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Calm before the StormCalm before the Storm - Bollinger Bands Volatility Indicator What It Does This indicator identifies and highlights periods of extremely low market volatility by analyzing Bollinger Bands distance. It uses percentile-based analysis to find the "quietest" market periods and highlights them with a gradient background, operating on the premise that low volatility periods often precede significant price movements. How It Works Volatility Measurement: Calculates the distance between Bollinger Bands upper and lower boundaries Percentile Analysis: Analyzes the lowest X% of volatility periods over a configurable lookback period (default: lowest 40% over 200 bars) Visual Highlighting: Uses gradient opacity to show volatility levels - the lower the volatility, the more opaque the background highlighting Adaptive Threshold: Automatically calculates what constitutes "low volatility" based on recent market conditions Who Should Use It Primary Users: Breakout Traders: Looking for consolidation periods that may precede significant moves Options Traders: Seeking low implied volatility periods before volatility expansion Swing Traders: Identifying accumulation/distribution phases before trend continuation or reversal Range Traders: Spotting tight trading ranges for mean reversion strategies Trading Styles: Volatility-based strategies Breakout and momentum trading Options strategies (volatility plays) Market timing approaches When to Use It Market Conditions: Consolidation Phases: When price is moving sideways with decreasing volatility Pre-Announcement Periods: Before earnings, economic data, or major events Market Transitions: During shifts between trending and ranging markets Low Volume Periods: When institutional participation is reduced Strategic Applications: Entry Timing: Wait for volatility compression before positioning for breakouts Risk Management: Reduce position sizes during highlighted periods (anticipating volatility expansion) Options Strategy: Sell premium during low volatility, buy during expansion Multi-Timeframe Analysis: Combine with higher timeframe trends for confluence Key Benefits Objective Volatility Measurement: Removes subjectivity from identifying "quiet" markets Adaptive Analysis: Automatically adjusts to current market conditions Visual Clarity: Easy-to-interpret gradient highlighting Customizable Sensitivity: Adjustable percentile thresholds for different trading styles Best Used In Combination With: Trend analysis tools Support/resistance levels Volume indicators Momentum oscillators This indicator is particularly valuable for traders who understand that periods of low volatility are often followed by periods of high volatility, allowing them to position ahead of potential significant price movements.
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naikamit8 tarafından
Forecasting Quadratic Regression [UPDATED V6] Forecasting Quadratic Regression applies a second-degree polynomial regression model to price data, offering a non-linear alternative to traditional linear regression. By fitting a quadratic curve of the form: y=a+bx+cx2 the indicator captures both directional trend and curvature, allowing traders to detect momentum shifts earlier than with straight-line models. 🔹 Core Features Fits a quadratic regression curve to user-defined lookback periods Extends the fitted curve forward to generate forecast projections Calculates slope curvature to highlight trend acceleration or deceleration Adapts dynamically as new bars are added 🔹 Trading Applications Identify potential reversal zones when the curve inflects (2nd derivative sign change) Forecast near-term mean reversion targets or extended trend continuations Filter trades by measuring momentum curvature rather than linear slope Visualize higher-order structure in price beyond standard regression lines ⚠️ Note: This model is statistical and assumes past curvature informs short-term future price paths. It should be combined with confirmation signals (volume, oscillators, support/resistance) to reduce false inflection points.
