kiwi 지표 통합 v6 MAX많이 사용하는 지표들을 하나의 지표로 만들었습니다.
주로 이동평균선을 기준으로 매매에 유용한 지표를 모았고
볼랜저밴드, 일목군형표를 하나의 지표로 만들었습니다.
특히, 캔들색이 한국 스타일을 원하는 사람에게 적합니다.
(빨간색 = 상승, 파란색 = 하락)
We made the most used indicators one indicator.
We collected indicators that are useful for trading mainly based on the moving average
The bolanger band and the Ilmok group table were made one indicator.
In particular, the candle color is written for those who want the Korean style.
(Red = Up, Blue = Down)
Ketidakstabilan
kiwi 지표 통합 v6 MAX많이 사용하는 지료들을 하나의 지표로 만들었습니다.
주로 이동평균선을 기준으로 매매에 유용한 지표를 모았고
볼랜저밴드, 일목군형표를 하나의 지표로 만들었습니다.
특히, 캔들색이 한국 스타일을 원하는 사람에게 적합니다.
(빨간색 = 상승, 파란색 = 하락)
I made a lot of used materials as an indicator.
We collected indicators that are useful for trading mainly based on the moving average
The bolanger band and the Ilmok group table were made one indicator.
In particular, the candle color is written for those who want the Korean style.
(Red = Up, Blue = Down)
HMM Trend Strength Meter (3-State)Strong Up-Trend: p_up > 0.6–0.7 → look for BUY setups
Strong Down-Trend: p_dn > 0.6–0.7 → look for SELL setups
Range/Sideways: p_side > 0.6 → consider mean-reversion entries
Adjust your own threshold (e.g. 0.7–0.8) to control signal frequency.
Delta Weighted Average Price (DWAP) @MaxMaserati 2.0MMM DWAP (Delta Weighted Average Price) - Trading Indicator Guide
Overview
The MMM DWAP (Delta Weighted Average Price) indicator analyzes volume-price relationships by incorporating buying and selling pressure (delta) to identify key support and resistance levels. This tool provides multi-timeframe analysis with momentum assessment and breakout detection capabilities.
Core Methodology
MMM DWAP calculates weighted average prices based on delta (buying vs selling pressure) rather than volume alone. This approach reveals where directional money flow creates sustainable support and resistance levels, providing traders with enhanced market analysis.
Key Innovation: Fair Value Magnetism
The market facilitates fair exchange between buyers and sellers. The indicator identifies dynamic fair value zones through delta-weighted cloud bands. Price tends to return to these levels, creating high-probability reaction points for trading decisions.
Technical Comparison
vs VWAP
- VWAP: Volume-weighted calculation showing where volume occurred
- MMM DWAP: Delta-weighted analysis revealing directional money flow with multi-timeframe integration
vs Moving Averages
- Moving Averages: Price-only calculation with inherent lag
- MMM DWAP: Real-time delta analysis providing delta-defended levels with market context
vs Bollinger Bands
- Bollinger Bands: Statistical volatility measures for squeeze detection
- MMM DWAP: Breakout prediction with confidence levels based on market pressure analysis
Visual Components
MMM DWAP Line (Orange): Primary fair value level based on delta weighting
Dynamic Cloud Bands: Overbought/oversold zones with fair value magnetism
Support/Resistance Lines: Multi-timeframe key levels with delta directional indicators
Squeeze Detection: Volatility compression alerts with breakout direction prediction
Analysis Table: Real-time consensus direction, momentum strength, and breakout predictions
Fair Value Zone Concept
Orange Line: Absolute Fair Value Price - the natural equilibrium level where price gravitates. Most important support/resistance level.
Price closed below the line
Price closed above the line
Upper Cloud = Bullish Fair Value Area (BuFV):
- When price is above Orange Line, Upper Cloud acts as support
- Price pullbacks to this zone create buying opportunities
- Represents fair value in bullish market conditions
Far Above Upper Cloud = "TOO HIGH" Zone:
- Price is overextended above fair value
- Overbought condition - likely to reverse DOWN to Upper Cloud (BuFV)
- Sell signal area or profit-taking zone for longs
Lower Cloud = Bearish Fair Value Area (BeFV):
- When price is below Orange Line, Lower Cloud acts as resistance
- Price rallies to this zone create selling opportunities
- Represents fair value in bearish market conditions
Far Below Lower Cloud = "TOO LOW" Zone:
- Price is overextended below fair value
- Oversold condition - likely to reverse UP to Lower Cloud (BeFV)
- Buy signal area or profit-taking zone for shorts
Rubber Band Effect:
- Upper Cloud (BuFV): If price stretches TOO FAR UP → snaps back DOWN to fair value area
- Lower Cloud (BeFV): If price stretches TOO FAR DOWN → snaps back UP to fair value area
Support & Resistance Intelligence
Resistance Line Behavior:
Red Arrow Down (R ↓):
- Bearish delta at resistance level
- Sellers are defending this resistance
- Strong selling pressure - price likely to reject downward
- Traditional resistance behavior - SELL zone
Green Arrow Up (R ↑):
- Bullish delta at resistance level
- Buyers are challenging this resistance
- Strong buying pressure pushing through
- Potential breakout signal - BUY zone
Support Line Behavior:
Green Arrow Up (S ↑):
- Bullish delta at support level
- Buyers are defending this support
- Strong buying interest - price likely to bounce up
- Traditional support behavior - BUY zone
Red Arrow Down (S ↓):
- Bearish delta at support level
- Sellers are overwhelming support
- Strong selling pressure breaking through
- Potential breakdown signal - SELL zone
When the arrow is → for the Support and Resistance line, it is a neutral state
4-Phase Breakout Cycle
Phase 1 - Normal Trading: Regular price movement with bands at normal width
Phase 2 - Band Tightening (SQUEEZE): Yellow diamonds appear as bands compress. Breakout direction prediction activates - early warning before the move.
