HTF Balanced Price RangeThis script is based off of TradeForOpp's BPR indicator, but I adapted it to work on higher timeframes
Motifs graphiques
ZOE IFVG+his indicator combines the original ICT Inversion Fair Value Gap (iFVG) Detector by ote618 with a manual checklist panel for trade analysis.
Features:
ICT iFVG Detector
Automatically identifies bullish and bearish inversion fair value gaps (iFVGs) based on 3-candle formation logic.
Draws colored boxes on the chart to highlight confirmed iFVG zones.
Sends optional alerts when iFVGs are confirmed, respecting your selected timeframe.
Works exactly like the original ote618 iFVG script, with no modifications to the core detection logic.
Manual Checklist Panel
Displays a customizable checklist to track key market factors:
Liquidity Sweep
HTF FVG
V-Shape Recovery
Inversion FVG
Clear Opposite DOL
SMT Divergence
Assigns a score and grade (A+ to F) based on selected conditions.
Panel position and background can be customized.
Allows traders to visually track trade quality alongside iFVG zones.
Usage:
Use the iFVG boxes to identify high-probability zones for entries and liquidity hunts.
Use the manual checklist to evaluate trades based on additional criteria, creating a structured workflow for market analysis.
Fully compatible with your existing iFVG workflow — the core detection and alerts remain unchanged.
Ideal For:
Traders following ICT concepts, liquidity hunts, and structure-based strategies who want to combine automated FVG detection with a manual trade-quality checklist.
Photon Price Action Scanner [JOAT]
Photon Price Action Scanner - Light Speed Edition
Overview
Photon Price Action Scanner is an open-source overlay indicator that detects and displays over 15 candlestick patterns with strength filtering, trend confirmation, and velocity analysis. It combines classic pattern recognition (engulfing, hammer, doji, morning/evening star) with advanced patterns (three soldiers/crows, tweezer tops/bottoms, island reversals) and gap analysis to provide comprehensive price action insights.
What This Indicator Does
The indicator detects and displays:
Classic Patterns - Bullish/Bearish Engulfing, Hammer, Shooting Star, Doji, Morning Star, Evening Star, Piercing Line, Dark Cloud Cover, Bullish/Bearish Harami
Advanced Patterns - Three White Soldiers, Three Black Crows, Tweezer Top/Bottom, Island Reversals
Gap Analysis - Detects gap up and gap down conditions
Velocity Confirmation - Filters signals by price velocity (rate of change)
Neural Bias Filter - Adaptive EMA-based trend filter with momentum adjustment
Pattern Strength - Volume and body size weighted strength calculation
How It Works
Each pattern has specific detection logic. For example, Bullish Engulfing:
isBullishEngulfing() =>
bool pattern = close < open and close > open and
open <= close and close >= open and
close - open > open - close
pattern
Three White Soldiers detection:
isThreeWhiteSoldiers() =>
bool pattern = close > open and close > open and close > open and
close < close and close < close and
open > open and open < close and
open > open and open < close
pattern
Pattern strength is calculated using volume and body size:
calculatePatternStrength(bool pattern, series float volume, simple int period) =>
float strength = 0.0
if pattern
float avgVol = ta.sma(volume, period)
float volRatio = avgVol > 0 ? volume / avgVol : 1.0
float bodySize = math.abs(close - open) / close
strength := (volRatio + bodySize * 100) / 2
strength
Neural bias filter uses adaptive EMA with momentum adjustment:
neuralEMA(series float src, simple int period, simple float lr) =>
var float neuralValue = na
var float momentum = 0.0
float error = src - neuralValue
float adjustment = error * lr
momentum := momentum * 0.9 + adjustment * 0.1
neuralValue := neuralValue + adjustment + momentum
neuralValue
Signal Generation
Signals are filtered by multiple criteria:
Strong Pattern: Pattern detected + strength exceeds threshold + trend alignment + neural bias confirmation + velocity confirmation (if enabled)
Ultra Pattern: Strong pattern + gap in same direction + velocity confirmation
Dashboard Panel (Bottom-Right)
Current Pattern - Name of detected pattern or NONE
Bull Strength - Bullish pattern strength score
Bear Strength - Bearish pattern strength score
Trend - Current trend direction (UPTREND/DOWNTREND/SIDEWAYS)
Signal Quality - STRONG BULL/STRONG BEAR/BULL/BEAR/NONE
Velocity - FAST BULL/FAST BEAR/NORMAL
Gap Status - GAP UP/GAP DOWN/NO GAP
Light Beam - Scanning intensity percentage
Action - Recommended action (ULTRA BUY/BUY/WATCH BUY/WAIT etc.)