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JEDSBN tarafından
Elliott Wave - Impulse + Corrective Detector (Demo) เทคนิคการใช้ สำหรับมือใหม่ ดูเฉพาะ Impulse Wave ก่อน เทรดตาม direction ของ impulse ใช้ Fibonacci เป็น support/resistance สำหรับ Advanced ใช้ Corrective Wave หาจุด reversal รวม Triangle กับ breakout strategy ใช้ Complex correction วางแผนระยะยาว ⚙️ การปรับแต่ง ถ้าเจอ Pattern น้อยเกินไป ลด Swing Length เป็น 3-4 เพิ่ม Max History เป็น 500 ถ้าเจอ Pattern เยอะเกินไป เพิ่ม Swing Length เป็น 8-12 ปิด patterns ที่ไม่ต้องการ สำหรับ Timeframe ต่างๆ H1-H4: Swing Length = 5-8 Daily: Swing Length = 3-5 Weekly: Swing Length = 2-3 ⚠️ ข้อควรระวัง Elliott Wave เป็น subjective analysis ใช้ร่วมกับ indicators อื่นๆ Backtest ก่อนใช้เงินจริง Pattern อาจเปลี่ยนได้ตลอดเวลา 🎓 สรุป โค้ดนี้เป็นเครื่องมือช่วยวิเคราะห์ Elliott Wave ที่: ✅ ใช้งานง่าย ✅ ตรวจจับอัตโนมัติ ✅ มี confidence scoring ✅ แสดงผล Fibonacci levels ✅ ส่ง alerts เรียลไทม์ เหมาะสำหรับ: Trader ที่ต้องการใช้ Elliott Wave ในการวิเคราะห์เทคนิค แต่ไม่มีเวลานั่งหา pattern เอง 💡 Usage Tips For Beginners Focus on Impulse Waves first Trade in the direction of impulse Use Fibonacci as support/resistance levels For Advanced Users Use Corrective Waves to find reversal points Combine Triangles with breakout strategies Use Complex corrections for long-term planning ⚙️ Customization If You See Too Few Patterns Decrease Swing Length to 3-4 Increase Max History to 500 If You See Too Many Patterns Increase Swing Length to 8-12 Turn off unwanted pattern types For Different Timeframes H1-H4: Swing Length = 5-8 Daily: Swing Length = 3-5 Weekly: Swing Length = 2-3 ⚠️ Important Warnings Elliott Wave is subjective analysis Use with other technical indicators Backtest before using real money Patterns can change at any time 🔧 Troubleshooting No Patterns Showing Check if you have enough price history Adjust Swing Length settings Make sure pattern detection is enabled Too Many False Signals Increase confidence threshold requirements Use higher timeframes Combine with trend analysis Performance Issues Reduce Max History setting Turn off unnecessary visual elements Use on liquid markets only 📈 Trading Applications Entry Strategies Wave 3 Entry: After Wave 2 completion (61.8%-78.6% retracement) Wave 5 Target: Equal to Wave 1 or Fibonacci extensions Corrective Bounce: Trade reversals at C wave completion Risk Management Stop Loss: Beyond pattern invalidation levels Take Profit: Fibonacci extension targets Position Sizing: Based on pattern confidence 🎓 Summary This code is an Elliott Wave analysis tool that offers: ✅ Easy to use interface ✅ Automatic pattern detection ✅ Confidence scoring system ✅ Fibonacci level display ✅ Real-time alerts Perfect for: Traders who want to use Elliott Wave analysis but don't have time to manually identify patterns. 📚 Quick Reference Pattern Hierarchy (Most to Least Reliable) Impulse Waves (90% confidence) Expanded Flats (85% confidence) Zigzags (80% confidence) Triangles (75% confidence) Complex Corrections (70% confidence) Best Practices Start with higher timeframes for main trend Use lower timeframes for precise entries Always confirm with volume and momentum Don't trade against strong fundamental news Keep a trading journal to track performance Remember: Elliott Wave is an art as much as a science. This tool helps identify potential patterns, but always use your judgment and additional analysis before making trading decisions.
