Riz Goldbach FrameworkRiz Goldbach Framework maps a dynamic dealing range and a set of Goldbach-derived price levels to structure intraday decision-making. It blends range math (PO3), level clustering, session weighting, volume/volatility context, and an explainable scoring engine that can issue BUY/SELL signals with risk levels (SL/TP). It is designed for discretionary traders who want rules-based context rather than a black box.
Core concepts (how it works)
1) PO3 Dealing-Range Engine
⦁ The script builds a tri-based PO3 range around current price (Auto or Manual).
⦁ It shifts the range when price “accepts” outside (close/wick—user selectable) and adapts width with ATR so the range expands in high volatility and tightens in low volatility.
⦁ From this range it computes mid, premium/discount halves, and sub-mids.
2) Goldbach Levels (structure map)
Within the active PO3 range, fixed percentages anchor recurring behaviors:
⦁ Rejection edges: 3%, 97%
⦁ Order-block tendency: 11%, 89%
⦁ FVG tendency: 17%, 83%
⦁ Liquidity void / expansion: 29%, 71%
⦁ Breaker band: 41%, 59%
⦁ Mitigation band: 47%, 53%
⦁ Equilibrium: 50%
⦁ Touch/near logic is tolerance-based (body-only optional). The script also counts confluence clusters (2=moderate, 3+=strong) near price.
3) Market elements the script tracks
⦁ Order Blocks (OB): detected after BOS behavior when price is sitting on OB-biased GB levels (11/89).
⦁ FVG: 3-bar gaps at FVG-biased levels (17/83) with optional “% fill” confirmation.
⦁ LV bars: wide-range, high-range bars around 29/71 for displacement/voids.
⦁ Equal Highs/Lows (EQH/EQL): tolerance with labeling for sweep risk.
⦁ Circuit Breaker (CB): zone seeded at 41/59. States: intact → broken → retest → revalidated/failed. A shaded band shows the active breaker zone.
⦁ Twin Towers (TT): equal-high/equal-low doublet with spacing/volume/RSI checks, then sweep-and-return into the breaker zone for confirmation.
4) Context & filters
⦁ Trend vs Range: DMI/ADX + EMA stack infer TREND/RANGE/TRANSITION and scale the required score.
⦁ MTF alignment: compares current PO3 halves vs HTF PO3 halves (user timeframe), rewarding alignment and flagging divergence.
⦁ Fib–Goldbach confluence: checks 61.8/38.2/78.6/127.2/161.8 against key GB levels for added weight.
⦁ Session weighting: Asia/London/NY bias different GB levels; weights are higher for London/NY.
⦁ Volume-weighted liquidity: tracks volume at EQH/EQL to flag “high-commitment” sweeps.
⦁ AMD cycle (smart): accumulation/manipulation/distribution estimated from ATR regimes, sweeps, BOS continuation, divergence and PO3 shifts.
⦁ Optional filters: HTF bias, SMT divergence via a second symbol, VSA volume emphasis, news blackout session.
5) Signal engine
⦁ Modes: MMxM, Trending, or Hybrid (auto switches depending on CB acceptance + ATR expansion).
⦁ A score (0–100) aggregates weighted conditions (GB touch/confluence, AMD alignment, CB state, TT, FVG/OB interaction, HTF bias, SMT, high-volume, RSI momentum).
⦁ Adaptive threshold raises/lowers requirements in TREND vs RANGE.
⦁ Outputs: BUY/SELL label with strength (WEAK/NORMAL/STRONG), a reasons string (e.g., GB+AMD+Breaker+TT+FVG+HTF+RSI), and risk levels:
⦁ SL: rejection/structure anchored (e.g., GB3/GB97 or recent swing ± ATR).
⦁ TP1: opposite breaker (41/59).
⦁ TP2: opposite FVG tendency (17/83).
⦁ Live RR displayed on label and plotted as dashed lines.
⦁ Cooldown, session/time, weekend, and volatility gates suppress poor-quality or clustered signals.
What you see on the chart
⦁ PO3 bands: High/Low/Mid lines plus background shading for Premium (bear tint), Discount (bull tint), Equilibrium (neutral).
⦁ Goldbach lines: Major structure (0/50/100) plus the functional GB set (11/17/29/41/47/53/59/71/83/89/3/97).
⦁ Blocks & gaps: OB lines, FVG boxes (extend right, fill progress), LV box, breaker zone band, and TT logic states.
⦁ CE/MT: Central equilibrium (~3.5%/96.5%) and mid-towers (25%/75%) trigger optional alerts.
⦁ Session overlays: Asia/London/NY (optional).
⦁ Opens: Daily/Weekly (optional).
⦁ Dashboard: PO3 value, Zone (Premium/Discount/Equilibrium), AMD phase, Session, Mode (MMxM/Trending/Hybrid), CB state, nearest GB tag, Market context (TREND/RANGE/TRANS), recent Events, and rolling win-rate tallies (signals/CB/TT) from the current chart session.
How to use it (workflow)
1. Pick a preset
⦁ Minimal: only core structure.
⦁ Standard: levels + dashboard.
⦁ Full: adds sessions + GBT window overlays.
2. Choose range logic
⦁ PO3 Auto is reactive and scales with ATR.
⦁ Manual PO3 is for precise range control.
3. Scope your bias
⦁ Confirm Zone (Premium/Discount), CB state, and AMD phase; check MTF row if enabled.
⦁ Strong setups usually appear when session-weighted GB levels + confluence ≥ 2 + CB revalidated + AMD = manipulation → distribution (short) or accumulation → manipulation (long).
4. Act on signals (optional)
⦁ When a label prints, read the factors string and score.
⦁ Use plotted SL/TP1/TP2 lines and RR.
⦁ Respect cooldown, news blackout, and volatility filter.
Inputs you might tweak
⦁ PO3: Auto/Manual, acceptance by Close vs Wick, adaptive widening/tightening.
⦁ Levels: Major-only vs All; tolerance %; wick vs body touches.
⦁ Signals: Mode, score threshold, cooldown, confirm on close.
⦁ CB/TT: breaker width %, spacing window & tolerance, suppress bars after TT.
⦁ Filters: HTF timeframe, SMT symbol, VSA on/off, news blackout session.
⦁ Visuals: colors, line opacity, label sizes, dashboard position/size.
⦁ FVG/LV/CE/MT: fill %, and per-event alerts.
Alerts available
⦁ BUY/SELL signal, PO3 shift, GB touch (with tag), CB broken/retest pass/fail, TT setup/confirmed, OB tagged, FVG formed/filled, LV expansion, CE/MT touches.
Limitations & notes
⦁ Signals are contextual—they depend on the active PO3, tolerance, filters, session weighting, and volatility regime.
⦁ HTF requests depend on broker/exchange data and the timeframe you assign; if HTF is empty or illiquid, features degrade gracefully but may be less informative.
⦁ Win-rate tallies are session-local (not a historical performance guarantee).
⦁ Parameter choices (e.g., tolerance, breaker width, thresholds) materially change behavior.
Disclaimer
This tool is for educational/informational purposes only. It does not constitute financial advice, an invitation to trade, or performance assurance. Markets involve risk—always test on replay/paper and manage risk independently.
Cerca negli script per "liquidity"
Wick Pressure Zones [BigBeluga]
The Wick Pressure Zones indicator highlights areas where extreme wick activity occurred, signaling strong buy or sell pressure. By measuring unusually long upper or lower wicks and mapping them into gradient volume zones , the tool helps traders identify levels where liquidity was absorbed, leaving behind footprints of supply and demand imbalances. These zones often act as support, resistance, or liquidity sweep magnets .
🔵 CONCEPTS
Extreme Wicks : Large upper or lower shadows indicate aggressive rejection — upper wicks suggest selling pressure, lower wicks suggest buying pressure.
Volumatic Gradient Zones : From each detected wick, the indicator projects a layered gradient zone, proportional to the wick’s size, showing where most pressure occurred.
Liquidity Footprints : These zones mark levels where significant buy/sell volume was executed, often becoming reaction points on future retests.
Automatic Expiration : Zones persist until price decisively trades through them, after which they are cleared to keep the chart clean.
🔵 FEATURES
Automatic Wick Detection : Identifies extreme upper and lower wick events using percentile filtering and Realative Strength Index.
Gradient Zone Visualization : Builds a 10-layer zone from the wick top/bottom, shading intensity according to pressure strength.
Volume Labels : Each zone is annotated with the bar’s volume at the origin point for added context.
Dynamic Zone Extension : Zones extend to the right as long as they remain relevant; once price closes through them, they are removed.
Support & Resistance Mapping : Upper wick zones (red) behave like supply/resistance, lower wick zones (green) like demand/support.
Clutter Control : Limits the number of active zones (default 10) to keep charts responsive.
Background Highlighting : Optional background shading when new wick zones appear (red for sell, green for buy).
🔵 HOW TO USE
Look for Upper Wick Zones (red) : Indicate strong selling pressure; watch for resistance, reversals, or liquidity sweeps above.
Look for Lower Wick Zones (green) : Indicate strong buying pressure; watch for support or liquidity sweeps below.
Trade Retests : When price returns to a zone, expect a reaction (bounce or rejection) due to leftover liquidity.
Combine with Context : Align wick pressure zones with HTF support/resistance, order blocks, or volume profile for stronger signals.
Use Volume Labels : High-volume wicks indicate more significant liquidity events, making the zone more likely to act as a strong reaction point.
🔵 CONCLUSION
The Wick Pressure Zones is a powerful way to visualize hidden liquidity and aggressive rejections. By mapping extreme wick events into dynamic, volume-annotated zones, it shows traders where the market absorbed heavy buy/sell pressure. These levels frequently act as magnets or turning points, making them valuable for timing entries, stop placement, or fade strategies.
SDRange+ [JJumbo]Introduction:
versatile and highly customizable tool crafted for traders who rely on precise price levels and Time-based analysis, with a special focus on the Overnight Session (ONS) range.
This indicator defaults to capturing the critical 6:00 AM to 9:00 AM Eastern Time overnight session window—a period often pivotal for setting the day's momentum and key price zones before regular trading hours (RTH) commence. However, its standout feature is the ability to define a custom session window, allowing traders to adapt the range to any preferred time period, making it suitable for various trading styles and market conditions beyond the standard overnight session.
