[Smith] VWAP Deviation + VWAP Deviation +
Short Description:
Advanced VWAP indicator with deviation bands, smart signal filtering, and session-based performance tracking. Features log-space scaling, RSI confirmation, volume filters, and market regime detection.
Full Description:
The VWAP Deviation + is a comprehensive trading indicator that combines Volume Weighted Average Price (VWAP) analysis with advanced signal filtering to identify high-probability trade opportunities. This indicator goes beyond basic VWAP by incorporating multiple confirmation layers and intelligent market analysis.
🎯 Key Features
Core VWAP Analysis:
- Custom volume-weighted mean calculation with deviation bands (2σ and 3σ)
- Optional log-space scaling for proportional price movements
- Real-time VWAP line with customizable visibility
Smart Signal Detection:
- RSI confirmation for all trade signals
- Volume filter requiring above-average trading activity
- Market regime detection (trending vs ranging markets)
- Optional RSI divergence analysis
Advanced Filtering:
- Multi-condition signal validation
- Session-based performance tracking (Asian, London, NY)
- Real-time win rate calculation
- Strong vs regular signal classification
Visual Features:
- Clean, professional interface with customizable colors
- Optional signal shapes and annotations
- Performance statistics table
- Filled deviation bands for easy visualization
📊 How It Works
The indicator identifies trade opportunities when:
1. Price touches VWAP deviation bands (2σ or 3σ)
2. RSI confirms oversold/overbought conditions
3. Volume exceeds the specified threshold
4. Market regime conditions are favorable
Signal Types:
- LONG : Price at lower bands + RSI oversold + volume confirmation
- SHORT : Price at upper bands + RSI overbought + volume confirmation
- STRONG : Same conditions but at 3σ bands for higher conviction trades
⚙️ Customization Options
Core Settings:
- VWAP length and source selection
- Adjustable deviation multipliers
- Log-space scaling toggle
Signal Filters:
- RSI length and threshold levels
- Volume filter with customizable multiplier
- Market type filtering options
Advanced Features:
- Session statistics tracking
- RSI divergence detection
- Market regime analysis
Visual Controls:
- Show/hide individual components
- Custom color schemes
- Signal display toggles
🔔 Alert System
Built-in alerts for:
- Long and short trade opportunities
- Strong signal confirmations
- RSI divergence signals
💡 Best Practices
- Use higher timeframes (15m+) for more reliable signals
- Combine with additional confirmation indicators
- Pay attention to session statistics for timing optimization
- Monitor market regime indicators for context
This indicator is suitable for day traders, swing traders, and anyone looking to improve their VWAP-based trading strategies with advanced filtering and market analysis.
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UT Bot + Supertrend ComboYour script is a **combined trading indicator** for TradingView that integrates the **UT Bot** and **Supertrend** strategies to generate buy and sell signals for financial markets. Here's a detailed breakdown of its functionality:
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### **1. Purpose**
The script aims to:
* **Detect buy and sell signals** using the UT Bot and Supertrend strategies.
* **Provide visual indicators** on the chart for easier decision-making.
* **Highlight trends** and issue alerts when significant conditions are met.
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### **2. Components**
#### **UT Bot**
* **Key Features**:
* Based on the ATR (Average True Range) for calculating dynamic stop-loss levels.
* Option to use **Heikin Ashi candles** for smoother signals.
* Produces buy and sell signals when the price crosses above or below a trailing stop level.
* **Inputs**:
* `ut_key_value`: Sensitivity of the trailing stop (multiplier of the ATR).
* `ut_atr_period`: The period for calculating the ATR.
* `ut_use_heikin_ashi`: A toggle to use Heikin Ashi candles instead of standard candles.
* **Logic**:
* Tracks price movements using ATR and dynamically adjusts stop levels.
* Generates:
* A **buy signal** when the price crosses above the trailing stop.
* A **sell signal** when the price crosses below the trailing stop.
#### **Supertrend**
* **Key Features**:
* Tracks the trend direction based on price and ATR.
* Highlights trends with color shading (green for uptrend, red for downtrend).
* Optional buy and sell signal plotting based on trend reversals.
* **Inputs**:
* `st_atr_period`: The period for ATR calculation.
* `st_multiplier`: Multiplier to determine the distance of the stop levels.
