BUY LOW, BUY MORE, SELL HIGH -BUFFET  STRATEGY LITE__________________________________________________________________________
 Buy Low, Buy More, Sell High With Buffett Meter (LITE – JTMarketAI) 
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Category: Quantitative Momentum & Liquidity Flow
Author: JTMarketAI
Architecture: Non-Repainting
This strategy accumulates into validated pullbacks during fear cycles, scales intelligently as price declines into liquidity support, and exits when momentum weakens after meaningful run-ups. It uses synthetic higher-timeframe OHLC data (non-repainting), liquidity imbalance confirmation, adaptive KAMA trend logic, RSI validation, and a live Buffett macro valuation gauge.
This is a patient, conviction-based accumulation engine designed for equities. 
It is not a scalp bot.
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 Core Features 
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Non-repainting (confirmed bars only)
Synthetic HTF OHLC (no lookahead)
Dynamic trailing exit preserves ~80–87% of peak profit
Bull vs Bear liquidity dominance and flow imbalance
Rolling lowest-low tracking (LLL)
NY-session alignment (default)
Buffett Macro Meter integration
Technical Highlights
Flow-confidence derived from volume-order pressure
Adaptive KAMA smoothing for lower-lag confirmation
Daily > Weekly > Monthly synthetic aggregation
LLL progression display for trend exhaustion
Fully profiler-optimized
Supports averaging down when pyramiding enabled
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Why It Does Not Repaint
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All state updates occur only on confirmed bars
Synthetic HTFs built without lookahead
Persistent arrays freeze historical values
Trailing highs updated only after confirmation
No forward-reference to future bars
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Lite Edition Notes
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Manual trading focused
Buffett Meter enabled
Up to 20 trades per session
Visual dashboard included
No alerts, automation, or webhooks (PRO unlocks IBKR + TradersPost)
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Limitations
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Best on intraday equities (1m–4h)
Designed for US stocks only
High-resource if full visuals enabled
Avoid penny stocks and extremely low-volume tickers
Does not guard against after-hours gaps or major news moves
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Warnings
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Contrarian scaling requires discipline and patience
Expect longer-duration trades, not rapid scalps
Use on quality tickers unlikely to permanently collapse
Confirm price behavior outside cash session
Test manually before automating anything
Not suitable for every market environment or asset
Notes on Philosophy
This strategy attempts to accumulate when markets overshoot lower, and distribute after recovery momentum fades. It reflects a patient, value-driven approach built on the principle of buying fear and reducing exposure into strength.
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 Disclaimer 
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For research and educational use only. Not financial advice. Past performance does not guarantee future results. Test thoroughly and use appropriate risk management.
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 Hashtags 
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#buffett #quantstrategy #valuemomentum #accumulation #contrarian #nonrepaint #equitystrategy #swingtrading #liquidityanalysis #synthetichtf #tradingviewstrategy
Analisi onde
BUY LOW, BUY MORE, SELL HIGH - MARKET FLOW STRATEGY LITE
TV Description - Buffett Meter Lite
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Buy Low, Buy More, Sell High With Buffett Meter (Lite v1283 – JTM)
Category: Quantitative Momentum & Liquidity Flow
Author: JTM
Architecture: Non-Repainting
This strategy accumulates into validated pullbacks during fear cycles, scales intelligently as price declines into liquidity support, and exits when momentum weakens after meaningful run-ups. It uses synthetic higher-timeframe OHLC data (non-repainting), liquidity imbalance confirmation, adaptive KAMA trend logic, RSI validation, and a live Buffett macro valuation gauge.
This is a patient, conviction-based accumulation engine designed for equities. 
It is not a scalp bot.
Core Features
Non-repainting (confirmed bars only)
Synthetic HTF OHLC (no lookahead)
Dynamic trailing exit preserves ~80–87% of peak profit
Bull vs Bear liquidity dominance and flow imbalance
Rolling lowest-low tracking (LLL)
NY-session alignment (default)
Buffett Macro Meter integration
Technical Highlights
Flow-confidence derived from volume-order pressure
Adaptive KAMA smoothing for lower-lag confirmation
Daily > Weekly > Monthly synthetic aggregation
LLL progression display for trend exhaustion
Fully profiler-optimized
Supports averaging down when pyramiding enabled
Why It Does Not Repaint
All state updates occur only on confirmed bars
Synthetic HTFs built without lookahead
Persistent arrays freeze historical values
Trailing highs updated only after confirmation
No forward-reference to future bars
Lite Edition Notes
Manual trading focused
Buffett Meter enabled
Limit of 20 trades per session
Buffet Meter dashboard included
No alerts, automation, or webhooks (PRO unlocks IBKR + TradersPost)
Limitations
Best on intraday equities (1m–4h)
Designed for US stocks only
High-resource if full visuals enabled
Avoid penny stocks and extremely low-volume tickers
Does not guard against after-hours gaps or major news moves
Warnings
Contrarian scaling requires discipline and patience
Expect longer-duration trades, not rapid scalps
Use on quality tickers unlikely to permanently collapse
Confirm price behavior outside cash session
Test manually before automating anything
Not suitable for every market environment or asset
Notes on Philosophy
This strategy attempts to accumulate when markets overshoot lower, and distribute after recovery momentum fades. It reflects a patient, value-driven approach built on the principle of buying fear and reducing exposure into strength.
This is edge-based, not “trade every wiggle” logic
“Be fearful when others are greedy, and greedy when others are fearful.” — Buffett
“The stock market transfers money from the impatient to the patient.” — Buffett
Disclaimer
For research and educational use only. Not financial advice. Past performance does not guarantee future results. Test thoroughly and use appropriate risk management.
Hashtags
