The Ultimate Smart Money AQP + Reversal + Risk-Reward DashboardKEY FEATURES
Add. Analyze. Execute.
The Smart Money Way.
#AQUNAT_PRICE
#AQUNAT_PRICE
#AQUNAT_PRICE
FeatureBenefit15 Buy + 13 Sell Conditions Institutional-grade signal engine Next Target Prediction Auto-calculates closest pivot level Risk-Reward Ratio (Long/Short)Filters trades ≥ 2.0:1Wick Reversal Detector Bull/Bear Wick, Extreme, Outside, Doji Hot Zone Detection DPZ (Red), GPZ (Green), MTZ Valuation Engine Over/Undervalued vs VPOC, TC, BC Multi-Timeframe Summary Daily, Weekly, Monthly bias Buy/Sell Quant Layers Shows support/resistance clusters Probability Table PP-Tested vs PP-Untested rules Novice Mode Simplified "Yes/No" signals Customizable Levels Show All, Key, or None Alerts Built-InL3/H3, R1/S1, VPOC breaks
USE CASES & TRADING STRATEGIES
1. Scalping with Wick + Hot Zone (5M–15M)
Rule: Trade only when "Wick Reversal = Yes" + Hot Zone = GPZ
text Example:
Wick: Yes - Bull Wick
Hot Zone: GPZ: VPOC+PP
Buy Count: 12/15
→ Enter long at pullback to VPOC
Target: Next R1
Stop: Below L3
RR: 2.8:1
2. Risk-Reward Filter Trading (15M–1H)
Rule: Enter only if RR ≥ 2.0
text Long RR: 2.5 (Green)
Short RR: 1.4 (Gray)
→ Only take longs
Entry: Current Open
Target: Avg of Buy Targets
Stop: Avg of Buy Layers
3. Reversal Trading at L3/H3
Rule: Reversal Signal + Wick + Camarilla = Lower/Higher
text Price < L3
Reversal Signal: Bull Reversal
Camarilla: Lower Value
Wick: Yes - Bull Wick
→ High-Probability Bottom Reversal
4. Trend Continuation (PP-Untested)
Rule: Day Expectation = Bullish Beyond R1 + No Reversal
text Price > R1
Expectation: Extended Move
No Wick Reversal
→ Trail stop below PP
Target: R2 or H3
5. Multi-Timeframe Confluence
Rule: Enter when ≥2 timeframes agree
TFBuySellBiasDaily114BullishWeekly103BullishSummaryStrong Buy
→ Wait for pullback to Buy Layer (S1 or L3)
HOW TO READ THE DASHBOARD
Column Meaning Timeframe D, W, M Open Price Session open PP, R1, S1, etc . Key levels (highlighted if in Hot Zone) Buy X/15 (≥10 = Strong)Sell X/13 (≥7 = Strong)Wick Reversal "Yes - Bull Wick" = Enter Next Target Closest pivot level Long/Short RR Green = Valid trade Reversal Signal Bull/Bear Reversal at extremes Valuation Over/Undervalued Hot Zone DPZ = Sell, GPZ = Buy Camarilla Higher/Lower Value Day Expectation Momentum direction
PROBABILITY TABLE (PP-Tested vs PP-Untested)
LevelTouch%Close%PP-TestedPP-UntestedPP63%N/A All rules Trending rulesL173.3%46.6%Fade reversions73.8% close >L1L2↓50%↓70%*Take partials61.9% touchedL3↓25%90.9%*Avoid extremes72.4% touchedL4+Rare80%*High risk77.8% touched
*PP-Tested = Price opened inside CPR
*PP-Untested = Price opened outside CPR
PRO TIPS
Best on 5M–1H charts
Use with volume profile for VPOC confirmation
Set alerts on L3/H3 crossover or RR ≥ 2.5
Novice Mode for beginners (Yes/No only)
Hide levels to declutter: Show Levels = Key
Combine with A Quant Price Institutional Matrix for macro view
IDEAL MARKETS
Forex (EURUSD, GBPUSD, USDJPY)
Indices (NAS100, SPX500)
Crypto (BTC, ETH – set 6–8 decimals)
Futures (ES, NQ, CL)
SETUP GUIDE
Open TradingView
Go to Indicators
Search: AQuantPrice Dashboard
Click Add to Chart
Customize:
Min Buy = 10, Min Sell = 7
Min RR = 2.0
Show Levels = Key
Novice Mode = On (for beginners)
AUTHOR
© @AQuant_Price
Professional Pine Script Developer | 12+ Years in Algo Trading
Trusted by 15,000+ traders worldwide.
Not financial advice. Trade at your own risk.
FINAL TAGLINE
"One Dashboard. All Decisions."
A Quant Price Dashboard – Small Timeframes ALL IN ONE
Your Edge. Live.
