ATTC StrucutreThis indicator visualizes the pure market structure in real time – automatically identifying Higher Highs, Higher Lows, Lower Highs, and Lower Lows to help you read the current direction and phase of the market.
It clearly marks Breaks of Structure (Shift), allowing traders to instantly recognize when the market is continuing a trend or shifting momentum.
It's based of DTFX concepts so the market structure is marked out by the candlestick closures.
インジケーターとストラテジー
Pro Trading System - Student Edition
---
### **PRO TRADING SYSTEM - STUDENT EDITION**
🔓 **FREE EDUCATIONAL TOOL FOR STUDENTS**
🎯 **PROFESSIONAL TRADING FRAMEWORK:**
* Advanced Multi-Timeframe Trend Analysis
* Professional EMA Matrix with Smart Visibility Control
* Gann Theory Based Session Levels
* Real-time Multi-Timeframe Trend Dashboard
* Institutional Grade Price Action Analysis
📊 **INTELLIGENT EMA MATRIX:**
* **CORE EMAs:** 5M-21 (Red) & 5M-50 (Green) - Always Visible
* **EXTENDED MATRIX:** 3M-200 to 1W-200 (Optional)
* Smart Persistent Labels - Visible Even When Lines Are Hidden
* Complete Color Customization
* Individual EMA Group Visibility Control
🔄 **MULTI-TIMEFRAME TREND DASHBOARD:**
* **POSITIONAL TRADING** - Daily Chart Analysis
* **MEDIUM SWING** - 4-Hour Trend Direction
* **SHORT SWING** - 1-Hour Market Momentum
* **INTRADAY** - 15-Minute Trading Signals
* **SCALPING** - **5-Minute High-Probability Entries
* Instant Visual Color Coding (Green = Bullish, Red = Bearish)
* Quick Trend Identification Across All Timeframes
* Space-Optimized Mobile & Desktop Design
📈 **GANN-BASED SESSION LEVELS:**
* 12 Strategic BUY Side Levels (Above Session Open)
* 12 Calculated SELL Side Levels (Below Session Open)
* Full Color & Transparency Customization
* Automatic Daily Level Regeneration
⚙️ **PROFESSIONAL CUSTOMIZATION:**
* Complete EMA Color & Visibility Control
* Session Levels Color Schemes
* Line Width & Style Adjustments
* Label Display Management
* Professional Trading Workspace Setup
📱 **UNIVERSAL COMPATIBILITY:**
* Fully Optimized for Mobile Trading
* Flawless Desktop Performance
* Clean, Uncluttered Visual Interface
* Zero Repainting - Real-time Calculations Only
🎓 **EDUCATIONAL PURPOSE:**
* 100% FREE Student Learning Tool
* Professional Trading Concept Implementation
* **Multi-Timeframe Analysis & Scalping Strategy Training**
* Risk Management Principles
* Market Structure Education
🔧 **TECHNICAL SPECIFICATIONS:**
* Built on Pine Script v5
* Maximum Drawing Objects: 500
* Overlay Chart Display
* Real-time Price Calculations
* Lightweight & Efficient
⚠️ **IMPORTANT DISCLAIMER:**
This is a **FREE educational tool** designed for student learning purposes only. It is **not** a paid indicator or financial advice tool. The addition of the 5-minute scalping framework is for educational demonstration of high-frequency timeframes and carries significant risk. Always practice proper risk management and paper trading before live markets. The developers are not responsible for any trading decisions made using this tool.
Pin Bar_EMA34_kidumon
This indicator is pin bar with legs at ema34 which helps us catch order reversal trend.
Swiftmap CVD Bubbles & HeatmapSession CVD Indicator is a powerful tool designed for traders analyzing market activity across major trading sessions: Asian (00:00–09:00), London (09:00–17:00), and New York (15:30–22:30) in CEST (UTC+2). It calculates Cumulative Volume Delta (CVD) for each session, providing insights into net buying or selling pressure. The indicator features a customizable heatmap inspired by Bookmap, with a gradient effect to visualize significant trades, along with optional bubbles and a session-based CVD table
Session-Based CVD: Tracks CVD separately for Asian, London, and New York sessions, with values frozen at the end of each session for easy comparison.
Gradient Heatmap: Displays buy-side (green) and sell-side (red) activity with a gradient effect, fading from intense color at the center to transparent edges, mimicking Bookmap’s visual style.
Lot Size Filter: Filters out small trades using a percentile-based threshold (bubble_percentile) to focus on significant market moves.
Bubbles for Big Trades: Visualizes large trades with customizable bubble sizes (tiny, small, normal, large, huge) based on delta strength.
Customizable Contrast: Adjusts heatmap visibility with a heatmap_contrast setting to filter out low-volume zones.
CEST Timezone: Hardcoded for CEST (UTC+2), ensuring accurate session timing for European traders.
CVD Table: Displays live or frozen CVD values in a table at the top-right of the chart, with green/red colors for positive/negative CVD.
How to Use
Add to Chart: Apply the indicator to a chart with volume data (e.g., EURUSD or BTCUSD on 1min–15min timeframes).
Set Timezone: Ensure your chart’s timezone is set to “Europe/Copenhagen” (CEST) for accurate session alignment.
Adjust Settings:
Session Times: Customize start/end times for Asian, London, and New York sessions (default: 00:00–09:00, 09:00–17:00, 15:30–22:30 CEST).
ATR Settings: Modify ATR Length (default 14) and ATR Threshold (default 0.5) to filter out small candles.
Lot Size Filter: Enable/disable with Use Lot Size Filter and adjust Big Trades Volume/Delta Percentile (default 50) to focus on significant trades.
Visuals: Toggle Show Bubbles, Minimal Mode (tiny dots only), Show Heatmap, and Show Debug Labels. Adjust Heatmap Contrast (default 0.3) to filter low-volume zones.
Warnings: Enable Show No Heatmap Zones Warning to display alerts if filters are too strict.
Interpret Results:
Table: View live CVD during a session or frozen CVD after it ends.
Heatmap: Green (buy-side) or red (sell-side) boxes (20 bars wide, 10 left/right) with gradient fading, indicating significant trades.
Bubbles: Circles above (buy) or below (sell) candles, sized by delta strength.
Debug Labels: Show volume and delta for each heatmap zone if enabled.
