M2 Global Liquidity Index [Custom Offsets]M2 Global Liquidity Index
Plots the global M2 money supply alongside price, with two user-configurable forward shifts to help you anticipate macro-driven moves in BTC (or any asset).
Key Features
Current M2 Index (no offset)
Offset A — shift M2 forward by N days (default 78)
Offset B — shift M2 forward by M days (default 109)
Extended Currencies toggle adds 9 additional central banks (CHF, CAD, INR, RUB, BRL, KRW, MXN, ZAR)
All lines share the left-hand axis and scale to trillions
Inputs
Offset A (days): integer ≥ 0 (default 78)
Offset B (days): integer ≥ 0 (default 109)
Include extended currencies?: on/off
How to Use
Add the indicator to any chart (overlay mode).
In Settings → Inputs, enter your desired lead times for Offset A and Offset B.
Toggle extended currencies if you need a broader “global liquidity” view.
Watch how price action (e.g. BTC) tracks the shifted M2 lines to spot potential turning points.
Why It Matters
Changes in money supply often lead risk assets by several weeks to months. This tool makes it easy to visualize and test those correlations directly on your favorite timeframe.
Cycles
Bitcoin Spot ETF Combined Volume (with MA)Bitcoin Spot ETF Combined Volume Indicator
This TradingView script tracks and combines the daily trading volumes of major Bitcoin Spot ETFs, including:
• IBIT (BlackRock)
• FBTC (Fidelity)
• ARKB (ARK Invest)
• BITB (Bitwise)
• HODL (Valkyrie)
• GBTC (Grayscale)
It plots:
• The total combined volume
• A moving average of combined volume
• Dynamic color changes (green = strong volume, red = weak volume)
• Optional alerts when volume crosses above or below the moving average
Why it matters:
Rising ETF volume often signals increased institutional interest, potential accumulation, or distribution.
Watching volume trends helps spot shifts in Bitcoin’s broader market sentiment.
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Disclaimer:
This tool is for informational and educational purposes only.
It does not constitute financial advice.
Always do your own research (DYOR) and consult a professional before making investment decisions.
Use at your own risk.
Volume Aggression Monitor📌 Volume Aggression Monitor — Overview
This indicator helps identify buying and selling pressure (aggression) in real-time by analyzing how market participants are executing trades. It is composed of three main components:
🔍 What Does It Show?
🧭 1. The Thermometer (Above Candles)
🟢 Green Arrow (▲) → Buy Aggression: Buyers are lifting the ask.
🔴 Red Arrow (▼) → Sell Aggression: Sellers are hitting the bid.
⚪ Gray Square (■) → Neutral: No significant price movement or aggression.
💡 Neutral in this context means:
The price barely moved during the candle (open-close % change < direction_threshold, default 0.05%).
No clear buyer or seller dominance. It often appears during low volatility, equilibrium, or market indecision periods. This prevents noise and false directional readings due to random micro-movements.
📊 2. Percentage Panel
A table displaying recent trades or candle data (from a lower timeframe). Colored arrows indicate the direction of aggression (buy/sell). Shows volume, delta, and aggression %.
✅ Use it to:
Track clusters of buy/sell aggression. Spot momentum builds.
⏱️ 3. Cumulative Times & Sales Bar
A horizontal progress bar representing cumulative aggression.
Positive = Buy Aggression dominates.
Negative = Sell Aggression dominates.
📉 Even in sideways price movement, this bar shows who is winning the fight under the surface.
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🧠 How to Use It:
🔹 Confirm Trades
Use the thermometer and aggression signals to confirm your strategy entries (e.g., breakouts, pullbacks, support/resistance).
🔹 Detect Dominance
Observe who is in control: buyers or sellers? Are they pressing or hesitating?
🔹 Filter Market Noise
The neutral state avoids misinterpreting small, meaningless movements as strong signals.
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Component | Meaning
🌡️ Thermometer (▲ ▼ ■) | Who’s in control in each candle
📊 Percentage Panel | Trade details: direction, delta, aggression
📈 Cumulative T&S Bar | Overall aggression bias over time
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Altseason Index | AlchimistOfCrypto
🌈 Altseason Index | AlchimistOfCrypto – Revealing Bitcoin-Altcoin Dominance Cycles 🌈
"The Altseason Index, engineered through advanced mathematical methodology, visualizes the probabilistic distribution of capital flows between Bitcoin and altcoins within a multi-cycle paradigm. This indicator employs statistical normalization principles where ratio coefficients create mathematical boundaries that define dominance transitions between cryptographic asset classes. Our implementation features algorithmically enhanced rainbow visualization derived from extensive market cycle analysis, creating a dynamic representation of value flow with adaptive color gradients that highlight critical phase transitions in the cyclical evolution of the crypto market."
📊 Professional Trading Application
The Altseason Index transcends traditional sentiment models with a sophisticated multi-band illumination system that reveals the underlying structure of crypto sector rotation. Scientifically calibrated across different ratios (TOTAL2/BTC, OTHERS/BTC) and featuring seamless daily visualization, it enables investors to perceive capital transitions between Bitcoin and altcoins with unprecedented clarity.
- Visual Theming 🎨
Scientifically designed rainbow gradient optimized for market cycle recognition:
- Green-Blue: Altcoin accumulation zones with highest capital flow potential
- Neutral White: Market equilibrium zone representing balanced capital distribution
- Yellow-Red: Bitcoin dominance regions indicating defensive capital positioning
- Gradient Transitions: Mathematical inflection points for strategic reallocation
- Market Phase Detection 🔍
- Precise zone boundaries demarcating critical sentiment shifts in the crypto ecosystem
- Daily timeframe calculation ensuring consistent signal reliability
- Multiple ratio analysis revealing the probabilistic nature of market capital flows
🚀 How to Use
1. Identify Market Phase ⏰: Locate the current index relative to colored zones
2. Understand Capital Flow 🎚️: Monitor transitions between Bitcoin and altcoin dominance
3. Assess Mathematical Value 🌈: Determine optimal allocation based on zone location
4. Adjust Investment Strategy 🔎: Modulate position sizing based on dominance assessment
5. Prepare for Rotation ✅: Anticipate capital shifts when approaching extreme zones
6. Invest with Precision 🛡️: Accumulate altcoins in lower zones, reduce in upper zones
7. Manage Risk Dynamically 🔐: Scale portfolio allocations based on index positioning
BTC Growth | AlchimistOfCrypto🌈 BTC Regression Bands & Halvings – Unveiling Bitcoin's Logarithmic Growth Fields 🌈
"The Bitcoin Regression Bands, engineered through advanced logarithmic mathematics, visualizes the probabilistic distribution of Bitcoin's price evolution within a multi-cycle growth paradigm. This indicator employs principles from hyperbolic regression where decay coefficients create mathematical boundaries that define Bitcoin's long-term value progression. Our implementation features algorithmically enhanced rainbow visualization derived from extensive cycle analysis, creating a dynamic representation of Bitcoin's logarithmic growth with adaptive color gradients that highlight critical halving-based phase transitions in the asset's monetary evolution."
