Smart Money Confluence Heatmap [PhenLabs]📊 Smart Money Confluence Heatmap
Version: Pine Script™ v6
📌 Description
The Smart Money Confluence Heatmap is a professional‑grade Smart Money Concepts indicator designed to identify high‑probability institutional trading zones. It merges multiple advanced market factors into a single confluence score, allowing traders to focus only on areas that matter. By synthesizing Fair Value Gaps, Order Blocks, Liquidity Sweeps, Volume Strength, and Market Structure, this script removes subjective bias and replaces it with data‑driven confirmation.
🚀 Points of Innovation
Unified confluence scoring system combining five institutional concepts
Adaptive ATR‑based zone sizing for volatility‑adjusted precision
Automatic trend and structure alignment scoring
Volume‑validated Order Blocks and Liquidity Sweeps
Probability‑ranked zones instead of static levels
🔧 Core Components
Fair Value Gap detection with imbalance strength scoring
Order Block identification confirmed by displacement and volume
Liquidity sweep analysis using wick depth and volume expansion
Volume strength modeling for accumulation and distribution phases
Market structure confirmation using BOS and directional bias
🔥 Key Features
Confluence heatmap zones graded by bullish and bearish probability
Minimum score filtering to remove low‑quality setups
Automatic risk‑to‑reward based TP and SL projections
Entry alerts when price taps validated institutional zones
🎨 Visualization
Color‑graded heatmap zones representing probability strength
Percentage score labels with component icons
On‑chart dashboard displaying market bias and structure state
✅ Best Use Cases
Liquidity sweep reversals at key structure levels
Trend‑aligned pullbacks into institutional zones
Intraday and swing trading using confluence confirmation
⚠️ Limitations
Not designed for low‑liquidity or extremely ranging markets
Confluence does not guarantee outcomes and requires risk management
💡 What Makes This Unique
Objective probability scoring instead of subjective SMC interpretation
Multi‑layer institutional confirmation in a single indicator
Built for traders who demand clarity, not chart clutter
💡 Note:
This indicator is for educational purposes only and should always be used alongside proper risk management and higher‑timeframe context.
تحليل الاتجاه
Market Breadth & Sector Rotation Analyzer -[KK]A real-time market environment analyzer for NSE India built for swing traders and breakout traders.
Designed to answer one question before every trade: Should I take this trade today?
What This Indicator Does
Analyzes 33 NSE indices across market cap, sectors, themes, and volatility to deliver a complete snapshot of current market health, sector rotation, and risk conditions. Shows only live conditions with no historical clutter.
Market Breadth Score 0–100
Composite score based on 30 percent market cap breadth, 40 percent sector breadth using 19 sectors above 50 MA, 25 percent long-term momentum using 200 MA, and 5 percent India VIX for volatility and fear assessment.
Actionable Trading Guidance
Automatically classifies market regime as Bull, Trending, Neutral, or Bear. Provides clear trade guidance, position sizing recommendations, and sector focus based on current market conditions.
Sector Rotation Analysis
Groups sectors into five mega sectors.
Financial: Banks, Private Banks, PSU Banks, Finance, Financial Services
Technology: IT, Services, Media
Cyclical: Auto, Metal, Realty, Infra, Energy, Oil and Gas
Defensive: FMCG, Pharma, Healthcare
Consumer: Consumer Durables, Consumption
Market Phase Detection
Identifies Expansion, Recovery, Defensive, Contraction, or Rotation phases based on sector leadership. Helps align trades with the broader economic cycle.
Trading Rules by Market Breadth
75 to 100: Bull market, trade all quality setups with full position size
60 to 75: Trending market, selective trades with normal size
40 to 60: Neutral market, very selective trades with 50 percent size
Below 40: Bear market, raise cash and use minimal exposure
Sector Strength Interpretation
Above 80 percent: Leading sector, trade aggressively
60 to 80 percent: Strong sector, good opportunities
40 to 60 percent: Weak sector, be selective
Below 40 percent: Avoid or use minimal exposure
Defensive Sector Logic
High defensive strength signals fear, not strength. Defensive above 70 percent with weak technology indicates market topping. Defensive below 40 percent indicates a risk-on environment.
Indices Covered
Market Cap: NIFTY, CNX100, CNX500, NIFTY Total Market, NIFTY Midcap 150, CNX Midcap, NIFTY Mid Small 400, NIFTY Small-cap 250, NIFTY 500 Multicap, NIFTY IPO
Banking and Finance: BANKNIFTY, NIFTY Private Bank, CNX PSU Bank, CNX Finance, NIFTY Fin Service 25 50
Technology: CNX IT, CNX Service, CNX Media
Cyclicals: CNX Auto, CNX Metal, CNX Realty, CNX Infra
Energy: CNX Energy, NIFTY Oil and Gas, CPSE
Defensives: CNX FMCG, CNX Pharma, NIFTY Healthcare
Consumer: NIFTY Consumer Durables, CNX Consumption
Thematic: NIFTY MNC, NI15
Volatility: India VIX
Market Alerts
Bull Market alert when breadth crosses above 75
Bear Market alert when breadth drops below 40
Broad Rally alert when more than 75 percent of sectors are bullish
Settings
Table position with 9 placement options, table size from Tiny to Large, customizable short and long moving averages. Default settings are Top Right position, Normal size, 50 MA and 200 MA.