Settings
Session Times: Configure start/end times for each session in CEST.
ATR Length/Threshold: Filter neutral candles based on ATR (Average True Range).
Big Trades Volume/Delta Percentile: Set the threshold for significant trades (default 50).
Use Delta Filter: Choose between delta-based or volume-based filtering.
Use Aggressive Factor: Weight large price movements higher (default enabled).
Show Bubbles: Toggle bubbles for big trades.
Minimal Mode: Display only tiny bubbles if enabled.
Show Heatmap: Toggle the gradient heatmap.
Heatmap Contrast: Adjust (0–5) to filter out low-volume zones (lower = more zones).
Show Debug Labels: Display volume/delta for heatmap zones.
Show No Heatmap Zones Warning: Toggle warning for overly strict filters.
Pin Bar_ EMA34 _kidumonPin Bar touches EMA34 - kidumon
pin bar candlestick reaction at ema34 shows strong rejection force, can catch reversal trend.
HoneG_ワンタッチHELP4 SUBザオプションのワンタッチ取引向けの補助ツールver4です
仮想通貨のpips換算時、変換式がイレギュラーなので、
ザオプションの現行画面仕様に合わせて作りました
ver4はラベルを用いて、スマホ画面にも対応しています。
This is ver4 of the auxiliary tool for The Option's One-Touch trading.
Since the conversion formula for cryptocurrency pips is irregular,
it was created to match The Option's current screen specifications.
ver4 uses labels and is compatible with smartphone screens.
TRADE ORBIT :Support & Resistance Level🧩 Features
✅ Automatically updates at the start of each new trading day
✅ Draws horizontal pivot lines that extend across the current day
✅ Red lines = Resistance levels
✅ Green lines = Support levels
✅ Labels (R1–R5, S1–S5) displayed at the right edge for clarity
✅ Lightweight and compatible with all timeframes
💡 How to Use
These levels can act as potential intraday or swing reversal zones.
Watch for price rejections or breakouts near these calculated pivots.
Combine with other tools such as RSI, volume, or moving averages for confirmation.
智能资金概念-NEWSmart Fund Concept-NEW
Smart Fund Concept-NEW
Smart Fund Concept-NEW
Smart Fund Concept-NEW
Smart Fund Concept-NEW
Bollinger Breakout with RSI and RVI ConfirmationThe K stick breaks through the upper and lower rails of the Bollinger Band,
At the same time, the RSI is overbought or oversold.
Then add the RVI (RVGI) double cross-reversal confirmation.
With these three indicators, you can be more certain about whether to enter the market long or short.
MTP Pro — Fixed (v6)Forecast price by using some statistic
this project is not finished yet and all of my project are unfinished please refrain from using them.
do visit my project and once it is finish i will update a new one.
i focus mainly on scalping
Seasonality Forecast 4H A seasonality indicator shows recurring patterns in data that occur at the same time each year, such as retail sales peaking during the holidays or demand for ice cream rising in the summer. These indicators are used in fields like business, economics, and finance to identify predictable, time-based fluctuations, allowing for better forecasting and strategic planning, like adjusting inventory or staffing levels. In trading, a seasonality indicator can show historical patterns, like an asset's tendency to rise or fall in a specific month, to provide additional context for decision-making.
Seasonality reasoning basically seasonality works most stably on the daily frame with the input parameter being trading day 254 or calendar day 365, ..
Use seasonal effects such as sell in May, buy Christmas season, or exploit factors such as sell on Friday, ... to track the price movement.
The lower the time frame, the more parameters need to be calculated and the more complicated. I have tried to code the version with 1 hour, 15 minutes and 4 hours time frames
On the statistical language R and Python, Pine script
Tradingview uses the exclusive and unique Pine language. There is a parameter limit, just need to change the number of forecast days or calculate shorter or only calculate the basic end time value, we seasonality still works
but the overall results are easily noisy and related to controlling the number of orders per week/month and risk management.
The 4-hour frame version works well because we exploit the seasonal factor according to the 4-hour trading session as a trading session
Every 4 hours we have an input value that corresponds to the Asian, European, and American trading sessions
4 hours - half a morning Asian session.4 hours - half an afternoon Asian session, 4 hours - half a morning European session, 4 hours - half an afternoon European session, similar to the US and repeat the cycle.
Input Parameter Declaration
Tradingview does not exist declaration form day_of_year = dayofyear(time) Pine Script v5:
Instead of using dayofyear, we manually calculate the number of days in a year from the time components.
// Extract year, month, day, hour
year_now = year(time)
month_now = month(time)
day_now = dayofmonth(time)
hour_now = hour(time)
// Precomputed cumulative days per month (non-leap year)
days_before_month = array.from(0, 31, 59, 90, 120, 151, 181, 212, 243, 273, 304, 334)
// Calculate day-of-year
day_of_year = array.get(days_before_month, month_now - 1) + day_now
Input parameter customization window
Lookback period years default is 10, max - the number of historical bars we have, should only be 5 years, 10 years, 15 years, 20 years, 30 years.
Future project bar default is 180 bars - 1 month. We can adjust arbitrarily 6*24*254 - day/month/year
smoothingLength Smooth the data (1 = no smoothing)
offsetBars Move the forecast line left/right to check the past
How to use
Combine seasonality with Supply Demand, Footprint volume profile to find long-term trends or potential reversal points
day_of_year := day_of_year + ((is_leap and month_now > 2) ? 1 : 0)
// Compute bin index
binIndex = (day_of_year * sessionsPerDay) + math.floor(hour_now / 4)
binIndex := binIndex % binsPerYear // Keep within array bounds
The above is the manual code to replace day of year
Combined Multi MAs with Floor Pivots and CPR ramlakshmanCombined Multi MAs with Floor Pivots and CPR ramlakshman das
Proteus EMA SystemInstitutional-Grade EMA System
Overview and Originality
The Institutional-Grade EMA System is an advanced, multi-layered Exponential Moving Average (EMA) overlay indicator designed to provide institutional-level trend analysis, market regime identification, and trade signal generation. Unlike standard multi-EMA scripts that simply plot averages and basic crossovers, this indicator introduces a proprietary integration of features tailored for professional traders: customizable presets that dynamically adjust EMA lengths for specific trading styles (e.g., scalping vs. position trading), multiple selectable trend detection algorithms (including a unique multi-bar slope analysis with percentage-based strength thresholding), EMA alignment and confluence detection for spotting high-conviction trends and reversal zones, volume-based signal filtering, and a comprehensive statistics dashboard for real-time market insights.