📊 Professional Trading Application
The Bitcoin Regression Bands transcends traditional price prediction models with a sophisticated multi-band illumination system that reveals the underlying structure of Bitcoin's monetary evolution. Scientifically calibrated across multiple halving cycles and featuring seamless rainbow visualization, it enables investors to perceive Bitcoin's position within its macro growth trajectory with unprecedented clarity.
- Visual Theming 🎨
Scientifically designed rainbow gradient optimized for cycle pattern recognition:
- Violet-Blue: Lower value accumulation zones with highest mathematical growth potential
- Green: Fair value equilibrium zone representing the regression mean
- Yellow-Orange: Moderate overvaluation regions indicating potential resistance
- Red: Statistical extreme zones indicating mathematical cycle peaks
- Halving Visualization 🔍
- Precise cycle boundaries demarcating Bitcoin's fundamental supply shock events
- Adaptive band spacing based on mathematical cycle progression
- Multiple sub-cycle markers revealing the probabilistic nature of Bitcoin's trajectory
🚀 How to Use
1. Identify Macro Position ⏰: Locate Bitcoin's current price relative to the regression bands
2. Understand Cycle Context 🎚️: Note position within the current halving cycle for time-based analysis
3. Assess Mathematical Value 🌈: Determine potential over/undervaluation based on band location
4. Adjust Investment Strategy 🔎: Modulate position sizing based on mathematical value assessment
5. Identify Cycle Phases ✅: Monitor band transitions to detect accumulation and distribution zones
6. Invest with Precision 🛡️: Utilize lower bands for strategic accumulation, upper bands for strategic reduction
7. Manage Risk Dynamically 🔐: Scale investment allocations based on mathematical cycle positioning
Market Timing(Mastersinnifty)Overview
Market Timing (Mastersinnifty) is a proprietary visualization tool designed to help traders study historical market behavior through structural pattern similarity.
The script analyzes the most recent session’s price action and identifies the closest-matching historical sequence among thousands of past patterns. Once a match is found, the script projects the subsequent historical price path onto the current chart for easy visual reference.
Unlike traditional indicators, Market Timing (Mastersinnifty) does not generate trade signals. Instead, it offers a unique historical scenario analysis based on quantified structural similarity.
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How It Works
- The script captures the last 20 closing prices and compares them to historical price sequences from the past 8000 bars.
- Similarity is computed using the Euclidean distance formula (sum of squared differences) between the current pattern and historical candidates.
- Upon finding the most similar past pattern, the subsequent historical movement is normalized relative to session opening and plotted onto the current chart using projection lines.
- The projection automatically adapts to intraday, daily, weekly, or monthly timeframes, with the option for manual or automatic projection length settings.
- Session start detection is handled automatically based on volume thresholds and price-time analysis to adjust for market openings across different instruments.
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Key Features
- Historical Pattern Matching: Quantitative matching of the most similar past price structure.
- Dynamic Projections: Visualizes likely historical scenarios based on past market behavior.
- Auto/Manual Projection Length: Flexible control over the number of projected bars.
- Multi-Timeframe Support: Works seamlessly across intraday, daily, weekly, and monthly charts.
- Purely Visual Context: Designed to support human decision-making without replacing it with automatic trade signals.
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Who Can Benefit
- Traders studying market structure repetition and price symmetry.
- Visual thinkers who prefer scenario-based planning over fixed indicator systems.
- Intraday, swing, and position traders looking for historical context to complement price action, volume, and momentum studies.
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How to Use
- Apply the script to any asset — including indices, stocks, commodities, forex, or crypto.
- Select your preferred timeframe.
- Choose "Auto" or "Custom" for the projection length.
- Observe the projected lines:
- Upward slope = Historical bullish continuation.
- Downward slope = Historical bearish continuation.
- Flat movement = Historical sideways movement.
- Combine insights with volume, support/resistance, and price action for better decision-making.
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Important Notes
- This script does not predict the future. It offers a visual reference based on historical similarity.
- Always validate projected scenarios with live market conditions.
- Market structure evolves; past behavior may not repeat under new market dynamics.
- Use this tool for educational and research purposes only.
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Disclaimer
This is not financial advice. The Market Timing (Mastersinnifty) tool is intended for research and educational purposes only. Trading involves risk, and past performance does not guarantee future results. Always apply sound risk management practices.
MastersCycleSignal(Mastersinnifty)Overview
MastersCycleSignal is a high-precision market timing and projection indicator for trend-following and swing traders.
It combines an adaptive cycle detection algorithm, forward-looking sine wave projections, dynamic momentum confirmation, and Gann Square of 9-based geometric targets into a complete structured trading framework.
The script continuously analyzes price oscillations to detect dominant cycles, projects expected price behavior with future-facing sine approximations, and generates buy/sell signals once confirmed by adaptive momentum filtering.
Upon confirmation, it calculates mathematically consistent Gann-based target levels and risk-managed stop-loss suggestions.
Users also benefit from auto-extending targets as price action unfolds — helping traders anticipate rather than react to market shifts.
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Uniqueness
MastersCycleSignal stands apart through a unique fusion of techniques:
- Dynamic Cycle Detection
- Detects dominant cycles using a cosine correlation maximization method between detrended price (close minus SMA) and theoretical cosine curves, dynamically recalibrated across a sliding window.
- Sine Wave Future Projection
- Smooths and projects future price paths by approximating a forward sine wave based on the real-time detected dominant cycle.
- Adaptive Momentum Filtering
- Volatility is scaled by divergence between normalized returns and a 5-period EMA, further adjusted by an RSI(2) factor.
- This makes buy/sell signal confirmation robust against noise and false breakouts.
