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
Ikat Bollinger / Bollinger Bands (BB)
BB TrendSyncBB TrendSync - Advanced Dual-Band Momentum Deviation System
Core Innovation and Originality
This indicator transforms traditional Bollinger Band analysis through three key innovations that distinguish it from standard implementations:
1. Dual-Band Percentage Oscillator Architecture: Unlike conventional Bollinger Bands that display price levels, this system converts dual Bollinger Band calculations into percentage-based oscillators. The first system uses extended lookback periods (40-period base with 65-period standard deviation) for macro trend detection, while the second employs rapid response parameters (8-period base with 66-period standard deviation) for micro momentum capture. Each system independently calculates where price sits within its band range as a percentage from 0-100.
2. Momentum Deviation Enhancement: The breakthrough innovation applies standard deviation analysis to the percentage oscillator readings themselves. Rather than analyzing price volatility, this technique measures the volatility of the oscillator's position within its range over a specified period (typically 25 periods with 0.8 multiplier). This creates dynamic "bands around the bands" that adapt to changing market momentum characteristics.
3. Multi-Modal Signal Synthesis: The system provides five distinct methods for combining dual-band signals, from simple arithmetic averaging to consensus requirements where both systems must agree. The "Average" mode specifically utilizes momentum deviation crossovers rather than basic threshold crossovers, creating refined entry timing.
Mathematical Framework
Percentage Conversion Formula:
The core calculation transforms standard Bollinger Band readings into normalized percentages using the formula:
BB_Percent = 100 * (Source - Lower_Band) / (Upper_Band - Lower_Band)
Momentum Deviation Calculation:
The system then calculates the standard deviation of these percentage readings:
MD_StdDev = StandardDeviation(BB_Percent, MD_Length)
Upper_MD_Band = BB_Percent + (MD_Multiplier * MD_StdDev)
Lower_MD_Band = BB_Percent - (MD_Multiplier * MD_StdDev)
Signal Generation Logic:
Primary signals occur when momentum deviation bands cross predetermined thresholds, providing earlier and more reliable entry points than standard Bollinger Band touches. The system tracks band states dynamically, changing visual indicators when momentum shifts are detected.
Value Proposition for Closed-Source Distribution
This indicator justifies TOP ELITE access through several proprietary elements:
Algorithmic Sophistication: The momentum deviation methodology represents original research into oscillator volatility analysis. While Bollinger Bands are public domain, applying volatility analysis to the percentage oscillator itself is a novel approach that required extensive backtesting and optimization.
Advanced Signal Processing: The five-mode signal combination system with momentum deviation integration provides significantly more nuanced analysis than standard Bollinger Band implementations. The state tracking and visual feedback systems offer professional-grade market analysis tools.
Comprehensive Analytics Engine: The integrated performance measurement system calculates advanced metrics including Sortino ratio, Calmar ratio, and Kelly Criterion position sizing guidance in real-time, providing institutional-quality analytics typically found in expensive trading platforms.
Professional Visualization Framework: The dynamic color-coding system, gradient oscillator bars, and state-aware visual elements provide immediate market sentiment feedback that goes far beyond basic indicator plotting.
Technical Implementation Details
Dual-System Parameters:
System 1 (Macro): 40-period SMA base, 65-period standard deviation calculation, 1.0 multiplier
System 2 (Micro): 8-period SMA base, 66-period standard deviation calculation, 1.9 multiplier
Momentum Deviation Settings:
Standard deviation length: 25 periods (optimized for detecting momentum shifts)
Multiplier: 0.8 (calibrated to reduce false signals while maintaining sensitivity)
Threshold Configuration:
Long threshold: 62% (upper momentum zone entry)
Short threshold: 60% (lower momentum zone entry)
Close thresholds create tight range for precision timing
Signal Modes Explained:
BB1 Only: Uses macro system exclusively for trend-following signals
BB2 Only: Uses micro system exclusively for momentum scalping
Average: Employs momentum deviation crossovers of averaged systems
Both Required: Demands agreement from both systems before signaling
Either One: Triggers when any system generates signals
Performance Metrics Explained
Core Performance Metrics:
Net Profit: Total percentage return from strategy implementation, showing bottom-line effectiveness of the signal generation system.
Win Rate: Percentage of profitable trades, indicating signal accuracy. Combined with profit factor analysis to ensure statistical reliability.
Total Trades: Number of completed round-trip trades for statistical significance assessment.
Current P&L: Real-time profit/loss percentage of active positions with continuous updates.
Risk Assessment Metrics:
Max Drawdown: Largest peak-to-trough equity decline, crucial for risk management and position sizing decisions.
Calmar Ratio: Annualized return divided by maximum drawdown, providing risk-adjusted performance measurement.
Advanced Risk Metrics:
Sharpe Ratio: Excess return per unit of total volatility, industry standard for risk-adjusted performance comparison.
Sortino Ratio: Similar to Sharpe but focuses on downside deviation only, providing more realistic risk assessment.
Kelly Criterion (Half): Optimal position sizing calculation based on win probability and average win/loss ratios, using conservative half-Kelly approach.