What makes this script original and worthy of closed-source protection is the bespoke combination of these elements into a cohesive system. For instance, while basic EMA ribbons or trend coloring exist in other indicators, this script's trend detection goes beyond simple comparisons by incorporating a normalized slope percentage calculation (detailed below) to quantify trend strength on a 0-100% scale, integrated with EMA stacking checks and confluence thresholds. This proprietary logic—refined through extensive backtesting on diverse assets—allows for nuanced market regime classification (e.g., "Strong Uptrend" only when alignment, slope strength, and volume align), which isn't replicated in open-source alternatives. The closed-source format protects the exact orchestration of these algorithms, including custom threshold derivations and dashboard computations, preventing direct replication while allowing users full access to the tool's outputs. If published open-source, the unique mathematical formulations (e.g., slope-to-strength mapping) could be easily copied, diminishing its edge in competitive trading environments.
This indicator draws conceptual inspiration from institutional trend-following systems (e.g., those using multiple time-horizon EMAs like in hedge fund models), but enhances them with modern Pine Script capabilities for visual and analytical depth. It's particularly useful for traders seeking to reduce false signals in volatile markets by requiring multi-factor confluence.
What It Does
Core EMA Plotting and Visualization: Plots up to 7 EMAs (5 primary + 2 optional) with dynamic coloring based on detected trend direction and strength (strong bullish: bright green; weak: faded green; neutral: gray; etc.). Includes EMA ribbons (fills between consecutive EMAs) and clouds (broader fills between non-consecutive EMAs) to visualize trend expansion/contraction.
Trend Detection and Strength: Classifies trends as strong/weak bullish/bearish or neutral using user-selectable methods, with optional volume confirmation to filter low-conviction moves.
Advanced Analytics:
Detects EMA alignment (all EMAs stacked in ascending/descending order for bullish/bearish trends).
Identifies EMA confluence zones (tight clustering of EMAs, signaling potential reversals or consolidations).
Draws dynamic support/resistance lines from the nearest EMAs relative to price.
Signals and Alerts: Generates buy/sell signals on customizable EMA crossovers, only if volume thresholds are met. Includes alerts for crossovers, alignments, confluences, and regime shifts.
User Interface Enhancements: Background coloring for quick trend bias (e.g., green for uptrends, yellow for confluences), dynamic line widths (thicker for slower EMAs), trend state labels, and a table-based dashboard displaying metrics like market regime, trend strength percentage, EMA slopes in degrees, price distances to key EMAs, volume status, and alignment state.
Customization Presets: Pre-configured EMA lengths for Scalping (short, reactive: e.g., 5/8/13), Day Trading (balanced: 9/21/50), Swing Trading (medium-term: 20/50/100), Position Trading (long-term: 50/100/150), or fully custom.
The result is a versatile tool that adapts to any timeframe or asset, helping traders identify high-probability setups by combining trend momentum, volume, and EMA dynamics.
How It Works: Underlying Concepts and Calculations
Without revealing the full implementation, here's a transparent overview of the key concepts and methodologies to help users understand the indicator's logic:
EMA Calculation and Presets: EMAs are computed using standard exponential smoothing (weighting recent prices more heavily). Presets optimize lengths based on trading horizon—shorter for scalping to capture quick reversals, longer for position trading to filter noise. For example, Swing preset uses 20/50/100/150/200 to balance short-term pullbacks with long-term trends, derived from Fibonacci-inspired progressions for natural market rhythm alignment.
Trend Detection Methods: Users select from four algorithms for flexibility:
Multi-Bar Slope (Default): Calculates the average slope over a lookback period (e.g., 3 bars) as (current EMA value - EMA value ) / lookback. Normalizes to a percentage relative to the EMA value: slope_percent = (slope / EMA) * 100. Thresholds classify trends (e.g., >0.05% = strong bullish; 0.01-0.05% = weak; symmetric for bearish). This method draws from linear regression concepts but simplifies for real-time use, providing robust trend quantification over simple bar-to-bar changes.
Previous Bar: Compares current EMA to the prior bar's, with percentage change thresholds (e.g., >0.1% = strong) for quick momentum shifts.
EMA vs EMA: Measures the percentage difference between fast and slow EMAs (e.g., >2% = strong bullish), inspired by MACD-like divergence but applied directly to EMAs.
Price Position: Gauges price's percentage distance from the EMA (e.g., >1% above = strong bullish), similar to envelope channels but integrated into trend coloring.
Trend strength is further scored (0-100%) by averaging absolute slopes of key EMAs, scaled for dashboard display.
Volume Confirmation: Uses a simple moving average of volume over a user-defined length (default 20), requiring current volume to exceed it by a multiplier (default 1.2x) for signal validation. This filters out low-volume fakeouts, akin to institutional volume-weighted strategies.
EMA Alignment: Checks if all visible EMAs are in strict order (fastest highest in uptrends, lowest in downtrends) by iterating through active EMAs and verifying sequential relationships. Signals "ALIGNED" shapes when true, indicating stacked trends like in ribbon strategies but with programmatic validation.
EMA Confluence: Computes the average of active EMAs, then measures the maximum percentage deviation of any EMA from this average. If below a threshold (default 0.5%), marks a "CONFLUENCE ZONE" box, conceptually similar to Bollinger Band squeezes but applied to EMA clusters for reversal anticipation.
Market Regime Classification: Combines alignment, trend score (>30% for "strong"), and price position relative to slowest EMA. For example, bullish alignment + high score = "Strong Uptrend"; close clustering = "Consolidation". This heuristic draws from regime-switching models in quantitative finance.
Signals and Visuals: Crossovers between user-selected EMAs (e.g., fast #1 over slow #2) plot "BUY/SELL" shapes only if volume-confirmed. Ribbons use color fills (green/red) based on EMA order; background shades reflect regime; S/R lines extend from max/min EMAs below/above price over a lookback (default 50 bars).
These calculations ensure the indicator provides actionable, multi-confirmed insights rather than generic plots.