- Gann-Based Target Computation
- Uses a square-root transformation of price, incremented by selectable Gann Square of 9 degrees, for calculating progressive and dynamically expanding price targets.
- Auto-Extending Targets
- As price achieves a projected target, the system automatically draws subsequent new targets based on the prior target differential — providing continuous guidance in trending conditions.
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Usefulness
MastersCycleSignal is built to help traders:
- Identify early trend reversals through cycle shifts.
- Forecast probable price paths in advance.
- Plan systematic target and stop-loss zones with geometric accuracy.
- Reduce guesswork in trend-following and swing trading.
- Maintain structured discipline across intraday, swing, and positional strategies.
It works seamlessly across stocks, indices, forex, commodities, and crypto markets — on any timeframe.
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How to Use
- Attach the indicator to your desired chart.
- When a Buy Signal or Sell Signal appears (green or red markers):
- Use the attached stop-loss labels to manage risk.
- Monitor the automatically plotted target lines for partial exits or full profits.
- The orange projected sine wave illustrates the expected future market path.
- Customization Options:
- Cycle Detection Length — adjust to fine-tune cycle sensitivity.
- Projection Length — modify the forward distance of sine wave forecast.
- Gann Square of 9 Degrees — personalize target increments.
- Toggle Signals and Target visibility as needed.
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Disclaimer
- MastersCycleSignal uses no future data or lookahead bias.
- All projections are based on geometric extrapolations from historical price action — not guaranteed predictions.
- Trading involves risks, and historical cycle behavior may differ in future conditions.
Bitcoin as % Global M2 signalThis script provides signal system:
Buy signal: each time the YoY of the Global M2 rises more than 2.5% while the distance between the bitcoin price as a percentage of the Global M2 is below its yearly SMA.
Sell signal: the distance between the bitcoin price as a percentage of the Global M2 and its yearly SMA is > 0.7
This is a very simple system, but it seems to work pretty well to ride the bitcoin price cycle wave.
The parameters are hard coded but they can be easily changed to test different levels for both the buy and sell signals.
MA Dashboard (NAPC Histogram Table) MADashV1MA Dashboard (MAPC Histogram Table) MADashV1 - User Guide
1. Introduction & Purpose
The "MA Dashboard (MADashV1)" indicator is a tool for TradingView designed to give you a quick, comprehensive overview of how the current price relates to multiple Moving Averages (MAs). It displays key information in a convenient table and provides a visual histogram in a separate pane below your main price chart.
Its main goals are:
To monitor up to six different MAs simultaneously without cluttering your main chart.
To instantly see if the price is currently above or below each MA ("Status").
To show the actual value of each MA ("MA$").
To identify the price level of the most recent price crossover for each MA within a specific lookback period (" TSX:XMA ").
To quantify the exact difference between the current price and each MA ("MAPC" - Moving Average Price Crossover/Difference).
To visualize the MAPC of one selected MA as a histogram for quick momentum assessment.
To optionally plot the historical MAPC values as lines in the histogram pane.
2. Key Features
Configurable MAs: Set up to 6 independent Moving Averages. For each, you can choose:
Type (SMA, EMA, WMA, RMA)
Length (Period)
Source (Close, Open, High, Low, etc.)
Color (Used for identification in the table)
Informative Table: A dashboard summarizing all configured MAs, showing:
MA Number (1-6)
Type & Length settings
Current MA Value (MA$)
Price Status relative to MA (Bullish/Bearish/Neutral)
Last Crossover Price ( TSX:XMA ) with color-coded background (Green=Up, Red=Down)
Price Difference from MA (MAPC) with color-coded text (Green=Positive, Red=Negative)
MAPC Histogram: Plotted in a separate pane, showing the difference between the price and one user-selected MA.
Green bars indicate the price is above the selected MA.
Red bars indicate the price is below the selected MA.
The height of the bars shows the magnitude of the difference.
Optional MAPC Lines: Plot the historical MAPC values for any of the 6 MAs as lines directly on the histogram pane for comparison.
Customizable Appearance: Control the table's position, colors (background, text, header, border), border size, and text size.
Flexible Formatting: Adjust the number of decimal places displayed for price values and MAPC values.
Crossover Lookback: Define how many bars back the indicator should look for the last price crossover ( TSX:XMA ).
3. How It Works (Simplified)
MA Calculation: The indicator calculates the value of each enabled Moving Average based on your chosen settings (Type, Length, Source).
Status Check: For each MA, it compares the current price (from the MA's Source setting) to the MA's calculated value. If the price is higher, the status is "Bullish"; if lower, "Bearish"; if equal, "Neutral".
MAPC Calculation: It simply subtracts the MA's value from the current price (Price - MA Value). This gives the raw price difference, shown in the MAPC column.
TSX:XMA Calculation: It looks back over the number of bars you specified ("Crossover Lookback Bars"). It finds the most recent instance where the price crossed either above or below the MA within that lookback period. It then records the price at which that specific crossover occurred and displays it in the TSX:XMA column. The background color indicates if the last cross within the lookback was upwards (green) or downwards (red). If no cross occurred within the lookback, it shows "N/A".
Histogram: It takes the MAPC value (Price - MA Value) calculated for the single MA you selected in the "Histogram Source MA" setting and plots it as a bar for each candle.
4. Indicator Components
Histogram Pane: This appears below your main price chart.
Histogram Bars: Visual representation of the MAPC for the selected MA.
Zero Line: A horizontal line indicating where the price is exactly equal to the selected MA.
(Optional) MAPC Lines: Lines showing the historical MAPC values for any MAs you choose to plot.
Information Table: Displayed on top of the Histogram Pane (or wherever you position it). This is the main dashboard showing the data for all enabled MAs.
5. Configuration Settings (Inputs)
When you add the indicator to your chart, you'll see these settings:
General Settings:
Show Info Table: Turn the table display on or off.
Table Horizontal/Vertical Position: Choose where the table appears (Top/Middle/Bottom, Left/Center/Right).
Table BG Color, Table Text Color, Table Header Color: Customize the table's colors.
Table Border Size, Table Border Color: Adjust the table's border.
Text Size: Change the font size within the table.
Formatting:
Price Decimals: Set how many decimal places to show for MA values (MA$) and crossover prices ( TSX:XMA ). "Default" uses the chart's setting.
MAPC Decimals: Set how many decimal places to show for the MAPC column values.