Visual Elements
Pattern Labels - Abbreviated labels at pattern locations (BE, H, MS, SS, ES, etc.)
Neural Bias Line - Adaptive trend line
Gap Boxes - Cyan boxes highlighting gap zones
Action Zones - Dashed boxes around strong pattern areas
Light Beam - Oscillating area plot for visual scanning effect
Velocity Markers - Small circles indicating velocity confirmation
Ultra Signals - Large labels for highest conviction signals
Input Parameters
Scan Sensitivity (default: 1.0) - Overall detection sensitivity
Pattern Strength Filter (default: 3) - Minimum strength for strong signals
Trend Period (default: 20) - Period for trend determination
Show All Patterns (default: false) - Show all patterns regardless of strength
Advanced Patterns (default: true) - Enable soldiers/crows/tweezer detection
Gap Analysis (default: true) - Enable gap detection
Velocity Confirmation (default: true) - Require velocity confirmation
Neural Bias Filter (default: true) - Enable adaptive trend filter
Neural Period (default: 50) - Period for neural bias calculation
Neural Learning Rate (default: 0.12) - Adaptation speed for neural filter
Suggested Use Cases
Identify reversal patterns at key support/resistance levels
Use pattern strength to filter high-quality setups
Combine with trend direction for higher probability trades
Watch for ultra signals as highest conviction opportunities
Use gap analysis for momentum continuation or reversal setups
Timeframe Recommendations
Effective on 1H to Daily charts. Lower timeframes produce more patterns but with potentially lower reliability.
Limitations
Pattern detection is mechanical and does not consider broader context
Strength calculation is based on volume and body size, not pattern quality
Neural bias filter may lag during rapid trend changes
Gap detection requires clean price data
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Pattern detection does not guarantee trade outcomes. Always use proper risk management.
- Made with passion by officialjackofalltrades
Opens and RangesDisplays:
- Daily, Weekly, Monthly and Yearly opens
- High / Low / Midline(EQ) of previous day and previous week
ETH Vol Breakout - NO ERROR VERSIONThis strategy examines the impact of Eth.d Vol on Ethereum price. Looking at ETHDVOL -60 (Support) and 78 (Resistance)—tell a very specific story - analyzing a High Volatility Regime.
The support level around 60 and resistance 78, tend to only occurs during Bull Runs or Market Crashes.
In the "Quiet Years", ETHDVOL rarely touched 60, let alone 78.
Trying to develop a strategy that is perfectly tuned for a Bull Market or a Crisis,
1. The "60 Floor" (Support)
Context: In a high-volatility regime, when ETHDVOL drops to 60, it indicates the market has "cooled off" just enough to reload leverage.
Historical Behavior (2021-2022 Context):
July 2021: After the May crash, ETHDVOL compressed down and found support at ~65.
Result: This marked the local bottom before the massive run-up to the November All-Time Highs ($4,800).
Outcome: Strong Buy Signal (Trend Continuation).
January 2022: ETHDVOL dropped to ~58-60 while price was hovering around $3,000.
Result: The floor broke, volatility spiked to 80+, and price crashed to $2,200.
Outcome: Trap / Warning Signal.
The Pattern: When Volatility hits 60 (Support), price is usually Coiling.
If Price is trending UP: This is a "dip buy" opportunity. The coil resolves upwards.
