3D Isometric MFI (Christmas Edition) [Kodexius]3D Isometric MFI (Christmas Edition) is a visual-first interpretation of the classic Money Flow Index, rendered as a projected 3D-style ribbon using an isometric mapping. Instead of plotting a standard oscillator line, the script reconstructs recent MFI history as a depth-aware ribbon that moves from back to front, producing a layered perspective effect that helps you read momentum shifts, regime transitions, and relative strength changes as a continuous structure.
This Christmas Edition was also built for fun and as a creative seasonal experiment. The goal is to keep the underlying indicator logic familiar, while presenting it in a playful, “3D showroom” style that looks great in a separate oscillator panel.
The indicator is designed for presentation quality and chart readability. It uses controlled object management (lines, polylines, labels) and renders only the most recent portion of the MFI history (user-defined depth). A decorative snow background effect adds atmosphere.
🔹 Features 🎄
🔸 Isometric 3D Projection Engine
The ribbon is produced by projecting 3D points (time offset, MFI value, depth) into 2D chart coordinates.
- X represents bar offset into history
- Y represents the MFI value
- Z introduces depth and perspective
Angle controls the projection direction, and Vertical Zoom scales the perceived amplitude.
🔸 Depth-Limited Ribbon Rendering (Back to Front)
Only the most recent History Depth values are drawn to keep performance and readability stable.
- Each segment connects two consecutive MFI values
- A top edge, bottom edge, and filled face are drawn to simulate thickness
- Older segments fade into the background
🔸 Dynamic Gradient Coloring + Depth Fade
Ribbon color follows a value-based gradient:
- Lower values lean red (risk-off pressure)
- Higher values lean green (risk-on pressure)
- Mid values blend naturally
Transparency increases with depth so older history is less dominant but still readable.
🔸 Tip Label (Value + Candy Marker) 🍭🍬
The most recent ribbon tip displays current MFI value.
A candy symbol that switches based on the 50 midpoint
The label is offset so it does not cover the ribbon tip.
🔸 Projected Reference Grid (80, 50, 20)
A projected grid is drawn at classic MFI reference levels to improve orientation:
- 80 Overbought reference
- 50 Midpoint reference
- 20 Oversold reference
These grid lines use the same projection math, so they stay aligned at any angle or zoom.
🔸 Seasonal Snow Background Effect ❄️
Randomized snow is rendered behind the ribbon using lightweight labels. This is purely decorative and does not alter MFI values or logic.
🔸 Object Lifecycle Management
Because 3D-style drawing uses many objects, the script manages them explicitly by storing references in arrays, deleting old objects, and redrawing on the last bar. This helps prevent visual stacking artifacts and keeps the panel clean.
🔹 Calculations
1) Money Flow Index Computation
The script separates “positive” and “negative” money flow based on the direction of change in the selected source, then converts their ratio into the standard 0 to 100 oscillator. Classic MFI Calculations.
calc_mfi(int length, float source) =>
float upper = math.sum(volume * (ta.change(source) <= 0 ? 0 : source), length)
float lower = math.sum(volume * (ta.change(source) >= 0 ? 0 : source), length)
float mfi = 100.0
if lower != 0
float r = upper / lower
mfi := 100 - (100 / (1 + r))
mfi
Interpretation:
upper accumulates volume-weighted source values on up moves
lower accumulates volume-weighted source values on down moves
if lower is zero, MFI defaults to 100 to avoid division errors
otherwise, MFI is computed from the ratio transform
2) History Buffer Management
The current MFI value is pushed into the front of an array every bar. The array is trimmed to History Depth so rendering stays bounded.
array.unshift(ctx.history_val, mfi_curr)
if ctx.history_val.size() > depth
ctx.history_val.pop()
3) 3D Point Model and Ribbon Thickness
Each segment is built from four projected points to form a filled face (a simple quad). A small thickness is applied to create the “ribbon” look, and depth is used to simulate perspective.
4) Isometric Projection to Chart Coordinates
3D points are mapped into chart coordinates with an angle rotation and scaling for zoom and depth.
method project(Point3 p, int anchor_bar, float angle_rad, float zoom, float z_scale) =>
float x_world = -float(p.x) * 2.0
float z_val = p.z * z_scale
float screen_x_offset = (x_world * math.cos(angle_rad)) - (z_val * 1.0)
float screen_y_offset = (p.y * zoom) + (x_world * math.sin(angle_rad)) * 0.5
int final_x = anchor_bar + int(math.round(screen_x_offset))
float final_y = screen_y_offset
chart.point.from_index(final_x, final_y)
5) Gradient and Depth Transparency
Color is derived from MFI value via a gradient, and transparency increases with segment depth so recent data remains dominant while older context stays visible.
6) Projected Reference Grid Construction
The 80, 50, 20 levels are drawn as dotted segments across the same historical span, using the same projection and depth fade logic for consistent alignment.