Crossover Settings:
Crossover ( TSX:XMA ) Lookback Bars: How many past bars to check for the last price/MA crossover. A smaller number focuses on recent crosses.
Histogram Settings:
Show Histogram Pane: Turn the entire histogram pane (including bars and lines) on or off.
Histogram Source MA: Crucial setting! Select which MA (MA1 to MA6) will be used to generate the histogram bars.
Histogram Positive/Negative Color: Choose the colors for the histogram bars when the price is above (positive) or below (negative) the selected MA.
Plot MAPC Line 1 to Plot MAPC Line 6: Check these boxes to draw the historical MAPC value for the corresponding MA as a line on the histogram pane.
MA 1 to MA 6 Settings:
Enable MA X: Turn each specific MA on or off. If off, it won't be calculated or shown in the table.
Type: Select the calculation type (SMA, EMA, etc.).
Length: Set the period for the MA.
Source: Choose the price data used for the MA calculation (Close, Open, High, Low, hl2, etc.).
Color: Select a color for this MA. This color is used as the background for the MA number in the first column of the table for easy identification.
Style, Width: These primarily affect how the MA would look if plotted on the main chart (which this indicator doesn't do by default), but the Width setting is not used in the table or histogram pane.
6. How to Interpret the Output
Table:
MA, Type, Len: Reminders of your settings for each row.
MA$: The current calculated value of that Moving Average.
Status: Quickly see if the price is currently bullish (above) or bearish (below) relative to that specific MA. Look for confluence (multiple MAs showing the same status). Text color matches MAPC (Green=Bullish, Red=Bearish).
TSX:XMA : Shows the price level of the last crossover within your lookback period. The background color tells you the direction of that cross (Green = Price crossed UP, Red = Price crossed DOWN). Useful for identifying potential support/resistance levels based on recent crosses. "N/A" means no cross occurred within the lookback.
MAPC: Shows the exact price difference between the source price and the MA. A large positive number means the price is significantly above the MA; a large negative number means it's significantly below. The text color indicates the direction (Green = Price > MA, Red = Price < MA). Useful for gauging the strength of deviation from the MA.
Histogram:
Focus on the MA selected in Histogram Source MA.
Bars above Zero: Price is above the selected MA (Bullish). Taller bars mean a larger difference.
Bars below Zero: Price is below the selected MA (Bearish). Longer bars (downwards) mean a larger difference.
Crossing the Zero Line: Indicates the price is crossing the selected MA.
Trend/Momentum: Observe if the histogram bars are generally staying positive or negative, and if their height/length is increasing or decreasing, which can indicate strengthening or weakening momentum relative to that MA.
MAPC Lines (if enabled):
Compare the lines to each other and the zero line. See how the price difference for different MAs has evolved over time. For example, you could plot a short-term MAPC line and a long-term MAPC line to see how they diverge or converge.
7. Potential Use Cases
Trend Confirmation: Check if the price is consistently above (bullish) or below (bearish) multiple MAs according to the "Status" column.
Momentum Gauge: Use the Histogram height/depth or the MAPC values to see how far the price is deviating from key MAs. Increasing deviation might suggest strong momentum, while decreasing deviation might suggest consolidation or reversal potential.
Crossover Signals: Use the " TSX:XMA " column's background color to quickly spot recent crossovers within your defined lookback. Note the price level ( TSX:XMA value) where it happened.
Dynamic Support/Resistance: The current "MA$" values act as potential dynamic support (if price is above) or resistance (if price is below). The " TSX:XMA " price shows where recent interactions occurred.
Comparing MA Relationships: Enable MAPC lines for different MAs (e.g., a fast MA and a slow MA) to visualize how their distance from the price changes relative to each other.
8. Important Notes
This indicator plots in a separate pane (overlay=false), not directly on your price chart.
The MA lines themselves are not plotted on the main chart by default, although the plotting code exists internally. The focus is on the table and histogram data.
MAPC shows the absolute price difference, not a percentage difference.
The usefulness of the " TSX:XMA " column depends heavily on the "Crossover Lookback Bars" setting.
This guide should help you understand and effectively use the MA Dashboard (MADashV1) indicator. Remember to experiment with the settings to tailor it to your specific trading style and the assets you trade.
Global M2 YoY % Increase signalThe script produces a signal each time the global M2 increases more than 2.5%. This usually coincides with bitcoin prices pumps, except when it is late in the business cycle or the bitcoin price / halving cycle.
It leverages dylanleclair Global M2 YoY % change, with several modifications:
adding a 10 week lead at the YoY Change plot for better visibility, so that the bitcoin pump moreless coincides with the YoY change.
signal increases > 2.5 in Global M2 at the point at which they occur with a green triangle up.
Statistical AMDOverview
The Statistical AMD ("Accumulation, Manipulation, Distribution") is a real-time statistical analyzer and visual segmentation tool for price action.
It identifies and tracks the structure of major movements within higher timeframe candles — breaking them into three key phases:
Manipulation (M): Early-stage liquidity sweeps.
Distribution (D): Mid-phase trending moves.
Accumulation (A): Late-stage compression zones.
The tool records and visualizes where highs and lows form relative to the open of a larger candle (e.g., 1-hour) and aggregates statistical behavior across sessions.
This is not a predictive indicator — it is a segmentation and statistical probability builder for real-time and historical analysis.
What It Does
Tracks High/Low Timing:
Identifies when the high and low occur during each higher timeframe candle (like hourly).
Plots Box Structures:
Color-coded boxes for each phase:
Red = Manipulation
Green = Distribution
White = Accumulation
Displays Statistical Table:
Average timing of highs and lows
Current vs historical bar position tracking
Average ranges for each phase
Historical Aggregation:
Aggregates hundreds of candles' data to build probabilistic expectations.
Live Updates:
Boxes dynamically expand as price evolves within each phase.
Key Settings
HTF Reference:
Select the higher timeframe to analyze (Default: 1 Hour).
Manually Input Legs:
Customize leg sizes for manipulation, distribution, and no-trade zones.
Defaults:
Manipulation Leg = 3 bars
Distribution Leg = 6 bars
No Trade Zone = 6 bars
Ideal For
Liquidity and Manipulation Traders:
Those analyzing sweep behaviors, fakeouts, and structural rotations.
Time-based Statistical Analysts:
Users who build mean-reversion or breakout models based on timing patterns.