How to Use It
Setup: Add to your chart and select a preset (e.g., "Swing Trading" for 1H-4H charts). Customize trend method (start with "Multi-Bar Slope" for accuracy), enable volume filter for reliability, and toggle visuals like ribbons or dashboard.
Trend Following: In a "Strong Uptrend" (green background, upward slopes >30%, bullish alignment), go long above the fastest EMA. Use S/R lines for stops (below nearest support EMA).
Swing Trading Example: On a daily SPX chart with Swing preset:
Wait for "Weak Uptrend" transition to "Strong" (trend score >50%, positive slopes, volume spike).
Enter long on EMA1 (20) crossing EMA2 (50), confirmed by "BUY" signal.
Target next resistance EMA (e.g., 150), exit on bearish crossover or confluence zone (yellow box signaling potential top).
Risk: Stop below EMA3 (100); aim for 2:1 reward:risk on multi-day holds.
Scalp Trading Example: On a 5-min BTCUSD chart with Scalping preset:
Focus on quick "Weak Bullish" shifts (faded green EMAs, slope >0.01%).
Buy on EMA1 (5) crossing EMA3 (13) with high volume (>1.5x avg).
Scalp 0.2-0.5% gains, exit at slope flattening (dashboard shows <30% strength) or nearest resistance.
Avoid confluences (chop); use 1-min for entries, 15-min for bias.
General Tips:
Combine with price action (e.g., candlestick patterns at confluence zones).
Backtest presets on your asset—adjust thresholds for volatility (e.g., tighter confluence for forex).
Use alerts for hands-off monitoring; multi-timeframe analysis enhances accuracy (higher TF for regime, lower for signals).
For ranging markets ("Neutral" regime), fade extremes near S/R zones.
Examples for Swing Trading
Swing trading focuses on capturing medium-term moves (days to weeks) in trending markets. Use the "Swing Trading" preset, which sets EMAs to 20, 50, 100, 150, 200, 75, 125—balancing sensitivity and smoothness.
Bullish Setup Example: On a daily chart of AAPL, wait for a "Strong Uptrend" regime (green background, bullish alignment label, trend strength >50%). Enter long on a valid bullish crossover (green "BUY" circle) between EMA1 (20) and EMA2 (50), confirmed by high volume. Set stop below nearest support EMA (e.g., EMA3 at 100), target 2-3x risk or next resistance. Hold until bearish crossover or alignment breaks.
Bearish Setup Example: On a 4H chart of EURUSD, spot a "Strong Downtrend" (red background, bearish alignment). Short on a bearish crossover (red "SELL") between EMA1 and EMA3, with volume confirmation. Stop above nearest resistance EMA, exit on confluence zone (yellow) signaling potential reversal.
Tip: Focus on alignments for trend confirmation—avoid trading against them. Use confluence zones as profit-taking areas in ranging markets.
Examples for Scalp Trading
Scalping targets quick, short-term trades (minutes to hours) on lower timeframes. Select the "Scalping" preset for shorter EMAs (5, 8, 13, 21, 34, 55, 89) to catch rapid moves.
Bullish Setup Example: On a 1-min chart of BTCUSD, look for "Weak Uptrend" (faded green background, positive slopes). Enter long on a fast crossover (e.g., EMA1 over EMA2) with high volume and no confluence (avoid chop). Scalp for 0.5-1% gain, exit on slope flattening or bearish cross. Use tight stops below the fastest EMA.
Bearish Setup Example: On a 5-min chart of TSLA, identify "Weak Downtrend" (faded red). Short on a crossover between EMA2 and EMA3, confirmed by volume spike. Target small moves (e.g., 10-20 pips), exit at nearest support EMA or if trend strength drops below 30%.
Tip: Prioritize "Multi-Bar Slope" detection for quick trend shifts. Disable background if it's distracting; focus on crossovers and volume for high-frequency entries. Avoid during confluences, as they signal choppy conditions.
This detailed approach ensures traders can replicate setups while appreciating the indicator's original value. Feedback welcome—let's refine trading edges together!
iFVG Ultimate+ | DodgysDDOVERVIEW
iFVG Ultimate+ | DodgysDD is a professional-grade visualization framework that automates the identification and management of Inversion Fair Value Gaps (IFVGs)
It is designed for analysts and educators studying institutional price behavior, liquidity dynamics, and displacement-based imbalances.
This indicator does not provide trading signals or forecasts.
All logic serves educational and analytical purposes only.
A Fair Value Gap (FVG) appears when strong directional displacement prevents candle bodies from overlapping.When a liquidity sweep occurs and price later closes through that gap, the imbalance is considered inverted. This often marks a shift in order-flow.
iFVG Ultimate+ tracks these transitions using a rule-based sequence:
Liquidity Sweep – Price sweeps a previous swing high or low.
Displacement – Body-to-body gap forms as price accelerates away.
Inversion – Full candle body closes through the gap after raid.
Validation and Tracking – Confirmed inversions are stored and managed until completion or invalidation.
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PURPOSE AND SCOPE
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The framework serves as a research tool to document and analyze IFVG behavior within liquidity and session contexts.
It is commonly used to:
-Record and journal IFVG formations for back-testing and model study.
-Assess how often gaps complete or invalidate after sweeps.
-Evaluate session-based patterns (London, Asia, New York).
-Overlay HTF PD Arrays to observe inter-timeframe delivery.
-Receive custom alerts to your phone
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LOGIC STRUCTURE
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iFVG Ultimate+ runs a five-stage validation process to ensure sequential, non-repainting behavior.
Liquidity Framework:
• Detects swing highs and lows on aligned timeframes (automatic or manual selection).
• Logs session highs/lows for Asia (20:00–00:00 NY) and London (02:00–05:00 NY).
• Includes data wicks around 08:30 NY for event reference.
FVG Detection and Displacement Filter:
• Identifies body-based imbalances using ATR-scaled sensitivity modes (Sensitive / Normal / Strict).
• Supports “Single” or “Series” modes to merge adjacent gaps.
• Excludes weak displacements using minimum ATR thresholds.
Inversion Validation:
• Confirms only when a complete candle body closes through a qualifying FVG within a user-defined window (6 or 15 bars).
• Duplicate detections are ignored; mitigation states are recorded.
HTF Context Integration:
• Maps higher-time-frame PD Arrays and tracks their delivery status.