Phase 3 - Balloon Formation: Bands expand outward, forming balloon shape around price. Preparation phase - volatility releasing but price still contained.
Phase 4 - Explosive Breakout: Price breaks decisively through expanded bands with volume surge and directional momentum. Execution phase.
Strategy Sequence:
- Tightening Phase = PREDICT (Get direction forecast)
- Balloon Phase = PREPARE (Confirm setup and position size)
- Breakout Phase = EXECUTE (Enter trade in predicted direction)
Trading Applications
Retest Strategy:
1. Identify trend bias through MMM DWAP line position
2. Monitor for breakouts above/below Orange Line
3. Wait for pullback to appropriate Fair Value zone (BuFV or BeFV)
4. Execute trades on reaction at fair value levels
High-Probability Setups:
- Bullish Breakout: Bullish consensus + Strong momentum + Resistance with strong buying delta
- Bearish Rejection: Bearish consensus + Strong momentum + Resistance with strong selling delta
- Support Bounce: Bullish consensus + Support with strong buying delta
Analysis Table Guide
Consensus Row: Overall market sentiment based on volume-weighted buying/selling pressure
- BULLISH: Look for long opportunities
- BEARISH: Look for short opportunities
Momentum Row: Current strength compared to recent average
- STRONG: High conviction moves - ride momentum
- WEAK: Low conviction moves - wait for better setups
Price Level Rows (R1, R2, S1, S2): Delta pressure at each level
- High positive delta = Buyers dominated (potential breakout level)
- High negative delta = Sellers dominated (potential rejection level)
Risk Management
- Stop Levels: Orange Line breaks or opposite band extremes
- Profit Targets: Opposite fair value zones
- Position Sizing: Based on momentum strength indicators
Technical Notes
- Delta Calculation: Bullish volume minus bearish volume for directional pressure
- Timeframe Independence: MMM DWAP and S/R levels can utilize different timeframes
- Squeeze Algorithm: Adaptive band width analysis for volatility compression
- Consensus Logic: Aggregate delta analysis across multiple price levels
- Fair Value Zones: Dynamic BuFV/BeFV adaptation based on Orange Line position
Note: This indicator combines volume-price analysis with order flow concepts. Effectiveness depends on market liquidity and proper application of fair value principles. Most effective setups occur when consensus direction, momentum strength, squeeze detection, and favorable delta history align.
Daily Status + ATR + MAAfter years of studying, analyzing markets, and thousands of hours of trial and error – I'm proud to present my new indicator for smarter and more precise trading!
🔍 What's inside?
✔️ Real-time daily status (percentage and monetary change)
✔️ ATR indicator to measure volatility
✔️ 150-period Moving Average for trend analysis
✔️ Smart signal system based on ATR + MA:
▪️ Strong / Weak Buy
▪️ Strong / Weak Sell
▪️ “No-Touch” zone detection
✔️ Clean and clear visual display directly on the chart, including company name, ticker, market cap, and timeframe (1D, 1W, etc.)
✔️ Built-in alerts to notify you when a strong buy signal is triggered – so you never miss an opportunity
🧠 Designed to provide quick and intelligent decisions at a glance, filtering out noise and focusing only on what matters.
💡 Suitable for both beginners and advanced traders – whether you're tracking stocks, crypto, or indices.
📈 Result: A chart that speaks your language – simple, focused, and powerful.
VWAP MultiCombined IntradayIncluded all VWAP in One for intraday purpose.
User will get S W M Q Y Decade Century Vwap at Single Combined.
This will helps to find levels who uses vwap on routine basis.
Nexalgo Volatility Plus🔧 Volatility Plus – Invite-Only Indicator
The Volatility Plus indicator combines ATR-based volatility metrics with trend strength measurements. It is designed to visualize market conditions related to volatility and trend dynamics.
