Dynamic Trend ChannelsDynamic Trend Channels is a volatility-adaptive channel indicator that dynamically adjusts to both trend and market noise, reducing false signals in ranging or trending conditions.
How to use:
- Buy/Long bias while price holds above the green adaptive support line.  
- Sell/Short bias while price holds **below the red adaptive resistance line.  
- The bands expand/contract with volatility and shift with trend, minimizing whipsaws.
Where to use:  
Works across all asset classes (stocks, forex, crypto, futures) and timeframes — from scalping (1m-15m) to swing/position trading (daily-weekly). A robust, low-maintenance alternative to traditional Bollinger Bands.
Why to use:
Built on Geometric Brownian Motion (GBM) principles, it separates trend (via short-term EWMA) from volatility (real-time stochastic estimate). The result: smarter, adaptive bands that follow price flow — not just fixed standard deviations.
Fewer trades. Cleaner signals. Built for real markets.
In den Scripts nach "bollingerband" suchen
Reddington Trading Bot Adaptive SignalsIntroduction
Reddington Trading Bot Adaptive Signals is a comprehensive multi-signal indicator designed for identifying adaptive trading opportunities across various market conditions. It combines popular technical indicators like SuperTrend, Bollinger Bands, MACD, RSI, ADX, and EMAs into a prioritized signal system, filtered by volatility (ATR), volume, and session times. Optimized for volatile assets like cryptocurrencies (e.g., ETH/USD on 15m–1H timeframes), it generates labeled buy/sell signals with dynamic Entry, SL, Half TP, and TP levels based on ATR.
This indicator adapts to timeframe scaling and trading sessions (Asian, European, American), making it suitable for scalping, counter-trend, or trend-following setups. It visualizes signals with labels and plots levels for easy manual trading. Note: This is an indicator for signal generation—pair it with your risk management rules. Always backtest and demo trade before live use!
Key Features
Adaptive Signals (Prioritized Order):
SuperTrend (ST): Trend-following entries on SuperTrend flips with EMA and BB confirmation.
Bollinger Bands (BB): Breakout signals at BB upper/lower bands.
MACD: Crossover/crossunder with momentum filters.
Counter-Trend (CT): Reversal from BB extremes with RSI bias.
Scalp (SC): Short-term EMA crossovers in neutral RSI zones.
Filters:
ADX > threshold for trend strength.
ATR volatility bounds to avoid low/high vol environments.
RSI neutral zone to skip overbought/oversold extremes.
Volume spike confirmation.
Candle body confirmation (close > open  for long, etc.).
Optional session filters (UTC-based: Asian 00:00–08:00, European 08:00–16:00, American 16:00–00:00).
Dynamic Levels:
Entry: Current close on signal.
SL: Entry ± ATR * 2 (1:2 RR base).
Half TP: Entry ± ATR * 2 (partial close suggestion).
TP: Entry ± ATR * 4 (full target, RR 1:2).
Visualization:
Colored labels for each signal type (e.g., “ST Long 3889.43”).
Plots: Entry (yellow cross), SL (red), Half TP (blue), TP (green).
Session info label on last bar.
Timeframe Adaptive: Auto-scales periods based on chart TF (e.g., longer on 1H+).
The indicator uses timeframe-aware calculations for consistency across resolutions and supports alerts for signals.
Parameters (Inputs)
Supertrend Multiplier (3.0): ATR multiplier for SuperTrend (0.1–5.0, step 0.1).
ADX Trend Threshold (25): Minimum ADX for signal validity (10–50).
ATR Volatility Low Mult (0.5): Lower ATR filter multiplier (0.1–2.0).
ATR Volatility High Mult (3.0): Upper ATR filter multiplier (2.0–5.0).
RSI Overbought (70): RSI upper bound for neutral filter (50–90).
RSI Oversold (30): RSI lower bound for neutral filter (10–50).
Trade Asian Session (true): Enable 00:00–08:00 UTC.
Trade European Session (true): Enable 08:00–16:00 UTC.
Trade American Session (true): Enable 16:00–00:00 UTC.
How to Use
Installation: Add to your chart (recommended: 15m–1H for crypto/forex; adjust sessions for your timezone).
Settings: Tune ADX/ATR multipliers for your asset (e.g., higher for BTC volatility). Enable/disable sessions as needed.
Signals:
Long (Buy): Green upward label (e.g., “ST Long 3889.43”)—enter on next bar open.
Short (Sell): Red downward label (e.g., “BB Short 3876.61”)—enter on next bar open.
Prioritization: ST first (strongest trend), then BB/MACD/CT/SC (weaker setups).
Risk Management:
Use plotted levels: Enter at yellow cross, SL at red (stop ~2 ATR), partial at blue (~2 ATR reward), full at green (~4 ATR, RR 1:2).
Position size: Risk 1–2% of capital per trade based on SL distance.
Exit manually if no hit: Trail SL or close on opposite signal.
Alerts: Set up TradingView alerts on label creation for “Reddington Trading Bot Adaptive Signals” (condition: “Any alert() function call”).
Backtesting: Use with manual journaling or convert to strategy script for automated testing (see TradingView docs).
Recommendations:
Best on liquid pairs (ETH, BTC) during active sessions.
Combine with support/resistance for confluence.
Avoid news events—use economic calendar.
Demo trade 50+ signals before live.
Important Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or guarantees of profit. Trading financial instruments involves substantial risk of loss and is not suitable for all investors. Past performance does not indicate future results. The author, TradingView, and any contributors are not liable for any losses or damages arising from the use of this indicator. Before trading, conduct thorough backtesting, forward testing, and consult a licensed financial advisor. Use at your own risk, and ensure you understand the risks involved.
If you have feedback or ideas for enhancements, share in the comments! Happy trading! 📈
Tags: #supertrend #macd #bollingerbands #rsi #adx #scalping #trendfollowing #cryptocurrency #forex
SFC Bollinger Band and Bandit概述 (Overview)
SFC 布林通道與海盜策略 (SFC Bollinger Band and Bandit Strategy) 是一個基於 Pine Script™ v6 的技術分析指標,結合布林通道 (Bollinger Bands)、移動平均線 (Moving Averages) 以及布林海盜 (Bollinger Bandit) 交易策略,旨在為交易者提供多時間框架的趨勢分析與進出場訊號。該腳本支援風險管理功能,並提供視覺化圖表與交易訊號提示,適用於多種金融市場。
This script, written in Pine Script™ v6, combines Bollinger Bands, Moving Averages, and the Bollinger Bandit strategy to provide traders with multi-timeframe trend analysis and entry/exit signals. It includes risk management features and visualizes data through charts and trading signals, suitable for various financial markets.
功能特點 (Key Features)
布林通道 (Bollinger Bands)
提供可調整的標準差參數 (σ1, σ2),支援多層布林通道顯示。
進場訊號基於價格穿越布林通道上下軌,並結合連續K線確認機制。
Provides adjustable standard deviation parameters (σ1, σ2) for multi-layer Bollinger Bands display.
Entry signals are based on price crossing the upper/lower bands, combined with a consecutive bar confirmation mechanism.
移動平均線 (Moving Averages)
支援簡單移動平均線 (SMA) 或指數移動平均線 (EMA),可自訂快、中、慢線週期。
Supports Simple Moving Average (SMA) or Exponential Moving Average (EMA) with customizable fast, medium, and slow line periods.
布林海盜策略 (Bollinger Bandit Strategy)
基於變動率 (ROC) 與布林通道動態止損,提供做多與做空訊號。
包含動態止損均線與平倉天數設定,增強交易靈活性。
Utilizes Rate of Change (ROC) and Bollinger Bands with dynamic stop-loss for long and short signals.
Includes dynamic stop-loss moving average and liquidation days for enhanced trading flexibility.
多時間框架分析 (Multi-Timeframe Analysis)
支援六個時間框架 (5分、15分、1小時、4小時、日線、週線) 的趨勢分析。
通過表格顯示各時間框架的連續上漲/下跌趨勢,輔助交易決策。
Supports trend analysis across six timeframes (5m, 15m, 1h, 4h, daily, weekly).
Displays consecutive up/down trends in a table to aid decision-making.
風險管理 (Risk Management)
提供基於 ATR 或布林通道的停利/停損設定。
自動計算交易手數,根據報價貨幣匯率調整風險敞口。
Offers take-profit/stop-loss settings based on ATR or Bollinger Bands.
Automatically calculates trading lots, adjusting risk exposure based on quote currency exchange rates.
視覺化與提示 (Visualization and Alerts)
繪製布林通道、移動平均線、海盜策略動態止損線及交易訊號。
提供多時間框架趨勢表格、交易手數標籤及浮水印。
支援交易訊號快訊,方便即時監控。
Plots Bollinger Bands, Moving Averages, Bandit strategy stop-loss lines, and trading signals.
Includes multi-timeframe trend tables, trading lot labels, and watermark.
Supports alert conditions for real-time trade monitoring.
使用說明 (Usage Instructions)
設置參數 (Parameter Setup)
布林通道 (Bollinger Bands): 可調整週期 (預設21)、標準差 (σ1=1, σ2=2) 及停利/停損依據 (ATR 或 BAND)。
移動平均線 (Moving Averages): 可選擇顯示快線 (10)、中線 (20)、慢線 (60),並切換 SMA/EMA。
布林海盜 (Bollinger Bandit): 調整通道週期 (50)、平倉均線週期 (50) 及 ROC 週期 (30)。
時間框架 (Timeframes): 自訂六個時間框架,預設為 5分、15分、1小時、4小時、日線、週線。
Adjust Bollinger Band period (default 21), standard deviations (σ1=1, σ2=2), and take-profit/stop-loss basis (ATR or BAND).
Configure Moving Averages (fast=10, medium=20, slow=60) and toggle SMA/EMA.
Set Bollinger Bandit parameters: channel period (50), liquidation MA period (50), ROC period (30).
Customize six timeframes (default: 5m, 15m, 1h, 4h, daily, weekly).
交易訊號 (Trading Signals)
買入訊號 (Buy): 價格穿越下軌且滿足連續K線條件。
賣出訊號 (Sell): 價格穿越上軌且滿足連續K線條件。
海盜策略訊號: 基於 ROC 與布林通道穿越,結合動態止損。
Buy signal: Price crosses below lower band with consecutive bar confirmation.
Sell signal: Price crosses above upper band with consecutive bar confirmation.
Bandit strategy signals: Based on ROC and band crossings with dynamic stop-loss.
視覺化 (Visualization)
布林通道以不同顏色顯示上下軌與中軌。
移動平均線以快、中、慢線區分顏色。
趨勢表格顯示各時間框架的趨勢狀態 (🔴上漲, 🟢下跌, ⚪中性)。
海盜策略顯示動態止損線與交易狀態。
Bollinger Bands display upper, lower, and middle bands in distinct colors.
Moving Averages use different colors for fast, medium, and slow lines.
Trend table shows timeframe trends (🔴 up, 🟢 down, ⚪ neutral).
Bandit strategy displays dynamic stop-loss and trading status.
Stocktech.in - MidasStocktech.in – Midas: All-in-one charting indicator featuring neutral candles, trend guide bands, StockTech info table, and high-volume markers (HVQ/HVY/HVE) for quick visual volume analysis. Fully customizable and toggleable.
Bollinger Bands Squeeze📈  Bollinger Bands Squeeze 
This indicator enhances traditional Bollinger Bands by integrating Keltner Channel layers to visualize market compression and volatility expansion — allowing traders to easily identify when a squeeze is building or releasing.
🔍  Overview 
This is a refined version of the classic Bollinger Bands, designed to detect volatility squeezes using multiple Keltner Channel thresholds.
The script plots standard Bollinger Bands and dynamically colors the bands according to the degree of compression relative to the Keltner Channels.
⚙️  How It Works 
Bollinger Bands are calculated from a selected moving average (SMA, EMA, SMMA, WMA, or VWMA) and standard deviation multiplier.
Keltner Channels are derived from ATR (True Range) using three sensitivity levels (1.0, 1.5, and 2.0× multipliers).
When Bollinger Bands contract inside a Keltner Channel, the script marks a squeeze state:
🟠 High Compression (Orange): Very tight volatility — expect breakout soon.
🔴 Mid Compression (Red): Moderate contraction — volatility is building.
⚫ Low Compression (Gray/Black): Early compression phase.
🧩  Inputs & Customization 
 Length : Period for both Bollinger and Keltner calculations.
 Basis MA Type:  Choose from SMA, EMA, SMMA (RMA), WMA, or VWMA.
 StdDev Multiplier : Controls Bollinger Bandwidth.
 Keltner Multipliers (1.0 / 1.5 / 2.0) : Adjust compression thresholds.
 Offset : Shifts the bands visually on the chart.
🕹️  Best Use Cases 
Identify pre-breakout conditions before volatility expansion.
Combine with volume, momentum, or trend indicators (e.g., RSI) for confirmation.
Ideal for scalping, breakout trading, or volatility-based entries during session opens.
SAR e Bollinger Bands CombinateThis TradingView script combines the analytical power of the Parabolic SAR with Bollinger Bands (BB) for a comprehensive dual market analysis.
The Parabolic SAR tracks the trend's direction and momentum, plotting points as lime crosses (uptrend) or red crosses (downtrend), and clearly marks trend reversals with a small triangle at the bottom of the chart.
Bollinger Bands measure market volatility and provide dynamic support and resistance levels. The space between the upper and lower bands is filled for enhanced visual clarity.
The indicator is fully customizable, allowing users to fine-tune all key parameters, including the SAR's Acceleration Factor (AF) and the BB's Period/Standard Deviation. This makes it an ideal tool for simultaneously identifying trend momentum, potential reversals, and overbought/oversold market conditions.
RSI Bollinger Bands [DCAUT]█ RSI Bollinger Bands  
 📊 ORIGINALITY & INNOVATION 
The RSI Bollinger Bands indicator represents a meaningful advancement in momentum analysis by combining two proven technical tools: the Relative Strength Index (RSI) and Bollinger Bands. This combination addresses a significant limitation in traditional RSI analysis - the use of fixed overbought/oversold thresholds (typically 70/30) that fail to adapt to changing market volatility conditions.
 Core Innovation: 
Rather than relying on static threshold levels, this indicator applies Bollinger Bands statistical analysis directly to RSI values, creating dynamic zones that automatically adjust based on recent momentum volatility. This approach helps reduce false signals during low volatility periods while remaining sensitive to genuine extremes during high volatility conditions.
 Key Enhancements Over Traditional RSI: 
 