Best Useful Script for
Ideal for swing traders, breakout traders, position traders, and NSE equity traders who need market context before taking trades. Not suitable for scalping, day trading, or non-NSE markets.
Disclaimer
This indicator is for educational purposes only and does not constitute any kind of financial advice to buy/sell any financial securities.
Trading involves risk and past performance does not guarantee future results.
Trend FollowingThis indicator acts as an all-in-one "Head-Up Display" for Swing Trading. It takes complex criteria—trend, volume, volatility, and market strength—and simplifies them into clear visual signals.
🚦 How It Works (The Traffic Light System)
Instead of guessing if a stock is in a valid setup, just look at the background color:
Green Background: The "Context" is good. The stock has ignited, is trending above key moving averages (10/20/50), and is near 52-week highs.
Lime (Bright Green) Background: Elite Setup. The stock has good context AND high Relative Strength vs the S&P 500. These are your A+ candidates.
No Color: The trend is weak or broken. Move on.
🔍 Key Features
1. The "Tightness" Monitor (VCP) Great breakouts happen when volatility dries up (the "calm before the storm").
Blue "T" Label: Marks bars where price range and volume have tightened significantly.
Base Box: Automatically draws a box around the consolidation area so you can see the "Floor" and the "Ceiling" clearly.
2. Pocket Pivots (New in v8.0)
Blue Dots: These signal "Pocket Pivots"—days where institutional buying volume is quietly stepping in before the breakout occurs. Think of these as "footprints" of smart money.
3. Relative Strength (RS) Filter
This doesn't just look at the stock price. It checks if the stock is outperforming the S&P 500 (SPY).
Dashboard Status: Tells you instantly if the RS Rating is "ELITE" (Leaders) or "LAGGING" (Laggards).
4. Safety Checks
Earnings Warning: A dashed yellow line appears if Earnings are less than 5 days away. Don't get caught by surprise!
Surfing Mode: Detects when a stock is "surfing" the 5-day Moving Average for aggressive momentum trades.
🛠 How to Trade With It
Find the Trend: Look for stocks with a Green/Lime Background.
Wait for the Squeeze: Look for Blue "T" labels or the Gray Box to form. This means the stock is resting.
Spot the Entry: Watch for a Blue Dot (Pocket Pivot) for an early entry, or wait for the price to break above the White Breakout Line.
Market Up and Low VolatilityMarket Up and Low Volatility is a trend-filter indicator designed to help traders visually identify periods when an equity index is in an upward trend and market volatility is relatively low. The script combines price trend analysis using exponential moving averages (EMAs) with external volatility confirmation to highlight more favorable risk environments.
Concept and Methodology
This indicator is based on two core ideas:
1. Trend Confirmation Using EMAs
The script calculates a 10-period EMA and a 20-period EMA on the selected index (default: S&P 500).
A bullish trend condition requires:
The 10 EMA to be above the 20 EMA
Both EMAs to be rising compared to their values three bars ago
This helps confirm not just trend direction, but also trend momentum.
2. Volatility Filter Using an External Symbol
The indicator also fetches data from a volatility index (default: VIX).
A user-defined volatility threshold is applied
When volatility is below this threshold, it is treated as a lower-risk market environment
Only when both trend and volatility conditions align does the indicator consider the environment favorable.
Visual Output
The index price is plotted in a separate pane.
The plot dynamically changes color:
Green when all trend and volatility conditions are met
Red when one or more conditions are not met
This color-based approach allows traders to quickly assess market conditions without interpreting multiple indicators.
How to Use
This indicator is intended as a market condition filter, not a standalone buy or sell signal.
It can be used to:
Confirm whether broader market conditions are supportive of long strategies
Avoid trading during periods of elevated volatility or weakening trends
Complement existing entry and exit systems
Users can customize:
The index symbol
The volatility symbol
The volatility threshold
to adapt the indicator to different markets or trading styles.
Notes
Calculations are performed on daily timeframe data, regardless of the chart timeframe. This indicator does not predict future price movement and should be used alongside proper risk management and additional analysis.
Adaptive Strength Overlay (MTF) [BackQuant]Adaptive Strength Overlay (MTF)
A multi-timeframe RSI strength visualizer that projects oscillator “pressure” directly onto price using adaptive gradient fills between percent bands. Built to make strength, exhaustion, and regime context readable at a glance, without needing to stare at a separate oscillator panel.
Mean-Reversion mode example
What this indicator does
This indicator converts RSI strength into a chart overlay that reacts to momentum and extremes, then visualizes it as colored “pressure zones” around price.
Instead of plotting RSI in a sub-window, it:
Builds 1 to 3 symmetric percent bands above and below price.
Computes RSI strength on up to 3 different timeframes (MTF).
Smooths RSI with your selected moving average type.
Maps RSI values into discrete transparency “buckets”.
Fills between the bands with a gradient whose opacity reflects strength or exhaustion.