🎆 Wishing you a great year ahead 🎄✨
May your charts be clear, your risk be controlled, and your next year be filled with health, peace, and good trades. Happy Holidays and Happy New Year.
المؤشرات والاستراتيجيات
ADVANCED NIFTY OPTION BUY SELLADVANCED NIFTY OPTION BUY SELL – V1 is a non-repainting, trend-following TradingView indicator specially designed for NIFTY Index Options (CE / PE) traders.
This indicator focuses on:
Eliminating over-trading
Providing high-quality, low-frequency signals
Avoiding trades during sideways markets
It combines EMA crossover, RSI momentum, and ADX trend strength to deliver clean and reliable buy/sell signals.
Daily & Weekly ConfluenceDaily & Weekly Confluence is a precision momentum-alignment indicator built on Stochastic RSI, designed to highlight high-probability bullish conditions when lower-timeframe momentum aligns with higher-timeframe structure. It combines live Stoch RSI signals with a forward-shifted momentum path and a robust daily/weekly confirmation system to help traders anticipate and confirm trend transitions with clarity and discipline.
Why this indicator matters
Momentum signals are most effective when they agree across timeframes. Daily & Weekly Confluence filters noise by requiring alignment between daily and weekly Stoch RSI behavior, allowing traders to focus on setups that occur within a supportive higher-timeframe context rather than reacting to isolated signals.
What the indicator shows
1. Live Stochastic RSI (%K / %D)
The indicator plots real-time Stoch RSI values for the active chart timeframe, including standard overbought and oversold reference levels. These lines represent current momentum conditions and form the basis for all signal logic.
2. Forward-shifted Stoch RSI path
A user-defined Stoch RSI pattern window is sampled from the past and drawn forward on the chart. This path visually maps how momentum previously evolved and where similar momentum behavior may re-emerge. Optional normalization keeps the path scaled to recent conditions for consistent visual interpretation.
3. Momentum cross visualization
When %K and %D intersect within the forward-shifted path, the indicator can display:
Color-cycling vertical reference lines
Small directional arrows at the crossing point
A single highlighted label marking the next upcoming cross
These visuals are designed to keep attention on momentum inflection zones, not clutter.
Multi-timeframe signal logic
Weekly signals
The indicator independently computes weekly Stoch RSI values and detects:
Confirmed bullish crosses
Near-cross conditions based on distance and slope
Daily signals
Daily bullish crosses and near-cross conditions are detected using the same logic but on the daily timeframe.
Weekly context filter (optional)
Daily signals can be restricted so they only trigger when weekly momentum is already bullish or has recently turned bullish. This alignment filter significantly reduces counter-trend signals.
Dual confirmation
When daily and weekly bullish crosses occur together, the indicator flags a high-confidence confluence event.
Alerts built for real trading
Preconfigured alert conditions include:
Weekly bullish confirmed
Weekly bullish near-cross
Daily bullish confirmed
Daily bullish near-cross
Daily signals with weekly confirmation required
Dual daily + weekly confirmation
Alerts can be configured to trigger only on confirmed bar closes for cleaner execution timing.
How to use it effectively
Use weekly signals to define directional bias
Use daily signals for timing within that bias
Treat “near-cross” alerts as early warnings, not entries
Give the highest weight to dual confirmed alignment events
This indicator is best suited for swing traders, position traders, and systematic momentum strategies that prioritize structure, confirmation, and discipline over reactive entries.
HTF Fractal Boxes by TAAKOWhat This Indicator Does
This indicator displays higher timeframe (HTF) candlesticks as an overlay on your current chart, allowing you to see larger timeframe price action without switching charts.
Key Features:
Shows the last 3 completed HTF candles (configurable)
Displays a 4th candle with dashed lines showing the current forming HTF bar
Each candle includes full OHLC data: body (open/close) and wicks (high/low)
Candles are color-coded: green for bullish, red for bearish, blue for neutral
Positioned on the right side of your chart for easy reference
Automatically scales with your Y-axis price movements
Intraday Market Context (Trend & Risk)📌 Intraday Market Context (Trend & Risk)
Overview
Intraday Market Context (Trend & Risk) is a non-signal, informational indicator designed to provide a high-level view of current market conditions. Instead of generating buy or sell signals, this tool helps traders understand what kind of market they are operating in and how cautious or aggressive they should be.The output is shown as a clean, fixed on-chart box with plain-language guidance.
What This Indicator Shows
The indicator displays three simple elements:
1️⃣ Market Type
Identifies the current market environment:
Trending Market
Sideways Market
Expanding / Breakout Market
Unclear Market
2️⃣ Risk Mode
Provides a relative assessment of market risk:
Normal Risk
Medium Risk
High Risk
This is contextual information only and does not imply trade direction.
3️⃣ What to Do
Plain-language behavioral guidance, not trade instructions:
Trend is Friend
Range is Friend
Wait for Pullback
Stay Out
These phrases are meant to guide trader behavior, not trigger trades.