🧠 Key Components:
ATR Calculation
Displays Average True Range to measure historical price volatility over a defined period.
Includes multiple smoothing options: RMA, SMA, EMA, WMA.
Trend Strength Analysis
Calculates trend momentum using a moving average.
Expresses directional bias and intensity as a percentage.
Volatility Visualization
Color-coded system for current volatility:
Green = low, Yellow = moderate, Red = high.
Dashboard Display
Positioned in the lower-right of the chart.
Shows real-time values for: ATR, ATR %, volatility class, and trend strength.
Uses a neutral background for readability.
⚙️ Customization:
ATR length, moving average type, and calculation period are adjustable.
Adaptable to multiple market styles and timeframes.
📝 Example Applications:
Monitoring volatility levels to observe changing market conditions
Comparing trend strength across timeframes
Supporting technical analysis frameworks with contextual metrics
⚠️ Disclaimer:
This indicator is a technical tool intended for analysis only. It does not provide financial advice, nor does it guarantee performance. Traders are responsible for their own decisions and risk management.
Combined Predictive Indicator### Combined Predictive Zones & Levels
This indicator is a powerful hybrid tool designed to provide a comprehensive map of potential future price action. It merges two distinct predictive models into a single, cohesive view, helping traders identify key levels of support, resistance, and areas of high confluence.
#### How It Works: Two Models in One
This script is built on two core components that you can use together or analyze separately:
**Part 1: Classic Range & Fibonacci Prediction**
This model uses classic technical analysis principles to project a potential range for the upcoming price action.
* **Highest High / Lowest Low:** It identifies the significant trading range over a user-defined lookback period.
* **Fibonacci Levels:** It automatically plots key Fibonacci retracement levels (e.g., 38.2% and 61.8%) within this range, which often act as critical support or resistance.
* **ATR & Average Range:** It calculates a "predicted" upper and lower boundary based on the average historical range and current volatility (ATR).
**Part 2: Advanced Predictive Ranges (Self-Adjusting Channels)**
This is a dynamic model that creates adaptive support and resistance zones based on a smoothed average price and volatility.
* **Dynamic Average:** It uses a unique moving average that only adjusts when the price moves significantly, creating a stable baseline.
* **ATR-Based Zones:** It projects multiple levels of support (S1, S2) and resistance (R1, R2) around this average, which widen and narrow based on market volatility. These zones often signal areas where price might stall or reverse.
#### Key Features:
* **Hybrid Model for Confluence:** The true power of this indicator lies in finding where the levels from both models overlap. A Fibonacci level aligning with a Predictive Range support zone is a much stronger signal.
* **Comprehensive Data Table:** A clean, on-chart table displays the precise values of all key predictive levels, allowing for quick reference and precise trade planning.
* **Multi-Timeframe (MTF) Capability:** The Advanced Predictive Ranges can be calculated on a higher timeframe, giving you a broader market context.
* **Fully Customizable:** All lengths, multipliers, and levels for both models are fully adjustable in the settings to fit any asset or trading style.
* **Clear Visuals:** All zones and levels are color-coded for intuitive and easy-to-read analysis.
#### How to Use:
1. Look for areas of **confluence** where multiple levels from both models cluster together. These are high-probability zones for price reactions.
2. Use the Predictive Range zones (S1/S2 and R1/R2) as potential targets for trades or as areas to watch for entries and exits.
3. Pay attention to the on-chart table for exact price levels to set limit orders or stop-losses.
**Disclaimer:** This script is an analytical tool for educational purposes and should not be considered financial advice. All trading involves risk. Past performance is not indicative of future results. Always use this indicator as part of a comprehensive trading strategy with proper risk management.
Feedback is welcome! If you find this tool useful, please leave a like.
[LeonidasCrypto]EMA with Volatility GlowEMA Volatility Glow - Advanced Moving Average with Dynamic Volatility Visualization
Overview
The EMA Volatility Glow indicator combines dual exponential moving averages with a sophisticated volatility measurement system, enhanced by dynamic visual effects that respond to real-time market conditions.
