MacD Alerts MACD Triggers (MTF) — Buy/Sell Alerts
What it is
A clean, multi-timeframe MACD indicator that gives you separate, ready-to-use alerts for:
• MACD Buy – MACD line crosses above the Signal line
• MACD Sell – MACD line crosses below the Signal line
It keeps the familiar MACD lines + histogram, adds optional 4-color histogram logic, and marks crossovers with green/red dots. Works on any symbol and any timeframe.
How signals are generated
• MACD = EMA(fast) − EMA(slow)
• Signal = SMA(MACD, length)
• Buy when crossover(MACD, Signal)
• Sell when crossunder(MACD, Signal)
• You can compute MACD on the chart timeframe or lock it to another timeframe (e.g., 1h MACD on a 4h chart).
Key features
• MTF engine: choose Use Current Chart Resolution or a custom timeframe.
• Separate alert conditions: publish two alerts (“MACD Buy” and “MACD Sell”)—ideal for different notifications or webhooks.
• Visuals: MACD/Signal lines, optional 4-color histogram (trend & above/below zero), and crossover dots.
• Heikin Ashi friendly: runs on whatever candle type your chart uses. (Tip below if you want “regular” candles while viewing HA.)
Settings (Inputs)
• Use Current Chart Resolution (on/off)
• Custom Timeframe (when the above is off)
• Show MACD & Signal / Show Histogram / Show Dots
• Color MACD on Signal Cross
• Use 4-color Histogram
• Lengths: Fast EMA (12), Slow EMA (26), Signal SMA (9)
How to set alerts (2 minutes)
1. Add the script to your chart.
2. Click ⏰ Alerts → + Create Alert.
3. Condition: choose this indicator → MACD Buy.
4. Options: Once per bar close (recommended).
5. Set your notification method (popup/email/webhook) → Create.
6. Repeat for MACD Sell.
Webhook tip: send JSON like
{"symbol":"{{ticker}}","time":"{{timenow}}","signal":"BUY","price":"{{close}}"}
(and “SELL” for the sell alert).
Good to know
• Symbol-agnostic: use it on crypto, stocks, indices—no symbol is hard-coded.
• Timeframe behavior: alerts are evaluated on bar close of the MACD timeframe you pick. Using a higher TF on a lower-TF chart is supported.
• Heikin Ashi note: if your chart uses HA, the calculations use HA by default. To force “regular” candles while viewing HA, tweak the code to use ticker.heikinashi() only when you want it.
• No repainting on close: crossover signals are confirmed at bar close; choose Once per bar close to avoid intra-bar noise.
Disclaimer
This is a tool, not advice. Test across timeframes/markets and combine with risk management (position sizing, SL/TP). Past performance ≠ future results.
在腳本中搜尋"Buy sell"
RD Indicator - v 2.0Indicator with provides market structure , Custom opening range , coloured channel with strength or EMA cloud , Coloured candles showing high buying & selling , Buy & sell Zone showing buying & selling power , stop loss , Fib extension based on Previous day high - low and most important green / red lines showing smaller support & resistances. Coined with all above it also provide buy/sell signals potential signals. In all a comprehensive toolkit for traders
KSL-Fullsystem🔥 KSL Indicator คืออะไร? ใช้งานยังไงให้แม่นยำสุดๆ?
KSL คืออินดิเคเตอร์อัจฉริยะที่ช่วยบอก “จุดเปลี่ยนสำคัญของราคา”
ไม่ใช่แค่ดูกราฟมั่ว ๆ แล้วเดาสุ่ม!
📌 จุดเด่นของ KSL คือ “กรอบสีเขียว/แดง”
เมื่อราคามีแรงซื้อหรือแรงขายรุนแรง KSL จะสร้าง กรอบสีเขียว (Buy) หรือ กรอบสีแดง (Sell) ขึ้นมาทันที เพื่อแสดงให้เห็นว่า "ตรงนี้แหละ! คือจุดที่ตลาดมีแรงจริง!"
แต่จำไว้...
อย่ารีบเข้าออเดอร์ทันที!
✅ วิธีใช้งานที่แม่นยำ (เข้าใจง่ายมาก!)
🔹 ขั้นที่ 1: รอให้เกิดสัญญาณ (กรอบขึ้น)
🔹 ขั้นที่ 2: รอราคาย่อ / ดีดกลับมา “แตะกรอบ”
🔹 ขั้นที่ 3: ถ้ามีแรงกลับตัว → เข้าออเดอร์!
📍 กรอบสีเขียว/แดง = โซนต้นทางของแรง
คือโซนที่มีโอกาสเกิดแรงซื้อหรือขายซ้ำอีกครั้ง
ทำให้การเข้าเทรดของคุณ “แม่นยำขึ้น ปลอดภัยขึ้น”
🕒 ใช้ได้ทุก Timeframe ตั้งแต่ M1 ถึง H4
TF ใช้ยังไง จุดเข้า SL TP
M1-M5 เทรดเร็ว จบไว รอแตะกรอบแล้วเข้า นอกกรอบนิดเดียว ตามเป้าส่วนตัว
M15-M30 เห็นแนวโน้มชัด รอรีเทสต์แล้วแท่งย้ำทิศ SL นอกกรอบ TP ตามจังหวะ
H1-H4 เทรนด์แรง เทรนด์ยาว รอกลับตัวจากกรอบ SL นอกกรอบ เหมาะกับสาย Swing
💡 สรุปเข้าใจง่าย ๆ
❌ ห้ามเทรดทันทีหลังเห็นสัญญาณ!
✅ ให้รอราคากลับมาแตะกรอบก่อน
เพราะ:
🔹 กรอบ = จุดเริ่มต้นของแรง (เหมือน Supply/Demand Zone)
🔹 การเข้าเมื่อราคาย้อนกลับมา จะลดความเสี่ยง “ไล่ราคา”
🔹 ช่วยให้ได้จุดเข้าแม่น + SL สั้น + RR ดีขึ้น
📲 อยากลองใช้ KSL Indicator?
ทักมาเลยครับ! ทีมงานพร้อมสอนการใช้งานแบบ Step-by-step
ให้คุณเทรดได้อย่างมั่นใจ ไม่ต้องเดาทิศตลาดอีกต่อไป!
📍 ติดต่อผ่านไลน์: @kslacademy
หรือคลิกเลย: 👉 lin.ee/s5tk5BF
🔥 What is the KSL Indicator? How to Use It Accurately Like a Pro?
KSL is a smart trading indicator that helps identify critical price turning points —
Forget guessing or relying on random chart patterns!
📌 Key Feature: Green/Red Zones
Whenever there’s strong buying or selling pressure, KSL immediately highlights a
Green Box (Buy Signal) or Red Box (Sell Signal) to show you:
“This is where the real momentum started!”
But here’s the catch…
Never enter a trade immediately after the signal!
✅ How to Use KSL for Maximum Accuracy
🔹 Step 1: Wait for a signal box to appear
🔹 Step 2: Wait for price to pull back and retest the box
🔹 Step 3: If there's a sign of reversal → Enter your trade!
📍 The Green/Red Box = Origin Zone of Momentum
It’s where buy/sell pressure may happen again,
giving you a high-probability entry point.
🕒 Works on All Timeframes (M1 to H4)
Timeframe Usage Strategy
M1–M5 Fast scalping: Wait for retest and enter. Keep SL just outside the box.
M15–M30 Clearer trend: Wait for retest + confirmation candle. SL outside box, TP based on trend.
H1–H4 Strong swing trades: Wait for reversal signal at the box. SL outside box. Best for longer moves.
💡 Quick Summary
❌ Don’t jump in right after the signal!
✅ Wait for price to retest the box first.
Why?
🔹 The box = origin of real momentum (like a supply/demand zone)
🔹 Retesting gives a safer entry with better risk/reward
🔹 Helps avoid chasing price and getting trapped
📲 Ready to try KSL Indicator?
Message us now! Our team will guide you step-by-step
so you can trade with confidence — no more second-guessing the market!
📍 LINE: @kslacademy
👉 Or click: lin.ee/s5tk5BF
Visual Delta Dashboard - Dark Theme📊 Visual Delta Dashboard – Dark Theme
An advanced buy/sell delta visualization tool built for high-clarity market analysis, especially in dark mode chart setups.
This script calculates proportional buy & sell volumes from a lower timeframe (configurable), providing traders with:
Real-time Delta Volume Analysis – Difference between buy and sell volume.
Cumulative Delta Tracking – Intraday accumulation to gauge market sentiment.
Delta EMA Trendline – Smooths delta movements for trend confirmation.
Delta Strength Meter – Similar to ADX, showing the momentum behind delta changes.
Volume Spike Detection – Highlights abnormal buying or selling pressure.
Color-Optimized Dark Theme – Bright, contrasting colors for crystal-clear visuals in dark backgrounds.
🔹 Features:
Configurable custom timeframe for volume breakdown.
Delta histogram, line plot, EMA, and strength plots for multiple perspectives.
Dynamic table dashboard showing the last N candles’ buy volume, sell volume, delta, and strength % — with spike highlights and alternating row shading for easy reading.
Abnormal volume alerts for both buy and sell pressure.
Automatic background highlighting for extreme delta strength conditions.
Daily reset for cumulative delta and table data.
📈 How to Use:
Select your preferred lower timeframe (e.g., 1s, 1m) for granular volume analysis.
Adjust Number of Candles for table history depth.
Watch for:
Green delta spikes → Strong buying pressure.
Red delta spikes → Strong selling pressure.
Delta EMA crossover or divergence from delta plot → Momentum shifts.
High Strength % → Trend conviction.
💡 Best For:
Scalpers and day traders looking for real-time order flow insights.
Volume profile and delta traders needing lower timeframe confirmation.
Anyone trading in dark chart themes who wants maximum visual clarity.
Double Fractal Entry📘 Double Fractal Entry – Original Structure-Based Entry System
Double Fractal Entry is a proprietary indicator that uses dynamic fractal structure to generate actionable buy/sell signals, with automatic Stop-Loss and Take-Profit placement. Unlike classic fractal tools or ZigZag-based visuals, this script constructs real-time structural channels from price extremes and offers precise entry points based on breakout or rejection behavior.
It is designed for traders who want a clear, structured approach to trading price action — without repainting, lagging indicators, or built-in oscillators.
🧠 Core Logic
This script combines three custom-built modules:
1. Fractal Detection and Channel Construction
- Fractals are detected using a configurable number of left/right bars (sensitivity).
- Confirmed upper/lower fractals are connected into two continuous channels.
- These channels represent real-time structure zones that evolve with price.
2. Entry Signal Logic
You can choose between two signal types:
- Breakout Mode – Triggers when price breaks above the upper fractal structure (for buys) or below the lower one (for sells).
- Rebound Mode – Triggers when price approaches a fractal channel and then rejects it (forms a reversal setup).
Each signal includes:
- Entry arrow on the chart
- Horizontal entry line
- Stop-Loss and Take-Profit lines
3. SL/TP Calculation
Unlike tools that use ATR or fixed values, SL and TP are dynamically set using the fractal range — the distance between the most recent upper and lower fractals. This makes the risk model adaptive to market volatility and structure.
📊 Visuals on the Chart
- 🔺 Green/Red triangle markers = confirmed fractals
- 📈 Lime/Red channel lines = evolving upper/lower structure
- 🔵 Blue arrow = signal direction (buy/sell)
- 📉 SL/TP lines = dynamically drawn based on fractal spacing
- 🔁 Signal history = optional, toggleable for backtesting
⚙️ Settings and Customization
- Fractal sensitivity (bars left/right)
- Entry mode: Breakout or Rebound
- SL and TP multiplier (based on fractal range)
- Visibility settings (signal history, lines, colors, etc.)
💡 What Makes It Unique
This is not just a variation of standard fractals or a ZigZag wrapper.
Double Fractal Entry was built entirely from scratch and includes:
- ✅ A dual-channel system that shows the live market structure
- ✅ Entry signals based on price behavior around key zones
- ✅ Volatility-adaptive SL/TP levels for realistic trade management
- ✅ Clean, non-repainting logic for both manual and automated use
The goal is to simplify structure trading and provide precise, repeatable entries in any market condition.