How to Use
Use this indicator as a market context filter, not as a trading signal
Decide when to trade, trade cautiously, or stay out
Use your own execution tools (price action, EMAs, VWAP, structure, etc.) for entries and exits
Respect “Stay Out” conditions to avoid over-trading in unfavorable environments
This indicator works best as a decision-support overlay, especially for intraday traders.
What This Indicator Is NOT
❌ Not a buy/sell signal
❌ Not a trading strategy
❌ Not predictive
❌ Not a replacement for risk management
Important Disclaimer
This indicator is provided for educational and informational purposes only.It does not constitute financial advice, investment advice, or a recommendation to trade any instrument.Trading involves risk, and losses can exceed expectations. Always use proper risk management and make your own trading decisions.
Dual MACD CrossWhat Is This Indicator?
This indicator is a visual tool for reading changes in market momentum.
Instead of giving buy or sell orders, it helps you see when the market’s short-term behavior starts to differ from its underlying direction. Think of it as a way to observe shifts in mood rather than make automatic decisions.
What Do the Lines Mean?
You will see three visual elements:
The thin green line represents the market’s short-term momentum.
It reacts quickly to recent price changes and shows what the market is doing right now.
The thicker white line represents the market’s reference trend.
It moves more slowly and reflects the broader, more stable direction of the market.
The yellow dotted line is the zero baseline.
It does not generate signals. Its only purpose is to help you visually judge whether momentum is generally positive (above zero) or negative (below zero).
How Should This Indicator Be Read?
The key is the relationship between the green and white lines.
When the green line is above the white line, short-term momentum is stronger than the market’s reference trend.
When the green line is below the white line, short-term momentum is weaker.
The indicator is not concerned with how high or low the lines are by themselves.
What matters is how they interact.
What Do the Triangle Markers Mean?
The small triangle markers highlight moments of transition.
An upward triangle appears when the green line crosses above the white line.
This suggests that short-term momentum is beginning to outperform the broader trend.
A downward triangle appears when the green line crosses below the white line.
This suggests that momentum is weakening relative to the broader trend.
These markers are attention points, not commands. They indicate potential change, not certainty.
Why Is the Zero Line Important?
The zero line provides context.
A crossover that happens above the zero line occurs while the market is already in a relatively strong state.
A crossover below the zero line happens in a weaker environment and may represent a failed move or an early attempt at reversal.
The same crossover can mean very different things depending on its position relative to zero.
What Is This Indicator Best Used For?
This indicator is best used to:
Observe early signs of trend changes
Compare short-term momentum versus underlying direction
Confirm what you are already seeing in price action or other indicators
It is not designed to:
Predict tops or bottoms precisely
Act as a standalone buy/sell system
Measure overbought or oversold conditions
A Simple Analogy
Imagine driving a car.
The green line is how hard you are pressing the accelerator.
The white line is your current speed.
The yellow zero line is the difference between moving forward or backward.
The triangles mark moments when acceleration begins to change the car’s actual movement.
The indicator helps you notice when effort starts to translate into direction.
The Right Way to Use It
This indicator does not tell you what to do.
It encourages you to ask better questions:
Is momentum starting to lead or lag?
Is this change supported by price structure?
Does the broader context confirm or contradict this signal?
Used this way, it becomes a tool for awareness, not prediction.
If you’d like, I can also provide:
A one-paragraph version for documentation
A training script for beginners
Or a minimal tooltip-style explanation for sharing with others
Wickless Candle Revisit TrackerWickless Candle Revisit Tracker
Identifies wickless candles (strong momentum candles) and tracks whether price revisits their opening level, providing statistical insights into price behavior patterns.
WHAT ARE WICKLESS CANDLES?
• Green wickless: Open = Low (no lower wick) - opened at the low and moved only upward
• Red wickless: Open = High (no upper wick) - opened at the high and moved only downward
These candles represent strong directional momentum, and their opening levels often act as support/resistance zones that price may revisit.
KEY FEATURES:
• Automatic Detection: Identifies wickless candles with configurable tolerance for broker spread
• Real-time Tracking: Monitors each wickless candle until price revisits its opening level
• Visual Indicators:
- Labels show "WL↑" or "WL↓" with bars count when revisited (or "N/A" if pending)
- Horizontal lines mark price levels (gray dashed = pending, green solid = revisited)
• Comprehensive Statistics Table:
- Total wickless candles detected
- Revisit rate percentage
- Min/Max/Average bars until revisit
- Pending count
• History Limit: Configure how far back to analyze (default: 500 bars)
• Customizable: Adjust colors, toggle labels/lines/table, reposition statistics
USE CASES:
• Identify potential support/resistance levels from momentum candles
• Measure how often price fills "fair value gaps" or inefficiencies
• Track mean reversion patterns after strong momentum moves
• Backtest the reliability of wickless candle levels as trading zones
SETTINGS:
• Wick Tolerance: Allow small wicks due to broker spread (e.g., 0.0001 for forex)
• History Limit: Number of bars to analyze (older candles are hidden)
• Visual Controls: Toggle labels, lines, and statistics table
• Color Customization: Adjust line colors for pending/revisited states
ALERTS:
Built-in alerts for wickless candle detection (green, red, or both).
