Pivots MTF -WinCAlgo/// 🇬🇧
Pivots MTF -WinCAlgo is a precision-engineered Price Action tool designed to declutter your chart while providing a comprehensive view of market equilibrium points across multiple timeframes.
Unlike standard Pivot indicators that often flood the screen with too many lines or restrict you to a single timeframe, this tool consolidates Daily, Weekly, Monthly, Quarterly, and Yearly central pivots into a clean, "Step-Line" visual format with an intelligent status dashboard.
It is built for traders who focus on Bias and Equilibrium rather than just S/R lines.
1. Multi-Timeframe Central Pivots (Step-Line Technology)
* Displays Daily (D), Weekly (W), Monthly (M), Quarterly (Q), and Yearly (Y) pivots simultaneously.
* Infinite History: Uses a specialized plot logic instead of limited lines, allowing you to see the pivot history as far back as data exists without gaps.
* Step-Line Visual: Levels remain flat and constant throughout their respective periods (e.g., the Daily pivot draws as a straight line from 00:00 to 23:59), creating a clear "ladder" of price levels.
2. Intelligent Status Dashboard (Auto-Sorting)
* Smart Sorting: The on-chart table automatically sorts all active pivot levels by price (Highest to Lowest). This creates an instant "Support & Resistance Ladder" regardless of the timeframe.
* Dynamic Coloring: Levels in the table light up Green (Support) if the price is above them, or Red (Resistance) if the price is below.
* Touched vs. Naked: The table tracks whether price has tested the level in the current period. "Naked" levels (untested) often act as strong magnets for price action.
3. Optional Deviations (S1 / R1)
* Includes a toggle for Deviations (S1 & R1) for each timeframe.
* Calculated using classic pivot logic based on the previous period's Close:
- R1 = (2 * Pivot) - Low
- S1 = (2 * Pivot) - High
* Deviations are drawn as dashed lines to distinguish them from the main trend bias.
4. Performance & Customization
* History Limit: Adjustable history depth for line objects to ensure maximum chart performance.
* Hybrid Design: Combines the infinite history of plot drawings with the precision of line objects.
* Visual Control: Fully customizable colors, line widths, and table position/size.
* Trend Bias: If price is holding above the Daily and Weekly central pivots, the immediate bias is Bullish.
* Targeting: Use "Naked" pivots shown in the table as high-probability take-profit targets or reversal zones.
* Confluence: Look for areas where a higher timeframe pivot (e.g., Monthly) overlaps with a lower timeframe pivot (e.g., Daily) to identify critical structural levels.
Developed by WinCAlgo. Feel free to use and incorporate into your strategies.
מחזורים
ETH Dynamic Risk Strategy# ETH Dynamic Risk Strategy - Publication Description
## Overview
The ETH Dynamic Risk Strategy is a systematic approach to accumulating Ethereum during bear markets and distributing during bull markets. It combines multiple risk indicators into a single composite metric (0-1 scale) that identifies optimal buying and selling zones based on market conditions.
## Key Features
• **Multi-Component Risk Metric**: Combines 4 weighted indicators to assess market conditions
• **Tiered Buy/Sell System**: 3 levels of buy signals (L1, L2, L3) and 3 levels of sell signals based on risk thresholds
• **Configurable Filters**: Optional buy filters to reduce signal frequency by 30-50%
• **Visual Risk Zones**: Color-coded risk metric plot with clear threshold lines
• **Comprehensive Dashboard**: Real-time statistics including position size, P/L, and component scores
## How It Works
### Risk Components (Configurable Weights)
1. **Log Return from ATH** (Default: 35%)
- Tracks drawdown from all-time high over lookback period
- Deep drawdowns (-70% to -90%) = low risk / buying opportunity
- Near ATH (0% to -20%) = high risk / selling opportunity
2. **ETH/BTC Ratio** (Default: 25%)
- Measures ETH strength relative to Bitcoin
- Below historical average = ETH undervalued = low risk
- Above historical average = ETH overvalued = high risk
3. **Volatility Regime** (Default: 20%)
- Compares current volatility to long-term average
- Compressed volatility at lows = opportunity
- Expanded volatility at highs = danger
4. **Trend Strength** (Default: 20%)
- Uses multiple EMA alignment and slope analysis
- Strong downtrends = low risk scores
- Strong uptrends = high risk scores
### Trading Logic
**Buy Signals:**
- L1: Risk ≤ 0.30 → Buy $100 (default)
- L2: Risk ≤ 0.20 → Buy $250 total
- L3: Risk ≤ 0.10 → Buy $450 total
**Sell Signals (Sequential):**
- L1: Risk ≥ 0.75 → Sell 25% of position
- L2: Risk ≥ 0.85 → Sell 35% of remaining
- L3: Risk ≥ 0.95 → Sell 40% of remaining
**Buy Filters (Optional):**
- Minimum days between buys (prevents clustering)
- Minimum risk drop required (ensures falling risk)
- Toggle on/off to compare performance
## Settings Guide
### Risk Components
Toggle individual components on/off and adjust their weights. Total weight is automatically normalized. Experiment with different combinations to match your market view.