* `st_show_signals`: Toggle to show buy/sell signals.
* `st_highlighting`: Toggle for background trend highlighting.
* **Logic**:
* Tracks upward and downward trends.
* Generates:
* A **buy signal** when the trend shifts to bullish.
* A **sell signal** when the trend shifts to bearish.
---
### **3. Visual Features**
* **Buy and Sell Labels**:
* `UT Buy` and `UT Sell`: Show buy/sell signals based on UT Bot logic.
* `ST Buy` and `ST Sell`: Show buy/sell signals based on Supertrend logic.
* **Background Highlighting**:
* **Green shading** for uptrends in Supertrend.
* **Red shading** for downtrends in Supertrend.
---
### **4. Alerts**
Custom alerts for automation or notifications:
* **UT Bot Alerts**:
* Triggered when a buy or sell signal occurs.
* **Supertrend Alerts**:
* Triggered on trend reversals.
---
### **5. Flexibility**
* Adjust sensitivity and performance through inputs.
* Combine UT Bot and Supertrend for **confirmation-based trading strategies**.
* Enable/disable highlighting or signals for customization.
---
### **Use Cases**
* Ideal for traders looking for automated trend-following signals.
* Works well in **volatile markets** due to ATR's adaptability.
* Can be used to confirm trades by aligning signals from both strategies.
---
Let me know if you need additional modifications or further clarification!
Dynamic Laguerre Filter Bands | OttoThis indicator combines trend-following and volatility analysis by enhancing the traditional Laguerre filter with a dynamic, volatility-adjusted band system. Instead of using fixed thresholds, the bands adapt in real-time to changing market conditions by applying smoothed standard deviation calculations. This design keeps the indicator responsive to significant price movements while effectively filtering out short-term market noise, resulting in more accurate trend identification and breakout signals.
Core Concept
The indicator is built around the following key components:
Laguerre Filter:
The Laguerre filter is designed to smooth out price data by reducing market noise while still being quick enough to detect real changes in price direction. Its goal is to create a clear, smooth trend line that helps traders/investors focus on the overall market trend without getting distracted by small, random price swings.
It uses a parameter called gamma to control how it balances smoothness and responsiveness:
A lower gamma gives more weight to recent price data, making the filter react faster to new price changes. This means the trend line is more sensitive but may also be less smooth and more prone to small fluctuations.
A higher gamma gives more weight to past price data, making the filter smoother and less sensitive to quick changes. This helps reduce noise and produces a steadier trend line, but it also introduces more lag, meaning the filter reacts slower to new price moves.
By adjusting gamma, the Laguerre filter lets you choose the balance between following price changes quickly and having a stable, noise-free trend signal.
Standard Deviation:
shows how much price varies from the mean. In this indicator, it’s used to measure market volatility.
Volatility Bands: The upper and lower bands are based on an EMA-smoothed standard deviation of price. The EMA reduces sudden jumps in volatility, creating smoother and more stable bands that still respond to changing market conditions. These bands are plotted around the Laguerre filter line, expanding and contracting in a controlled way to stay aligned with real market movement while avoiding short-term noise.
Signal Logic:
A long signal is triggered when the close price crosses above the upper band.
A short signal occurs when the close price falls below the lower band.
⚙️ Inputs
Source: Price source used in calculations
Gamma: Adjusts how much the Laguerre filter responds to price changes. Lower gamma values make the filter react more to recent prices, while higher values give more influence to older data, making the line smoother but slower to respond.
Volatility Length: Period used to calculate standard deviation
Volatility Smoothing Length: EMA smoothing length for standard deviation
Multiplier: Scales the width of the bands based on volatility
📈 Visual Output
Laguerre Filter Line: Plots the laguerre filter line, colored dynamically based on signal direction (green for bullish, purple for bearish)
Upper & Lower Bands: Volatility-based bands that adjust with market conditions. (green for bullish, purple for bearish)
Glow Effect: Optional glow layer to enhance visibility of the laguerre filter trend line (green for bullish, purple for bearish)
Bar Coloring: Candlesticks and bar colors reflect the active signal state for fast visual interpretation (green for bullish, purple for bearish)
How to Use
Apply the indicator to your chart and monitor for signal events:
Long Signal: When price closes above the upper band
Short Signal: When price closes below the lower band
🔔 Alerts
This indicator supports optional alert conditions you can enable for:
Long Signal: Close price crossing above the upper band
Short Signal: Close price crossing below the lower band
⚠️ Disclaimer:
This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
ATR % Line from Day LowHow can you make sure that you're not buying a stock that is too extended?