Key features:
Range dynamics:
time based-based ranges (user-defined) with projections marking the exhaustion points and profit-taking/position-closing area of the range chosen.
Statistics calculated externally for the x0.5 and 1.33-1.66, when using specific time ranges (such as 6am to 9am range, Eastern Time) the projections functions as points of interest to frame your trades and position yourself in the right side of the market.
Sessions liquidity:
Pivot sessions automatically marking the user-defined swing high and low of the chosen sessions (such as Asia session high and low or London session high and low), this feature helps you display the the high and low of important sessions liquidity where stop hunts will form making them potential points of reversals or take profit levels.
Range levels and projections functions:
This tool will give you automatically all the levels you need to frame you set ups and have clear targets and areas of action, the 1.33-1.66 projections area derives from a mathematical calculation called "Rule of Thirds" where algorithms in funds sets logical profit-taking and position closing making price behave in the sense of retracing or reverting from said levels.
Range open (of the chosen range) often plays as level of action generating reactions to then distribute to our projections.
Inversely, the range open becomes our target after the range break when remaining un-tapped, statistically the retracement to range open (any range) once the range gets swept or broken has a very high hit percentage.
Additional customizable features:
How can traders use this framework and tool effectively in their trading:
Identify and trade reversals and breakouts effectively:
The idea behind the framework is to have two scenarios in play, the reversal trade (where we fade the range breakout and capitalize on the breakout failure targeting opposing levels of the breakout direction) or the breakout trades (where we anticipate early breakouts with the inner -range levels such as "range open or midpoint of the range" using the features in the tool as guidance.
Retracement/Reversal trades:
Utilize the 1.33-1.66 projection area to anticipate the reaction move, be it a retracement or a full reversal, it will either way give you the move needed to capitalize on it.
Terms & Conditions
Our charting tools are products provided for informational and educational purposes only and do not constitute financial, investment, or trading advice. Our charting tools are not designed to predict market movements or provide specific recommendations. Users should be aware that past performance is not indicative of future results and should not be relied upon for making financial decisions. By using our charting tools, the purchaser agrees that the seller and the creator are not responsible for any decisions made based on the information provided by these charting tools. The purchaser assumes full responsibility and liability for any actions taken and the consequences thereof, including any loss of money or investments that may occur as a result of using these products. Hence, by purchasing these charting tools, the customer accepts and acknowledges that the seller and the creator are not liable nor responsible for any unwanted outcome that arises from the development, the sale, or the use of these products. We hold no reimbursement, refund, or chargeback policy. Once these Terms and Conditions are accepted by the Customer, before purchase, no reimbursements, refunds or chargebacks will be provided under any circumstances.
By continuing to use these charting tools, the user acknowledges and agrees to the Terms and Conditions outlined in this legal disclaimer.
✅ Elev8+Overview:
The Elev8+ indicator is a multi-layered trading indicator designed to help traders identify high-probability reversal points and trend-following opportunities. By combining the Classic Elev8+ Reversal Indicator, the DI StdDev Filter, and EMA/BB Trend Fills, this indicator offers a powerful toolset for navigating volatile markets with increased accuracy.
Key Features and Logic:
Classic Elev8+ Reversal Logic:
Liquidity Sweep Signals: The indicator detects liquidity sweeps by identifying price action that breaks previous high/low points with significant volume. This is crucial for identifying strong reversal signals when the market is grabbing liquidity.
ADX Trend Filter: The ADX filter ensures that the indicator only triggers signals during strong trending conditions, reducing false signals in range-bound markets. It requires the DI+ to be greater than ADX and ADX to be above 25, confirming a trend.
Bollinger Band Wick Filter: This filter helps identify price action where wicks penetrate the outer Bollinger Bands (3 to 3.5 standard deviations), indicating a potential reversal after price extremes. This adds an extra layer of confirmation for a reversal.
DI StdDev Filter:
Volatility-Adjusted DI Filtering: The DI StdDev Filter adds a volatility component to the classic ADX strategy. It tracks the DI+ and DI- lines' standard deviation, ensuring that trend strength is not only above the threshold but also confirms significant deviations, marking high-probability trend shifts.
Dynamic Thresholds: The upper and lower thresholds for DI are dynamically adjusted based on standard deviations, enhancing the responsiveness of the indicator in fast-moving markets.
EMA and Bollinger Band Trend Fills:
EMA Trend Fill: The Elev8+ Indicator visually highlights trend direction using fast and slow EMAs. A bullish trend is indicated when the fast EMA is above the slow EMA, and a bearish trend is indicated when the fast EMA is below the slow EMA. The background is filled with a semi-transparent color to easily distinguish trending conditions.
Bollinger Band Zones: The fill between the outer Bollinger Bands is used to highlight extreme price levels. These areas often signal overbought or oversold conditions, which traders can use to confirm reversal signals.
How It Works:
The Elev8+ Indicator intelligently combines trend-following and counter-trend signals. When multiple conditions are met, such as a liquidity sweep in the opposite direction of the trend, a reversal is signaled. Traders will benefit from the following:
Buy Signal: When the conditions for a strong reversal align (liquidity sweep, low volume, and confirmed by DI StdDev or BB wick filters), a buy signal is triggered.
Sell Signal: Similarly, when bearish reversal conditions (liquidity sweep and overbought conditions) align with the DI StdDev or BB wick filters, a sell signal is triggered.
Why It's Unique:
Comprehensive Market Filters: The combination of liquidity sweeps, ADX trend strength, DI StdDev volatility filtering, and Bollinger Bands ensures the indicator provides high-quality, high-probability trade setups.
Dual Reversal and Trend Confirmation: By incorporating both trend-following (EMA fills) and reversal logic (liquidity sweeps, BB filters), this script can adapt to different market conditions, providing both trend continuation and counter-trend signals.
Customizable Inputs: Traders can fine-tune the indicator's behavior by adjusting various parameters such as ADX period, Bollinger Band standard deviation, and DI StdDev thresholds to better fit their trading style and timeframes.
How to Use:
Set Up the Indicator: Apply the Elev8+ Indicator to your chart and enable the Classic Elev8 and/or DI StdDev Filter depending on your trading preferences. You can also adjust the EMA Trend Fill for clearer trend visualization.
Monitor Signals: Pay attention to the buy and sell signals generated by the combination of liquidity sweeps, ADX filters, and volatility adjustments. Confirm trades with the EMA trend fill and Bollinger Band zones.
Adapt to Market Conditions: Customize the sensitivity of the indicator by adjusting the ADX and DI StdDev parameters, as well as the Bollinger Band settings to fit different market environments and volatility.
Chart Explanation:
The indicator includes:
Reversal and trend-following signals: Easily identifiable buy and sell signals represented by small up and down triangles.
EMA Trend Fill: A background color fill that shows the prevailing trend.
Bollinger Band Zones: Shaded areas indicating overbought or oversold conditions.
Adjustable Parameters: Users can toggle features and modify parameters to suit their trading strategy.
VP + Game Theory Integrated Strategy9s için DüşünceVP + Game Theory Integrated Strategy Indicator: Explanation and Working Logic
Hello! You can upload the provided Pine Script code to TradingView. This is compatible with Pine Script Editor (v6 version) – simply copy-paste it directly. The indicator's name is "VP + Game Theory Integrated Strategy," and since overlay=true, it will display on top of the price chart (over the candlesticks). Maximum boxes, lines, and labels are set to 500, so it handles dense charts without performance issues.
Below, I'll provide a detailed explanation of the indicator, its working logic, main components, and usage tips step by step. This indicator integrates Volume Profile (VP), Game Theory, and Wick (Candle Wick) Patterns to generate buy/sell signals. It aims to detect high-probability reversal points by analyzing market liquidity, herd behavior, and institutional movements. It's suitable for crypto, forex, or stock markets, but always backtest before using in live trading.
1. General Description
Purpose: This indicator combines volume-based analysis (Volume Profile), game theory elements (herd behavior, Nash equilibrium, contrarian strategies), and candle wick patterns. It identifies strong resistance/support levels (POC, VAH/VAL, liquidity zones) and generates "Power" signals based on them. Signals are shown with labels, lines, and alerts for buy (green) or sell (red).
Key Features:
Volume Profile (VP): Calculates high-volume areas (POC: Point of Control, the highest volume level; VAH/VAL: Value Area High/Low) and displays them on the chart.
Game Theory (GT): Models the market as "players" (retail herd, institutions). Detects herd buying/selling panics and generates contrarian signals.
Wick-Based Signals: Captures reversals with large wicks. Applies strict criteria for "Power" and "Ultra Power" levels.
Market Maker (MM) Elements: Monitors liquidity traps and institutional volume spikes.
Visualization: Nash bands, liquidity boxes, info table (top-right), background colors, and alerts.
Signal Types: Normal, Power, Ultra Power, GT-confirmed. Signals are limited (max 1-5 per zone) with a minimum wait time (40 bars).
Input Parameters: Grouped into 3 sections (GT, Wick, VP, MM). Default values are balanced, but customizable (e.g., strictMode=true makes it more selective).
Warning: This is an indicator, not a full strategy. It includes alerts, but add stop-loss/take-profit for risk management. Use TradingView's Strategy Tester for backtesting.
2. Working Logic (Step by Step)
The indicator processes each bar (candle) as follows:
a. Basic Calculations
ATR (Average True Range): Measures volatility (20 periods). Candle size (high-low) must be at least ATR x 2.5 for signals to be valid.
Candle Components: Calculates candle body (close-open), upper/lower wick.
Volume Analysis: Average volume (SMA 20), detects spikes (based on threshold).
Trend Filter: EMAs (20/50/200) determine up/downtrend. In strict mode, it's stricter (strong uptrend: EMA20 > EMA50 > EMA200 and close > EMA20).
b. Game Theory (GT) Component
Herd Behavior: RSI (14) overbought/oversold (70/30) + volume spike + momentum detects it. Herd buying: Overbuying frenzy (red background). Herd selling: Selling panic (green background).
Institutional Flow: Volume > average x 2.5 + Accumulation/Distribution (AD) indicator. Accumulation: Institutions buying (strengthens buy signals). Distribution: Selling (strengthens sell).
Liquidity Traps: In the last 50 bars, if a new high/low is broken but close pulls back + volume spike = Trap (up/down).
