-Length RSI Works
The calculation uses an efficient array-based approach:
int N = maxLength - minLength + 1
float diff = nz(srcInput - srcInput )
for i = 0 to N - 1
int len = minLength + i
float alpha = 1.0 / len
float numRma = alpha * diff + (1 - alpha) * array.get(numArr, i)
float denRma = alpha * math.abs(diff) + (1 - alpha) * array.get(denArr, i)
float rsiVal = denRma != 0 ? 50 * numRma / denRma + 50 : 50
avgRSI += rsiVal
Each RSI length is calculated using the RMA (Running Moving Average) formula, then all values are averaged. The result is a composite RSI that responds to momentum changes while filtering out period-specific noise.
Visual Components
1. Multi-Length RSI Line
The main oscillator line displays the averaged RSI value with a gradient color:
Green gradient when RSI is above 50 (bullish momentum)
Red gradient when RSI is below 50 (bearish momentum)
Color intensity increases as RSI approaches extreme levels
2. Dynamic Channels
Two adaptive channel lines track momentum extremes:
Upper Channel: Expands when multiple RSI lengths enter overbought territory
Lower Channel: Expands when multiple RSI lengths enter oversold territory
Channel width indicates momentum strength across all calculated lengths
3. Candle Heatmap
An optional feature that colors price bars based on deviation from a linear regression line:
Red/Orange bars: Price is significantly above the regression line (overextended to upside)
Blue bars: Price is significantly below the regression line (overextended to downside)
Yellow bars: Price is near the regression line (neutral)
The heatmap uses a 200-bar regression calculation to identify when price has deviated significantly from its statistical trend.
4. Reference Lines
Standard RSI reference levels are displayed:
80 and 20: Extreme overbought/oversold
70 and 30: Standard overbought/oversold thresholds
50: Neutral momentum line
5. Background Zones
Shaded areas indicate the percentage of RSI lengths in extreme territory:
Green shading from bottom: Percentage of lengths in overbought
Red shading from top: Percentage of lengths in oversold
Dashboard Panel
The dashboard displays real-time analysis in a 7-row table:
RSI Value: Current composite RSI reading (large text for visibility)
Momentum: Current state - OVERBOUGHT, OVERSOLD, BULLISH, BEARISH, or NEUTRAL
OB Strength: Percentage of RSI lengths currently above the overbought threshold
OS Strength: Percentage of RSI lengths currently below the oversold threshold
Heat Level: Current price deviation state - HOT, WARM, NEUTRAL, COOL, or COLD
Trend Bias: Overall trend assessment based on RSI level and channel direction
Optional Stochastic RSI
When enabled, an additional Stochastic RSI line is plotted. This applies the stochastic formula to the RSI itself, providing another layer of momentum analysis. The Stochastic RSI is more sensitive to short-term momentum shifts.
Input Parameters
RSI Settings:
Min RSI Length: Starting length for the RSI range (default: 10)
Max RSI Length: Ending length for the RSI range (default: 20)
Source: Price source for calculation (default: ohlc4)
Overbought: Upper threshold (default: 70)
Oversold: Lower threshold (default: 30)
Candle Heatmap:
Enable Heatmap: Toggle bar coloring on/off (default: enabled)
Regression Length: Lookback for linear regression calculation (default: 200)
Display:
Show Dashboard: Toggle the information panel (default: enabled)
Show Dynamic Channels: Toggle channel lines (default: enabled)
Show Stochastic RSI: Toggle additional Stoch RSI line (default: disabled)
Colors:
Bullish: Color for bullish conditions (default: teal)
Bearish: Color for bearish conditions (default: red)
Neutral: Color for neutral conditions (default: gray)
How to Use TurboRSI Pro
Identifying Momentum Shifts:
Watch for RSI crossing above 50 for bullish momentum confirmation
Watch for RSI crossing below 50 for bearish momentum confirmation
Use the gradient color to quickly assess momentum direction
Using OB/OS Strength:
When OB Strength reaches 100%, all RSI lengths are overbought - strong reversal potential
When OS Strength reaches 100%, all RSI lengths are oversold - strong bounce potential
Partial readings (e.g., 50%) indicate mixed conditions across timeframes
Heatmap Analysis:
HOT readings combined with high RSI suggest overextension - caution for longs
COLD readings combined with low RSI suggest oversold conditions - watch for reversal
Use heatmap divergence from RSI for additional confirmation
Channel Interpretation:
Expanding upper channel with rising RSI confirms strong bullish momentum
Expanding lower channel with falling RSI confirms strong bearish momentum
Channel contraction suggests momentum is weakening
Alert Conditions
Six alert conditions are available:
RSI Overbought: RSI crosses above overbought threshold
RSI Oversold: RSI crosses below oversold threshold
RSI Bullish Cross: RSI crosses above 50
RSI Bearish Cross: RSI crosses below 50
All RSI Overbought: Every RSI length is in overbought territory
All RSI Oversold: Every RSI length is in oversold territory
Best Practices
Use on higher timeframes (1H, 4H, Daily) for more reliable signals
Combine with price action analysis - RSI confirms, it does not predict
Pay attention to OB/OS Strength percentages for conviction assessment
The heatmap works best on assets with clear trending behavior
Adjust min/max RSI lengths based on your trading style - wider range for smoother signals
Limitations
Like all oscillators, can remain in overbought/oversold territory during strong trends
The heatmap regression may lag during rapid price movements
Multi-length calculation requires more processing than single RSI
Best suited for swing trading and position trading timeframes
Technical Notes
This indicator is written in Pine Script v6 and uses:
Array-based calculations for efficient multi-length RSI computation
Linear regression for heatmap deviation analysis
Gradient coloring for intuitive visual feedback
State management for dynamic channel calculations
The source code is open and available for review and modification.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management.