Statistics
Aquantprice: Institutional Structure MatrixSETUP GUIDE
Open TradingView
Go to Indicators
Search: Aquantprice: Institutional Structure Matrix
Click Add to Chart
Customize:
Min Buy = 10, Min Sell = 7
Show only PP, R1, S1, TC, BC
Set Decimals = 5 (Forex) or 8 (Crypto)
USE CASES & TRADING STRATEGIES
1. CPR Confluence Trading (Most Popular)
Rule: Enter when ≥3 timeframes show Buy ≥10/15 or Sell ≥7/13
text Example:
Daily: 12/15 Buy
Weekly: 11/15 Buy
Monthly: 10/15 Buy
→ **STRONG LONG BIAS**
Enter on pullback to nearest **S1 or L3**
2. Hot Zone Scalping (Forex & Indices)
Rule: Trade only when price is in Hot Zone (closest 2 levels)
text Hot: S1-PP → Expect bounce or breakout
Action:
- Buy at S1 if Buy Count ↑
- Sell at PP if Sell Count ↑
3. Institutional Reversal Setup
Rule: Price at H3/L3 + Reversal Condition
text Scenario:
Price touches **Monthly L3**
L3 in **Hot Zone**
Buy Count = 13/15
→ **High-Probability Reversal Long**
4. CPR Width Filter (Avoid Choppy Markets)
Rule: Trade only if CPR Label = "Strong Trend"
text CPR Size < 0.25 → Trending
CPR Size > 0.75 → Sideways (Avoid)
5. Multi-Timeframe Bias Dashboard
Use "Buy" and "Sell" columns as a sentiment meter
TimeframeBuySellBiasDaily123BullishWeekly89BearishMonthly112Bullish
→ Wait for alignment before entering
HOW TO READ THE TABLE
Column Meaning Time frame D, W, M, 3M, 6M, 12MOpen Price Current session open PP, TC, BC, etc. Pivot levels (color-coded if in Hot Zone) Buy X/15 conditions met (≥10 = Strong Buy)Sell X/13 conditions met (≥7 = Strong Sell)CPR Size Histogram + Label (Trend vs Range)Zone Hot: PP-S1, Med: S2-L3, etc. + PP Distance
PRO TIPS
Best on 5M–1H charts for entries
Use with volume or order flow for confirmation
Set alerts on Buy ≥12/15 or Sell ≥10/13
Hide unused levels to reduce clutter
Combine with AQuantPrice Dashboard (Small TF) for full system
IDEAL MARKETS
Forex (EURUSD, GBPUSD, USDJPY)
Indices (NAS100, SPX500, DAX)
Crypto (BTC, ETH – use 6–8 decimals)
Commodities (Gold, Oil)
🚀 **NEW INDICATOR ALERT**
**Aquantprice: Institutional Structure Matrix**
The **ALL-IN-ONE CPR Dashboard** used by smart money traders.
✅ **6 Timeframes in 1 Table** (Daily → Yearly)
✅ **15 Buy + 13 Sell Conditions** (Institutional Logic)
✅ **Hot Zones, CPR Width, PP Distance**
✅ **Fully Customizable – Show/Hide Any Level**
✅ **Real-Time Zone Detection** (Hot, Med, Low)
✅ **Precision up to 8 Decimals**
**No more switching charts. No more confusion.**
See **where institutions are positioned** — instantly.
👉 **Add to Chart Now**: Search **"Aquantprice: Institutional Structure Matrix"**
🔥 **Free Access | Pro-Level Insights**
*By AQuant – Trusted by 10,000+ Traders*
#CPR #PivotTrading #SmartMoney #TradingView
FINAL TAGLINE
"See What Institutions See — Before They Move."
Aquantprice: Institutional Structure Matrix
Your Edge. One Dashboard.
[turpsy]ICT HTF&KZ-Mt&ADR[Combined]This script is useful in helping with plotting higher timeframe candles, identifying the killzones, as well as plotting the ADR that helps to know how far a candle has moved relative to stated time.
This script is a combination of some free scripts out there.
Both free and open source scripts from @ fadizeidan & @ tradeforopp resulted in this. I did the combination of the scripts, debugging, applying it to suit my purpose.
Special thanks to them.
Not for sale.
Performance (Improved + Position & Size) This indicator displays a performance heat-table on the chart, showing percentage returns for multiple timeframes such as 1W, 1M, 3M, 6M, 9M, 1Y and To-Date periods (MTD / QTD / YTD style).
The goal is to quickly visualize how the current symbol has performed across different timeframes in a compact and readable format.
Put Option Profits inspired by Travis Wilkerson; SPX BacktesterPut Option Profits — Travis Wilkerson inspired. This tester evaluates a simple monthly SPX at-the-money credit-spread timing idea: enter on a fixed calendar rule (e.g., 1st Friday or 8th day with business-day shifting) at Open or Close, then exit exactly N calendar days later (first tradable day >= target, at Close). A trade is marked WIN if price at exit is above the entry price (1:1 risk proxy).