Technical Components
Volatility Calculation Engine
BB Volatility Curve: Utilizes Bollinger Band width normalized through RSI smoothing
Multi-stage Noise Filtering: 3-layer exponential smoothing algorithm reduces market noise
Rate of Change Analysis: Dual-timeframe RoC calculation (14/11 periods) processed through weighted moving average
Dynamic Normalization: 100-period lookback for relative volatility assessment
Moving Average System
Primary EMA: Default 55-period exponential moving average with volatility-responsive coloring
Secondary EMA: Default 100-period exponential moving average for trend confirmation
Trend Analysis: Real-time bullish/bearish determination based on EMA crossover dynamics
Visual Enhancement Framework
Gradient Band System: Multi-layer volatility bands using Fibonacci ratios (0.236, 0.382, 0.618)
Dynamic Color Mapping: Five-tier color system reflecting volatility intensity levels
Configurable Glow Effects: Customizable transparency and intensity settings
Trend Fill Visualization: Directional bias indication between moving averages
Key Features
Volatility States:
Ultra-Low: Minimal market movement periods
Low: Reduced volatility environments
Medium: Normal market conditions
High: Increased volatility phases
Extreme: Exceptional market stress periods
Customization Options:
Adjustable EMA periods
Configurable glow intensity (1-10 levels)
Variable transparency controls
Toggleable visual components
Customizable gradient band width
Technical Calculations:
ATR-based gradient bands with noise filtering
ChartPrime-inspired multi-layer fill system
Real-time volatility curve computation
Smooth color gradient transitions
Applications
Trend Identification: Dual EMA system for directional bias assessment
Volatility Analysis: Real-time market stress evaluation
Risk Management: Visual volatility cues for position sizing decisions
Market Timing: Enhanced visual feedback for entry/exit consideration
Daily ATR Stop Loss Buffer- Calculates Daily ATR: Uses the daily timeframe ATR (Average True Range) - a measure of price volatility
- Applies Your Buffer: Takes a percentage of that ATR that you set in the settings (e.g., 5% of daily ATR)
- Creates Stop Levels: Calculates where to place stop losses based on current price plus/minus your ATR buffer
Anti Nyangkut – Indikator Karya Anak Bangsa Anti Nyangkut – Indikator Karya Anak Bangsa
Indikator ini khusus buat kamu yang sering beli di pucuk dan jual di support, lalu akhirnya jadi bahan backtest orang lain.
💡 Sinyal buy only - muncul kalau harga udah:
✅ Di atas MA5
✅ Di atas Bollinger Bands Upper
✅ Di atas VWAP (khusus 1H & 4H)
🟢 TP dan SL otomatis muncul — biar gak cuma "niat hold sampe hijau"
📊 Cocok buat scalping & swing di 1H / 4H / 1D
Gak ada sinyal jual. Exit di tangan masing-nasing, jangan lupa pasang SL.
—
100% gratis. Bayarnya pakai amal jariyah.
—
Anti Nyangkut – An Indicator by the People, for the People
This one's for you if you always buy the top, sell the bottom, and end up becoming someone else's backtest data.
💡 Buy-Only Signals — triggered when price is:
✅ Above MA5
✅ Above Bollinger Bands Upper
✅ Above VWAP (on 1H & 4H only)
🟢 Auto TP & SL lines — so you stop saying "I'll hold until it turns green"
📊 Perfect for scalping & swing trades on 1H / 4H / 1D
There’s no sell signal. Exits are your responsibility — just don’t skip the stop loss.
—
100% free. Just pay with good karma.
Free Master Trend Navigator/ 趋势大师导航仪(免费版) by Mrlazycat趋势大师导航仪简单上手版使用说明
(这是一个简单版的趋势大师导航仪;如果需要趋势大师导航仪Pro版,可联系作者懒猫先生进行授权使用【推特联系:Jeffmo0769】)
(This is a simplified version of the Trend Master Navigator. For the Pro version, please contact Mr. Lazy Cat for authorization )
⚠ 非常重要,使用指标前请认真阅读这个使用说明
这是一个简单版的趋势大师导航仪
指标核心功能 本指标通过分析比特币的成交量、动能指标(MACD)、相对强弱指数(RSI)、趋势强度和成交量比率,生成在-1到1之间波动的趋势大师导航仪,帮助判断买卖时机。指标最佳适用场为4小时(4H)图表,适合1-2周的中短期交易。该趋势大师导航仪适用于BTC,ETH, DOGE等现货成交量大的虚拟货币
趋势曲线解读指南
① 市场状态(曲线颜色)
暗紫色:区间震荡市场
红色曲线:多头趋势
绿色曲线:空头趋势
② 关键信号区域
红色区域(超买):趋势曲线 ≥ 0.6 时,可能出现回调风险
绿色区域(超卖):趋势曲线 ≤ -0.615 时,可能出现反弹机会
③ 锁定机制
对部分强多头趋势(红色)和强空头趋势(绿色)进行锁定:
如果趋势曲线突破红色区域(超买)且市场趋势强度保持在强趋势或较强的弱趋势,趋势曲线会锁定在0.7附近(原始曲线以灰色继续)。
如果趋势曲线跌破绿色区域(超卖)且市场趋势强度保持在强趋势或较强的弱趋势,趋势曲线会锁定在-0.7附近(原始曲线以灰色继续)。 这表示趋势可能继续发展,建议等待锁定期结束后再进行操作。
✅ 极端多头趋势的特殊案例:(如ETH在2025年7月10日到20日,趋势曲线一直维持红色,意味着多头趋势不变。但这段时间ETH的趋势曲线曾跌到超卖区,因此曲线曾在底部锁定3个K线的时间,这意味着是多头右侧追多的机会。)
交易信号
超买超卖信号+趋势判断
红色区域(超买):趋势曲线 ≥ 0.6 时,可能出现回调风险,注意趋势变化
绿色区域(超卖):趋势曲线 ≤ -0.615 时,可能出现反弹机会,注意趋势变化
使用注意事项
① 交易所推荐:同时使用币安(Binance)和OKX的BTC/USDT现货数据(不同交易所的量能差异可能影响信号准确性)。
② 特殊行情优化:已针对2024-2025年比特币ETF上市后的低波动行情调整参数,未来将持续根据市场变化优化。
③ 强趋势操作提示:当趋势曲线锁定在超买或超卖区,应减少逆势操作。
④ 首次使用建议:观察历史行情以验证信号特征,震荡市捕捉反转点,趋势市识别延续信号。
Trend Master Navigator (Simplified Version) User Guide
⚠ Important: Please read this guide carefully before using the indicator
This is a simplified version of the Trend Master Navigator.