Displays a compact RSI table for all enabled timeframes.
Provides alert conditions for extremes and midline shifts on each timeframe.
The result is an overlay that looks like a dynamic envelope. When strength rises, the envelope “lights up” in the direction of the move. When strength becomes stretched, the outer zones become visually prominent.
Core idea: “Strength as an overlay”
RSI is normally interpreted in a separate oscillator panel. That makes context-switching slow:
You check price action.
You look down at RSI.
You mentally translate RSI into risk or trend bias.
This script removes that translation step by projecting strength directly onto the price area, using band fills as a visual language:
More visible fill = stronger strength or more extreme condition (depending on mode).
Less visible fill = weak strength or neutral state.
Two operating modes
1) Trend mode
Trend mode emphasizes strength aligned with direction:
When RSI is strong on the upside, upper bands become more visible.
When RSI is strong on the downside, lower bands become more visible.
Neutral RSI fades, so the chart de-clutters during chop.
Use Trend mode when:
You want a clean trend-following overlay.
You want to quickly see which timeframe(s) are powering the move.
You want to filter entries to moments when strength confirms direction.
2) Mean-Reversion mode
Mean-Reversion mode flips the emphasis to highlight exhaustion against the move :
Upper extremes become a “potential exhaustion” cue.
Lower extremes become a “potential exhaustion” cue.
The overlay is tuned to make stretched conditions obvious.
This is not an automatic “short overbought / long oversold” system. It is a visualization mode that makes “extended” conditions stand out faster, especially when multiple timeframes align.
How the bands work (Percent Bands)
The indicator constructs up to three symmetric envelopes around price:
Band 1: percent1 scaled by scale
Band 2: percent2 scaled by scale (optional)
Band 3: percent3 scaled by scale (optional)
The percent bands are simple deviations from the selected price source:
Upper = price * (1 + (percent * scaling)/100)
Lower = price * (1 - (percent * scaling)/100)
Why this matters:
It anchors “strength visualization” to meaningful price distance.
It makes the overlay comparable across assets because it’s percent-based.
It gives you a consistent spatial frame for reading momentum versus extension.
Multi-timeframe engine (MTF)
The script runs the same strength calculation on up to three timeframes:
Timeframe 1 uses the chart timeframe by default (empty string input).
Timeframe 2 is optional and defaults to Daily.
Timeframe 3 is optional and defaults to Weekly.
Each timeframe has:
Its own RSI period (len, len2, len3).
Its own smoothing length (slen, slen2, slen3).
The same smoothing type selection (EMA, HMA, etc).
This creates a layered view:
TF1 often reflects tactical pressure (entries/exits).
TF2 reflects structural pressure (swing context).
TF3 reflects macro bias (regime context).
When multiple timeframes agree, the fills stack and the overlay becomes visually louder. When they disagree, the overlay looks mixed or muted, which is exactly the point.
Smoothing options (why so many)
Raw RSI can be noisy. This script lets you smooth RSI with multiple MA types, which changes how “responsive” the overlay feels:
EMA/RMA smooth without lagging as hard as SMA.
HMA responds faster but can be twitchy.
LINREG can feel more “structural”.
ALMA and T3/TEMA provide heavier smoothing profiles with different lag characteristics.
This isn’t cosmetic. Your smoothing choice affects:
How early the overlay “lights up” in Trend mode.
How long extremes remain highlighted in Mean-Reversion mode.
How often fills flicker in chop.
Strength mapping (the transparency buckets)
Instead of mapping RSI to a continuous color scale, the script uses a discrete transparency ladder. That creates a clean, readable visual that avoids constant flickering.
The logic assigns two transparency values per timeframe:
Upper-side transparency responds to lower RSI zones (weak upside strength).
Lower-side transparency responds to higher RSI zones (strong upside strength).
Then the script uses those transparencies differently depending on mode:
Trend mode shows “strength aligned with direction”.
Mean-Reversion mode swaps the emphasis so “extremes” stand out as potential stretch.
You can think of it as:
Trend mode highlights continuation strength.
Mean-Reversion mode highlights potential exhaustion.
Fill stacking (how the overlay is built)
The overlay uses layered fills:
Fill from price to Band 1
Fill from Band 1 to Band 2 (if enabled)
Fill from Band 2 to Band 3 (if enabled)
Upper side uses the negative color (typically red) and lower side uses the positive color (typically green), because upper bands represent “above price” space and lower bands represent “below price” space. The intensity is controlled by the computed transparency per timeframe and selected mode.
Important behavior:
Disabling Band 2 or Band 3 can change how the stacked fills look, because you are removing fill segments.
If you want a clean look, run only Band 1.
If you want a “regime heat” look, run Bands 1–3 with higher scaling.
Table (MTF RSI dashboard)
A compact table prints RSI values for each configured timeframe:
Row labels show TF.
Values show the smoothed RSI output that drives the overlay.
Use it for quick confirmation:
If overlay looks strong but table RSI is neutral, your band settings might be too tight.
If TF3 RSI is extreme while TF1 is neutral, you are likely in a macro stretched regime with local consolidation.