### Advanced Settings
- ATH Lookback: How far back to look for all-time highs (500-2000 recommended)
- Volatility Period: Window for volatility calculations (40-100 recommended)
- ETH/BTC MA Period: Moving average for ratio comparison (100-300 recommended)
- Trend Period: Base period for trend calculations (50-150 recommended)
### Trading Thresholds
Customize buy/sell trigger points and position sizes. Lower buy thresholds = more aggressive accumulation. Higher sell thresholds = holding longer into bull markets.
### Buy Filters
- Enable/disable filtering system
- Min Days Between Buys: Spacing between purchases (1-3 recommended)
- Min Risk Drop: How much risk must fall (-0.001 to -0.01 range)
## Best Practices
• **Timeframe**: Works best on daily (1D) and 3-day (3D) charts
• **Initial Capital**: Set based on your DCA budget (default $10,000)
• **Backtest First**: Test different parameter combinations on historical data
• **Position Sizing**: Adjust buy amounts to match your risk tolerance
• **Monitor Filters**: Check "Filtered Buys" stat to ensure filter isn't too strict
## Use Cases
- Long-term ETH accumulation strategy
- Systematic DCA with market-adaptive buying
- Risk-based portfolio rebalancing
- Educational tool for understanding crypto market cycles
## Disclaimer
This strategy is for educational purposes only. Past performance does not guarantee future results. Cryptocurrency trading involves substantial risk. The strategy uses historical price action and technical indicators which may not predict future movements. Always do your own research and never invest more than you can afford to lose.
## Credits
Strategy concept and development by nakphanan with assistance from Claude AI (Anthropic). Built using Pine Script v5....Mostly from Claude AI!!!
## Version History
v7.0 - Initial release with 4-component risk metric, tiered trading system, and optional buy filters
Magic 13 for China Stock MarketPrice Exhaustion Counter - 9/13 Signals
This indicator tracks consecutive closes relative to their 4-bar precedent, identifying potential trend exhaustion points.
KEY FEATURES:
- Counts consecutive higher/lower closes up to 9
- Extends counting to 13 for confirmation signals
- Customizable early warning display (counts 5-8)
- Background highlighting for approaching signals
- Clean, non-overlapping label placement
SIGNAL GUIDE:
- Counts 5-8 (orange): Early momentum warning
- Count 9 (purple/green badge): Primary exhaustion signal
- Counts 10-13 (green/purple): Extended momentum - stronger reversal potential
CUSTOMIZATION:
- Toggle early signals visibility
- Adjust label offset for clarity
- Enable/disable background hints
- All timeframes supported
Identifies high-probability reversal zones based on consecutive price action.
Market State Intelligence [Interakktive]Market State Intelligence (MSI) is a diagnostic market-context indicator that reveals how the market is behaving — not where price "should" go.
MSI does not generate buy/sell signals. Instead, it classifies market conditions into clear behavioural regimes by continuously measuring:
- DRIVE (directional effort)
- OPPOSITION (absorption / resistance)
- STABILITY (structural persistence)
MSI is designed to answer three practical questions:
- What state is the market in right now?
- Is energy building, releasing, or decaying?
- Is participation aligned with price, or opposing it?