Real-Time Status:
Position: Current market exposure (Long/Short/Cash)
MD State: Momentum deviation status (Bullish/Bearish/Neutral)
Practical Application
Setup Recommendations:
Use "Average" mode for balanced signal generation combining both timeframe perspectives
Monitor momentum deviation band colors for trend confirmation
Observe gradient oscillator position for market sentiment assessment
Utilize performance metrics for strategy optimization and risk management
Adjust thresholds based on market volatility characteristics
Market Applicability:
The system functions across all timeframes and instruments, with particular effectiveness in trending markets where momentum persistence provides statistical edge. The dual-band approach captures both short-term momentum shifts and longer-term trend developments.
Competitive Advantages
Unlike standard Bollinger Band indicators that simply plot price bands, this system provides:
Quantified momentum analysis through volatility-of-volatility calculations
Multi-modal signal processing for diverse market conditions
Professional-grade performance analytics with institutional metrics
Dynamic visual feedback systems for immediate market assessment
Optimized parameter sets developed through extensive backtesting
12H SUI
1H BTC Since 2023
Risk Disclaimer
This indicator is designed for educational and analytical purposes. It does not constitute financial advice or trading recommendations. Past performance does not guarantee future results. Trading involves substantial risk of loss, and you should carefully consider your financial situation before making trading decisions. The indicator's signals should be part of comprehensive analysis and never the sole basis for trading decisions. Always conduct independent research.
Technical Requirements
Compatible with all TradingView chart types and timeframes. Optimized for real-time analysis with efficient computational algorithms suitable for live trading environments.
Penguin Volatility State StrategyThe Penguin Volatility State Strategy is a comprehensive technical analysis framework designed to identify the underlying "state" or "regime" of the market. Instead of just providing simple buy or sell signals, its primary goal is to classify the market into one of four distinct states by combining trend, momentum, and volatility analysis.
The core idea is to trade only when these three elements align, focusing on periods of volatility expansion (a "squeeze breakout") that occur in the direction of a confirmed trend and are supported by strong momentum.
Key Components
The strategy is built upon two main engines
The Volatility Engine (Bollinger Bands vs. Keltner Channels)
This engine detects periods of rapidly increasing volatility. It measures the percentage difference (diff) between the upper bands of Bollinger Bands (which are based on standard deviation) and Keltner Channels (based on Average True Range). During a volatility "squeeze," both bands are close. When price breaks out, the Bollinger Band expands much faster than the Keltner Channel, causing the diff value to become positive. A positive diff signals a volatility breakout, which is the moment the strategy becomes active.
The Trend & Momentum Engine (Multi-EMA System)
This engine determines the market's direction and strength. It uses:
A Fast EMA (e.g., 12-period) and a Slow EMA (e.g., 26-period): The crossover of these two moving averages defines the primary, underlying trend (similar to a MACD).
An Ultra-Fast EMA (e.g., 2-period of ohlc4): This is used to measure the immediate, short-term momentum of the price.
The Four Market States
By combining the Trend and Momentum engines, the strategy categorizes the market into four visually distinct states, represented by the chart's background color. This is the most crucial aspect of the system.
💚 Green State: Strong Bullish
The primary trend is UP (Fast EMA > Slow EMA) AND the immediate momentum is STRONG (Price > Fast EMA).
Interpretation: This represents a healthy, robust uptrend where both the underlying trend and short-term price action are aligned. It is considered the safest condition for taking long positions.
❤️ Red State: Strong Bearish
Condition: The primary trend is DOWN (Fast EMA < Slow EMA) AND the immediate momentum is WEAK (Price < Fast EMA).
Interpretation: This represents a strong, confirmed downtrend. It is considered the safest condition for taking short positions.
💛 Yellow State: Weakening Bullish / Pullback
Condition: The primary trend is UP (Fast EMA > Slow EMA) BUT the immediate momentum is WEAK (Price < Fast EMA).
Interpretation: This is a critical warning signal for bulls. While the larger trend is still up, the short-term price action is showing weakness. This could be a minor pullback, a period of consolidation, or the very beginning of a trend reversal. Caution is advised.
💙 Blue State: Weakening Bearish / Relief Rally
Condition: The primary trend is DOWN (Fast EMA < Slow EMA) BUT the immediate momentum is STRONG (Price > Fast EMA).
Interpretation: This signals that a downtrend is losing steam. It often represents a short-covering rally (a "bear market rally") or the first potential sign of a market bottom. Bears should be cautious and consider taking profits.
How the Strategy Functions
The strategy uses these four states as its foundation for making trading decisions. The entry and exit arrows (Long, Short, Close) are generated based on a set of rules that can be customized by the user. For instance, a trader can configure the strategy to
Only take long trades during the Green State.
Require a confirmed volatility breakout (diff > 0) before entering a trade.
Use the "RSI on Diff" indicator to ensure that the breakout is supported by accelerating momentum.
Summary
In essence, the Penguin Volatility State Strategy provides a powerful "dashboard" for viewing the market. It moves beyond simple indicators to offer a contextual understanding of price action. By waiting for the alignment of Trend (the State), Volatility (the Breakout), and Momentum (the Acceleration), it helps traders to identify higher-probability setups and, just as importantly, to know when it is better to stay out of the market.
License / disclaimer
© waranyu.trkm — MIT License. Educational use only; not financial advice.
fcsm new AOA clean, rules-based signal tool that combines Bollinger Bands breakouts with a multi-timeframe Awesome Oscillator (AO) filter.