Alerts (built-in)
Alerts are provided for each timeframe separately, covering:
Entering upper extreme (cross above 70)
Exiting upper extreme (cross below 70)
Entering lower extreme (cross below 30)
Exiting lower extreme (cross above 30)
Bullish midline cross (cross above 50)
Bearish midline cross (cross below 50)
This enables workflows like:
Notify when TF2 enters extreme, then wait for TF1 mean-reversion confirmation.
Notify when TF3 crosses midline, then only take TF1 trend setups in that direction.
How to use it (practical reads)
Trend mode reads
Strong continuation: TF1 and TF2 fills become clearly visible on the same side.
Healthy pullback: TF1 fades but TF2 stays visible, suggesting underlying structure remains strong.
Chop warning: fills alternate or remain mostly invisible, indicating neutral strength.
Mean-Reversion mode reads
Exhaustion zones: outer fills become prominent near the extremes, signaling stretched conditions.
Compression after extreme: fill fades while price stabilizes, suggesting “cooling off” rather than immediate reversal.
Multi-TF stretch: TF2 and TF3 extremes together often mark higher significance zones.
Recommended setup presets
Preset A: Clean trend overlay
Mode: Trend
Bands: only Band 1
Scale: 1–2
Smoothing: EMA, moderate slen (6–10)
TF2: Daily on intraday charts
Preset B: Regime and exhaustion mapper
Mode: Mean-Reversion
Bands: Bands 1–3
Scale: 2–4
Smoothing: T3 or RMA, slightly higher slen
TF2: Daily, TF3: Weekly
Limitations
This is a strength visualization tool, not a full entry/exit system.
Percent bands are not volatility-adjusted, they are distance frames. In very high vol conditions, you may need higher band percentages or higher scaling.
MTF values update on their own timeframe closes, so higher timeframes will step rather than update every bar.
Area per IntervalDescription
This indicator shades the area between 2 curves, an SMA and the nearest open/close to the SMA, and their intersections. The black labels with leader lines describe the calculated area of each shaded section, and the total area accumulated per total number of time intervals for that area. The additional value visible in the status line that is not displayed on the chart is, at any bar index (time interval), the current total area of the incomplete shaded area.
Usage
- The default color of the shaded areas denote the type of momentum being built before the cross. Green for bullish, red for bearish.
- The area value of the shaded areas can be used as a capacity indicator, denoting imbalances between the previous and next crosses.
- The area per interval value of the shaded areas can be used as a momentum indicator, denoting which area is carrying more price movement before the price crosses.
- Similar to indicators that use dynamic price differences between OHLC data, moving averages, etc, confluence with other momentum indicators that use different elements creates additional confirmation.
Conclusion
Simple momentum indicator. Comment for possible updates that can be made.
Classic Chartism-Market Structure- Support.ResistanceClassic Chartism – Market Structure + Support & Resistance
This indicator is designed for traditional chart-based technical analysis, relying exclusively on price action and market structure, without the use of oscillators or lagging indicators.
The script automatically detects significant swing highs and swing lows using confirmed pivots and classifies price structure according to classic market structure notation:
HH (Higher High)
HL (Higher Low)
LH (Lower High)
LL (Lower Low)
Based on these swings, the indicator plots horizontal Support & Resistance (SR) levels, representing historically significant areas of supply and demand. These levels remain active until invalidated by price, providing a clear and objective market context.
The indicator does not repaint once a swing is confirmed, making it suitable for real-time analysis and discretionary trading decisions. It performs well across cryptocurrencies, futures, indices, and equities, and is particularly useful for trend identification, pullback entries, and structure-based risk management.
Algonova TrendFlowWhat was previously a (very!) manual process of looking at "UPs" and "DOWNs" to determine which way the market is "flowing" has now been automated! Urban TrendFlow is an immense timesaver for our users as we search for opportunities to go long and short (and especially when we need to sit on our hands and let uncertain markets "find their flow".
Trade with TreandThink of this script as a filter and a signal light for trading Gold. It helps you avoid trading in the wrong direction and tells you exactly when the price momentum is shifting.
The Three Main Parts
The Ultimate Trend (The Filter):
This is the big table in the top-right corner.
Bullish (Green): Only look for BUY signals.
Bearish (Red): Only look for SELL signals.
It uses a "300 SMA" (a long-term average) to make sure you aren't "swimming against the tide."
The Entry Signals (The Crossover):
The script watches two lines on your chart (a 20-period and a 10-period).
When they cross, it places a BUY or SELL label on your screen.
The 4 Alerts (The Notifications):
You don't have to stare at the screen all day.
You get a notification for Buy entries, Sell entries, or when the Main Trend flips from Bullish to Bearish (or vice versa).
Simple Rules for Trading
To be successful with this script, follow these four rules:
Rule 1: Check the Table. If it says "Bearish," ignore all "BUY" labels.
Rule 2: Wait for the Label. Only enter a trade when a "BUY" or "SELL" label appears and it matches the trend table.
Rule 3: Protect Your Money. Look at the last 5 candles. Put your Stop Loss just past the highest or lowest point of those candles.