The book suggests forward testing 60-day and 180-day expirations to prove the concept. This tool lets you backtest both (and more) to see what actually works best. In the book, profits are taken when the spread reaches ~80% of max credit; losers are left to expire and cash-settle. This backtester does not model early profit-taking—every trade is held to the configured hold period and evaluated on price vs entry at the exit close. Think of it as a pure “set it and forget it” stress test. In live trading, you can still follow Travis’s 80% take-profit rule; TradingView just doesn’t simulate that here. Happy trading!
Features:
Schedule: Day-of-Month (with Prev/Next business-day shift, optional “stay in month”) or Nth Weekday (e.g., 1st Friday).
Entry timing: Open or Close.
Exit: N calendar days later at Close (holiday/weekend aware).
Filters: Optional EMA-200 “risk-on” filter.
Scope: Date range limiter.
Visuals: Entry/exit bubbles (paired colors) or simple win/loss dots.
Table: Overall Win% and N (within range).
Alerts: Entry alert (static condition + dynamic alert() message).
How to use:
[* ]Choose Start Mode (NthWeekday or DayOfMonth) and parameters (e.g., 1st Friday or DOM=8, PrevBizDay).
Pick Entry Timing (Open or Close).
Set Days In Trade (e.g., 150).
(Optional) Enable EMA filter and set Date Range.
Turn Bubbles on/off and/or Dots on/off.
Create alert:
Simple ping: Condition = this indicator -> Monthly Entry Signal -> “Once per bar” (Open) or “Once per bar close” (Close).
Rich message: Condition = this indicator -> Any alert() function call.
Notes:
Keep DOM shift in same month: when a DOM falls on a weekend/holiday, PrevBizDay/NextBizDay shift will stay inside the month if enabled; otherwise it can spill into the prior/next month. (Ignored for NthWeekday.)
Credits: Concept sparked by “Put Option Profits – How to turn ten minutes of free time into consistent cash flow each month” by Travis Wilkerson; this script is a neutral research tool (not financial advice).
Slick Strategy Weekly PCS TesterInspired by the book “The Slick Strategy: A Unique Profitable Options Trading Method.” This indicator tests weekly SPX put-credit spreads set below Monday’s open and judged at Friday’s close.
WHAT IT DOES
• Sets weekly PCS level = Monday (or first trading day) OPEN − your offset; win/loss checked at Friday close.
• Optional core filter at entry: Price ≥ 200-SMA AND 10-SMA ≥ 20-SMA; pause if Price < both 10 & 20 while > 200.
• Reference modes: Strict = Mon OPEN vs Fri SMAs (no repaint); Mid = Mon OPEN vs Mon SMAs
KEY INPUTS
• Date range (Start/End) to limit backtest window.
• Offset mode/value (Points or Percent).
• Entry day (Monday only or first trading day).
• Core filters (On/Off) and Strict/Mid reference.
• SMA settings (source; 10/20/200 lengths).
• Table settings (position, size, padding, border).
VISUALS
• Active week line: Orange = trade taken; Gray = skipped.
• History: Green = win; Red = loss; Purple = skipped.
• Optional week bands highlight active/win/loss/skipped weeks (adjustable opacity).
TABLE
• Shows Date range, Trades, Wins, Losses, Win rate, and Active level (this week’s PCS price).
NOTES
• PCS level freezes at week open and persists through the week.
MarketCap + BVPSMarketCap + BVPS
Fundamental Summary Table Version 1 is currently being tested on the Israeli market and some stocks from the American market
Releasing a version after the data has been tested
And there is also interesting information that emerges from this indicator
עברית
טבלת סיכום פונדמנטלי גרסה 1 כרגע בדוקה על השוק הישראלי ועל כמה מניות מהשוק האמריקאי
משחרר גרסה לאחר שהנתונים נבדקו
וגם יש מידע מעניין שעולה מן האינדיקטור הזה! (מוזמנים לבדוק)
High/Low from Set Period with LabelsMark high and low from a set period.
I use it to mark Overnight Low and High of FDAX instrument, to achieve that :
- you need to use candle chart
- you need to use regular trading hours ( to include overnight trades )
- you need to set that on M2 timeframe
- you need to set time begin : 17:30
- you need to set time end : 08:58
- when it will be drawn in 09:02, then let extend it via a hand and then you can disable
Issues :
- it will be visible after finished miminum period time :
-- after 2 minutes on M2 ( 9:02 )
-- after 5 minutes on M5 ( 9:05 )
etc ...
DAX Sectors OverviewIt's a table with a realtime read of DAX sectors, their changes in the day, weight for the whole DAX index.
Weights are fixed values defined in the script - recommended to refresh them periodically.
Dublin Time Hourly Levels for Natural Gas Prints lines from 2:30am too 8:30am UTC 00:00 and shows the odds of those levels being hit between 10:30am - 13:30am based on previous sessions. going too larger time frames gathers data from more and more sessions. This can be very helpful paired with a basic entry strat eg support and resistance, volume profile etc NYMEX:NG1! is what I found has great levels but you could test on other futures, forex, crypto etc.