Core Functionality This indicator analyzes Bitcoin's trading volume, MACD, RSI, trend strength, and volume ratio to generate the Trend Master Navigator, which oscillates between -1 and 1 to assist in buy/sell decisions. The indicator is best suited for 4-hour (4H) charts and is ideal for 1-2 week swing trading. The Trend Master Navigator is suitable for cryptocurrencies with high spot trading volumes, such as BTC, ETH, and DOGE.
Interpreting the Trend Curve
① Market States (Curve Colors) Dark Purple: Range-bound market Red Curve: Bullish trend Green Curve: Bearish trend
② Key Signal Zones Red Zone (Overbought): Trend curve ≥ 0.6 → Potential pullback risk Green Zone (Oversold): Trend curve ≤ -0.615 → Potential rebound opportunity
③ Locking Mechanism During strong bullish (red) and strong bearish (green) trends, and partial weak trends:
If the trend curve breaks above the red zone (overbought) and the market trend strength remains in a strong trend or robust weak trend, the trend curve will lock near 0.7 (original curve continues in gray).
If the trend curve breaks below the green zone (oversold) and the market trend strength remains in a strong trend or robust weak trend, the trend curve will lock near -0.7 (original curve continues in gray). This indicates that the trend may continue, and it is advisable to wait until the lock period ends before taking action. ✅ Example of extreme bullish trend: (e.g., ETH from July 10 to 20, 2025, where the trend curve remained red, indicating a persistent bullish trend. During this period, ETH's trend curve dipped into the oversold zone, locking the curve at the bottom for 3 K-line periods, signifying a right-side buying opportunity in the bullish trend.)
Trading Signals
Overbought/Oversold Signals + Trend Judgment
Red Zone (Overbought): Trend curve ≥ 0.6 → Potential pullback risk, pay attention to trend changes
Green Zone (Oversold): Trend curve ≤ -0.615 → Potential rebound opportunity, pay attention to trend changes
Usage Notes
① Exchange Recommendation: Use Binance and OKX BTC/USDT spot data simultaneously (volume discrepancies across different exchanges may affect signal accuracy).
② Special Market Optimization: Parameters have been adjusted for the low-volatility era following the Bitcoin ETF launch (2024-2025) and will continue to be optimized based on market changes.
③ Strong Trend Operation Tips: When the trend curve is locked in overbought or oversold zones, reduce counter-trend operations. ④ First Use Recommendation: Observe historical market trends to validate signal characteristics. Capture reversal points in range-bound markets and identify continuation signals in trending markets.
Contact on X: Jeffmo0769
VIX9D to VIX RatioVIX9D to VIX Ratio
The ratio > 1 can signal near-term fear > long-term fear (potential short-term stress).
The ratio < 1 implies long-term implied volatility is higher — more typical in calm markets.
ADR Tracker Version 2Description
The **ADR Tracker** plots a customizable panel on your chart that monitors the Average Daily Range (ADR) and shows how today’s price action compares to that average. It calculates the daily high–low range for each of the past 14 days (can be adjusted) and then takes a simple moving average of those ranges to determine the ADR.
**Features:**
* **Current ADR value:** Shows the 14‑day ADR in price units.
* **ADR status:** Indicates whether today’s range has reached or exceeded the ADR.
* **Ticks remaining:** Calculates how many minimum price ticks remain before the ADR would be met.
* **Real‑time tracking:** Monitors the intraday high and low to update the range continuously.
* **Customizable panel:** Uses TradingView’s table object to display the information. You can set the table’s horizontal and vertical position (top/middle/bottom and left/centre/right) with inputs. The script also lets you change the text and background colours, as well as the width and height of each row. Table cells use explicit width and height percentages, which Pine supports in v6. Each call to `table.cell()` defines the text, colours and dimensions for its cell, so the panel resizes automatically based on your settings.