🧪 Use Cases
- Breakout mode – Ideal for trend continuation and momentum entries
- Rebound mode – Great for reversals, pullbacks, and range-bound markets
- Can be used standalone or combined with volume/trend filters
⚠️ Disclaimer
This tool is intended for technical analysis and educational use. It does not predict future market direction and should be used with proper risk management and strategy confirmation.
Smart MTF Bias Detector v3 (Debug)Here's a breakdown of the "Smart MTF Bias Detector v3 (Debug)" indicator's five main filters:
Main Trend (Multi-Timeframe Heikin Ashi)
The green/red background indicates the trend from Heikin Ashi candles on the H1 timeframe (or your set timeframe).
If the Heikin Ashi candle closes above its open, the background is green (indicating an upward bias).
If the Heikin Ashi candle closes below its open, the background is red (indicating a downward bias).
Short-Term Trend Filter (EMA50)
The yellow line represents the EMA50.
Buy only when the price closes above the EMA50.
Sell only when the price closes below the EMA50.
Abnormal Buy/Sell Pressure Detection (Volume Spike)
Purple dots signify candles where the volume is greater than the SMA (Simple Moving Average) of volume over N previous candles, multiplied by a specified multiplier.
This confirms there's "force" driving the price up or serious selling pressure.
Momentum Filter (Stochastic RSI)
Blue upward triangles and orange downward triangles indicate when %K crosses %D.
It uses Oversold/Overbought targets (20/80) to avoid crosses in the middle ranges.
Pivot Break (Fractal Breakout)
Red "X" marks represent Fractal Highs, and green "X" marks represent Fractal Lows.
Red/green up/down arrows indicate breakouts of these levels (e.g., a previous High being broken means an upward breakout, or a previous Low being broken means a downward breakout).
BUY Signal Conditions
A BUY signal will be generated when:
The background is green (HTF Trend ↑).
The Stoch RSI crosses up from below the Oversold zone (blue arrow).
A Fractal Low breakout occurs (Fract UP arrow).
The price is above the EMA50.
There is a Volume Spike (purple dot).
SELL Signal Conditions
A SELL signal will be generated when:
The background is red (HTF Trend ↓).
The Stoch RSI crosses down from above the Overbought zone (orange arrow).
A Fractal High breakout occurs (Fract DOWN arrow).
The price is below the EMA50.
There is a Volume Spike (purple dot).
Double Fractal Entry📘 Double Fractal Entry – Original Structure-Based Entry System
Double Fractal Entry is a proprietary indicator that uses dynamic fractal structure to generate actionable buy/sell signals, with automatic Stop-Loss and Take-Profit placement. Unlike classic fractal tools or ZigZag-based visuals, this script constructs real-time structural channels from price extremes and offers precise entry points based on breakout or rejection behavior.
It is designed for traders who want a clear, structured approach to trading price action — without repainting, lagging indicators, or built-in oscillators.
🧠 Core Logic
This script combines three custom-built modules:
1. Fractal Detection and Channel Construction
- Fractals are detected using a configurable number of left/right bars (sensitivity).
- Confirmed upper/lower fractals are connected into two continuous channels.
- These channels represent real-time structure zones that evolve with price.
2. Entry Signal Logic
You can choose between two signal types:
- Breakout Mode – Triggers when price breaks above the upper fractal structure (for buys) or below the lower one (for sells).
- Rebound Mode – Triggers when price approaches a fractal channel and then rejects it (forms a reversal setup).
Each signal includes:
- Entry arrow on the chart
- Horizontal entry line
- Stop-Loss and Take-Profit lines
3. SL/TP Calculation
Unlike tools that use ATR or fixed values, SL and TP are dynamically set using the fractal range — the distance between the most recent upper and lower fractals. This makes the risk model adaptive to market volatility and structure.
📊 Visuals on the Chart
- 🔺 Green/Red triangle markers = confirmed fractals
- 📈 Lime/Red channel lines = evolving upper/lower structure
- 🔵 Blue arrow = signal direction (buy/sell)
- 📉 SL/TP lines = dynamically drawn based on fractal spacing
- 🔁 Signal history = optional, toggleable for backtesting
⚙️ Settings and Customization
- Fractal sensitivity (bars left/right)
- Entry mode: Breakout or Rebound
- SL and TP multiplier (based on fractal range)
- Visibility settings (signal history, lines, colors, etc.)
💡 What Makes It Unique
This is not just a variation of standard fractals or a ZigZag wrapper.
Double Fractal Entry was built entirely from scratch and includes:
- ✅ A dual-channel system that shows the live market structure
- ✅ Entry signals based on price behavior around key zones
- ✅ Volatility-adaptive SL/TP levels for realistic trade management
- ✅ Clean, non-repainting logic for both manual and automated use
The goal is to simplify structure trading and provide precise, repeatable entries in any market condition.
🧪 Use Cases
- Breakout mode – Ideal for trend continuation and momentum entries
- Rebound mode – Great for reversals, pullbacks, and range-bound markets
- Can be used standalone or combined with volume/trend filters
🔒 Invite-Only Notice
This is an invite-only script with a fully closed source.
All logic is original and developed by the author. It does not use or copy public open-source scripts, built-in indicators (RSI, MA, etc.), or repainting tricks. The entire entry and risk system is based on custom structural logic built from real-time price action.
⚠️ Disclaimer
This tool is intended for technical analysis and educational use. It does not predict future market direction and should be used with proper risk management and strategy confirmation.
Master Trend Navigator/趋势大师导航仪[4H] by mrlazycat趋势大师导航仪使用说明
⚠ 非常重要，使用指标前请认真阅读这个使用说明
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 浅红色：弱多头趋势 深红色：强多头趋势 浅绿色：弱空头趋势 深绿色：强空头趋势
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
在强多头趋势（深红色）和深绿色（强空头趋势）和部分弱趋势期间：
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
① 超买超卖信号
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
② 成交量爆发信号
顶部红色圆圈：代表成交量比率的爆发期，可能在当前或未来1-6根K线内出现阶段性高点。
底部黄色圆圈：代表成交量比率的潜在底部机会，可能在当前或未来1-6根K线内出现阶段性低点。
✅ 注意连续大量的顶部红色圆圈和底部黄色圆圈的出现，这意味着极端行情的出现。
③ 背离信号
顶背离（卖出信号）：红色倒三角图标（标记为Bearish divergence\Sell）出现在趋势曲线顶部，当价格创新高但趋势曲线未创新高时触发，预示大幅回调风险。
底背离（买入信号）：绿色正三角图标（标记为Bullish divergence\Buy）出现在趋势曲线底部，当价格创新低但趋势曲线未创新低时触发，预示底部反弹机会。
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。
最简单操作要诀
✅ 底部抄底组合：强空头趋势转弱空头 + 绿色超卖区 + 底背离绿色三角 + 底部黄色成交量圈
✅ 顶部逃顶组合：强多头趋势转弱多头趋势转换 + 红色超买区 + 顶背离红色三角 + 顶部红色成交量圈
✅ 趋势延续信号：趋势曲线锁定在 ±0.7 时，耐心等待锁定解除
推特联系：Jeffmo0769
Trend Master Navigator User Guide
⚠ Important: Please read this guide carefully before using the indicator
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
Light Red: Weak bullish trend
Deep Red: Strong bullish trend
Light Green: Weak bearish trend
Deep Green: Strong 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 trends (deep red) and strong bearish trends (deep green), and partial weak trends:
If the trend curve breaks above the red zone (overbought) and 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 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.
✅ In the context of extreme bullish trends (e.g., ETH from July 10 to 20, 2025, where the trend curve remained red, indicating a persistent bullish trend), even though ETH's trend curve once dipped into the oversold zone, causing the curve to lock at the bottom for 3 K-line periods, this signifies a right-side buying opportunity during the bullish trend.
Trading Signals
① Overbought/Oversold Signals
Red Zone (Overbought): Trend curve ≥ 0.6 → Potential pullback risk
Green Zone (Oversold): Trend curve ≤ -0.615 → Potential rebound opportunity
② Volume Explosion Signals
Top Red Circle: Represents a volume ratio explosion period, possibly indicating a phase peak within the current or next 1-6 bars.
Bottom Yellow Circle: Represents a potential bottom opportunity in volume ratio, possibly indicating a phase trough within the current or next 1-6 bars.
✅ Pay attention to the continuous appearance of top red circles and bottom yellow circles, as this signals the emergence of extreme market conditions.
③ Divergence Signals
Bearish Divergence (Sell): Red inverted triangle icon (marked as Bearish divergence\Sell) appears at the trend curve top when the price makes a new high, but the trend curve does not; this indicates a significant pullback risk.
Bullish Divergence (Buy): Green upright triangle icon (marked as Bullish divergence\Buy) appears at the trend curve bottom when the price makes a new low, but the trend curve does not; this indicates a potential bottom rebound opportunity.
Other 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.
Simplest Trading Tactics
✅ Bottom Picking Setup: Transition from strong bearish trend to weak bearish + Green oversold zone + Bullish divergence green triangle + Bottom yellow volume circle
✅ Top Selling Setup: Transition from strong bullish trend to weak bullish trend + Red overbought zone + Bearish divergence red triangle + Top red volume circle
✅ Trend Continuation Signal: Trend curve locked at ±0.7 → Wait patiently for lock release
Contact on X: Jeffmo0769
Intra Candle Volume Distribution @MaxMaserati2.0 INTRA CANDLE VOLUME DISTRIBUTION @MaxMaserati2.0
- Advanced Intra-Candle Distribution Mapping-
Discover the hidden volume dynamics within each candle! This revolutionary indicator analyzes buying vs selling pressure at multiple price levels INSIDE individual candles, revealing volume distribution patterns that traditional indicators completely miss.
✨ KEY FEATURES:
📊 Real-time volume distribution analysis at 4 price levels per candle
🎯 Smart detection - only shows significant volume concentrations
🏆 Winner-only mode for clean, directional signals
📈 Delta analysis showing net buying/selling pressure
📋 Comprehensive statistics table with live and historical data
🎨 Fully customizable colors, sizes, and display options
Selection to see the volume battle between buyer and sellers inside of the candle
Great, if you like to know the why's
🔍 WHAT MAKES IT UNIQUE:
- Advanced algorithms distribute volume across price levels within each candle
- Intelligent filtering eliminates noise, showing only significant volume zones
- Dynamic dot sizing based on volume intensity
- Real-time table comparing current vs previous candle metrics
- Multi-timeframe compatible (works on all timeframes)
- Professional-grade order flow analysis
📚 PERFECT FOR:
- Scalpers seeking precise entry/exit points
- Day traders validating breakouts and reversals
- Volume analysis specialists
- Order flow traders
- Institutional-style analysis on retail platforms
When only the winner (Strongest pressure) of the candle is selected
Better for fast decision making
When the delta is selected
Great to have clear idea of the net volume
🛠️ HOW TO USE:
Simply add to chart and customize to your preference. Green dots = bulls dominating that price level, red dots = bears dominating. Larger dots = higher volume intensity. Use the comprehensive table for detailed volume distribution analysis.
⚡ PERFORMANCE OPTIMIZED:
Efficient code ensures smooth operation without chart lag, even with maximum visual elements.
Support Resistance with Order BlocksIndicator Description
Professional Price Level Detection for Smart Trading. Master the Markets with Precision Support/Resistance and Order Block Analysis . It provides traders with clear visual cues for potential reversal and breakout areas, combining both retail and institutional trading concepts into one powerful tool.
The Support & Resistance with Order Blocks indicator is a versatile Pine Script tool designed to empower traders with clear, actionable insights into key market levels. By combining advanced pivot-based support and resistance (S/R) detection with order block (OB) filtering, this indicator delivers clean, high-probability zones for entries, exits, and reversals. With customizable display options (boxes or lines) and intuitive settings, it’s perfect for traders of all styles—whether you’re scalping, swing trading, or investing long-term. Overlay it on your TradingView chart and elevate your trading strategy today!