█ WHAT MSI DOES
MSI operates as a real-time regime classification engine that processes each closed bar through three independent measurement systems:
DRIVE — Directional Effort (0–100)
- Displacement efficiency (net progress vs total path)
- Range expansion quality (actual range vs expected ATR range)
- Body dominance (body vs candle range)
OPPOSITION — Absorption / Resistance (0–100)
- Wick pressure (rejection relative to attempt)
- Effort–result gap (high effort, low progress)
- Reversal density (counter-moves frequency)
STABILITY — Persistence (0–100)
- Condition persistence (how long conditions hold)
- Variance score (flip frequency)
- Follow-through consistency (reaction continuity)
These three forces feed a deterministic classifier with hysteresis (anti-flicker) to identify five regimes:
COMPRESSION — low drive, low opposition, higher stability (pressure building, direction unclear)
EXPANSION — high drive, low opposition (directional energy release)
TREND — medium-high drive, higher stability, low-medium opposition (healthy continuation)
DISTRIBUTION — medium drive, high opposition (effort absorbed; progress blocked)
TRANSITION — rapidly rising opposition, low stability (regime breakdown / uncertainty)
█ WHAT MSI DOES NOT DO
- No buy/sell signals, entries/exits, or performance claims
- No prediction of future direction
- No repainting: calculations use closed-bar data only
MSI is a market state layer intended to support your execution framework.
█ VISUAL SYSTEM
MSI uses a layered visual grammar designed to remain readable on live charts:
Regime Ribbon
A thin horizontal band showing the current regime via colour. Ribbon opacity reflects regime confidence (stronger confidence = more visible).
Pressure Envelope (core visual)
A soft corridor around price that expands with Drive and becomes more visible as Opposition increases. This visualises "pressure thickness" around current action (not a volatility band for entries).
Structural Memory
Faint background stains appear where regimes previously failed (e.g., expansion collapsing into absorption). These are behavioural context zones showing where market intention was rejected — not support/resistance.
Regime Change Markers (optional)
Subtle labels appear when regimes transition after confirmation. Useful for replay and education.
Effort Halo (optional)
Candle highlighting when Opposition materially exceeds Drive, indicating absorption/inefficiency.
█ HUD PANEL
The HUD displays:
- Current regime name + colour indicator
- A context gate showing whether conditions are aligned with long-bias or short-bias context (not an entry/exit system)
█ REGIME LEGEND
When enabled, displays:
- A one-line definition of the current regime
- Live Drive / Opposition / Stability values for interpretation
█ TIME-TO-DECISION METER
A visual pressure gauge that tends to fill during Compression (energy building) and drain during Expansion (energy releasing). It is a state-tracking meter, not a timing tool.
█ SETTINGS
MSI — Settings
- Preset Mode: Scalper / Swing / Position
- Analysis Mode (Minimal): ON = subtle visuals, OFF = full intensity
- Regime Ribbon, Structural Memory, HUD Panel, Time-to-Decision Meter, Effort Halo
MSI — Visual Options
- Show Regime Changes: Labels when regime transitions occur
- Show Regime Legend: Definition and live values display
- Panel Position: Move the entire panel anywhere on chart
MSI — Advanced (Tuning)
- Sensitivity (0.5–2.0)
- Smoothing (0.5–2.0)
- Memory Decay (0.5–2.0)
- Visual Intensity (Low / Medium / High)
█ PRESETS EXPLAINED
Scalper
Higher sensitivity + lower smoothing + faster memory decay. Best for 1m–15m monitoring.
Swing (default)
Balanced behaviour. Best for 15m–4H analysis.
Position
Lower sensitivity + higher smoothing + slower memory decay. Best for 4H–1D macro context.
█ STRUCTURAL MEMORY
When a regime fails (example: Expansion → Distribution), MSI creates a memory imprint:
- Fixed stain window (preset dependent)
- Strength decays over time
- Limited to a maximum number of imprints to reduce chart clutter
These zones represent behavioural rejection, not levels.
█ SUITABLE MARKETS
MSI is designed for Forex, Crypto, Indices, Stocks, and Commodities.
Works from intraday to Daily, with particularly strong readability on 15m–4H.
█ DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice, trading recommendations, or solicitation. Trading involves substantial risk. Always use proper risk management and make independent decisions.
Lindsey Measured Move Price TargetsLindsey is a pivot-structure target tool that auto-maps a simple 3-point swing sequence (P1 → P2 → P3) and projects a symmetry-based target (P4), then prints it as a clean “🎯” balloon on your chart. It’s designed to give traders a fast, repeatable way to visualize where the next measured move could resolve—without cluttering the price action.
How it works
The script detects pivot highs/lows using your chosen Left/Right Swing Bars (pivot confirmation).