**Usage:**
Apply the indicator to any chart. For the most accurate real‑time tracking, use it on intraday timeframes (e.g. 5‑min or 1‑hour) so the current day’s range updates as new bars arrive. Adjust the inputs in the settings panel to reposition the list or change its appearance.
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This description explains what the indicator does and highlights its customizable table display, referencing the Pine Script table features used.
Market DashboardMarket Dashboard — All-in-One Technical Indicator Panel
The Market Dashboard is a powerful visual tool that consolidates key technical indicators into a single on-chart table, helping traders make faster and more informed decisions. This script includes:
RSI — Detects overbought and oversold market conditions
MACD — Shows trend momentum and crossover signals
CVD (Cumulative Volume Delta) — Highlights buyer vs. seller pressure
Volume Analysis — Flags unusually high volume
ATR (Average True Range) — Displays current market volatility
Session Detector — Automatically identifies ASIAN, LONDON, or NEW YORK sessions based on UTC time
Fully Customizable — Adjust table position and text size to fit your chart layout
Designed for traders who want a clean, real-time snapshot of market dynamics, directly on the chart.
[FRK] Volatility-Adjusted Mean Reversion 🎯 What It Does :
- Spots when price has moved "too far" from average
- Adjusts for how jumpy/calm the market is right now
- Gives you better signals than simple oscillators
⚙️ Every Setting Explained:
- MA Length (9): How many bars for the "center line"
- Volatility Length (20): How many bars to measure "jumpiness"
- Threshold (0.04): When to actually signal you
- Price Input (Close): Which price to use
- MA Type (SMA): How to calculate the average
- Vol Multiplier (10.0): Just visual scaling
📊 Visual Guide:
- Blue line above red dotted = Price too high, expect drop
- Blue line below green dotted = Price too low, expect bounce
- Background colors = Active signals
- Table = Current stats and history
🧮 Simple Formula:
Signal = (Price - Average) ÷ Average ÷ (Volatility × 10)
When Signal > 0.04 or < -0.04 → Trade signal!
// ⚠️ IMPORTANT TRADING WARNING:
// DO NOT TRADE ON THIS SIGNAL ALONE! This is a confluence tool that helps you:
// • Understand current volatility vs historical levels
// • Get a "feel" for how extended current price moves are
// • Confirm other trading setups with volatility context
// • See when market is unusually calm or wild
[DIP] Inverse BB HighlightThis indicator allows you to highlight the area outside of the Bollinger Bands in order to draw more attention to it. This is especially useful for those who only trade when we are outside of the bands.
Keep in mind this indicator only works on bars, not on candles.
Liquidity Grab Detector (Stop Hunt Sniper) v2.2📌 Purpose
This indicator detects Stop Hunts (Liquidity Grabs) — false breakouts above/below recent highs or lows — filtered by trend direction, volatility, and volume conditions.
It is designed for scalpers and intraday traders who want to identify high-probability reversal zones.
🧠 How It Works
1. Key Logic
Detects previous swing high / swing low over the Lookback Bars.
Marks a false breakout when price moves beyond the level and closes back inside.
Requires a volume spike on the breakout to confirm liquidity sweep.
2. Trend Filter (EMA 50)
Bullish signals only if price is above EMA 50.
Bearish signals only if price is below EMA 50.
This removes most counter-trend stop hunts.
3. ADX Filter
Signals appear only when ADX < Max ADX (low-trend conditions).
This avoids false signals in strong trending markets.
📈 How to Use
Green Arrows: Bullish stop hunt (potential long entry).
Red Arrows: Bearish stop hunt (potential short entry).
Works best in range conditions, liquidity zones, or near session highs/lows.
Combine with order flow, volume profile, or price action for extra confirmation.
Recommended Timeframes: 1m–15m for scalping; 30m–1h for intraday.
Markets: Crypto, Forex, Indices.
⚙️ Inputs
Lookback Bars — swing detection
Volume Spike Multiplier
EMA Length (trend filter)
Min Retrace — how much price must return inside range
Max ADX — trend filter sensitivity
⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice.
Always test thoroughly before live trading.
Open Interest Screener (Fixed Zones)📌 Purpose
This indicator scans Open Interest (OI) changes across selected exchanges and highlights significant spikes or drops directly on the chart using dynamic shaded zones.
It is designed to help traders detect unusual market positioning changes that may precede volatility events.
🧠 How It Works
1. Data Sources
Supports multiple exchanges: BitMEX USD, BitMEX USDT, Kraken USD (toggle on/off in settings).
Automatically adapts symbol prefix based on the chart’s base asset.
2. Spike / Drop Detection
OI % Change is calculated over a configurable lookback (Bars to look back).
Spike Up: OI increases by more than Threshold %.
Spike Down: OI decreases by more than Threshold %.