 Dynamic Thresholds: Overbought/oversold zones adapt to market conditions automatically, eliminating the need for manual threshold adjustments across different instruments and timeframes
 Volatility Context: Band width provides immediate visual feedback about momentum volatility, helping traders distinguish between stable trends and erratic movements
 Reduced False Signals: During ranging markets, narrower bands filter out minor RSI fluctuations that would trigger traditional fixed-threshold signals
 Breakout Preparation: Band squeeze patterns (similar to price-based BB) signal potential momentum regime changes before they occur
 Self-Referencing Analysis: By measuring RSI against its own statistical behavior rather than arbitrary levels, the indicator provides more relevant context
 
 📐 MATHEMATICAL FOUNDATION 
 Two-Stage Calculation Process: 
 Stage 1: RSI Calculation 
RSI = 100 - (100 / (1 + RS))
where RS = Average Gain / Average Loss over specified period
The RSI normalizes price momentum into a bounded 0-100 scale, making it ideal for statistical band analysis.
 Stage 2: Bollinger Bands on RSI 
Basis = MA(RSI, BB Length)
Upper Band = Basis + (StdDev(RSI, BB Length) × Multiplier)
Lower Band = Basis - (StdDev(RSI, BB Length) × Multiplier)
Band Width = Upper Band - Lower Band
The Bollinger Bands measure RSI's standard deviation from its own moving average, creating statistically-derived dynamic zones.
 Statistical Interpretation: 
 
 Under normal distribution assumptions with default 2.0 multiplier, approximately 95% of RSI values should fall within the bands
 Band touches represent statistically significant momentum extremes relative to recent behavior
 Band width expansion indicates increasing momentum volatility (strengthening trend or increasing uncertainty)
 Band width contraction signals momentum consolidation and potential regime change preparation
 
 📊 COMPREHENSIVE SIGNAL ANALYSIS 
 Visual Color Signals: 
This indicator features dynamic color fills that highlight extreme momentum conditions:
 Green Fill (Above Upper Band): 
 
 Appears when RSI breaks above the upper band, indicating exceptionally strong bullish momentum
 Represents dynamic overbought zone - not necessarily a reversal signal but a warning of extreme conditions
 In strong uptrends, green fills can persist as RSI "rides the band" - this indicates sustained momentum strength
 Exit of green zone (RSI falling back below upper band) often signals initial momentum weakening
 
 Red Fill (Below Lower Band): 
 
 Appears when RSI breaks below the lower band, indicating exceptionally weak bearish momentum
 Represents dynamic oversold zone - potential reversal or continuation signal depending on trend context
 In strong downtrends, red fills can persist as RSI "rides the band" - this indicates sustained selling pressure
 Exit of red zone (RSI rising back above lower band) often signals initial momentum recovery
 
 Position-Based Signals: 
 Upper Band Interactions: 
 