If Price is trending DOWN: This is the "calm before the flush." The coil resolves downwards.
2. The "78 Ceiling" (Resistance)
Context: 78 is an extreme reading. It represents panic (bottom) or euphoria (blow-off top).
Historical Behavior:
May 2021 (The Crash): ETHDVOL smashed through 78, peaking at 100+.
Price Action: Price collapsed from $4,000 to $1,700.
Signal: If Vol > 78, you are in a capitulation event. Buying spot here is usually profitable within 3-6 months (buying the blood).
November 2022 (FTX Collapse): ETHDVOL spiked to ~75-80.
Price Action: ETH hit $1,100 (Cycle Lows).
Signal: Hitting 78 marked the Absolute Bottom.
November 2021 (The Top): Interestingly, at the $4,800 price peak, Volatility was NOT at 78. It was lower (~60-70).
Insight: Bull market tops often happen on lower volatility than bear market bottoms.
Tabla de EMA's y TimeframesGraphic and permanent representation of the trend of an action/CFD/stock/crypto, directly related to the technical analysis of its EMA's.
Institutional Zone Detector [Scalping-Algo]█ OVERVIEW
The Institutional Zone Detector identifies key supply and demand zones where large market participants (institutions, banks, hedge funds) have likely placed significant orders. These zones often act as powerful support and resistance levels, making them strategic areas for trade entries and exits.
This indicator is non-repainting, meaning once a signal appears on your chart, it will never disappear or change position. What you see in backtesting is exactly what you would have seen in real-time.
█ CORE CONCEPT
Markets move when large players execute substantial orders. These orders leave footprints in the form of specific candlestick patterns:
Demand Zones (Bullish)
When institutions accumulate positions, we often see a bearish candle followed by a strong bullish sequence. The last bearish candle before this move marks the demand zone - an area where buying pressure overwhelmed sellers.
Supply Zones (Bearish)
When institutions distribute positions, we typically see a bullish candle followed by a strong bearish sequence. The last bullish candle before this move marks the supply zone - an area where selling pressure overwhelmed buyers.
Price has a tendency to revisit these zones, offering potential trade opportunities.
█ HOW IT WORKS
The indicator scans for:
1. A potential zone candle (bearish for demand, bullish for supply)
2. A sequence of consecutive candles in the opposite direction
3. Optional: A minimum percentage move to filter weak signals
When all conditions are met, the zone is marked on your chart with:
• Upper and lower boundaries (solid lines)
• Equilibrium/midpoint level (cross marker)
• Extended channel lines for easy visualization
█ SETTINGS
Consecutive Candles Required (Default: 5)
Number of same-direction candles needed after the zone candle to confirm the pattern. Higher values = fewer but stronger signals.
Minimum Move Threshold % (Default: 0.0)
Minimum percentage price movement required to validate a zone. Increase this to filter out weak moves and focus on significant institutional activity.
Display Full Candle Range (Default: Off)
• Off: Shows Open-to-Low for demand zones, Open-to-High for supply zones
• On: Shows complete High-to-Low range of the zone candle
Show Demand/Supply Zone Channel (Default: On)
Toggle extended horizontal lines that project the zone levels across your chart.
Visual Theme (Default: Dark)
Choose between Dark (white/blue) or Light (green/red) color schemes.
Show Statistics Panel (Default: Off)
Displays a floating panel with exact price levels of the most recent zones.
Display Info Tooltip (Default: Off)
Shows an information label with indicator documentation.