3. Dynamic Zones
When a spike occurs, a green zone (increase) or red zone (decrease) is drawn on the chart.
Zone height is dynamic, based on price high/low ± 5%, preventing chart distortion.
Minimum spacing (Zone Spacing) prevents clustering.
📈 How to Use
Green Zones: Large OI increase can signal fresh positioning (possible breakout setups).
Red Zones: Large OI decrease can signal liquidation events or position unwinds.
Combine with price action, funding rates, or volatility measures for higher confidence.
Recommended Timeframes: Works best on 15m, 1h, 4h.
Markets: Crypto derivatives (OI data available).
⚙️ Inputs
Bars to Look Back
OI % Change Threshold
Zone Width
Exchange toggles (BitMEX USD/USDT, Kraken USD)
⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice.
Always test thoroughly before live trading.
Volume Scanner (Spikes & Drops) [Context]📌 Purpose
This indicator detects significant volume spikes or drops and optionally filters them by price context (local highs/lows).
It helps identify potential breakout or exhaustion points with improved signal quality compared to raw volume alerts.
🧠 How It Works
1. Volume Spike / Drop Detection
SMA Volume over N bars is calculated as baseline.
Volume Spike: Volume > SMA × Spike Multiplier (default 1.5×).
Volume Drop: Volume < SMA × Drop Multiplier (default 0.5×).
2. Context Filter (optional)
When Use Context = ON:
Bullish Context: Volume spike at/near local price high (last Lookback bars).
Bearish Context: Volume drop at/near local price low (last Lookback bars).
3. Signal Gap
Minimum spacing between signals (Min Gap Bars) prevents excessive clustering.
4. Visuals
Background shading:
Green = Volume Spike in bullish context.
Red = Volume Drop in bearish context.
Alerts can be configured for both conditions.
📈 How to Use
Volume Spikes near highs can indicate breakouts or exhaustion tops.
Volume Drops near lows can signal liquidity dry-up or potential reversals.
Combine with price action or support/resistance for confirmation.
Recommended Timeframes: Works on all timeframes; more reliable on 15m, 1h, 4h.
Markets: Crypto, Forex, Stocks.
⚙️ Inputs
Volume SMA Length
Spike Multiplier / Drop Multiplier
Use Context (High/Low filter)
Min Gap Bars (avoid clustered signals)
⚠️ Disclaimer
This script is for educational purposes only. It does not constitute financial advice.
Always test thoroughly before live trading.
Smart Volatility Squeeze + Trend Filter📌 Purpose
This indicator detects volatility squeeze conditions when Bollinger Bands contract inside Keltner Channels and signals potential breakout opportunities.
It also includes an optional EMA-based trend filter to align signals with the dominant market direction.
🧠 How It Works
1. Squeeze Condition
Bollinger Bands (BB): Length = 20, StdDev = 2.0 (default)
Keltner Channels (KC): EMA Length = 20, ATR Multiplier = 1.5 (default)
Squeeze ON: Occurs when BB Upper < KC Upper and BB Lower > KC Lower (low volatility zone).
2. Breakout Signals
Long Breakout: Price crosses above BB Upper after squeeze.
Short Breakout: Price crosses below BB Lower after squeeze.
3. Trend Filter (optional)
EMA(50) used to confirm breakout direction:
Long signals allowed only if price > EMA(50)
Short signals allowed only if price < EMA(50)
Toggle Use Trend Filter to enable/disable.
4. Visual & Alerts
Green circle at chart bottom indicates Squeeze ON.
Green/Red triangles mark breakouts.
Background gradually brightens during squeeze buildup.
Alerts available for long and short breakouts.
📈 How to Use
Look for Squeeze ON → then wait for breakout arrows.
Trade in breakout direction, preferably with trend filter ON.
Works best on higher timeframes (1h, 4h, D) and trending markets.
Markets: Crypto, Forex, Stocks — effective in volatile assets.
⚙️ Inputs
BB Length / StdDev
KC EMA Length / ATR Multiplier
Use Trend Filter
Trend EMA Length
⚠️ Disclaimer
This script is for educational purposes only. It does not constitute financial advice.
Always test thoroughly before live trading.
Smart Impulse Exhaustion Finder (ATR + ADX Filter)📌 Purpose
This indicator detects potential exhaustion of strong bullish or bearish impulses at fresh swing highs/lows by combining multiple price action and volatility-based filters.
🧠 How It Works
A signal is triggered only when all core conditions are satisfied:
1. Swing High/Low Detection
Current high (or low) must be the highest (or lowest) over the last Extremum Lookback bars (default: 50).
This ensures the move is significant relative to recent price action.
2. Impulse Confirmation
Price must extend by at least 1 × ATR from the previous swing point.
This filters out minor fluctuations.
3. Exhaustion Conditions (at least 2 out of 3 must be met)
RSI Extreme: RSI > Overbought Level (default: 80) for bearish signals, RSI < Oversold Level (default: 20) for bullish signals.