It tracks a three-point structure:
Bull case: P1 = pivot low, P2 = pivot high, P3 = higher pivot low
Bear case: P1 = pivot high, P2 = pivot low, P3 = lower pivot high
Once a valid P3 prints, it calculates a projected target:
Bull target: P4 = P2 + (P2 − P3)
Bear target: P4 = P2 − (P3 − P2)
The target is displayed as a right-shifted balloon, so you can keep it visible ahead of current candles.
How to operate it (practical workflow)
Set Swing Sensitivity
Left Swing Bars / Right Swing Bars control how “strict” pivots are.
Lower values = more signals (noisier). Higher values = fewer, cleaner structures.
Place the balloon where you want it
Balloon Right Offset (bars) moves the 🎯 label forward in time for readability.
Vertical Offset nudges the label up/down in price units to avoid overlapping candles or other tools.
Lock or keep it live
Turn Lock Target Balloon ON to keep the last target fixed on-chart.
Leave it OFF to always display the most recent valid projection.
Style it to your theme
Customize bull/bear balloon colors, text color, and P1/P2/P3 marker colors.
Why it’s useful (benefits)
Clear targets without guesswork: turns swing structure into a consistent measured-move projection.
Less chart noise: one readable target balloon instead of multiple lines and annotations.
Works across assets/timeframes: pivots adapt naturally to volatility and timeframe.
Trader-friendly controls: offset + vertical spacing + lock mode make it easy to integrate with existing layouts.
Notes / best practices
Pivots confirm after the right-side bars complete—so targets are intentionally non-repainting in structure detection, but they appear with that normal pivot confirmation delay.
For choppy ranges, increase pivot bars to reduce whipsaw targets; for trends, slightly lower them to catch more swing opportunities.
Po3 Candle OpensMarks out the 9:30 / 9:45 / 10:00 / 10:15 / 10:30 candle opening.
You can turn off certain times in the settings, if not needed.
The colors are also customizable.
RSI Ladder TP Strategy v1.0 Overview
This strategy is an RSI-based reversal entry system with a ladder-style take-profit mechanism.
It supports Long-only, Short-only, or Both directions and provides optional Average Entry Price, Stop Loss, and Take Profit reference lines on the chart.
Entry Rules
Long Entry: RSI crosses above the Oversold level (default: 20).
Short Entry: RSI crosses below the Overbought level (default: 80).
Optional: If enabled, the script will close the current position when an opposite signal appears before opening a new one.
Exit Rules (Ladder Take Profit)
Take profit is placed as a ladder using tpLevels and tpStepPct.
Example (default tpStepPct = 1%, tpLevels = 10):
TP1 at +1%, TP2 at +2%, … TP10 at +10% (relative to current average entry price).
Each TP level closes tpClosePct of the remaining position, meaning it scales out geometrically:
If tpClosePct = 50% → remaining position becomes 50%, then 25%, then 12.5%, etc.
Stop Loss
Optional stop loss is placed at slPct (%) away from the average entry price:
Long: avg * (1 - slPct%)
Short: avg * (1 + slPct%)
Visual Lines
Average Entry Price Line: current strategy.position_avg_price
Stop Loss Line: based on slPct
Next TP Line: shows the estimated next TP level based on current profit%
All TP Lines: optional (can clutter the chart)
==============================================================
Recommended Use
This strategy is best used on markets with strong mean-reversion behavior.
For exchanges/bots that do not support hedge mode in a single strategy, run two separate instances:
One set to Long Only
One set to Short Only
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
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
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.
Balanced 0DTE Scalper [Clean]Balanced 0DTE Scalper is a professional-grade execution system designed specifically for the high-velocity world of 0DTE (Zero Days to Expiration) options trading on indices like SPY, QQQ, and IWM.
Unlike standard indicators that repaint or lag, this system uses Non-Repainting Multi-Timeframe Logic to align the institutional trend (15m) with precision entry triggers (5m). It is engineered to solve the two biggest killers of 0DTE traders: Theta Decay (holding too long) and Choppy Markets (trading without trend).
How It Works
1. The "Safety Belt" (15-Minute Trend Filter) Before any trade is taken, the system checks the confirmed 15-minute Trend and ADX (Strength).
No Repainting: It strictly uses the previous closed 15m bar to determine bias. Once a signal prints, it stays printed.