Smart Money: Intra-candle movement (close-open)/(high-low) x volume. Positive = Smart money inflow.
Nash Equilibrium: Price mean (SMA 100) ± deviation (stdev x 0.02). In equilibrium: Normal. Above: Sell potential. Below: Buy. Bands are optionally shown.
GT Signals:
Contrarian: Herd selling + accumulation = Buy.
Momentum: Below Nash + positive smart money = Buy (opposite for sell).
Nash Reversion: Below Nash + rising close + volume = Buy.
Power Signal: At least 3 GT signals (min_signals_for_power=3) + volume confirmation = Power GT buy/sell. Can show only GT-confirmed signals (show_gt_only_signals=true).
c. Volume Profile (VP) Component
Calculation: For the last 100 bars (vpPeriod), divides the price range (high-low) into vpRows (24) rows. Distributes volume across rows.
POC (Point of Control): Highest volume level (orange line). Threshold 80% (pocThreshold).
Value Area (VA): 70% of total volume (valueAreaPercent). VAH (upper bound, blue dotted), VAL (lower bound).
High-Volume Area: Price near POC or volume > POC x 80% = Strong zone.
Visualization: Histogram boxes on the right (blue/orange). POC/VAH/VAL lines and labels.
d. Wick (Candle Wick) and Power Signals
Main Wick Criteria: Large candle (ATR x 2.5), small body (<8%), wick 8x body length (anaFitilCarpan) and 80% of candle (anaFitilYuzde). High volume + trend filter (downtrend for upper wick).
Signal Wick: More flexible for triggers (5x length, 70%).
Power/Ultra Power:
Power Sell: Main upper wick + near POC/VAH + MM volume (2.5x) + GT contrarian/momentum.
Power Buy: Similar for lower wick.
Super Wick: Power + institutional volume + strong momentum.
Ultra Power: Super + GT power (3/3) + distribution/accumulation + Nash deviation + liquidity trap. Rarest and strongest (fuchsia/lime color).
Signal Management: Detected wick level (high/low) is saved. Wait min 40 bars, max 1-5 signals per zone. When trigger candle arrives (price reaches level + long wick + close in opposite direction) = BUY/SELL plotshape.
e. Market Maker (MM) and Liquidity
MM Volume: Average x 2.5 + wick bonus (1.3x).
Liquidity Zones: Saves last 20 high-volume highs/lows. Shown as boxes on chart (red/green, lasting 200 bars).
Traps: Integrated with GT, strengthens power signals.
f. Visualization and Alerts
Background: Ultra Power (fuchsia/lime), Power GT (red/green), Herd (red/green).
Lines: Active resistance/support (dashed, colored).
Table (Top-Right): Resistance/support levels, remaining signals, POC/VAH/VAL, GT status (herd, institutional, Nash, signal strength), volume/liquidity.
Alerts: For Ultra Power, GT Power, Super Wick, normal signals. Messages include level/price.
g. Filters and Options
Strict Mode: Stricter (higher volume 1.5x, strong trend, RSI filter).
Require Volume Confirmation: Mandatory volume check.
Only Show Power Signals: Display only power/ultra.
Require Ultra Power: Strictest, only ultra.
3. Usage Tips
Chart Timeframe: H1-D1 for medium-long term. Shorter frames (M1-M5) may produce too many signals.
Settings:
StrictMode=true: Fewer but higher-quality signals.
Use_game_theory=false: Use only VP + Wicks.
ShowVP=false: Hide histogram to reduce clutter.
Strategy Integration: Filter BUY/SELL with EMAs. Stop-loss: ATR x 1-2, Take-profit: POC/VAH levels.
Backtesting: Convert to strategy in TradingView (use alertconditions). Test on historical data.
Risk: Designed for market manipulation (MM traps), but no indicator is 100% accurate. Apply capital management.
Troubleshooting: If errors (e.g., vpInitialized=false), increase period or refresh chart.
This indicator is complex but powerful – blending VP for volume zones with GT for psychology. If you have questions or need setting changes, let me know!
Fractal Market Model [BLAZ]Version 1.0 – Published August 2025: Initial release
1. Overview & Purpose
1.1. What This Indicator Does
The Fractal Market Model is an original multi-timeframe technical analysis tool that bridges the critical gap between macro-level market structure and micro-level price execution. Designed to work across all financial markets including Forex, Stocks, Crypto, Futures, and Commodities. While traditional Smart Money Concepts indicators exist, this implementation analyses multi-timeframe liquidity zones and price action shifts, marking potential reversal points where Higher Timeframe (HTF) liquidity sweeps coincide with Low Timeframe (LTF) price action dynamics changes.
Snapshot details: NASDAQ:GOOG , 1W Timeframe, Year 2025
1.2. What Sets This Indicator Apart
The Fractal Market Model analyses multi-timeframe correlations between HTF structural events and LTF price action. This creates a dynamic framework that reveals patterns observed historically in price behaviour that are believed to reflect institutional activity across multiple time dimensions.
The indicator recognizes that markets move in fractal cycles following the AMDX pattern (Accumulation, Manipulation, Distribution, Continuation/Reversal). By tracking this pattern across timeframes, it flags zones where price action dynamics characteristics have historically shown shifts. In the LTF, the indicator monitors for price closing through the open of an opposing candle near HTF swing highs or lows, marking this as a Change in State of Delivery (CISD), a threshold event where price action historically transitions direction.
Practical Value:
Multi-Timeframe Integration: Connects HTF structural events with LTF execution patterns.
Fractal Pattern Recognition: Identifies AMDX cycles across different time dimensions.
Price Behavior Analysis: Tracks CISD patterns that may reflect historical shifts in order flow commonly associated with institutional activity.
Range-Based Context: Analyses price action within established HTF liquidity zones.
1.3. How It Works
The indicator employs a systematic 5-candle HTF tracking methodology:
Candles 0-1: Accumulation phase identification.
Candle 2: Manipulation detection (raids previous highs/lows).
Candle 3: Distribution phase recognition.
Candle 4: Continuation/reversal toward opposite liquidity.
The system monitors for CISD patterns on the LTF when HTF manipulation candles close with confirmed sweeps, highlighting zones where order flow dynamics historically shifted within the established HTF range.
Snapshot details: FOREXCOM:AUDUSD , 1H Timeframe, 17 to 28 July 2025
Note: The Candle 0-5 and AMDX labels shown in the accompanying image are for demonstration purposes only and are not part of the indicator’s actual functionality.
2. Visual Elements & Components
2.1. Complete FMM Setup Overview
A fully developed Fractal Market Model setup displays multiple analytical components that work together to provide comprehensive market structure analysis. Each visual element serves a specific purpose in identifying and tracking the AMDX cycle across timeframes.
2.2. Core Visual Components
Snapshot details: FOREXCOM:EURUSD , 5 Minutes Timeframe, 27 May 2025.
Note: The numbering labels 1 to 14 shown in the accompanying image are for demonstration purposes only and are not part of the indicator’s actual functionality.
2.2.1. HTF Structure Elements
(1) HTF Candle Visualization: Displays the 5-candle sequence being tracked (configurable quantity up to 10).
(2) HTF Candle Labels (C2-C4): Numbered identification for each candle in the AMDX cycle.
(3) HTF Resolution Label: Shows the higher timeframe being analysed.
(4) Time Remaining Indicator: Countdown to HTF candle closure.
(5) Vertical Separation Lines: Clearly delineates each HTF candle period.
2.2.2. Key Price Levels
(6) Liquidity Levels: High/low levels from HTF candles 0 and 1 representing potential target zones.
(7) Sweep Detection Lines: Marks where previous HTF candle extremes have been breached on both HTF and LTF.
(8) HTF Candle Mid-Levels: 50% retracement levels of previous HTF candles displayed on current timeframe.
(9) Open Level Marker: Shows the opening price of the most recent HTF candle.
2.2.3. Institutional Analysis Tools
(10) CISD Line: Marks the Change in State of Delivery pattern identification point.
(11) Consequent Encroachment (CE): Mid-level of identified institutional order blocks.
(12) Potential Reversal Area (PRA): Zone extending from previous candle close to the mid-level.
(13) Fair Value Gap (FVG): Identifies imbalance areas requiring potential price revisits.
(14) HTF Time Labels: Individual time period labels for each HTF candle.
2.3. Interactive Features
All visual elements update dynamically as new price data confirms or invalidates the tracked patterns, providing real-time market structure analysis across the selected timeframe combination.
3. Input Parameters and Settings
3.1. Alert Configuration
Setup Notifications: Users can configure alerts to receive notifications when new FMM setups form based on their selected bias, timeframes, and filters. Enable this feature by:
Configure the bias, timeframes and filters and other settings as desired.
Toggle the "Alerts?" checkbox to ON in indicator settings.
On the chart, click the three dots menu beside the indicator's name or press Alt + A.
Select "Add Alert" and click “Create” to activate the alert.
3.2. Display Control Settings
3.2.1. Historical Setup Quantity
Setup Display Control: Customize how many historical setups appear on the chart, with support for up to 50 combined entries. The indicator displays both bullish and bearish FMM setups within the selected limit, including invalidated scenarios. For example, selecting "3 setups" will display the most recent combination of bullish and bearish patterns based on the model's detection logic.
Snapshot details: BINANCE:BTCUSD , 1H Timeframe, 27-Feb to 11-Mar 2025
Note: The labels “Setup 1, 2 & 3: Bullish or Bearish” shown in the accompanying image are for demonstration purposes only and are not part of the indicator’s actual functionality.
3.2.2. Directional Bias Filter
Bias Filter: Control which setups are displayed based on directional preference:
Bullish Only: Shows exclusively upward bias setups.
Bearish Only: Shows exclusively downward bias setups.
Balanced Mode: Displays both directional setups.
This flexibility helps align the indicator's output with broader market analysis or trading framework preferences. The chart below illustrates the same chart in 3.2.1. but when filtered to show only bullish setups.
Snapshot details: BINANCE:BTCUSD , 1H Timeframe, 27-Feb to 11-Mar 2025
Note: The labels “Setup 1, 2 & 3: Bullish” shown in the accompanying image are for demonstration purposes only and are not part of the indicator’s actual functionality.