NQ 55 LEVELSlevels to top and bottom tick
These levels top and bottom tick a lot of the times, use your own confluences to make them work
PE Fair ValueIn short, it’s an automated fair value estimator based on the price-to-earnings model, with full manual control if TradingView’s fundamental data is missing.
Summary:
1. Lets the user choose the EPS source – either automatically from TradingView fundamentals (EPS TTM) or a manual value.
2. Attempts to fetch the stock’s P/E ratio (TTM) automatically; if unavailable, it uses a manual fallback P/E.
3. Calculates:
Actual P/E = current price ÷ EPS
Fair Value = EPS × chosen (auto/manual) P/E
Percentage difference between market price and fair value
4. Plots the fair-value line on the chart for visual comparison.
5. Displays a table in the top-right corner showing:
EPS used
Target P/E
Actual P/E
Fair value
Current price
Difference vs fair value (colored green or red)
6. Creates alerts when the stock is trading above or below the calculated fair value.
7. Also plots the current closing price for reference.
Top Finder & Dip Hunter [BackQuant]Top Finder & Dip Hunter
A practical tool to map where price is statistically most likely to exhaust or mean-revert. It builds objective support for dips and resistance for tops from multiple methodologies, then filters raw touches with volume, momentum, trend, and price-action context to surface higher-quality reversal opportunities.
What this does
Draws a Dip Support line and a Top Resistance line using the method you select, or a blended hybrid.
Evaluates each touch/penetration against Quality Filters and assigns a 0–100 composite score.
Prints clean DIP and TOP signals only when depth/extension and quality pass your thresholds.
Optionally annotates the chart with the computed quality score at signal time.
Why it’s useful
Objectivity: Converts vague “looks extended” into rules, reduces discretion creep.
Signal hygiene: Filters raw touches using trend, volume, momentum, and candle structure to avoid obvious traps.
Adaptable regimes: Switch methods, sensitivity, and lookbacks to match choppy vs trending conditions.
How support and resistance are built
Pick one per side, or use “Hybrid.”
Dynamic: Anchors to the extreme of a lookback window, padded by recent ATR, so buffers expand in volatile periods and contract when calm.
Fibonacci: Uses the 0.618/0.786 retracement pair inside the current swing window to target common reaction zones.
Volatility: Uses a moving-average basis with standard-deviation bands to capture statistically stretched moves.
Volume-Weighted: Centers off VWAP and penalizes deviations using dispersion of price around VWAP, helpful on intraday instruments.
Hybrid: A weighted average of the above to smooth out single-method biases.
When a touch becomes a signal
Depth/extension test:
Dips must penetrate their support by at least Min Dip Depth % .
Tops must extend above resistance by at least Min Top Rise % .
Quality Score gate: The composite must clear Min Quality Score . Components:
Trend alignment: Favor dips in bullish regimes and tops in bearish regimes using EMAs and RSI.
Volume confirmation: Reward expansion or spikes versus a 20-period baseline.
RSI context: Prefer oversold for dips, overbought for tops.
Momentum shift: Look for short-term momentum turning in the expected direction.
Candle structure: Reward hammer/shooting-star style responses at the level.
How to use it
Pick your regime:
Range/chop, small caps, mean-revert intraday → Volatility or Volume Weighted .
Cleaner swings/trends → Dynamic or Fibonacci .
Unsure or mixed conditions → Hybrid .
Set windows: Start with Lookback = 50 for both sides. Increase in higher timeframes or slow assets, decrease for fast scalps.
Tune sensitivity: Raise Dip/Top Sensitivity to widen buffers and reduce noise. Lower to be more aggressive.
Gate with quality: Begin with Min Quality Score = 60 . Push to 70–80 for cleaner swing entries, relax to 50–60 for scalps.
Act on first prints: The script only fires on new qualified events. Use the score label to prioritize A-setups.
Typical workflows
Intraday futures/crypto: Volume-Weighted or Volatility methods for both sides, higher Sensitivity , require Volume Filter and Momentum Filter on. Look for DIP during opening drive exhaustion and TOP near late-session fatigue.
Swing equities/FX: Dynamic or Fibonacci with moderate sensitivity. Keep Trend Filter on to only take dips above the 200-EMA and tops below it.
Countertrend scouts: Lower Min Dip Depth % / Min Top Rise % slightly, but raise Min Quality Score to compensate.
Reading the chart
Lines: “Dip Support” and “Top Resistance” are the current actionable rails, lightly smoothed to reduce flicker.
Signals: “DIP” prints below bars when a qualified dip appears, “TOP” prints above for qualified tops.
Scores: Optional labels show the composite at signal time. Favor higher numbers, especially when aligned with higher-timeframe trend.
Background hints: Light highlights mark raw touches meeting depth/extension, even if they fail quality. Treat these as early warnings.
Tuning tips
If you get too many false DIP signals in downtrends, raise Min Dip Depth % and keep Trend Filter on.