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Key Features
✅ Dynamic Support/Resistance - Auto-adjusting levels based on price action
✅ Smart Order Block Detection - Identifies institutional buying/selling zones
✅ Dual Display Modes - Choose between Boxes or Clean Lines for different chart styles
✅ Customizable Sensitivity - Adjust detection parameters for different markets
✅ Broken Level Markers - Clearly shows when key levels are breached
✅ Timeframe-Adaptive - Automatically adjusts for daily/weekly charts
1. Dynamic Support & Resistance Detection
Identifies critical S/R zones using pivot high/low calculations with adjustable look back periods.
Visualizes active S/R zones with distinct colors and labels ("Support" or "Resistance" for boxes, lines for cleaner charts).
Marks broken S/R levels as "Br S" (broken support) or "Br R" (broken resistance) when historical display is enabled, aiding in breakout and reversal analysis.
2. Smart Order Block Identification
Detects bullish and bearish order blocks based on significant price movements (default: ±0.3% over 5 candles).
Highlights institutional buying/selling zones with customizable colors, displayed as boxes or lines.
Filters out overlapping OB zones to keep your chart clutter-free.
3. Dual Display Options
Boxes or Lines: Choose to display S/R and OB as boxes for detailed zones or lines for a minimalist view.
Line Width Customization: Adjust line widths for S/R and OB (1–5 pixels) for optimal visibility.
Color Customization: Tailor colors for active/broken S/R and bullish/bearish OB zones.
4. Advanced Overlap Filtering
Ensures S/R zones don’t overlap with OB zones or other S/R levels, providing only the most relevant levels.
Limits the number of active zones (default: 10) to maintain chart clarity.
5. Historical S/R Visualization
Optionally display broken S/R levels with distinct colors and labels ("Br S" or "Br R") to track historical price reactions.
Broken levels are dynamically updated and removed (or retained) based on user settings.
6. Timeframe Adaptability
Automatically adjusts pivot detection for daily/weekly timeframes (40-candle look back) versus shorter timeframes (20-candle look back).
Works seamlessly across all asset classes (stocks, forex, crypto, etc.) and timeframes.
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How It Works
• Support & Resistance:
Uses ta.pivothigh and ta.pivotlow to detect significant price pivots, with a user-defined look back (default: 5 candles post-pivot).
Plots S/R as boxes (with labels "Support" or "Resistance") or lines, extending to the current bar for real-time relevance.
Broken S/R levels are marked with adjusted colors and labels ("S" or "R" for boxes, "Br S" or "Br R" for lines when historical display is enabled).
• Order Blocks:
Identifies OB based on strong price movements over 4 candles, plotted as boxes or lines at the candle’s midpoint.
Validates OB to prevent overlap, ensuring only significant zones are displayed.
Removes OB zones when price breaks through, keeping the chart focused on active levels.
• Customization:
Toggle S/R and OB visibility, adjust detection sensitivity, and set maximum active zones (4–50).
Fine-tune line widths and colors for a personalized chart experience.
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Why Use This Indicator?
• Precision Trading: Pinpoint high-probability entry/exit zones with filtered S/R and OB levels.
• Clean Charts: Overlap filtering and zone limits reduce clutter, focusing on key levels.
• Versatile Display: Switch between boxes for detailed zones or lines for simplicity, with adjustable line widths.
• Institutional Edge: Leverage OB detection to align with institutional activity for smarter trades.
• User-Friendly: Intuitive settings and clear visuals make it accessible for beginners and pros alike.
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Settings Overview________________________________________
⚙ Input Parameters
Settings Overview
Display Options:
Display Type: Choose "Boxes" or "Lines" for S/R and OB visualization.
S/R Line Width: Set line thickness for S/R lines (1–5 pixels, default: 2).
OB Line Width: Set line thickness for OB lines (1–5 pixels, default: 2).
Order Block Options:
Show Order Block: Enable/disable OB display.
Bull/Bear OB Colors: Customise border and fill colors for bullish and bearish OB zones.
Support/Resistance Options:
Show S/R: Toggle active S/R zones.
Show Historical S/R: Display broken S/R levels, marked as "Br S" or "Br R" for lines.
Detection Period: Set candle lookback for pivot detection (4–50, default: 5).
Max Active Zones: Limit active S/R and OB zones (4–50, default: 10).
Colors: Customise active and broken S/R colors for clear differentiation.
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How to Use
1. Add to Chart: Apply the indicator to your TradingView chart.
2. Customize Settings:
o Select "Boxes" or "Lines" for your preferred display style.
o Adjust line widths, colors, and detection parameters to suit your trading style.
o Enable "Show Historical S/R" to track broken levels with "Br S" and "Br R" labels.
3. Analyze Levels:
o Use support zones (green) for buy entries and resistance zones (red) for sell entries.
o Monitor OB zones for institutional activity, signaling potential reversals or continuations.
o Watch for "Br S" or "Br R" labels to identify breakout opportunities.
4. Combine with Other Tools: Pair with trend indicators, volume analysis, or price action for a robust strategy.
5. Monitor Breakouts: Trade breakouts when price breaches S/R or OB zones, with historical labels providing context.
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Example Use Cases
• Swing Trading: Use S/R and OB zones to identify entry/exit points, with historical broken levels for context.
• Breakout Trading: Trade price breaks through S/R or OB, using "Br S" and "Br R" labels to confirm reversals.
• Scalping: Adjust detection period for faster S/R and OB identification on lower timeframes.
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• Performance: Optimized for all timeframes, with best results on 5M, 15M, 30M, 1H, 4H, or daily charts for swing trading.
• Compatibility: Works with any asset class and TradingView chart.
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Get Started
Transform your trading with Support & Resistance with Order Blocks! Add it to your chart, customize it to your style, and trade with confidence. For questions or feedback, drop a comment on TradingView or message the author. Happy trading! 🚀
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Disclaimer: This indicator is for educational and informational purposes only. Always conduct your own analysis and practice proper risk management before trading.
Pattern Finder with MTF Boxes (Break - Fixed)Script Title:
MTF Supply/Demand Zone Indicator with Candlestick Pattern Confirmation
Short Description:
This advanced strategy identifies key Supply and Demand zones (Order Blocks) on higher timeframes (30m & 1h) and then waits for a pullback to these zones on the current timeframe. The final entry signal is triggered upon the appearance of a valid candlestick pattern (e.g., Hammer, Engulfing) within these zones.
Full Description:
Introduction & Core Concept
This script is a powerful trading tool based on a combination of the following concepts:
Multi-Timeframe (MTF) Analysis: Identifying significant structures on higher timeframes to understand the bigger market picture.
Supply and Demand Zones: Finding areas where an imbalance between buyers and sellers has caused strong price movements.
Candlestick Patterns: Using classic candlestick patterns as the final confirmation for entering a trade at these key zones.
The main idea is to avoid trading blindly and instead wait for the price to react to a significant zone, then enter with a confirmation signal.
How the Strategy Works (Step-by-Step)
Identifying the Key Pattern on Higher Timeframes:
The script continuously monitors the 30-minute and 1-hour charts to find a specific pattern: a short consolidation period (usually 1-4 candles) immediately followed by a breakout with a powerful, high-momentum candle (Long Bar). This pattern indicates the formation of a fresh Supply or Demand Zone.
Drawing the Supply and Demand Boxes:
Green Box (Demand Zone): When a minor high is broken by a bullish Long Bar, this area is identified as potential support and marked with a green box.
Red Box (Supply Zone): When a minor low is broken by a bearish Long Bar, this area is identified as potential resistance and marked with a red box.
White Box (Long Bar / Trigger Zone): This box highlights the range of the Long Bar candle itself. A break of or return to this zone provides important signals.
Waiting for a Pullback:
After a zone is identified and drawn, the strategy waits for the price on your current chart to pull back into this box.
Entry Confirmation with Candlestick Patterns:
Once the price enters the box, the script looks for reversal candlestick patterns:
In a Demand Zone (Green Box): It looks for bullish patterns like the Hammer, Bullish Engulfing, Bullish Harami, and Morning Star. Upon detection, a BUY label appears on the chart.
In a Supply Zone (Red Box): It looks for bearish patterns like the Hanging Man, Shooting Star, Bearish Engulfing, Bearish Harami, and Evening Star. Upon detection, a SELL label appears.
Breakout Signal:
In addition to reversal signals, if the price breaks the White Box (Long Bar Zone) in the opposite direction, a breakout signal is generated, which could indicate a trend continuation.
Visual Elements on the Chart
Green/Red Boxes: The primary Supply and Demand zones from higher timeframes.
White Boxes: The range of the Long Bar candle that activated the primary zone.
BUY/SELL Labels: Trade signals that appear after a candlestick confirmation within the zones.
Moving Averages (SMA 100 & 200): Included to help identify the overall market trend. Trades aligned with the trend are generally more reliable.
Input Settings
period ATR & Bar multiplayer: Allow you to customize the definition of a "Long Bar" based on market volatility.
Number of candle for long bar avrage: The lookback period for calculating the average candle body size.
multiplayer for tp: A multiplier to calculate the take-profit based on the stop-loss size (Risk-to-Reward ratio).
How to Use This Strategy
Apply the script to your main trading timeframe (e.g., 5-minute or 15-minute).
Wait for a Supply (Red) or Demand (Green) zone to be drawn on your chart.
Be patient and wait for the price to return to this zone.
If a BUY or SELL label appears, consider it a valid entry signal.
Always combine these signals with your own analysis and the overall market context.
Disclaimer: This script is an analytical tool and should not be the sole basis for your trading decisions. Always practice proper risk management and thoroughly backtest its performance before using it in a live account.
Volume Overbought/Oversold Zones📊 What You’ll See on the Chart
Red Background or Red Triangle ABOVE a Candle
🔺 Means: Overbought Volume
→ Volume on that bar is much higher than average (as defined by your settings).
→ Suggests strong activity, possible exhaustion in the trend or an emotional spike.
→ It’s a warning: consider watching for signs of reversal, especially if price is already stretched.
Green Background or Green Triangle BELOW a Candle
🔻 Means: Oversold Volume
→ Volume on that bar is much lower than normal.
→ Suggests the market may be losing momentum, or few sellers are left.
→ Could signal an upcoming reversal or recovery if confirmed by price action.
Orange Line Below the Candles (Volume Moving Average)
📈 Shows the "normal" average volume over the last X candles (default is 20).
→ Helps you visually compare each bar’s volume to the average.
Gray Columns (Actual Volume Bars)
📊 These are your regular volume bars — they rise and fall based on how active each candle is.
🔍 What This Indicator Does (In Simple Words)
This indicator looks at trading volume—which is how many shares/contracts were traded in a given period—and compares it to what's considered "normal" for recent history. When volume is unusually high or low, it highlights those moments on the chart.
It tells you:
• When volume is much higher than normal → market might be overheated or experiencing a buying/selling frenzy.
• When volume is much lower than normal → market might be quiet, potentially indicating lack of interest or indecision.
These conditions are marked visually, so you can instantly spot them.
💡 How It Helps You As a Trader
1. Spotting Exhaustion in Trends (Overbought Signals)
If a market is going up and suddenly volume spikes way above normal, it may mean:
• The move is getting crowded (lots of buyers are already in).
• A reversal or pullback could be near because smart money may be taking profits.
Trading idea: Wait for high-volume up bars, then look for price weakness to consider a short or exit.
2. Identifying Hidden Opportunities (Oversold Signals)
If price is falling but volume drops unusually low, it might mean:
• Panic is fading.
• Sellers are losing energy.
• A bounce or trend reversal could happen soon.
Trading idea: After a volume drop in a downtrend, watch for bullish price patterns or momentum shifts to consider a buy.
3. Confirming or Doubting Breakouts
Volume is critical for confirming breakouts:
• If price breaks a key level with strong volume, it's more likely to continue.
• A breakout without volume could be a fake-out.
This indicator highlights volume surges that can help you confirm such moves.
📈 How to Use It in Practice
• Combine it with candlestick patterns, support/resistance, or momentum indicators.
• Use the background colors or shapes as a visual cue to pause and analyze.
• Adjust the sensitivity to suit fast-moving markets (like crypto) or slow ones (like large-cap stocks).