By limiting your buys to within a certain percentage of either the low-of-the-day (LoD) if you're going long, or to the high-of-the-day (HoD) if you're shorting a stock. This script will help you do just that.
Limiting stock purchases to within a certain percentage of the Average True Range (ATR) from the day's low or high is a risk management technique that offers several key benefits:
Risk Control and Position Sizing
By using ATR as a boundary, you're essentially creating a volatility-adjusted buffer. Since ATR measures recent price volatility, this approach prevents you from buying into stocks that have already moved significantly beyond their normal trading range. This helps avoid entering positions when the stock might be overextended and due for a pullback.
Improved Entry Timing
This strategy encourages patience and discipline. Rather than chasing a stock that's already run up substantially from its low, you wait for better entry points. For example, if you set a limit of 50% of ATR from the day's low, you're only buying when the stock hasn't moved more than half its typical daily range from the bottom.
Volatility Awareness
ATR naturally adjusts for each stock's individual volatility characteristics. A high-volatility stock might have an ATR of $2, while a low-volatility stock might have an ATR of $0.50. This approach scales your entry criteria appropriately for each security rather than using arbitrary dollar amounts.
Reduced Emotional Trading
Having a systematic rule removes the temptation to chase momentum or buy at poor technical levels. It forces you to wait for the stock to come back to more reasonable levels relative to its recent trading behavior.
Better Risk-Reward Ratios
By entering closer to the day's low (within your ATR percentage), you're typically getting a better risk-reward setup. Your stop loss (often placed below the day's low) will be tighter, while your potential upside remains intact.
This approach works particularly well for swing traders and those looking to enter positions on pullbacks or during consolidation periods rather than breakout scenarios.
To save valuable real estate on your chart, there's also an option that can give you a compact version of this indicator which will show only the "Current Day's Low/High" and "Target Price". "Target Price" being the price at which your max buy limit is based on the % ATR you choose in settings.
Haven Average Daily RangeOverview
This indicator is an enhanced version of the traditional ADR tool that adapts to intraday price movements. Unlike static ADR levels, this indicator dynamically adjusts its range boundaries based on real-time price action while maintaining the original ADR calculation framework.
Key Features
ADR calculation based on multiple periods (5, 10, and 20 days)
ADR levels displayed with automatic style changes upon range reach
Customizable display settings (color, line style)
Price labels for better visualization
The indicator helps traders assess the instrument's volatility, identify potential reversal zones, and plan daily trading targets.
Suitable for all timeframes up to D1 and any trading instrument.
How It Works
Session Start (UTC+0): Calculates ADR based on historical data and sets initial High/Low levels
Dynamic Phase: Monitors price action and adjusts the opposite boundary (ADR Low or High) when new extremes are reached.
When price creates new Day high price above the opening price, the ADR Low level moves upward proportionally.
When price creates new Day low price below the opening price, the ADR High level moves downward proportionally.
Completion Phase: Stops adjustments and highlights breach when price reaches either boundary
Trading Application
Entry and Exit Signals
The ADR boundaries serve as key decision points for trade execution. When price approaches the upper ADR boundary, it often signals a potential selling zone, particularly when confluence exists with other overbought indicators such as RSI divergence or resistance levels. Conversely, price reaching the lower ADR boundary frequently indicates potential buying opportunities, especially when supported by oversold conditions or support confluences.
Trend Continuation Assessment
One of the most valuable applications is gauging the probability of continued directional movement. When the current session's price action has not yet reached either ADR boundary, statistical probability favors trend continuation in the established direction. This information helps traders stay with profitable positions longer rather than exiting prematurely.
Reversal and Consolidation Zones
The visual color change to orange when ADR boundaries are reached provides immediate feedback that the normal daily range has been exhausted. At this point, the probability of trend reversal or sideways consolidation increases significantly. This signal helps traders prepare for potential position adjustments or new counter-trend opportunities.