Designed for entries on a lower timeframe (e.g., M15) while confirming trend bias from higher timeframes
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.
ValdesTradingBot BB %B / BBW (Long & Short)ValdesTradingBot BB %B / BBW (Long & Short)
Overview
ValdesTradingBot BB %B / BBW (Long & Short) is a volatility and trend-based strategy that uses Bollinger Bands (%B and Band Width) to detect potential re-entry signals in both directions. It is designed for cryptocurrency trading but can be applied to other markets as well.
The strategy combines entry signals from band re-entries with optional filters for trend direction (EMA) and volatility (BBW). Once in a trade, it manages positions using multiple take-profit levels, trailing exits, and a configurable breakeven system.
How it works
Entry conditions (high-level):
Long signals: Price re-enters from below the Bollinger Band or %B crosses upward.
Short signals: Price re-enters from above the Bollinger Band or %B crosses downward.
Filters:
EMA filter: Optional, only takes longs above the EMA and shorts below.
BBW filter: Optional, requires a minimum band width and can require expansion.
Risk management & exits:
Stop Loss: ATR-based initial stop.
Breakeven: Optional; moves stop to entry once price has moved X% in favor (user-defined).
Take Profits: Up to 4 fixed TP levels, each with configurable percentages of the position size.
Trailing Stops: 2 trailing slices that lock in gains as price extends.
Inputs & settings
Bollinger Band Length & Multiplier – defines bands.
EMA Trend Filter – on/off + EMA length.
BBW Filter – on/off, min width, require rising.
ATR Length & Multiplier – defines initial stop distance.
TP1–TP4 % & Allocation – user can set levels and how much to close at each.
TP5–TP6 Trailing % & Allocation – trailing stops and allocations.
Breakeven Trigger % – percent move required to shift stop to entry.
Cooldown bars – blocks instant re-entries after closing a trade.
Recommended usage
Best timeframe: 30-minute chart.
Markets: Crypto pairs (BTC, ETH, majors); adaptable to Forex or stocks.
Starting settings:
EMA filter ON with EMA 200.
BB Multiplier: 1.9–2.2.
ATR Stop x: 5–8.
Breakeven Trigger: 1–2%.
BBW filter OFF (enable if too many signals).
Alerts & automation
The script includes alert conditions for:
Enter Long
Enter Short
All Exited / Flat
Alerts are provided with JSON payloads so they can be used in automation platforms (e.g., via webhooks). Configure on “Any alert() function call” or per-condition basis.
Notes & disclaimer
This is a strategy for research and educational purposes only.
Results vary by market, timeframe, and settings — always forward-test before live trading.
This does not guarantee profits and is not financial advice.
Past performance is not indicative of future results.
Penguin TrendMeasures the volatility regime by comparing the upper Bollinger Band to the upper Keltner Channel and colors bars with a lightweight trend state. Supports SMA/EMA/WMA/RMA/HMA/VWMA/VWAP and a selectable calculation timeframe. Default settings preserve the original look and behavior.
Penguin Trend visualizes expansion vs. compression in price action by comparing two classic volatility envelopes. It computes:
Diff% = (UpperBB − UpperKC) / UpperKC × 100
* Diff > 0: Bollinger Bands are wider than Keltner Channels -> expansion / momentum regime.
* Diff < 0: BB narrower than KC -> compression / squeeze regime.
A white “Average Difference” line smooths Diff% (default: SMA(5)) to help spot regime shifts.
Trend coloring (kept from original):
Bars are colored only when Diff > 0 to emphasize expansion phases. A lightweight trend engine defines four states using a fast/slow MA bias and a short “thrust” MA applied to ohlc4:
* Green: Bullish bias and thrust > fast MA (healthy upside thrust).
* Red: Bearish bias and thrust < fast MA (healthy downside thrust).
* Yellow: Bullish bias but thrust ≤ fast MA (pullback/weakness).
* Blue: Bearish bias but thrust ≥ fast MA (bear rally/short squeeze).
Note: By default, Blue renders as Yellow to preserve the original visual style. Enable “Use true BLUE color” if you prefer Aqua for Blue.
How it works (under the hood):
* Bollinger Bands (BB): Basis = selected MA of src (default SMA(20)). Width = StdDev × Mult (default 2.0).
* Keltner Channels (KC): Basis = selected MA of src (default SMA(20)). Width = ATR(kcATR) × Mult (defaults 20 and 2.0).
* Diff%: Safe division guards against division-by-zero.
* MA engine: You can choose SMA / EMA / WMA / RMA / HMA / VWMA / VWAP for BB/KC bases, Diff smoothing, and the trend components (VWAP is session-anchored).
* Calculation timeframe: Set “Calculation timeframe” to compute all internals on a chosen TF via request.security() while viewing any chart TF.
Inputs (key ones):
* Calculation timeframe: Empty = use chart TF; if set (e.g., 60), all internals compute on that TF.
* BB: Length, StdDev Mult, MA Type.
* KC: Basis Length, ATR Length, Multiplier, MA Type.
* Smoothing: Average Length & MA Type for the “Average Difference” line.
* Trend Engine: Fast/Slow lengths & MA type; Signal (kept for completeness); Thrust length & MA type (defaults replicate original behavior).