Perfect for traders analyzing price inefficiencies, fair value gaps, and momentum-based support/resistance levels.
Trend Regime Bands (EMA 50 / 150 / 200)📘 Trend Regime Bands – EMA 50·150·200
Overview
Trend Regime Bands is a visual trend-context indicator designed to help users quickly understand whether the market is in a bullish or bearish regime. The indicator uses the alignment of EMA 50, EMA 150, and EMA 200 to determine overall trend direction, while additional EMAs are used only to create color-based bands for visual context. No buy or sell signals are generated.
How Trend Direction Is Determined
Trend direction is derived exclusively from the relative positioning of: EMA 50 (short-term trend) , EMA 150 (medium-term trend) , EMA 200 (long-term trend) . Bullish regime: EMA 50 ≥ EMA 150 ≥ EMA 200 . Bearish regime: EMA 50 < EMA 150 < EMA 200. These three EMAs act as the decision framework for the indicator.
What the Color Bands Represent : The indicator displays two visual bands on the chart:
Fast Band (Momentum Context) - Built using faster EMAs, Represents short-term momentum and pullback behavior. Brighter color intensity reflects stronger momentum
Slow Band (Regime Context) - Built using slower EMAs. Represents broader trend structure and regime stability.Deeper color intensity reflects stronger trend alignment
The color of both bands follows the trend direction determined by EMA 50/150/200:
Green shades indicate a bullish regime. Red shades indicate a bearish regime. Color intensity increases or decreases smoothly based on trend strength.
How to Use This Indicator
Use the bands to understand market context, not as entry or exit signals. Strong, bright bands suggest a well-established trend. Lighter bands indicate weaker or transitioning trends. The indicator works across intraday, swing, and higher timeframes. This tool is best used alongside price action, support/resistance, or other confirmation methods.
Important Notes
This indicator does not provide buy or sell signals. It does not predict future price movement. It is intended solely as a visual trend-regime and context tool
Summary
Trend Regime Bands offers a clean, distraction-free way to visualize bullish and bearish market regimes using EMA structure and color intensity, helping traders maintain directional awareness and discipline.
Fractal Swing Levels📊 Fractal Swing Levels — Indicator Description
Fractal Swing Levels is a lightweight, visual indicator that plots historical swing high and swing low reference levels using Williams Fractal logic. The indicator helps traders visually identify areas where price previously formed confirmed pivots. These levels can be used as contextual reference zones when analyzing price structure and market behavior.
🔍 What the Indicator Does
Detects confirmed swing highs and swing lows using a configurable fractal length. Draws horizontal levels at those swing points. Extends the levels to the right for ongoing visual reference. Limits the number of displayed levels to keep the chart clean
🎨 Visual Elements
Red lines represent historical swing high levels
Green lines represent historical swing low levels
These lines are drawn only after fractal confirmation and represent past price structure, not future projections.
⚙️ Settings Explained
Fractal Length : Controls how significant a swing must be to qualify as a level.
Higher values → fewer, more prominent levels
Lower values → more frequent levels
Max Levels Per Side : Limits how many swing high and swing low levels are displayed at one time, helping reduce chart clutter.
📈 How to Use
Use the levels as visual reference points for structure analysis. Combine with trend tools, moving averages, or other technical indicators. Useful across intraday, swing, and positional timeframes. This indicator is best used as a contextual aid, not as a standalone decision tool.
⚠️ Important Notes
This is a visual analysis tool only. It does not generate buy or sell signals. It does not predict future price movement. Levels are based solely on confirmed historical price data
🎯 Summary
Fractal Swing Levels provides a clean and minimal way to visualize historical swing structure on the chart, helping traders better understand where price has previously reacted.
HTF Accumulation Distribution Zones (Analysis)📌 Indicator Name
HTF Accumulation–Distribution Zones (Analysis)
This indicator highlights potential accumulation and distribution contexts on the price chart using a combination of volume behavior, volatility (ATR), momentum, and VWAP positioning.The script is designed to help traders understand market participation and positioning, especially on higher intraday and swing timeframes, where institutional activity tends to leave clearer footprints.
🔍 What the indicator shows
ACC (Accumulation) : Marks areas where controlled buying activity may be present, identified through:
Strong candle structure relative to volatility
Healthy or controlled volume participation
Improving momentum within defined ranges
DIST (Distribution) : Marks areas where selling pressure may be emerging, identified through:
Price stretching away from VWAP
Weakening momentum
Strong bearish candle structure
These labels represent contextual zones, not trade signals.