-Made with passion by officialjackofalltrades
Fair Value Gaps (40+ Points) with NY Session AlertsFVG with alerts. This works for the NY session only.
Conditional Background & Bar Colorsℹ️ Conditional Background & Bar Colors is a lightweight utility indicator that applies conditional background and candle/bar colors based on user-defined logical rules.
This script is not a trading indicator and does not generate buy or sell signals.
It is designed purely as a visual enhancement layer to help highlight market states or indicator conditions.
🔧 Features
Define multiple independent conditions using:
➤ Comparisons (>, <, =, ≥, ≤)
➤ Cross, crossover, crossunder
➤ Value changes and slope direction
➤ NA / non-NA states
Apply colors to:
➤ Chart background
➤ Candles / bars
➤ Optional “all conditions matched” logic for confluence highlighting
➤ Works with any indicator or price source
Can be applied to:
➤ Main price chart
➤ Indicator panes (e.g. RSI, MACD, custom indicators)
➤ No repainting
➤ No alerts
➤ No strategy or execution logic
🎯 Use Cases
➤ Visual confirmation of indicator alignment
➤ Market regime or bias highlighting
➤ Context awareness for discretionary trading
➤ Conditional coloring inside indicator panes
🎨 Color behavior
➤ Background colors overlap and can be combined using transparency
➤ The “all conditions matched” color overrides individual background colors
➤ Bar colors override each other, where the lowest active condition in the list takes priority
⚠️ Disclaimer
This script provides visual assistance only.
All trading decisions remain the sole responsibility of the user.
CBDR Standard Deviation V2CBDR
Standard Deviation measures how far price statistically deviates from the central bank dealer range before institutional rebalancing occurs. CBDR defines fair value, while standard deviation highlights liquidity expansion zones. Moves into ±2 SD or beyond often signal stop-loss sweeps and inventory imbalance, where institutions favor mean reversion, not breakouts.
CBDR SD Core Checklist
□ Daily IPDA bias defined
□ Clean CBDR formed (Asia / early London)
□ CBDR high & low marked
□ ±1 and ±2 SD levels plotted
□ Liquidity sweep beyond CBDR
□ No high-impact news in session
CBDR SD Reversal Trade Checklist
□ Price taps ±2 SD or ±2.5 SD
□ Clear rejection (wick / displacement)
□ Entry against the expansion, not on breakout
□ Stop placed beyond liquidity extreme
□ TP1: CBDR boundary
□ TP2: CBDR midpoint (mean)
□ TP3 (optional): Opposite CBDR extreme
□ Invalidate if strong trend displacement continues
This reversal model captures institutional fade trades after liquidity is harvested, keeping execution statistical, disciplined, and prop-firm resilient.
Elliott Wave Pattern AnalyzerElliott Wave Pattern Analyzer
Overview
This indicator automatically detects Elliott Wave impulse patterns and diagonal formations on your chart. It analyzes price structure based on classic Elliott Wave rules and displays wave counts with confidence scores, Fibonacci projections, and invalidation levels.
Why I Built This
After reading Glenn Neely's book on Elliott Wave theory, I wanted to put my learning into practice by building something tangible. There's no better way to understand a concept than trying to code it!
I'll be honest – corrective wave patterns (zigzags, flats, triangles, combinations) were simply too complex for me to implement reliably. So instead, I focused on what I could manage: impulse waves and diagonal patterns. Maybe someday I'll tackle the corrections, but for now, this is my humble contribution.