Regime Detection: It automatically blocks trades during low-volume "chop" (Low ADX) to save you from theta burn.
2. Precision Entry Triggers (5-Minute) Once the 15m trend gives the "Green Light," the system hunts for 5m setups using a confluence of:
EMA Crossovers: For immediate momentum.
VWAP Filter: Ensuring you are on the right side of institutional volume.
RSI Check: To avoid buying tops or selling bottoms.
3. Aggressive Risk Management (The "Profit Locker") 0DTE profits can vanish in seconds. This script manages the trade for you visually:
Dynamic Trailing Stop: Trails price based on candle Highs/Lows (not closes), allowing it to lock in profits at the peak of a spike.
Time Stop: If a trade stalls for 60 minutes (12 bars), the system triggers a "Time Exit." In 0DTE, time is money—if it's not working, get out.
Visual Levels: Automatically draws your Stop Loss, Target 1 (Conservative), and Target 2 (Runner) lines on the chart.
Features & Dashboard
Live Dashboard: Monitors Trend Bias, ADX Strength, RSI, and Open PnL in real-time.
On-Chart Tickets: Prints a "CALL OPEN" or "PUT OPEN" label with the exact Entry Price, Stop Loss, and Strike Suggestion.
Session Filters: Automatically avoids the first 10 minutes (Open Volatility) and the last 15 minutes (Close Chaos).
Settings Guide
Risk Mode:
Balanced (Default): The recommended blend of Trend + Momentum.
Conservative: Requires a very strong ADX trend. Fewer trades, higher win rate.
Aggressive: Ignores ADX strength. Good for FOMC/CPI days only.
Strike Suggestion: Automatically calculates the nearest Strike Price (ATM/OTM) for SPY/QQQ based on your settings.
Disclaimer
This tool is for educational purposes only. 0DTE options trading involves extreme risk of capital loss. Past performance (even with non-repainting logic) is not indicative of future results. Always manage your risk.
Fractal HTF Lines The indicator “Fractal HTF Lines” draws time‑based vertical lines that mark where higher‑timeframe periods start on your chart. It adapts its behavior to the timeframe you are currently viewing.
4‑hour timeframe
On a 4‑hour chart, the indicator draws a vertical line on the first 4‑hour bar of each new trading day. This lets you quickly see where one day ends and the next begins without turning on session breaks.
Daily timeframe
On a daily chart, the indicator draws a vertical line on the first trading day of each new week. Visually, this separates weeks so you can see weekly structure while still trading and analyzing on the daily timeframe.
Weekly timeframe
On a weekly chart, the indicator draws a vertical line on the first trading week of each new month. That way you can identify monthly boundaries directly on the weekly chart and better align your analysis with monthly cycles.
Customization
The indicator includes settings to control:
Line color: You can choose any color from the palette.
Line width: You can adjust the thickness to make lines more or less prominent.
Line opacity: You can make lines more transparent or more solid, depending on how strong you want the visual emphasis.
ZLT - Date and Time MarkerPine Script v5 indicator called “DateTime Marker” that overlays on the chart and marks bars whose timestamp matches a user-defined schedule. When a bar “matches,” it can draw:
a vertical line through the bar,
a label with a time/date string, and
a triangle marker below the bar (always plotted on matches).
What you can configure
Marker Type (the matching rule)
You choose one of five modes:
Every Minute
Inputs: everyNMinutes (default 15), minuteOffset (default 0)
Match condition: minute % everyNMinutes == minuteOffset
Example with defaults: marks bars at :00, :15, :30, :45 each hour.
Hourly
Inputs: everyNHours (default 4), hourlyMinute (default 0)
Match condition: hour % everyNHours == 0 AND minute == hourlyMinute
Example with defaults: marks bars at 00:00, 04:00, 08:00, 12:00, 16:00, 20:00 (at minute 00).
Daily Time
Inputs: dailyHour (default 10), dailyMinute (default 0)
Match condition: hour == dailyHour AND minute == dailyMinute
Example with defaults: marks 10:00 every day.
Weekly Day & Time
Inputs: weekDay (default Tuesday), weeklyHour (default 16), weeklyMinute (default 0)
It converts the weekday name to Pine’s dayofweek number via getDayNumber().
Match condition: dayofweek == targetDay AND hour == weeklyHour AND minute == weeklyMinute
Example with defaults: marks Tuesday 16:00.