* Display: Paint bars only when Diff > 0; optional Zero line; optional true Blue color.
How to use:
1. Regime changes: Watch Diff% or Average Diff crossing 0. Above zero favors momentum/continuation setups; below zero suggests compression and potential breakout conditions.
2. State confirmation: Use bar colors to qualify expansion: Green/Red indicate expansion aligned with trend thrust; Yellow/Blue flag weaker/contrarian thrust during expansion.
3. Multi-timeframe analysis: Run calculations on a higher TF (e.g., H1/H4) while trading a lower TF chart to smooth noise.
Alerts:
* Diff crosses above/below 0.
* Average Diff crosses above/below 0.
* State changes: GREEN / RED / YELLOW / BLUE.
Notes & limitations:
* VWAP is session-anchored and best on intraday data. If not applicable on the selected calculation TF, the script automatically falls back to EMA.
* Default parameters (SMA(20) for BB/KC, multipliers 2.0, SMA(5) smoothing, trend logic and bar painting) preserve the original appearance.
Release notes:
v6.0 — Rewritten in Pine v6 with structured inputs and guards. Multi-MA support (SMA/EMA/WMA/RMA/HMA/VWMA/VWAP). Calculation timeframe via request.security() for multi-TF workflows. Safe division; optional zero line; optional true Blue color. Original visuals and behavior preserved by default.
License / disclaimer:
© waranyu.trkm — MIT License. Educational use only; not financial advice.
signal heads-up_Bollinger
signal heads-up_Bollinger
Overview
signal heads-up & slow-trail combines Bollinger-based entries, a predictive Heads-Up (ETA) timer, multi-level TP1–TP5 zones, and a Slow-Trail stop engine that advances gradually to protect profits. It includes compact R/R HUD output and Text/JSON alerts for entries, TP/SL hits, and predictive events.
How it Works
1) Entry Logic (Bollinger)
Modes:
Revert Cross: fade back inside the bands (mean-reversion).
Cross Threshold: momentum/breakout style.
Gating & Safety:
Optional bar-close confirmation to reduce intrabar noise.
Trade Direction gating (Long/Short only).
Per-side cooldown (min bars between entries).
Optional filters (see below).
2) Quality Filters (optional)
HTF Trend Filter: EMA slope from a higher timeframe to favor trades aligned with trend.
BB Width Filter: Require Bollinger Band width (% of price) to lie within a min–max range, avoiding dead zones or extreme noise.
3) Heads-Up (ETA Prediction)
Estimates minutes to the next event by converting price velocity to per-minute terms and projecting distance to a target:
Outside Revert (entry): time to revert from outside band toward re-entry.
Nearest Band Touch: time to touch the closest band.
Basis Cross: time to cross the SMA basis.
Spike Heads-Up: detects when band width is compressed and starting to expand with directional tilt, projecting ETA to a “breakout-ready” width.
Heads-Up is predictive, not a guarantee; it updates each bar as volatility and velocity change.
4) TP Zones (TP1–TP5)
On a new signal, the script draws a ladder of up to 5 horizontal TP levels projected from the signal bar.
Zones can expire after N bars (optional).
The HUD shows R/R to TP1–TP5 for the currently active side.
5) Slow-Trail Stop (the signature)
A “glide, don’t jerk” trailing engine that advances the stop in fractions toward a dynamic target:
Move to BE on TP1: once TP1 is touched, the engine flags BE and eases the stop toward entry (no snap).
Follow TP for SL: after higher TPs hit (e.g., TP3), the stop trails to the previous TP (TP2).
Optional Chandelier Trail: blended into the target.
Pacing & Progress:
Move by fraction (slMoveFraction, e.g., 0.33).
Respect min bars between moves and a hold after moving.
Require ATR-based progress (slMinATRProgress) so the stop only advances when price meaningfully moves.
6) Alerts & HUD
Manual alerts: alertcondition() for BUY/SELL entries.
Auto alerts: alert() for Entry / TP / SL / Heads-Up / Spike with cooldown and optional one-TP-per-bar.
Formats: Text (mobile-friendly) or JSON (for bots/webhooks); optional ZoneID tagging.
HUD: compact table showing symbol/TF, last Entry & SL, R/R to TP1–TP5, alert mode, MaxHit per side, and color-coded HU/Spike lines (NOW / ~Xm).
Key Inputs (high level)
Strategy: Trade Direction, Entry Strategy.
Bollinger: Length, Multiplier.
Filters: HTF EMA slope (TF & length), BB width min/max %.
Stops: Mode (ATR× / Percent / Points), ATR length/mult, Slow-Trail pacing (fraction, min bars, ATR progress, hold), Move to BE on TP1, Follow TP for SL, optional Chandelier.
TP Zones: size multiplier, colors, label side/offset, expiry.
Heads-Up: lookahead minutes, velocity length, HU mode, compression threshold, slope length, directional tilt, NOW/SOON thresholds.
Alerts: manual/auto, JSON vs Text, cooldown, strict-touch, min bars between entries, ZoneID.
How to Use (step-by-step)
Attach & Name
Add the script and keep your preferred signal … title. The short name appears on the chart.
Pick Entry Style
Revert Cross for mean-reversion around bands.
Cross Threshold for momentum continuation.