Rule 4: Aim for the Target. Your profit target should be at least double the amount of money you are risking (Risk:Reward 1:2).
How to use the Settings
When you click the Settings icon on the script, you can change:
SMA Filter: Change the "300" if you want the trend to be faster or slower.
Trend Gap: Adjust how far the trailing line stays away from the price.
Nifty OI Support Resistance This study is designed for educational purposes to assist traders in analyzing price structure on the Nifty 50 index. It creates visual reference zones based on standard mathematical intervals used in the derivatives market.
Purpose of the Tool: In the Nifty 50 index, price action is often analyzed relative to "Round Numbers" or standard strike intervals (e.g., multiples of 50). This script automatically plots these mathematical reference levels relative to the current price to help users observe price behavior.
How It Works: This indicator uses a mathematical formula to identify the nearest standard strike price intervals based on the current close price.
Strike Logic: It projects levels at standard 50-point intervals (Nifty's standard strike distance).
Volatility Buffers: It adds a user-defined buffer (default: 30 points) around these levels to visualize a "zone" rather than a specific price point.
Major Levels: It visually distinguishes major round numbers (multiples of 500) which are often significant for technical analysis.
Features:
Automated Plotting: Adjusts dynamically as price moves to show relevant upper and lower reference bands.
Zone Visualization: Helps in identifying potential areas of support or resistance based on technical structure.
Customizable: Users can adjust the strike distance and buffer range to suit different volatility conditions.
Usage: This tool is intended to be used as a visual aid for Technical Analysis. It allows users to see where the price is located relative to standard Nifty intervals.
⚠️ STANDARD DISCLAIMER & DISCLOSURE:
Nature of Content: This script and description are for educational and informational purposes only.
No Financial Advice: This tool does not constitute investment advice, buy/sell recommendations, or trading tips.
Not SEBI Registered: The author is not a SEBI registered Research Analyst (RA) or Investment Advisor (IA).
Methodology: The levels displayed are generated purely via mathematical calculation based on price inputs and do not represent real-time exchange Open Interest data.
Risk Warning: Trading in securities market is subject to market risks. Read all the related documents carefully before investing. User discretion is advised.
Advanced Dynamic RSI Pro40-60
Oscillation Phase: Market is in consolidation. Expect sideways movement with no clear trend.
>60
Bullish Signal: A breakout above 60 confirms upward momentum and trend strength.
<40
Bearish Signal: Dropping below 40 confirms a downward trend and selling pressure.
The depth of the MA (reaching levels above 70 or below 30) clearly visualizes extreme Overbought or Oversold market conditions.
Ali Bin Yahya @pa_4cA simple and clean indicator that combines an Exponential Moving Average (EMA) with a Session-based VWAP that resets daily. It helps traders identify the overall trend and the fair price level during the current trading session.
Ideal for intraday trading, trend confirmation, and spotting dynamic support and resistance levels.
%-to-Tick Trailing Stop & VisualizerPercent-to-Tick Trailing Stop (strategy.exit Framework + Visualizer)
Overview
This script focuses on exit management and visualization, not entry performance. The included MA crossover entry is intentionally simple and replaceable.
Core idea (Percent → Tick conversion)
strategy.exit() trailing parameters are tick-based (trail_points, trail_offset, and loss).
This script lets you input distances in percent (%) and converts them into integer ticks using syminfo.mintick, making the same exit logic portable across most tick-based symbols/exchanges with different tick sizes.
//==What it provides==//
1. % → tick conversion for:
- Fixed stop loss (loss)
- Trailing activation distance (trail_points)
- Trailing offset distance (trail_offset)
2. On-chart visualization:
- Entry average price
- Trailing activation threshold
- Fixed stop-loss line
- Trailing stop line (with an exit-bar alignment attempt to reduce gaps)
//==How to use==//
1. Keep the included MA crossover entries, or replace them with your own entries.
2. Configure:
- Fixed Stop Loss % (loss_pct)
- Trailing Activation % (t_points_pct)
- Trailing Offset % (t_offset_pct)
3. Adjust commission/slippage defaults to match your market.
//==Important limitations (must read)==//
- calc_on_every_tick=true recalculates on realtime bars only; historical bars are evaluated differently. Backtests can differ from realtime behavior and may change after reload.
- Tick rounding: percent distances are rounded to integer ticks, so small differences can occur depending on tick size and price level.
- For more realistic intrabar backtesting, consider enabling Bar Magnifier in Strategy Properties (if available).
# Average Entry Price (Basis):
"Calculations are based on the position's average entry price (strategy.position_avg_price)."
# Pine Script v6:
"Written in the latest Pine Script v6."
요약
이 스크립트의 핵심은 “진입 전략”이 아니라 **strategy.exit()의 tick 기반 트레일링 파라미터를 % 입력으로 일반화(%→ticks 변환)**하여, 다양한 심볼/거래소의 서로 다른 tick size 환경에서도 동일한 exit 로직을 재사용할 수 있게 만든 “청산 프레임워크”입니다. 또한 calc_on_every_tick=true 환경에서 트리거/손절/트레일 라인을 실시간에 가깝게 시각화하는 데 중점을 두었습니다.