 RSI Touching Upper Band: Dynamic overbought condition - momentum is extremely strong relative to recent volatility, potential exhaustion or continuation depending on trend context
 RSI Riding Upper Band: Sustained strong momentum, often seen in powerful trends, not necessarily an immediate reversal signal but warrants monitoring for exhaustion
 RSI Crossing Below Upper Band: Initial momentum weakening signal, particularly significant if accompanied by price divergence
 
 Lower Band Interactions: 
 
 RSI Touching Lower Band: Dynamic oversold condition - momentum is extremely weak relative to recent volatility, potential reversal or continuation of downtrend
 RSI Riding Lower Band: Sustained weak momentum, common in strong downtrends, monitor for potential exhaustion
 RSI Crossing Above Lower Band: Initial momentum strengthening signal, early indication of potential reversal or consolidation
 
 Basis Line Signals: 
 
 RSI Above Basis: Bullish momentum regime - upward pressure dominant
 RSI Below Basis: Bearish momentum regime - downward pressure dominant
 Basis Crossovers: Momentum regime shifts, more significant when accompanied by band width changes
 RSI Oscillating Around Basis: Balanced momentum, often indicates ranging market conditions
 
 Volatility-Based Signals: 
 Band Width Patterns: 
 
 Narrow Bands (Squeeze): Momentum volatility compression, often precedes significant directional moves, similar to price coiling patterns
 Expanding Bands: Increasing momentum volatility, indicates trend acceleration or growing uncertainty
 Narrowest Band in 100 Bars: Extreme compression alert, high probability of upcoming volatility expansion
 
 Advanced Pattern Recognition: 
 Divergence Analysis: 
 
 Bullish Divergence: Price makes lower lows while RSI touches or stays above previous lower band touch, suggests downward momentum weakening
 Bearish Divergence: Price makes higher highs while RSI touches or stays below previous upper band touch, suggests upward momentum weakening
 Hidden Bullish: Price makes higher lows while RSI makes lower lows at the lower band, indicates strong underlying bullish momentum
 Hidden Bearish: Price makes lower highs while RSI makes higher highs at the upper band, indicates strong underlying bearish momentum
 
 Band Walk Patterns: 
 
 Upper Band Walk: RSI consistently touching or staying near upper band indicates exceptionally strong trend, wait for clear break below basis before considering reversal
 Lower Band Walk: RSI consistently at lower band signals very weak momentum, requires break above basis for reversal confirmation
 
 🎯 STRATEGIC APPLICATIONS 
 Strategy 1: Mean Reversion Trading 
 Setup Conditions: 
 
 Market Type: Ranging or choppy markets with no clear directional trend
 Timeframe: Works best on lower timeframes (5m-1H) or during consolidation phases
 Band Characteristic: Normal to narrow band width
 
 Entry Rules: 
 
 Long Entry: RSI touches or crosses below lower band, wait for RSI to start rising back toward basis before entry
 Short Entry: RSI touches or crosses above upper band, wait for RSI to start falling back toward basis before entry
 Confirmation: Use price action confirmation (candlestick reversal patterns) at band touches
 
 Exit Rules: 
 
 Target: RSI returns to basis line or opposite band
 Stop Loss: Fixed percentage or below recent swing low/high
 Time Stop: Exit if position not profitable within expected timeframe
 
 Strategy 2: Trend Continuation Trading 
 Setup Conditions: 
 
 Market Type: Clear trending market with higher highs/lower lows
 Timeframe: Medium to higher timeframes (1H-Daily)
 Band Characteristic: Expanding or wide bands indicating strong momentum
 
 Entry Rules: 
 
 Long Entry in Uptrend: Wait for RSI to pull back to basis line or slightly below, enter when RSI starts rising again
 Short Entry in Downtrend: Wait for RSI to rally to basis line or slightly above, enter when RSI starts falling again
 Avoid Counter-Trend: Do not fade RSI at bands during strong trends (band walk patterns)
 
 Exit Rules: 
 
 Trailing Stop: Move stop to break-even when RSI reaches opposite band
 Trend Break: Exit when RSI crosses basis against trend direction with conviction
 Band Squeeze: Reduce position size when bands start narrowing significantly
 
 Strategy 3: Breakout Preparation 
 Setup Conditions: 
 
 Market Type: Consolidating market after significant move or at key technical levels
 Timeframe: Any timeframe, but longer timeframes provide more reliable breakouts
 Band Characteristic: Narrowest band width in recent 100 bars (squeeze alert)
 
 Preparation Phase: 
 
 Identify band squeeze condition (bands at multi-period narrowest point)
 Monitor price action for consolidation patterns (triangles, rectangles, flags)
 Prepare bracket orders for both directions
 Wait for band expansion to begin
 
 Entry Execution: 
 
 Breakout Confirmation: Enter in direction of RSI band breakout (RSI breaks above upper band or below lower band)
 Price Confirmation: Ensure price also breaks corresponding technical level
 Volume Confirmation: Look for volume expansion supporting the breakout
 
 Risk Management: 
 
 Stop Loss: Place beyond consolidation pattern opposite extreme
 Position Sizing: Use smaller size due to false breakout risk
 Quick Exit: Exit immediately if RSI returns inside bands within 1-3 bars
 
 Strategy 4: Multi-Timeframe Analysis 
 Timeframe Selection: 
 
 Higher Timeframe: Daily or 4H for trend context
 Trading Timeframe: 1H or 15m for entry signals
 Confirmation Timeframe: 5m or 1m for precise entry timing
 
 Analysis Process: 
 
 Trend Identification: Check higher timeframe RSI position relative to bands, trade only in direction of higher timeframe momentum
 Setup Formation: Wait for trading timeframe RSI to show pullback to basis in trending direction
 Entry Timing: Use confirmation timeframe RSI band touch or crossover for precise entry
 Alignment Confirmation: All timeframes should show RSI moving in same direction for highest probability setups
 
 📋 DETAILED PARAMETER CONFIGURATION 
 RSI Source: 
 
 Close (Default): Standard price point, balances responsiveness and reliability
 HL2: Reduces noise from intrabar volatility, provides smoother RSI values
 HLC3 or OHLC4: Further smoothing for very choppy markets, slower to respond but more stable
 Volume-Weighted: Consider using VWAP or volume-weighted prices for additional liquidity context
 
 RSI Length Parameter: 
 
 Shorter Periods (5-10): More responsive but generates more signals, suitable for scalping or very active trading, higher noise level
 Standard (14): Default and most widely used setting, proven balance between responsiveness and reliability, recommended starting point
 Longer Periods (21-30): Smoother momentum measurement, fewer but potentially more reliable signals, better for swing trading or position trading
 Optimization Note: Test across different market regimes, optimal length often varies by instrument volatility characteristics
 
 RSI MA Type Parameter: 
 
 RMA (Default): Wilder's original smoothing method, provides traditional RSI behavior with balanced lag, most widely recognized and tested, recommended for standard technical analysis
 EMA: Exponential smoothing gives more weight to recent values, faster response to momentum changes, suitable for active trading and trending markets, reduces lag compared to RMA
 SMA: Simple average treats all periods equally, smoothest output with highest lag, best for filtering noise in choppy markets, useful for long-term position analysis
 WMA: Weighted average emphasizes recent data less aggressively than EMA, middle ground between SMA and EMA characteristics, balanced responsiveness for swing trading
 Advanced Options: Full access to 25+ moving average types including HMA (reduced lag), DEMA/TEMA (enhanced responsiveness), KAMA/FRAMA (adaptive behavior), T3 (smoothness), Kalman Filter (optimal estimation)
 Selection Guide: RMA for traditional analysis and backtesting consistency, EMA for faster signals in trending markets, SMA for stability in ranging markets, adaptive types (KAMA/FRAMA) for varying volatility regimes
 
 BB Length Parameter: 
 
 Short Length (10-15): Tighter bands that react quickly to RSI changes, more frequent band touches, suitable for active trading styles
 Standard (20): Balanced approach providing meaningful statistical context without excessive lag
 Long Length (30-50): Smoother bands that filter minor RSI fluctuations, captures only significant momentum extremes, fewer but higher quality signals
 Relationship to RSI Length: Consider BB Length greater than RSI Length for cleaner signals
 
 BB MA Type Parameter: 
 
 SMA (Default): Standard Bollinger Bands calculation using simple moving average for basis line, treats all periods equally, widely recognized and tested approach
 EMA: Exponential smoothing for basis line gives more weight to recent RSI values, creates more responsive bands that adapt faster to momentum changes, suitable for trending markets
 RMA: Wilder's smoothing provides consistent behavior aligned with traditional RSI when using RMA for both RSI and BB calculations
 WMA: Weighted average for basis line balances recent emphasis with historical context, middle ground between SMA and EMA responsiveness
 Advanced Options: Full access to 25+ moving average types for basis calculation, including HMA (reduced lag), DEMA/TEMA (enhanced responsiveness), KAMA/FRAMA (adaptive to volatility changes)
 Selection Guide: SMA for standard Bollinger Bands behavior and backtesting consistency, EMA for faster band adaptation in dynamic markets, matching RSI MA type creates unified smoothing behavior
 