Monthly Date & Time
Inputs: monthlyDay (default 2), monthlyHour (default 23), monthlyMinute (default 0)
Match condition: dayofmonth == monthlyDay AND hour == monthlyHour AND minute == monthlyMinute
Example with defaults: marks the 2nd day of each month at 23:00.
Visual settings
showLine: whether to draw the vertical line.
lineStyle: Solid/Dashed/Dotted (mapped to Pine line styles by getLineStyle()).
lineColor, lineWidth: styling for the line (width is rounded to an integer because Pine line width is integer).
showLabel: whether to draw a label.
labelColor: background color of the label (text is forced white).
What happens when a bar matches
When isMatch becomes true on a bar:
Vertical line: line.new() at that bar’s bar_index, from low to high, extended extend.both (so it spans the full chart vertically).
Label: label.new() at the bar’s high, with mode-specific text:
Minute/Hourly/Daily: "HH:mm"
Weekly: "Tuesday HH:mm" (or whatever day selected)
Monthly: "Day 2 - HH:mm" (or chosen day)
Triangle marker: plotshape() draws a triangle up below the bar on every match (this happens regardless of showLine / showLabel).
Important practical implications
This uses the bar’s exchange/chart time (TradingView’s time, hour, minute, etc.), so results depend on the symbol/session and chart timezone settings.
On timeframes coarser than 1 minute, “Every Minute” still checks only the bar’s timestamp minute value; it won’t mark intra-bar minutes that don’t exist as separate bars.
Because it can create many objects (lines/labels), it sets max_labels_count=500. Lines are not capped here, so very dense marking can still clutter the chart.
If you tell me your intended use (e.g., “mark NY open,” “mark every 15m candle close,” “mark macro events weekly”), I can point out whether the current matching logic fits that precisely or needs adjustments (sessions, timezones, avoiding duplicates, limiting lines, etc.).
TZ - India VIX Volatility ZonesTZ – India VIX Volatility Zones is a long-term volatility analysis indicator designed to visually map important India VIX regimes using clearly defined horizontal zones and labels.
The indicator highlights how market volatility cycles between complacency, normal conditions, elevated risk, and panic phases. These zones are based on historical behavior of India VIX and help traders understand when risk is underpriced or overstretched.
This tool is especially useful for:
Index traders
Options sellers and buyers
Risk management and regime filtering
Long-term volatility study
How It Works
The script plots static, historically significant volatility zones on the India VIX chart and visually separates them using shaded bands and labels.
Volatility Zones Explained
1.Extreme Low Volatility (VIX 8–10)
Indicates market complacency and underpriced risk. Often precedes volatility expansion.
2.Low Volatility (VIX 10–13)
Stable market conditions with controlled movement.
3.Normal Volatility (VIX 13–18)
Healthy market behavior and balanced risk.
4.High Volatility (VIX 18–25)
Rising uncertainty and increased intraday swings.
5.Panic Zone (VIX 25–35+)
High fear environment, usually during major events or crises.
How Traders Can Use This Indicator
Identify volatility regimes before choosing option strategies
Avoid aggressive short-volatility trades during extreme zones
Prepare for volatility expansion during low-VIX phases
Use as a market risk context tool alongside price action
This indicator does not provide buy/sell signals. It is designed for contextual analysis and decision support.
Best Usage
Apply on India VIX (NSE:INDIAVIX)
Works best on Weekly and Monthly timeframes
Can be combined with index charts for volatility-based risk assessment
Disclaimer
This indicator is for educational and analytical purposes only.
It does not constitute financial advice or trade recommendations.
Users should apply proper risk management and confirm signals using additional analysis.
Pivot Edge ProOverview
Smart Pivot Analytics is a highly accurate technical analysis tool designed to identify and validate significant price levels. Unlike standard pivot indicators that only mark recent highs, this tool backtests each identified pivot against thousands of historical candlesticks to calculate its real-world “success rate.”
Key Features
Historical Backtesting: The indicator scans up to 4,900 historical columns to find every instance where price interacted with a specific pivot level.
Strength Score (%): Each level is assigned a percentage score based on its reversal rate. It calculates how many times the price has successfully reached and rejected the level, providing a statistical “hit rate.”
Dynamic Hit Counter: Displays the exact number of times a level has been tested (hit), helping traders distinguish between new levels and established “old” levels.
