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.
Volatility
🚀PriceAction & SmartMoney ∞ Galaxy [VNFlow]Contact and discussion to use advanced tools to support your trading strategy
Email: hasobin@outlook.com
Phone: 0373885338
See you,
👽 PriceAction & SmartMoney ∞ Galaxy [VNFlow]Contact and discussion to use advanced tools to support your trading strategy
Email: hasobin@outlook.com
Phone: 0373885338
See you,
👽 PriceAction & SmartMoney ∞ Galaxy [VNFlow]Contact and discussion to use advanced tools to support your trading strategy
Email: hasobin@outlook.com
Phone: 0373885338
See you,
Lọc nhiễu MACD [VNFlow]Contact and discuss to use advanced tools to support your trading strategy
Email: hasobin@outlook.com
Phone: 0373885338
See you,
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.
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
--------------------------------------------------------------------------------------
- Rango de horarios y caja automatica para la estrategia COFFEE BOX basado en horarios de Nueva York.
- Actualizacion automatica horario de verano en invierno
-------------------------------------------------------------------------------------
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.
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.
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.
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.
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
X-Day Capital Efficiency ScoreThis indicator helps identify the Most Profitable Movers for Your fixed Capital (ie, which assets offer the best average intraday profit potential for a fixed capital).
Unlike traditional volatility indicators (like ATR or % change), this script calculates how much real dollar profit you could have made each day over a custom lookback period — assuming you deployed your full capital into that ticker daily.
How it works:
Calculates the daily intraday range (high − low)
Filters for clean candles (where body > 60% of the candle range)
Assumes you invested the full amount of capital ($100K set as default) on each valid day
Computes an average daily profit score based on price action over the selected period (default set to 20 days)
Plots the score in dollars — higher = more efficient use of capital
Why It’s Useful:
Compare tickers based on real dollar return potential — not just % volatility
Spot low-priced, high-volatility stocks that are better suited for intraday or momentum trading
Inputs:
Capital ($): Amount you're hypothetically deploying (e.g., 100,000)
Look Back Period: Number of past days to average over (e.g., 20)
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.
[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.
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.
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
🕯️ Full Candle Size AnalyzerFull Candle Size Analyzer – Detect Volatility with Visuals and Alerts
This all-in-one indicator is designed to help traders spot large candles based on high–low range, a key measure of price volatility. It provides a clear visual representation and customizable alerts when candle sizes exceed average behavior.
Features:
🎯 Candle Coloring: Automatically colors candles red if their full size (High - Low) exceeds a user-defined multiple of the average candle size.
📊 Size Plotting: Displays both current candle size and its moving average in a separate pane for easy visual comparison (toggle on/off).
🚨 Alerts: Alerts when candle size exceeds a more aggressive threshold (customizable).
🎨 Background Highlights: Light red background flags extremely large candles visually.
⚙️ Customizable Settings: Choose your average period, thresholds for coloring and alerting, and plot visibility.
OBV with MA & Bollinger Bands by Marius1032OBV with MA & Bollinger Bands by Marius1032
This script adds customizable moving averages and Bollinger Bands to the classic OBV (On Balance Volume) indicator. It helps identify volume-driven momentum and trend strength.
Features:
OBV-based trend tracking
Optional smoothing: SMA, EMA, RMA, WMA, VWMA
Optional Bollinger Bands with SMA
Potential Combinations and Trading Strategies:
Breakouts: Look for price breakouts from the Bollinger Bands, and confirm with a rising OBV for an uptrend or falling OBV for a downtrend.
Trend Reversals: When the price touches a Bollinger Band, examine the OBV for divergence. A bullish divergence (price lower low, OBV higher low) near the lower band could signal a reversal.
Volume Confirmation: Use OBV to confirm the strength of the trend indicated by Bollinger Bands. For example, if the BBs indicate an uptrend and OBV is also rising, it reinforces the bullish signal.
1. On-Balance Volume (OBV):
Purpose: OBV is a momentum indicator that uses volume flow to predict price movements.
Calculation: Volume is added on up days and subtracted on down days.
Interpretation: Rising OBV suggests potential upward price movement. Falling OBV suggests potential lower prices.
Divergence: Divergence between OBV and price can signal potential trend reversals.
2. Moving Average (MA):
Purpose: Moving Averages smooth price fluctuations and help identify trends.
Combination with OBV: Pairing OBV with MAs helps confirm trends and identify potential reversals. A crossover of the OBV line and its MA can signal a trend reversal or continuation.
3. Bollinger Bands (BB):
Purpose: BBs measure market volatility and help identify potential breakouts and trend reversals.
Structure: They consist of a moving average (typically 20-period) and two standard deviation bands.
Combination with OBV: Combining BBs with OBV allows for a multifaceted approach to market analysis. For example, a stock hitting the lower BB with a rising OBV could indicate accumulation and a potential upward reversal.
Created by: Marius1032
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.
text
Copy
Edit
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:
text
Copy
Edit
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
Swing Trend: 200 EMA + ATR (Long Only)🧠 Strategy Concept:
This swing trading strategy is designed specifically for Ethereum (ETH) on timeframes like 4H or Daily, but it is flexible enough to work across other volatile assets or timeframes with some tuning.
The system combines trend confirmation via a 200-period Exponential Moving Average (EMA) with volatility filtering using the Average True Range (ATR). It aims to capture medium-term bullish swings while avoiding weak or sideways markets.
📈 Entry Logic:
A long position is opened only when both of the following conditions are true:
Price is above the 200 EMA
→ This confirms a longer-term uptrend.
Price is also greater than (EMA + ATR × Multiplier)
→ This volatility buffer ensures we only enter after strong directional moves and avoid minor pullbacks or choppy price action.
The ATR multiplier is customizable (default = 1.5).
ATR length defaults to 14 periods.
✅ This double filter helps reduce false positives and ensures that entries happen only in strong bullish momentum.
💡 Exit Logic:
The exit rule is simple:
Close the position when the price crosses below the 200 EMA, indicating a potential trend reversal or weakening trend.
This approach:
Protects gains by exiting early during trend breakdowns.
Avoids unnecessary complexity like static stop-loss or take-profit.
You can manually add SL/TP logic if desired.
⚙️ Strategy Settings:
EMA Length = 200
ATR Length = 14
ATR Multiplier = 1.5
Position Sizing = 10% of equity per trade (adjustable in strategy settings)
📊 Use Case:
Optimized for swing traders who prefer long-only positions in bull markets.
Particularly effective on ETHUSDT, but applicable to BTC, SOL, etc.
Best used during periods of trending market behavior — avoid sideways or range-bound conditions.
🛠️ Customization Tips:
Timeframe: Works best on 4H or 1D charts; avoid low timeframes unless volatility filtering is adjusted.
EMA Length: Increase to 300–400 for more conservative filtering.
ATR Multiplier: Raise to 2–2.5 to reduce frequency of entries and increase selectivity.
Stop-loss / Take-profit: You can add static or trailing SL/TP for tighter risk control if desired.
📌 Strategy Summary:
Feature Setting
Trend Filter 200 EMA
Volatility Gate ATR (×1.5)
Entry Type Long only
Exit Trigger Close < EMA
Style Trend-following Swing Strategy