The retracement visualization style was inspired by LuxAlgo's elegant approach – credit where credit is due!
How It Works
1. Wave Detection
The indicator uses pivot points to identify potential 5-wave structures:
WaveRuleWave 2Cannot retrace more than 100% of Wave 1Wave 3Cannot be the shortest among Waves 1, 3, 5Wave 4Should not overlap Wave 1 territory (impulse)Wave 5Completes the motive structure
2. Pattern Types
Impulse Waves
Classic 5-wave motive structure
Wave 3 typically extends (≥1.618 of Wave 1)
Strict mode enforces all Elliott rules
Diagonal Patterns
Ending diagonal (wedge-shaped)
Waves progressively contract
Lines 1-3 and 2-4 converge to an apex
Often signals trend exhaustion
3. Confidence Scoring
Each pattern receives a confidence score (0-100%) based on:
Fibonacci ratio adherence
Wave proportion relationships
Rule compliance
Structural clarity
Only patterns exceeding your threshold (default: 60%) are displayed.
4. Fibonacci Projections
After Wave 5 completion, the indicator projects potential retracement levels:
0.382, 0.500, 0.618, 0.786 of the entire impulse
5. Extension Channel
Connects Wave 0 origin to the retracement low, projecting:
0.618, 1.000, 1.272, 1.618 extensions
Optional extended levels: 2.000, 2.618, 4.236
6. Invalidation Levels
Shows the price level where the wave count becomes invalid – helping you know when your analysis is wrong.
Settings Explained
Impulse Wave Settings
Pivot Length: Sensitivity of wave detection (recommended: 5, 7, 14)
Strict Mode: Enforce all classic Elliott rules
Min Wave 3 Extension: Minimum ratio for Wave 3 (default: 1.618)
Diagonal Wave Settings
Allow Wave 4-1 Overlap: Required for valid diagonals
Extend Trendline: Project diagonal boundaries forward
Projection Settings
Fibonacci Levels: Customize retracement targets
Extension Bars: How far projections extend on chart
Pattern Management
Max Patterns: Limit displayed patterns to reduce clutter
Pattern Lifetime: Auto-remove old patterns after X bars
Use Cases
Trend Trading: Enter on Wave 3 or Wave 5 breakouts
Reversal Spotting: Diagonal completion often signals reversals
Target Setting: Use Fibonacci extensions for take-profit levels
Risk Management: Invalidation levels provide clear stop-loss references
Notes
This indicator uses pivot detection and may repaint – signals are confirmed after the specified pivot length
Designed for educational and analytical purposes, not as a signal generator
Elliott Wave analysis is subjective – this is my algorithmic interpretation
Works best on liquid markets with clear trend structure
Not financial advice – always do your own research
Re-publishing Notice
This indicator was previously blocked due to some house rule violations on my part. I've recently had time to review and fix those issues, and I'm now re-publishing a compliant version. Thanks for your patience!
Feedback Welcome
I'm still learning Elliott Wave theory myself, so if you spot any issues or have suggestions for improvement, please leave a comment. Let's learn together!
Happy trading! 📈
Previous Close Percentage LevelsInstitutional Previous Close Percentage Levels (Visual).
This indicator plots percentage-based levels calculated from the previous daily close, designed for clean intraday context and Replay analysis.
Features:
• Automatic daily recalculation
• Levels displayed only for the current trading day
• Clear 0% reference line (previous close) without label
• Configurable percentage steps (+ / −)
• Right-side percentage labels
• Visual TOUCH markers (price interaction)
• Visual BREAK markers (confirmed close beyond level)
• Replay-safe logic (no infinite lines)
• Pine Script v6 compatible
This script is focused on visual clarity and price context.
No audible or popup alerts are used — only on-chart visual signals.