█ HOW TO USE
Entry Strategies
1. Zone Bounce (Mean Reversion)
• Wait for price to return to a previously identified zone
• Look for rejection candles (pin bars, engulfing patterns) at zone levels
• Enter in the direction of the original zone (long at demand, short at supply)
• Place stops beyond the zone boundary
2. Zone Break (Momentum)
• When price breaks through a zone with strong momentum
• The broken zone often becomes the opposite type (broken demand becomes supply)
• Use for trend continuation trades
3. Equilibrium Trades
• The midpoint (cross marker) often acts as a magnet for price
• Can be used as a first target or as an entry point for scaled positions
Risk Management
• Always place stop-loss orders beyond zone boundaries
• Consider the zone width when calculating position size
• Wider zones = wider stops = smaller position size
• Use the equilibrium level for partial profit taking
Best Practices
• Higher timeframes produce more reliable zones
• Zones on multiple timeframes (confluence) are stronger
• Fresh/untested zones are more powerful than zones that have been touched multiple times
• Combine with other analysis methods (trend direction, volume, market structure)
█ ALERTS
Two alert conditions are available:
• "Demand Zone Identified" - Triggers when a new demand zone is detected
• "Supply Zone Identified" - Triggers when a new supply zone is detected
To set up alerts: Click on the indicator name → Add Alert → Select condition
█ IMPORTANT NOTES
• This indicator is a tool for analysis, not a complete trading system
• Signals are NOT automatic buy/sell recommendations
• Always use proper risk management
• Past performance does not guarantee future results
• Works on all markets and timeframes
• Non-repainting: Signals appear only after bar close confirmation
█ ACKNOWLEDGMENTS
Inspired by institutional order flow concepts and smart money trading methodologies. Built with a focus on reliability and practical application.
Seasonal Strategies V1Seasonal Strategies V1 is a rule-based futures seasonality framework built around predefined calendar windows per asset.
The strategy automatically detects the current symbol and activates long or short trading phases strictly based on historically observed seasonal tendencies. All entries and exits are fully time-based — no indicators, no predictions, no discretionary input.
Key Features
Asset-specific seasonal windows (MMDD-based)
Automatic long and short activation
Fully time-based entries and exits
One position at a time (no pyramiding)
Clean chart visualization using subtle background shading
No indicators, no filters, no curve fitting
Philosophy:
This strategy is designed as a structural trading tool, not a forecasting model.
It focuses on when a market historically shows seasonal tendencies — not why or how far price might move.
Seasonal Strategies V1 intentionally keeps the chart clean and minimal, making it suitable as a baseline framework for research, portfolio-style seasonal approaches, or further extensions in later versions.
Intended Use:
Futures and commodity markets
Seasonality research and testing
Systematic, calendar-driven strategies
Educational and analytical purposes
Disclaimer
This script is provided for educational and research purposes only.
Past seasonal tendencies do not guarantee future performance.
Risk management, position sizing, and portfolio decisions are the responsibility of the user.
Entropy Balance Oscillator [JOAT]
Entropy Balance Oscillator - Chaos Theory Edition
Overview
Entropy Balance Oscillator is an open-source oscillator indicator that applies chaos theory concepts to market analysis. It calculates market entropy (disorder/randomness), balance (price position within range), and various chaos metrics to identify whether the market is in an ordered, chaotic, or balanced state. This helps traders understand market regime and adjust their strategies accordingly.