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Turtle Trading System (Full Version)The turtle trader strategy by Richard Dennis, buys from breakouts and uses volatility for sizing. Accurate on most asset classes, best on Gold.
VWAP Multi-Timeframe VWAP Multi-Timeframe - Complete Professional Indicator
🚀 WHAT IS IT?
The VWAP Multi-Timeframe is an advanced indicator that combines 5 different VWAP periods in a single tool, providing a complete view of market fair value levels across multiple time scales.
⭐ KEY FEATURES
📊 5 Configurable VWAPs:
🟡 Daily VWAP - Ideal for day trading and intraday operations
🟠 Weekly VWAP - Perfect for swing trading
🔵 Monthly VWAP - Excellent for medium-term analysis
🔴 Quarterly VWAP - Essential for quarterly strategies
🟢 Yearly VWAP - Fundamental for long-term investments
🎯 Multiple Price Sources:
Choose the source that best fits your strategy:
Close - Closing price (most common)
OHLC4 - Complete average (smoother)
HLC3 - Typical price (default)
HL2 - Period midpoint
Open/High/Low - Specific prices
💡 HOW TO USE
For Day Traders:
Use Daily VWAP as main fair value reference
Prices above = buying pressure / Prices below = selling pressure
For Swing Traders:
Combine Weekly and Monthly VWAP to identify trends
Look for confluences between different timeframes
For Investors:
Quarterly and Yearly VWAP show long-term value levels
Excellent for identifying entry points in investments
🔧 TECHNICAL FEATURES
✅ Pine Script v6 - Latest and optimized version
✅ Clean Interface - User-friendly design
DAYTRADE GPT StrategyThis is the DAYTRADE GPT Strategy — built for disciplined intraday traders aiming to grow small capital into serious gains through calculated, high-probability trades.
🔍 Strategy Overview:
- Combines Bollinger Bands, RSI, Stochastic RSI, and Volume Spike detection for precise entries.
- Auto-detects optimal LONG and SHORT positions.
- Built-in Stop Loss and Take Profit using a configurable Risk/Reward ratio (default 1:2).
- Includes dynamic trailing stop logic to scale and protect profits once in the green.
🎯 Designed for:
- Scalping and short-term trades on crypto or highly liquid assets.
- Traders who scale positions as profits increase.
- High-frequency setups backed by volume confirmation.
💡 How It Works:
- Long when price is outside lower BB, RSI < 40, Stoch RSI oversold, and volume spike detected.
- Short when price is outside upper BB, RSI > 60, Stoch RSI overbought, and volume spike detected.
- Uses trailing stop once profitable to lock in gains as price climbs.
- Fully customizable: risk ratio, trailing %, and indicator sensitivity.
📈 Goal: Turn consistent setups into strategic wins. Ideal for those growing accounts from $100 toward $100K by December through disciplined trade management.
Let the algorithm handle entry/exit while you focus on execution. Adjust settings for your market.
#Crypto #DayTrading #Scalping #PineScript #Strategy
Adaptive RSI Oscillator📌 Adaptive RSI Oscillator
This indicator transforms the classic RSI into a fully adaptive, self-optimizing oscillator — normalized between -1 and 1, dynamically smoothed, and enhanced with divergence detection.
🔧 Key Features
Self-Optimizing RSI: Automatically selects the optimal RSI lookback length based on return stability (no hardcoded periods).
Dynamic Smoothing: Adapts to market conditions using a fraction of the optimized length.
Normalized Output : Converts traditional RSI to a consistent scale across all assets and timeframes.
Divergence Detection: Compares RSI behavior vs. price percentile ranks and scales the signal accordingly.
Gradient Visualization: Color-coded background and plot lines reflect the strength and direction of the signal with soft transitions.
Neutral Zone Adaptation: Dynamically widens or narrows the zone of inaction based on volatility, reducing noise.
🎯 Use Cases
Identify extreme momentum zones without relying on fixed 70/30 RSI levels
Detect divergences early with adaptive filtering
Highlight potential exhaustion or continuation
⚠️ Disclaimer: This indicator is for informational and educational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security. Always conduct your own research and consult a licensed financial advisor before making investment decisions. Use at your own risk.