#buffett #quantstrategy #valuemomentum #accumulation #contrarian #nonrepaint #equitystrategy #swingtrading #liquidityanalysis #synthetichtf #tradingviewstrategy
Liquidity Sweeps [Raja Saien]Liquidity Sweeps - Smart Money Concepts Indicator
Automatically detects institutional liquidity grabs at swing highs/lows through wick analysis and outbreak/retest patterns.
FEATURES:
- Three detection modes: Wicks only, Outbreaks & Retest, or Combined
- Visual sweep zone highlighting
- Real-time alerts
- Customizable colors and extension
- Works on all markets and timeframes
Helps identify potential reversal points where smart money clears liquidity before price moves in the intended direction.
Perfect for traders looking to follow institutional order flow and improve entry timing.
Jim Sloman's Adam Theory's Second Reflection LineIt's a second reflection of past data.
Based on the idea found on Welles Wilder's book 'The Adam Theory of Markets'.
In that book Jim Sloman explains his idea of second reflection of price activity. 
Instead of every bar, I just plotted line. I suggest to use a RL (Regression Line Curve) to smooth the source of the Adam Line so that the reflection is beautiful.
RSI with SMA + 70/60/50/40/30 LevelsIndicator Name:
RSI with SMA + 70/60/50/40/30 Levels
🧩 Concept Overview:
यह indicator दो popular tools को combine करता है:
RSI (Relative Strength Index) – momentum indicator जो market ke overbought aur oversold zones ko identify karta hai.
SMA (Simple Moving Average) – trend smoother jo RSI ke movement ko average karke lagging confirmation deta hai.
इन दोनों के साथ 70, 60, 50, 40, और 30 की multiple reference lines draw की जाती हैं, ताकि trader को RSI ke swings aur reversals easily samajh aaye.
⚙️ Indicator Components:
RSI Line:
Default Period: 14 (customize kar sakte ho).
Show karta hai price momentum – agar RSI 70 ke upar jaata hai to market overbought zone me hota hai; agar 30 ke niche jaata hai to oversold zone me.
SMA on RSI:
RSI ka smooth version (usually 9-period SMA).
Trend confirmation ke liye – jab RSI line SMA ke upar cross karti hai to bullish signal, aur neeche cross kare to bearish signal.
Horizontal Levels:
70: Overbought zone (potential sell area).
60: Strong bullish momentum line (trend confirmation).
50: Neutral / midline (trend direction flip area).
40: Weak bearish zone (trend losing strength).
30: Oversold zone (potential buy area).
💡 How to Use:
Trend Identification:
RSI > 60 aur SMA ke upar → Bullish trend.
RSI < 40 aur SMA ke neeche → Bearish trend.
Reversal Spotting:
RSI 70 ke upar jaake wapas niche aaye → Sell signal.
RSI 30 ke neeche jaake wapas upar aaye → Buy signal.
Confirmation Using SMA:
RSI cross SMA from below → Confirmed bullish reversal.
RSI cross SMA from above → Confirmed bearish reversal.
Weis Wave Volume MTF 🎯 Indicator Name
Weis Wave Volume (Multi‑Timeframe) — adapted from the original “Weis Wave Volume by LazyBear.”
This version adds multi‑timeframe (MTF) readings, configurable colors, font size, and screen position for clear dashboard‑style display.
🧠 Concept Background — What is Weis Wave Volume (WWV)?
The Weis Wave Volume indicator originates from Wyckoff and David Weis’ techniques.
Its purpose is to link price movement “waves” with the amount of traded volume to reveal how strong or weak each wave is.
Instead of showing bars one by one, WWV accumulates the total volume while price keeps moving in the same direction.
When price direction changes (up → down or down → up), it:
Finishes the previous wave volume total.
Starts a new wave and begins accumulating again.
Those wave volumes help traders see:
Effort vs Result: Big volume with small price move ⇒ absorption; low volume with big move ⇒ weak participation.
Trend confirmation or exhaustion: High volume waves in trend direction strengthen it, while low‑volume waves hint exhaustion.
⚙️ How this Script Works
Trend & Wave Detection
Compares close with the previous bar to determine up or down movement (mov).
Detects trend reversals (when mov direction changes).
Builds “waves,” each representing a continuous run of bars in one direction.
Volume Accumulation
While price keeps the same direction, the script adds each bar’s volume to the running total (vol).
When direction flips, it resets that total and starts a new wave.
Multi‑Timeframe Computation
Calculates these wave volumes on three timeframes at once, chosen dynamically:
Active Chart Timeframe	Displays WWV for:
1 min	 1 min  
5 min	 5 min  
15 min	 15 min  
Any other	 Chart TF  
It uses request.security() to pull each timeframe’s latest WWV value and current wave direction.
Visual Output
Instead of plotting histogram bars, it shows a table with three numeric values:
WWV (1): 25.3 M | (15): 312 M | (240): 2.46 B
Each value is color‑coded:
user‑selected Uptrend Color when price wave = up
user‑selected Downtrend Color when wave = down
You can position this small table in any corner/center (top / bottom × left / center / right).
Font size is user‑adjustable (Tiny → Huge).
📈 How Traders Use It
Quickly gauge buying vs selling effort across multiple horizons.
Compare short‑term wave volume to higher‑timeframe waves to spot:
Alignment → all up and big volumes = strong trend
Divergence → small or opposite‑colored higher‑TF wave = potential reversal or pause
Combine with Wyckoff, VSA, or standard trend analysis to judge if a breakout or pullback has real participation.
🧩 Key Features of This Version
Feature	Description
Multi‑Timeframe Panel	Displays WWV values for 3 selected TFs at once
Dynamic TF Mapping	Auto‑adjusts which TFs to use based on chart
Up/Down Color Coding	Customizable colors for wave direction
Adjustable Font and Placement	Set font size (Tiny→Huge) and screen corner/center
No Histograms	Keeps chart clean; acts as a compact WWV dashboard
Open=Low Multi-Signal EnhancedPower your trades with all new Open = Low with tolerance added in the price. This script will give Open = Low and also if slight deviation in the Open = Low with rising volume and rising momentum in the price.
Swing High/Low (Adaptive)Swing High/Low (Adaptive) 
 Overview 
The Indicator is a pivot point detection tool that identifies swing highs and lows with invalidation tracking. The key differentiator of this indicator is its  adaptive invalidation system . Most pivot indicators simply mark every detected pivot without considering whether subsequent price action has made earlier pivots less relevant.
 How It Works 
The indicator uses Pine Script's native  ta.pivotlow()  and  ta.pivothigh()  functions combined with custom logic to detect swing points. The adaptive algorithm evaluates each potential pivot against the following criteria:
 For Low Pivots: 
 