What This Indicator Does
The indicator calculates and displays:
Entropy - Measures market disorder using return distribution analysis
Balance - Price position within the high-low range, normalized to -1 to +1
Lyapunov Exponent - Estimates sensitivity to initial conditions (chaos indicator)
Hurst Exponent - Measures long-term memory in price series (trend persistence)
Strange Attractor - Simulated attractor points for visualization
Bifurcation Detection - Identifies potential regime change points
Chaos Index - Combined entropy and volatility score
Market Phase - Classification as CHAOS, ORDER, or BALANCED
How It Works
Entropy is calculated using return distribution:
calculateEntropy(series float price, simple int period) =>
// Calculate returns and their absolute values
// Sum absolute returns for normalization
// Apply Shannon entropy formula: -sum(p * log(p))
float entropy = 0.0
for i = 0 to array.size(returns) - 1
float prob = math.abs(array.get(returns, i)) / sumAbs
if prob > 0
entropy -= prob * math.log(prob)
entropy
Balance measures price position within range:
calculateBalance(series float high, series float low, series float close, simple int period) =>
float range = high - low
float position = (close - low) / (range > 0 ? range : 1)
float balance = ta.ema(position, period)
(balance - 0.5) * 2 // Normalize to -1 to +1
Lyapunov Exponent estimates chaos sensitivity:
lyapunovExponent(series float price, simple int period) =>
float sumLog = 0.0
for i = 1 to period
float ratio = price > 0 ? math.abs(price / price ) : 1.0
if ratio > 0
sumLog += math.log(ratio)
lyapunov := sumLog / period
Hurst Exponent measures trend persistence:
H > 0.5: Trending/persistent behavior
H = 0.5: Random walk
H < 0.5: Mean-reverting behavior
Signal Generation
Phase changes and extreme conditions generate signals:
Chaos Phase: Normalized entropy exceeds chaos threshold (default 0.7)
Order Phase: Normalized entropy falls below order threshold (default 0.3)
Extreme Chaos: Entropy exceeds 1.5x chaos threshold
Extreme Order: Entropy falls below 0.5x order threshold
Bifurcation: Variance exceeds 2x average variance
Dashboard Panel (Top-Right)
Market Phase - Current phase (CHAOS/ORDER/BALANCED)
Entropy Level - Normalized entropy value
Balance - Current balance reading (-1 to +1)
Chaos Index - Combined chaos score percentage
Volatility - Current price volatility
Lyapunov Exp - Lyapunov exponent value
Hurst Exponent - Hurst exponent value
Chaos Score - Overall chaos assessment
Status - Current market status
Visual Elements
Entropy Line - Main oscillator showing normalized entropy
Entropy EMA - Smoothed entropy for trend reference
Balance Area - Filled area showing balance direction
Chaos/Order Thresholds - Horizontal dashed lines
Lyapunov Line - Step line showing Lyapunov exponent
Strange Attractor - Circle plots showing attractor points
Phase Space - Line showing phase space reconstruction
Phase Background - Background color based on current phase
Extreme Markers - X-cross for extreme chaos, diamond for extreme order
Bifurcation Markers - Circles at potential regime changes
Input Parameters
Entropy Period (default: 20) - Period for entropy calculation
Balance Period (default: 14) - Period for balance calculation
Chaos Threshold (default: 0.7) - Threshold for chaos phase
Order Threshold (default: 0.3) - Threshold for order phase
Lyapunov Exponent (default: true) - Enable Lyapunov calculation
Hurst Exponent (default: true) - Enable Hurst calculation
Strange Attractor (default: true) - Enable attractor visualization
Bifurcation Detection (default: true) - Enable bifurcation detection
Suggested Use Cases
Identify market regime for strategy selection (trend-following vs mean-reversion)
Watch for phase changes as potential trading environment shifts
Use Hurst exponent to assess trend persistence
Monitor chaos index for volatility regime awareness
Avoid trading during extreme chaos phases
Timeframe Recommendations
Best on 1H to Daily charts. Chaos metrics require sufficient data for meaningful calculations.
Limitations
Chaos theory concepts are applied as analogies, not rigorous mathematical implementations
Lyapunov and Hurst calculations are simplified approximations
Strange attractor visualization is conceptual
Bifurcation detection uses variance as proxy
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management.
- Made with passion by officialjackofalltrades
Buyer Volume Increasing 3 Days (Signal Only)Show an indicator when there are three consecutive trading days with increased buyer volume
Day HighlighterThis simple indicator highlights specific days of the week on your chart to assist with backtesting and pattern analysis.
Selectable Days: You can toggle specific days (e.g., Monday, Friday) on or off via the settings menu.
Visual Indicators: A red circle and the day name are displayed above the high of the candle for the selected days.
Visibility: The text is white to ensure high readability on dark backgrounds.