MACD-VWAP-BB IndicatorThe Scalping Rainbow MACD-VWAP-BB Indicator is a simple tool for beginners to scalp (make quick trades) on a 1-minute chart in TradingView. It helps you decide when to buy or sell assets like forex (EUR/USD), crypto (BTC/USD), or stocks by showing clear signals directly on the candlestick chart. Here’s how to use it for scalping, explained in the easiest way:
Setup: Open TradingView, choose a 1-minute chart for a liquid asset (e.g., EUR/USD). Copy the indicator code into the Pine Editor (bottom tab), click “Add to Chart.” You’ll see green triangle-up signals below candles for buying and red triangle-down signals above candles for selling.
Buy Signal (Green Triangle Up): When a green triangle appears below a candle, it means the MACD, VWAP, and Bollinger Bands all suggest the price may rise. Action: Buy immediately, aiming for a small profit (5-10 pips in forex, 0.1-0.5% in crypto/stocks). Set a stop-loss 2-5 pips below the recent low to limit losses.
Sell Signal (Red Triangle Down): A red triangle above a candle signals a potential price drop. Action: Sell or short the asset, targeting a quick profit. Set a stop-loss 2-5 pips above the recent high.
Scalping Tips: Trade during busy market hours (e.g., 5:30 PM–9:30 PM IST for forex). Exit trades within 1-5 minutes. Only risk 1-2% of your account per trade. Check for support/resistance levels or candlestick patterns to confirm signals.
Practice: Use a demo account to test the indicator. Stick to 3-5 trades per session to avoid overtrading. If signals are too frequent, adjust “Signal Delay” to 2 in settings.
This indicator simplifies scalping by combining three reliable tools into clear buy/sell signals, perfect for beginners.
Adaptive Signal Oscillator (ASO)📘 Adaptive Signal Oscillator (ASO)
A fully dynamic, self-calibrating oscillator that adapts to any asset or timeframe by optimizing for real-time signal stability and volatility structure — without relying on static parameters or hardcoded thresholds.
🔍 Overview
The Adaptive Signal Oscillator (ASO) is a next-generation technical analysis tool designed to provide context-aware long/short signals across crypto, equities, or forex markets. Unlike traditional oscillators (RSI, Stochastics, MACD), ASO requires no manual tuning of lookback periods or overbought/oversold zones — it self-optimizes based on current market behavior.
🧠 How It Works
✅ 1. Dynamic Lookback Optimization
ASO evaluates a range of lookback lengths between user-defined minLen and maxLen. For each length, it calculates the standard deviation of returns and finds the one with the least volatility change (i.e., the most stable structure). This length is dynamically assigned as bestLen, recalculated on every bar.
✅ 2. Multi-Layer Signal Composition
Four independent signal layers are computed using bestLen:
RSI Layer: Measures relative price strength via a custom dynamic RSI.
Z-Score Layer: Standardized deviation of price from its mean.
Volatility Layer: Standard deviation of log or percent returns.
Price Position Layer: Current price percentile within the lookback window.
Each of these layers is transformed into a percentile score scaled to the range .
✅ 3. Volatility-Based Weighting
The standard deviation (volatility) of each signal layer is computed. Less volatile layers are weighted more heavily, ensuring the final composite signal prioritizes stable, consistent inputs.
Weights are normalized and combined to form a composite score, representing a dynamically blended, noise-weighted signal across the four layers.
✅ 4. Optional Adaptive Smoothing
A boolean toggle lets users apply smoothing to the final score. The smoothing window scales proportionally to bestLen, preserving adaptiveness even during trend transitions.
✅ 5. Percentile-Based Thresholding
Rather than using arbitrary fixed thresholds, ASO converts the composite score into a ranked percentile. Long/short signals are then generated based on user-defined percentile bands, adapting naturally to each asset’s behavior.
📈 Interpreting ASO
Score > Threshold → Strong long signal (highlighted in aqua).
Score < Threshold → Strong short signal (highlighted in fuchsia).
Crossing h_thresh (e.g., 0) → Neutral-to-bias change; useful for early trend cues.
The background and label update in real time to reflect the current regime and bestLen.
⚙️ Inputs
minLen, maxLen, step: Define the search range for optimal lookback length.
retMethod: Choose between log or percent return calculations.
threshHigh, threshLow: Define signal zones using percentiles.
smooth: Enable dynamic score smoothing.
h_thresh: Midline crossover zone for directional context.