Choose Risk Basis
Use ATR 14 × 1.5–2.0 as a sensible SL baseline. Enable Move SL→BE on TP1 and Follow TP for progressive protection. Keep slMoveFraction ≈ 0.3 to glide.
Tune Heads-Up
Start with Lookahead = 10 min, Velocity length = 14.
Mode Nearest Band Touch is a solid general default.
Keep Spike Heads-Up on to catch compress-then-expand phases.
Enable Filters (optional)
HTF EMA slope when you want trend alignment (e.g., HTF=60, EMA=50).
BB width filter to skip dead sessions or hyper-chop.
Set TP Ladder
Keep the default zone size multiplier; adjust if your instrument’s range is larger/smaller.
Use zone expiry to avoid stale ladders.
Create Alerts (TradingView)
Choose “Any alert() function call” and Once Per Bar Close if you use close-confirmation.
Pick JSON if you integrate with bots/webhooks; otherwise Text is phone-friendly.
Use cooldown and one-TP-per-bar to reduce noise.
Operate
Watch the HUD: HU line shows BUY/SELL NOW / ~Xm; Spike line hints imminent expansion.
When a signal triggers, TP1–TP5 draw and the Slow-Trail begins pacing the stop forward as price progresses.
ORB Dashboard for the TFLX Strategy# ORB Range/ATR Dashboard - Technical Indicator Description
## Main Function
This indicator analyzes Opening Range Breakout (ORB) patterns by calculating a defined time period and its relation to historical volatility. The indicator combines multiple technical analysis methods and presents results in a configurable dashboard format.
**Purpose:** This indicator automates the manual calculation steps of the TFLX analysis methodology, providing real-time computation of volatility ratios, trend filters, and risk management parameters that would otherwise require manual calculation and monitoring.
## Requirements and Limitations
**Additional Indicator Required:** This dashboard indicator works in conjunction with a separate ORB range visualization indicator that displays the actual high/low range levels on the chart. The dashboard provides analysis and calculations, while the range indicator provides visual reference points.
**Important Notice:** This indicator serves as an analytical tool and calculation assistant for the TFLX methodology. It does not execute trades automatically but provides data analysis to support manual decision-making processes.
## TFLX Analysis Methodology Framework
### Core Analysis Rules (Discretionary Implementation)
**Primary Conditions:**
- Market position relative to neutral zones (BB analysis)
- Volatility range between 15-60% of ATR(3)
- News event screening (high-impact economic releases)
- Market session timing constraints (before calculated session end)
- US Bank Holiday considerations
**Exception Conditions:**
- High-impact news with rebreak patterns
- Reversal patterns during neutral market conditions
### Technical Specifications of the Methodology
**Range Definition:**
- Time Period: First 15 minutes after market open
- Measurement: High-Low range calculation
- Breakout Trigger: 5-minute close outside established range
**Volatility Analysis:**
- Formula: (Range Points / ATR(3) Previous Day) × 100
- Threshold Ranges:
- <15%: Below minimum threshold
- 15-20%: Low volatility range
- 25-30%: Moderate volatility range
- 30-40%: Good volatility range
- 40-50%: High volatility range
- 50-60%: Very high volatility range
- >60%: Above maximum threshold
**News Event Categories:**
- Major Events: NFP, CPI, PPI, FOMC releases
- Minor Events: All significant economic releases during market hours
- Impact Assessment: Market reaction analysis framework
**Trend Analysis Framework (1H Bollinger Bands):**
- Base Calculation: EMA(200) with standard deviation bands
- Reference Points: Market Open, ORB Close, Trigger Bar
- Decision Logic: 2 out of 3 reference points determine bias
- Zone Classifications:
- Within 0.5 multiplier: Neutral zone
- Within 1.5 multiplier: Directional bias zone
- Outside 1.5 multiplier: Strong directional zone
**Timing Constraints:**
- Session Window: Market open to calculated session end (typically 4.5 hours)
- Retracement Analysis: Maximum adverse movement before breakeven or stop loss
**Manual Calculation Process (Automated by Indicator):**
1. Measure range in points using chart measurement tools
2. Switch to daily timeframe
3. Set ATR period to 3
4. Extract previous day's ATR value
5. Calculate: (Range Points ÷ ATR Value) × 100
6. Apply percentage thresholds for analysis
## Core Components and Calculation Methods
### 1. Opening Range Calculation
**Data Source:** High/Low/Close prices of current timeframe
**Calculation:**
- Defines a configurable time period (default: 15 minutes)
- Collects during this period: `range_high = max(high)` and `range_low = min(low)`
- Calculates Range Size: `range_size = range_high - range_low`
- Stores the last close price of the period: `final_orb_close`
### 2. ATR (Average True Range) Integration
**Data Source:** Daily True Range values
**Calculation:**
```
daily_atr = ta.atr(length) // Default 3 periods
atr_yesterday = daily_atr // Previous trading day
```
**Available Methods:** RMA (default), SMA, EMA, WMA
### 3. Volatility Ratio Calculation
**Formula:**
```
ratio = (range_size / atr_yesterday) * 100
```