 BB Multiplier Parameter: 
 
 Conservative (1.5-1.8): Tighter bands resulting in more frequent touches, useful in low volatility environments, higher signal frequency but potentially more false signals
 Standard (2.0): Default setting representing approximately 95% confidence interval under normal distribution, widely accepted statistical threshold
 Aggressive (2.5-3.0): Wider bands capturing only extreme momentum conditions, fewer but potentially more significant signals, reduces false signals in high volatility
 Adaptive Approach: Consider adjusting multiplier based on instrument characteristics, lower multiplier for stable instruments, higher for volatile instruments
 
 Parameter Optimization Workflow: 
 
 Start with default parameters (RSI:14, BB:20, Mult:2.0)
 Test across representative sample period including different market regimes
 Adjust RSI length based on desired responsiveness vs stability tradeoff
 Tune BB length to match your typical holding period
 Modify multiplier to achieve desired signal frequency
 Validate on out-of-sample data to avoid overfitting
 Document optimal parameters for different instruments and timeframes
 
 Reference Levels Display: 
 
 Enabled (Default): Shows traditional 30/50/70 levels for comparison with dynamic bands, helps visualize the adaptive advantage
 Disabled: Cleaner chart focusing purely on dynamic zones, reduces visual clutter for experienced users
 Educational Value: Keeping reference levels visible helps understand how dynamic bands differ from fixed thresholds across varying market conditions
 
 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES 
 Comparison with Traditional RSI: 
 Fixed Threshold RSI Limitations: 
 
 In ranging low-volatility markets: RSI rarely reaches 70/30, missing tradable extremes
 In trending high-volatility markets: RSI frequently breaks through 70/30, generating excessive false reversal signals
 Across different instruments: Same thresholds applied to volatile crypto and stable forex pairs produce inconsistent results
 Threshold Adjustment Problem: Manually changing thresholds for different conditions is subjective and lagging
 
 RSI Bollinger Bands Advantages: 
 
 Automatic Adaptation: Bands adjust to current volatility regime without manual intervention
 Consistent Logic: Same statistical approach works across different instruments and timeframes
 Reduced False Signals: Band width filtering helps distinguish meaningful extremes from noise
 Additional Information: Band width provides volatility context missing in standard RSI
 Objective Extremes: Statistical basis (standard deviations) provides objective extreme definition
 
 Comparison with Price-Based Bollinger Bands: 
 Price BB Characteristics: 
 
 Measures absolute price volatility
 Affected by large price gaps and outliers
 Band position relative to price not normalized
 Difficult to compare across different price scales
 
 RSI BB Advantages: 
 
 Normalized Scale: RSI's 0-100 bounds make band interpretation consistent across all instruments
 Momentum Focus: Directly measures momentum extremes rather than price extremes
 Reduced Gap Impact: RSI calculation smooths price gaps impact on band calculations
 Comparable Analysis: Same RSI BB appearance across stocks, forex, crypto enables consistent strategy application
 
 Performance Characteristics: 
 Signal Quality: 
 
 Higher Signal-to-Noise Ratio: Dynamic bands help filter RSI oscillations that don't represent meaningful extremes
 Context-Aware Alerts: Band width provides volatility context helping traders adjust position sizing and stop placement
 Reduced Whipsaws: During consolidations, narrower bands prevent premature signals from minor RSI movements
 
 Responsiveness: 
 
 Adaptive Lag: Band calculation introduces some lag, but this lag is adaptive to current conditions rather than fixed
 Faster Than Manual Adjustment: Automatic band adjustment is faster than trader's ability to manually modify thresholds
 Balanced Approach: Combines RSI's inherent momentum lag with BB's statistical smoothing for stable yet responsive signals
 
 Versatility: 
 
 Multi-Strategy Application: Supports both mean reversion (ranging markets) and trend continuation (trending markets) approaches
 Universal Instrument Coverage: Works effectively across equities, forex, commodities, cryptocurrencies without parameter changes
 Timeframe Agnostic: Same interpretation applies from 1-minute charts to monthly charts
 
 Limitations and Considerations: 
 Known Limitations: 
 
 Dual Lag Effect: Combines RSI's momentum lag with BB's statistical lag, making it less suitable for very short-term scalping
 Requires Volatility History: Needs sufficient bars for BB calculation, less effective immediately after major regime changes
 Statistical Assumptions: Assumes RSI values are somewhat normally distributed, extreme trending conditions may violate this
 Not a Standalone System: Like all indicators, should be combined with price action analysis and risk management
 
 Optimal Use Cases: 
 
 Best for swing trading and position trading timeframes
 Most effective in markets with alternating volatility regimes
 Ideal for traders who use multiple instruments and timeframes
 Suitable for systematic trading approaches requiring consistent logic
 
 Suboptimal Conditions: 
 
 Very low timeframes (< 5 minutes) where lag becomes problematic
 Instruments with extreme volatility spikes (gap-prone markets)
 Markets in strong persistent trends where mean reversion rarely occurs
 Periods immediately following major structural changes (new trading regime)
 
 USAGE NOTES 
This indicator is designed for technical analysis and educational purposes to help traders understand the interaction between momentum measurement and statistical volatility bands. The RSI Bollinger Bands has limitations and should not be used as the sole basis for trading decisions.
 Important Considerations: 
 
 No Predictive Guarantee: Past band touches and patterns do not guarantee future price behavior
 Market Regime Dependency: Indicator performance varies significantly between trending and ranging market conditions
 Complementary Analysis Required: Should be used alongside price action, support/resistance levels, and fundamental analysis
 Risk Management Essential: Always use proper position sizing, stop losses, and risk controls regardless of signal quality
 Parameter Sensitivity: Different instruments and timeframes may require parameter optimization for optimal results
 Continuous Monitoring: Band characteristics change with market conditions, requiring ongoing assessment
 
 Recommended Supporting Analysis: 
 
 Price structure analysis (support/resistance, trend lines)
 Volume confirmation for breakout signals
 Multiple timeframe alignment
 Market context awareness (news events, session times)
 Correlation analysis with related instruments
 
The indicator aims to provide adaptive momentum analysis that adjusts to changing market volatility, but traders must apply sound judgment, proper risk management, and comprehensive market analysis in their decision-making process.
Multiple Symbol Trend Screener [Pineify]Multiple Symbol Trend Screener Pineify – Ultimate Multi-Indicator Scanner for TradingView 
 Empower your trading with deep market insights across multiple symbols using this feature-rich Pine Script screener. The Multiple Symbol Trend Screener Pineify enables traders to monitor and compare trends, reversals, and consolidations in real-time across the biggest equity symbols on TradingView, through a synergistic blend of popular technical indicators. 
 Key Features 
 
 Monitor up to 15 symbols and their trends simultaneously
 Integrates 7 professional-grade indicators: MA Distance, Aroon, Parabolic SAR (PSAR), ADX, Supertrend, Keltner Channel, and BBTrend
 Color-coded table display for instant visual assessment
 Customizable lookback periods, indicator types, and calculation methods
 SEO optimized for multi-symbol trend detection, screener, and advanced TradingView indicator
 
 How It Works 
 This indicator leverages TradingView’s Pine Script v6 and request.security() to process multiple symbols across selected timeframes. Data populates a dynamic table, updating each cell based on the calculated value of every underlying indicator. MA Distance highlights deviation from moving averages; Aroon flags emerging trend strength; PSAR marks potential trend reversals; ADX assesses trend momentum; Supertrend detects bullish/bearish phases; Keltner Channel and BBTrend offer volatility and power insights. 
 
 Set up your preferred symbols and timeframes
 Each indicator runs its calculation per symbol using its parameter group
 All results are displayed in a table for a comprehensive dashboard view
 
 Trading Ideas and Insights 
 Traders can use this screener for cross-market comparison, directional bias, entry/exit filtering, and comprehensive trend evaluation. The screener is excellent for swing trading, day trading, and portfolio tracking. It enables confirmation across multiple frameworks — for example, spotting momentum with ADX before confirming direction with Supertrend and PSAR. 
 