⚠️ Disclaimer
This tool is designed for exploratory and educational purposes only. It does not offer financial advice or trading recommendations. Past performance is not indicative of future results.
Always consult a licensed financial advisor before making investment decisions.
Coffee Box Ninja- Time zone and automatic box for the COFFEE BOX strategy based on New York time.
- Auto update for summer and winter time
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- Rango de horarios y caja automatica para la estrategia COFFEE BOX basado en horarios de Nueva York.
- Actualizacion automatica horario de verano en invierno
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Wyckoff Ninja 🥷🏼
linktr.ee
This indicator highlights a specific time range during the New York trading session by drawing a dynamic box that captures the high and low between the defined start and end times. It is useful for identifying price ranges during important market windows, such as the "coffee time" box from 8:30 AM to 10:00 AM (NY time). The box updates as the session progresses and finalizes when the range ends.
Triple-Filter ConfirmationTriple-Filter Confirmation System
This indicator generates high-probability trading signals based on a 3-layer filtering approach:
🔹 Trend Filter – Uses a 200-period EMA slope to confirm bullish or bearish bias.
🔹 Momentum Filter – Uses MACD histogram direction for secondary confirmation.
🔹 Volatility Filter – Filters out weak setups using ATR percentile rank (relative to last 100 bars).
✅ Signal appears only when all filters align, avoiding noise and low-confidence zones.
🚫 If any filter disagrees, no signal is shown — preserving capital through discipline.
💡 Works across any timeframe and asset. Use it alongside price action, support/resistance, and sound risk management.
Created for educational and research purposes — not financial advice.
ATR (14) WatermarkThis lightweight overlay displays the ATR (14) value and its percentage of the current price directly on your chart — along with a visual cue (🔴🟡🟢) to indicate volatility levels.
This tool is perfect for traders who want to quickly assess volatility without crowding the chart with lines or indicators.
🔧 Features:
ATR (14) value and percentage of current price
🔴 High, 🟡 Medium, 🟢 Low volatility indicator
Adjustable vertical & horizontal positioning
Fully configurable text size and color
Clean, unobtrusive table watermark overlay
Lọc nhiễu MACD [VNFlow]Contact and discuss to use advanced tools to support your trading strategy
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Cafe break: Hanoi
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Standard Deviation + Z-scoreThis indicator calculates the standard deviation of close prices over the last N periods, where N is a user-defined input. Three rays above and below the current price indicate three standard deviations. The summary in the top right corner shows the number of bars N, the mean value over the period, standard deviation as percentage and Z-score of the current price.
👽 PriceAction & SmartMoney ∞ Galaxy [VNFlow]Contact and discussion to use advanced tools to support your trading strategy
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Phone: 0373885338
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Squeeze Momentum Long-Only Strategy v5This strategy is a refined long-only version of the popular Squeeze Momentum Indicator by LazyBear, enhanced with modern multi-filter techniques for improved precision and robustness.
📈 Core Idea
The strategy aims to capture explosive upside moves after periods of low volatility ("squeeze") — confirmed by breakout momentum, strong volume, macro trend alignment, and market context. Trades are entered only long, making it suitable for bullish assets or trending environments like crypto.
🔍 How It Works
1. Squeeze Detection
Detects a "squeeze" condition when Bollinger Bands (BB) contract inside Keltner Channels (KC).
A squeeze releases (entry signal) when BB expand outside KC — implying a potential breakout.
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sqzOff → Squeeze released → Price may expand directionally
2. Momentum Filter (Modified Squeeze Histogram)
Uses a custom linear regression-based histogram (val) to gauge price momentum.
Only enters long when:
val > 0 (bullish momentum)
val is rising for two consecutive bars (to avoid false starts)
val exceeds a configurable threshold
3. Volume Filter
Confirms strength of breakout by requiring:
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Current volume > Volume Moving Average × Multiplier
This ensures that breakouts are backed by real participation, reducing weak or manipulated moves.
4. Trend Filter (HTF SMA)
Uses a higher timeframe (e.g., Daily) Simple Moving Average to define trend bias.
Only takes long trades if price is above the selected trend SMA (e.g., 50-period SMA on D timeframe).