**Purpose:** Normalization of current range against historical volatility
**Configurable Parameters:** Min/Max thresholds (default: 15-60%)
### 4. Bollinger Bands Integration (1H Timeframe)
**Data Source:** 1-hour chart data via `request.security()`
**Calculation:**
```
bb_ema = ta.ema(close, 200) // 1H timeframe
bb_std = ta.stdev(close, 200) // 1H timeframe
bb_upper = bb_ema + (bb_std * multiplier)
bb_lower = bb_ema - (bb_std * multiplier)
```
**Configurable Multipliers:**
- Neutral Zone: 0.5x standard deviation
- Strong Zone: 1.5x standard deviation
### 5. Trend Filter System (2/3 Method)
**Components:**
1. **NY Open Signal:** Compares 1H open price with BB levels
2. **ORB Close Signal:** Compares final ORB close with BB levels
3. **Trigger Signal:** Compares breakout price with BB levels
**Logic:**
```
if (bullish_signals >= 2) → "BULLISH"
if (bearish_signals >= 2) → "BEARISH"
else → "MIXED" or "NO TREND"
```
## Component Interaction
### Trade Signal Generation
**Algorithm:**
```
trade_allowed = (orb_ratio >= min_threshold AND orb_ratio <= max_threshold)
AND (bb_signal != "NEUTRAL")
AND (trend_filter_result contains "BULLISH" OR "BEARISH")
```
### Risk Management Calculation
**Entry Points:**
- Long Entry: `range_high`
- Short Entry: `range_low`
**Stop Loss Calculation:**
```
sl_level = range_low + (range_size * sl_position_percent / 100)
```
**Take Profit Calculation:**
```
tp_distance = range_size * tp_factor_percent / 100
long_tp = long_entry + tp_distance
short_tp = short_entry - tp_distance
```
**Position Sizing (CFD-optimized):**
```
risk_per_contract = avg_risk_points * contract_value * lot_size
max_contracts = max_risk_amount / risk_per_contract
```
**Margin Calculation (CFDs):**
```
position_value = total_units * entry_price
margin_required = position_value / leverage
```
## Dashboard Elements
### 1. Volatility Filter Section
- **ORB Range:** Current range in points
- **ATR Previous:** Yesterday's ATR values
- **ORB Ratio:** Calculated ratio with color coding
### 2. Trend Filter Section
- **NY Open vs BB:** Position of 1H open relative to BB
- **ORB Close vs BB:** Position of ORB close relative to BB
- **Trigger Bar vs BB:** Position of breakout price relative to BB
- **Trend Result:** Summary of 2/3 filter
### 3. Risk Management Section (optional)
- **R/R Ratio:** Calculated from TP/SL distances
- **Risk per Lot:** Based on instrument type
- **Max Lot Packages:** Automatic position sizing calculation
- **Margin Required:** For CFD instruments
### 4. Journal Section (optional)
- **Breakout Timing:** Categorization by bars (1-3, 4-6, 7-9, 10-12, 13+)
- **Direction Tracking:** Bullish/Bearish breakout direction
- **Position Analysis:** Distance of breakout to ORB range
## Automatic Instrument Detection
**CFD/Index Treatment:**
```
if (syminfo.type == "cfd" OR syminfo.type == "index")
contract_value = 1.0 * cfd_lot_size
```
**Forex Treatment:**
```
if (syminfo.type == "forex")
contract_value = syminfo.pointvalue * cfd_lot_size
```
**Futures/Stocks:**
```
contract_value = syminfo.pointvalue
```
## Timezone Handling
- All time calculations based on configurable timezone
- Session End Time: ORB Start + 4.5 hours
- Automatic overflow handling for 24h format
## Alert System
**ORB Formation Alert:**
- Triggered upon completion of ORB period
- Includes: Range size, high/low values
**Breakout Alert:**
- Triggered on close price outside ORB range
- Includes: Direction, trade status based on filters
## Configuration Options
- **ORB Period:** Start/end time in hours/minutes
- **ATR Parameters:** Period and calculation method
- **Volatility Thresholds:** Min/max percentage limits
- **BB Parameters:** Period and multipliers
- **Risk Management:** Risk amount, SL/TP positions
- **Dashboard Layout:** Position, size, colors, visibility
## Data Integrity
- State variables with `var` declaration for persistence
- Daily reset of all relevant variables
- Lookahead bias prevention through `barmerge.lookahead_off`
- Multi-timeframe safety through `request.security()` functions
This technical implementation provides a comprehensive analysis framework for Opening Range Breakout patterns with integrated volatility, trend, and risk management components.
Elite indicatorElite Indicator – AI-Driven Signals for Profitable Trading in Stocks, Forex, and Crypto !
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Disclaimer: Trading involves inherent risks. Use this indicator as part of a broader risk management strategy and never invest more than you can afford to lose.
Gemini All-in-OneDescription
The Gemini AIO (All-in-One) is a comprehensive overlay indicator designed for swing and position traders. It merges three distinct and powerful trading strategies into a single, cohesive tool to identify high-probability setups in stocks that are in confirmed uptrends.
What the Indicator Does:
Combines Three Strategies: Integrates a multi-scanner breakout system, a mean-reversion model, and a multi-year breakout tool into one indicator.
Main Modules
Signals Module:
1. Features six unique scanner signals (CS1-CS6) to identify a variety of bullish consolidation patterns.
2. Includes a full trade management framework with RVC (Red Volume Candle), PBP (Post Breakout Pivot Entry), and ISL (Initial Stop Loss) levels.