 Identify correlated movements or divergences across selected assets
 Spot synchronized trend changes for basket trading ideas
 Filter symbols by volatility, strength, or trend status for precise trade selection
 
 How Multiple Indicators Work Together 
 The screener’s edge lies in its intelligent correlation of popular indicators. MA Distance measures the proximity to chosen moving averages, ideal for spotting overbought/oversold conditions. Aroon reveals the strength of new price trends, PSAR indicates reversal signals, and ADX quantifies the momentum of these trends. Supertrend provides a directional phase, while Keltner Channel & BBTrend analyze volatility shifts and band compressions. This amalgamation allows for a robust, multi-dimensional market snapshot, capturing details missed by single-indicator tools. 
 By displaying all key metrics side-by-side, the screener enables holistic decision-making, revealing confluence zones and contradiction areas across multiple tickers and timeframes. 
 Unique Aspects 
 
 Original implementation combining seven independent trend and momentum indicators for each symbol
 Rich customization for symbols, timeframes, and all indicator parameters
 Intuitive color-coding for quick reading of bullish/bearish/neutral signals
 Comprehensive dashboard for instant actionable insights
 
 How to Use 
 
 Load the indicator onto your TradingView chart
 Go to the script’s settings and input your preferred symbols and relevant timeframes
 Set your desired parameters for each indicator group: Moving Average type, Aroon length, PSAR values, ADX smoothing, etc.
 Observe the results in the top-right table, then use it to filter candidates and validate trade setups
 
 The screener is suitable for all timeframes and asset classes available on TradingView. Make sure your chart’s timeframe matches the one used in the scanner for optimal accuracy. 
 Customization 
 
 Choose up to 15 symbols to monitor in a single dashboard
 Customize lookback periods, indicator types, colors, and display settings
 Configure alerting options and thresholds for advanced trade automation
 
 Conclusion 
 The Multiple Symbol Trend Screener Pineify sets a new standard for multi-asset screening on TradingView. By elegantly merging seven proven technical indicators, the screener delivers powerful trend detection, reversal analysis, and volatility monitoring — all in one dashboard. Take your trading to new heights with in-depth, customizable market surveillance. 
 RMBS Smart Detector - Multi-Factor Momentum System
# RMBS Smart Detector - Multi-Factor Momentum System
## Overview
RMBS (Smart Detector - Multi-Factor Momentum System) is a proprietary scoring method developed by Ario, combining normalized RSI and Bollinger band positioning into a single composite metric.
---
## Core Methodology
### Buy/Sell Logic
 Marker (green or red )appear when **all four filters** pass:
**1. RMBS Score (Momentum Strength)**
From the formula Bellow
Combined Range: -10 (extreme bearish) to +10 (extreme bullish)
Signal Thresholds:
• BUY: Score > +3.0
• SELL: Score < -3.0
2. EMA Trend Filter
BUY: EMA(21) > EMA(55) → Uptrend confirmed
SELL: EMA(21) < EMA(55) → Downtrend confirmed
3. ADX Strength Filter
Minimum ADX: 25 (adjustable 20-30)
ADX > 25: Trending market → Signal allowed
ADX < 25: Range-bound → Signal blocked
4. Alternating Logic
Prevents signal spam by requiring alternation:
✓ BUY → SELL → BUY (allowed)
✗ BUY → BUY → BUY (blocked)
________________________________________
Mathematical Foundation
RMBS Formula: scoring method developed by Ario
RMBS = (RSI – 50) / 10 + ((BB_pos – 50) / 10)
where:
• RSI = Relative Strength Index (close, L)
• BB_pos = (Close – (SMA – 2 σ)) / ((SMA + 2 σ) – (SMA – 2 σ)) × 100
• σ = standard deviation of close over lookback L
• SMA = simple moving average of close over lookback L
• L = rmbs_length (period setting)
This produces a normalized composite score around zero:
•	Positive → bullish momentum and upper band dominance
•	Negative → bearish momentum and lower band pressure
•	Near 0 → neutral or transitional zone
Input Parameters
ADX Threshold (default: 25)
•	Lower (20-23): More signals, less filtering
•	Higher (28-30): Fewer signals, stronger trends
•	Recommended: 25 for balanced filtering
Signal Thresholds
•	BUY: +3.0 (adjustable)
•	SELL: -3.0 (adjustable)
Visual Options
•	Marker colors
•	Background highlights
•	Alert settings
________________________________________
Usage Guidelines
How to Interpret
•	🟢 Green Marker: All conditions met for Bull condition
•	🔴 Red Marker: All conditions met for Bear condition
•	No Marker: Waiting for confirmation
________________________________________
Important Disclaimers
⚠️ Educational Purpose Only
•	This tool demonstrates multi-factor technical analysis concepts
•	Not financial advice or trade recommendations
•	No guarantee of profitability
⚠️ Known Limitations
•	Less effective in ranging/choppy markets
•	Requires proper risk management (stop-loss, position sizing)
•	Should be combined with fundamental analysis
⚠️ Risk Warning
Trading involves substantial risk of loss. Past performance does not indicate future results. Always conduct your own research and consult professionals before trading.
________________________________________
Open Source
Full Pine Script code available for educational study and modification. Feedback and improvement suggestions welcome.
“All logic is presented for research and educational visualization.”
---
**Attribution & Fair Use Notice**  
The RMBS scoring framework (Multi-Factor Momentum System) was originally designed and formulated by *Ahmadrezarahmati( Ario  or Ario_ Pine Lab)*.  
If you build upon, modify, or republish this logic—please include proper attribution to the original author.  This request is made under a spirit of open collaboration and educational fairness.
TTM Squeeze Range Lines (with Forward Extension) By Gautam KumarThis TTM Squeeze Range Lines script helps visualize breakout levels by marking the recent squeeze’s high and low, making it easier to identify potential trade setups. Each signal line is extended for visibility, showing possible entry levels after a squeeze.
Interpreting the LinesLight blue background marks periods when the TTM squeeze is active (tight volatility).
Green line is drawn at the highest price during the squeeze, extended forward—this is commonly used as the breakout level for long entries.
Red line shows the lowest price during the squeeze, indicating the bottom of the range—potential stop loss positioning or an invalidation level.
When the squeeze background disappears, the horizontal lines will have just appeared and extended forward for several bars after the squeeze ends.
If the price breaks above the green line (the squeeze high), it signals a possible momentum breakout, which traders often use as a long entry.
The red line can be used for placing stop losses or monitoring failed breakouts if price falls below this level.
Best Practices
Combine these levels with volume and momentum confirmation for strong entries.
Adjust the extension length (number of bars forward) from the settings menu to fit your preference.
For systematic trading, use these breakout signals alongside chart pattern or histogram confirmation.
This makes it easy to visualize strong entry zones based on the end of squeeze compression, supporting both discretionary and automated swing trading approaches
BBKC Combined Channels OverlayBBKC Combined Channels Overlay (Volatility & Mean Reversion)This indicator provides a clean, single-view envelope combining the Bollinger Bands (BB) and Keltner Channels (KC) directly onto your price chart. It is an essential tool for traders operating with Volatility Compression (The Squeeze) and Mean Reversion strategies in fast-moving markets like Futures, High BTC Beta Equities, and Crypto. The goal of this tool is twofold: to visually frame the market's current volatility state and to identify high-probability entry points based on expansion or extreme contraction. How to Use the BBKC Overlay: Spotting the Squeeze (Accumulation Phase):The Squeeze is identified when the Bollinger Bands (BB) contract and fit inside the Keltner Channels (KC).The area is clearly marked with a subtle Orange Background Highlight on the main chart. This is the Accumulation phase, signaling low volatility before a potential large directional move. Trading Mean Reversion: When price pushes aggressively outside the outermost bands (the BB Upper/Lower), it signals an extreme volatility expansion and over-extension. This is a strong setup for mean reversion—a high-probability trade targeting a snap-back towards the central Basis Line (SMA).Customizing for Extreme Compression: For traders looking only for the tightest, highest-probability Squeezes, adjust the following setting: KC Multiplier (ATR): Lower this value from the default of 1.5 down to 1.25 or 1.0. This narrows the KC, forcing the Bollinger Bands to contract even further to trigger the Squeeze signal, thus filtering for only the most minimal volatility. Recommended Synergy: For a complete volatility system, pair this BBKC Combined Channels Overlay (your visualization tool) with the BBKC Squeeze Indicator (the sub-pane momentum histogram).Overlay (Main Chart): Shows where the Squeeze is occurring and identifies mean reversion targets. Squeeze Indicator (Lower Pane): Shows if the Squeeze is active and the directional momentum building up, helping you time the breakout entry for the Manipulation/Distribution phase.
Bollinger Keltner Squeeze Indicator (BBKC)Bollinger Keltner Squeeze Indicator (BBKC)This single-pane indicator combines the power of Bollinger Bands (BB) and Keltner Channels (KC) to accurately identify periods of low volatility compression—the famous Squeeze—which often precedes large, directional moves.Designed for traders utilizing Accumulation, Manipulation, Distribution (AMD) strategies, this tool makes spotting the 'Accumulation' phase simple and visually clear, perfect for high BTC Beta equities or futures markets like MES and MNQ.Key Features:Clear Squeeze Visualization:The background of the main chart is shaded Orange when the Squeeze is active (BB is inside KC). This immediately highlights periods of extreme compression.A simple Red/Green Dot below the chart confirms the Squeeze state (Red = Squeeze ON, Green = Squeeze OFF).Momentum Histogram:A built-in momentum oscillator smooths price action and guides the anticipated direction of the breakout.Teal/Orange Bars: Indicate momentum direction while the Squeeze is active (building pressure).Bright Green/Red Bars: Indicate momentum direction after the Squeeze has broken (expansion/breakout).How to Find Maximum Volatility Compression (The "Tightest" Squeeze)To align this indicator with a strategy focused on catching only the most extreme volatility compression—the key to those explosive moves—traders should adjust the Keltner Channel Multiplier setting.Setting Name: KC Multiplier (ATR)Default Value: 1.5Recommended Adjustment: To filter for only the absolute tightest squeezes (where price is least volatile), decrease this multiplier value, typically down to 1.25 or even 1.0.By lowering the KC Multiplier (ATR), you narrow the Keltner Channel boundaries. This requires the Bollinger Bands to compress even further to fit inside, ensuring the indicator only signals the Squeeze state during moments of truly minimal volatility, setting you up for maximum opportunity.
10MAs + BB10 MAs riboon + Bollinger Bands
I used two basic Multiple MA ribbons. so I just merge them to one indicaotor
BB Crosses Optimized - [JTCAPITAL]BB Crosses Optimized -   is a modified way to use  Bollinger Bands combined with volatility filtering (ATR) and flexible smoothing methods  for Trend-Following.
The indicator works by calculating in the following steps:
 