3.2.3. Invalidated Setup Display
Invalidation Visibility: A setup becomes invalidated when price moves beyond the extreme high or low of the Manipulation candle (C2), indicating that the expected fractal pattern has been disrupted. Choose whether to display or hide setups that have been invalidated by subsequent price action. This feature helps maintain chart clarity while preserving analytical context:
Amber Labels: Setups invalidated at Candle 3 (C3).
Red Labels: Setups invalidated at Candle 4 (C4).
Count Preservation: Invalidated setups remain part of the total setup count regardless of visibility setting.
Below image illustrates balanced setups:
Left side: 1 bearish valid setup, with 2 invalidated setups visible.
Right side: 1 bearish valid setup, with 2 invalidated setups hidden for chart clarity.
Snapshot details: FOREXCOM:GBPJPY , 5M Timeframe, 30 July 2025
3.3. Timeframe Configuration
3.3.1. Multi-Timeframe Alignment
Custom Timeframe Selection: Configure preferred combinations of Higher Timeframe (HTF) and Lower Timeframe (LTF) for setup generation. While the indicator includes optimized default alignments (1Y –1Q, 1Q –1M, 1M –1W, 1M –1D, 1W–4H, 1D–1H, 4H-30m, 4H –15m, 1H –5m, 30m –3m, 15m –1m), users can define custom HTF-LTF configurations to suit their analysis preferences and market focus.
The image below illustrates two different HTF – LTF configuration, both on the 5 minutes chart:
Right side: Automatic multi-timeframe alignment, where the indicator autonomously sets the HTF pairing to 1H when the current chart timeframe is the 5 minutes.
Left side: Custom Timeframe enabled, where HTF is manually set to 4H, and LTF is manually set to 15 minutes, while being on the 5 minutes chart.
Snapshot details: FOREXCOM:GBPJPY , 5 minutes timeframe, 30 July 2025
3.3.2. Session-Based Filtering
Visibility Filters: Control when FMM setups appear using multiple filtering options:
Time-Based Controls:
Show Below: Limit setup visibility to timeframes below the selected threshold.
Use Session Filter: Enable session-based time window restrictions.
Session 1, 2, 3: Configure up to three custom time sessions with start and end times.
These filtering capabilities help concentrate analysis on specific market periods or timeframe contexts.
The image below illustrates the application of session filters:
Left side: The session filter is disabled, resulting in four setups being displayed throughout the day—two during the London session and two during the New York session.
Right side: The session filter is enabled to display setups exclusively within the New York session (8:00 AM – 12:00 PM). Setups outside this time window are hidden. Since the total number of setups is limited to four, the indicator backfills by identifying and displaying two qualifying setups from earlier price action that occurred within the specified New York session window.
Snapshot details: COMEX:GC1! , 5 minutes Timeframe, 29 July 2025
3.4. Annotation Systems
3.4.1. Higher Timeframe (HTF) Annotations
HTF Display Control: Enable HTF visualization using the "HTF candles" checkbox with quantity selector (default: 5 candles, expandable to 10). This displays all HTF elements detailed in the Visual Components section 2.2. above.
Customisation Categories:
Dimensions: Adjust candle offset, gap spacing, and width for optimal chart fit.
Colours: Customize body, border, and wick colours for bullish/bearish candle differentiation.
Style Options: Control line styles for HTF opens, sweep lines, and equilibrium levels.
Feature Toggles: Enable/disable Fair Value Gaps, countdown labels, and individual candle labelling.
All HTF annotation elements support individual styling controls to maintain visual clarity while preserving analytical depth. The image below shows two examples: the left side has customized styling applied, while the right side shows the default appearance.
Snapshot details: CME_MINI:NQ1! , 5 minutes Timeframe, 29 July 2025
3.4.2. Lower Timeframe (LTF) Annotations
LTF Display Control: Comprehensive annotation system for detailed execution analysis, displaying all LTF elements outlined in the Visual Components section 2.2. above.
Customization Categories:
Core Elements: Control HTF separation lines, sweep markers, CISD levels, and candle phase toggles (C2, C3, C4) to selectively show or hide the LTF annotations for each of these specific HTF candle phases.
Reference Levels: Adjust previous equilibrium lines, CISD consequent encroachment, and HTF liquidity levels.
Analysis Tools: Enable potential holding area (PHA) markers.
Styling Options: Individual visibility toggles, colour schemes, line styles, and thickness controls for each element.
All LTF components support full customization to maintain chart clarity while providing precise execution context. The image below shows two examples: the left side has customized styling applied, while the right side shows the default appearance.
Snapshot details: TVC:DXY , 5 minutes Timeframe, 28 July 2025
3.5. Performance Considerations
Higher setup counts and extended HTF displays may impact chart loading times. Adjust settings based on device performance and analysis requirements.
4. Closed-Source Protection Justification
4.1. Why This Indicator Requires Protected Source Code
The Fractal Market Model is the result of original research, development, and practical application of advanced price action frameworks. The indicator leverages proprietary algorithmic systems designed to interpret complex market behavior across multiple timeframes. To preserve the integrity of these innovations and prevent unauthorized replication, the source code is protected.
4.1.1. Key Proprietary Innovations
Real-Time Multi-Timeframe Correlation Engine: A dynamic logic system that synchronizes higher timeframe structural behaviour with lower timeframe execution shifts using custom correlation algorithms, adaptive thresholds, and time-sensitive conditions, supporting seamless fractal analysis across nested timeframes.
CISD Detection Framework: A dedicated mechanism for identifying Change in State of Delivery (CISD), where price closes through the open of an opposing candle at or near HTF swing highs or lows after liquidity has been swept. This is used to highlight potential zones of directional change based on historical order flow dynamics.
Fractal AMDX Cycle Recognition: An engineered structure that detects and classifies phases of Accumulation, Manipulation, Distribution, and Continuation/Reversal (AMDX) across configurable candle sequences, allowing traders to visualize market intent within a repeatable cycle model.
Dynamic Invalidation Logic: An automated monitoring system that continually evaluates the validity of active setups. Setups are invalidated in real time when price breaches the extreme of the manipulation phase (C2), ensuring analytical consistency and contextual alignment.
4.1.2. Community Value
The closed-source nature of this tool protects the author’s original intellectual property while still delivering value to the TradingView community. The indicator offers a complete, real-time visual framework, educational annotations, and intuitive controls for analysing price action structure and historically observed patterns commonly attributed to institutional behaviour across timeframes.
5. Disclaimer & Terms of Use
This indicator, titled Fractal Market Model , has been independently developed by the author based on their own study, interpretation, and practical application of the smart money concepts. The code and structure of this indicator are original and were written entirely from scratch to reflect the author's unique understanding and experience. This indicator is an invite-only script. It is closed-source to protect proprietary algorithms and research methodologies.
This tool is provided solely for educational and informational purposes. It is not intended—and must not be interpreted—as financial advice, investment guidance, or a recommendation to buy or sell any financial instrument. The indicator is designed to assist with technical analysis based on market structure theory but does not guarantee accuracy, profitability, or specific results.
Trading financial markets involves significant risk, including the possibility of loss of capital. By using this indicator, you acknowledge and accept that you are solely responsible for any decisions you make while using the tool, including all trading or investment outcomes. No part of this script or its features should be considered a signal or assurance of success in the market.
By subscribing to or using the indicator, you agree to the following:
You fully assume all responsibility and liability for the use of this product.
You release the author from any and all liability, including losses or damages arising from its use.
You acknowledge that past performance—real or hypothetical—does not guarantee future outcomes.
You understand that this indicator does not offer personalised advice, and no content associated with it constitutes a solicitation of financial action.
You agree that all purchases are final. Once access is granted, no refunds, reimbursements, or chargebacks will be issued under any circumstance.
You agree to not redistribute, resell, or reverse engineer the script or any part of its logic.
Users are expected to abide by all platform guidelines while using or interacting with this tool. For access instructions, please refer to the Author's Instructions section or access the tool through the verified vendor platform.
H turnoverTrading Value refers to the total monetary amount of all transactions for a particular stock or the entire market over a specific period. It is calculated by multiplying the trading volume (the number of shares traded) by the price at which they were traded. For example, if 10,000 shares of a stock are traded in a day at an average price of 50,000 KRW, the trading value for that day would be 500,000,000 KRW.
Key points about trading value:
Market Activity and Liquidity: A high trading value indicates an active and liquid market.
Flow of Investment Funds: Increasing trading value suggests more money is flowing into the market or a particular stock.
Relationship with Price Movements: When both trading value and price rise together, it often signals strong buying interest. Conversely, significant price changes with low trading value may be less reliable.
Market Sentiment Indicator: Changes in trading value can reflect shifts in investor interest and sentiment.
In summary, trading value is the total amount of money exchanged in trades and serves as an important indicator of market activity, liquidity, and investor sentiment.
Smart Money Concepts IndicatorBEST ICT AND SMC INDICATOR
The **Smart Money Concepts Indicator** is designed to enhance trading decisions by incorporating key principles from Smart Money Concepts (SMC), focusing on the detection of market structure changes, liquidity zones, order flow, and order blocks. This indicator is particularly useful for traders looking to understand market dynamics and make informed trading decisions based on advanced market analysis.
#### Key Features:
1. **Break of Structure (BOS)**:
- Identifies upward and downward breaks in market structure, indicating potential trend reversals.
- Visual markers on the chart help traders spot these critical levels.
2. **Change of Character (CHOCH)**:
- Detects significant changes in market direction, highlighting potential shifts in momentum.
- Clearly labeled signals indicate when the market may be changing its character.
3. **Order Blocks**:
- Highlights order blocks, which are key areas where significant buying or selling has occurred.
- Provides visual cues for potential support and resistance zones.
4. **Liquidity Zones**:
- Marks liquidity zones, indicating areas where buy-side or sell-side liquidity may be targeted.
- Helps traders understand where the market might draw liquidity.
5. **Dynamic Take Profit and Stop Loss Levels**:
- Calculates and plots take profit (TP) and stop loss (SL) levels based on the Average True Range (ATR) for adaptive risk management.
- Customizable multipliers allow traders to adjust levels based on their risk tolerance.
6. **Order Flow Analysis**:
- Displays bullish and bearish order flow signals based on candle close relative to open.
- Provides insights into market sentiment and potential future price action.
#### How to Use:
- **Identifying Entry and Exit Points**: Use BOS and CHOCH signals to find potential entry points, while leveraging TP and SL levels for risk management.