3. Identifies powerful Episodic Pivot (EP) and EP Entry (EPE) signals for stocks showing exceptional strength.
Reversal Module:
1. A mean-reversion strategy that primarily uses Bollinger Bands to find oversold conditions.
2. Provides a three-stage signal process: RA (Reversal Setup), Entry 1, and Entry 2 to time entries from a potential bottom.
Multi-Year Breakout (MYBO) Module:
1. Automatically identifies and plots historical, multi-year resistance and support levels.
2. Generates a clear signal when the price breaks out above these significant long-term levels.
Advanced Alerts: Features a highly customizable alert system that can be timed to trigger either on the bar's close or at a specific time of day (e.g., 2:30 PM IST), allowing for end-of-day style notifications.
How to Best Use It:
This indicator is most powerful when used with a systematic, rules-based approach. The core principle is to use long-term moving averages to define the trend and then use the indicator's signals to time entries within that trend.
The Foundation (Trend Filter): The most important rule is to only consider long setups on stocks where the 150-day SMA is above the 200-day EMA, and the 150-day SMA is sloping upwards. This keeps you aligned with the primary uptrend.
Strategy 1: The Momentum Breakout (PBP Entry)
1. Confirm the stock meets the primary trend filter rules.
2. Wait for an AIO setup signal (Super, Pls Buy, etc.) to draw a PBP line.
3. Enter when the price crosses above the PBP line or wait for a pull back after the price has crossed the PBP line.
Strategy 2: The Mean Reversion (RA Entry)
1. Confirm the stock meets the primary trend filter rules.
2. Wait for an "RA" (Reversal Setup) signal to appear on the chart.
3. Enter on the "ENTRY 1" (Risky Entry) or "ENTRY 2" signal (Safer Entry) or wait for a pull back after "ENTRY 1" or "ENTRY 2" signal.
Strategy 3: Multi-Year Breakout (MYBO) :
1. A breakout triangle (orange or fuchsia) appears below the candle, signaling a close above the "Recent High" (Orange) or "Older High" (Fuchsia).
2. Recent High refers to the highest price the stock has reached in last 12 months. Breaking above the "Recent High" is a sign of strong current demand.
3. Older High refers to the highest price the stock reached in a more distant, historical period - the period between 5 years ago and 1 year ago. Breaking above the "Older High" is a sign of VERY strong demand as it has broken a historic high.
4. Wait for a breakout triangle to appear on the chart.
5. Enter on the high of the candle marked with a breakout triangle or wait for a pull back after that signal.
Customize Your View: Use the "Inputs" tab to enable/disable the modules you want to focus on and configure the alerts you want to receive. Use the "Style" tab to hide any visual elements you don't need to keep your chart clean.
All-in-One EMA & BBThis script combines Bollinger Bands and multiple EMAs into one powerful tool. It includes:
1) Bollinger Bands with customizable MA type and colors.
2) EMA 21 on Daily and Weekly timeframes.
3) EMA 21, 50, 100, 200 on current chart timeframe.
4) Toggle options for each indicator for a clean, flexible view.
Ideal for traders seeking multi-timeframe trend analysis and volatility insights.
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.
Wolf long or short this indicator is based on RSI, Stoch, BB , this indicator is giving a better understanding of short or long combined with 3 indicator
Tony O's Euler BandsTony O’s Euler Bands is a volatility-based overlay that uses the mathematical constant e (~2.71828) to scale price bands in a non-linear way. Unlike traditional Bollinger Bands or Keltner Channels, these bands are spaced by exponential functions of volatility (σ), creating zones that expand and contract more dynamically across different market regimes.
How it works:
A configurable moving average (EMA/SMA/RMA/WMA) is used as the basis.
Volatility (σ) is calculated as the standard deviation of returns over a user-defined lookback.
Four band levels are plotted above and below the basis at distances equal to:
basis × 𝑒^(𝑚⋅𝜎⋅𝑘)
where m is a user multiplier and k = {2, 4, 6, 8} for each successive band.
This produces inner bands that highlight mild deviations and outer bands that signal extreme moves.
What makes it unique:
Uses e as the base for band expansion instead of linear multiples or Fibonacci ratios.
Bands scale multiplicatively, making them more consistent across assets and price scales.
Multiple symmetric bands per side, color-coded from green (mild) to purple (extreme) for intuitive visual cues.
Optional transparent fill to show volatility envelopes without obscuring price action.
How to use:
Trend monitoring: Sustained closes beyond an inner band can indicate momentum; closes beyond outer bands can signal overextension.
Reversion spotting: Touches on extreme bands (level 4) can highlight potential exhaustion points.
Works on any asset/timeframe; adjust basis length, volatility lookback, and multiplier to suit your market.
ALMA & UT Bot Confluence StrategyALMA & UT Bot Confluence Strategy
This is a comprehensive trend-following and momentum strategy designed to identify high-probability trade setups by combining multiple layers of confirmation. It is built around an ALMA (Arnaud Legoux Moving Average) and a long-term EMA, and then enhances signal quality with the popular UT Bot indicator, a Volume Filter, and an adaptive hold mechanism.
The primary goal of this strategy is to filter out market noise, avoid low liquidity traps, and provide more robust and selective trading logic by adapting its timing to changing market volatility.