Smart Filtering: To keep the chart clean, the indicator automatically filters out weak levels and prevents “clutter” by merging levels that are too close together.
Infinite Left Projection: Lines extend left to infinity, allowing traders to see the historical significance of a level across the entire price history at a glance.
How to Trade with It
Red Levels (High Power > 75%): These are “Top Reaction Zones”. Expect a strong price rejection or significant breakout when these levels are tested.
Orange Levels (Medium Power): Suitable for profit targets or as secondary confirmation for entering a trade.
Encounter: Use these levels in conjunction with your existing strategy. When a high power pivot aligns with your entry signal, the probability of a successful trade increases significantly.
Technical Parameters
Lookback Period: Defines how far back in history the script calculates power.
Touch Radius: The "sensitivity" of the level (how close the price has to get to be considered a "hit").
Minimum Strength: A filter to show only the most reliable levels.
Watchlist Auto Buy/Sell AlertsTrial for the best. This indicator is built to assess the chart and make it easier for traders to identify coins that are available for trading and minimize losses.
Drawdown % + STD Bands: Log-Scale Macro ToolDrawdown % + STD Bands: Log-Scale Macro ToolDescription: The exact indicator big-macro accounts use: tracks real-time drawdown from the rolling 252-period peak, then plots -1σ (blue) and -2σ (orange) bands on a clean percent scale. Built for weekly charts-shows if a stock, index, or crypto is statistically cheap (hit -1σ) or generational-buy territory (-2σ). Works flawlessly on SPX, Nasdaq, Bitcoin, Gold, Tesla... anything. How to Use (read it aloud like a voice memo): 1. Slap this under any chart, set to weekly timeframe . 2. Flip the price pane to log scale -zero negotiations. 3. Watch the thick red line: • Hovering 0 %? Bullish noise, chill. • Kissing blue (-10 % to -25 %)? Start loading-happens every 1-2 years. • Touching orange (-30 %+)? Panic sale finished. Buy like rent money's burning a hole. 4. Zoom out five-ten years; monthly works too if you want lazy vibes. Daily? Trash-too twitchy. Pro tip: Name your watchlist Panic Plays, drop this in, and ping me when MELI or GOOGL hits orange. I'll confirm if it's actually stupid-cheap.
Last 30 days 9-12 avg range NYaverage range for NY time 9-12 in last 30 days. 9-12 will be highlighted and turn red on the 5m chart when price reaches a range bigger than the average in the last 30 days for that time.
Daily High Low XAUUSD by RizalIndikator ini untuk mengetahui high low daily chart XAUUSD di timeframe 4h
ICT ORB Killzones by MaxN (15 / 30m)Trading session London, Asia, New York
orb 15/30 min selectable breakout zones with buy/sell signals
HS:- HA+BIAS📝 Daily Bias + Heikin Ashi Step Line (Notes)
1️⃣ Indicator Purpose
Combines Daily Market Bias with Heikin Ashi Average
Displays HA average as a STEP LINE WITH BREAKS
HA line changes color based on bias
Works on any timeframe
Bias logic is always calculated from Daily data
2️⃣ Heikin Ashi Calculation
Uses Heikin Ashi candles internally
Does not change chart candles
Formula used:
HA Average = (HA Open + HA Close) / 2
Provides a smoother price reference than normal candles
3️⃣ Daily Reference Levels
Uses previous day:
High
Low
These levels define market structure
Fetched using Daily timeframe regardless of chart timeframe
4️⃣ Positive Bias Condition (Bullish)
Bias becomes POSITIVE only when both conditions are true:
Today Close > Previous Day High
Today Low > Previous Day Low
📌 Indicates strong bullish control
5️⃣ Negative Bias Condition (Bearish)
Bias becomes NEGATIVE only when both conditions are true:
Today Close < Previous Day Low
Today High < Previous Day High
📌 Indicates strong bearish control
6️⃣ Bias Hold Rule (Most Important)
Bias does NOT flip frequently
Bias remains unchanged until:
Both opposite conditions are satisfied
Prevents false signals during sideways markets
Bias Values:
+1 → Positive
-1 → Negative
0 → Neutral
7️⃣ Bias Memory Concept
Bias is stored using a state variable
Previous bias is carried forward when no condition is met
Ensures stable trend direction
Sector Rotation ULTIMATE: 7 Narrativas IndependientesSector Rotation ULTIMATE: Crypto Narrative Rotation (7 Independent Sectors)
Advanced indicator displaying the relative strength of major crypto sectors through 7 independently normalized lines (0-100):
• Layer1 (ETH, SOL, BNB, TON, etc.) - Pink
• Enterprise (XRP, HBAR, XLM, QNT, VET) - Yellow
• DeFi (UNI, AAVE, MKR, LDO, CRV, etc.) - Cyan
• Memecoins (SHIB, DOGE, PEPE, WIF, FLOKI, BONK) - Green
• AI (TAO, FET, ICP, GRT, etc.) - Orange
• L2 / Scalability (ARB, OP, MATIC, STRK) - Purple
• RWA + Infra (ONDO, LINK) - Brown
Each sector sums the dominance of its top coins (40 total) and is normalized independently so the lines cross constantly, revealing real capital rotations.