- **Market Analysis**: Analyze order blocks and liquidity zones to make informed decisions on market behavior.
- **Visual Confirmation**: The clear visual cues provided by the indicator make it easier to interpret market movements and align trades with institutional behavior.
#### Conclusion:
The Smart Money Concepts Indicator is an invaluable tool for traders looking to enhance their understanding of market structure and make more informed trading decisions. By integrating advanced concepts like BOS, CHOCH, and liquidity analysis, this indicator helps traders navigate the complexities of the market with greater confidence.
Gross and Net LTF Volume + Trailing Percentile Sessions CVOL Hi Traders !
Gross volume, net lower time frame (LTF) volume and trailing session percentile Cumulative session volume:
The code calculates and plots the following volume indicators:
Volume (Gross Volume): The total volume for the current bar.
Net lower time frame volume: The difference between the buy and sell volumes of the lower time frame.
Cumulative daily session volume: The cumulative sum of the volume for the current day.
Percentile Cumulative daily session volume: The percentile of the cumulative daily session volume (calculated on a rolling basis).
The above indicators may be plotted exclusively or exclusively.
Why is Volume important:
Volume is the number of shares or contracts traded (of a financial asset) during a given time period (timeframe). It is a crucial indicator in technical analysis and quantitative trading, as volume helps in identifying
Price Confirmation: Volume confirms price movements by indicating the level of interest and participation in the market. When prices move significantly, accompanied by strong volume, it suggests that the movement is likely to be sustained. Conversely, if prices move without significant volume, it suggests that the movement may be temporary or lacking conviction.
Trend Strength: Volume can help identify the strength and direction of a trend. During an uptrend, increasing volume alongside price increases indicates that the upward momentum is gaining traction. Conversely, decreasing volume during an uptrend suggests that the upward momentum may be weakening.
Reversal Points: Sharp volume spikes in the opposite direction of the prevailing trend can signal a potential reversal point. This is because large volume indicates a significant shift in trader sentiment, suggesting that the trend may be changing direction.
Liquidity: High volume indicates that a security is liquid, meaning that it can be easily bought and sold without significant price impact. Liquidity is important for traders who want to execute large orders without significantly affecting the market price.
For example, suppose we want to identify positive price confirmation and positive trend strength, in this case we may use the CVOL (with trailing percentile).
The above image showcases price expansion conditional on high positive volume (increasing CVOL), The price expansion also exhibits Volume confluences (the colored bars).
Positive Confluence: Increase in positive total volume and an increase in positive lower time frame volume in relative and absolute terms.
Negative Confluence : Increase in negative total volume and an increase in negative lower time frame volume in relative and absolute terms.
Also note how the percentile color does not change, this means that the new volume bars are > than the highest percentile (80%) of volume values from the beginning of the session.
MILLION MEN - Capitulation Hunter What it is
MILLION MEN – Capitulation Hunter detects potential capitulation buy-limits using a confluence of momentum, volatility, and liquidity cues. It combines a 5-oscillator sentiment (RSI / Stoch / CCI / MFI / MACD histogram) with EMA200 trend context, Bollinger lower band proximity, volume climax, and an optional liquidity sweep check. When all filters align, the tool paints a BUY-LIMIT zone and proposes SL/TP levels.
How it works (high-level)
Oscillator sentiment (0–100%): counts how many of the five oscillators are bullish; capitulation candidate = 0%.
Trend & location: price below EMA200 and at/through BB lower band (basis ± mult×σ).
Selling climax: current volume ≥ X × volume SMA.
Liquidity sweep (optional): current low sweeps the prior N-bar low but closes back above it.
Confirmation: optional 0–2 extra bars (close > low and bullish bodies) before validating.
On validation, the script draws: BUY-LIMIT zone, dotted SL = zone bottom − ATR×mult, TP by R:R, and a mini sentiment table.
How to use
Look for zones after fast, extended selloffs into BB-L with volume spike and oscillators at 0%.
Place pending BUY-LIMIT inside the painted zone; use the plotted SL/TP as a starting point.
Works across timeframes; adjust volume multiplier, sweep length, confirmation bars, and ATR×SL to your market.
For added confluence: HTF structure, session/flow, or order-book/liquidity context.
Originality & value
Instead of a generic mashup, this tool enforces a strict confluence: (1) five-oscillator capitulation, (2) location at BB-L under EMA200, (3) volume climax, (4) optional sweep/recapture, and (5) bar-based confirmation—then auto-renders a practical trade plan (zone + SL/TP) and a readable sentiment table. All calculations are manual (no lookahead) and designed for clarity and execution.
Limitations & transparency
Capitulation can persist during strong downtrends; always use structure and risk management.
SL/TP visuals are hints, not orders; adapt to instrument volatility and liquidity.
Non-standard chart types aren’t supported for signals. No future data is used.
This is not financial advice; past performance does not guarantee future results.
(ملخص عربي )
مؤشر يلتقط سيناريوهات الاستسلام البيعي (Capitulation) عبر شروط متشددة: مزاج مؤشرات الزخم = 0%، السعر تحت EMA200 وعند/أسفل BB-L، ذروة فوليوم، واختياري سويب قيعان ثم ارتداد. عند التأكيد يرسم منطقة BUY-LIMIT ويقترح SL/TP. استخدمه مع هيكل السوق وإدارة المخاطر.
Prophet Model [TakingProphets]The Prophet Model — context pipeline (HTF PDA → Sweep → CISD → EPE) with dynamic risk
Purpose
Informational overlay for organizing institutional context in real time. It does not issue buy/sell signals and is not financial advice. Use it to structure analysis and checklist-driven execution—not to automate decisions.
What it does (modules at a glance)
Projects HTF PD Arrays (FVGs) onto your current chart and maintains only the nearest active array.
Validates directional bias using Candle Range Theory (CRT) on the same HTF.
Tracks Liquidity Sweeps (BSL/SSL) on HTF-aware pivots.
Confirms Change in State of Delivery (CISD) via displacement after a sweep.
Optionally refines entries with EPE when a local (internal) imbalance forms right after CISD.
Derives dynamic TP/BE/SL from measured displacement and recent extremes (not fixed distances).
Keeps a rules checklist (PDA tap → CRT → Sweep → CISD) and a relationships table (common HTF↔LTF pairings) to enforce process.
How it works (integration, not a mashup)
The modules are sequenced on one HTF time base so each step gates the next:
HTF PD Arrays (context zone). The model identifies valid HTF FVGs, filters tiny/weekend gaps, removes arrays that are invalidated by clean trades-through, and persists only the nearest PDA. This focuses attention on the institutional zone most likely to matter now.
CRT (directional gating). CRT on the same HTF establishes a provisional bias. No entries are implied; CRT simply permits or forbids the following steps. If CRT disagrees with the PDA context, the checklist remains incomplete.
Liquidity Sweep (event). The model tracks HTF-aware BSL/SSL pivots. A sweep only “counts” if it occurs in relation to the active PDA (tap/engagement). This prevents generic swing-high/low tags from triggering downstream logic.
CISD (confirmation). After a qualified sweep, the tool looks for displacement through the sequence open (the open of the impulsive leg beginning at or immediately after the sweep). Crossing that threshold confirms CISD, which marks a structural delivery shift consistent with the CRT bias.
EPE (refinement, optional). Immediately following CISD, the model scans for a fresh internal imbalance. If found quickly, it promotes that price area as the Easiest Point of Entry (EPE) and relabels the reference. If not, the CISD level remains primary.
Dynamic risk levels. TP/BE/SL are derived from the measured displacement around the CISD leg (e.g., BE ≈ 1× leg, TP ≈ 2.25× stretch; SL aligned to nearby structural extremes rather than a fixed pip offset). Levels update with structure and can display prices.
By chaining PDA → CRT → Sweep → CISD → (EPE) → Risk on a single HTF backbone, the tool creates a coherent workflow where later signals simply do not appear without earlier context. That’s why this is not a bundle of independent features: each module’s output is another module’s input.
Concepts & operational rules (high level)
HTF PD Arrays (FVGs)
Uses a standard three-candle gap definition on the chosen HTF, with filters for weekend/tiny gaps.
Inverse mitigation: if price trades cleanly through an array, the box is removed and internal state resets.
Nearest-PDA persistence: when multiple arrays exist, only the closest remains visible to reduce clutter.
Optional right-extension draws lingering influence X bars forward.
Candle Range Theory (CRT)
Bullish CRT: candle 2 wicks below candle 1’s low but closes back inside candle 1’s range, without taking its high.
Bearish CRT: candle 2 wicks above candle 1’s high but closes back inside candle 1’s range, without taking its low.
Role: bias validation paired to CISD when alignments match the active PDA.
Liquidity Sweeps (BSL/SSL)
Tracks candidate HTF pivots as buy-/sell-side liquidity.
A sweep registers when price takes a tracked pivot in the vicinity of the active PDA.
CISD (Change in State of Delivery)
Finds the sequence open for the impulsive leg that begins at/after the sweep.
Bearish path (after BSL sweep): CISD when close < sequence-open.
Bullish path (after SSL sweep): CISD when close > sequence-open.
On confirmation, the model plots a CISD line, checks the box in the Strategy Checklist, and triggers risk calc.
EPE (Easiest Point of Entry)
Within a short window after CISD, scans for a local imbalance; if present, promotes that level as EPE.
If no imbalance forms, CISD remains the operative reference.
Dynamic TP / BE / SL
Built from the measured leg around CISD (not fixed pip steps).
Approximate geometry: BE ≈ 1× leg, TP ≈ 2.25× leg; SL respects nearby structural extremes.
Labels and price markers are optional.
Architecture notes
Maps the current chart to a higher timeframe (e.g., 15s→M5, M1→M15, M5→H1, M15→H4, H1→D, H4→W, D→M).
Retrieves HTF OHLC/time with no lookahead so structures update intrabar until the HTF bar closes.
Periodic cleanup clears obsolete lines/labels/boxes to keep charts responsive.
Inputs (summary)
FVGs/PD Arrays: show/hide, colors, borders, label size, right-extension, nearest-only toggle.
CRT: enable/disable, label style.
Sweeps/CISD/EPE: enable/disable, line/label styles, EPE window.