ICT, Smart Money Concept (SMC) Traders:
Traders who track sweep → displacement → compression cycles.
Scalpers and Intraday Traders:
Anyone needing microstructural framing inside large candles.
Important Notes
Higher timeframe anchoring is critical.
Make sure you align the "HTF Reference" with your intended analysis frame (e.g., if you scalp on 1-min, set HTF to 1H or 4H).
The tool doesn’t predict future moves directly — it helps build a contextual, statistically-backed map of where you are inside the cycle.
Manual input flexibility allows tailoring for different asset volatility.
Final Thought
If you're trading without understanding the internal phases of a candle — you're navigating blind.
Statistical AMD arms you with objective, historical data about how and when price tends to expand, manipulate, and compress — so you can act with probability on your side.
Pmax + T3Pmax + T3 is a versatile hybrid trend-momentum indicator that overlays two complementary systems on your price chart:
1. Pmax (EMA & ATR “Risk” Zones)
Calculates two exponential moving averages (Fast EMA & Slow EMA) and plots them to gauge trend direction.
Highlights “risk zones” behind price as a colored background:
Green when Fast EMA > Slow EMA (up-trend)
Red when Fast EMA < Slow EMA (down-trend)
Yellow when EMAs are close (“flat” zone), helping you avoid choppy markets.
You can toggle risk-zone highlighting on/off, plus choose to ignore signals in the yellow (neutral) zone.
2. T3 (Triple-Smoothed EMA Momentum)
Applies three sequential EMA smoothing (the classic “T3” algorithm) to your chosen source (usually close).
Fills the area between successive T3 curves with up/down colors for a clear visual of momentum shifts.
Optional neon-glow styling (outer, mid, inner glows) in customizable widths and transparencies for a striking “cyber” look.
You can highlight T3 movements only when the line is rising (green) or falling (red), or disable movement coloring.
Gaussian Channel StrategyGaussian Channel Strategy — User Guide
1. Concept
This strategy builds trades around the Gaussian Channel. Based on Pine Script v4 indicator originally published by Donovan Wall. With rework to v6 Pine Script and adding entry and exit functions.
The channel consists of three dynamic lines:
Line Formula Purpose
Filter (middle) N-pole Gaussian filter applied to price Market "equilibrium"
High Band Filter + (Filtered TR × mult) Dynamic upper envelope
Low Band Filter − (Filtered TR × mult) Dynamic lower envelope
A position is opened when price crosses a user-selected line in a user-selected direction.
When the smoothed True Range (Filtered TR) becomes negative, the raw bands can flip (High drops below Low).
The strategy automatically reorders them so the upper band is always above the lower band.
Visual colors still flip, but signals stay correct.
2. Entry Logic
Choose a signal line for longs and/or shorts: Filter, Upper band, or Lower band.
Choose a cross direction (Cross Up or Cross Down).
A signal remains valid for Lookback bars after the actual cross, as long as price is still on the required side of the line.
When the opposite signal appears, the current position is closed or reversed depending on Reverse on opposite.
3. Parameters
Group Setting Meaning
Source & Filter Source Price series used (close, hlc3, etc.)
Poles (N) Number of Gaussian filter poles (1-9). More poles ⇒ smoother but laggier
Sampling Period Main period length of the channel
Filtered TR Multiplier Width of the bands in fractions of smoothed True Range
Reduced Lag Mode Adds a lag-compensation term (faster but noisier)
Fast Response Mode Blends 1-pole & N-pole outputs for quicker turns
Signals Long → signal line / Short → signal line Which line generates signals
Long when price / Short when price Direction of the cross
Lookback bars for late entry Bars after the cross that still allow an entry
Trading Enable LONG/SHORT-side trades Turn each side on/off
On opposite signal: reverse True: reverse -- False: flat
Misc Start trading date Ignores signals before this timestamp (back-test focus)
4. Quick Start
Add the strategy to a chart. Default: hlc3, N = 4, Period = 144.
Select your signal lines & directions.
Example: trend trading – Long: Filter + Cross Up, Short: Filter + Cross Down.
Disable either side if you want long-only or short-only.
Tune Lookback (e.g. 3) to catch gaps and strong impulses.
Run Strategy Tester, optimise period / multiplier / stops (add strategy.exit blocks if needed).
When satisfied, connect alerts via TradingView webhooks or use the builtin broker panel.
5. Notes
Commission & slippage are not preset – adjust them in Properties → Commission & Slippage.
Works on any market and timeframe, but you should retune Sampling Period and Multiplier for each symbol.
No stop-loss / take-profit is included by default – feel free to add with strategy.exit.
Start trading date lets you back-test only recent history (e.g. last two years).
6. Disclaimer
This script is for educational purposes only and does not constitute investment advice.
Use entirely at your own risk. Back-test thoroughly and apply sound risk management before trading real capital.
Session Times + Strenght M7This Script Aims to Define Session Times, and Rank those. It can help to adjust your Strategy to Higher Volatility, if you choose to use the Session Volatility and Strenght Index from 1-10. Your timezone on Trading View should be NY. You can customize the Following in Settings: Weight of Volatility & Narrative Regarding the ranking + Transparency of the Lines. SP:SPX FX:EURUSD OANDA:EURUSD CAPITALCOM:USDJPY AMEX:SPY NASDAQ:QQQ TVC:DXY CAPITALCOM:USDJPY CME_MINI:NQ1! OANDA:XAUUSD FX:GBPUSD
Crypto EMA TableCrypto EMA Trend Scanner
A powerful tool for crypto traders to quickly identify trend strength across multiple timeframes
This indicator helps you spot potential trading opportunities by analyzing the EMA (Exponential Moving Average) alignment across four different timeframes. It displays a clean, color-coded table showing which cryptocurrencies are in a strong uptrend.
Key Features:
Multi-Timeframe Analysis: Simultaneously scan 3-minute, 15-minute, 1-hour, and 4-hour charts
Clear Visual Signals: Green cells indicate bullish EMA alignment (EMA 20 > EMA 50 > EMA 200)
Customizable Symbols: Track up to 3 different cryptocurrencies of your choice
Exchange Selection: Compatible with major exchanges (Bybit, Binance, Coinbase, Kraken, KuCoin, FTX)
Flexible Positioning: Place the table anywhere on your chart
How to Use:
Add the indicator to your chart
Select your preferred cryptocurrencies in the settings
Position the table where you want it
Look for green cells indicating EMA lineup.