🧠 How to use it
Use ACC and DIST labels as market context, not as direct buy or sell instructions.
Best used as a confirmation layer alongside:
Trend filters (EMA, VWAP, structure)
Support & resistance
Breakout or pullback strategies
Works well on 15-minute, 30-minute, 1-hour, and higher timeframes
Suitable for indices, futures, and liquid stocks
⚠️ Important Notes
This indicator does not generate buy or sell signals. It does not predict future price movement. All outputs are based purely on historical data analysis. Always apply independent confirmation and proper risk management
BTC - Liquisync: Macro Pulse & Desync EngineLiquisync: Macro Pulse & Desync Engine | RM
Strategic Context: The Macro Fuel Tank
Why compare Global Liquidity to Bitcoin? Because Bitcoin acts as a "Global M2 Sponge." As central banks expand their balance sheets, this "Fuel" filters into the system, taking roughly 56 to 70 days to reach Bitcoin's price. Liquisync measures this lead-lag relationship to determine if the "Engine" (Price) is properly supported by the "Fuel" (M2).
How the Model Differs: Liquisync vs. Standard Macro Composites
Many existing macro scripts focus on a Linear Sum of indicators—adding up M2, Spread, and Copper/Gold into a single Z-score. While useful for general sentiment, these "Composite" models often suffer from Directional Blindness. They tell you if the environment is "Risk-On," but they cannot tell you if the Price is currently lying about the Liquidity.
The Liquisync Edge:
• Conflict Detection: Unlike composites that simply turn red or green, Liquisync identifies Desync.
• Velocity Normalization: Instead of Z-scoring absolute values, we measure the Acceleration (Slope) of the move, allowing us to see "Decay" before the trend actually flips.
How the Model Works
1. Pulse Velocity Mapping (The Dual-Slope Architecture)
The engine utilizes a Dual-Slope Architecture to measure the "Dynamic Force" behind the market. By calculating the Linear Regression Slope for both Global Liquidity and BTC Price, we are measuring Acceleration.
• Liquidity Slope (The Fuel): Measures the speed at which central banks are expanding or contracting the money supply.
• Price Slope (The Engine): Measures the speed at which the market is repricing Bitcoin in response to that money (or due to other factors).
The Mathematical Bridge: We don't just plot these lines independently; we normalize them. Because Global M2 is measured in Trillions and BTC in Thousands of Dollars, we transform both into a unified Relative Pulse Score (-100 to +100).
Liquisync: The 4 Macro Scenarios (Directional Matrix) By measuring the interconnectivity of these two pulses, the engine identifies four distinct market regimes:
Scenario A: Institutional Expansion (Harmony) Liquidity Slope (+ rising) | Price Slope (+ rising) Harmony. The trend is "True." The price increase is fully supported by global money. (Scenario Jan 2023)
Scenario B: The Bear Trap (Desync / "Open Mouth") Liquidity Slope (+ rising) | Price Slope (- falling) The Core Edge. Liquidity is filling up, but price is dropping due to short-term panic. Because the fuel is there, the price must eventually snap upward to catch up with the liquidity reality. (Scenario Jun 2020)
Scenario C: The Bull Trap (Desync / "Open Mouth") Liquidity Slope (- falling) | Price Slope (+ rising) The Danger Zone. Price is climbing on "Empty Fuel." Retail FOMO is driving the market while liquidity is being pulled. Highly unstable. (Scenario Jul 2022)
Scenario D: Macro Contraction (Harmony) Liquidity Slope (- falling) | Price Slope (- falling) The Drain. Global liquidity is shrinking and price is following. A fundamental bear market. (Scenario Nov/Dec 2021)
2. Directional Desync (The Conflict Filter)
Liquisync is a Conflict Filter. It ignores "Synchronous" phases where both lines move together and focuses 100% of its visual energy on the Desync scenarios (Bear Trap or Bull Trap). When the lines travel in opposite directions, the indicator generates Cyan Columns. The height of these columns tells you the intensity of the conflict. When the pulses move in Harmony (Scenario A & D), the desync value remains at zero. This creates a 'Visual Silence' on the chart, signaling that the current price trend is structurally healthy and macro-supported.
3. Liquisync Extreme (The Snap-Back Star ✦)
This triggers when the "Open Mouth" (the Liquidity Pulse (Golden Line) and the Price Pulse (White Area) pull in diametrically opposite directions) desync reaches 85% of its 1-year historical record. This is a generational signal identifying the absolute limits of market irrationality relative to the macro reality (Price up, M2 down or vice versa).
How to Read the Chart
• Golden Pulse: The Liquidity Slope
• White Area: The Price Slope
• Harmony (No Columns): Price and Liquidity are in sync. Trend-following is safe.
• Open Mouth (Cyan Columns): These are not momentum bars; they are Conflict Bars . They only appear when the Price and Liquidity are traveling in opposite directions. The taller the column, the more "stretched" the macro rubber band has become.