Risk Levels (TP/BE/SL): enable each, price labels on/off, colors.
Tables/Checklist: strategy checklist on/off; relationships table (common HTF↔LTF pairings); text sizes and header colors.
Alerts (optional)
You may add alertconditions aligned with these events in your own workspace:
HTF PDA tap (bullish/bearish box)
CRT detected (bullish/bearish)
CISD confirmed (bullish/bearish)
EPE set/updated
Example messages:
“Prophet: CISD confirmed on {{ticker}} / {{interval}}”
“Prophet: EPE refined at {{close}} ({{time}})”
Notes & limitations
HTF values are provisional until the HTF bar closes; labels/levels can update while forming.
CISD/EPE are live conditions; they can form and later invalidate within the same HTF bar.
Liquidity relationships vary by market/regime; thin sessions and large gaps can affect clarity.
Educational tool only. No performance claims; no trade signals.
Originality & scope (for protected/invite-only publications)
A single HTF-synchronized engine sequences PDA → CRT → Sweep → CISD → (EPE) and withholds later steps unless prerequisites are met.
Nearest-PDA persistence and inverse-mitigation enforce focus on the most relevant institutional zone.
Displacement-based risk math ties TP/BE/SL to structure instead of static offsets.
Checklist + relationships table promote consistent, rules-first behavior and reduce discretionary drift.
Attribution: Concepts inspired by ICT (PD arrays/FVGs, CRT, sweeps, displacement, refined entries). Design, integration logic, and risk framework by TakingProphets.
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.
Indre likviditetDescription:
The Indre Likviditet (Inner Liquidity) indicator automatically detects and visualizes liquidity gaps / imbalance zones (often referred to as Fair Value Gaps) on any timeframe. It highlights price inefficiencies where the market moved too quickly in one direction, leaving untested areas of liquidity.
Key Features:
• Gap detection: Identifies bullish and bearish liquidity gaps based on three-candle logic.
• Multi-timeframe (MTF) mode: Option to detect gaps on the current timeframe, higher timeframe, or both simultaneously.
• Custom visuals: Bullish and bearish gaps are displayed as colored boxes, with optional midpoint lines. Colors for HTF vs current TF can be customized separately.
• Dynamic updates: Gaps shrink automatically as price partially retraces into them, and can be fully deleted when filled.
• Flexible fill logic: Choose whether gaps are considered “filled” once the midpoint is touched, or only on a complete fill.
• Labeling: Optional labels show which timeframe the gap belongs to.
• Auto-clean: Option to delete old gaps once filled, or keep them as historical references.
Use Case:
This tool helps traders quickly spot where imbalances exist in the market and track when they are filled. Liquidity gaps often act as magnets for price, making them useful areas for targeting entries, exits, or managing risk.
Dual-Frame Momentum OscillatorDual-Frame Momentum Oscillator (DFMO)
This is not just another oscillator. This is a confluence engine, built for the discerning trader who reads the story of price action and needs an objective tool to confirm the climax.
The Dual-Frame Momentum Oscillator was designed to solve a specific problem: how to differentiate a genuine, sustainable breakout from an exhaustive liquidity grab. It provides a visual confirmation for high-probability reversal and scalp setups by measuring momentum across two distinct time frames simultaneously.
This tool is for the trader who understands that indicators should not dictate trades, but rather confirm a well-defined thesis based on market structure, volume, and liquidity.
The Core Concept: Context Meets Trigger
The DFMO fuses a slow, methodical Stochastic with a hyper-sensitive RSI to give you a complete picture of momentum.
The Context (Slow Stochastic %K - default 40,4,4): This acts as your long-term momentum gauge. It tells you if the underlying trend is healthy or nearing exhaustion. A high reading suggests the market is overextended and vulnerable, while a low reading suggests the opposite.
The Trigger (Fast RSI - default 3): This is your immediate impulse reader. It measures the velocity and intensity of the current price thrust, making it incredibly sensitive to exhaustive moves, spikes, and bounces.
By themselves, they are useful. Together, they are formidable.
The Confluence Engine: Your Visual Edge
The true power of the DFMO lies in its "Confluence Engine." The indicator's background highlights in real-time when both oscillators are in agreement, visually flagging moments of maximum opportunity.
Bearish Confluence Zone (Red): The background turns red only when the Stochastic is overbought AND the RSI is overbought. This is your signal that the broader trend is exhausted and the current buying impulse has reached a climax. It is the ideal confirmation for a short entry following a liquidity sweep above a key high.
Bullish Confluence Zone (Green): The background turns green only when the Stochastic is oversold AND the RSI is oversold. This signals that the downtrend is tired and the immediate selling pressure is exhaustive, providing high-probability confirmation for a long entry at a key support level.
When these zones appear, the indicator is telling you that both the context and the trigger are aligned. This removes ambiguity and allows for decisive, confident execution.
Practical Application: The Liquidity Sweep
Imagine you're stalking a short on a futures contract like MCL or MES. You've marked the high of the day (HOD) as a key resistance level where liquidity is resting. You see a sharp, vertical impulse move that breaks the HOD, clearing out the stops.
Is this a real breakout, or is it a manipulation move—a classic liquidity grab?
You glance down at the DFMO. The moment price swept the high, the background flashed red. That's your objective confirmation. The slow Stoch was already overbought, and the fast RSI spiking confirmed the exhaustive, terminal nature of that price thrust. You now have the confidence to enter your short scalp, knowing you are aligned with the probable direction of the market's next move.
This is how you move from "feeling" the market to systematically executing a high-probability edge. This is how you aspire for greatness.
Add the Dual-Frame Momentum Oscillator to your toolkit and transform your ability to time entries with surgical precision.
Volume Spikes + Daily VWAP SD BandsVolume Spikes + Daily VWAP SD Bands
This indicator combines volume spike detection to help traders identify potential absorption zones with daily VWAP and standard deviation bands , key price levels, continuation opportunities, and possible institutional bias.
Features:
Volume Spike Detection
Highlights candles with unusually high volume relative to a configurable SMA.
Optional filters:
Local highs/lows only (Only Use Valid Highs & Lows)
Candle shapes: Hammer / Shooter only
Candle color match: bullish spikes on green, bearish on red
Plots small circles above/below bars for bullish and bearish volume spikes.
Alerts available for both bullish and bearish spikes.
Interpretation: Volume spikes at local highs/lows can indicate absorption, where one side absorbs aggressive buying/selling pressure.
Daily VWAP
Calculates volume-weighted average price (VWAP) for the current day.
Optionally shows previous day’s VWAP for reference.
Plot lines are customizable with optional circles on lines for visual clarity.
Labels on the last bar show exact VWAP values.
Institutional Bias Insight: Price above both current and previous VWAPs may indicate bullish positioning; price below both VWAPs may indicate bearish positioning. Many professional traders consider this a clue to institutional bias, but it’s not guaranteed. Always confirm with volume, delta, or orderflow analysis.
Standard Deviation Bands
Optional x1 and x2 SD bands around the daily VWAP.
Visual fill between bands shows price volatility zones.
Can be used to identify potential support/resistance or absorption zones.
Use Case: Price bounces off first SD band may indicate continuation signals, especially when volume spikes occur at those levels.
Customizable Visuals
Colors for bullish and bearish volume spikes
VWAP and SD band colors and thickness
Optional circles and filled bands for better readability
Alerts
Bullish / Bearish Volume Spikes
Supports TradingView alert system for automated notifications
Advanced Use Cases:
Combine with Cumulative Delta or Orderflow tools to confirm true absorption zones.
Identify high-volume rejection candles signaling possible trend continuation.
Use VWAP positioning relative to price to assess potential institutional bias, keeping in mind it is probabilistic, not guaranteed.
Visualize intraday VWAP levels and volatility with SD bands for better trade timing.
Settings: Fully customizable, including volume multiplier, SMA length, session filter, candle shape, color options, and VWAP/SD display preferences.
HyperFlowIntroduction
HyperFlow is a premium market structure and liquidity rotation model built around the principles of internal inefficiencies, tested imbalances, and delivery shifts. Drawing inspiration from ICT concepts, it provides a high-level framework for identifying smart money footprints and timing entries with precision.
Rather than forecasting direction, HyperFlow focuses on recognizing repeatable delivery behaviors — helping traders visually track liquidity shifts from internal ranges to external objectives with consistency.
Core Philosophy
Markets are governed by the logic of liquidity engineering — the search and destruction of internal inefficiencies (Fair Value Gaps), followed by continuations toward external liquidity.
Timeframes to use:
HTF -> LTF
5m -> 15s
15m -> 1m
1h -> 5m
4h -> 15m
Daily -> 1h
Weekly -> 4h
Monthly -> 1D
HyperFlow identifies these transitions by:
Detecting High Timeframe Fair Value Gaps (HTF FVGs) — structural imbalances created by displacement
Tracking Valid Tests of those FVGs — signaling willingness to respect internal structure
Filtering for Delivery Confirmations — only acting when price delivers with intent through reclaimed imbalances
Mapping Risk and Objective Zones — using recent swing structures to define stop and target logic rooted in market logic
All components are reactive, visual, and non-repainting — designed to highlight structure after it forms, not anticipate it prematurely.
Key Features
Internal Range Liquidity Zones: Cleanly marked HTF imbalances show where price may seek efficiency
Tested FVG Filtering: Signals only form on valid rebalances — we wait for proof, not potential
Shift in Delivery Conditions: Price must show intent to reclaim imbalance before any rotation is considered
Automatic Objective Mapping: Recent structural highs/lows are used to project stop and target zones automatically
Session Filters + Time Alignment: Restrict signals to high-probability hours or defined killzones
Minimal, High-Impact Visuals: Tested/untested FVGs are differentiated by transparency and tone, keeping your chart clean and focused
HyperFlow is built for:
Traders who understand price delivery theory
Analysts studying displacement → reversion → continuation
Those seeking higher timeframe bias alignment through tested structure
Users of ICT-based concepts who want a visual, rules-based companion
This is not a beginner's tool. It’s for those seeking repeatable execution through structure and refinement, not guesswork.