  Confirms a new low pivot when it's the next expected pivot type in the swing sequence
  If consecutive lows occur, only accepts a new low if it's lower than the previous low
  Marks the previous low as invalidated when a stronger low is detected
 
 For High Pivots: 
 
  Confirms a new high pivot when it's the next expected pivot type in the swing sequence
  If consecutive highs occur, only accepts a new high if it's higher than the previous high
  Marks the previous high as invalidated when a stronger high is detected
 
This approach ensures that the indicator maintains clean swing structure and automatically adjusts when price action creates stronger pivots, providing a more realistic view of support and resistance levels.
 Settings 
 Pivot Settings: 
 
   Left Bars : Number of bars to the left required for pivot confirmation (default: 5)
   Right Bars : Number of bars to the right required for pivot confirmation (default: 5)
 
 Pivot Display Settings: 
 
  Toggle visibility for low and high pivots independently
  Customizable colors for valid pivot markers
  Low pivots marked with upward triangle (▲)
  High pivots marked with downward triangle (▼)
 
 Invalid Pivot Settings: 
 
  Optional display of invalidated pivots
  Separate color customization for invalid low and high pivots
  Helps visualize where market structure expectations changed
 
 ZigZag Settings: 
 
  Toggle ZigZag line display on/off
  Separate colors for upward and downward price swings
  Adjustable line width
 
 Use Cases 
 1. Market Structure Analysis 
Identify key swing points to understand the current market structure and trend direction. The adaptive invalidation feature ensures you're always looking at the most relevant pivots.
 2. Support and Resistance Identification 
Use confirmed swing highs and lows as potential support and resistance levels for entry and exit planning.
 3. Trend Confirmation 
The ZigZag visualization helps confirm trends by showing the sequence of higher highs and higher lows (uptrend) or lower highs and lower lows (downtrend).
 Disclaimer 
This indicator is designed as a technical analysis tool and should be used in conjunction with other forms of analysis and proper risk management. Past performance does not guarantee future results, and traders should thoroughly test any strategy before implementing it with real capital.
ten2 Cipher v.1Created and built by ten2crypto
This is not just another "Market Cipher" clone. This is my personal, ground-up build of a comprehensive momentum and divergence toolkit, designed to provide a deeper, more nuanced view of the market. The ten2 Cipher Divergence Engine combines the best aspects of classic momentum oscillators with a powerful, multi-layered divergence system.
This indicator was built for my own trading and is now being shared with the community.
Wolfe Waves [BigBeluga]🔵 OVERVIEW 
The Wolfe Waves pattern was first introduced by  Bill Wolfe , a trader and analyst in the 1980s–1990s who specialized in market geometry and natural rhythm cycles. Wolfe observed that price often forms symmetrical wave structures that anticipate equilibrium points where supply and demand meet. These formations, called  Wolfe Waves , gained popularity as a reliable pattern for forecasting both short- and long-term reversals.
The  Wolfe Waves   indicator automatically detects these patterns in real time. It tracks sequences of five pivots (points 1 through 5) and connects them with wave lines. Users can select either  Bullish  or  Bearish  Wolfe Waves depending on their trading bias. When the pattern fails, the lines automatically turn red to highlight invalidation.
 🔵 CONCEPTS 
 
   Five-Point Structure  – Wolfe Waves are defined by five pivots (1–5), which together form the basis of the wave pattern.
  