단, calc_on_every_tick은 실시간 바에서만 틱 단위 재계산이 적용되며, 히스토리 바/백테스트는 평가 방식이 달라 결과가 다를 수 있습니다.
Momentum Burst + Absolute Momentum(TI65) + EP9M)This is a momentum burst indicator popularized by StockBee (hey EGeee). Track the stock absolute momentum for continuation breakout. Last but not least, identify EP9M. It can be Episodic pivot 9M volume breakout as a classic EP (CANSLIM type) for a long term trade or a regular EP9M or EP9M delayed reaction for swing trade. KISS - don't over complicate.
SMAcross-mvrOverview
SMAcross-mvrNew is a flexible, non-repainting moving-average strategy designed for clarity, configurability, and reliable backtesting.
It supports multiple entry styles, optional layered exits, and full-capital position sizing, while remaining stable during chart zooming and dragging.
🚀 What’s New in v2
✅ Multiple Entry Modes
You can now choose how trades are entered:
Entry Mode A: Short SMA crosses Long SMA
Entry Mode B: Price crosses Long SMA
This allows both classic MA-crossover trading and trend-continuation pullback entries using the same strategy.
✅ Modular Exit System (Checkbox-Based)
Exit logic is now fully modular using independent checkboxes:
☑ Exit on opposite signal
☑ Exit when price closes beyond Short SMA
You may enable one, both, or neither.
If both are enabled, the strategy exits on whichever condition occurs first.
✅ Terminology Clarity
All labels, inputs, and alerts now use semantic naming:
Short SMA (formerly 13 SMA)
Long SMA (formerly 30 SMA)
This makes the strategy easier to understand and future-proof if SMA lengths are changed.
✅ Full-Capital Position Sizing
Each trade uses 100% of available equity, allowing performance to naturally compound over time during backtests.
✅ Optional Visual Enhancements
Optional cross price labels (can be toggled on/off)
Color-filled zone between Short and Long SMAs for quick trend recognition
Optional 200 SMA (off by default) for higher-timeframe context
✅ Alert-Ready (TV-Safe)
All alerts use static messages compatible with TradingView’s alert system, making the strategy suitable for:
Manual trade notifications
Webhook-based automation
Broker integrations
🔒 Design Principles
No repainting
No line continuations (TradingView-safe formatting)
Stable behavior when zooming or scrolling
Clear separation of entry logic, exit logic, and visuals
⚠️ Notes
This script is intended for educational and research purposes.
Always forward-test and apply proper risk management before live trading.
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.
Multi-Metric Market Regime Detector - [KK]This indicator identifies current market behavioral regimes by synthesizing six complementary analytical methodologies. Rather than generating trading signals, it provides contextual analysis to help traders understand market conditions and adapt their strategies accordingly.
Markets cycle through distinct behavioral states - trending efficiently, consolidating in ranges, compressing before breakouts, or transitioning between states. This tool quantifies these conditions using only price action data (OHLC), enabling traders to filter strategies based on current market structure.
Core Methodology
The indicator combines six independent metrics into a weighted composite classification system:
Efficiency Ratio (30% weight)
Measures the signal-to-noise ratio of price movement by comparing net price displacement to total path traveled. High efficiency indicates clean directional movement; low efficiency indicates choppy, noisy conditions.
Choppiness Index (25% weight)
Quantifies whether the market is trending or consolidating by comparing cumulative True Range to actual price range. Values below 38.2 suggest trending behavior; values above 61.8 suggest range-bound consolidation.
Volatility Analysis (20% weight)
Detects compression and expansion cycles using the relationship between Bollinger Bands and Keltner Channels. Compression phases (squeeze conditions) often precede significant directional moves.
Fractal Efficiency Proxy (10% weight)
Analyzes path complexity by comparing net displacement to cumulative range, providing insight into the smoothness versus randomness of price action.
Market Structure (15% weight)
Examines pivot point sequences to identify structural trends. Higher Highs and Higher Lows indicate bullish structure; Lower Lows and Lower Highs indicate bearish structure.
Wick-to-Body Ratio Analysis (qualitative)
Identifies rejection and indecision patterns by measuring the proportion of candle wicks to bodies, highlighting potential reversal zones or liquidity events.
Regime Classifications
The composite scoring system produces four distinct regime states:
TRENDING : High efficiency, low choppiness, clear directional structure. Favorable conditions for momentum and trend-following strategies.
CHOPPY/RANGE : Low efficiency, high choppiness, mean-reverting behavior. Favorable conditions for range trading and counter-trend setups.
COMPRESSION : Volatility squeeze detected, market coiling. Anticipate expansion; reduce position size until breakout confirmation.
TRANSITION : Mixed signals, conflicting metrics, unclear direction. Recommended to reduce exposure and wait for regime clarity.
Visual Features
Regime-Colored Candles (enabled by default)
Candles are colored according to the current regime state for immediate visual identification. Green indicates trending, gray indicates choppy, orange indicates compression, and yellow indicates transition.
Comprehensive Metrics Table (top right)
Displays real-time values for all six metrics along with individual regime assessments and the final composite classification with score.