• Labels active zones (e.g. “H4 PDA”) and updates on HTF close.
Model Lifecycle and Limits:
• Plots the inversion line and derives educational limit levels: Break-Even and Stop-Loss.
• Tracks until opposing liquidity is swept (model complete) or an invalidation event occurs.
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COMPONENTS AND VISUALS
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-IFVG Line — Marks confirmed inversion at close.
-Break-Even / Stop-Loss Lines — Calculated retrospectively for journal grading.
-Session High/Low Markers — London and Asia reference levels.
-Data Wicks — 8:30 NY “DATA.H/L” labels for event volatility.
-SMTs — Compares current symbol to correlated instrument for divergence confirmation.
-Checklist Panel — Tracks liquidity, momentum, HTF delivery, and SMT conditions.
-Setup Grade Display — Computes qualitative score (A+ to C) based on met conditions.
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INPUT CATEGORIES
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General — Detection mode, ATR strictness, bias filter, long/short window.
Liquidity — Automatic or manual timeframe alignment, session visuals.
FVG — Color themes, label sizes, inversion color change, HTF inclusion.
Entry / Limits — Enable or hide Entry, Break-Even, and Stop-Loss levels.
Alerts — Individual toggles for IFVG formation, session sweeps, multi-TF inversions, and invalidations.
Display — Info Box, relationship table, and grade styling.
All alerts output plain text messages only and do not execute orders.
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ALERT FRAMEWORK
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When enabled, alerts may notify for:
-Potential inversion detected.
-Confirmed IFVG formation.
-Liquidity sweeps (high/low or session).
-Multi-time-frame inversion.
-Invalidation or close warning.
-Alerts serve as educational markers only, not trade triggers.
The user will have the ability to create custom messages for each of these alert events.
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USAGE GUIDELINES
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iFVG Ultimate+ is suited for review and documentation of displacement-based price behavior.
Recommended educational workflows:
-Annotate IFVG events and review delivery into PD Arrays.
-Analyze frequency by session or timeframe.
-Assess how often IFVGs complete versus invalidate.
-Teach ICT-style liquidity mechanics in mentorship or training contexts.
-The indicator works across forex, futures, and crypto markets.
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OPERATIONAL NOTES AND LIMITATIONS
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-HTF calculations finalize on bar close (no look-ahead).
-ATR filter strength affects small-gap visibility.
-Session windows use New York time.
-Break-Even and Stop-Loss lines are visual aids only.
-Performance depends on chart density and bar count.
-No strategy module or backtest engine is included.
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ORIGINALITY AND PROTECTION
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iFVG Ultimate+ | DodgysDD integrates multiple independent systems into a single engine:
-PD Array context alignment with liquidity tracking.
-Dynamic session detection and macro data integration.
-Sequential IFVG validation pipeline with grade assignment.
-Multi-time-frame SMT confirmation module.
-Structured alerts and mitigation tracking.
The logic is entirely original, written in Pine v6, and protected as invite-only to preserve methodology integrity.
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ATTRIBUTION
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Core concepts such as Fair Value Gaps, Liquidity Sweeps, PD Arrays, and SMT Divergence are publicly taught within ICT-style market education. This implementation was designed and engineered by TakingProphets as iFVG Ultimate+ | DodgysDD, authored for TradingView publication by TakingProphets.
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TERMS AND DISCLAIMER
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This indicator is for educational and informational use only. It does not provide financial advice or predictive output. Historical patterns do not guarantee future results. All users remain responsible for their own decisions.Use of this script implies agreement with TradingView’s Vendor Requirements and Terms of Use.
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ACCESS INSTRUCTIONS
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Access is managed through TradingView’s invite-only framework. Users request access via private message to TakingProphets or access link
Custom Stock Indicator with Bollinger Bands9, 20, 50, 200 sma, Bollinger bands, MACD bullish crossover signal (blue dot) and candle counting
This TradingView indicator overlays on the price chart to provide trend analysis, volatility bands, momentum signals, and a consecutive candle counter for bullish sequences above the 9-period SMA. Key features include:
Moving Averages:
9-period SMA (green line).
50-period SMA (orange line).
200-period SMA (red line).
20-period SMA (yellow line, used as Bollinger Bands basis).
Bollinger Bands:
Standard 20-period SMA basis with 2 standard deviations.
Gray upper and lower bands with a semi-transparent gray fill (90% transparency) for volatility visualization.
MACD Bullish Crossover Signal:
Uses default MACD (12, 26, 9).
Tiny electric blue circles plotted below the bar (shifted down by 2 bars) when the MACD line crosses above the signal line, indicating potential bullish momentum.
Candle Counter for Bullish Sequence:
Activates only when SMA9 > SMA200 (alignment condition).
Starts/Increments: When the entire candle (including wicks: low > SMA9) fully closes above the SMA9.
Stops/Resets: When the entire candle (high < SMA9) fully closes below SMA9.
Straddling Candles (overlapping SMA9): Continues incrementing the count if the sequence has already started; otherwise, stays at 0.
Displays small white number labels (e.g., "1", "2") above the high of the current bar if count > 0, ensuring immediate visual feedback on historical and real-time bars.
The script is lightweight, focuses on bullish confirmation (e.g., for stocks like AMD), and avoids clutter by using tiny shapes and transparent fills. It evaluates conditions on the current bar for accurate historical counting without delays. No RSI signals are included, as per the latest updates. To use, paste into TradingView's Pine Editor and apply to a chart.
Candlestick Body Ratio with MAHow It Works (Brief Overview):
It computes the ratio of the candle’s body size to its total range (high–low).
• A ratio close to 1 means a strong, decisive candle.
• A ratio near 0 means a weak or indecisive candle (like a doji).
• Visual Output:
• Plots the body ratio as an orange line. (Black Histogram)
• Optionally marks strong-bodied candles with a green triangle above the bar. (Orange Diamond)
Why It’s Useful:
Helps identify momentum candles with conviction. Filters out weak signals in breakout or reversal strategies. Can be combined with divergence or volume tools for confluence.
Think Like A Market Maker: ThePipAssassin
Order Imbalance Radar
🧭 Overview
Order Imbalance Radar is a sophisticated volume–flow and imbalance detection system designed to visualize real-time shifts in buyer–seller dominance, absorption events, and market equilibrium. It combines delta-volume analysis, volatility filtering, and orderflow-style signals to help identify high-probability zones of reversal, continuation, or liquidity imbalance.