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chadayu77 tarafından
QFisher-R™ [ParadoxAlgo]QFISHER-R™ (Regime-Aware Fisher Transform) A research/education tool that helps visualize potential momentum exhaustion and probable inflection zones using a quantitative, non-repainting Fisher framework with regime filters and multi-timeframe (MTF) confirmation. What it does Converts normalized price movement into a stabilized Fisher domain to highlight potential turning points. Uses adaptive smoothing, robust (MAD/quantile) thresholds, and optional MTF alignment to contextualize extremes. Provides a Reversal Probability Score (0–100) to summarize signal confluence (extreme, slope, cross, divergence, regime, and MTF checks). Key features Non-repainting logic (bar-close confirmation; security() with no lookahead). Dynamic exhaustion bands (data-driven thresholds vs fixed ±2). Adaptive smoothing (efficiency-ratio based). Optional divergence tags on structurally valid pivots. MTF confirmation (same logic computed on a higher timeframe). Compact visuals with subtle plotting to reduce chart clutter. Inputs (high level) Source (e.g., HLC3 / Close / HA). Core lookback, fast/slow range blend, and ER length. Band sensitivity (robust thresholding). MTF timeframe(s) and agreement requirement. Toggle divergence & intrabar previews (default off). Signals & Alerts Turn Candidate (Up/Down) when multiple conditions align. Trade-Grade Turn when score ≥ threshold and MTF agrees. Divergence Confirmed when structural criteria are met. Alerts are generated on confirmed bar close by default. Optional “preview” mode is available for experimentation. How to use Start on your preferred timeframe; optionally enable an HTF (e.g., 4×) for confirmation. Look for RPS clusters near the exhaustion bands, slope inflections, and (optionally) divergences. Combine with your own risk management, liquidity, and trend context. Paper test first and calibrate thresholds to your instrument and timeframe. Notes & limitations This is not a buy/sell signal generator and does not predict future returns. Readings can remain extreme during strong trends; use HTF context and your own filters. Parameters are intentionally conservative by default; adjust carefully. Compliance / Disclaimer Educational & research tool only. Not financial advice. No recommendation to buy/sell any security or derivative. Past performance, backtests, or examples (if any) are not indicative of future results. Trading involves risk; you are responsible for your own decisions and risk management. Built upon the Fisher Transform concept (Ehlers); all modifications, smoothing, regime logic, scoring, and visualization are original work by Paradox Algo.
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paradoxalgo tarafından
2
Multi Volume Weighted Average Price1. Three independent VWAP configurations (VWAP 1, 2, and 3). Each can be set up separately for periods such as: session, daily, weekly, monthly, etc. 2. Previous VWAP closing prices: Closed VWAPs from previous periods remain visible until the price touches them. At that point, they are removed. 3. Bands: Based on standard deviation or a percentage of VWAP with an adjustable multiplier. The bands can be turned on or off. 4. Source: OHLC4 is the default setting for an accurate approximation, but it is customizable (e.g. HLC3). 5. Global Setting: Select 10,000 or 20,000 historical bars to prevent runtime errors for long periods. Usage tips: 1. Use VWAP 1 for daily sessions, VWAP 2 for weekly, and VWAP 3 for Monthly analysis to receive multi-timeframe support. 2. Customize the labels to clearly distinguish them (e.g. D VWAP, W VWAP, M VWAP). 3. If you encounter errors with historical data (e.g. on the M1 chart), minimize the number of historical bars displayed to 10,000.
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OutbackTrader25 tarafından
Anchored VWAP by Fin VirajSimple Anchored VWAP with Directional Colors 📊 Overview A clean and efficient Anchored VWAP (Volume Weighted Average Price) indicator with dynamic directional coloring. This indicator provides traders with a reliable reference point for price action analysis based on volume-weighted calculations from specific anchor points. ✨ Key Features 🎯 Multiple Anchor Types Session: Anchors to daily trading session start Day: Resets at the beginning of each trading day Week: Weekly anchor points for swing trading Month: Monthly anchors for longer-term analysis Manual Date: Set custom anchor date for specific events 🌈 Directional Color System 🟢 Green: Price above VWAP with upward momentum 🔴 Red: Price below VWAP with downward momentum 🔵 Blue: Neutral/transitional conditions 📏 Standard Deviation Bands Customizable multipliers (default: 1.0 and 2.0) Toggle