   Source Selection & Smoothing 
The script begins by letting the user select a preferred  price source  (default is Close, but options include Open, High, Low, HL2, etc.). This raw input is then passed through a smoothing process.
Multiple smoothing techniques can be chosen: SMA, EMA, HMA, DEMA, TEMA, RMA, and FRAMA. Each method reduces short-term noise differently, ensuring flexibility for traders who prefer faster or slower reaction speeds in trend detection.
   Bollinger Band Construction 
Once the smoothed source is prepared, Bollinger Bands are calculated. The middle band is a moving average of the smoothed data over the defined  BB Period . The upper and lower bands are then generated by adding and subtracting the  Standard Deviation × Deviation multiplier . These dynamic bands capture volatility and help define breakout zones.
   ATR Volatility Measurement 
Parallel to the band calculation, the Average True Range (ATR) is computed over the chosen  ATR Period . This measures market volatility. The ATR can optionally act as a filter, refining buy and sell levels so signals adapt to current market conditions rather than being fixed to price alone.
   Bollinger Band Signals 
-If the smoothed price closes above the upper band, a potential bullish event is marked.
-If the smoothed price closes below the lower band, a potential bearish event is marked.
   Trend Line Construction 
When a bullish event occurs, the script anchors a trend-following line beneath price. If ATR filtering is enabled, the line is set at  Low – ATR , otherwise at the simple Low. Conversely, when a bearish event occurs, the line is anchored above price at  High + ATR  (or just High without the filter). The line is designed to only move in the direction of the trend—if price action does not exceed the prior value, the previous level is held. This prevents unnecessary whipsaws and keeps the indicator aligned with dominant momentum.
   Final Trend Detection 
The slope of the trend line defines the trend itself:
-Rising line → bullish trend.
-Falling line → bearish trend.
   Visual Output 
The indicator plots the trend line with dynamic coloring: Blue for bullish phases, Purple for bearish phases. A subtle filled background area emphasizes the active trend zone for clearer chart interpretation.
 