Uptrick: Universal Z-Score ValuationOverview
The Uptrick: Universal Z-Score Valuation is a tool designed to help traders spot when the market might be overreacting—whether that’s on the upside or the downside. It does this by combining the Z-scores of multiple key indicators into a single average, letting you see how far the current market conditions have stretched away from “normal.” This average is shown as a smooth line, supported by color-coded visuals, signal markers, optional background highlights, and a live breakdown table that shows the contribution of each indicator in real time. The focus here is on spotting potential reversals, not following trends. The indicator works well across all timeframes and asset classes, from fast intraday charts like the 1-minute and 5-minute, to higher timeframes such as the 4-hour, daily, or even weekly. Its universal design makes it suitable for any market — whether you're trading crypto, stocks, forex, or commodities.
Introduction
To understand what this indicator does, let’s start with the idea of a Z-score. In simple terms, a Z-score tells you how far a number is from the average of its recent history, measured in standard deviations. If the price of an asset is two standard deviations above its mean, that means it’s statistically “rare” or extended. That doesn’t guarantee a reversal—but it suggests the move is unusual enough to pay attention.
This concept isn’t new, but what this indicator does differently is apply the Z-score to a wide set of market signals—not just price. It looks at momentum, volatility, volume, risk-adjusted performance, and even institutional price baselines. Each of those indicators is normalized using Z-scores, and then they’re combined into one average. This gives you a single, easy-to-read line that summarizes whether the entire market is behaving abnormally. Instead of reacting to one indicator, you’re reacting to a statistically balanced blend.
Purpose
The goal of this script is to catch turning points—places where the market may be topping out or bottoming after becoming overstretched. It’s built for traders who want to fade sharp moves rather than follow trends. Think of moments when price explodes upward and starts pulling away from every moving average, volume spikes, volatility rises, and RSI shoots up. This tool is meant to spot those situations—not just when price is stretched, but when multiple different indicators agree that something is overdone.
Originality and Uniqueness
Most indicators that use Z-scores only apply them to one thing—price, RSI, or maybe Bollinger Bands. This one is different because it treats each indicator as a contributor to the full picture. You decide which ones to include, and the script averages them out. This makes the tool flexible but also deeply informative.
It doesn’t rely on complex or hidden math. It uses basic Z-score formulas, applies them to well-known indicators, and shows you the result. What makes it unique is the way it brings those signals together—statistically, visually, and interactively—so you can see what’s happening in the moment with full transparency. It’s not trying to be flashy or predictive. It’s just showing you when things have gone too far, too fast.
Inputs and Parameters
This indicator includes a wide range of configurable inputs, allowing users to customize which components are included in the Z-score average, how each indicator is calculated, and how results are displayed visually. Below is a detailed explanation of each input:
General Settings
Z-Score Lookback (default: 100): Number of bars used to calculate the mean and standard deviation for Z-score normalization. Larger values smooth the Z-scores; smaller values make them more reactive.
Bar Color Mode (default: None): Determines how bars are visually colored. Options include: None: No candle coloring applied. - Heat: Smooth gradient based on the Z-score value. - Latest Signal: Applies a solid color based on the most recent buy or sell signal
Boolean - General
Plot Universal Valuation Line (default: true): If enabled, plots the average Z-score (zAvg) line in the separate pane.
Show Signals (default: true): Displays labels ("𝓤𝓹" for buy, "𝓓𝓸𝔀𝓷" for sell) when zAvg crosses above or below user-defined thresholds.
Show Z-Score Table (default: true): Displays a live table listing each enabled indicator's Z-score and the current average.
Select Indicators
These toggles enable or disable each indicator from contributing to the Z-score average:
Use VWAP Z-Score (default: true)
Use Sortino Z-Score (default: true)
Use ROC Z-Score (default: true)
Use Price Z-Score (default: true)
Use MACD Histogram Z-Score (default: false)
Use Bollinger %B Z-Score (default: false)
Use Stochastic K Z-Score (default: false)
Use Volume Z-Score (default: false)
Use ATR Z-Score (default: false)
Use RSI Z-Score (default: false)
Use Omega Z-Score (default: true)
Use Sharpe Z-Score (default: true)
Only enabled indicators are included in the average. This modular design allows traders to tailor the signal mix to their preferences.
Indicator Lengths
These inputs control how each individual indicator is calculated:
MACD Fast Length (default: 12)
MACD Slow Length (default: 26)
MACD Signal Length (default: 9)
Bollinger Basis Length (default: 20): Used to compute the Bollinger %B.
Bollinger Deviation Multiplier (default: 2.0): Standard deviation multiplier for the Bollinger Band calculation.
Stochastic Length (default: 14)
ATR Length (default: 14)
RSI Length (default: 14)
ROC Length (default: 10)
Zones
These thresholds define key signal levels for the Z-score average:
Neutral Line Level (default: 0): Baseline for the average Z-score.
Bullish Zone Level (default: -1): Optional intermediate zone suggesting early bullish conditions.
Bearish Zone Level (default: 1): Optional intermediate zone suggesting early bearish conditions.
Z = +2 Line Level (default: 2): Primary threshold for bearish signals.
Z = +3 Line Level (default: 3): Extreme bearish warning level.
Z = -2 Line Level (default: -2): Primary threshold for bullish signals.
Z = -3 Line Level (default: -3): Extreme bullish warning level.
These zone levels are used to generate signals, fill background shading, and draw horizontal lines for visual reference.
Why These Indicators Were Merged
Each indicator in this script was chosen for a specific reason. They all measure something different but complementary.
The VWAP Z-score helps you see when price has moved far from the volume-weighted average, often used by institutions.
Sortino Ratio Z-score focuses only on downside risk, which is often more relevant to traders than overall volatility.
ROC Z-score shows how fast price is changing—strong momentum may burn out quickly.
Price Z-score is the raw measure of how far current price has moved from its mean.
RSI Z-score shows whether momentum itself is stretched.
MACD Histogram Z-score captures shifts in trend strength and acceleration.
%B (Bollinger) Z-score indicates how close price is to the upper or lower volatility envelope.
Stochastic K Z-score gives a sense of how high or low price is relative to its recent range.
Volume Z-score shows when trading activity is unusually high or low.
ATR Z-score gives a read on volatility, showing if price movement is expanding or contracting.
Sharpe Z-score measures reward-to-risk performance, useful for evaluating trend quality.
Omega Z-score looks at the ratio of good returns to bad ones, offering a more nuanced view of efficiency.
By normalizing each of these using Z-scores and averaging only the ones you turn on, the script creates a flexible, balanced view of the market’s statistical stretch.
Calculations
The core formula is the standard Z-score:
Z = (current value - average) / standard deviation
Every indicator uses this formula after it’s calculated using your chosen settings. For example, RSI is first calculated as usual, then its Z-score is calculated over your selected lookback period. The script does this for every indicator you enable. Then it averages those Z-scores together to create a single value: zAvg. That value is plotted and used to generate visual cues, signals, table values, background color changes, and candle coloring.
Sequence
Each selected indicator is calculated using your custom input lengths.
The Z-score of each indicator is computed using the shared lookback period.
All active Z-scores are added up and averaged.
The resulting zAvg value is plotted as a line.
Signal conditions check if zAvg crosses user-defined thresholds (default: ±2).
If enabled, the script plots buy/sell signal labels at those crossover points.
The candle color is updated using your selected mode (heatmap or signal-based).
If extreme Z-scores are reached, background highlighting is applied.
A live table updates with each individual Z-score so you know what’s driving the signal.
Features
This script isn’t just about stats—it’s about making them usable in real time. Every feature has a clear reason to exist, and they’re all there to give you a better read on market conditions.
1. Universal Z-Score Line
This is your primary reference. It reflects the average Z-score across all selected indicators. The line updates live and is color-coded to show how far it is from neutral. The further it gets from 0, the brighter the color becomes—cyan for deeply oversold conditions, magenta for overbought. This gives you instant feedback on how statistically “hot” or “cold” the market is, without needing to read any numbers.
2. Signal Labels (“𝓤𝓹” and “𝓓𝓸𝔀𝓷”)
When the average Z-score drops below your lower bound, you’ll see a "𝓤𝓹" label below the bar, suggesting potential bullish reversal conditions. When it rises above the upper bound, a "𝓓𝓸𝔀𝓷" label is shown above the bar—indicating possible bearish exhaustion. These labels are visually clear and minimal so they don’t clutter your chart. They're based on clear crossover logic and do not repaint.
3. Real-Time Z-Score Table
The table shows each indicator's individual Z-score and the final average. It updates every bar, giving you a transparent breakdown of what’s happening under the hood. If the market is showing an extreme average score, this table helps you pinpoint which indicators are contributing the most—so you’re not just guessing where the pressure is coming from.
4. Bar Coloring Modes
You can choose from three modes:
None: Keeps your candles clean and untouched.
Heat: Applies a smooth gradient color based on Z-score intensity. As conditions become more extreme, candle color transitions from neutral to either cyan (bullish pressure) or magenta (bearish pressure).
Latest Signal: Applies hard coloring based on the most recent signal—greenish for a buy, purple for a sell. This mode is great for tracking market state at a glance without relying on a gradient.
Every part of the candle is colored—body, wick, and border—for full visibility.
5. Background Highlighting
When zAvg enters an extreme zone (typically above +2 or below -2), the background shifts color to reflect the market’s intensity. These changes aren’t overwhelming—they’re light fills that act as ambient warnings, helping you stay aware of when price might be reaching a tipping point.
6. Customizable Zone Lines and Fills
You can define what counts as neutral, overbought, and oversold using manual inputs. Horizontal lines show your thresholds, and shaded regions highlight the most extreme zones (+2 to +3 and -2 to -3). These lines give you visual structure to understand where price currently stands in relation to your personal reversal model.
7. Modular Indicator Control
You don’t have to use all the indicators. You can enable or disable any of the 12 with a simple checkbox. This means you can build your own “blend” of market context—maybe you only care about RSI, price, and volume. Or maybe you want everything on. The script adapts accordingly, only averaging what you select.
8. Fully Customizable Sensitivity and Lengths
You can adjust the Z-score lookback length globally (default 100), and tweak individual indicator lengths separately. This lets you tune the indicator’s responsiveness to suit your trading style—slower for longer swings, faster for scalping.
9. Clean Integration with Any Chart Layout
All visual elements are designed to be informative without taking over your chart. The coloring is soft but clear, the labels are readable without being huge, and you can turn off any feature you don’t need. The indicator can work as a full dashboard or as a simple line with a couple of alerts—it’s up to you.
10. Precise, Real-Time Signal Logic
The crossover logic for signals is exact and only fires when the Z-score moves across your defined boundary. No estimation, no delay. Everything is calculated based on current and previous bar data, and nothing repaints or back-adjusts.
Conclusion
The Universal Z-Score Valuation indicator is a tool for traders who want a clear, unbiased way to detect overextension. Instead of relying on a single signal, you get a composite of several market perspectives—momentum, volatility, volume, and more—all standardized into a single view. The script gives you the freedom to control the logic, the visuals, and the components. Whether you use it as a confirmation tool or a primary signal source, it’s designed to give you clarity when markets become chaotic.
Disclaimer
This indicator is for research and educational use only. It does not constitute financial advice or guarantees of performance. All trading involves risk, and users should test any strategy thoroughly before applying it to live markets. Use this tool at your own discretion.
Supply & Demand MTF[E7T]This is not your average supply and demand tool. it’s a powerful, flexible indicator that helps traders spot high-probability opportunities by adapting to real-time market conditions. It uses a smart combination of volatility (ATR), volume, and price action to identify key zones where the market is likely to react. Perfect for scalpers and swing traders alike, this strategy brings together adaptive zone detection, trend bias (pivot line), two-tiered signals (S1 and S2), volume filtering, built-in Fibonacci targets, and even a debug mode for transparency and performance tracking.
KEY FEATURES
1. ADAPTIVE ZONE DETECTION; This feature highlights areas where price is likely to bounce or reversebullish demand zones and bearish supply zones. Instead of using fixed levels, it adjusts based on market volatility.
HOW IT WORKS:
Uses Average True Range (ATR) to measure volatility.
TWO MODES:
Low Volatility Mode: Makes zones tighter for calm markets.
High Volatility Mode: Expands zones during choppy or fast-moving conditions.
Plots red boxes for supply zones and blue for demand zones. Zones extend until broken or naturally expire.