   Bullish Pattern  – Occurs when price compresses downward into point 5, signaling a potential upside reversal.
  
   Bearish Pattern  – Occurs when price extends upward into point 5, forecasting a downside reversal.
  
   Validation & Failure  – The pattern is considered valid once all five pivots form; if price fails to respect the expected breakout, the indicator marks the structure as broken with red lines.
  
 
 🔵 FEATURES 
 
  Automatic detection of  Bullish  and  Bearish  Wolfe Waves.
  Labels each pivot (1–5) on the chart for clarity.
  Draws connecting lines between pivots to visualize the wave structure.
  Projects target/dashed lines (EPA/ETA) based on Wolfe Wave geometry.
  
  Lines automatically  turn red  when the pattern is broken, giving immediate feedback.
  Customizable color scheme for bullish (lime) and bearish (orange) waves.
  Adjustable sensitivity for pivot detection.
 
 🔵 HOW TO USE 
 
  Choose between  Bullish  or  Bearish  mode depending on your analysis.
  Watch for the formation of all five pivots; the indicator labels them clearly.
  Look for potential entries near point 5, with the expectation that price will travel toward the projected EPA line.
  Use invalidation (lines turning red) as a risk management warning to exit failed setups.
  Combine with momentum, volume, or higher-timeframe analysis to increase reliability.
 
 🔵 CONCLUSION 
The  Wolfe Waves   brings the classic Wolfe Wave theory into an automated TradingView tool. Inspired by Bill Wolfe’s original concept of natural market cycles, this indicator detects, labels, and validates Wolfe Waves in real time. With automatic invalidation marking and customizable settings, it offers traders a structured way to harness one of the most well-known geometric reversal patterns.
Scalping m15 indicator RovTradingScalping Indicator Combining UT Bot and Linear Regression Candles.
 