on/off as needed Support and resistance levels based on statistical deviation Filled area between bands for better visualization 🔧 Settings & Customization Input Parameters Anchor Type: Choose from 5 different anchor methods Manual Anchor Date: Set specific date for manual anchoring Reset Anchor Point: Manual reset button Show Standard Deviation Bands: Toggle bands visibility Band Multipliers: Adjust band distance (1σ and 2σ) VWAP Line Width: Customize line thickness (1-4) Color Customization Bullish Color: Customize uptrend color Bearish Color: Customize downtrend color Neutral Color: Customize neutral state color Band Color: Customize standard deviation bands color 📈 How to Use For Day Trading Set anchor type to "Session" or "Day" Use VWAP as dynamic support/resistance Green color = bullish bias, Red color = bearish bias For Swing Trading Set anchor type to "Week" or "Month" Longer-term VWAP acts as major S/R level Standard deviation bands show potential reversal zones For Event-Based Analysis Set anchor type to "Manual Date" Choose significant event date (earnings, news, etc.) Analyze price behavior relative to that anchor point 🎨 Visual Interpretation VWAP Line Colors Bright Green: Strong bullish momentum (price above rising VWAP) Bright Red: Strong bearish momentum (price below falling VWAP) Blue: Neutral conditions or transitional phase Standard Deviation Bands Upper Bands: Potential resistance levels Lower Bands: Potential support levels Band Touches: Often indicate reversal or continuation points 💡 Trading Applications Support & Resistance VWAP acts as dynamic support in uptrends VWAP acts as dynamic resistance in downtrends Standard deviation bands provide additional S/R levels Trend Analysis Price consistently above VWAP = bullish trend Price consistently below VWAP = bearish trend Color changes help identify trend shifts Entry & Exit Points Use VWAP reclaims for potential long entries Use VWAP breaks for potential short entries Standard deviation bands for profit-taking levels ⚙️ Technical Details Pine Script Version: v6 Overlay: Yes (plots on price chart) Calculation: Volume-weighted average price from anchor point Standard Deviation: Statistical measure of price dispersion Performance: Optimized for real-time calculation 🔄 Anchor Reset Logic The indicator automatically resets based on selected anchor type: Session/Day: Resets at market open Week: Resets at week start Month: Resets at month start Manual: Resets from chosen date Manual Reset: Override button for immediate reset 📋 Best Practices Choose appropriate timeframe for your anchor type Combine with volume analysis for better confirmation Use multiple timeframes for comprehensive analysis Consider market context when interpreting signals Test on demo before live trading ⚠️ Disclaimer This indicator is for educational and informational purposes only. Always conduct your own analysis and risk management before making trading decisions.
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FinViraj6 tarafından
Intraday Spark Chart [AstrideUnicorn]The Intraday Spark Chart (ISC) is a minimalist yet powerful tool designed to track an asset’s performance relative to its daily opening price. Inspired by Nasdaq's trading-floor analog dashboards, it visualizes intraday percentage changes as a color-coded sparkline, helping traders quickly gauge momentum and session bias. Ideal for: Day trading, scalping, and multi-asset monitoring. Best paired with: 1m to 4H timeframes (auto-warns on higher TFs). Key metrics: Real-time % change from daily open. Final daily % change (updated at session close). Daily open price labels for orientation. HOW TO USE Visual Guide Sparkline Plot: A green area/line indicates price is above the daily open (bullish). A red area/line signals price is below the daily open (bearish). The baseline (0%) represents the daily open price. Session Markers: The dotted vertical lines separate trading days. Gray labels near the baseline show the exact daily open price at the start of each session. Dynamic Labels: The labels in the upper left corner of each session range display the current (or final) daily % change. Color matches the trend (green/red) for instant readability. Practical Use Cases Opening Range Breakouts: Spot early momentum by observing how price reacts to the daily open. Multi-Asset Screening: Compare intraday strength across symbols by choosing an asset in the indicator settings panel. Session Close Prep: Anticipate daily settlement by tracking the final % change (useful for futures/swing traders). SETTINGS Asset (Input Symbol) : Defaults to the current chart symbol. Choose any asset to monitor its price action without switching charts - ideal for intermarket analysis or correlation tracking.