Use this information to identify potential entry points or confirm your trading bias
PH Night Session HighlightTraders who want to visually separate the night session on their charts. It highlights the period from 8:01 PM to 7:59 AM (Philippine Time), making it easy to distinguish off-hours or pre-market activity, especially when analyzing crypto or 24/7 markets.
The script automatically adjusts server time (UTC) to Philippine Time (UTC+8) and overlays a soft blue background during the specified time window.
Price Flip StrategyPrice Flip Strategy with User-Defined Ticker Max/Max
This strategy leverages an inverted price calculation based on user-defined maximum and minimum price levels over customizable lookback periods. It generates buy and sell signals by comparing the previous bar's original price to the inverted price, within a specified date range. The script plots key metrics, including ticker max/min, original and inverted prices, moving averages, and HLCC4 averages, with customizable visibility toggles and labels for easy analysis.
Key Features:
Customizable Inputs: Set lookback periods for ticker max/min, moving average length, and date range for signal generation.
Inverted Price Logic: Calculates an inverted price using ticker max/min to identify trading opportunities.
Flexible Visualization: Toggle visibility for plots (e.g., ticker max/min, prices, moving averages, HLCC4 averages) and last-bar labels with user-defined colors and sizes.
Trading Signals: Generates buy signals when the previous original price exceeds the inverted price, and sell signals when it falls below, with alerts for real-time notifications.
Labeling: Displays values on the last bar for all plotted metrics, aiding in quick reference.
How to Use:
Add to Chart: Apply the script to a TradingView chart via the Pine Editor.
Configure Settings:
Date Range: Set the start and end dates to define the active trading period.
Ticker Levels: Adjust the lookback periods for calculating ticker max and min (e.g., 100 bars for max, 100 for min).
Moving Averages: Set the length for exponential moving averages (default: 20 bars).
Plots and Labels: Enable/disable specific plots (e.g., Inverted Price, Original HLCC4) and customize label colors/sizes for clarity.
Interpret Signals:
Buy Signal: Triggered when the previous close price is above the inverted price; marked with an upward label.
Sell Signal: Triggered when the previous close price is below the inverted price; marked with a downward label.
Set Alerts: Use the built-in alert conditions to receive notifications for buy/sell signals.
Analyze Plots: Review plotted lines (e.g., ticker max/min, HLCC4 averages) and last-bar labels to assess price behavior.
Tips:
Use in trending markets by enabling ticker max for uptrends or ticker min for downtrends, as indicated in tooltips.
Adjust the label offset to prevent overlapping text on the last bar.
Test the strategy on a demo account to optimize lookback periods and moving average settings for your asset.
Disclaimer: This script is for educational purposes and should be tested thoroughly before use in live trading. Past performance is not indicative of future results.
QuantumSync Pulse [ w.aritas ]QuantumSync Pulse (QSP) is an advanced technical indicator crafted for traders seeking a dynamic and adaptable tool to analyze diverse market conditions. By integrating momentum, mean reversion, and regime detection with quantum-inspired calculations and entropy analysis, QSP offers a powerful histogram that reflects trend strength and market uncertainty. With multi-timeframe synchronization, adaptive filtering, and customizable visualization, it’s a versatile addition to any trading strategy.
Key Features
Hybrid Signals: Combines momentum and mean reversion, dynamically weighted by market regime.
Quantum Tunneling: Enhances responsiveness in volatile markets using volatility-adjusted calculations.
3-State Entropy: Assesses market uncertainty across up, down, and neutral states.
Regime Detection: Adapts signal weights with Hurst exponent and volatility ROC.
Multi-Timeframe Alignment: Syncs with higher timeframe trends for context.
Customizable Histogram: Displays trend strength with ADX-based visuals and flexible styling.
How to Use and Interpret
Histogram Interpretation
Positive (Above Zero): Bullish momentum; color intensity shows trend strength.
Negative (Below Zero): Bearish momentum; gradients indicate weakness.
Overlaps: Alignment of final_z (signal) and ohlc4 (price) histograms highlights key price levels or turning points.
Regime Visualization
Green Background: Trending market; prioritize momentum signals.
Red Background: Mean-reverting market; focus on reversion signals.
Blue Background: Neutral state; balance both signal types.
Trading Signals
Buy: Histogram crosses above zero or shows positive divergence between histograms.
Sell: Histogram crosses below zero or exhibits negative divergence.
Confirmation: Match signals with regime background—green for trends, red for ranges.
Customization
Tweak Momentum Length, Entropy Lookback, and Hurst Exponent Lookback for sensitivity.
Adjust color themes and transparency to suit your charts.
Tips for Optimal Use
Timeframes: Use higher timeframes (1h, 4h) for trend context and lower (5m, 15m) for entries.
Pairing: Combine with RSI, MACD, or volume indicators for confirmation.
Backtesting: Test settings on historical data for asset-specific optimization.
Overlaps: Watch for histogram overlaps to identify support, resistance, or reversals.
Simulated Performance
Trending Markets: Histogram stays above/below zero, with overlaps at retracements for entries.
Range-Bound Markets: Oscillates around zero; overlaps signal reversals in red regimes.
Volatile Markets: Quantum tunneling ensures quick reactions, with filters reducing noise.
Elevate your trading with QuantumSync Pulse—a sophisticated tool that adapts to the market’s rhythm and your unique style.
Multi Scanner Plot & Table V1Here's how to interpret each column in the table:
Price vs MAs:
What it shows: Where the current price is relative to the short-term (e.g., 20-period) and long-term (e.g., 50-period) Simple Moving Averages (SMAs) calculated on your current chart's timeframe.
Interpretation:
Above Both (Green background): Price is above both the short and long MAs. Generally considered a bullish sign for the current trend.
Below Both (Red background): Price is below both MAs. Generally considered a bearish sign.
Mixed (Gray background): Price is between the two MAs (e.g., above the short but below the long, or vice-versa). Indicates indecision or a potential trend change.
RSI Value:
What it shows: The actual numerical value of the Relative Strength Index (RSI) calculated on your current chart's timeframe.
Interpretation: Just the raw RSI number (e.g., 65.32). The background is always gray. You compare this value to standard overbought/oversold levels (like 70/30) or the levels defined in the script's inputs.