WHY IT MATTERS: Traditional zone indicators often fall short in fast-changing conditions. This one adjusts automatically, helping you stay one step ahead.
EXAMPLE: On a 4H BTCUSD chart, a demand zone will form at a key support level and adjust its size depending on whether the market is quiet or volatile.
2. MARKET BIAS PIVOT LINE; This dynamic line helps you quickly see whether the market is trending up or down so you can trade in the direction of strength.
HOW IT WORKS:
Based on recent swing highs and lows (default: last 4 bars).
Line is green when price is above (bullish), red when below (bearish).
Updates live and can be turned on/off in settings.
WHY IT MATTERS: It’s a built-in trend filter. Use it to avoid fighting the market.
EXAMPLE: If SPY is above a green pivot and enters a demand zone, it’s a solid bullish setup.
3. DUAL ENTRY SIGNALS (S1 and S2) The strategy gives you two signal types depending on your risk style:
S1 SIGNALS: Early entry, based on basic confirmation (like a bullish engulfing pattern).
S2 SIGNALS: Stronger entry, requiring solid candle confirmation, volume spike, and close near the zone.
HOW IT WORKS:
S1 = good for aggressive traders or small size entries.
S2 = better for high-conviction trades and bigger position sizes.
Both signals follow your selected market mood (bullish or bearish).
WHY IT MATTERS: Flexibility! Most indicators only offer one signal style. This one gives you choice.
EXAMPLE: In EURUSD, S1 might show up when price taps a demand zone and forms a small bullish candle. If volume increases and the next candle closes strong, S2 confirms the entry.
4. VOLUME CONFIRMATION This filters out weak signals by checking for real buying/selling interest.
HOW IT WORKS:
Compares current volume to previous bar and a 10–14 bar average.
Adjustable volume thresholds for S1 and S2.
Can be disabled for markets with unreliable volume (like certain forex pairs).
WHY IT MATTERS: It adds a layer of quality control. High-volume moves usually mean higher conviction.
EXAMPLE: On AAPL, an S2 will only trigger if volume jumps by 1.3x the average, signaling strong seller presence.
5. BUILT-IN FIBONACCI TARGETS (TP1, TP2, SL) No more guessing exits. The strategy draws take profit (TP) and stop loss (SL) levels automatically based on zone size.
HOW IT WORKS:
TP1 = 2.12x the zone height
TP2 = 3.3x the zone height
SL = 1x the zone height (all adjustable)
These are shown as dashed (TP) and solid (SL) lines with labels
WHY IT MATTERS: Reduces emotional decision-making. Helps you plan trades with consistent risk/reward.
Example: In GOLD, if the demand zone is $20 tall, TP1 would be ~$42.40 higher, TP2 ~$66 higher, and SL $20 lower.
6. FULLY CUSTOMIZABLE INPUTS Tweak the settings to match your style and asset type.
KEY INPUTS:
Market Mood: Choose bullish (1) or bearish (2)
Timeframe Filter: Focus only on reliable zones (30M or 4H) or can disable to show on every timeframe
Zone Limit: Limit how many zones show (e.g., max 4)
Breakout Buffer: Defines how much price must move to break a zone
Zone Opacity: Make zones more/less visible
WHY IT MATTERS: This lets you dial in the indicator for scalping, swing trading, crypto, stocks, or forex.
Example: A scalper might use tighter zones and a low breakout buffer, while a swing trader prefers more zones and higher volatility mode.
7. DEBUG MODE (Optional) Get under the hood and see exactly how the strategy works.
HOW IT WORKS:
Shows metrics like ATR, volatility mode, memory usage, signal win rate, etc.
Plots visual lines showing zone age and success rate (TP1 hit tracking)
WHY IT MATTERS: Very few indicators show their math. This one does—great for power users who want to optimize.
EXAMPLE: You might discover that signals perform best in high volatility mode during news events, helping you adjust settings accordingly.
HOW TO USE IT
1. Add it to your TradingView chart (30M or 4H timeframes recommended).
2. Adjust inputs:
Market Mood = 1 (bullish) or 2 (bearish)
Pick your Volatility Mode
Set Zone Collector Limit (3–4 works well)
Use Timeframe Filter for better signals
3. Watch for S1 and S2:
S1 = quicker trades, lighter risk
S2 = stronger confirmation, bigger trades
4. Use the Pivot Line for trade direction.
5. Manage exits with auto TP/SL levels.
6. Turn on Debug Mode if you want detailed stats.
WORKS VERY WELL WITHOUT REPAINTING
Why It’s a Game-Changer; IT takes the guesswork out of zone trading. It’s not just smart—it’s adaptive. From volatility and volume to dynamic signals and exit plans, everything adjusts based on what the market is doing. And with a built-in trend filter and real-time debug info, it’s like having a trading co-pilot that’s always alert.
Why It’s Different Most zone indicators are basic. This one isn’t. Here’s why:
Adaptive zones that change with the market
Dual signal system (S1/S2) for flexibility
Volume confirmation to filter noise
Built-in Fibonacci targets for clean exits
Debug mode that shows you how it works
YOU CAN SET ALERTS WITHOUT repainting
THIS isn’t just another tool—it’s a smarter, more responsive way to trade.
Volume Delta Candles 5TF + MTF Candles [SYNC & TRADE]Volume Delta Candles 5TF + MTF Candles Script Description (English)
Purpose
The Volume Delta Candles 5TF + MTF Candles script is an analytical tool for traders leveraging volume delta and multi-timeframe (MTF) analysis. It visualizes volume delta (the difference between buying and selling volumes) across five timeframes, aiding in the identification of manipulations, strong market impulses, and trend signals.
Additionally, it overlays higher timeframe candles on the current chart, providing context for decision-making.
The indicator is ideal for traders focusing on volume, manipulation analysis, or trend-following strategies. Its uniqueness lies in its detailed five-timeframe delta analysis, automated timeframe selection, and customizable settings.
Volume Delta Analysis
Volume delta is the core metric of the script, representing the difference between buying and selling volumes over a given period. It is divided into five levels, each corresponding to one of the five timeframes, enabling traders to observe how market activity varies across temporal scales. The primary delta is automatically adjusted based on the selected chart timeframe, ensuring relevance.
Timeframe Selection
Primary Timeframes: Automatically determined based on the chart, including monthly, weekly, daily, 4-hour, and hourly periods. These cover long- and medium-term trends, providing a robust context.
Lower Timeframes: Optimized to capture significant short-term movements. These are shorter than primary timeframes and focus on market micro-activity, such as manipulations or impulses.
Five Timeframe Interconnection
The five timeframes provide a comprehensive analysis by balancing granularity and context. Each timeframe evaluates volume delta, creating a layered perspective:
Short Timeframes: Capture immediate changes in activity (e.g., buying or selling spikes).
Long Timeframes: Assess the sustainability of movements, filtering out short-term noise. Delta for each timeframe is displayed as a separate candle, with color and size reflecting its magnitude and direction. This allows traders to compare short-term actions against broader trends.
Delta’s Impact on Candles
Volume delta directly influences candle visualization, reflecting market dynamics. Splitting delta into five parts (one per timeframe) makes the analysis intuitive. Key scenarios include:
Small Delta on Lower Timeframe, Large on Higher:
Description: A low timeframe shows minimal delta (e.g., slight buying/selling difference), while a higher timeframe shows significant delta (e.g., strong buying dominance).
Interpretation: Suggests large players accumulating positions on the higher timeframe, masked by low activity on the lower. Traders may enter in the direction of the higher trend.
Visualization: The lower timeframe candle is narrow and faint, while the higher timeframe candle is wide and vibrant (blue for positive delta, red for negative).
Large Delta on Lower Timeframe, Small on Higher:
Description: A low timeframe exhibits strong delta (e.g., a selling surge), but the higher timeframe shows weak activity.
Interpretation: Indicates a short-term impulse or manipulation unsupported by the broader trend. Traders should be cautious, as the move may be false.
Visualization: The lower timeframe candle is bright and wide, while the higher timeframe candle is faint and narrow.
Reverse Delta:
Description: A lower timeframe shows positive delta (buying dominance), while a higher timeframe shows negative delta (selling dominance), or vice versa.
Interpretation: Suggests potential manipulation or reversal. For example, short-term buying may be absorbed by selling on a higher timeframe, signaling bearish weakness.
Visualization: Candles on different timeframes have opposing colors (e.g., blue on lower, red on higher).
Deltas in Both Directions:
Description: Delta alternates between positive and negative across timeframes without clear dominance.
Interpretation: Reflects market indecision or consolidation. Traders should wait for clearer signals or use additional indicators.
Visualization: Candles across timeframes show mixed colors and sizes, creating a “scattered” pattern.
Empty Candles (Void):
Description: Delta on one or more timeframes is near zero despite price movement.
Interpretation: Indicates false movement or lack of market interest, often tied to manipulations like false breakouts.
Visualization: Marked with a diamond (void manipulation), with the candle appearing minimal and faint.
Utility
Detailed Delta Analysis: Five delta levels reveal market activity from micro- to macro-levels.
Manipulation Detection: Highlights candles with price-delta divergence, aiding in spotting false moves.
Strong Candles: Marks impulsive moves with high delta and volume.
MTF Analysis: Displays higher timeframe candles, simplifying trend and key level analysis.
Versatility: Sensitivity settings make it suitable for stocks, forex, crypto, and all timeframes.
How to Use
Adding to Chart:
Open TradingView and select an asset.
Find “Volume Delta Candles 5TF + MTF Candles ” in the “Indicators” menu.
Confirm access (invite-only script).
Interpreting Signals:
Delta Candles: Colored by delta direction (blue for positive, red for negative). Color intensity and candle size reflect delta strength across five timeframes.
Manipulations:
Triangles: Strong price-delta divergence.
Crosses: Weak divergence.
Diamonds: Void candles with minimal delta.
Strong Candles: Circles below/above candles indicate high-delta impulses.
MTF Candle: A transparent higher timeframe candle shows trend and range.
Trading Application:
Use manipulations to spot reversals or false breakouts.
Confirm impulses with strong candles and higher timeframe delta.
Analyze MTF candles for trend context.
Compare delta across all five timeframes to filter signals.
Combine with support/resistance or other indicators.
Settings
Parameters are grouped for ease of customization.
1. Labels
Show Manipulations: Display strong manipulation labels (triangles).
Show Void Manipulations: Show void manipulations (diamonds).
Show Delta Sandwich: Reserved for future updates.
Show Strong Candles: Display strong candles (circles).
2. Filters (Strong Candle Filter)
Filter Sensitivity: Filter sensitivity:
Normal: For stable markets.
Medium: For moderate volatility.
Sensitive: For high-frequency trading.
3. Delta Colors
Delta 1↑ (Main): Color for positive delta on the main timeframe.
Delta 1↓ (Main): Color for negative delta on the main timeframe.
Other timeframes use derived colors with varying opacity.
4. Timeframes
Timeframe Sensitivity: Sensitivity for lower timeframes:
Normal: Standard division.
Medium: More detailed analysis.
Sensitive: Maximum detail.
5. MTF Candle
Show MTF Candle: Display higher timeframe candle.
Bullish/Bearish Color: Colors for bullish/bearish candles.
Show High/Low: Show highs/lows.
High/Low Color: Color for high/low lines.
MTF Timeframe: Select higher timeframe (default: daily).
Описание скрипта Volume Delta Candles 5TF + MTF Candles (Русский)
Назначение
Скрипт Volume Delta Candles 5TF + MTF Candles — это аналитический инструмент для трейдеров, использующих дельту объема и анализ нескольких таймфреймов (MTF). Он визуализирует дельту объема (разницу между объемами покупок и продаж) на пяти таймфреймах, помогая выявлять манипуляции, сильные рыночные импульсы и трендовые сигналы. Дополнительно скрипт отображает свечи старшего таймфрейма на текущем графике, предоставляя контекст для принятия решений.
Индикатор подходит для трейдеров, работающих с объемами, анализом манипуляций или трендовыми стратегиями. Его уникальность заключается в детализированном анализе дельты объема на пяти таймфреймах, адаптивной автоматизации таймфреймов и гибких настройках.