• Magenta Stars: The desync is at a statistical limit. Expect a violent Macro Snap-Back toward the Golden Liquidity line.
The 60-Day Lead-Lag Principle: Why the Delay?
The Liquisync engine utilizes a specific forward-lag (defaulted to 60–80 days or 9 weeks, to be parametrized by the user) based on the Monetary Transmission Mechanism. Research into global liquidity cycles shows that central bank injections (M2 expansion) do not impact high-beta risk assets instantaneously. Capital follows a "Waterfall Effect": it moves first into primary dealer banks, then into credit markets and equities, and finally—once the "liquidity tide" has sufficiently risen—into the cryptocurrency ecosystem. Statistical correlation studies confirm that the peak relationship between Global M2 and Bitcoin historically occurs with a 56 to 63-day delay. By shifting the liquidity data forward, we align the "Macro Cause" with its "Market Effect," revealing a clearer predictive map that standard, unlagged indicators miss.
Settings & Calibration: Tuning the Liquisync Engine
The Liquisync engine is a precision instrument that requires specific calibration to align the "Macro Fuel" with the "Price Engine."
Slope Lookback defines the sensitivity of our acceleration measurement; a setting of 6 (Weekly) or 30 (Daily) ensures we capture structural shifts while filtering out intraday noise
Liquidity Lag is perhaps the most critical setting, as it shifts the M2 data forward to account for the standard 60–80 day (or 9-week) transmission delay—the time it takes for central bank liquidity to actually hit the crypto order books.
Extreme Window establishes our statistical benchmark; by default, this is set to 52 (representing one full year on the Weekly timeframe), allowing the engine to identify "Magenta Star" signals by comparing the current directional desync against the highest records of the last 365 days.
Recommended Calibration :
• Daily (1D): Set Lag to 60–80 and Lookback to 30 .
• Weekly (1W): Set Lag to 9 (9 weeks) and Lookback to 6 . The 1W chart is the preferred filter for macro cycles.
Detailed Script Calculations
The script aggregates liquidity from the FED, RRP, TGA, PBoC, ECB, and BoJ using request.security. We calculate the ta.linreg slope of this aggregate, normalize it via EMA-smoothed RSI mapping (-100 to +100), and apply a ta.change filter to identify directional opposition. The "Extreme" signal is derived from a rolling ta.highest window of the desync intensity.
The Liquisync engine calculates the Linear Regression Slope (m) over a user-defined window:
m =
Where:
• Δy = The distance between the current linear regression end-point and the previous bar.
• Δx = The defined bar-count (Lookback).
Risk Disclaimer & Credits
The Liquisync is a thematic macro tool. Global liquidity data is subject to reporting delays (Note: Because central bank M2 data is typically reported with a lag, the Golden Pulse represents the most recently available macro data, not a real-time high-frequency feed.). This is not financial advice; it is a statistical model for institutional education. Rob Maths is not liable for losses incurred via use of this model.
Tags:
indicator, bitcoin, btc, macro, liquidity, desync, liquisync, institutional, m2, robmaths, Rob Maths
Santhosh 3EMA Strict Sequential SignalsSanthosh 3EMA Strict Sequential Signals. Created with strict conditions to avoid wrong signals
zenba kit basic
interaction between 9 moving average and 108 moving average.
gradient filled zones.
200 moving average with color change.
vwap & standard deviations +/- 1.01
retrowave auroral style coloring
Daily High Low XAUUSD by RizalIndikator ini untuk mengetahui high low daily chart XAUUSD di timeframe 4h
Low Volume Pullback [TraderPost]ACKAGE 1: TraderPost Edition (Tradovate)
1. The Strategy Guide
Strategy: Low Volume Pullback Detector (VPA)
Concept: Identifies trend continuation trades by looking for "weak" pullbacks against the main trend where volume dries up (institutions are not selling).
Trend Filter: Only trades above/below the 50 EMA.
The Trigger: Enters when price breaks out of the weak pullback structure.
Automation:
Smart Payloads: Automatically calculates Stop Loss and Take Profit prices and sends them to TraderPost.
Cooldown: Prevents over-trading by sleeping for 10 mins after a signal.
Entry Timing: You can choose to enter immediately on the signal candle close or wait for an extra confirmation candle.
TraderPost Setup Steps
Add Script: Paste the code above into the Pine Editor and click "Add to Chart".
Get Webhook: Go to your TraderPost Dashboard > Webhooks and copy your URL.
Create Alert:
In TradingView, create a new Alert.
Condition: Select Low Volume Pullback .
Trigger: Select "Any function call".
Webhook: Paste your TraderPost URL in the Webhook box.
Message: LEAVE EMPTY (The script handles this).
Click Create.
EMA + Previous Candle High/LowA clean and simple indicator that combines trend-following EMAs with multi-timeframe support/resistance levels.
Features:
3 EMAs (20, 50, 200) for trend identification
Previous candle high/low from any timeframe (Daily, 4H, 1H, etc.)