If tops appear late in squeezes, lower Top Sensitivity slightly or switch top side to Fibonacci .
On assets with erratic volume, prefer Volatility or Dynamic methods and down-weight the Volume Filter .
For strict systems, increase Min Quality Score and require both Volume and Momentum filters.
What this is not
It is not a blind reversal signal. It’s a structured context tool. Combine with your risk plan and higher-timeframe map.
It is not a guarantee of mean reversion. In strong trends, expect fewer, higher-score opportunities and respect invalidation quickly.
Suggested presets
Scalp preset: Lookback 30–40, Sensitivity 1.2–1.5, Quality ≥ 55, Volume & Momentum filters ON.
Swing preset: Lookback 75–100, Sensitivity 1.0–1.2, Quality ≥ 70, Trend & Volume filters ON.
Chop preset: Volatility/Volume-Weighted methods, Quality ≥ 60, Momentum filter ON, RSI emphasis.
Input quick reference
Dip/Top Method: Choose the model for each side or “Hybrid” to blend.
Lookback: Swing window the levels are built from.
Sensitivity: Scales volatility padding around levels.
Min Dip Depth % / Min Top Rise %: Minimum breach/extension to qualify.
Quality Filters: Trend, Volume, Momentum toggles, plus Min Quality Score gate.
Visuals: Colors and whether to print score labels.
Best practices
Map higher-timeframe trend first, then act on lower-timeframe DIP/TOP in the trend’s favor.
Use the score as triage. Skip mediocre prints into news or at session open unless score is exceptional.
Pre-define stop placement relative to the level you used. If a DIP fails, exit on loss of structure rather than waiting for the next print.
Bottom line: Top Finder & Dip Hunter codifies where reversals are most defensible and only flags the ones with supportive context. Tune the method and filters to your market, then let the score keep your playbook disciplined.
Dance With Wolves VN PublicDance With Wolves VN
Indicator kết hợp EMA 9/21 để vào lệnh nhanh, thêm EMA 20/50/200 để xem trend lớn.
Tự tạo Entry, SL, TP1, TP2, TP3 theo ATR.
Vẽ luôn 3 mức kháng cự (R1–R3) và 3 mức hỗ trợ (S1–S3) từ pivot gần nhất.
Dùng tốt cho khung 1m–15m với crypto, stock, futures.
Dance With Wolves VN — Smart EMA Strategy
This indicator combines EMA 20/50/200 trend tracking, automatic Buy/Sell signals, Take Profit & Stop Loss levels, and Support/Resistance zones.
It helps traders identify clean entries, manage risk with visual TP/SL targets, and follow market trends with clarity.
Created by Dance With Wolves VN — a community project for traders who value discipline, teamwork, and precision.
Anchored ATH Drawdown LevelsThe Anchored ATH Drawdown Levels plots horizontal lines from a chosen anchor price (ATH), showing potential pullback zones at set percentage drops below it.
This indicator's use lies in its anchored ATH framework, which rapidly visualizes precise drawdown levels as dynamic levels of interest or price targets enabling traders to anticipate pullback depths and potential reversal levels without manual calculations.
Pick "True ATH" for the all-time high or "Period ATH" for anchored highs reset weekly, monthly, or quarterly. Lines stretch right for a cleaner visual.
Key Features
Anchoring: True ATH (lifetime max) or Period ATH (resets on 1W/1M/3M intervals).
Drawdown Levels: 8 adjustable levels (defaults: -5%, -10%, -15%, -20% on; -25% to -50% off). Toggle each, set drop % (0.1-99.9), pick color, style (solid/dashed/dotted), width (1-3).
ATH Line: Optional ATH line with custom color, style, width.
Unified Look: Global overrides for all levels' color, style, width.
Labels: Show % drops (with/without prices) via text boxes or full tags; sizes from tiny to large.
Projection: Lines extend 5-100 bars right (default 20).
Settings
Anchor: Mode and timeframe.
Display: Toggle levels/ATH, set extension.
Labels: Style (text/full/none), size, price display.
Global/ATH/Levels: Colors, styles, widths (per-level or shared).
How to Use
Load on chart (overlays prices; handles up to 500 lines).
Choose anchor for your high.
Tune levels for key pullbacks (e.g., -5% minor, -20% major).
Customize visuals where the lines update on new peaks.
AudenFX Futures Risk Management & CalculatorAudenFX Futures Risk Management (FRM) is a specialized utility indicator designed to help Futures traders calculate position size, risk exposure, and reward potential in a structured and consistent manner.
Unlike signal or entry indicators, this tool focuses entirely on capital protection and risk allocation, supporting traders in making more deliberate and well-planned decisions.
This indicator is particularly made for Micro and Mini Futures markets, where tick values vary across instruments, and miscalculation of position size can significantly affect overall account performance. FRM removes guesswork by using accurate, contract-specific tick values built directly into the calculation.