RSI Status:
What it shows: Interprets the RSI Value based on the Overbought/Oversold levels set in the script's inputs (default 70/30). Calculated on your current chart's timeframe.
Interpretation:
Overbought (Red background): RSI is above the overbought level (e.g., > 70). Suggests the asset might be due for a pullback or reversal downwards. Red indicates a potentially bearish condition.
Oversold (Green background): RSI is below the oversold level (e.g., < 30). Suggests the asset might be due for a bounce or reversal upwards. Green indicates a potentially bullish condition.
Neutral (Gray background): RSI is between the oversold and overbought levels.
Last Sig Price:
What it shows: The price level where the last "SIG NOW" Buy or Sell signal occurred on your current chart's timeframe.
Interpretation: Helps you see the entry price of the most recent short-term signal generated by this script. The background color matches the signal type: Green for the last Buy signal, Red for the last Sell signal. N/A if no signal has occurred yet.
SIG NOW:
What it shows: This is the main short-term signal generated by the script based on conditions on your current chart's timeframe. It combines the "Price vs MAs" status and specific RSI conditions (price must be above/below both MAs and RSI must be within a certain range defined in the inputs).
Interpretation:
BUY (Green background): The specific buy conditions are met right now. (Price above both MAs AND RSI is strong but not necessarily overbought).
SELL (Red background): The specific sell conditions are met right now. (Price below both MAs AND RSI is weak but not necessarily oversold).
NEUTRAL (Gray background): Neither the Buy nor the Sell conditions are currently met.
ALERT:
What it shows: Flags unusual volume activity on the current bar compared to the recent average volume (calculated on your current chart's timeframe).
Interpretation:
SPIKE (Yellow background, black text): Current volume is significantly higher than the recent average (defined by the Volume Spike Multiplier). Can indicate strong interest or a potential climax.
DUMP (Purple background): Current volume is significantly lower than the recent average (defined by the Volume Dump Multiplier). Can indicate fading interest.
NONE (Gray background): Volume is within the normal range for the lookback period.
SD$:
What it shows: The price level where the last Volume Spike or Dump occurred on your current chart's timeframe.
Interpretation: Shows the price associated with the most recent significant volume event. The background color indicates the type of the last event: Green if the last event was a Spike, Red if the last event was a Dump. N/A if no Spike/Dump has occurred yet.
BB Value (%B):
What it shows: This relates to Bollinger Bands, but specifically calculated on a Higher Timeframe (HTF) that you can set in the inputs (e.g., Daily BBs while viewing an Hourly chart). It shows the Bollinger Band Percent B (%B) value for that HTF. %B measures where the HTF closing price is relative to the HTF upper and lower bands.
Interpretation:
Value > 1: HTF price closed above the HTF upper Bollinger Band.
Value < 0: HTF price closed below the HTF lower Bollinger Band.
Value between 0 and 1: HTF price closed within the HTF Bollinger Bands (e.g., 0.5 is exactly on the middle band).
The background is always gray.
LTS (Long Term Signal):
What it shows: A signal derived only from the Higher Timeframe (HTF) Bollinger Bands.
Interpretation:
BUY (Green background): The HTF price closed above the HTF upper Bollinger Band (see BB Value > 1). Considered a strong bullish signal from the higher timeframe perspective.
SELL (Red background): The HTF price closed below the HTF lower Bollinger Band (see BB Value < 0). Considered a strong bearish signal from the higher timeframe perspective.
NEUTRAL (Gray background): The HTF price closed within the HTF Bollinger Bands.
How to Understand Bollinger Bands and Signals in this Context:
Bollinger Bands are primarily used for the Long Term Signal (LTS) column. This script calculates BBs on a higher timeframe (you choose which one, or it defaults to the chart's timeframe if left blank).
The "LTS" signal triggers:
A BUY when the price on that higher timeframe closes above its upper Bollinger Band. This often indicates strong momentum or a potential breakout.
A SELL when the price on that higher timeframe closes below its lower Bollinger Band. This often indicates strong negative momentum or a potential breakdown.
The "BB Value" column gives you the raw %B number from that same higher timeframe, showing you exactly where the price is relative to the bands (is it just barely above/below, or way outside?).
The script does not directly use Bollinger Bands from the current chart timeframe for the "SIG NOW" or other table signals. The main short-term signals ("SIG NOW") rely on Moving Averages and RSI on the current timeframe. The LTS provides a longer-term perspective using HTF Bollinger Bands.
In summary: Look at the table to quickly gauge:
Short-term trend (Price vs MAs).
Short-term momentum (RSI Status, SIG NOW).
Recent short-term entry points (Last Sig Price).
Current volume anomalies (ALERT).
Long-term strength/weakness based on HTF Bollinger Bands (LTS, BB Value).
Combine these pieces of information to get a more rounded view of the current market conditions according to this specific script's logic.
Triad Macro Gauge__________________________________________________________________________________
Introduction
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The Triad Macro Gauge (TMG) is designed to provide traders with a comprehensive view of the macroeconomic environment impacting financial markets. By synthesizing three critical market signals— VIX (volatility) , Credit Spreads (credit risk) , and the Stocks/Bonds Ratio (SPY/TLT) —this indicator offers a probabilistic assessment of market sentiment, helping traders identify bullish or bearish macro conditions.
Holistic Macro Analysis: Combines three distinct macroeconomic indicators for multi-dimensional insights.
Customization & Flexibility: Adjust weights, thresholds, lookback periods, and visualization styles.
Visual Clarity: Dynamic table, color-coded plots, and anomaly markers for quick interpretation.
Fully Consistent Scores: Identical values across all timeframes (4H, daily, weekly).
Actionable Signals: Clear bull/bear thresholds and volatility spike detection.
Optimized for timeframes ranging from 4 hour to 1 week , the TMG equips swing traders and long-term investors with a robust tool to navigate macroeconomic trends.
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Key Indicators
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VIX (CBOE:VIX): Measures market volatility (negatively weighted for bearish signals).
Credit Spreads (FRED:BAMLH0A0HYM2EY): Tracks high-yield bond spreads (negatively weighted).
Stocks/Bonds Ratio (SPY/TLT): Evaluates equity sentiment relative to treasuries (positively weighted).
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Originality and Purpose
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The TMG stands out by combining VIX, Credit Spreads, and SPY/TLT into a single, cohesive indicator. Its unique strength lies in its fully consistent scores across all timeframes, a critical feature for multi-timeframe analysis.