 UT Bot uses ATR Trailing Stop to identify entry points.
 Linear Regression Candles smooth price action and provide trend signals.
 The indicator is suitable for scalping trading on the M15 timeframe.
Composite Momentum System⚙️ Composite Momentum System — RSI + CCI + Momentum + MFI + (DI·ADX) × MACD² (4-Color Smoothed Signal)
This advanced indicator fuses multiple momentum, volume, and trend components into one unified oscillator, dynamically visualized around a zero line. It helps traders identify powerful directional moves, trend reversals, and momentum exhaustion far earlier than traditional MACD or RSI alone.
🧩 Core Formula
Composite = ((RSI + CCI + Momentum + MFI) + (((DI− × −1) + DI+) × ADX)) × (MACD²)
RSI – captures relative strength and short-term momentum
CCI – measures deviation from price mean (volatility & cycles)
Momentum – shows raw velocity of price change
MFI – volume-weighted momentum, adds money flow confirmation
DI / ADX – directional strength and market trend intensity
MACD² – amplifies strong momentum moves and filters weak noise
🌈 Visual Design & Features
Zero-Centered Histogram:
Green = Bullish momentum, Red = Bearish momentum
MACD Signal Line (4 Colors):
🟢 Positive & Rising → strong up momentum
🟡 Positive & Falling → weakening uptrend
🔴 Negative & Falling → strong downtrend
🟠 Negative & Rising → possible bearish fade or reversal
Adjustable Signal Smoothing:
Choose MA type (SMA, EMA, RMA, WMA, VWMA) and custom smoothing length for cleaner visualization.
ATR Normalization:
Optional setting to keep MACD and composite values consistent across instruments.
Centering Options:
RSI and MFI can be centered (−50/+50) to balance oscillation around zero.
🎯 How to Use
Above 0: Bullish composite energy → favor long setups.
Below 0: Bearish composite energy → favor short setups.
Signal line color changes highlight momentum acceleration or slowdown.
Crosses through zero often precede major shifts or breakout moments.
⚡ Best Practice
Use this indicator as a momentum strength filter in confluence with price action or volume patterns.
Combine it with VWAP, higher-timeframe trend, or support/resistance zones for high-probability entries.
(RSI + CCI) × (MACD/ATR)^2⚙️ (RSI + CCI) × (MACD / ATR)² Composite — Normalized, Compressed, Dynamic Colors
This advanced composite oscillator merges three powerful momentum indicators — RSI, CCI, and MACD — into one normalized and volatility-adjusted signal that reacts smoothly across all markets.
By dividing MACD by ATR (Average True Range), the indicator self-scales for different symbols, and an optional tanh-like compression prevents extreme spikes while keeping the movement fluid and responsive.
🧩 Core Formula
(RSI + CCI) × (MACD / ATR)²
(optionally passed through a tanh compression for stability)
RSI and CCI are normalized (RSI ÷ 50, CCI ÷ 100) → roughly −2 to +2 range.
MACD is volatility-adjusted by ATR → scale-independent between assets.
The result is centered around 0 for clear bullish/bearish momentum comparison.
🎨 Visual Features
🟢🔴 Dynamic 4-Color Histogram
Positive + Rising = Strong Teal
Positive + Falling = Light Teal
Negative + Falling = Strong Red
Negative + Rising = Light Red
🟡⚫ 4-Color Smoothing Line
Positive & Rising = Bright Yellow
Positive & Falling = Soft Yellow
Negative & Rising = Grey
Negative & Falling = Dark Grey
Zero-centered layout for intuitive bullish/bearish visualization.
⚙️ Adjustable Parameters
Individual RSI, CCI, and MACD lengths and sources.
ATR length for volatility normalization.
Optional tanh-style compression with adjustable gain (to keep values in ±1 range).
Fully customizable colors and line widths for both bars and smoothing line.
🔔 Alerts
Triggered automatically when the composite crosses above or below zero, signaling potential trend reversals or momentum shifts.
💡 How to Use
Composite > 0 → Bullish momentum ↑
Composite < 0 → Bearish momentum ↓
A brightening line or bar = momentum accelerating.
A fading color = momentum weakening or reversal forming.
Combine with higher-timeframe trend filters (EMA, VWAP, Supertrend) for confirmation.
Continuation Gauge - ES 3m (v1.1)Continuation Gauge - ES 3m (v1.1)
wave trend analysis between bull and bear imbalance trends
CMF, RSI, CCI, MACD, OBV, Fisher, Stoch RSI, ADX (+DI/-DI)Eight normalized indicators are used in conjunction with the CMF, CCI, MACD, and Stoch RSI indicators. You can track buy and sell decisions by tracking swings. The zero line is for reversal tracking at -20, +20, +50, and +80. You can use any of the nine indicators individually or in combination.
Metallic Retracement LevelsThere's something that's always bothered me about how traders use Fibonacci retracements. Everyone treats the golden ratio like it's the only game in town, but mathematically speaking, it's completely arbitrary. The golden ratio is just the first member of an infinite family of metallic means, and there's no particular reason why 1.618 should be special for markets when we have the silver ratio at 2.414, the bronze ratio at 3.303, and literally every other metallic mean extending to infinity. We just picked one and decided it was magical.
The metallic means are a sequence of mathematical constants that generalize the golden ratio. They're defined by the equation x² = kx + 1, where k is any positive integer. When k equals 1, you get the golden ratio. When k equals 2, you get the silver ratio. When k equals 3, you get bronze, and so on forever. Each metallic mean generates its own set of ratios through successive powers, just like how the golden ratio gives you 0.618, 0.382, 0.236 and so forth. The silver ratio produces a completely different set of retracement levels, as does bronze, as does any arbitrary metallic number you want to choose.
This indicator calculates these metallic means using the standard alpha and beta formulas. For any metallic number k, alpha equals (k + sqrt(k² + 4)) / 2, and we generate retracement ratios by raising alpha to various negative powers. The script algorithmically generates these levels instead of hardcoding them, which is how it should have been done from the start. It's genuinely silly that most fib tools just hardcode the ratios when the math to generate them is straightforward. Even worse, traditional fib retracements use 0.5 as a level, which isn't even a fibonacci ratio. It's just thrown in there because it seems like it should be important.
The indicator works by first detecting swing points using the  Sylvain Zig-Zag . The zig-zag identifies significant price swings by combining percentage change with ATR adjustments, filtering out noise and connecting major pivot points. This is what drives the retracement levels. Once a new swing is confirmed, the script calculates the range between the last two pivot points and generates metallic retracement levels from the most recent swing low or high.
You can adjust which metallic number to use (golden, silver, bronze, or any positive integer), control how many power ratios to display above and below the 1.0 level, and set how many complete retracement cycles you want drawn. The levels extend from the swing point and show you where price might react based on whichever metallic mean you've selected. The zig-zag settings let you tune the sensitivity of swing detection through ATR period, ATR multiplier, percentage reversal, and additional absolute or tick-based reversal values.
What this really demonstrates is that retracement analysis is more flexible than most traders realize. There's no mathematical law that says markets must respect the golden ratio over any other metallic mean. They're all valid mathematical constructs with the same kind of recursive properties. By making this tool, I wanted to highlight that using fibonacci retracements involves an arbitrary choice, and maybe that choice should be more deliberate or at least tested against alternatives. You can experiment with different metallic numbers and see which ones seem to work better for your particular market or timeframe, or just use this to understand that the standard fib levels everyone uses aren't as fundamental as they appear.
Friday & Monday HighlighterFriday & Monday Institutional Range Marker — Know Where Big Firms Set the Trap! 
 🧠 Description 
This indicator automatically  highlights Friday and Monday sessions  on your chart — days when  institutional players and algorithmic firms  (like Citadel, Jane Street, or Tower Research) quietly shape the upcoming week’s price structure.