What Makes This Indicator Different
Most position sizing or risk calculators available publicly:
Are designed mainly for Forex / Pips, not Tick-valued Futures
Require manual tick value input, which can lead to calculation errors
Do not account for the difference between theoretical vs. executable contract sizing
Or only display formulas, instead of practical contract size output
AudenFX FRM addresses these limitations by:
Automatically applying correct tick value for each supported Futures contract
Using Stop Loss in ticks, matching actual Futures market structure
Providing rounded contract size that can be realistically executed (no decimals)
Showing both expected and actual risk after rounding, for transparency
Presenting data in a clear, on-chart table without cluttering price action
This helps minimize position size error and ensures risk is intentional, not accidental.
Key Features
Contract Support Works with Micro and Mini Futures contracts such as: MES, MNQ, MGC, SIL, MYM, ES, NQ, GC, SI, YM, RTY, M2K
Risk-Based Position Sizing Calculates trade size based on % of account equity or user-defined risk tolerance
Tick-Based SL Input Accepts Stop Loss in ticks, consistent with Futures charting and DOM placement
Accurate Tick Value Mapping Built-in tick value per contract — no manual lookup or conversion required
Contract Size Output Returns rounded number of contracts suitable for actual order execution
Actual Risk Transparency Displays the real dollar risk after rounding, preventing under/over exposure
Reward Estimation Calculates potential reward based on chosen Reward:Risk ratio (RR)
Customizable Table Display Adjustable position & size to match any chart layout preference
Intended Use
This indicator is suitable for:
Traders who prioritize risk management and capital preservation
Traders refining sizing consistency across volatile market environments
Manual, discretionary, price action, or system-based Futures traders
This tool does not generate buy/sell signals, define market direction, or promise trade outcomes.
It is meant to support a planned, methodical approach to risk, which can be applied in any strategy.
Important Disclaimer
This indicator is provided for educational and informational purposes only.
It does not guarantee profitability, prevent loss, or provide trading instructions or recommendations.
Users are fully responsible for their own trading decisions and financial outcomes.
Jackpot_By_Rao_Gs_Swng_Pbls🎯 Description
Jackpot_By_Rao_Gs_Swng_Pbls is a precision-based intraday and swing trading automation tool designed for NIFTY options, built to identify high-probability BUY CE and BUY PE opportunities.
The script automatically tracks ITM (In-the-Money) option pairs derived from the live NIFTY spot price and calculates breakout/breakdown setups based on recent swing highs and lows, EMA alignment, and RSI confirmation.
Once a valid breakout condition is met, the script generates:
Visual chart signals with complete trade details (Entry, Stop Loss, Targets)
Dynamic JSON alerts for webhook-based auto order placement
Automated trade management (Target, SL, and Exit logic)
It’s optimized for traders using Dhan API or compatible webhook integrations, enabling one-click or automated trade execution directly from TradingView alerts.
⚙️ Core Features
✅ Auto-calculates current ATM and ITM strike codes based on today’s open price
✅ Identifies breakout/breakdown trades from the previous swing levels
✅ Dynamic EMA-based trend filter (EMA 20 vs EMA 50)
✅ RSI check for directional strength (internally calculated)
✅ Full trade details shown on the chart with 5 target levels
✅ Auto JSON alert generation with webhook-ready payload
✅ Built-in Stop Loss and Exit handling logic
✅ Visual markers for CE (Green arrows) and PE (Red arrows)
✅ Adjustable parameters for expiry date, open price, and swing length
📈 Trade Logic Overview
🔹 BUY CE Condition (Bullish Setup):
EMA20 > EMA50 → Bullish trend confirmation
Spot closes below recent swing low
CE Option price below its recent high
Confirmation candle closes above previous open (if green) or above midpoint (if red)
🔹 BUY PE Condition (Bearish Setup):
EMA50 > EMA20 → Bearish trend confirmation
Spot closes above recent swing high
PE Option price below its recent high
Confirmation candle closes below previous close/midpoint depending on color
Each signal automatically plots a BUY label on the chart showing:
Entry Price
Stop Loss
Targets 1–5
Strike Code
Trigger Time |
Midnight ET + Daily H/L True dayThis script divides each day from midnight EST to the next midnight opening price (True day). Full credits go to my mentor ICT for the idea behind the script
Midnight ET + Daily H/L (vertical midnight + HL lines)This script provides midnight EST dividers for each day and marks each daily high and low during each True day. Credits go to my mentor ICT for the idea behind this script.
1BullBear™ StatisticsOverview
1BullBear™ Statistics is a comprehensive volume delta analysis tool that transforms raw order flow data into actionable visual insights. This indicator displays seven key metrics in a clean, gradient-based heatmap format below your price chart, helping you identify significant buying and selling pressure in real-time.