Purpose: To empower traders with a clear, actionable tool to:
Assess macro conditions
Spot market extremes
Anticipate reversals
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How It Works
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VIX Z-Score: Measures volatility deviations (inverted for bearish signals).
Credit Z-Score: Tracks credit spread deviations (inverted for bearish signals).
Ratio Z-Score: Assesses SPY/TLT strength (positively weighted for bullish signals).
TMG Score: Weighted composite of z-scores (bullish > +0.30, bearish < -0.30).
Anomaly Detection: Identifies extreme volatility spikes (z-score > 3.0).
All calculations are performed using daily data, ensuring that scores remain consistent across all chart timeframes.
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Visualization & Interpretation
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The script visualizes data through:
A dynamic table displaying TMG Score , VIX Z, Credit Z, Ratio Z, and Anomaly status, with color gradients (green for positive, red for negative, gray for neutral/N/A).
A plotted TMG Score in Area, Histogram, or Line mode , with adaptive opacity for clarity.
Bull/Bear thresholds as horizontal lines (+0.30/-0.30) to signal market conditions.
Anomaly markers (orange circles) for volatility spikes.
Crossover signals (triangles) for bull/bear threshold crossings.
The table provides an immediate snapshot of macro conditions, while the plot offers a visual trend analysis. All values are consistent across timeframes, simplifying multi-timeframe analysis.
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Script Parameters
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Extensive customization options:
Symbol Selection: Customize VIX, Credit Spreads, SPY, TLT symbols
Core Parameters: Adjust lookback periods, weights, smoothing
Anomaly Detection: Enable/disable with custom thresholds
Visual Style: Choose display modes and colors
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Conclusion
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The Triad Macro Gauge by Ox_kali is a cutting-edge tool for analyzing macroeconomic trends. By integrating VIX, Credit Spreads, and SPY/TLT, TMG provides traders with a clear, consistent, and actionable gauge of market sentiment.
Recommended for: Swing traders and long-term investors seeking to navigate macro-driven markets.
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Credit & Inspiration
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Special thanks to Caleb Franzen for his pioneering work on macroeconomic indicator blends – his research directly inspired the core framework of this tool.
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Notes & Disclaimer
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This is the initial public release (v2.5.9). Future updates may include additional features based on user feedback.
Please note that the Triad Macro Gauge is not a guarantee of future market performance and should be used with proper risk management. Past performance is not indicative of future results.
Spot Premium with ROCDescription:
This indicator tracks the spot premium of BTC by comparing the perpetual futures price (perp) from Binance against the spot price on Coinbase. The histogram displays the price difference (spot minus perp) with green bars when spot is higher and red when perp carries a premium. The Rate of Change (ROC) line measures how quickly this premium shifts, with an option to normalize fluctuations for greater stability.
Implications & Possible Use Cases:
• Market Sentiment Gauge: A sustained positive premium often indicates bullish sentiment, while a discount can signal bearish bias.
• Arbitrage Signals: Significant divergences between perp and spot may present short-term arbitrage opportunities across exchanges.
• Risk Management & Hedging: Traders can align derivatives and spot positions when premiums deviate sharply, reducing funding cost exposures.
• Funding Rate Insights: Since perp funding rates tend to follow premium levels, this indicator can act as an early warning for funding spikes.
• Trend Confirmation: Use the normalized ROC to confirm continuation or reversal of premium trends, filtering out noise around small diff values.
Let me know if you would like additional features.
SAR Pullback By TradingConTotoName & Version
SAR Pullback UX Improved (Pine Script v5)
Core Logic
Calculates two EMAs (fast and slow) to identify overall trend direction.
Uses the Parabolic SAR to detect “flip” points (when SAR crosses price), marking micro-trend reversals.
Micro-Trend Extremes
Tracks the highest high after a bullish flip (SAR below price) and the lowest low after a bearish flip (SAR above price).
These extremes feed into the stop-loss approximation.
Approximate Stop-Loss (“SL aprox”)
If SAR is below price (bullish), SL ≔ (micro-trend high − current SAR).
If SAR is above price (bearish), SL ≔ (current SAR − micro-trend low).
Leverage Calculation
User-defined “UR in USD” input.
Computes leverage as UR ÷ SL, giving you an estimate of position sizing potential.
On-Chart Signals
BUY label at each bullish flip, with SL and leverage printed.
SELL label at each bearish flip, likewise showing SL and leverage.
Customizable UI
Inputs to toggle display of SL, leverage, or both.
Choose your UR value, panel background/text colors, and BUY/SELL label colors.
Panel position fixed at top-right by default, showing a 2×3 table:
Header row (“Metric” / “Value”)
“SL aprox” row
“Leverage” row
Visuals
Plots the slow EMA colored by trend.
Draws SAR as crosses.
Bar colors shade green/red according to bullish/bearish conditions.
Semi-transparent, styled panel for quick glance of key metrics.
This indicator combines trend filtering, automated stop-loss sizing, and leverage guidance into a single, fully-configurable Pine Script tool—giving you clear on-chart signals plus a neat metrics panel for streamlined decision-making.
DCA OptimizedMonthly or Daily DCA strategy, with adjustable capital allocation percentages at the beginning of each quarter (January, April, July, and October) as well as for the other months of the year. Capital allocation settings are also customizable for daily DCA.
The strategy consists of performing annual DCA, taking profits at the end of the year, specifically on December 31st of each year, and repeating the process the following year.
If the year ends with an unrealized loss on the total invested, hold the assets until December 31st, until the asset is in profit.
Purchases are made on the first day of each month, at the daily opening price. The same applies to monthly or daily DCA (daily opening price).
By default, it is recommended to invest twice as much at the beginning of each quarter (January/April/July/October) compared to other months of the year. This allows you to optimize the average acquisition price over the long term, thus maximizing profits and reducing potential unrealized losses.
Example: January/April/July/October > 12.5% of the capital / Other months of the year > 6.25% of the capital (Total over 12 months = 100%)
You can select/unselect the months of the year in which to invest as you wish to optimize your periodic preferences.
Correction Candle CounterIndicator that identifies “correction” candles using the classic 3-1-3 pattern, highlights them with customizable colors and arrow markers, and tallies occurrences across all data, a selected year, or any defined month range. Flexible styling and date-filter options make it ideal for quick, focused analysis.