 Buy and Sell Conditions: 
- Buy Signal : Triggered when smoothed price closes above the upper Bollinger Band. Trend line then anchors below price (with or without ATR offset depending on settings).
- Sell Signal : Triggered when smoothed price closes below the lower Bollinger Band. Trend line then anchors above price (with or without ATR offset).
Additional filtering is possible via:
- ATR Toggle : Switch ATR on or off to adapt the strategy to either volatile or steady markets.
- Smoothing Method : Adjust smoothing to speed up or slow down responsiveness.
- Deviation Multiplier : Tight or wide bands adjust the sensitivity of signals.
 Features and Parameters: 
- Source : Choose between Close, Open, High, Low, HL2, etc.
- Average Type : Options include SMA, EMA, HMA, DEMA, TEMA, RMA, FRAMA.
- ATR Period : Defines how ATR volatility is measured.
- BB Period : Lookback length for Bollinger Band construction.
- Deviation : Multiplier for the standard deviation in Bollinger Bands.
- Smoothing Period : Controls how much the source data is smoothed.
- ATR Filter On/Off : Enables or disables ATR integration in signal calculation.
 Specifications: 
 Smoothing (MA Types) 
Smoothing is essential to reduce chart noise. By offering multiple MA choices, traders can balance between lag (SMA, RMA) and responsiveness (EMA, HMA, FRAMA). This flexibility allows the indicator to adapt across asset classes and trading styles.
 Bollinger Bands 
Bollinger Bands measure price deviation around a moving average. They help identify volatility expansion and contraction. In this script, the bands serve as breakout triggers—price crossing outside suggests momentum strong enough to sustain a trend.
 Standard Deviation 
Standard Deviation is a statistical measure that quantifies the dispersion of price data around the mean. With a multiplier applied, it creates bands that contain a probabilistic portion of price action. Crossing beyond these suggests a higher likelihood of trend continuation.
 ATR (Average True Range) 
ATR measures the degree of volatility. Instead of simply reacting to price crossing the bands, ATR ensures the trend line placement adapts to current conditions. In volatile markets, wider buffers prevent premature signals; in calmer markets, tighter placement keeps signals responsive.
 Trend Line Logic 
The trend line only adjusts in the direction of the trend. If new values do not exceed the prior, the line remains unchanged. This prevents false reversals and makes the line a reliable visual confirmation of trend direction.
 Signal Detection 
The indicator does not repaint: signals are based on confirmed closes relative to the Bollinger Bands. This makes it more reliable for both live trading and backtesting scenarios.
 Visual Enhancements 
The use of dual plots and fill shading creates a clearer separation of bullish vs. bearish phases. This helps traders visually align entries and exits without second-guessing.
Enjoy!
FlowSpike ES — BB • RSI • VWAP + AVWAP + News MuteThis indicator is purpose-built for E-mini S&P 500 (ES) futures traders, combining volatility bands, momentum filters, and session-anchored levels into a streamlined tool for intraday execution.
Key Features:
	•	ES-Tuned Presets
Automatically optimized settings for scalping (1–2m), daytrading (5m), and swing trading (15–60m) timeframes.
	•	Bollinger Band & RSI Signals
Entry signals trigger only at statistically significant extremes, with RSI filters to reduce false moves.
	•	VWAP & Anchored VWAPs
Session VWAP plus anchored VWAPs (RTH open, weekly, monthly, and custom) provide high-confidence reference levels used by professional order-flow traders.
	•	Volatility Filter (ATR in ticks)
Ensures signals are only shown when the ES is moving enough to offer tradable edges.
	•	News-Time Mute
Suppresses signals around scheduled economic releases (customizable windows in ET), helping traders avoid whipsaw conditions.
	•	Clean Alerts
Long/short alerts are generated only when all conditions align, with optional bar-close confirmation.
Why It’s Tailored for ES Futures:
	•	Designed around ES tick size (0.25) and volatility structure.
	•	Session settings respect RTH hours (09:30–16:00 ET), the period where most liquidity and institutional flows concentrate.
	•	ATR thresholds and RSI bands are pre-tuned for ES market behavior, reducing the need for manual optimization.
⸻
This is not a generic indicator—it’s a futures-focused tool created to align with the way ES trades day after day. Whether you scalp the open, manage intraday swings, or align to weekly/monthly anchored flows, FlowSpike ES gives you a clear, rules-based signal framework.
Daniel.Yer BB EntryMy BB entry strategy. 
need to improve a little the code, but for start, its look very good.
also need to check the statistic in 3 and 5 min range. 
Great Job :) 
RSI/Stochastic with overlays a moving average + Bollinger BandsCompact oscillator panel that lets you switch the base between RSI and Stochastic %K, then overlays a moving average + Bollinger Bands on the oscillator values (not on price) to read momentum strength and squeeze/expansion.
What’s added
Selectable base: RSI ↔ Stochastic %K (plots %D when Stoch is chosen).
MA + BB on oscillator to gauge momentum trend (MA) and volatility (bands).
Adjustable bands 70/50/30 with optional fill, plus optional regular divergence and alerts.
How to read
Bull bias: %K above osc-MA and pushing/closing near Upper BB; confirm with %K > %D.
Bear bias: %K below osc-MA and near Lower BB; confirm with %K < %D.
Squeeze: BB on oscillator tightens → expect momentum breakout.
Overextension: repeated touches of Upper/Lower BB in 70/30 zones → strong trend; watch for %K–%D recross.
Quick settings (start here)
Stoch: 14 / 3 / 3; Bands: 70/50/30.
Osc-MA: EMA 14.
BB on oscillator: StdDev 2.0 (tune 1.5–2.5).
Note
Analysis tool, not financial advice. Backtest across timeframes and use risk management.
Advanced Grid Trading System - [WOLONG X DBG]Overview
This sophisticated grid trading system combines Bollinger Bands breakout analysis with RSI filtering to create a comprehensive automated trading approach. The system implements advanced grid management with dynamic lot sizing, intelligent ATR-based spacing, and comprehensive risk management features including drawdown protection, time-based trading controls, and multi-level position management.
Methodology
The indicator employs a multi-layered analytical approach based on established technical analysis principles:
Core Signal Generation
Bollinger Bands Breakout Engine: Utilizes customizable period Bollinger Bands (default 35) with highest/lowest price detection over the calculation period to identify potential reversal points when price breaks below recent lows or above recent highs
RSI Confirmation Filter: Implements RSI-based signal filtering with customizable maximum RSI values to avoid entries during overbought/oversold conditions, requiring RSI below (50 - max_rsi_value) for buy signals and above (50 + max_rsi_value) for sell signals
Grid Management System: Advanced progressive grid system with configurable pip-based spacing, intelligent ATR-based distance calculation, and cumulative lot sizing with customizable multipliers
Advanced Features
Dynamic Lot Sizing: Eight calculation methods including Fixed Lot, Dynamic by Balance/Equity, and risk-based percentage approaches (Low Risk 20%, Medium Risk 40%, High Risk 80%, Extreme Risk 120%, Margin Loading)
Comprehensive Risk Management: Multi-layered drawdown protection with percentage and absolute value limits, automatic position closure options, and trading suspension features with time-based recovery
Time-Based Controls: Configurable GMT-based trading hours with start/stop times for session-specific trading and market condition adaptation
Key Components
Signal Types
Primary Entry Signals: Buy signals when price breaks below recent lowest values within Bollinger period with RSI confirmation; Sell signals when price breaks above recent highest values with RSI confirmation
Grid Expansion Logic: Automatic additional entries based on configurable pip distances from base price, triggered when price moves against initial position by specified intervals
Take Profit Systems: Dual-mode TP calculation using either weighted average across all positions or individual level TP with customizable pip values
Stop Loss Protection: Grid-wide SL with customizable pip distances or default 1000-pip protection
Visual Elements
Bollinger Bands Display: Three-line Bollinger Bands system with upper, middle (SMA), and lower bands for trend and volatility analysis
Grid Base Line: Yellow dashed line showing initial grid entry level with right extension for reference
Comprehensive TP/SL Lines: Dual-line system showing both first order reference levels (dotted, light colors) and official Martingale weighted average levels (solid, bold colors)
Entry Point Labels: Detailed entry markers showing BUY/SELL direction, grid level, and lot size information
Dual Dashboard System: Main control panel (top-right) and dark theme entry log (bottom-right) with real-time status updates
Usage Instructions
Basic Configuration
Capital Management: Select lot calculation method from dropdown (recommended: "Low Risk 20%" for conservative approach)
Grid Parameters: Configure trading distance (default 35 pips) and enable smart distance for ATR-based dynamic adjustments
Strategy Settings: Set Bollinger period (35), RSI period (20), and maximum RSI value (15) for signal filtering
Risk Controls: Configure maximum drawdown percentage and action when limits are exceeded
Signal Interpretation
Buy Entry Conditions: Generated when current close price breaks below the lowest price in the Bollinger calculation period, with RSI below (50 - max_rsi_value)
Sell Entry Conditions: Generated when current close price breaks above the highest price in the Bollinger calculation period, with RSI above (50 + max_rsi_value)
Grid Expansion: Automatic additional entries when price moves against position by configured pip distances, with progressive lot sizing using multipliers
Exit Conditions: Weighted average TP achievement, breakeven after specified grid levels, or manual cycle completion
Dashboard Analysis
Main Control Panel: Displays current grid level, trading direction, open orders count, total volume, next lot size, grid P&L, current balance, floating drawdown, RSI status, trading hours, and system locks
Dark Theme Entry Log: Shows recent entry history with timestamps, entry types (BUY/SELL), prices, lot sizes, and grid levels for trade tracking
Risk Monitoring: Real-time drawdown tracking with color-coded warnings and automatic protection activation
Risk Management Features
Automatic Protections
Drawdown Limits: Configurable percentage (default 100%) and absolute USD drawdown limits with four response options: Close Orders and Stop 24h/Until Restart, or Prevent New Grid/Until Restart
Position Sizing: Eight dynamic lot calculation methods based on account equity, balance, or risk tolerance with maximum lot size limits
Grid Limitations: Maximum number of grid levels (default 9) to prevent excessive exposure accumulation
Time Controls: GMT-based trading hour restrictions to avoid high-volatility periods or specific market sessions
Confirmation Requirements
Multi-Indicator Alignment: Requires both Bollinger Bands breakout and RSI confirmation before signal generation
Intelligent Spacing: ATR-based grid spacing adjustment using short-term (96-period) vs long-term (672-period) ATR ratio for market volatility adaptation
Progressive Sizing: Configurable lot multipliers for different grid levels (Order 2: 1.0x, Orders 3-5: 2.0x, Orders 6+: 1.5x default)
Optimal Settings
Timeframe Recommendations
Scalping: 1M-5M charts with reduced grid spacing (20-25 pips) and tighter RSI filters
Day Trading: 15M-1H charts with standard settings (35 pips) and default RSI parameters
Swing Trading: 4H-Daily charts with increased spacing (50+ pips) and relaxed RSI filters
Market Conditions
Trending Markets: Reduce RSI maximum value to 10-12, increase grid spacing to 40-50 pips, enable breakeven functionality
Ranging Markets: Standard settings with weighted TP enabled and moderate grid spacing
High Volatility: Enable smart distance, reduce maximum grid levels to 6-7, increase drawdown limits
Advanced Features
Customization Options
Lot Calculation Methods: Eight different approaches from fixed lot (0.01) to risk-based percentage calculations with margin loading options
Grid Multipliers: Separate multiplier settings for different grid levels (2nd order, 3rd-5th orders, 6th+ orders) with decimal precision
TP/SL Configuration: Individual or weighted average TP calculation with positive/negative pip values, breakeven after specified levels
Visual Controls: Toggle options for dashboard display, entry labels, TP/SL lines, lot information, and dark theme components
Technical Specifications
Grid Management: Up to 50 configurable grid levels with progressive lot sizing and cumulative position tracking
Risk Controls: Dual drawdown limits (percentage and absolute) with four different response actions and time-based recovery
Time Management: GMT-based trading hours with flexible start/end times supporting overnight sessions
Alert System: Five comprehensive alert conditions for new signals, drawdown warnings, maximum levels, and cycle completion
Important Limitations
Lagging Nature: Signals may appear after optimal entry points due to confirmation requirements and breakout validation
Grid Risk: Progressive lot sizing can lead to significant exposure accumulation during extended adverse price movements
Market Dependency: Performance varies significantly between trending and ranging market conditions, requiring parameter adjustments
Computational Load: Complex multi-array calculations and real-time dashboard updates may impact performance on slower devices
No Guarantee: All signals are suggestions based on technical analysis calculations and may be incorrect
Educational Disclaimers
This indicator is designed for educational and analytical purposes only. It represents a technical analysis tool based on mathematical calculations of historical price data and should not be considered as financial advice or trading recommendations.
Risk Warning: Grid trading involves substantial risk of loss and is not suitable for all investors. The progressive lot sizing methodology can lead to significant exposure accumulation during adverse market movements. Past performance of any trading system or methodology is not necessarily indicative of future results.
Important Notes:
Always conduct your own analysis before making trading decisions
Use appropriate position sizing and risk management strategies
Never risk more than you can afford to lose
Consider your investment objectives, experience level, and risk tolerance
Seek advice from qualified financial professionals when needed
Grid trading can result in multiple simultaneous positions with compounding risk exposure
Performance Disclaimer: Backtesting results do not guarantee future performance. Market conditions change constantly, and what worked in the past may not work in the future. The indicator's mathematical calculations are based on historical data patterns that may not repeat. Always paper trade new strategies before risking real capital.
System Limitations: The indicator relies on technical analysis principles and may produce false signals during unusual market conditions, news events, or periods of extreme volatility. Users should implement additional confirmation methods and maintain strict risk management protocols.
Outside the Bollinger Bands Alerting Indicator  Overview 
  The Outside the Bollinger Bands Alerting Indicator is a comprehensive technical analysis tool that combines multiple proven
  indicators into a single, powerful system designed to identify high-probability reversal patterns at Bollinger Band extremes. This
   indicator goes beyond simple band touches to detect sophisticated pattern formations that often signal strong directional moves.
 Key Features & Capabilities 
  🎯 Advanced Pattern Recognition
 Bollinger Band Breakout Patterns
  - Detects "pierce-and-reject" formations where price breaks through a Bollinger Band but immediately reverses back inside
  - Identifies failed breakouts that often lead to strong moves in the opposite direction
  - Combines multiple confirmation signals: engulfing candle patterns, MACD momentum, and ATR volatility filters
  - Visual alerts with symbols positioned below (bullish) or above (bearish) candles
Tweezer Top & Bottom Patterns
  - Identifies consecutive candles with nearly identical highs (tweezer tops) or lows (tweezer bottoms)
  - Requires at least one candle to breach the respective Bollinger Band
  - Confirms reversal with directional close requirements
  - Customizable tolerance settings for pattern sensitivity
  - Visual alerts with ❙❙ symbols for easy identification
  📊 Multi-Indicator Integration
Bollinger Bands Indicator
  - Dual-band configuration with outer (2.0 std dev) and inner (1.5 std dev) bands that can be adjusted to suit your own parameters
  - Configurable MA types: SMA, EMA, SMMA (RMA), WMA, VWMA
  - Customizable length, source, and offset parameters
  - Color-coded band fills for visual clarity
Moving Average Suite
  - EMA 9, 21, 50, and 200 (individually toggleable)
  - Special "SMA 3 High" for help visualizing and detecting Bollinger Band break-outs
  - Dynamic color coding based on price relationship
Optional Ichimoku Cloud overlay
  - Complete Ichimoku implementation with customizable periods
  - Dynamic cloud coloring based on trend direction
  - Toggleable overlay that doesn't interfere with other indicators
  🚨 Comprehensive Alert System
  Real-Time JSON Alerts
  - Sends structured data on every confirmed bar close
  - Includes all indicator values: BB levels, EMAs, MACD, RSI
  - Contains signal states and crossover conditions
  - Perfect for automated trading systems and webhooks
 {"timestamp":1753118700000,"symbol":"ETHUSD","timeframe":"5","price":3773.3,"bollinger_bands":{"upper":3826.95,"basis":3788.32,"lower":3749.68},"emas":{"ema_9":3780.45,"ema_21":3788.92,"ema_50":3800.79,"ema_200":3787.74,"sma_3_high":3789.45},"macd":{"macd":-10.1932,"signal":-11.3266,"histogram":1.1334},"rsi":{"rsi":40.5,"rsi_ma":39.32,"level":"neutral"}}
 