차트 보다가 '이게 무슨 요일이지?' 하고 일일이 날짜 확인하기 귀찮아서 만들었습니다. 설정에서 원하는 요일(예: 월요일)만 체크하면, 캔들 위에 빨간 원과 요일 이름을 자동으로 찍어줍니다. 특정 요일 무빙 복기할 때 편해요
Professional Breakout Indicator (DC + ATR Filter)Description Elements (Professional): Benefits of Donchian Channel (DC): Uses $\text{highest(high, N)}$ and $\text{lowest(low, N)}$ to determine the historical price accumulation range ($N$). Identifies resistance/support levels that serve as natural market breakout points. ATR Filter: Uses the Average True Range (ATR) multiplied by the multiplier ($\text{Multiplier}$) to increase the distance from the DC edges. Prevents False Breakouts: Signals only occur when the breakout has enough strength (momentum) to overcome the average volatility ( NYSE:ATR $). Input Parameters: Allow users to customize $N$, $\text{ATR Length}$, and $\text{ATR Multiplier}$. Flexibility: The indicator can be adapted to different assets (stocks, Forex, crypto) or timeframes. Alerts ($\text{alertcondition}$): Adds an automatic alert function when a confirmed breakout signal occurs. Convenience: Traders do not need to constantly monitor the screen. Notifications can be set to be sent to mobile phones or emails. Visuals show breakout boundaries and plot shapes clearly display buy/sell signals. Clarity: Facilitates easy visual decision-making and backtesting.
Trading Discipline Mirror How deciplined you are?
Trading Discipline Journal – Smart Feedback helps traders stay disciplined and emotionally controlled. Select your winning or losing reasons, and the indicator automatically calculates scores, evaluates your behavior, and gives clear feedback on whether you’re trading in a safe mindset or a risky one.
FX Master Confluence v41 (Smart TDI Filter)How to read your new Dashboard:
Top Row (The Boss): This is your 8-Hour WaveTrend status.
DARK GREEN: Strong Bull (Bias is Up & Above Zero). Aggressively look for buys.
LIGHT GREEN: Weak Bull (Bias is Up but Below Zero). Be cautious, could be a deep pullback.
DARK RED: Strong Bear (Bias is Down & Below Zero). Aggressively look for sells.
LTF Rows (15m - 6h):
"GOLDEN ZERO": This is the Holy Grail signal you asked for. The LTF WaveTrend just crossed the Zero line in agreement with the 8H Boss.
"REV SETUP": Standard reversal signal (useful, but lower confidence than Golden).
"TREND UP/DOWN": No signal right now, but tells you the flow of that specific timeframe.
RSI Bull bear thresholds region highlight on priceBullish & bearish relative strength thresholds
Default 61 & 39 RSI
AlgoDesk SENSEX Option Buyer v1.4//@version=6
indicator("AlgoDesk SENSEX Option Buyer v1.4", overlay=true) // timeframe removed
//---------------------- Inputs --------------------------
rsiLength = input.int(14,"RSI Length")
macdFast = input.int(12,"MACD Fast")
macdSlow = input.int(26,"MACD Slow")
macdSig = input.int(9,"MACD Signal")
bbLength = input.int(20,"Bollinger Length")
bbMult = input.float(2.0,"BB Multiplier")
//---------------------- Indicator Calculations ----------
rsi = ta.rsi(close, rsiLength)
macd = ta.ema(close, macdFast) - ta.ema(close, macdSlow)
signal = ta.ema(macd, macdSig)
basis = ta.sma(close, bbLength)
dev = bbMult * ta.stdev(close, bbLength)
upperBand = basis + dev
lowerBand = basis - dev
vwap = ta.vwap(close)
//---------------------- Conditions ----------------------
bullish_rsi = rsi > 60
bearish_rsi = rsi < 40
macd_bull = ta.crossover(macd, signal)
macd_bear = ta.crossunder(macd, signal)
above_vwap = close > vwap
below_vwap = close < vwap
bb_up = close > upperBand
bb_dn = close < lowerBand
//---------------------- Signal Logic --------------------
callSignal = bullish_rsi and macd_bull and above_vwap and bb_up
putSignal = bearish_rsi and macd_bear and below_vwap and bb_dn
//---------------------- ATM Strike Detect ---------------
atm = math.round(close/100) * 100
//---------------------- Plot Signals --------------------
plotshape(callSignal,
title="CALL BUY",