Анализ дельты объема
Дельта объема — это ключевая метрика скрипта, отражающая разницу между объемами покупок и продаж за определенный период. Она разделена на пять уровней, соответствующих пяти таймфреймам, что позволяет трейдерам видеть, как рыночная активность варьируется на разных временных масштабах. Основная дельта подбирается автоматически в зависимости от выбранного таймфрейма графика, обеспечивая релевантность анализа.
Выбор таймфреймов
Основные таймфреймы: Автоматически определяются на основе текущего графика и включают месяц, неделю, день, 4 часа и час. Эти таймфреймы выбраны для охвата долгосрочных и среднесрочных трендов, обеспечивая контекст для анализа.
Нижние таймфреймы: Подбираются методом оптимизации для выявления наиболее значимых краткосрочных движений. Они короче основных таймфреймов и фокусируются на микроактивности рынка, такой как манипуляции или импульсы.
Взаимосвязь пяти таймфреймов
Пять таймфреймов обеспечивают комплексный анализ, сочетая детализацию и контекст. Каждый таймфрейм анализирует дельту объема, создавая многослойную картину:
Короткие таймфреймы: Улавливают моментальные изменения активности (например, всплеск покупок или продаж).
Длинные таймфреймы: Оценивают устойчивость движений, фильтруя шум краткосрочных колебаний. Дельта на каждом таймфрейме отображается отдельной свечой, с цветом и размером, зависящими от ее величины и направления. Это позволяет трейдерам сравнивать, как краткосрочные действия соотносятся с более широкими трендами.
Влияние дельты на свечи
Дельта объема напрямую влияет на визуализацию свечей, отражая рыночную динамику. Разделение дельты на пять частей (по одному для каждого таймфрейма) делает анализ интуитивно понятным. Рассмотрим ключевые сценарии:
Маленькая дельта на низком таймфрейме, большая на высоком:
Описание: На младшем таймфрейме дельта мала (например, незначительная разница между покупками и продажами), но на старшем таймфрейме дельта велика (например, сильный перевес покупок).
Интерпретация: Это может указывать на накопление позиций крупными игроками на старшем таймфрейме, маскируемое низкой активностью на младшем. Трейдеры могут использовать это как сигнал для входа в направлении старшего тренда.
Визуализация: Свеча младшего таймфрейма будет узкой и бледной, а свеча старшего — широкой и яркой (синяя для положительной дельты, красная для отрицательной).
Большая дельта на низком таймфрейме, маленькая на высоком:
Описание: На младшем таймфрейме наблюдается сильная дельта (например, всплеск продаж), но на старшем — слабая активность.
Интерпретация: Это может быть краткосрочным импульсом или манипуляцией, не поддерживаемой общим трендом. Трейдеры должны быть осторожны, так как движение может быть ложным.
Визуализация: Свеча младшего таймфрейма яркая и широкая, а старшего — бледная и узкая.
Обратная дельта:
Описание: Дельта на младшем таймфрейме положительная (покупки преобладают), а на старшем — отрицательная (продажи доминируют), или наоборот.
Интерпретация: Указывает на потенциальную манипуляцию или разворот. Например, краткосрочные покупки могут быть поглощены продажами на старшем таймфрейме, сигнализируя о слабости быков.
Визуализация: Свечи разных таймфреймов окрашены в противоположные цвета (например, синяя на младшем, красная на старшем).
Дельты в оба направления:
Описание: На разных таймфреймах дельта чередуется между положительной и отрицательной без явного доминирования.
Интерпретация: Отражает неопределенность или консолидацию на рынке. Трейдерам стоит дождаться более четких сигналов или использовать другие индикаторы.
Визуализация: Свечи разных таймфреймов имеют смешанные цвета и размеры, создавая «разбросанную» картину.
Пустые свечи (Void):
Описание: Дельта на одном или нескольких таймфреймах близка к нулю, несмотря на движение цены.
Интерпретация: Указывает на ложное движение или отсутствие интереса участников рынка. Это часто связано с манипуляциями, такими как ложные пробои.
Визуализация: Отмечается ромбовидной меткой (void-манипуляция), а свеча имеет минимальный размер и бледный цвет.
Полезность
Детализированный анализ дельты: Пять уровней дельты показывают, как рыночная активность варьируется от микро- до макроуровня.
Обнаружение манипуляций: Маркирует свечи с расхождением цены и дельты, помогая выявить ложные движения.
Сильные свечи: Выделяет импульсные движения с высокой дельтой и объемом.
MTF-анализ: Отображает свечи старшего таймфрейма, упрощая анализ трендов и ключевых уровней.
Универсальность: Настройки чувствительности делают скрипт подходящим для акций, форекса, криптовалют и любых таймфреймов.
Как использовать
Добавление на график:
Откройте TradingView и выберите актив.
Найдите индикатор «Volume Delta Candles 5TF + MTF Candles » в меню «Индикаторы».
Подтвердите доступ (скрипт invite-only).
Интерпретация сигналов:
Дельта-свечи: Окрашены по направлению дельты (синий — положительная, красный — отрицательная). Интенсивность цвета и размер свечи зависят от силы дельты на каждом из пяти таймфреймов.
Манипуляции:
Треугольники: Сильное расхождение цены и дельты.
Кресты: Слабое расхождение.
Ромбы: Пустые свечи (void), указывающие на минимальную дельту.
Сильные свечи: Круги под/над свечами обозначают импульсы с высокой дельтой.
MTF-свеча: Прозрачная свеча старшего таймфрейма показывает тренд и диапазон.
Применение в торговле:
Используйте манипуляции для поиска разворотов или ложных пробоев.
Подтверждайте импульсы сильными свечами и дельтой на старших таймфреймах.
Анализируйте MTF-свечи для определения трендового контекста.
Сравнивайте дельту на всех пяти таймфреймах для фильтрации сигналов.
Комбинируйте с уровнями поддержки/сопротивления или другими индикаторами.
Настройки
Параметры сгруппированы для удобства настройки.
1. Метки (Labels)
Show Manipulations: Показывать сильные манипуляции (треугольники).
Show Void Manipulations: Показывать void-манипуляции (ромбы).
Show Delta Sandwich: Зарезервировано для будущих обновлений.
Show Strong Candles: Показывать сильные свечи (круги).
2. Фильтры (Strong Candle Filter)
Filter Sensitivity: Чувствительность фильтра:
Normal: Для стабильных рынков.
Medium: Для умеренной волатильности.
Sensitive: Для высокочастотной торговли.
3. Цвета дельты (Delta Colors)
Delta 1↑ (Main): Цвет положительной дельты основного таймфрейма.
Delta 1↓ (Main): Цвет отрицательной дельты основного таймфрейма.
Остальные таймфреймы используют производные цвета с разной прозрачностью.
4. Таймфреймы (Timeframes)
Timeframe Sensitivity: Чувствительность нижних таймфреймов:
Normal: Стандартное деление.
Medium: Более детализированный анализ.
Sensitive: Максимальная детализация.
5. MTF-свеча (MTF Candle)
Show MTF Candle: Показывать свечу старшего таймфрейма.
Bullish/Bearish Color: Цвета бычьей/медвежьей свечи.
Show High/Low: Показывать максимумы/минимумы.
High/Low Color: Цвет линий максимума/минимума.
MTF Timeframe: Выбор старшего таймфрейма (по умолчанию — дневной).
Pineify Signals and OverlaysIndicator Theoretical Basis
Pineify Signals and Overlays is an invite-only trend-following and reversal-detection toolkit that fuses four well-known concepts— Dow-Theory trend phases , a multi-pair EMA cloud, QQE momentum, and ATR-based risk management—into a single, weight-balanced engine. An optional multi-time-frame (MTF) filter aligns lower-time-frame signals with higher-time-frame structure, helping traders avoid counter-trend setups. All components can be toggled from the settings panel, and a beginner “One-Click” preset loads a conservative profile out of the box.
Why it’s a single script: The algorithm scores every bar on three orthogonal axes—trend, momentum, and volatility—then issues context-aware arrows and coloured clouds only when the axes agree within user-defined tolerances. This inter-locking logic cannot be reproduced by simply stacking independent indicators on a chart, hence the need for an integrated implementation.
Trend Confirmation
Trend Confirmation: This indicator presents two types of market trends: the primary trend and the secondary trend. The primary trend is the long - term direction of the market and can last for days or months; the secondary trend is the adjustment phase within the primary trend.
This indicator uses the EMA (Exponential Moving Average) and visualizes the trend phases through color filling. The judgment of the trend is that blue plus green indicates a bullish trend, and yellow plus red indicates a bearish trend.
The primary trend of this indicator is visualized by two sets of moving averages through color filling. These two sets of moving averages are used to describe the short - term and long - term trends in the market.
The short - period moving averages and the long - period moving averages each consist of 4 moving averages, with a total of 8 moving averages, representing the short - term fluctuations and trends of the market.
Trend Persistence: Once the primary trend is formed, it will persist for a period of time. This indicator judges based on the Dow Theory. Short - term market fluctuations do not necessarily reflect changes in the primary trend. Therefore, the judgment direction of the primary trend is visualized through color.
The Signals of Buying, Selling and Closing
In the primary trend, we can see signals of trend reversal. This indicator incorporates the "Consecutive Candles". The indicator mainly identifies the overbought or oversold state of the market through a series of consecutive conditions, so as to predict the reversal point. The core of this indicator is to identify a series of consecutive price movements in the market trend and determine whether the market is about to reverse based on this sequence. We visualize the turning points through buy and sell signals.
The trend confirmation system utilizes four pairs of Exponential Moving Averages (EMAs) creating dynamic cloud formations that visualize market direction. Short-period EMAs (5, 8, 20, 34) interact with longer-period EMAs (9, 13, 21, 50) to generate color-coded trend clouds . Blue and green clouds indicate bullish conditions, while yellow and red clouds signal bearish trends, providing immediate visual trend identification.
The presentation of buying and selling points, namely "Quantitative Qualitative Estimation", is a technical indicator that combines the concepts of the Relative Strength Index (RSI) and moving averages. It is used to evaluate market trends, overbought and oversold conditions, as well as potential trend reversal points. The oscillator has a relatively long smoothing period, making the indicator relatively stable, thus enabling the visualization of buy + and sell + signals for trading.
ATR Stop - Loss Line
ATR (Average True Range) is an indicator for measuring market volatility. By using the ATR value to set the stop - loss distance, the stop - loss level can be automatically adjusted according to market volatility, making the stop - loss more flexible.
Core principle
Trend-Cloud Engine
EMA Pairs (5, 8, 20, 34 vs 9, 13, 21, 50)—Two four-EMA sets form “fast” and “slow” envelopes. When the volume-weighted mean of the fast set sits above the slow set and both slopes are positive, the bar is tagged primary bullish; the inverse tags primary bearish. Cloud colours (blue/green vs yellow/red) mirror Dow Theory’s primary/secondary trend hierarchy.
Momentum & Exhaustion Layer
QQE Oscillator (RSI 14, factor 4.238) detects momentum extremes and smooths noise more than a raw RSI, making it better suited for multi-time-frame use.
Consecutive-Candle Counter (default 8) highlights potential exhaustion after extended unidirectional moves; reversal symbols appear only if QQE divergence also exists.
Volatility-Adjusted Risk Line
ATR Trailing Stop (ATR 21, dynamic multiplier) expands in high volatility and tightens in low volatility, offering an adaptive exit reference rather than a fixed-tick stop.
Multi-Time-Frame Confirmation
The script automatically chooses a higher aggregation (e.g., 4 × the chart timeframe) and requires primary-trend agreement before issuing “Long ▲+” or “Short ▼+” confirmations. This guards against false signals during counter-trend rebounds.
Recommended parameters
RSI Length: 14 (QQE calculation base)
QQE Factor: 4.238 (Fibonacci-based multiplier)
ATR Period: 21 (volatility measurement)
EMA Lengths: Configurable short (5,8,20,34) and long (9,13,21,50) periods
Consecutive Candles: Selectable count (8)
Multi-timeframe Filter: Filter is enabled by default, resulting in more accurate signals.