Regime Guide Table (middle right)
Quick reference guide showing recommended strategies and actions to avoid for each regime state.
Chart Label ( optional)
Summary label displaying current regime and key metric values.
Background Coloring (optional)
Alternative visualization using background colors instead of candle coloring.
Indicator Plots (optional)
Displays Efficiency Ratio and Choppiness Index with threshold reference lines.
Customization Options
All calculation parameters are adjustable:
- Efficiency Ratio lookback period and thresholds
- Choppiness Index length and classification thresholds
- Volatility analysis parameters (BB/KC multipliers and lengths)
- Pivot detection sensitivity (left/right bars)
- Text size controls for both tables (Tiny to Huge)
- Visual element toggles (candles, background, label, tables, plots)
The indicator automatically detects chart theme (dark/light) and adjusts text colors for optimal readability.
Practical Application
This is a context tool, not a signal generator. Use it to:
- Filter trend-following strategies to trending regimes only
- Identify range-bound conditions for mean-reversion setups
- Anticipate breakout opportunities during compression phases
- Reduce exposure during transitional periods with mixed signals
- Improve risk management by matching position size to regime clarity
The indicator works on all timeframes and instruments using only OHLC data. Higher timeframes generally provide more stable regime classifications.
Alert Conditions
Four alert types are available:
- Efficiency Ratio crosses trend threshold
- Choppiness Index enters range territory
- Volatility squeeze released
- Regime state change detected
Technical Notes
Built with Pine Script v5. Uses up to 500 bars of historical data for stable calculations. All metrics are calculated in real-time with no repainting on confirmed pivots. Compatible with all chart themes through adaptive text coloring.
Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial advice or trading recommendations. Past performance and theoretical analysis do not guarantee future results. Always conduct independent research and implement appropriate risk management. Trading financial instruments involves substantial risk of loss.
Usage Philosophy
The goal is not to trade more frequently, but to think more clearly about market conditions. Use this tool to develop deeper intuition about market structure and to enforce discipline by avoiding low-probability setups during unfavorable regime conditions.
cd_bias_profile_Cxcd_bias_profile Cx
Overview:
cd_bias_profile_Cx is an all-in-one professional analysis terminal designed to determine market direction (Bias) based on institutional trading strategies (SMC & ICT). This tool integrates multi-timeframe (MTF) data, institutional liquidity sweeps, SMT divergences, and candle closure confirmations into a single cohesive structure, providing traders with a comprehensive map of institutional Order Flow.
🚀 Advanced Hierarchical Profile Architecture
The indicator visualizes the market through a three-layered hierarchy (Major, Middle, Plot), allowing you to see exactly which higher-tier structure the current price action is serving.
• Smart Timeframe (Auto-TF) Logic: In "Auto" mode, the system automatically selects the most logical hierarchy based on your chart interval using the following sequence:
.
o Example Scenario: If your chart is set to 5-Minute (5m):
Major (Macro Structure): H4 (The outermost container candle)
Middle (Intermediate Structure): H1 (Mid-scale candle)
Plot (Local Structure): 15m (The smallest nested high-timeframe candle)
• Nested Candle Design: Each high-timeframe candle is rendered as transparent boxes with specific body colors, encapsulating the lower-tier price action (OHLC) within it.
• Cyclical Refresh: Profile drawings reset automatically at the opening of every new Major timeframe candle. This ensures the analysis remains focused on the freshest institutional cycle.
🧠 Bias Algorithm & Decision Mechanism
To eliminate subjective interpretation, the algorithm operates on a purely mathematical logic based solely on Candle Closures (Close). It generates three distinct outcomes:
1. Reversal:
o Condition 1: A liquidity Sweep must occur at the HTF level.
o Condition 2 (SMT Confirmation): If no sweep is detected on the primary pair, the algorithm automatically scans correlated assets (e.g., checking GBPUSD or DXY for an EURUSD trade). An SMT Divergence in a correlated asset is accepted as institutional manipulation confirmation.
o Final Trigger: Once a CISD (Change in State of Delivery) occurs on the Lower Timeframe (LTF), the "Reversal" bias is confirmed.
2. Continuation: When a high-timeframe candle closes convincingly above/below the previous candle's High or Low, the algorithm reports that the current trend maintains its strength.
3. Indeterminate: In "non-delivery" zones where the market neither sweeps liquidity nor creates a structural break, the algorithm remains neutral to prevent overtrading.
🚨 Alert Center
The alert system is designed for high-confluence setups, ensuring you never miss a structural shift:
• Flexible TF Selection: You can manually toggle which of the 5 tracked timeframes (1M, 1W, 1D, etc.) should trigger notifications based on your strategy.
• "Any of Them" Function: When enabled, an instant notification is sent the moment a "Reversal" or "Continuation" signal forms on any of your selected timeframes.
• Directional Filtering: You can filter alerts to receive only "Bullish" or only "Bearish" setups, allowing you to align with your primary macro bias.
⚙️ Pro Tips for Usage
• Invalidation Lines: The dashed lines on the chart indicate the exact price level where the institutional bias is "invalidated." These serve as professional-grade stop-loss levels.