style=shape.labelup,
location=location.belowbar,
color=color.new(color.green,0),
size=size.large,
text="CALL")
plotshape(putSignal,
title="PUT BUY",
style=shape.labeldown,
location=location.abovebar,
color=color.new(color.red,0),
size=size.large,
text="PUT")
plotshape(not callSignal and not putSignal,
title="NO TRADE",
style=shape.circle,
location=location.bottom,
color=color.new(color.gray,70),
size=size.tiny,
text="NT")
//---------------------- Display BB + VWAP ----------------
plot(upperBand,"Upper BB",color=color.green)
plot(lowerBand,"Lower BB",color=color.red)
plot(vwap,"VWAP",color=color.yellow)
//---------------------- Webhook JSON --------------------
alertMessageCall = str.format(
'{"sensex":"{0}","rsi":"{1}","signal":"CALL","strike":"{2}"}',
close, rsi, atm)
alertMessagePut = str.format(
'{"sensex":"{0}","rsi":"{1}","signal":"PUT","strike":"{2}"}',
close, rsi, atm)
// Alerts fire on signal confirmation
if callSignal
alert(alertMessageCall, alert.freq_once_per_bar_close)
if putSignal
alert(alertMessagePut, alert.freq_once_per_bar_close)
AlgoDesk SENSEX Option Buyer v1.4//@version=6
indicator("AlgoDesk SENSEX Option Buyer v1.4", overlay=true) // timeframe removed
//---------------------- Inputs --------------------------
rsiLength = input.int(14,"RSI Length")
macdFast = input.int(12,"MACD Fast")
macdSlow = input.int(26,"MACD Slow")
macdSig = input.int(9,"MACD Signal")
bbLength = input.int(20,"Bollinger Length")
bbMult = input.float(2.0,"BB Multiplier")
//---------------------- Indicator Calculations ----------
rsi = ta.rsi(close, rsiLength)
macd = ta.ema(close, macdFast) - ta.ema(close, macdSlow)
signal = ta.ema(macd, macdSig)
basis = ta.sma(close, bbLength)
dev = bbMult * ta.stdev(close, bbLength)
upperBand = basis + dev
lowerBand = basis - dev
vwap = ta.vwap(close)
//---------------------- Conditions ----------------------
bullish_rsi = rsi > 60
bearish_rsi = rsi < 40
macd_bull = ta.crossover(macd, signal)
macd_bear = ta.crossunder(macd, signal)
above_vwap = close > vwap
below_vwap = close < vwap
bb_up = close > upperBand
bb_dn = close < lowerBand
//---------------------- Signal Logic --------------------
callSignal = bullish_rsi and macd_bull and above_vwap and bb_up
putSignal = bearish_rsi and macd_bear and below_vwap and bb_dn
//---------------------- ATM Strike Detect ---------------
atm = math.round(close/100) * 100
//---------------------- Plot Signals --------------------
plotshape(callSignal,
title="CALL BUY",
style=shape.labelup,
location=location.belowbar,
color=color.new(color.green,0),
size=size.large,
text="CALL")
plotshape(putSignal,
title="PUT BUY",
style=shape.labeldown,
location=location.abovebar,
color=color.new(color.red,0),
size=size.large,
text="PUT")
plotshape(not callSignal and not putSignal,
title="NO TRADE",
style=shape.circle,
location=location.bottom,
color=color.new(color.gray,70),
size=size.tiny,
text="NT")
//---------------------- Display BB + VWAP ----------------
plot(upperBand,"Upper BB",color=color.green)
plot(lowerBand,"Lower BB",color=color.red)
plot(vwap,"VWAP",color=color.yellow)
//---------------------- Webhook JSON --------------------
alertMessageCall = str.format(
'{"sensex":"{0}","rsi":"{1}","signal":"CALL","strike":"{2}"}',
close, rsi, atm)
alertMessagePut = str.format(
'{"sensex":"{0}","rsi":"{1}","signal":"PUT","strike":"{2}"}',
close, rsi, atm)
// Alerts fire on signal confirmation
if callSignal
alert(alertMessageCall, alert.freq_once_per_bar_close)
if putSignal
alert(alertMessagePut, alert.freq_once_per_bar_close)
Sarina - 6 EMA Smart Signals - V12292025Overview
This advanced trend-following indicator combines 6 Exponential Moving Averages (EMA) into three synchronized layers to provide a comprehensive view of market structure, momentum, and potential future direction. Designed with visual clarity and professional analysis in mind, it uses a dynamic "ribbon" system and a composite momentum engine.