Filters
The multi-timeframe filter enhances signal reliability by confirming trends across higher timeframes. This prevents counter-trend trades by ensuring alignment between current chart timeframe and broader market direction. The filter automatically calculates appropriate higher timeframes for trend confirmation.
Signals & Alerts
The indicator system exports multiple alert signals, and you can easily alert for any signal.
Up Trend : Primary long signal appears
Long - ▲ : Buy signal appears
Long - ▲+ : Confirmation buy signal appears
Long - ● : Primary reversal signal appears
Long - ☓ : Secondary reversal signal appears
Down Trend : Primary short signal appears
Short - ▼ : Sell signal appears
Short - ▼+ : Confirmation sell signal appears
Short - ● : Primary reversal signal appears
Short - ☓ : Secondary reversal signal appears
Originality & Value for Traders
Integrated scoring logic ensures signals fire only when trend, momentum, and volatility metrics corroborate, reducing “indicator conflict”.
Auto-computed MTF pairs mean no manual timeframe juggling.
Weight-balanced QQE/EMA blend creates smoother trend clouds than standard MA crosses, yet remains more responsive than Keltner or Donchian approaches.
One-click beginner profile plus full parameter access supports both novice and advanced users.
Risk Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (Pineify) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Smarter Money Flow Divergence Detector [PhenLabs]📊 Smarter Money Flow Divergence Detector
Version: PineScript™ v6
📌 Description
SMFD was developed to help give you guys a better ability to “read” what is going on behind the scenes without directly having access to that level of data. SMFD is an enhanced divergence detection indicator that identifies money flow patterns from advanced volume analysis and price action correspondence. The detection portion of this indicator combines intelligent money flow calculations with multi timeframe volume analysis to help you see hidden accumulation and distribution phases before major price movements occur.
The indicator measures institutional trading activity by looking at volume surges, price volume dynamics, and the factors of momentum to construct an overall picture of market sentiment. It’s built to assist traders in identifying high probability entries by identifying if smart money is positioning against price action.
🚀 Points of Innovation
● Advanced Smart Money Flow algorithm with volume spike detection and large trade weighting
● Multi timeframe volume analysis for enhanced institutional activity detection
● Dynamic overbought/oversold zones that adapt to current market conditions
● Enhanced divergence detection with pivot confirmation and strength validation
● Color themes with customizable visual styling options
● Real time institutional bias tracking through accumulation/distribution analysis
🔧 Core Components
● Smart Money Flow Calculation: Combines price momentum, volume expansion, and VWAP analysis
● Institutional Bias Oscillator: Tracks accumulation/distribution patterns with volume pressure analysis
● Enhanced Divergence Engine: Detects bullish/bearish divergences with multiple confirmation factors
● Dynamic Zone Detection: Automatically adjusts overbought/oversold levels based on market volatility
● Volume Pressure Analysis: Measures buying vs selling pressure over configurable periods
● Multi factor Signal System: Generates entries with trend alignment and strength validation
🔥 Key Features
● Smart Money Flow Period: Configurable calculation period for institutional activity detection
● Volume Spike Threshold: Adjustable multiplier for detecting unusual institutional volume
● Large Trade Weight: Emphasis factor for high volume periods in flow calculations
● Pivot Detection: Customizable lookback period for accurate divergence identification
● Signal Sensitivity: Three tier system (Conservative/Medium/Aggressive) for signal generation
● Themes: Four color schemes optimized for different chart backgrounds
🎨 Visualization
● Main Oscillator: Line, Area, or Histogram display styles with dynamic color coding
● Institutional Bias Line: Real time tracking of accumulation/distribution phases
● Dynamic Zones: Adaptive overbought/oversold boundaries with gradient fills
● Divergence Lines: Automatic drawing of bullish/bearish divergence connections
● Entry Signals: Clear BUY/SELL labels with signal strength indicators
● Information Panel: Real time statistics and status updates in customizable positions
📖 Usage Guidelines
Algorithm Settings
● Smart Money Flow Period
○ Default: 20
○ Range: 5-100
○ Description: Controls the calculation period for institutional flow analysis.
Higher values provide smoother signals but reduce responsiveness to recent activity
● Volume Spike Threshold
○ Default: 1.8
○ Range: 1.0-5.0
○ Description: Multiplier for detecting unusual volume activity indicating institutional participation. Higher values require more extreme volume for detection
● Large Trade Weight
○ Default: 2.5
○ Range: 1.5-5.0
○ Description: Weight applied to high volume periods in smart money calculations. Increases emphasis on institutional sized transactions
Divergence Detection
● Pivot Detection Period
○ Default: 12
○ Range: 5-50
○ Description: Bars to analyze for pivot high/low identification.
Affects divergence accuracy and signal frequency
● Minimum Divergence Strength
○ Default: 0.25
○ Range: 0.1-1.0
○ Description: Required price change percentage for valid divergence patterns.
Higher values filter out weaker signals
✅ Best Use Cases
● Trading with intraday to daily timeframes for institutional position identification
● Confirming trend reversals when divergences align with support/resistance levels
● Entry timing in trending markets when institutional bias supports the direction
● Risk management by avoiding trades against strong institutional positioning
● Multi timeframe analysis combining short term signals with longer term bias
⚠️ Limitations
● Requires sufficient volume for accurate institutional detection in low volume markets
● Divergence signals may have false positives during highly volatile news events
● Best performance on liquid markets with consistent institutional participation
● Lagging nature of volume based calculations may delay signal generation
● Effectiveness reduced during low participation holiday periods
💡 What Makes This Unique
● Multi Factor Analysis: Combines volume, price, and momentum for comprehensive institutional detection
● Adaptive Zones: Dynamic overbought/oversold levels that adjust to market conditions
● Volume Intelligence: Advanced algorithms identify institutional sized transactions
● Professional Visualization: Multiple display styles with customizable themes
● Confirmation System: Multiple validation layers reduce false signal generation
🔬 How It Works
1. Volume Analysis Phase:
● Analyzes current volume against historical averages to identify institutional activity
● Applies multi timeframe analysis for enhanced detection accuracy
● Calculates volume pressure through buying vs selling momentum
2. Smart Money Flow Calculation:
● Combines typical price with volume weighted analysis
● Applies institutional trade weighting for high volume periods
● Generates directional flow based on price momentum and volume expansion
3. Divergence Detection Process:
● Identifies pivot highs/lows in both price and indicator values
● Validates divergence strength against minimum threshold requirements
● Confirms signals through multiple technical factors before generation
💡 Note: This indicator works best when combined with proper risk management and position sizing. The institutional bias component helps identify market sentiment shifts, while divergence signals provide specific entry opportunities. For optimal results, use on liquid markets with consistent institutional participation and combine with additional technical analysis methods.
IU Liquidity Flow TrackerDESCRIPTION
The IU Liquidity Flow Tracker is a powerful market analysis tool designed to visualize hidden buying and selling activity by analyzing price action, volume behavior, market pressure, and depth. It provides a composite view of liquidity dynamics to help traders identify accumulation, distribution, and neutral phases with high clarity.
This indicator is ideal for traders who want to gauge the flow of market participants and make informed entry/exit decisions based on the underlying liquidity structure.
USER INPUTS:
* Flow Analysis Period: Length used for analyzing price spread and volume flow.
* Pressure Sensitivity: Adjusts the sensitivity of threshold detection for flow classification.
* Flow Smoothing: Controls the smoothing applied to raw flow data.
* Market Depth Analysis: Sets the depth range for rejection and wick analysis.
* Colors: Customize colors for accumulation, distribution, neutral zones, and pressure visualization.
INDICATOR LOGIC:
The IU Liquidity Flow Tracker uses a multi-factor model to evaluate market behavior:
1. Liquidity Pressure: Combines price spread, price efficiency, and volume imbalance.
2. Flow Direction: Weighted momentum using short, medium, and long-term price changes adjusted for volume.
3. Market Depth: Wick-based rejection scoring to estimate buying/selling aggressiveness at price extremes.
4. Composite Flow Index: Blended value of flow direction, pressure, and depth—smoothed for clarity.
5. Dynamic Thresholds: Automatically adjusts based on volatility to classify the market into:
* Accumulation: Strong buying signals.
* Distribution: Strong selling signals.
* Neutral: No significant flow dominance.
6. Entry Signals: Long/Short signals are generated when flow state shifts, supported by momentum, volume surge, and depth strength.
WHY IT IS UNIQUE:
Unlike typical indicators that rely solely on price or volume, this tool combines spread behavior, volume polarity, momentum weighting, and price rejection zones into a single visual interface. It dynamically adjusts sensitivity based on market volatility, helping avoid false signals during sideways or low-volume periods.
It is not based on any traditional indicator (RSI, MACD, etc.), making it ideal for traders looking for an original and data-driven market read.
HOW USER CAN BENEFIT FROM IT:
* Understand Market Context: Know whether the market is being accumulated, distributed, or ranging.
* Improve Entries/Exits: Use flow transitions combined with volume confirmation for high-probability setups.
* Spot Institutional Activity: Detect subtle shifts in liquidity that precede major price moves.
* Reduce Whipsaws: Dynamic thresholds and multi-factor confirmation help filter noise.
* Use with Any Style: Whether you're a swing trader, day trader, or scalper, this tool adapts to different timeframes and strategies.
DISCLAIMER:
This indicator is created for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading involves risk, and users should conduct their own analysis or consult with a qualified financial advisor before making any trading decisions. The creator is not responsible for any losses incurred through the use of this tool. Use at your own discretion.
CPD Approach Algo [ValiantTrader]CPD Approach Algo Indicator Explained
This indicator, created by ValiantTrader, is a sophisticated tool for analyzing price action and market structure across different timeframes. Here's how it works and how traders use it:
Core Functionality
The CPD (Candle Price Distribution) Approach Algo divides the price range into horizontal zones and analyzes several key metrics within each zone:
Price Distribution: Shows where price has spent most time (high concentration areas)
Volume Clusters: Identifies zones with significant trading volume
Pressure Zones: Detects buying/selling pressure in specific price levels
Candle Differences: Highlights transitions between zones
How Traders Use It
1. Identifying Key Levels
The colored zones (green for buy, red for sell, gray neutral) show where price has historically reacted
Dense candle clusters indicate strong support/resistance areas
2. Volume Analysis
Volume clusters reveal where most trading activity occurred
High volume zones often act as magnets for price or reversal points
3. Pressure Detection
The pressure zones (with ↑ and ↓ arrows) show where buying or selling pressure was strongest
Helps identify potential breakout or reversal points
4. Multi-Timeframe Analysis
The custom timeframe input allows analyzing higher timeframe structure while viewing lower timeframe charts
Helps align trades with the dominant timeframe's structure
5. Transition Analysis
The delta values between zones show how price is moving between levels
Positive deltas (green) show upward momentum, negative (red) show downward
Practical Trading Applications
Support/Resistance Trading: Fade price at dense candle clusters with opposing pressure
Breakout Trading: Trade breaks from low-candle-count zones into high-volume zones
Mean Reversion: Trade returns to high-volume value areas after deviations
Trend Confirmation: Consistent pressure in one direction confirms trend strength
The indicator provides a comprehensive view of market structure by combining price, volume, and time elements across customizable timeframes, helping traders make more informed decisions about potential entries, exits, and key levels to watch.
Malama's Heikin CountMalama's Heikin Count is a Pine Script indicator designed to enhance price action analysis by combining Heikin Ashi candlestick calculations with a normalized measurement of upper and lower shadow sizes. The indicator overlays Heikin Ashi candles on the chart and displays the relative sizes of upper and lower shadows as numerical labels (scaled from 1 to 10) for candles within the last two days, starting from 9:00 AM each day. This tool aims to help traders identify the strength of price movements and potential reversals by quantifying the significance of candlestick shadows in the context of Heikin Ashi’s smoothed price data. It is particularly useful for day traders and swing traders who rely on candlestick patterns to gauge market sentiment and momentum.
The indicator solves the problem of interpreting raw candlestick data by providing a smoothed visualization through Heikin Ashi candles and a simplified, numerical representation of shadow sizes. This allows traders to quickly assess whether a candle’s upper or lower shadow indicates strong buying or selling pressure, aiding in decision-making for entries, exits, or reversals.