Shaded zone between previous high/low for easy visualization
Dashed horizontal lines extending into the future
Labels showing exact price levels
Fully customizable colors, transparency, and extension length
Use Case:
Perfect for swing traders and day traders who use previous day/week highs and lows as key support/resistance levels combined with EMA trend confirmation. Great for identifying breakout opportunities and range-bound trading zones.
Settings:
Toggle EMAs on/off
Select any timeframe for previous candle (D, W, 4H, etc.)
Adjust shading transparency
Customize line extension length
Simple, effective, and clutter-free. Works on all markets and timeframes.
Keltner Channels Re-entry when a candle closes outside of the outer channel that we show a dot and once price closes back in to the channel with a candle in the same direction we get in arrow.
15M Swing Sweep Lines + SMT (ES vs NQ)15M Swing Sweep Lines (NY Killzones)Visualize liquidity sweeps of 15-minute swing highs/lows exclusively during high-impact London & New York killzones.This ICT-inspired indicator detects when price sweeps (wicks beyond) the most recent confirmed 15-minute swing high or low — classic signs of liquidity raids or stop hunts — but only if the sweep happens during key "killzone" sessions where institutional activity is typically highest.Key Features15M Swing Detection: Uses confirmed pivot highs/lows (length 2) on the 15-minute timeframe for reliable structure points.
Killzone Filters (New York time):London Killzone: 3:00 AM – 4:59 AM
New York Killzone: 9:30 AM – 10:59 AM (captures the high-volatility NY open overlap)
Sweep Visualization:Bearish Sweep (high > last 15M swing high): Thick red horizontal line from the swing point to the sweep bar.
Bullish Sweep (low < last 15M swing low): Thick green horizontal line from the swing point to the sweep bar.
Lines use xloc.bar_time for precise placement and extend only to the bar where the sweep occurs.
No duplicates: Prevents multiple lines for the same swing sweep.
Non-repainting logic with lookahead_off for clean, trustworthy signals.
Why Killzones MatterMany ICT/SMC traders focus on these windows because they often feature aggressive manipulation, equal highs/lows sweeps, and the setup for strong directional moves. This tool helps you instantly spot when buy-side or sell-side liquidity has been raided on the 15M structure during these prime times.Ideal ForConfirming potential reversals or inducements after liquidity grabs.
Adding confluence to entries during London or NY sessions.
Futures traders (ES, NQ, etc.) looking for clean visual cues of smart money engineering.
Lightweight, overlay-friendly, and focused — add it to your chart for clearer insight into 15M liquidity sweeps when it matters most. Perfect companion for killzone-based strategies!
Market Daily This is a high-accuracy intraday trading indicator designed for indices and stocks, built on trend + institutional levels + volatility control.
The script is non-repainting, rule-based, and suitable for live trading and paid subscriptions.
Market Acceptance Envelope [Interakktive]The Market Acceptance Envelope (MAE) is a diagnostic tool that shows where price statistically belongs — not where it might go. Unlike traditional bands that expand with volatility, MAE expands with acceptance: regions where price rotates comfortably, efficiency drops, and the market agrees on fair value.
This is the anti-Bollinger thesis: bands should represent where price IS accepted, not where it MIGHT reach based on standard deviation.
█ USAGE
The filled corridor represents the current acceptance zone — where price has demonstrated rotational behavior with low directional efficiency. When price is inside the corridor, it's "home." When outside, it's exploring territory the market hasn't yet accepted.
For discretionary traders, MAE provides instant context: "Is price where it belongs, or is it extended?"
For systematic traders, the exported values (confidence, asymmetry, position) can inform position sizing and filter logic.
█ ACCEPTANCE CENTROID
Unlike traditional bands centered on a moving average, MAE uses an Acceptance Centroid — a time-weighted price level where acceptance behavior concentrates. The centroid is calculated by weighting price by:
• Inverse efficiency (low efficiency = high acceptance)
• Volatility stability (stable vol = higher weight)
• Dwell factor (time spent near level)
This means the centroid drifts toward where price actually rotates, not simply where it averages.
█ ASYMMETRIC BOUNDARIES
MAE calculates upper and lower boundaries independently. Markets rarely treat up and down equally — during uptrends, the upper boundary may be wider (more accepted upside exploration), while the lower boundary stays tight (quick rejection of dips).
This asymmetry is visible on the chart and exported as a metric (-1 to +1).
█ CONFIDENCE-BASED VISIBILITY
The corridor's opacity reflects acceptance confidence:
• High confidence → clearly visible corridor (price is in accepted rotation)
• Low confidence → faded corridor (trending/directional market, acceptance not established)
When the corridor fades, it's telling you: "Acceptance hasn't been earned here yet."