• B-ADJ Support: For Futures traders, back-adjustment settings are optimized within the code for seamless data transition.
• Manual Mode: If you wish to use custom timeframes not found in the standard sequence (e.g., 2-hour or 3-day charts), you can define them via the "Manuel" settings toggle.
• High-probability trade setups can be expected when there is multi-timeframe alignment in the same direction.
• Strategic Use Cases: The indicator is optimized for trading Distribution Phases within advanced frameworks. Whether you are looking for the C3 candle in the Universal Model or the Distribution (D) phase in an AMD (Power of 3) setup, this tool provides the necessary structural confirmation.
• User Discretion: Please note that this is a directional bias tool. While it identifies which direction is supported by multi-timeframe alignment, the final execution and entry management on lower timeframes are the user's responsibility.
• Always remember to seek additional confluence before executing a trade.
Chart Visual
Profile Visual
Example (SMT Usage) : On the chart, while the 10:00 H1 candle on GBPUSD sweeps its previous candle's liquidity, its correlated pair EURUSD does not show a sweep. If the "Use SMT for Bias" option is enabled, this SMT divergence with the correlated pair is accepted as a valid HTF Sweep. Upon the new candle open, once a 5m CISD confirmation occurs on EURUSD, the Bias Table will display "Bearish" for the H1/5m row.
Entry examples:
Please feel free to share your feedback and suggestions in the comments below.
Happy trading!
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.
Nested SMA WaveThe "Nested SMA Wave" is a custom Pine Script (v5) indicator for TradingView that overlays a series of 8 Simple Moving Averages (SMAs) on the price chart. These SMAs use exponentially increasing lengths based on powers of 2, starting from a user-defined base length (default: 25). This creates lengths like 25, 50, 100, 200, 400, 800, 1600, and 3200.
Each SMA is plotted in a distinct color, forming a "wave" of nested lines that fan out from short-term (faster, more responsive) to long-term (slower, smoother). Semi-transparent colored fills (shaded zones) are added between consecutive SMAs, with customizable toggles and transparency levels, creating layered visual bands that highlight the spaces between different trend timescales.
Use Cases
Multi-Timeframe Trend Visualization: The power-of-2 nesting approximates higher timeframe trends on lower timeframes without switching charts. Shorter SMAs react quickly to price changes, while longer ones show major trends, helping identify overall market structure at a glance.
Support/Resistance Identification: Price interacting with the SMA lines or shaded zones can act as dynamic support/resistance. Crossovers between nested SMAs signal potential momentum shifts.
Trend Strength and Alignment: When SMAs are widely spaced and aligned (e.g., all sloping up), it indicates strong trends. Converging or crossing SMAs suggest consolidation or reversals. The shaded zones add depth, making expansions/contractions in volatility or trend power visually obvious.
Ribbon-Style Trading: Similar to moving average ribbons, traders can look for price pulling back to inner zones for entries in the direction of the broader "wave," or use zone breaks for signals.
Customization for Different Assets/Timeframes: Adjust the base length (e.g., smaller for crypto volatility, larger for stocks) and toggle shades to reduce clutter.
This creates a visually rich, rainbow-like overlay that's particularly useful for trend-following strategies on any chart.
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.
Advanced Footprint Analysis1. ABSORPTION = BEST ENTRY SIGNALS
When BTC hits support and shows bullish absorption:
You know big money is buying
Price won't fall further (supply absorbed)
Risk/reward is optimal (tight stop below absorption)
Win rate on these setups is 70-80%
2. EXHAUSTION = REVERSAL TIMING
Catches exact moment selling/buying pressure is exhausted
No more guessing "is the dip over?"
Volume confirms the reversal
3. IMBALANCES = CONTINUATION TRADES
Stacked imbalances show trend strength
Enter pullbacks in strong trends
Avoid counter-trend trades when imbalance is strong
4. DELTA DIVERGENCE = EARLY WARNING
Cumulative delta rising but price flat = accumulation (buy setup)
Cumulative delta falling but price rising = distribution (sell setup)
This divergence appears BEFORE price moves
5. FILTERS OUT NOISE
Crypto has tons of fake volume and wash trading
By requiring volume to be significantly above average (2x, 3x), you ignore the noise
Only trade when institutions are active
6. WORKS ON ALL CRYPTO PAIRS
BTC, ETH, SOL - same patterns
Especially powerful on perpetual futures (more volume data)
PRACTICAL 5M CRYPTO ALGO STRATEGY:
LONG ENTRY:
Wait for bullish absorption OR bullish exhaustion
Confirm with positive stacked imbalances (3 bars)
Enter when price breaks above absorption high
Stop below absorption low
Target: 2-3x risk or next resistance
SHORT ENTRY:
Wait for bearish absorption OR bearish exhaustion
Confirm with negative stacked imbalances
Enter when price breaks below absorption low
Stop above absorption high
Target: 2-3x risk or next support
FILTER:
Only trade in direction of cumulative delta trend
Avoid when volume is below average (no institutional activity)






