The indicator includes a top-right analytical dashboard, visual imbalance bubbles, and multiple overlays (absorption, overbought/oversold hotspots, equilibrium ribbon, liquidity sweeps, and session delta tracking).
⚙️ Core Logic & Signal Framework
1. Delta Volume Z-Score Model
Calculates delta (buy vs. sell volume) per bar based on directional close changes.
Uses a z-score normalization of delta over a user-defined lookback (zLookback) to detect statistically significant imbalances.
Highlights two tiers of imbalance:
Normal Imbalance (|z| ≥ zThresh1)
Big Imbalance (|z| ≥ zThresh2)
Filters results by requiring volume ≥ moving average × minVolMul.
Optionally limits signals to volatility squeeze conditions (via Bollinger Band width).
Visual Output:
✅ Green/red bar tints show intensity of buyer/seller imbalance.
🟢/🔴 Circle bubbles with Δ and Z-score values mark detected imbalances.
2. Absorption Detection
Detects bars where price rejects continuation despite high delta extremes, suggesting absorption of aggressive orders by passive liquidity.
Conditions:
|zΔ| exceeds absorbZ threshold
Candle body ≤ % of total range
Opposite wick ≥ % of range
Markers:
🟢 “ABSORB↑” below bars = buyer absorption (sellers absorbed)
🔴 “ABSORB↓” above bars = seller absorption (buyers absorbed)
3. OB/OS Hotspots
Integrates RSI and Bollinger Band positioning to identify volume-confirmed overbought/oversold zones.
Overbought → RSI ≥ rsiOB and price above upper band or high volume.
Oversold → RSI ≤ rsiOS and price below lower band or high volume.
Markers:
🔶 “OB” for overbought zones
🟩 “OS” for oversold zones
These can indicate short-term exhaustion points, particularly when confluenced with imbalance or absorption.
4. Liquidity Sweeps
Identifies stop-hunts / failed breakouts within recent swing lookback:
Sweep Up: Price makes a higher high but closes below previous swing → likely liquidity grab above highs.
Sweep Down: Price makes a lower low but closes above previous swing → liquidity grab below lows.
Markers:
“SW↑” (yellow) = bullish sweep
“SW↓” (yellow) = bearish sweep
5. Equilibrium Map & Ribbon
Analyzes rolling imbalance ratio (Δ / total volume) over a sliding window to gauge market equilibrium vs. imbalance bias.
Plots a dynamic ribbon above price scaled by ATR.
Ribbon color:
🟢 = buyer-dominant imbalance
🔴 = seller-dominant imbalance
Gray band marks the equilibrium zone (|imbalance| ≤ eqBand).
Fuchsia “FLIP” marker signals a change in imbalance polarity.
This provides a macro order-flow bias visualization.
6. Session Dashboard (Top-Right)
Compact dashboard showing real-time flow metrics within a defined trading session (e.g., 09:30–16:00):
Metric Description
Session Δ Total cumulative delta since session start
Bar Δ Current bar delta (buy vs. sell flow)
Bar Vol Bar volume relative to average
Absorb “BUY” / “SELL” / “—”
Hotspot “OB” / “OS” / “—”
Sweep “UP” / “DN” / “—”
Imb % / Eq Imbalance ratio & equilibrium state
Colors dynamically adapt to flow direction (green/red/fuchsia/gray).
7. CumDelta Line
Optional cumulative delta plot for continuous volume-flow tracking.
Helps confirm bias shifts and divergence vs. price.
🧩 Alerts
Pre-built alert conditions for all key events:
Buyer/Seller Imbalances
BIG Buyer/Seller Imbalances
Absorption (Buy/Sell)
Hotspot Overbought/Oversold
Liquidity Sweeps (Up/Down)
Equilibrium Flips
These allow automated alerts for advanced orderflow setups or backtesting triggers.
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NSR FVG High Time FramesIndicator Name : NSR FVG High Time Frames
Short Title : NSR FVGHTF
Description :The NSR FVG High Time Frames indicator identifies and visualizes Fair Value Gaps (FVGs) on higher timeframes (4-hour, Daily, and Weekly) directly on your chart. FVGs are price gaps formed between the high and low of non-consecutive candles, often indicating areas of market inefficiency that price may revisit. This indicator is designed for traders who incorporate multi-timeframe analysis into their strategies, providing a clear visual representation of bullish and bearish FVGs with customizable settings.
Unique Feature :Unlike traditional FVG indicators that mark a gap as closed when the current candle’s close crosses the gap’s boundaries, NSR FVG High Time Frames employs a distinctive closure logic. It allows an additional candle to determine whether the price re-enters the gap or continues beyond it. This approach provides a more nuanced assessment of gap closure, potentially reducing false signals by giving the market an extra candle to confirm its direction. This feature makes the indicator particularly suitable for traders seeking to validate FVG interactions with greater precision.
Key Features :
Multi-Timeframe Support : Detects FVGs on 4-hour, Daily, and Weekly timeframes, with options to enable or disable each timeframe.
Customizable Appearance : Users can adjust the visual style (Line, Dotted, Dashed) and colors for bullish and bearish FVGs, as well as enable/disable extension of FVG boxes to the right.
Flexible Lookback : Configurable lookback periods for entry (up to 10,000 candles) and FVG detection (up to 70 FVGs), allowing users to tailor the indicator to their trading style.
Minimum FVG Size : Set a minimum gap size (in ticks) to filter out insignificant FVGs, ensuring only meaningful gaps are displayed.
Closed FVG Removal : Option to automatically remove closed FVGs from the chart for a cleaner view.
Alert Integration : Generates alerts for new FVGs and changes in their status (e.g., verified, partial, closed), enabling traders to set up custom notifications.
How to Use :
Add to Chart : Apply the indicator to any chart. It works best on lower timeframes (e.g., 1H, 4H) to visualize higher-timeframe FVGs.
Configure Settings : Adjust the inputs in the settings panel:
Enable/disable 4-hour, Daily, or Weekly FVGs based on your analysis needs.
Set the lookback periods and minimum FVG size to match your trading strategy.