Key Features
Triple-Layer Ribbon System: EMAs are paired in three sets (Fast, Medium, Slow). The space between each pair is dynamically colored based on the relationship between price action and momentum.
4-Stage Dynamic Coloring: The fill color isn't just about the trend; it's about strength.
Strong Bullish/Bearish: Trend and Momentum are aligned.
Weak Bullish/Bearish: Trend is present, but momentum is fading.
Composite Trend Projection: Using a physics-based velocity and acceleration algorithm, the indicator plots three non-linear projection curves to forecast potential EMA paths.
Fully Customizable Signals: Includes 12 different signal types (EMA Crossovers and MACD Zero-Cross) for each layer, all toggleable and pre-configured for a clean chart experience.
Scale-Stable UI: Optimized for TradingView’s scaling system, ensuring projection lines stay perfectly aligned with price action during manual chart adjustments.
How to Use
Trend Ribbon: Look for "Strong" colors (Solid Green/Red) for high-probability trend following.
Soft Transparency: Use the opacity settings (35%, 50%, 75%) to overlay multiple layers without cluttering your view.
Projections: Observe the curvature of the projection lines. A flattening curve often precedes a trend reversal or consolidation.
Signal Layers: Enable EMA signals for trend entries and MACD signals for early momentum warnings.
Settings
Global Colors: Customize the 4-stage trend colors to fit your dark or light theme.
Layer Controls: Independent periods for all 6 EMAs and 3 MACD oscillators.
Projection Toggle: Enable/Disable the curve forecasting system.
Breakout SignalShow big bars closing on the high or low
This script allows you to find highlighted bars (bullish green and bearish red ) for bars that close with a particular Internal Bar Strength and ATR. I set the default at showing bars with an ATR > ATR10 and the IBS can be effected to show if the bar closes at its high or low.
I also put a EMA filter here. i usually set this quite low to about 7 but can be changed depending on your preference.
NWOG Predictive AnalysisThis indicator answers the question, if it's mid week and NWOG hasn't been returned to yet, what are the odds it still gets hit? It gives you a live probability based on the current day and updates as the week progresses.
NWOG Return AnalysisThis indicator tracks the NWOG and shows what percentage of each weekday price returns to it. It tells you historically how often Monday, Tuesday, Wednesday, etc. see a NWOG touch.
MTF MACD Dynamic█ MACD PULSE MTF
Multi-timeframe MACD with 4-color dynamic histogram.
█ FEATURES
- Multi-timeframe support
- 4-color histogram (trend strength + direction)
- Dynamic MACD/Signal line colors
- Cross markers for entry signals
█ HOW TO USE
HISTOGRAM COLORS:
🟢 Bright Green = Bullish momentum increasing
🟢 Teal = Bullish momentum decreasing
🔴 Bright Red = Bearish momentum increasing
🟠 Orange = Bearish momentum decreasing
SIGNALS:
- Buy: Histogram turns green + MACD crosses above signal
- Sell: Histogram turns red + MACD crosses below signal
- Circle markers show exact cross points
█ SETTINGS
- Fast EMA: 12 (default)
- Slow EMA: 26 (default)
- Signal SMA: 9 (default)
- Custom timeframe: Select any TF while on current chart
█ TIPS
- Use higher timeframe for trend direction
- Combine with support/resistance levels
- Fading colors = potential reversal warning






