Terms and Conditions
Our charting tools are products provided for informational and educational purposes only and do not constitute financial, investment, or trading advice. Our charting tools are not designed to predict market movements or provide specific recommendations. Users should be aware that past performance is not indicative of future results and should not be relied upon for making financial decisions. By using our charting tools, the purchaser agrees that the seller and the creator are not responsible for any decisions made based on the information provided by these charting tools. The purchaser assumes full responsibility and liability for any actions taken and the consequences thereof, including any loss of money or investments that may occur as a result of using these products. Hence, by purchasing these charting tools, the customer accepts and acknowledges that the seller and the creator are not liable nor responsible for any unwanted outcome that arises from the development, the sale, or the use of these products. Finally, the purchaser indemnifies the seller from any and all liability. If the purchaser was invited through the Friends and Family Program, they acknowledge that the provided discount code only applies to the first initial purchase of any SMCapital product. The purchaser is therefore responsible for cancelling – or requesting to cancel – their subscription in the event that they do not wish to continue using the product at full retail price. If the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable. We hold no reimbursement, refund, or chargeback policy. Once these Terms and Conditions are accepted by the Customer, before purchase, no reimbursements, refunds or chargebacks will be provided under any circumstances.
By continuing to use these charting tools, the user acknowledges and agrees to the Terms and Conditions outlined in this legal disclaimer.
Candle Range DetectorCandle Range Detector
// Pine Script v6
// Detects candle-based ranges, mitigations, and sweeps with advanced logic
Overview
This indicator automatically detects price ranges based on candle containment, then tracks when those ranges are mitigated (broken) and when a sweep occurs. It is designed for traders who want to identify liquidity events and range breaks with precision.
How It Works
- Range Detection: A range is formed when a candle is fully contained within the previous candle (its high is lower and its low is higher). This marks a potential area of price balance or liquidity.
- Mitigation: A range is considered mitigated when price closes beyond its extension levels (configurable by normal or Fibonacci logic). This signals that the range has been invalidated or "taken out" by price action.
- Sweep Detection: After mitigation, the script watches for a sweep event: a candle that both trades through the range extreme and closes decisively beyond the log-mid of the candle itself. This is a strong sign of a liquidity grab or stop run.
- Alerts & Visuals: You can enable alerts and on-chart labels for sweeps. Only the most recent mitigated range can be swept, and each range can only be swept once.
- Timeframe Sensitivity: On weekly or monthly charts, a candle can both mitigate and sweep a range on the same bar. On lower timeframes, only one event can occur per bar.
Why It Works
- Candle containment is a robust way to identify natural price ranges and liquidity pools, as it reflects where price is consolidating or being absorbed.
- Mitigation marks the moment when a range is no longer defended, often leading to new directional moves.
- Sweeps are powerful signals of stop hunts or liquidity grabs, especially when confirmed by a close beyond the log-mid of the candle, indicating strong intent.
Visual Explanation
Tip: Use this tool to spot high-probability reversal or continuation zones, and to get alerted to key liquidity events in real time.
SiCInside Sweep Close (ISC):
This concept captures a specific price action behavior and can help refine trading strategies for better precision. Here's a detailed explanation:
Inside:
The closing price of the candle stays within the range of the previous candle.
This indicates a containment of price action, suggesting indecision or preparation for a significant move.
Sweep:
The wick of the candle takes out (or "sweeps") the low (or high) of the previous candle.
This sweep can trigger stop-losses of retail traders or activate pending orders, often used by smart money strategies.
Close:
The candle ultimately closes inside the range of the previous candle.
This close signifies that the sweep was a liquidity grab rather than a genuine breakout, providing an actionable trading signal.
How ISC Can Be Used in Trading:
Liquidity Grab Recognition:
ISC can indicate when liquidity is swept from the market, making it an ideal entry point for traders anticipating a reversal or continuation.
Smart Money Concept (SMC) Synergy:
If you follow SMC principles, ISC aligns with key concepts like liquidity sweeps, order blocks, and mitigation zones.
Risk Management:
By identifying the ISC setup, you can place tighter stop-loss levels just outside the sweep, optimizing risk-reward ratios.
Entry Signals:
When you spot an ISC, you can enter trades at the close of the candle, anticipating a move in the direction opposite to the sweep.
Example of ISC in Action:
Imagine a bearish candle:
The wick sweeps the low of the previous candle, possibly triggering stop-losses.
However, the close stays inside the previous candle’s range.
This setup might indicate a reversal, where price moves upward after grabbing liquidity.
Why This Name Works:
It’s concise, professional, and directly linked to the trading action you’re describing.
The short form, ISC, is easy to remember and discuss within trading circles or while teaching others.
It ties into widely known concepts like smart money, price action, and liquidity sweeps, making it relatable yet unique.
Does this align with how you envision using the concept? Let me know if you’d like more refinements or visual examples!
ICT Comprehensive IndicatorThe ICT Comprehensive Indicator is a robust tool designed to assist traders in applying key concepts from the Inner Circle Trader (ICT) methodology directly to their TradingView charts. This indicator integrates multiple ICT principles to provide a holistic view of the market, aiming to enhance trading analysis and decision-making.
Key Features:
Market Structure Analysis:
Swing Highs and Lows:
Automatically identifies and marks significant swing highs and lows.
Plots dotted lines at these levels to help visualize market structure and trend direction.
Red Lines: Indicate swing highs (potential resistance levels).
Green Lines: Indicate swing lows (potential support levels).
Liquidity Pools:
Highlights potential liquidity zones where stop orders may accumulate.
Marks previous swing highs and lows with small circles to identify areas institutions might target for liquidity.
Order Blocks Identification:
Bullish Order Blocks:
Detects the last down candle before a significant up move.
Draws solid green lines extended to the right, representing potential support zones.
Bearish Order Blocks:
Detects the last up candle before a significant down move.
Draws solid red lines extended to the right, representing potential resistance zones.
Fair Value Gaps (Imbalance):
Identifies and highlights gaps in price action where the market moved rapidly, leaving imbalances.
Draws semi-transparent purple boxes to indicate areas where the price may retrace to fill unfilled orders.
Time and Price Theory:
Trading Sessions Highlighting:
Allows selection of major trading sessions: London, New York, or Asian.
Highlights the chosen session on the chart with a semi-transparent blue background.
Helps focus analysis during periods of higher liquidity and volatility.
Risk Management Display:
Calculates and displays the risk amount per trade based on user-defined account size and risk percentage.
Shows a label on the chart with the calculated risk amount to aid in proper position sizing.
Custom Alerts:
Provides alerts for key events:
Formation of new swing highs or lows.
Identification of bullish or bearish order blocks.
Detection of fair value gaps (both up and down).
How to Use:
Add the Indicator to Your Chart:
Search for "ICT Comprehensive Indicator" in the TradingView Indicators library.
Add it to your chart to begin analyzing the market using ICT concepts.
Configure Settings:
Trading Session Selection:
Choose your preferred trading session in the settings to highlight it on the chart.
Risk Management Inputs:
Input your account size and desired risk percentage per trade to calculate the risk amount.
Analyze the Market:
Market Structure:
Use the swing highs and lows to understand the current market trend.
Liquidity Pools and Order Blocks:
Identify potential entry and exit points by observing marked liquidity zones and order blocks.
Fair Value Gaps:
Look for possible retracement areas where the price may return to fill imbalances.
Set Up Alerts:
Configure alerts based on the indicator's conditions to stay informed of significant market events without constant monitoring.
Benefits:
Holistic Analysis Tool:
Combines multiple ICT principles into one indicator for comprehensive market analysis.
Enhanced Decision-Making:
Aids in identifying high-probability trade setups by highlighting key market areas.
Time-Efficient:
Automates the detection of complex trading concepts, saving time on manual analysis.
Customizable:
Adjustable settings allow tailoring the indicator to individual trading styles and preferences.
Disclaimer:
This indicator is intended for educational and informational purposes only.
Trading involves significant risk, and past performance is not indicative of future results.
Always conduct thorough analysis and consult with a financial advisor before making trading decisions.
Note:
This indicator is inspired by ICT concepts but is not affiliated with or endorsed by Inner Circle Trader.
Users are encouraged to have a foundational understanding of ICT methodologies to fully benefit from this tool.
Currency Futures StatisticsThe "Currency Futures Statistics" indicator provides comprehensive insights into the performance and characteristics of various currency futures. This indicator is crucial for portfolio management as it combines multiple metrics that are instrumental in evaluating currency futures' risk and return profiles.
Metrics Included:
Historical Volatility:
Definition: Historical volatility measures the standard deviation of returns over a specified period, scaled to an annual basis.
Importance: High volatility indicates greater price fluctuations, which translates to higher risk. Investors and portfolio managers use volatility to gauge the stability of a currency future and to make informed decisions about risk management and position sizing (Hull, J. C. (2017). Options, Futures, and Other Derivatives).
Open Interest:
Definition: Open interest represents the total number of outstanding futures contracts that are held by market participants.
Importance: High open interest often signifies liquidity in the market, meaning that entering and exiting positions is less likely to impact the price significantly. It also reflects market sentiment and the degree of participation in the futures market (Black, F., & Scholes, M. (1973). The Pricing of Options and Corporate Liabilities).
Year-over-Year (YoY) Performance:
Definition: YoY performance calculates the percentage change in the futures contract's price compared to the same week from the previous year.
Importance: This metric provides insight into the long-term trend and relative performance of a currency future. Positive YoY performance suggests strengthening trends, while negative values indicate weakening trends (Fama, E. F. (1991). Efficient Capital Markets: II).
200-Day Simple Moving Average (SMA) Position:
Definition: This metric indicates whether the current price of the currency future is above or below its 200-day simple moving average.
Importance: The 200-day SMA is a widely used trend indicator. If the price is above the SMA, it suggests a bullish trend, while being below indicates a bearish trend. This information is vital for trend-following strategies and can help in making buy or sell decisions (Bollinger, J. (2001). Bollinger on Bollinger Bands).
Why These Metrics are Important for Portfolio Management:
Risk Assessment: Historical volatility and open interest provide essential information for assessing the risk associated with currency futures. Understanding the volatility helps in estimating potential price swings, which is crucial for managing risk and setting appropriate stop-loss levels.
Liquidity and Market Participation: Open interest is a critical indicator of market liquidity. Higher open interest usually means tighter bid-ask spreads and better liquidity, which facilitates smoother trading and better execution of trades.
Trend Analysis: YoY performance and the SMA position help in analyzing long-term trends. This analysis is crucial for making strategic investment decisions and adjusting the portfolio based on changing market conditions.