 🔍 Why Friday & Monday matter 
 Friday : Large institutions often  book profits or hedge  into the weekend. Their final-hour moves reveal the next week’s bias.
 Monday : Big players rebuild positions, absorbing liquidity left behind by retail traders.
Together, these two days define the  range traps and breakout zones  that often control price action until midweek.
  > In short, the  Friday–Monday high and low  often act as invisible walls — guiding scalpers, option sellers, and swing traders alike.
 🧩 What this tool does 
✅ Highlights Friday (red) and Monday (green) sessions
✅ Adds optional day labels above bars
✅ Works across all timeframes (best on 15min to 1hr charts)
✅ Helps you visually identify where institutions likely built their positions
 Use it to quickly spot: 
* Range boundaries that trap traders
* Gap zones likely to get filled
* High–low sweeps before reversals
 ⚙️ Recommended Use 
1. Mark  Friday’s high–low  → Watch for liquidity sweeps on Monday.
2. When  Monday holds above Friday’s high , breakout continuation is likely.
3. When  Monday fails below Friday’s low , expect a reversal or trap.
4. Combine this with OI shifts, IV crush, and FII–DII flow data for confirmation.
 ⚠️ Disclaimer 
This indicator is for **educational and analytical purposes only**.
It does **not constitute financial advice** or a trading signal.
Markets are dynamic — always perform your own research before trading or investing.
TrendShield Pro | DinkanWorldSmart Trailing Trend System Powered by EMA + ATR
TrendShield Pro is a powerful trend detection and trailing stop indicator designed for traders who rely on pure price movement and volatility tracking.
It dynamically adapts to market conditions using a combination of EMA (Exponential Moving Average) and ATR (Average True Range) to identify the active trend and place a visual trailing stop line.
🔍 How It Works
TrendShield Pro combines trend direction and volatility to create a self-adjusting trailing system:
EMA (Exponential Moving Average):
Smooths price fluctuations and identifies the overall market bias.
ATR (Average True Range):
Measures volatility to determine how far the trailing stop should follow the trend.
Dynamic Bands:
Two invisible thresholds are formed — up and down — around the EMA using the ATR and your chosen Factor value.
Trailing Logic:
When the EMA is rising, the Trailing Stop (TUp) locks in higher lows.
When the EMA is falling, the Trailing Stop (TDown) locks in lower highs.
The indicator switches trend automatically based on price crossing these trailing levels.
🧭 Visuals & Features
Green Trailing Line (Demand Trend): Indicates an active bullish trend.
Red Trailing Line (Supply Trend): Indicates an active bearish trend.
Arrow Signals:
🟢 Up Arrow → Bullish Trend Reversal
🔴 Down Arrow → Bearish Trend Reversal
Diamond Markers: Show points where the trailing line shifts, marking dynamic volatility changes.
⚙️ Inputs
Input	        Description	
EMA Period	Length of the Exponential Moving Average	
ATR Period	Period used for Average True Range calculation	
Factor	        Multiplier for ATR-based volatility expansion	
Fair Value Gaps by DGTFair Value Gaps 
A refined, multi-timeframe Fair Value Gap (FVG) detection tool that brings institutional imbalance zones to life directly on your chart.
Designed for precision, it visualizes how price delivers into inefficiencies across chart, higher, and lower (intrabar) timeframes — offering a fluid, structural view of liquidity displacement and market flow.
The script continuously tracks unfilled, partially repaired, and fully resolved imbalances, revealing where liquidity inefficiencies concentrate and where price may seek rebalancing.
Overlapping zones naturally expose institutional footprints, potential liquidity targets, and key re-pricing regions within the broader market structure.
 KEY FEATURES 
 ⯌ Multi-Timeframe Detection 
 Detect and display FVGs from the current chart, higher timeframes (HTF), or lower timeframes (LTF)  
 ⯌ Smart Fill Tracking 
 Automatic real-time monitoring of each FVG’s fill progress with live percentage updates  
 ⯌ Custom Fill Logic 
 Choose your preferred definition of when a gap is considered filled: Any Touch
 Midpoint Reached
 Wick Sweep
 Body Beyond  
 ⯌ Dynamic Labels & Tooltips 
 Labels can be toggled on/off. Even when hidden, detailed tooltips remain available by hovering over the FVG midpoint.  
 ⯌ Adaptive Lower-Timeframe Mode 
 When set to “Auto,” the script intelligently selects the optimal lower timeframe based on the chart resolution.  
 DISCLAIMER 
This script is intended for informational and educational purposes only. It does not constitute financial, investment, or trading advice. All trading decisions made based on its output are solely the responsibility of the user.
Overleverage Short Screener Alert Overleverage Short Screener Alert Guide (inspired by a posting "an on-chain trader nicknamed "Calm Order King" has reportedly made over $10 million in porfit this month - mainly by shorting BTC and SOL at precise reversal points", this script tries to guess his work. 
🎯 Purpose of the Script
 The script aims to identify potential **shorting opportunities** in derivatives markets (Perpetual Futures).
 It looks for a setup often associated with a "long squeeze" or "blow-off top" by checking three criteria simultaneously: **High Excitement**, **Liquidity Buildup**, and the start of a **Price Dip**.
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### 🛠️ Customize Inputs (Settings)
Access the indicator's settings window to adjust the following values:
Funding Rate Threshold (%):** Controls the required bar momentum (proxy for excitement). *Adjust between 0.01 and 0.05.*
OI MA Period:** Sets the lookback period for the Open Interest/Volume trend. *Use 7 to 14.*
OI Spike % Above MA:** Defines how far above its trend the Volume/OI must be to signal high liquidity buildup. *Try 20.0 to 50.0.*
Price Drop % From X-Period High:** Sets the minimum percentage drop required from the recent high to confirm the setup. *Use 3.0 to 7.0.*
High Timeframe:** The period used to calculate the "recent high." *Use '7D' (7 Days) or '1D' (1 Day).*
***
 🔔 Reading the Signal and Setting Alerts
Visual Signal (Short\_Alert):** A **red triangle down** will appear at the top of the indicator pane when all three conditions are met. The background will also turn light red.
Signal Confirmation:**
    * The **FR Proxy % (Blue Line)** must be **above** its blue threshold line.
    * The **OI Spike % (Orange Line)** must be **above** its orange threshold line.
    * The **Price Drop % (Fuchsia Line)** must be **below** its fuchsia threshold line.
Setting Alerts:**
    1.  Click the **"Alert"** button (bell icon) on the chart.
    2.  Set the **Condition** to the indicator's name: **"Overleverage Short Screener Alert
    3.  Set the specific condition to: **"Overleverage Short Alert"**.
    4.  The default alert message includes the current percentage values for all three factors for quick review.
Dip-Tepe indikatörüAn indicator that aims to find bottoms and tops. Signals are given at bottoms and tops. It is not recommended for use alone; use it in conjunction with other technical analysis tools.
Market Structure ICT Screener [TradingFinder] BoS ChoCh🔵 Introduction 
Market Structure is the foundation of every Smart Money and ICT based trading model. It describes how price moves through a sequence of highs and lows, forming clear phases of expansion, retracement and reversal. Understanding this structure allows traders to read institutional order flow and align their positions with the true direction of liquidity.
Two of the most critical components in Market Structure are the Break of Structure (BOS) and Change of Character (CHOCH). A BOS represents trend continuation, confirming strength within the current direction. In contrast, CHOCH also known as a Market Structure Shift (MSS) signals the first sign of a trend reversal or liquidity shift where order flow begins to change from bullish to bearish or vice versa.
Because the market is fractal, structure can exist at multiple levels known as Major (External) and Minor (Internal). Major structure defines the overall trend on higher timeframes while minor or internal structure reveals short term swings and early reversals within that larger move. 
  