- Colored fills to visually highlight the leading sector
- Works perfectly on any timeframe (clean daily data, no intraday noise)
- Ideal for spotting altseason, sector rotations, and entry timing
Use on CRYPTOCAP:TOTAL. The definitive narrative oscillator for 2026!
#Crypto #Altcoins #SectorRotation #DeFi #Memecoins #AI #RWA
4MA / 4MA[1] Forward Projection with 4 SD Forecast Bands4MA / 4MA Projection + 4 SD Bands + Cross Table is a forward-projection tool built around a simple moving average pair: the 4-period SMA (MA4) and its 1-bar lagged value (MA4 ). It takes a prior MA behavior pattern, projects that structure forward, and wraps the projected mean path with four Standard Deviation (SD) bands to visualize probable future price ranges.
This indicator is designed to help you anticipate:
Where the MA structure is likely to travel next
How wide the “expected” future price corridor may be
Where a future MA4 vs MA4 crossover is most likely to occur
When the real (live) crossover actually prints on the chart
What you see on the chart
1) Live moving averages (current market)
MA4 tracks the short-term mean of price.
MA4 is simply the previous bar’s MA4 value (a 1-bar lag).
Their relationship (MA4 above/below MA4 ) gives a clean, minimal read on trend alignment and directional bias.
2) Projected MA path (forward curve)
A forward “ghost” of the MA structure is drawn ahead of price. This projected curve represents the indicator’s best estimate of how the moving average structure may evolve if the market continues to rhyme with the selected historical behavior window.
3) 4 Standard Deviation bands (predictive future price ranges)
Surrounding the projected mean path are four SD envelopes. Think of these as forecast corridors:
Inner bands = tighter “expected” range
Outer bands = wider “stress / extreme” range
These bands are not a guarantee—rather, they’re a structured way to visualize “how far price can reasonably swing” around the projected mean based on observed volatility.
4) Vertical projection lines (most probable cross zone)
Within the projected region you’ll see vertical lines running through the bands. These lines mark the most probable zone where MA4 and MA4 are expected to cross in the projection.
In plain terms:
The projected MAs are two curves.
When those curves are forecasted to intersect, the script marks the intersection region with a vertical line.
This gives you a forward “timing window” for a potential MA shift.
5) Cross Table (top-right)
The table is your confirmation layer. It reports:
Current MA4 value
Current MA4 value
Whether MA4 is above or below MA4
The most recent BUY / SELL cross event
When a real, live crossover happens on the actual chart:
It registers as BUY (MA4 crosses above MA4 )
Or SELL (MA4 crosses below MA4 )
…and the table updates immediately so you can confirm the event without guessing.
How to use it
Practical workflow
Use the projected SD bands as future range context
If price is projected to sit comfortably inside inner bands, the market is behaving “normally.”
If price reaches outer bands, you’re in a higher-volatility / stretched scenario.
Use vertical lines as a “watch zone”
Vertical lines do not force a trade.
They act like a forward “heads-up”: this is the most likely window for an MA crossover to occur if the projection holds.
Use the table for confirmation
When the crossover happens for real, the table is your confirmation signal.
Combine it with structure (support/resistance, trendlines, market context) rather than trading it in isolation.
Notes and best practices
This is a projection tool: it helps visualize a structured forward hypothesis, not a certainty.
SD bands are best used as forecast corridors (risk framing, range planning, and expectation management).
The table is the execution/confirmation layer: it tells you what the MAs are doing now.