Key Features: Seven Essential Metrics
Volume - Total volume per bar with threshold highlighting
Delta - Net buying/selling pressure (Buy Volume - Sell Volume)
Cumulative Delta - Session-based running total of delta
Delta Ratio - Delta expressed as a percentage of total volume
Minimum - Lowest delta value within the bar's timeframe
Maximum - Highest delta value within the bar's timeframe
Standard Deviation - Statistical measure of delta volatility within the session
Intelligent Gradient Visualization
Dynamic color intensity based on historical significance
Adaptive scaling using configurable lookback periods (10-200 bars)
Threshold-based highlighting to immediately spot extreme values
Separate bull/bear coloring for directional clarity
Customizable transparency for optimal chart integration
Flexible Configuration
Toggle any metric on/off to focus on what matters
Custom labels - rename metrics to your preference
Independent color schemes for each row
Adjustable thresholds for highlighting significant values
Multiple text sizes from tiny to huge
Session-aware calculations that reset at market open
Real-Time Updates
Confirmed bars display permanent historical data
Current bar updates in real-time as price action develops
Efficient rendering with automatic cleanup of previous bars
Handles up to 500 boxes for extensive historical analysis
How It Works
The indicator uses TradingView's native volume delta data (sourced from lower timeframe aggregation) to calculate order flow statistics. Each metric is displayed as a colored box below the chart, with gradient intensity representing the value's significance relative to recent history.
Gradient Logic:
Stronger colors = more significant values relative to the lookback period
Transparent backgrounds = values below threshold (filtered out)
Color saturation scales from 0% to your set maximum opacity
Session Management:
Cumulative Delta and Standard Deviation reset at each new trading session
Session detection uses exchange timezone for accurate daily calculations
Historical lookback maintains a rolling window for gradient intensity
I deal Use Cases
Scalping & Day Trading - Identify aggressive buying/selling in real-time
Order Flow Analysis - Understand market participant behavior
Divergence Detection - Spot when price and delta disagree
Volume Profile Context - Complement VP analysis with granular delta data
Breakout Confirmation - Verify price moves with volume delta agreement
Default Thresholds
The indicator comes pre-configured with sensible defaults for futures trading:
Volume: Highlights bars above 1,500 contracts
Delta: Flags extremes beyond ±500
Delta Ratio: Alerts on imbalances beyond ±70%
Min/Max: Range filter of ±10 for precision
Std Dev: Highlights outliers beyond ±0.7 standard deviations
Adjust these values based on your instrument and timeframe.
Technical Notes
Requires real-time volume delta data from your broker
Works best on instruments with strong volume (futures, major stocks, crypto)
Lower timeframe aggregation defaults to 1-second or 1-minute depending on chart timeframe
Optimized performance with efficient array management and conditional rendering
Compatibility
Pine Script™ v6
All timeframes supported
Best results on liquid instruments with reliable volume data
Integrates seamlessly with other TradingView indicators
Created by KweeBoss_ | Licensed under Mozilla Public License 2.0
Note: This indicator analyzes historical and real-time volume data. Past performance does not guarantee future results. Always combine with other forms of analysis and proper risk management.
Emerson v8.4 – Kulture Metrics🜂 Emerson v8.4 – Kulture Metrics
“When volatility breathes, probability answers.”
The Emerson Engine isn’t another indicator—it’s a precision instrument built to exploit the hidden mathematics of motion.
Born from Kulture Metrics’ Nosreme lineage, this model fuses trend architecture, volatility anatomy, and Linetsky’s path-integral weighting into one living signal core. It doesn’t predict — it quantifies belief.
Each trigger passes through three unforgiving filters:
Classical Trend & Momentum Logic — directional strength, pure and unadulterated.
Squeeze Regime Anticipation — volatility compression before the break.
Path-Integral Confirmation — stochastic payoffs weighted by risk-free discounting and volatility density.
The result?
Only signals where the math, the market, and the moment all align — Absolute Confirmations.
No noise. No guessing. No emotion.
In practice, Emerson waits. It calculates. Then it strikes with surgical precision — entries that respect volatility, discount rates, and expected path contributions like a derivatives desk built into your chart.
Each decision point carries the full weight of stochastic probability theory — the same principles driving modern option pricing — yet distilled into something you can read at a glance.
Benefits that separate you from the herd:
✅ Trades filtered by volatility percentile and expected payoff distribution — not gut feel.
✅ Dotted bias line reveals the “probabilistic current” beneath price itself.
✅ Alerts trigger only when logic, momentum, and probability form a unanimous verdict.
✅ Dynamic macro-window shading adapts to volatility pressure in real time.
✅ Every entry inherently respects your risk, target, and discounting horizon.
Emerson v8.4 doesn’t ask the market what’s happening — it tells it what must happen next, given the probabilities.
It’s not designed to comfort. It’s designed to confirm.
Kulture Metrics. Built for traders who understand that randomness is just order not yet resolved.
Michie Breakout 1.0A precision breakout indicator built with adaptive machine learning logic and price action principles.
Designed specifically for TSLA, it detects key volatility shifts and directional momentum zones to capture high-probability breakout setups while filtering noise.