  Specific Alert Conditions
  - MACD histogram state changes (rising to falling, falling to rising)
  - RSI overbought/oversold crossovers
  - All pattern detections (BB Bounce, Tweezer patterns)
  - Bollinger Band breakout alerts
  🎨 Visual Elements
  Pattern Identification
  - ♻ symbols for Bollinger Band breakout patterns (green for bullish, red for bearish)
  - ❙❙ symbols for tweezer patterns (green below for bottoms, red above for tops)
  - Color-coded band fills for trend visualization
  Chart Overlay Options
  - All moving averages with distinct colors
  - Bollinger Bands with inner and outer boundaries
  - Optional Ichimoku cloud with trend-based coloring
 Trading Applications
 
  Reversal Trading
  - Identify high-probability reversal points at extreme price levels
  - Use failed breakout patterns for entry signals
  - Combine multiple timeframes for enhanced accuracy
  Trend Analysis
  - Monitor moving average relationships for trend direction
  - Use Ichimoku cloud for trend strength assessment
  - Track momentum with MACD and RSI integration
  Risk Management
  - ATR-based volatility filtering reduces false signals
  - Multiple confirmation requirements improve signal quality
  - Real-time alerts enable prompt decision making
 Suggested Use
  - Use on multiple timeframes for confluence
  - Combine with support/resistance levels for enhanced accuracy
  - Set up alerts for hands-free monitoring
  - Customize settings based on market volatility and trading style
  - Consider volume confirmation for stronger signals
VIX CCI Oscillator [Compression + EMA Trigger + Bounce Glow]VIX CCI OSCILLATOR
ADJ CHART FOR YOUR LIKING 
NOT AS SMOOTH AS PREVIOUS VERSION (STOCH)
SHOWS TIGER SIGNAL ON EMA
SAMEOUTPUT
HUD Box: emoji-coded tactical feedback
bounce 100 "💥 Expansion" :
bounce 0.8 "🔴 Overbought" :
bounce 0.618 "📉 Distribution" :
bounce 0.5 "🧠 Midline" :
bounce 0.382 "📈 Accumulation" :
bounce 0.2 "🟢 Oversold" :
bounce0.0 "💣 Expansion" : "⚪ Neutral"
Tiger EMA/STOCH
This logic checks if the oscillator is trending above or below its 48-period EMA,
If above, it paints the line GREEN🟢 (bullish),
If below, it paints it RED🔴 (bearish),
If compression is active, it overrides both with purple🟣 to highlight tactical squeeze conditions,
⚠️WARNING⚠️
ALWAYS REMEMBER THIS CHART IS VIX/USD
IN MOST CASES SPY MOVES VICE VERSA
I AM NOT RESPOSIBLE FOR YOUR OWN ACTIONS/TRADE IDEAS
EMA Envelope + SMA + Purple DotThis indicator combines three tools into one:
📈 EMA Envelope with wedge and range contraction signals to highlight volatility squeezes.
🔵 SMA with optional smoothing (SMA/EMA/WMA/SMMA/VWMA) and optional Bollinger Bands.
🟣 Purple Dot “PowerBars” that mark strong momentum bars when price ROC (%) and volume exceed user-defined thresholds.
It also includes:
Background highlighting of contraction zones (bullish/bearish/neutral colors).
A summary table showing PowerBar count and return (%) over custom lookback periods.
Flexible display settings (table position, dark/light theme, highlight toggle).
Designed for traders who want to track momentum bursts, volatility contraction, and trend strength all in one tool.
Crypto Breakout Buy/Sell Sequence 
⚙️ Components & Sequence Multiple Timeframe (What It Does)
1. Bollinger Bands – Form the foundation by measuring volatility and creating the dynamic range where squeezes and breakouts occur.
2. Squeeze Dots – Show when price compresses inside the bands, signaling reduced volatility before expansion.
3. Breakout Event (Brk Dot) – Fires when price expands beyond the squeeze zone, confirming volatility expansion. (This paints Intra, before candle close)
4. Buy Signal – Confirms entry after a breakout is validated. (This paints at candle close)
5. Pump Signal – Flags sudden surges that extend sharply from the bands, often linked to strong inflows.
6. Momentum Stream – Tracks the strength of movement following the breakout, from continuation (🟢) to slowing (🟡) to exhaustion (🔴). (Resets at Pump Signal)
7. Overbought Indicator – Confirms when momentum has reached overheated conditions, often aligning with band extremes.
8. Sell Signal – Prints when exhaustion/reversal conditions are met, closing the trade cycle.
  
The Crypto Breakout Buy/Sell Sequence is a no-repaint event indicator that maps a full trade cycle using Bollinger-band-based volatility states: Bollinger Bands → Squeeze → Breakout → Buy → Pump → Momentum → Top Test → Overbought → Sell. Each stage is rule-based and designed to be read on standard candlesticks.
How It Works (System Logic)
Volatility framework: Bollinger Bands define dynamic range and compression/expansion.
Initiation: Squeeze → Breakout confirms expansion; Buy validates participation after expansion begins.
Management: Pump highlights unusual acceleration; Momentum stream tracks continuation → slowing → exhaustion.
Exhaustion/Exit: Top Testing + Overbought build the exhaustion case; Sell marks the sequence end.
How To Use (Quick Guide)
Wait for Squeeze → Breakout → Buy to establish a structured start.
Manage with Momentum:
🟢 continuation, 🟡 slowing, 🔴 exhaustion pressure.
Monitor extremes: Top Testing and/or Overbought = tighten risk.
Exit on Sell or on your risk rules when exhaustion builds.
  
Limitations & Good Practice
Signals reflect price/volatility behavior, not certainty.
Strong trends can remain extended; Overbought/Top Test ≠ instant reversal.
Always confirm with your own risk rules, position sizing, and market context.
Initial public release: integrated Squeeze/Breakout/Buy → Momentum → Exhaustion → Sell cycle; improved label clarity; cleaned defaults.
Disclaimer
For educational purposes only. Not financial advice. Past performance does not guarantee future results. Test before live use.
Thank You
HTF Bollinger Bands S/R with ShadingBollinger Band works as good support and resistance levels. This indicator shows the BB 2SD and 3SD on daily, weekly and monthly on lower timeframes.






