Helps avoid countertrend trades during bear phases or consolidations.
5. Volatility Filter
Uses ATR to measure recent volatility.
Filters out periods of low ATR to avoid trading in choppy, compressed markets.
🎯 Entry Conditions (All Must Be True):
Squeeze releases upward (sqzOff)
Momentum (val) is positive and rising (2-bar confirmation)
Momentum exceeds a minimum strength threshold
Volume spikes above average
Price is above HTF trend SMA
ATR is above its moving average (indicating active market)
🏁 Exit Condition
Closes the trade only when val < 0 → Momentum flips bearish.
(Optional extensions like trailing stops or take-profit rules can be added.)
⚙️ Customization Options
Momentum strength threshold
Volume multiplier
ATR length & filter threshold
HTF trend timeframe (e.g., "D", "3D", "W")
Trend SMA length
KC/BB settings for squeeze tuning
📊 Best Use Cases
Crypto (BTC, ETH, altcoins in uptrends)
Equities in trending sectors
Avoid in sideways, illiquid, or heavily news-driven markets
✅ Benefits
High precision due to multi-layered confirmation
Avoids overtrading in poor conditions
Focuses on clean, high-quality breakout trades
Flexible for risk management add-ons
Adaptive Normalized Global Liquidity OscillatorAdaptive Normalized Global Liquidity Oscillator
A dynamic, non-repainting oscillator built on real central bank balance sheet data. This tool visualizes global liquidity shifts by aggregating monetary asset flows from the world’s most influential central banks.
🔍 What This Script Does:
Aggregates Global Liquidity:
Includes Federal Reserve (FED) assets and subtracts liabilities like the Treasury General Account (TGA) and Reverse Repo Facility (RRP), combined with asset positions from the ECB, BOJ, PBC, BOE, and over 10 other central banks. All data is normalized into USD using FX rates.
Adaptive Normalization:
Optimizes the lookback period dynamically based on rate-of-change stability—no fixed lengths, enabling adaptation across macro conditions.
Self-Optimizing Weighting:
Applies inverse standard deviation to balance raw liquidity, smoothed momentum (HMA), and standardized deviation from the mean.
Percentile-Ranked Highlights:
Liquidity readings are ranked relative to history—extremes are visually emphasized using gradient color and adaptive transparency.
Non-Repainting Design:
Data is anchored with bar index awareness and offset techniques, ensuring no forward-looking bias. What you see is what was known at that time.
⚠️ Important Interpretation Note:
This is not a zero-centered oscillator like RSI or MACD. The signal line does not represent neutrality at zero.
Instead, a dynamic baseline is calculated using a rolling mean of scaled liquidity.
0 is irrelevant on its own—true directional signals come from crosses above or below this adaptive baseline.
Even negative values may signal strength if they are rising above the moving average of past liquidity conditions.
✅ What to Watch For:
Crossover Above Dynamic Baseline:
Indicates liquidity is expanding relative to recent conditions—supports a risk-on interpretation.
Crossover Below Dynamic Baseline:
Suggests deteriorating liquidity conditions—may align with risk-off shifts.
Percentile Extremes:
Readings near the top or bottom historical percentiles can act as contrarian or confirmation signals, depending on momentum.
⚙️ How It Works:
Bounded Normalization:
The final oscillator is passed through a tanh function, keeping values within and reducing distortion.
Adaptive Transparency:
The strength of deviations dynamically adjusts plot intensity—visually highlighting stronger liquidity shifts.
Fully Customizable:
Toggle which banks are included, adjust dynamic optimization ranges, and control visual display options for plot and background layers.
🧠 How to Use:
Trend Confirmation:
Sustained rises in the oscillator above baseline suggest underlying monetary support for asset prices.
Macro Turning Points:
Reversals or divergences, especially near OB/OS zones, can foreshadow broader risk regime changes.
Visual Context:
Use the dynamic baseline to see if liquidity is supportive or suppressive relative to its own adaptive history.
📌 Disclaimer:
This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always consult a qualified financial advisor before making trading or investment decisions.
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See you,
RSI-MAI spent a lot of time chasing trading methods.
Until I realized that the best method I need to follow is the reality of my own mind.
With faith in the truth, follow the truth in your heart.