Volume Spike: Volume > SMA(Volume, Volume SMA Length) × Volume Spike Multiplier.
Candle Wick Rejection: Upper wick ≥ Wick Threshold % for bearish setups, Lower wick ≥ Wick Threshold % for bullish setups.
4. Trend Filter
ADX > ADX Threshold ensures the market is trending and filters out sideways conditions.
5. Candle Body Filter
Candle body must be ≥ Body Size ATR Factor × ATR.
This avoids weak signals from small candles or doji formations.
📈 How to Use
Bearish Signal:
Appears at fresh swing highs with exhaustion conditions met. Useful for tightening stops, taking partial profits, or counter-trend shorts.
Bullish Signal:
Appears at fresh swing lows with exhaustion conditions met. Useful for trailing stops, profit-taking, or counter-trend longs.
Recommended Timeframes: Works best on 1h, 4h, and Daily charts.
Markets: Crypto, Forex, Stocks — wherever volatility and trends are present.
⚙️ Inputs
RSI Length / Overbought / Oversold
Volume SMA Length & Volume Spike Multiplier
Wick Threshold %
Extremum Lookback (bars for highs/lows)
ADX Length & Threshold
Body Size ATR Factor
⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice.
Always test thoroughly and apply proper risk management before live trading.
💡 Tip: Combine this tool with your own market context and confluence factors for higher probability setups.
PrismNorm (Rolling)# PrismNorm (Rolling)
Overview
PrismNorm (Rolling) frames four series — VWMA, TWMA, TrueWMA, and a half-price line — over a fixed lookback window, with all series scaled by a chosen volatility measure. Each bar shows how far price has strayed from its rolling anchor, expressed in StdDev, MAD, ATR-scaled, or fixed-percent units.
How It Works
• Compute rolling Weighted Moving Averages over the last lookback bars:
— VWMA: volume-weighted HLC3
— TWMA: simple average of OHLC midpoint
— TrueWMA: TrueRange-weighted TrueMid average
• Anchor each series to its value lookback bars ago (first bar in window). The half-price series uses either close or an SMA lagged by half the window.
• Calculate a volatility measure over volWindowLen = lookback × normMult bars:
— Std Dev of close
— MAD of close
— ATR averaged and scaled to approximate σ
— A fixed percent of the window’s anchor value
• Band width = volatility (or percent of anchor). Normalized output = (net move) ÷ (band width)
Inputs
Settings / Description
• Lookback Period (bars) / Bars used for rolling WMAs and as the anchor lookback
• Deviation Measure / Volatility method: Std Dev, MAD, ATR (scaled), or Percent
• Normalization Span (×Lookback) / Multiplier (1–10) to expand lookback into volatility window
• Percent Deviation (%) / When Percent mode is on, band width = this % of the anchor WMA (or price)
• Scale MAD to σ / Scale Mad by √(π/2) so it aligns with σ under Normal distribution
• Use MA Anchor for Price (½×) / Off: anchor = close ; On: anchor = SMA(close, lookback) shifted by half the lookback
Display
• Show Normalized VWMA
• Show Normalized TWMA
• Show Normalized TrueWMA
• Show Normalized Price (½×)
Tips & Use Cases
• Percent mode yields fixed-width bands, handy for identifying structural shifts without volatility scaling.
• Toggling the MA anchor smooths the reference point, reducing noise in price normalization.
References:
1. TrueWMA Description
## 1. TrueWMA: Volatility-Weighted Price Averaging
What Is TrueWMA?
TrueWMA weights each bar’s TrueMid (TrueRange midpoint) by its TrueRange, so high-volatility bars carry more influence. It blends price level and volatility into one moving average.
In short, it’s a *TrueRange-weighted TrueMid average*.
Pseudocode
// TWMA Example for Comparison
window_size = 50
OHLC = (Open + High + Low + Close) / 4
TWMA = MA(OHLC, window_size)
// VWMA Example for Comparison
window_size = 50
HLC3 = (High + Low + Close) / 3
VWMA = Sum(HLC3 * Volume, window_size) / Sum(Volume, window_size)
// TrueWMA (Rolling)
window_size = 50
max_val = Maximum(Close , High) // TrueRange High
min_val = Minimum(Close , Low) // TrueRange Low
true_mid = (max_val + min_val) / 2 // TrueMid
TrueWMA = Sum(true_mid * TrueRange, window_size) / Sum(TrueRange, window_size)
Interpretation
For each bar, Rolling TrueWMA:
• Computes a TrueMid (“contextual midpoint”) from the prior close and the current bar’s high/low.
• Weights each TrueMid by that bar’s TrueRange.
• Divides the sum of those weighted midpoints by the total TrueRange over the lookback window.
The result is a single series that dynamically blends price levels with recent volatility.