🔵 How to Use 
Understanding Market Structure starts with identifying how price interacts with previous swing highs and swing lows. Every trend in the market, whether bullish or bearish, is built from a sequence of impulsive and corrective moves. Impulsive legs show strong displacement in the direction of liquidity flow, while corrective legs represent temporary pullbacks as the market rebalances before the next expansion. Recognizing these sequences is essential for reading the story of price and anticipating what may happen next.
A Break of Structure (BOS) occurs when price decisively moves beyond a previous structural point by breaking above the last high in an uptrend or falling below the last low in a downtrend. This event confirms that the current trend remains intact and that liquidity has been successfully taken from one side of the market. A BOS acts as confirmation of continuation and reflects strength within the existing directional bias.
A Change of Character (CHOCH) appears when price violates structure in the opposite direction of the prevailing trend. This is the first signal that market sentiment and order flow may be shifting. For example, during a downtrend if price breaks above a previous high, it indicates that sellers are losing control and a potential bullish reversal may be developing. In an uptrend, when price drops below a recent low, it suggests a possible bearish transition.
  
Because the market is fractal, structure exists across multiple layers. Major structure reflects the dominant movement visible on higher timeframes and defines the broader directional bias. Minor or internal structure represents smaller swings within that move and helps identify early transitions before they appear on the higher timeframe. When internal and external structures align, they offer a high probability signal for trend continuation or reversal.
By observing BOS and CHOCH across both internal and external structures, traders can clearly visualize when the market is expanding, contracting or preparing to shift direction. This structured understanding of price movement forms the foundation for precise trend analysis and high quality decision making in any Smart Money or ICT based trading approach.
  
🔵 Settings 
🟣 Display Settings 
 Table on Chart : Allows users to choose the position of the signal dashboard either directly on the chart or below it, depending on their layout preference.
  
  
 Number of Symbols : Enables users to control how many symbols are displayed in the screener table, from 10 to 20, adjustable in increments of 2 symbols for flexible screening depth.
 Table Mode : This setting offers two layout styles for the signal table :
 
 Basic : Mode displays symbols in a single column, using more vertical space.
 Extended : Mode arranges symbols in pairs side-by-side, optimizing screen space with a more compact view.
 