Ideal for:
• Intraday bias
• Mean reversion
• Breakout confirmation
• Futures, Forex, Crypto, Stocks
Kewme//@version=5
indicator("EMA 9/15 + ATR TP/SL Separate Boxes (No Engulfing)", overlay=true, max_lines_count=500, max_boxes_count=500)
// ===== INPUTS =====
atrLen = input.int(14, "ATR Length")
slMult = input.float(1.0, "SL ATR Multiplier")
rr = input.float(2.0, "Risk Reward")
// ===== EMA =====
ema9 = ta.ema(close, 9)
ema15 = ta.ema(close, 15)
plot(ema9, color=color.green, title="EMA 9")
plot(ema15, color=color.red, title="EMA 15")
// ===== TREND STATE =====
var int trendState = 0
// ===== ATR =====
atr = ta.atr(atrLen)
// ===== Indecision =====
bodySize = math.abs(close - open)
candleRange = high - low
indecision = bodySize <= candleRange * 0.35
// ===== SIGNAL CONDITIONS (NO Engulfing) =====
buySignal =
ema9 > ema15 and
trendState != 1 and
indecision and
close > ema9
sellSignal =
ema9 < ema15 and
trendState != -1 and
indecision and
close < ema9
// ===== UPDATE TREND STATE =====
if buySignal
trendState := 1
if sellSignal
trendState := -1
// ===== SL & TP =====
buySL = close - atr * slMult
buyTP = close + atr * slMult * rr
sellSL = close + atr * slMult
sellTP = close - atr * slMult * rr
// ===== PLOTS =====
plotshape(buySignal, text="BUY", style=shape.labelup, location=location.belowbar, color=color.green, size=size.tiny)
plotshape(sellSignal, text="SELL", style=shape.labeldown, location=location.abovebar, color=color.red, size=size.tiny)
// ===== VARIABLES =====
var line buySLLine = na
var line buyTPLine = na
var line sellSLLine = na
var line sellTPLine = na
var box buySLBox = na
var box buyTPBox = na
var box sellSLBox = na
var box sellTPBox = na
// ===== BUY SIGNAL =====
if buySignal
// Delete previous
if not na(buySLLine)
line.delete(buySLLine)
line.delete(buyTPLine)
box.delete(buySLBox)
box.delete(buyTPBox)
// Draw lines
buySLLine := line.new(bar_index, buySL, bar_index + 15, buySL, color=color.red, width=2)
buyTPLine := line.new(bar_index, buyTP, bar_index + 15, buyTP, color=color.green, width=2)
// Draw separate boxes
buySLBox := box.new(bar_index, buySL - atr*0.1, bar_index + 15, buySL + atr*0.1, border_color=color.red, bgcolor=color.new(color.red,70))
buyTPBox := box.new(bar_index, buyTP - atr*0.1, bar_index + 15, buyTP + atr*0.1, border_color=color.green, bgcolor=color.new(color.green,70))
// ===== SELL SIGNAL =====
if sellSignal
// Delete previous
if not na(sellSLLine)
line.delete(sellSLLine)
line.delete(sellTPLine)
box.delete(sellSLBox)
box.delete(sellTPBox)
// Draw lines
sellSLLine := line.new(bar_index, sellSL, bar_index + 15, sellSL, color=color.red, width=2)
sellTPLine := line.new(bar_index, sellTP, bar_index + 15, sellTP, color=color.green, width=2)
// Draw separate boxes
sellSLBox := box.new(bar_index, sellSL - atr*0.1, bar_index + 15, sellSL + atr*0.1, border_color=color.red, bgcolor=color.new(color.red,70))
sellTPBox := box.new(bar_index, sellTP - atr*0.1, bar_index + 15, sellTP + atr*0.1, border_color=color.green, bgcolor=color.new(color.green,70))
NQ-Market Momentum CompassNQ-Market Momentum Compass: User Guide
Overview
NQ-Market Momentum Compass is a comparative momentum tool that helps you visualize the relative strength between Nasdaq futures (NQ) and a volume-weighted composite of other major US index futures (ES, RTY, and YM). This indicator plots two oscillator lines that move above and below zero, making it easy to identify momentum shifts and potential divergences between tech-heavy Nasdaq and the broader market.
What You're Looking At
The indicator displays two main components:
NQ Oscillator (Blue Line): Shows the percentage change in NQ futures over your selected lookback period.
Composite Oscillator (Orange Line): Shows the volume-weighted average percentage change of S&P 500 (ES), Russell 2000 (RTY), and Dow Jones (YM) futures over the same period.
Zero Line (Gray): The center reference line dividing positive and negative momentum.
How It Works
Core Calculation
The indicator calculates percentage change over a lookback period:
For each index, it computes: (current_price - price_n_bars_ago) / price_n_bars_ago * 100
The NQ line shows this calculation for Nasdaq futures
The composite line weights the other indices by their relative trading volumes
Volume Weighting
Instead of a simple average, the composite line incorporates trading volume to give more weight to indices with higher participation. This provides a more accurate representation of overall market momentum.