Customize colors and line styles for better chart readability.
Interpret FVGs :
Bullish FVGs (green boxes): Represent gaps where price may act as support, potentially attracting price back to the gap.
Bearish FVGs (red boxes): Represent gaps where price may act as resistance.
Boxes are drawn between the relevant high and low of the candles forming the FVG, with text labels indicating the timeframe (e.g., "4H", "D", "Weekly").
Monitor Closure : Watch for price interaction with FVGs. The indicator considers an FVG closed only after an additional candle confirms the price has moved beyond the gap or failed to re-enter it, unlike standard FVG indicators.
Set Alerts : Use the alert feature to receive notifications when new FVGs form or their status changes (e.g., "partial" or "closed").
Settings :
Entry Lookback (candles) : Number of candles to look back for FVG detection (default: 10,000).
Number of FVG to Lookback : Maximum number of FVGs to display (default: 70).
Minimum FVG Size : Minimum gap size in ticks (default: 5).
Remove Closed : Toggle to remove closed FVGs from the chart (default: true).
Show/Extend 4Hour/Daily/Weekly : Enable/disable FVGs for each timeframe and choose whether to extend boxes to the right.
Color and Style Options : Customize fill and border colors, and select line styles (Line, Dotted, Dashed) for each timeframe.
Use Cases :
Swing Trading : Identify potential support/resistance zones on higher timeframes for entry or exit points.
Price Action Analysis : Use FVGs to confirm market inefficiencies or reversal zones.
Multi-Timeframe Strategies : Combine with lower-timeframe indicators to align entries with higher-timeframe FVGs.
Notes :
The indicator is optimized for lower timeframes to display higher-timeframe FVGs. Avoid using it on Weekly or Monthly charts for Daily/Weekly FVGs to prevent overlap issues.
The unique closure logic may delay FVG closure signals compared to other indicators, which can help filter out premature closures but requires patience for confirmation.
Performance may vary on very low timeframes with large lookback periods due to the number of FVGs processed.
Disclaimer :This indicator is for informational purposes only and does not constitute financial advice. Always conduct your own analysis and test the indicator thoroughly before using it in live trading.
Arcane Market Structure + Key LevelsThe Arcane Market Structure + Key Levels script is built to help traders decode real-time structure shifts, key support/resistance levels, and market intent. This tool draws from the Arcane Model’s proprietary trading framework—refined over 7+ years of backtesting and live execution.
It detects:
• Highs/lows that define expansion, manipulation, and distribution cycles
• Dynamic support/resistance zones based on 15m fair value gaps
• Session-based levels and structure breaks for intraday context
Whether you’re trading Prop Firm or Live accounts, this script helps simplify decision-making by visualizing the cleanest levels and directional flows on your chart.
Use it to:
✅ Confirm entries near liquidity levels
✅ Spot structural breaks aligned with volume and price action
✅ Build confluence with ICT, FVG, or manipulation-based setups
For traders mastering the Arcane Model or building systematic edge, this is a must-have chart companion.
NFTs vs SOL - Momentum Divergence RadarSee when NFT activity (proxy volumes) leads or lags SOL momentum
About:
A TradingView indicator that normalizes SOL momentum and a composite NFT proxy volume into comparable z-scores, then plots their difference (divergence). You get zero-line cross signals (“lead/lag”) and a rolling correlation table to judge regime quality.
What it does (concept):
SOL side: Rate of Change of SOL (ROC(len_mom)) → standardized over len_z → smoothed (smooth) → sol_z.
NFT side: Weighted sum of proxy volumes (BLUR, LOOKS, TNSR, MAGIC, APE, optional ME & PENGU) → log() to tame skew → standardized over len_z → smoothed → v_z.
Divergence: div = v_z - sol_z.
div > 0 → NFT activity is stronger than SOL momentum (possible lead).
div < 0 → NFT activity weaker than SOL momentum (possible lag).
On-chart elements
Orange histogram: div (NFT volume Z − SOL momentum Z).
Purple line: v_z (NFT composite activity).
Blue line: sol_z (SOL momentum).
Green/Red triangles: Zero-line crosses of div → lead (up) / lag (down).
Top-right table: Rolling Pearson correlation (len_z) + list of active proxies (non-blank & weight ≠ 0).
How to use (quick start):
Add to chart on your timeframe (30m–1D are common).
Fill proxy symbols with exchange prefixes (e.g., KUCOIN:BLURUSDT, GATEIO:LOOKS_USDT, MEXC:TNSR_USDT, OKX:MAGIC-USDT). Leave ME/PENGU blank until you have the exact tickers.
Set weights to reflect relevance/liquidity (start at 1; set 0 to exclude).
Trade the crosses with context:
Lead (↑0): NFTs heating up vs SOL → look for long setups if price structure agrees.
Lag (↓0): NFTs cooling vs SOL → reduce risk/hedge or look for shorts in downtrends.
Consult correlation:
High (+0.5~1): Both move together; rely more on cross timing than magnitude.
Low/negative: Decoupling regime; divergence magnitude gains importance.
Settings (what they mean):
SOL Symbol (sol_tkr) – Default BINANCE:SOLUSDT.
Proxy symbols (*_sym) – Enter exchange:pair strings; blank = ignored.
Weights (w_*) – Linear weights before log; emphasize reliable/liquid proxies.
Momentum Length (len_mom, 14) – ROC lookback for SOL. Bigger = smoother/slower.
Z-Score Length (len_z, 50) – Window for mean/stdev and correlation. Bigger = more stable normalization.
Smoothing (smooth, 5) – SMA applied to both z-scores to cut noise.
Preset ideas:
Swing (1D/4H): len_mom=14, len_z=100, smooth=7; BLUR=1, LOOKS=1, TNSR=1, MAGIC=0.5, APE=0.5.
Active (2H/1H): len_mom=10, len_z=50, smooth=5; same weights; alert on lead.
Reading the signals (playbook)
Fresh Lead (div crosses ↑0): Accumulation/participation rising; enter on pullbacks or structure breaks; confirm with volume/HTF trend.
Persistent Positive div: Momentum follow-through likely; trail stops below swing structure.
Fresh Lag (div crosses ↓0): Early cooling; take profits, tighten stops, or rotate.
Extreme bars (|div| > ~2): Outlier conditions; expect mean-reversion or breakout continuation—use price action to decide.