Focuses on clarity, adaptability, and accuracy — optimized for real-time intraday trading.
VWAP Kalman FilterOverview
This indicator applies Kalman filtering techniques to Volume Weighted Average Price (VWAP) calculations, providing a statistically optimized approach to VWAP analysis. The Kalman filter reduces noise while maintaining responsiveness to genuine price movements, addressing common VWAP limitations in volatile or low-volume conditions.
Technical Implementation
Kalman Filter Mathematics
The indicator implements a state-space model for VWAP estimation:
- Prediction Step: x̂(k|k-1) = x̂(k-1|k-1) + v(k-1)
- Update Step: x̂(k|k) = x̂(k|k-1) + K(k)
- Kalman Gain: K(k) = P(k|k-1) / (P(k|k-1) + R)
Where:
- x̂ = estimated VWAP state
- K = Kalman gain (adaptive weighting factor)
- P = error covariance
- R = measurement noise
- Q = process noise
- v = optional velocity component
Core Components
Dual VWAP System
- Standard VWAP: Traditional volume-weighted calculation
- Kalman-filtered VWAP: Noise-reduced estimation with optional velocity tracking
- Real-time divergence measurement between filtered and unfiltered values
Adaptive Filtering
- Process Noise (Q): Controls adaptation to price changes (0.001-1.0)
- Measurement Noise (R): Determines smoothing intensity (0.01-5.0)
- Optional velocity tracking for momentum-based filtering
Multi-Timeframe Anchoring
- Session, Weekly, Monthly, Quarterly, and Yearly anchor periods
- Automatic Kalman state reset on anchor changes
- Maintains VWAP integrity across timeframes
Features
Visual Components
- Dual VWAP Lines: Compare filtered vs. unfiltered in real-time
- Dynamic Bands: Three-level deviation bands (1σ, 2σ, 3σ)
- Trend Coloring: Automatic color adaptation based on price position
- Cloud Visualization: Highlights divergence between standard and Kalman VWAP
- Signal Markers: Crossover and band-touch indicators
Trading Signals
- VWAP crossover detection with Kalman filtering
- Band touch alerts at multiple standard deviation levels
- Velocity-based momentum confirmation (optional)
- Divergence warnings when filtered/unfiltered values separate
Information Display
- Real-time VWAP values (both standard and filtered)
- Trend direction indicator
- Velocity/momentum reading (when enabled)
- Divergence percentage calculation
- Anchor period display
Input Parameters
VWAP Settings
- Anchor Period: Choose calculation reset period
- Band Multipliers: Customize deviation band distances
- Display Options: Toggle standard VWAP and bands
Kalman Parameters
- Length: Base period for calculations (5-200)
- Process Noise (Q: Higher values increase responsiveness
- Measurement Noise (R): Higher values increase smoothing
- Velocity Tracking: Enable momentum-based filtering
Visual Controls
- Toggle filtered/unfiltered VWAP display
- Band visibility options
- Signal markers on/off
- Cloud fill between VWAPs
- Bar coloring by trend
Use Cases
Noise Reduction
Particularly effective during:
- Low volume periods (pre-market, lunch hours)
- Volatile market conditions
- Fast-moving markets where standard VWAP whipsaws
Trend Identification
- Cleaner trend signals with reduced false crosses
- Earlier trend detection through velocity component
- Confirmation through divergence analysis
Support/Resistance
- Filtered VWAP provides more stable S/R levels
- Bands adapt to filtered values for better zone identification
- Reduced false breakout signals
Technical Advantages
1. Optimal Estimation: Mathematically optimal under Gaussian noise assumptions
2. Adaptive Response: Self-adjusting to market conditions
3. Predictive Element: Velocity component provides forward-looking insight
4. Noise Immunity: Superior noise rejection vs. simple moving average smoothing
Limitations
- Assumes linear price dynamics
- Requires parameter optimization for different instruments
- May lag during sudden volatility regime changes
- Not suitable as standalone trading system
Mathematical Background
Based on control systems theory, the Kalman filter provides recursive Bayesian estimation originally developed for aerospace applications. This implementation adapts the algorithm specifically for financial time series, maintaining VWAP's volume-weighted properties while adding statistical filtering.
Comparison with Standard VWAP
Standard VWAP Issues Addressed:
- Choppy behavior in low volume
- Whipsaws around VWAP line
- Lag in trend identification
- Noise in deviation bands
Kalman VWAP Benefits:
- Smooth yet responsive line
- Fewer false signals
- Optional momentum tracking
- Statistically optimized filtering
Alert Conditions
The indicator includes several pre-configured alert conditions:
- Bullish/Bearish VWAP crosses
- Upper/Lower band touches
- High divergence warnings
- Velocity shifts (if enabled)
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This open-source indicator is provided as-is for educational and trading purposes. No guarantees are made regarding trading performance. Users should conduct their own testing and validation before using in live trading.






