How to Interpret the Indicator
Basic Interpretation
Above Zero: Price is higher than it was at the lookback period ago (positive momentum)
Below Zero: Price is lower than it was at the lookback period ago (negative momentum)
Steepness: Indicates the strength of the momentum (steeper = stronger momentum)
Comparative Analysis
When Lines Move Together: NQ is moving in harmony with the broader market
When Lines Diverge:
NQ above composite: Tech/growth is outperforming the broader market
Composite above NQ: Broader market is outperforming tech/growth
Key Signals to Watch
Crossovers Between Lines: Potential shift in sector leadership
NQ crossing above composite: Tech starting to outperform
NQ crossing below composite: Tech starting to underperform
Zero-Line Crossovers: Change in overall momentum direction
Crossing above zero: Shift to positive momentum
Crossing below zero: Shift to negative momentum
Divergences: When one line makes a new high/low while the other doesn't, suggesting potential reversal
Practical Applications
Market Rotation Analysis: Identify shifts between tech and broader market leadership
Trend Confirmation: Validate trends by checking if both oscillators are in agreement
Early Warning System: Spot when tech starts to diverge from the broader market
Relative Strength Analysis: Determine which segment of the market has stronger momentum
Customization Options
The indicator offers two main customization groups:
Calculation Settings:
Momentum Window: The lookback period for calculating percentage change (default: 20)
Price Smoothing: EMA smoothing applied to prices before calculation (default: 5)
Display Settings:
NQ Line Color: Customize the color of the NQ oscillator line
Composite Line Color: Customize the color of the composite oscillator line
Tips for New Users
Start with the Defaults: The default settings (20-period momentum window, 5-period smoothing) work well across most timeframes
Focus on Relationships: The absolute values matter less than the relationship between the two lines
Use Multiple Timeframes: Check the oscillator on both short and longer timeframes for confirmation
Watch for Extremes: When either line reaches unusually high or low values, expect potential reversion
Combine with Other Indicators: For best results, use alongside trend and volatility indicators
This oscillator is particularly useful for traders who want to understand the intermarket dynamics between tech stocks and the broader market, helping to identify sector rotation and potential trading opportunities.
KCP MACD + RSI Overlay [Dr.K.C.Prakash]KCP MACD + RSI Overlay is a price-chart indicator that combines MACD crossovers (momentum change) with RSI strength confirmation.
It gives BUY when momentum turns bullish and RSI shows strength, and SELL when momentum turns bearish with weak RSI—helping filter false signals and trade only higher-quality moves.
DERYA Dynamic Efficiency Regime Yield AnalyzerDERYA: Dynamic Efficiency Regime Yield Analyzer
Mathematical Concept and Problem Statement
Most traditional trend and momentum indicators (e.g., RSI, ADX, MACD) focus on price displacement across a series of bars. However, they are mathematically "blind" to the internal structure of each individual bar. The DERYA indicator solves the "Velocity Trap" and "Lagging Confirmation" issues by shifting the measurement space from price displacement to intrabar efficiency. It quantifies the ratio between net price progress and the total effort (range) expended within the bar.
Logic and Components
The script does not reuse any existing open-source library logic; the methodology is derived from original research. However, it utilizes standard built-in Pine Script functions for structural stabilization:
Efficiency Metaphor: The core logic calculates a proxy for microstructural health using the formula |Close - Close | / (High - Low).
Use of Exponential Moving Average (EMA): A standard ta.ema is applied to the raw efficiency data. Reason for use: Raw microstructural data is inherently noisy due to high-frequency fluctuations. The EMA is used here specifically as a low-pass filter to extract the underlying structural trend of efficiency without the overhead of more complex digital filters.
Use of Min-Max Normalization: The script utilizes ta.highest and ta.lowest over a lookback period. Reason for use: To convert an absolute efficiency metric into a bounded state variable (0-100). This ensures the indicator is adaptive to different volatility regimes, preventing the signal from becoming obsolete as market conditions change.
Interpretation
Expansion Regime (>60): Indicates a high-efficiency environment where price movement is achieved with minimal internal friction.
Collapse Regime (<40): Indicates a structural deterioration where price effort (range) significantly outweighs price progress (displacement), often signaling an imminent trend break.
Visual Integration: The script includes a barcolor feature that highlights bars where DERYA falls below 30, visually flagging points of extreme structural inefficiency directly on the price chart.
Compliance Note
This script is an original implementation of the DERYA methodology. It does not contain "copy-pasted" code from other public indicators. Standard functions (ta.ema, ta.highest, ta.lowest) are used only for their intended mathematical smoothing and normalization purposes as described above.
Scientific Documentation & Research Paper
This implementation is based on the following published research:
Title: DERYA: Dynamic Efficiency Regime Yield Analyzer - A New Microstructural State Variable for Financial Markets
Published on: Zenodo (CERN)
zenodo.org
DOI: 10.5281/zenodo.18181902
Author: Bülent Duman (Independent Researcher)
Copyright: (C) 2026 Bülent Duman
ZTC Key Levels IndicatorPick the levels of your likely and set bias for and entry levels for your needs.