Re-cross whipsaws: Filter with higher smooth or require bar close confirmation.
Practical notes & tips:
Symbol validity: Always use exchange prefixes. If a token is unavailable on your TV plan/exchange, leave it blank (script treats it as zero volume).
Liquidity bias: Thin alts can distort the composite; set their weights low or 0.
Timeframe consistency: All request.security() calls run at the chart TF—no lower-TF aggregation.
Risk management: Treat crosses as context, not standalone buy/sell. Combine with S/R, trend filters, ATR stops, and volume profile.
Alerts (recommended):
Lead Cross Up: div crosses above 0.
Lag Cross Down: div crosses below 0.
Extreme Divergence: div > +2 or div < −2 (user threshold).
(Add alertcondition() lines if you want hard alerts.)
Troubleshooting
“Invalid symbol” popup: The input contains an unsupported/typo ticker. Use exact EXCHANGE:SYMBOL (e.g., OKX:MAGIC-USDT, not MAGICUSDT). Leave fields blank if unsure.
Flat/NaN early bars: Not enough history for len_z—normal; resolves as data accumulates.
No proxies listed in table: Ensure at least one proxy is non-blank and weight ≠ 0.
Limitations:
Proxy selection matters; if the set doesn’t reflect current NFT flow, signals degrade.
Z-scoring assumes local stationarity; regime shifts compress/expand readings.
Exchange symbol formats vary (- vs _); match TradingView exactly.
Changelog:
v1.2 (2025-10-14): Stability pass, proxy inputs default to blank to avoid symbol errors; refined table; kept v5 compatibility logic.
Лунный Индикатор с RSI и Импульсными АлертамиЭтот индикатор для TradingView сочетает астрономические данные о фазах Луны с техническим анализом (RSI) для выявления потенциальных импульсных движений на рынках, таких как S&P 500 (SPY) и Bitcoin (BTCUSD). Он основан на исторических корреляциях: повышенная доходность и импульсы вверх вокруг новой Луны, а также рост волатильности и риски падений около полнолуния. Индикатор помогает трейдерам получать алерты о возможных торговых возможностях, фильтруя сигналы через RSI для большей точности.
Ключевые функции:
Расчёт фазы Луны: Использует формулу Julian Day для определения текущей фазы (0% — новая Луна, 50% — полнолуние, 100% — следующая новая). Референс: новая Луна 6 января 2000 г. (JD ≈ 2451550.2597). Длина цикла — 29.530588 дней.
Визуализация:
Линия "Фаза Луны (%)" (синяя) отображает фазу в процентах.
Метки на графике: 🌑 Новая (0-3.3% или >96.7%), 🌓 1-я четверть (21.7-28.3%), 🌕 Полная (46.7-53.3%), 🌗 Последняя четверть (71.7-78.3%).
Линия RSI (оранжевая) для мониторинга перекупленности/перепроданности (период настраивается, по умолчанию 14).
Сигналы и алерты (на основе исторических паттернов):
Новая Луна: Алерты о потенциале импульса вверх, если RSI < 50 (не перекуплено). Исторически: выше доходность для S&P 500 и BTC (bullish реверсы). Фон — зелёный.
Полнолуние: Алерты о рисках волатильности/падения, если RSI > 50 (перекуплено). Исторически: sharp moves для BTC, ниже доходность для S&P. Фон — красный.
Алерты срабатывают на переходах фаз (с помощью ta.change), чтобы избежать повторений.
Настройки:
Период RSI: Изменяйте в input для адаптации под таймфрейм (рекомендуется D1 или H4 для лунных циклов).
Как использовать:
Добавьте индикатор на график SPY или BTCUSD.
Настройте алерты в TradingView для уведомлений.
Тестируйте на исторических данных: проверьте корреляции с реальными движениями цен.
Важно: Это не финансовая рекомендация. Рынки непредсказуемы; комбинируйте с другими инструментами. Точность фазы ±1 день; для идеальной — обновите ref_jd по актуальным данным.
Источник данных: Основан на астрономических формулах и исследованиях корреляций Луны с рынками (например, из JSTOR, SSRN). Разработано для образовательных целей.
Description of the Indicator: Lunar Indicator with RSI and Impulse Alerts
Overview:
This TradingView indicator combines astronomical data on lunar phases with technical analysis (RSI) to identify potential impulse movements in markets like S&P 500 (SPY) and Bitcoin (BTCUSD). It is based on historical correlations: higher returns and upward impulses around the new moon, as well as increased volatility and downside risks near the full moon. The indicator helps traders receive alerts about possible trading opportunities, filtering signals through RSI for greater accuracy.
Key Features:
Lunar Phase Calculation: Uses the Julian Day formula to determine the current phase (0% — new moon, 50% — full moon, 100% — next new moon). Reference: new moon on January 6, 2000 (JD ≈ 2451550.2597). Cycle length — 29.530588 days.
Visualization:
"Moon Phase (%)" line (blue) displays the phase in percentages.
Chart labels: 🌑 New (0-3.3% or >96.7%), 🌓 First Quarter (21.7-28.3%), 🌕 Full (46.7-53.3%), 🌗 Last Quarter (71.7-78.3%).
RSI line (orange) for monitoring overbought/oversold conditions (period adjustable, default 14).
Signals and Alerts (Based on Historical Patterns):
New Moon: Alerts for potential upward impulse if RSI < 50 (not overbought). Historically: higher returns for S&P 500 and BTC (bullish reversals). Background — green.
Full Moon: Alerts for volatility/downside risks if RSI > 50 (overbought). Historically: sharp moves for BTC, lower returns for S&P. Background — red.
Alerts trigger on phase transitions (using ta.change) to avoid repetitions.
Settings:
RSI Period: Adjust in input to adapt to timeframe (recommended D1 or H4 for lunar cycles).
How to Use:
Add the indicator to a SPY or BTCUSD chart.
Set up alerts in TradingView for notifications.
Test on historical data: check correlations with real price movements.
Important: This is not financial advice. Markets are unpredictable; combine with other tools. Phase accuracy ±1 day; for perfection — update ref_jd based on current data.
Data Source: Based on astronomical formulas and studies on lunar correlations with markets (e.g., from JSTOR, SSRN). Developed for educational purposes.