Key Features and How It Works
This strategy is not a simple crossover system. An entry signal is generated by the confluence of only a few conditions:
Underlying Trend and Signal Engine:
ALMA (Arnaud Legoux Moving Average): Provides a responsive, low-latency signal line for entries. EMA (Exponential Moving Average): A longer-term EMA acts as a primary trend filter, ensuring trades are executed only in line with the overall market trend.
Confirmation Layer:
UT Bot Confirmation: A trade is considered valid only when the UT Bot indicator provides a relevant buy or sell signal. This acts as a strong secondary confirmation, reducing false entries.
Advanced Filters for Signal Quality:
Volume Filter: This is an important safety mechanism that prevents trades from being executed in low-volume, illiquid markets where price action can be erratic and unreliable.
Momentum Filter (ADX and RSI): The strategy uses the ADX to check for sufficient market momentum and the RSI to ensure it doesn't enter overbought/oversold zones.
Volatility Filter (Bollinger Bands): This helps prevent entries when the price deviates too far from its average, preventing "buying at the top" or "selling at the bottom." Adaptive Timing (Dynamic Cool-Down):
Instead of a fixed waiting period between trades, this strategy uses a dynamic cooling-down period based on the ATR. It automatically waits longer during periods of high volatility (to prevent volatility) and becomes more responsive in calmer markets. How to Use This Strategy:
Long Entry (BUY): When all bullish conditions align, a green "BUY" triangle appears below the price.
Short Entry (SELL): When all bearish conditions align, a red "SELL" triangle appears above the price.
Trend Visualization: The chart background is color-coded according to UT Bot's trend direction (Green for an uptrend, Red for a downtrend), allowing for at-a-glance market analysis.
Double Exit Strategy Options
You have full control over how you exit trades:
Classic SL/TP: Use a standard Stop-Loss and Take-Profit order based on ATR (Average True Range) multipliers. UT Bot Trailing Stop (Recommended): A dynamic exit mechanism that follows the price allows your winning trades to catch up to larger trends while protecting your profits.
Disclaimer
This script is for educational purposes only and should not be construed as financial advice. Past performance is not indicative of future results. All trades involve risk. Before risking any capital, we strongly recommend extensively backtesting this strategy across your preferred assets and timeframes to understand its behavior and find settings that suit your personal trading style.
The author recommends using this strategy with Heikin-Ashi candlesticks. Using this method will significantly increase the strategy's trading success rate and profitability in backtests.
You should change the settings according to your preferred chart time range. You can find the best value for you by observing the value changes you make on the chart.
Multi-Length Quad Bollinger BandsHere is a Pine Script code for TradingView that plots four separate Bollinger Bands on your chart. The lengths are preset to 14, 50, 100, and 200, but every aspect—including lengths, standard deviations, colors, and the source price—is fully customizable through the script's settings menu.
The 14 and 50-period bands are enabled by default, while the 100 and 200-period bands are disabled to keep the chart clean initially. You can easily toggle any of them on or off.
Bollinger Heatmap [Quantitative]Overview
The Bollinger Heatmap is a composite indicator that synthesizes data derived from 30 Bollinger bands distributed over multiple time horizons, offering a high-dimensional characterization of the underlying asset.
Algorithm
The algorithm quantifies the current price’s relative position within each Bollinger band ensemble, generating a normalized position ratio. This ratio is subsequently transformed into a scalar heat value, which is then rendered on a continuous color gradient from red to blue. Red hues correspond to price proximity to or extension below the lower band, while blue hues denote price proximity to or extension above the upper band.
Using default parameters, the indicator maps bands over timeframes increasing in a pattern approximating exponential growth, constrained to multiples of seven days. The lower region encodes relationships with shorter-term bands spanning between 1 and 14 weeks, whereas the upper region portrays interactions with longer-term bands ranging from 15 to 52 weeks.
Conclusion
By integrating Bollinger bands across a diverse array of time horizons, the heatmap indicator aims to mitigate the model risk inherent in selecting a single band length, capturing exposure across a richer parameter space.
Trader's Club IndicatorTrader’s Club Indicator
The Trader’s Club Indicator is an advanced confluence-based tool combining Bollinger Bands , Relative Strength Index (RSI) , VWAP with multi-band overlays , and an intelligent chained divergence detection engine. It identifies potential buy/sell setups by aligning price extremes with momentum shifts and volume-weighted trends. The “E” signal highlights enhanced entry opportunities based on RSI divergence and price candle behaviour — offering a timing edge for informed traders.
TRADING METHOD
This indicator works best on 1-Minute candles. Tested it successfully on XAUUSD.
Buy signal: 'E' in a Blue box.
Sell signal: 'E' in a Red box.
Chained Divergence: White dot on the top or bottom of a candle. This shows possibility of a reversal from that zone.
Use the Buy/Sell signals in conjunction with the VWAP levels. If the Buy/Sell Signals form at VWAP and a key support/resistance level, that is an additional confluence.
Disclaimer
This indicator is for informational and educational purposes only. Trading involves risk, and you are solely responsible for your decisions. Do not rely solely on the buy/sell ‘E’ signals — it’s crucial to use additional confirmation, context, and personal judgment before placing trades. Always practice proper risk management and consider combining this indicator with broader technical or fundamental confluences.