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AstrideUnicorn tarafından
Fibo Swing MFI by julzALGOOVERVIEW Fibo Swing MFI by julzALGO blends MFI → RSI → Least-Squares smoothing to flag overbought/oversold swings and continuously plot Fibonacci retracements from the rolling high/low of the last 200 bars. It’s built to spot momentum shifts while giving you a clean, always-current fib map of the recent market range. CORE PRINCIPLES Hybrid Momentum Signal - Uses MFI to integrate price and volume. - Applies RSI to MFI for momentum clarity. - Smooths the result with Least Squares regression to reduce noise. Swing Identification - Marks potential swing highs when momentum is overbought. - Marks potential swing lows when momentum is oversold. Fixed-Window Fibonacci Mapping - Always calculates fib levels from the highest high and lowest low of the last 200 bars. - This keeps fib zones consistent, independent of swing point detection. Visual Clarity & Non-Repainting Logic - Clean labels for OB/OS zones. - Lines and levels update only as new bars confirm changes. Adaptability - Works on any market and timeframe. - Adjustable momentum length, OB/OS thresholds, and smoothing. HOW IT WORKS - Computes Money Flow Index (MFI) from price & volume. - Applies RSI to the MFI for clearer OB/OS momentum. - Smooths the hybrid with a Least Squares (linear regression) filter. - Swing labels appear when OB/OS conditions are met (green = swing low, red = swing high). - Fibonacci retracements are always drawn from the highest high and lowest low of the last 200 bars (rolling window), independent of swing labels. HOW TO USE - Watch for OB/OS flips to mark potential swing highs/lows. - Use the 200-bar fib grid as your active map of pullback levels and reaction zones. - Combine fib reactions with your price action/volume cues for confirmation. - Works across markets and timeframes. SETTINGS - Length – Period for both MFI and RSI. - OB/OS Levels – Overbought/oversold thresholds (default 70/30). - Smooth – Least-Squares smoothing length. - Fibonacci Window – Fixed at 200 bars in this version (changeable in code via fibLen). NOTES - Logic is non-repainting aside from standard bar/label confirmation. - Increase Length on very low timeframes to reduce noise. - Swing labels help context; fibs are always based on the most recent 200-bar high/low range. SUMMARY Fibo Swing MFI by julzALGO is a momentum-plus-price action tool that merges MFI → RSI → smoothing to identify overbought/oversold swings and automatically plot Fibonacci retracements based on the rolling high/low of the last 200 bars. It’s designed to help traders quickly see potential reversal points and pullback zones, offering visual confluence between momentum shifts and fixed-window price structure. DISCLAIMER For educational purposes only. Not financial advice. Trade responsibly with proper risk management.
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julzALGO tarafından
2
DCA Strategy on Steroids for CryptoThis strategy getting only in Long position for Crypto Using Fast and Slow moving Averages and Stochastic RSI to get in Long position Fast and Slow moving Averages - cross-under - I Prefer - or opposite for Bull Market Stochastic RSI cross-over - 5 and Trend Determined by the Fast moving Average There is no Stop loss is not for one with small tolerance to getting under Fast and Slow moving Averages and Stochastic RSI Parameters can be adjust The bot Use Safe Trades and Price Deviation Determined from the User Max Safe Trades = 10 Take profit Parameters can be adjust in % Pepe-USDC is just a example What the bot Can do
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fullmax tarafından
2
🌊 ALMA BandsTrend Architect Suite Lite - ALMA Bands - Adaptive Moving Average System Simple implementation of ALMA (Arnaud Legoux Moving Average) bands from the Trend Architect Suite. Why ALMA over Traditional EMA Bands? Superior Smoothness: ALMA combines the best of both SMA and EMA by using Gaussian filters to reduce noise while maintaining responsiveness Reduced Lag: The offset parameter allows fine-tuning between minimal lag and maximum smoothness Advanced Weighting: Uses a sophisticated weighted algorithm that reduces false signals compared to traditional moving averages Configurable Phase: The offset parameter (0-1) controls the phase shift, allowing you to balance between smoothness and responsiveness Features: Dual ALMA lines with customizable periods, offsets, and sigma values Dynamic fill coloring (cyan for bullish, red for bearish trends) Clean crossover alerts for trend changes Fully customizable appearance and sensitivity Settings: Default configuration uses 20-period ALMAs with different offset values (0.85 vs 0.77) All parameters are adjustable to fit your trading style Use Case: Trend-following system suitable for any timeframe. Best used in conjunction with other analysis for confirmation.
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B3AR_Trades tarafından
2