█ WHAT THIS INDICATOR IS
• A diagnostic acceptance envelope showing where price statistically belongs
• Asymmetric by design — upper and lower calculated independently
• Confidence-weighted visibility — fades when acceptance is not earned
• Non-repainting — uses closed-bar data only
█ WHAT THIS INDICATOR IS NOT
• NOT Bollinger Bands (no standard deviation around a mean)
• NOT Keltner Channels (no ATR-scaled envelope)
• NOT a signal generator — no touches = signals philosophy
• NO arrows, NO entries/exits, NO buy/sell recommendations
█ HOW IT WORKS
MAE uses an acceptance-weighted calculation approach:
1. ACCEPTANCE WEIGHT
Each bar receives a weight based on:
• Efficiency: (1 - efficiency) — low efficiency = rotational = high acceptance
• Volatility Stability: stable vol environment = higher weight
• Dwell Factor: price staying near central tendency = higher weight
2. ACCEPTANCE CENTROID
Weighted average of price using acceptance weights:
centroid = Σ(price × weight) / Σ(weight)
Smoothed adaptively — faster during drift, slower when stable.
3. ASYMMETRIC BOUNDARIES
Upper and lower distances calculated separately:
• rngUp = acceptance-weighted average of (price - centroid) when price > centroid
• rngDn = acceptance-weighted average of (centroid - price) when price < centroid
4. CONFIDENCE SCORE
Composite of average acceptance weight, volatility stability, and centroid stability.
Maps to corridor opacity: high confidence = visible, low confidence = faded.
█ SETTINGS
Market Acceptance Envelope — Core
• Acceptance Lookback (20): Bars to evaluate for acceptance conditions. Higher = smoother, slower response.
• Preset (Swing): Scalper = tight/fast, Swing = balanced, Position = wide/stable.
• Envelope Sensitivity (1.0): Width multiplier. Higher = wider corridor.
Market Acceptance Envelope — Visuals
• Show Corridor (true): Display the acceptance corridor.
• Show Centroid (false): Display the acceptance centroid line.
Market Acceptance Envelope — Data Window
• Show Data Window Values (false): Export MAE metrics for external use.
█ EXPORTED VALUES
When Data Window is enabled:
• mae_upper: Upper boundary value
• mae_lower: Lower boundary value
• mae_centroid: Acceptance centroid value
• mae_width: Corridor width (upper - lower)
• mae_asymmetry: Asymmetry ratio (-1 to +1, negative = lower wider)
• mae_confidence: Acceptance confidence (0-100)
• mae_position: Price position (-1 = below, 0 = inside, +1 = above)
█ SUITABLE MARKETS
Works on all markets: Stocks, Futures, Forex, Crypto, Indices.
Works on all timeframes. Higher timeframes show more stable acceptance zones.
█ DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management. This is a diagnostic tool — it provides context, not signals.
BM 1.0BM 1.0 is a direction-focused indicator built to eliminate guesswork and emotional trading. It filters market noise and highlights high-probability directional bias, allowing traders to align themselves with the dominant force in the market instead of fighting it.
CAPEX//@version=6
indicator("美光 CapEx 噴發追蹤器", overlay=true)
// --- 輸入設定 ---
threshold = input.float(20.0, title="CapEx 噴發閾值 (%)", minval=1.0)
lookback = input.int(4, title="對比前幾季", minval=1)
// --- 取得財務數據 (資本支出 - 季度) ---
// 使用 request.financial 抓取美光的資本支出 (Capital Expenditures)
capex = request.financial("NASDAQ:MU", "CAPITAL_EXPENDITURES", "FQ")
// --- 計算變動率 ---
// 因為財務數據在圖表上是階梯狀的，我們取當前有效值
current_capex = nz(capex)
prev_capex = nz(capex )
// 計算增長率 (注意：capex 在財報是負數，所以我們取絕對值來計算)
capex_growth = (math.abs(current_capex) - math.abs(prev_capex)) / math.abs(prev_capex) * 100
// --- 判斷噴發條件 ---
is_surge = capex_growth >= threshold
// --- 繪製視覺效果 ---
// 當 CapEx 噴發時，背景顯示紅色 (代表擴產警訊)
bgcolor(is_surge ? color.new(color.red, 85) : na, title="CapEx 噴發區間")
// 在圖表下方標註文字
plotshape(is_surge, style=shape.labelup, location=location.bottom, color=color.red, text="CapEx 激增", textcolor=color.white, size=size.small)
// --- 儀表板 (選用) ---
var table tb = table.new(position.top_right, 2, 2, bgcolor=color.new(color.black, 70), border_width=1)
if barstate.islast
table.cell(tb, 0, 0, "本季 CapEx:", text_color=color.white)
table.cell(tb, 1, 0, str.tostring(current_capex / 1e9, "#.##") + " B", text_color=color.red)
table.cell(tb, 0, 1, "較上季增長:", text_color=color.white)
table.cell(tb, 1, 1, str.tostring(capex_growth, "#.##") + "%", text_color=is_surge ? color.red : color.green)