Informed Decision-Making: Combining these metrics allows for a holistic view of the currency futures market. This comprehensive view helps in making informed decisions, balancing risks and returns, and optimizing the portfolio to align with investment goals.
In summary, the "Currency Futures Statistics" indicator equips investors and portfolio managers with valuable data points that are essential for effective risk management, liquidity assessment, trend analysis, and overall portfolio optimization.
VAMSI ADVANCE Entry HelperThe "VAMSI Entry Helper" indicator is designed to assist traders in identifying potential entry points in the market by analyzing price equilibrium and liquidity equilibrium using a combination of Relative Strength Index (RSI) and moving averages. Here’s a detailed description of its components and functionality:
Components of the Indicator:
RSI (Relative Strength Index):
RSI Length: This parameter (rsiLengthInput) controls the period over which the RSI is calculated. It is set to 50 by default, but you can adjust it as needed.
RSI Source: The source of the price data for calculating the RSI, which is the closing price by default.
Moving Average (MA):
MA Type: You can choose between Simple Moving Average (SMA) and Exponential Moving Average (EMA) for smoothing the RSI values.
MA Length: This parameter (maLengthInput) controls the period over which the moving average of the RSI is calculated. It is set to 60 by default.
Functionality:
RSI Calculation:
The script calculates the RSI based on the selected source and length. RSI is a momentum oscillator that measures the speed and change of price movements and oscillates between 0 and 100.
The RSI calculation involves computing the average gains and losses over the specified period (rsiLengthInput), and then applying the RSI formula.
Moving Average of RSI:
After calculating the RSI, the indicator computes a moving average of the RSI values using the specified type (SMA or EMA) and length (maLengthInput). This smoothed RSI helps in identifying the equilibrium of liquidity.
Plots:
RSI Plot: The RSI values are plotted on the chart with a purple line (#4B0082), providing a visual representation of price equilibrium.
MA Plot: The moving average of the RSI is plotted with a black line, showing the smoothed trend of the RSI.
Middle Band: A horizontal line at the 50 level is plotted as a reference point, indicating the midpoint of the RSI scale. This can help in identifying overbought and oversold conditions.
Use Case:
Price Equilibrium: The RSI plot helps traders identify when the price is relatively strong or weak. RSI values above 70 may indicate an overbought condition, while values below 30 may indicate an oversold condition.
Liquidity Equilibrium: The moving average of the RSI provides a smoothed view of the RSI, helping traders see the overall trend of liquidity equilibrium.
Example Usage:
Entry Points: Traders might look for entry points when the RSI crosses above or below its moving average, indicating potential changes in momentum.
Overbought/Oversold Conditions: Traders can use the RSI values along with the middle band (50) to identify overbought (RSI > 70) and oversold (RSI < 30) conditions.
Customization:
RSI Length: Adjustable to fit different trading strategies and timeframes.
Source: You can change the source data for the RSI calculation (e.g., close, open, high, low).
MA Type and Length: You can choose between SMA and EMA and adjust the period to better fit your trading style.
This indicator provides a comprehensive tool for traders to analyze price and liquidity equilibrium, helping them make informed decisions about entry points in the market.
Sessions Lite [TradingFinder] New York, London, Asia, NYSE Forex🔵 Introduction
A trading session is one of the basic concepts in the financial market that refers to specific time periods. In fact, a session means hours during the day and night, during which traders in a certain part of the world conduct their transactions.
Although the "Forex" and "CFDs" market is open 24 hours a day and it is possible to trade in it, but in some hours the activity in this market decreases so much that many traders prefer not to trade and only watch the market. On the other hand, there are specific times when the market is very busy and dynamic, and many traders tend to trade during these hours of the day and night.
Trading sessions are usually divided into three main categories, which are "Asian", "European" and "North American" sessions. These trading sessions are also called the "Tokyo", "London" and "New York" sessions, respectively. But they also categorized these sessions in more detailed ways such as "Sydney session", "Shanghai session" or "NYSE session".
🔵 Tokyo trading session (Asian session)
After the weekend that happens on Saturday and Sunday, the Forex market starts with the Asian session. In this continent, most of the transactions are done in the Tokyo session, and for this reason, it is usually called the Asian session or the Tokyo session. However, other countries such as Australia, China and Singapore also do a lot of trading in this session.
The Tokyo session has a lower volume of transactions compared to the London and New York sessions, and therefore the liquidity is lower. In this session, most of the Forex currency pairs move in a price range. For this reason, different people use the ups and downs with the trading strategy in the range and get profit.
The low liquidity of the Tokyo session means that trading spreads are also higher during these hours. Besides, most of the transactions of this session are done in the early hours and at the same time as the planned news release.
In the Tokyo or Asia session, the best currency pairs to trade are the "Japanese yen", the "Australian dollar", and the "New Zealand dollar".
"Nikkei" index is also a good option for trading. If you trade in the Tokyo session, you should also be aware of the release of economic news and data from Australian, New Zealand and Japanese financial institutions.
🔵 London trading session (European session)
After the Asian session, it is time for the European session. In this period of time, transactions are very large and many European markets are involved. However, the European session is usually known as the London session.
Because of its specific time zone, London is not only known as the Forex trading center in Europe, but it is also known as the Forex trading center in the world. The London session overlaps with two other major trading sessions in the world, Asia and America. This means that most of the Forex transactions are done in this session. According to the latest statistics, 32% of Forex transactions are related to the London session, which shows that about a third of the activity performed in Forex takes place during this period.
This will increase the volume of Forex transactions and increase liquidity. An event that causes the spread of transactions to decrease. Of course, high liquidity also leads to greater volatility, which is desirable for many traders.
In the European session, the pound and euro currencies and the "DAX", "FTSE100", and "CAC40" indices are known as the best tradable assets. Also, traders of this session should pay attention to the news and data published by the "European Central Bank" and the "Bank of England". The news of countries like Germany, France and Italy are also very important.
🔵 American trading session (New York session)
When the New York session begins, several hours have passed since the end of the Tokyo session, but the European session is in the middle. In this session, they usually affect the financial activities carried out in America, but they also affect other countries such as Canada, Mexico and several South American countries.
The "US dollar" and stock indices such as "S&P", "Dow Jones" and "Nasdaq" are the most important assets that are traded in this session.
The early hours of the American session have a lot of liquidity and volatility due to the overlap with the European session, but with the end of the European session, the activity in the American session also decreases.
You can trade all major Forex currency pairs in the New York trading session. In this session, the "Federal Reserve", as the most important central bank in the world, is the institution that you should pay attention to its news and data.
The trading session indicator is an analytical tool in the financial markets that is used to display and analyze specific trading periods during a day. These indicators are generally useful for determining support and resistance levels during any trading session and for detecting different trading patterns.
For example, usually these indicators display the open and close price levels, the highest and lowest prices during a trading session. Also, you may notice various price patterns such as price channels, price phase phases and market trend changes during different trading sessions using these indicators.
🔵 cause of construction
In particular, the session light indicator version is designed and built for those traders who use many different tools on their chart at the same time. These traders can include "Volume Traders", "ICT traders", "Day Traders" and... These individuals can use "Session Lite" without disturbing the display of their other trading tools such as "Order Blocks", "Liquidity", "Zigzag", "FVG" etc.
But in general, there are several reasons for making tools like trading session indicators in financial markets, some of which include the following :
1. Analysis of specific time frames : Some traders and investors like to consider specific time frames for price analysis and review. For example, analyzing price changes during each trading session can help analyze trading patterns and identify trading opportunities.
2. Recognize different price patterns : Different price patterns may be observed during trading sessions. Trading session indicators can help to make better trading decisions by analyzing these patterns and their strengths and weaknesses.
3. Identifying Support and Resistance Levels : These tools may help to identify support and resistance levels during any trading session which can be helpful in deciding whether to enter or exit the market.
🔵 How to use
The Session Lite indicator displays 8 sessions by default. Asia session, Sydney session, Tokyo session, Shanghai session, Europe session, London session, New York session and New York Stock Exchange (NYSE) session are the sessions that are displayed.
You can activate or deactivate the display of each session by using the tick button next to the name of each session.
Two gray vertical dashes are also displayed by default, which indicate the beginning of the European session and the New York session. This feature is available for all sessions, but it is enabled by default only for these two sessions, and you can activate it for the rest of the session. You can enable or disable the display of this line by using the Start Session tick key.
Likewise, the information table is displayed by default, which includes the open or closed information of each session and the start and end times of each session. These timings are based on the UTC time zone.
Accordingly, the schedule of trading sessions is as follows :
Asia session from 23:00 to 06:00
Sydney session from 23:00 to 05:00
Tokyo session from 00:00 to 00:06
Shanghai session from 01:30 to 06:57
European session from 07:00 to 16:30
London session from 08:00 to 16:30
New York session from 13:00 to 22:00
New York Stock Exchange (NYSE) session from 14:30 to T 22:00
Important note : the beginning of the European session coincides with the opening of the Frankfurt market.
🔵 Settings
• In the settings section, there are customization capabilities according to the type of use of each user. The settings related to showing or not showing the box of each session, the start indicator of each session, setting the start and end time of the session and choosing the desired color to display each session are among the things that can be set from this section.
• At the end of the settings, you will see the "Info Table" option; By disabling this option, the "sessions" clock table displayed on the upper right side will be disabled.
CRYPTO DIVERGENCE FINDERThis indicator allows you to easily compare any ticker you're looking at with the ones I've found to work best over many years of studying the crypto market. For these reasons, the code of the script is hidden because that is exactly what makes it unique.
You can choose any cryptocurrency, but I recommend using only perpetuals on 'BINANCE' exchange.
If the comparison mode is enabled, the current ticker you are viewing is divided by the ticker selected in the indicator.
For example, if you are watching "SOLUSDT.P" you should open the settings of the indicator and write "SOLUSDT.P" in the ticker field. Then you will get the SOLUSDT.P correlation index with other crypto and currency pairs that are correlated (like I already said this is something that is product of many years of studying this market and this is exactly what is unique about the code so the source of the script have to stay protected).
If you are a beginer, you can just apply simple trend-breakout strategy after you spot the divergence.
For advanced traders, you can use this together with ICT's and SMC concepts as a confirmation upon your entry.