  
  
 Table Size : Lets you adjust the table’s visual size with options such as: auto, tiny, small, normal, large, huge.
 Table Position : Sets the screen location of the table. Choose from 9 possible positions, combining vertical (top, middle, bottom) and horizontal (left, center, right) alignments.
🟣 Symbol Settings 
 Each of the 20 symbol slots comes with a full set of customizable parameters :
 
 Symbol : Define or select the asset (e.g., XAUUSD, BTCUSD, EURUSD, etc.).
 Timeframe : Set your desired timeframe for each symbol (e.g., 15, 60, 240, 1D).
 Pivot Period : Set the length used to detect swing highs and lows. Shorter values increase sensitivity, longer ones focus on major structures.
 
🔵 Conclusion 
Mastering Market Structure and understanding the relationship between BOS and CHOCH allows traders to see the market with greater clarity and confidence. These two elements reveal how liquidity moves through different phases of expansion and retracement and how institutional order flow shifts between accumulation and distribution.
By analyzing both internal and external structures, traders can align short term and long term perspectives and anticipate where price is most likely to react. The ability to read these structural shifts helps identify continuation points, reversals and areas where liquidity is engineered or collected.
Incorporating Market Structure into a consistent trading process transforms the way a trader views the chart. Instead of reacting to random movements, each swing, break and shift becomes part of a logical framework that reflects the true behavior of the market. Understanding BOS and CHOCH is not just a concept but a complete language of price that guides every professional decision in Smart Money and ICT based trading.
Market Structure Report Library [TradingFinder]🔵 Introduction 
Market Structure is one of the most fundamental concepts in Price Action and Smart Money theory. In simple terms, it represents how price moves between highs and lows and reveals which phase of the market cycle we are currently in uptrend, downtrend, or transition.
 Each structure in the market is formed by a combination of Breaks of Structure (BoS) and Changes of Character (CHoCH) :
 
 BoS occurs when the market breaks a previous high or low, confirming the continuation of the current trend.
 CHoCH occurs when price breaks in the opposite direction for the first time, signaling a potential trend reversal.
 
  
 Since price movement is inherently fractal, market structure can be analyzed on two distinct levels :
 
 Major / External Structure: represents the dominant macro trend.
 Minor / Internal Structure: represents corrective or smaller-scale movements within the larger trend.
 
🔵 Library Purpose 
The “Market Structure Report Library” is designed to automatically detect the current market structure type in real time.
Without drawing or displaying any visuals, it analyzes raw price data and returns a series of logical and textual outputs (Return Values) that describe the current structural state of the market.
 It provides the following information :
 Trend Type :
 
 External Trend (Major): Up Trend, Down Trend, No Trend
 Internal Trend (Minor): Up Trend, Down Trend, No Trend
 
 Structure Type :
 
 BoS : Confirms trend continuation
 CHoCH : Indicates a potential trend reversal
 
 Consecutive BoS Counter : Measures trend strength on both Major and Minor levels.
 Candle Type : Returns the current candle’s condition(Bullish, Bearish, Doji)
This library is specifically designed for use in Smart Money–based screeners, indicators, and algorithmic strategies.
It can analyze multiple symbols and timeframes simultaneously and return the exact structure type (BoS or CHoCH) and trend direction for each.
🔵 Function Outputs 
The function MS() processes the price data and returns seven key outputs,
each representing a distinct structural state of the market. These values can be used in indicators, strategies, or multi-symbol screeners.
🟣 ExternalTrend 
 Type : string
 Description : Represents the direction of the Major (External) market structure.
 Possible values :
 
 Up Trend
 Down Trend
 No Trend
 
This is determined based on the behavior of Major Pivots (swing highs/lows).
🟣 InternalTrend 
 Type : string
 Description : Represents the direction of the Minor (Internal) market structure.
 Possible values :
 
 Up Trend
 Down Trend
 No Trend
 
🟣 M_State 
 Type : string
 Description : Specifies the type of the latest Major Structure event.
 Possible values :
 
 BoS
 CHoCH
 
🟣 m_State 
 Type : string
 Description : Specifies the type of the latest Minor Structure event.
 Possible values :
 
 BoS
 CHoCH
 
🟣 MBoS_Counter 
 Type : integer
 Description : Counts the number of consecutive structural breaks (BoS) in the Major structure.
 Useful for evaluating trend strength :
 
 Increasing count: indicates trend continuation.
 Reset to zero: typically occurs after a CHoCH.
 
🟣 mBoS_Counter 
 Type : integer
 Description : Counts the number of consecutive structural breaks in the Minor structure.
Helps analyze the micro structure of the market on lower timeframes.
 Higher value : strong internal trend.
 Reset : indicates a minor pullback or reversal.
🟣 Candle_Type 
 Type : string
 Description : Represents the type of the current candle.
 Possible values :
 
 Bullish
 Bearish
 Doji
 
 import TFlab/Market_Structure_Report_Library_TradingFinder/1 as MSS
PP = input.int      (5       , 'Market Structure Pivot Period'                     , group = 'Symbol 1' )
        = MSS.MS(PP)






