Originality and Usefulness
Originality: While Heikin Ashi candles are a well-known technique for smoothing price data and reducing noise, Malama's Heikin Count introduces a novel feature by calculating and normalizing the sizes of upper and lower shadows relative to the total candle height. Unlike standard Heikin Ashi implementations, which focus solely on candle body trends, this indicator quantifies shadow proportions and presents them on a standardized 1–10 scale. This normalization makes it easier for traders to compare shadow significance across different timeframes and assets without needing to manually interpret raw measurements. The restriction of shadow size labels to the last two days from 9:00 AM ensures relevance for active trading sessions, avoiding clutter from older data.
Usefulness: The indicator is particularly valuable for traders who combine candlestick pattern analysis with trend-following strategies. By integrating Heikin Ashi’s trend-smoothing capabilities with shadow size metrics, it provides a unique perspective on market dynamics. For example, large upper shadows (high normalized values) may indicate rejection at resistance levels, while large lower shadows may suggest support or buying pressure. Unlike other open-source Heikin Ashi indicators, which typically focus only on candle plotting, this script’s shadow size normalization and time-based filtering offer a distinctive tool for intraday and short-term trading strategies.
Detailed Methodology ("How It Works")
The core logic of Malama's Heikin Count revolves around three main components: Heikin Ashi candle calculations, shadow size analysis, and time-based filtering for label display. Below is a breakdown of how these components work together:
Heikin Ashi Candle Calculations:
The script calculates Heikin Ashi candles to smooth price data and reduce market noise, making trends easier to identify.
Formulas:
haClose = (open + high + low + close) / 4: The Heikin Ashi close is the average of the current bar’s open, high, low, and close prices.
haOpen = na(haOpen ) ? (open + close) / 2 : (haOpen + haClose ) / 2: The Heikin Ashi open is either the average of the current bar’s open and close (for the first bar) or the average of the previous Heikin Ashi open and close.
haHigh = max(high, max(haOpen, haClose)): The Heikin Ashi high is the maximum of the current bar’s high, Heikin Ashi open, and Heikin Ashi close.
haLow = min(low, min(haOpen, haClose)): The Heikin Ashi low is the minimum of the current bar’s low, Heikin Ashi open, and Heikin Ashi close.
These calculations produce smoothed candles that emphasize trend direction and reduce the impact of short-term price fluctuations.
Shadow Size Analysis:
The script calculates the upper and lower shadows of each Heikin Ashi candle to assess market sentiment.
Formulas:
upperShadow = haHigh - max(haClose, haOpen): Measures the length of the upper shadow (distance from the top of the candle body to the high).
lowerShadow = min(haClose, haOpen) - haLow: Measures the length of the lower shadow (distance from the bottom of the candle body to the low).
totalHeight = haHigh - haLow: Calculates the total height of the candle (from high to low).
upperShadowPercentage = (upperShadow / totalHeight) * 100: Converts the upper shadow length to a percentage of the total candle height.
lowerShadowPercentage = (lowerShadow / totalHeight) * 100: Converts the lower shadow length to a percentage of the total candle height.
Normalization: The normalizeShadowSize function scales the shadow percentages to a 1–10 range using math.round(value / 10). This ensures that shadow sizes are presented in an easily interpretable format, where 1 represents a very small shadow (less than 10% of the candle height) and 10 represents a very large shadow (90–100% of the candle height). The normalization caps values between 1 and 10 for consistency.
Time-Based Filtering:
The script only displays shadow size labels for candles within the last two days, starting from 9:00 AM each day. This is achieved by calculating a start timestamp using timestamp(year(timenow), month(timenow), dayofmonth(timenow) - daysBack, startHour, startMinute), where daysBack = 2, startHour = 9, and startMinute = 0.
The condition time >= startTime ensures that labels are only plotted for candles within this time window, keeping the chart relevant for recent trading activity and avoiding clutter from older data.
Signal Generation:
The script does not generate explicit buy or sell signals but provides visual cues through shadow size labels. Large upper shadow sizes (e.g., 8–10) may indicate selling pressure or resistance, while large lower shadow sizes may suggest buying pressure or support. Traders can use these metrics in conjunction with the Heikin Ashi candle colors (green for bullish, red for bearish) to make trading decisions.
Strategy Results and Risk Management
Backtesting: The script is an indicator and does not include built-in backtesting or strategy logic for generating buy/sell signals. As such, it does not assume specific commission, slippage, or account sizing parameters. Traders using this indicator should incorporate it into their existing strategies, applying their own risk management rules.
Risk Management Guidance:
Traders can use the shadow size labels to inform risk management decisions. For example, a large upper shadow (e.g., 8–10) at a resistance level may prompt a trader to set a tighter stop-loss above the candle’s high, anticipating a potential reversal. Conversely, a large lower shadow at a support level may suggest a wider stop-loss below the low to account for volatility.
Default settings (e.g., 2-day lookback, 9:00 AM start) are designed to focus on recent price action, which is suitable for intraday and short-term swing trading. Traders should combine the indicator with other tools (e.g., support/resistance levels, trendlines) to define risk limits, such as risking 5–10% of equity per trade.
The indicator does not enforce specific risk management settings, allowing traders to customize their approach based on their risk tolerance and trading style.
User Settings and Customization
The script includes the following user-customizable inputs:
Days Back (daysBack = 2):
Description: Controls the lookback period for displaying shadow size labels. The default value of 2 means labels are shown for candles within the last two days.
Impact: Increasing daysBack extends the time window for label display, which may be useful for longer-term analysis but could clutter the chart. Decreasing it focuses on more recent data, ideal for intraday trading.
Start Hour (startHour = 9) and Start Minute (startMinute = 0):
Description: Defines the start time of the trading day (default is 9:00 AM). Labels are only shown for candles after this time each day within the lookback period.
Impact: Traders can adjust these settings to align with their preferred trading session (e.g., 9:30 AM for U.S. market open). Changing the start time shifts the time window for label display, affecting which candles are analyzed.
These settings allow traders to tailor the indicator to their trading timeframe and session preferences, ensuring that the shadow size labels remain relevant to their analysis.
Visualizations and Chart Setup
The indicator plots the following elements on the chart:
Heikin Ashi Candles:
Plotted using plotcandle(haOpen, haClose, haHigh, haLow), these candles overlay the standard price chart.
Color Coding: Green candles indicate bullish momentum (Heikin Ashi close ≥ open), while red candles indicate bearish momentum (Heikin Ashi close < open).
These candles provide a smoothed view of price trends, making it easier to identify trend direction and continuations.
Shadow Size Labels:
Upper Shadow Labels: Displayed above each candle at the Heikin Ashi high, showing the normalized upper shadow size (1–10). These labels are green with white text and use the label.style_label_down style for clear visibility.
Lower Shadow Labels: Displayed below each candle at the Heikin Ashi low, showing the normalized lower shadow size (1–10). These labels are red with white text and use the label.style_label_up style.
Labels are only shown for candles within the last two days from 9:00 AM, ensuring that only recent and relevant data is visualized.
Debugging Labels (Optional):
A blue label at the bottom of the chart displays the text "Upper: Lower: " for each candle, showing both shadow sizes for debugging purposes. This can be removed or commented out if not needed, as it is primarily for development use.
The visualizations are designed to be minimal and focused, ensuring that traders can quickly interpret the Heikin Ashi trend and shadow size metrics without unnecessary clutter. The use of color-coded candles and labels enhances readability, while the time-based filtering keeps the chart clean and relevant.
Information Asymmetry Gradient (IAG) What is the Information Asymmetry Gradient (IAG)?
The Information Asymmetry Gradient (IAG) is a unique market regime and imbalance detector that quantifies the subtle, directional “information flow” in price and volume. Inspired by information theory and market microstructure, IAG is designed to help traders spot the early buildup of conviction or surprise—the kind of hidden imbalance that often precedes major price moves.
Unlike traditional volume or momentum indicators, IAG focuses on the efficiency and directionality of information transfer: how much “informational energy” is being revealed by up-moves versus down-moves, normalized by price movement. It’s not just about net flow, but about the quality and asymmetry of that flow.
Theoretical Foundation
Information Asymmetry: Markets move when new information is revealed. If one side (buyers or sellers) is consistently more “informationally efficient” per unit of price change, an imbalance is building—even if price hasn’t moved much yet.
Gradient: By tracking the rate of change (gradient) between fast and slow information flows, IAG highlights when a subtle imbalance is accelerating.
Volatility of Asymmetry: Sudden spikes in the volatility of information asymmetry often signal regime uncertainty or the approach of a “surprise” move.
How IAG Works
Directional Information Content: For each bar, IAG estimates the “information per unit of price change” for both up-moves and down-moves, using volume and price action.
Asymmetry Calculation: Computes the difference (or ratio) between up and down information content, revealing directional bias.
Gradient Detection: Calculates both a fast and slow EMA of the asymmetry, then measures their difference (the “gradient”), normalized as a Z-score.
Volatility of Asymmetry: Tracks the standard deviation of asymmetry over a rolling window, with Z-score normalization to spot “information shocks.”
Flow Strength: Quantifies the conviction of the current information flow on a 0–100 scale.
Regime Detection: Flags “extreme” asymmetry, “building” flow, and “high volatility” states.
Inputs:
🌌 Core Asymmetry Parameters
Fast Information Period (short_len, default 8): EMA period for detecting immediate information flow changes.
5–8: Scalping (1–5min)
8–12: Day trading (15min–1hr)
12–20: Swing trading (4hr+)
Slow Information Period (long_len, default 34): EMA period for baseline information context. Should be 3–5x fast period.
Default (34): Fibonacci number, stable for most assets.
Gradient Smoothing (gradient_smooth, default 3): Smooths the gradient calculation.
1–2: Raw, responsive
3–5: Balanced
6–10: Very smooth
📊 Asymmetry Method
Calculation Mode (calc_mode, default "Weighted"):
“Simple”: Basic volume split by direction
“Weighted”: Volume × price movement (default, most robust)
“Logarithmic”: Log-scaled for large moves
Use Ratio (show_ratio, default false):
“Difference”: UpInfo – DownInfo (additive)
“Ratio”: UpInfo / DownInfo (multiplicative, better for comparing volatility regimes)
🌊 Volatility Analysis
Volatility Window (stdev_len, default 21): Lookback for measuring asymmetry volatility.
Volatility Alert Level (vol_threshold, default 1.5): Z-score threshold for volatility alerts.
🎨 Visual Settings
Color Theme (color_theme, default "Starry Night"):
Van Gogh-inspired palettes:
“Starry Night”: Deep blues and yellows
“Sunflowers”: Warm yellows and browns
“Café Terrace”: Night blues and warm lights
“Wheat Field”: Golden and sky blue
Show Swirl Effects (show_swirls, default true): Adds swirling background to visualize information turbulence.
Show Signal Stars (show_stars, default true): Star markers at significant asymmetry points.
Show Info Dashboard (show_dashboard, default true): Top-right panel with current metrics and market state.
Show Flow Visualization (show_flow, default true): Main gradient line with artistic effects.
Color Schemes
Dynamic color gradients adapt to both the direction and intensity of the information gradient, using Van Gogh-inspired palettes for visual clarity and artistic flair.
Glow and aura effects: The main line is layered with glows for depth and to highlight strong signals.
Swirl background: Visualizes the “turbulence” of information flow, darker and more intense as flow strength and volatility rise.
Visual Logic
Main Gradient Line: Plots the normalized information gradient (Z-score), color-coded by direction and intensity.
Glow/Aura: Multiple layers for visual depth and to highlight strong signals.
Threshold Zones: Dotted lines and filled areas mark “Building” and “Extreme” asymmetry zones.
Volatility Ribbon: Area plot of volatility Z-score, highlighting information shocks.
Signal Stars: Circular markers at each “Extreme” event, color-coded for bullish/bearish; cross markers for volatility spikes.
Dashboard: Top-right panel shows current status (Extreme, Building, High Volatility, Balanced), gradient value, flow strength, information balance, and volatility status.
Trading Guide: Bottom-left panel explains all states and how to interpret them.
How to Use IAG
🌟 EXTREME: Major information imbalance—potential for explosive move or reversal.
🌙 BUILDING: Asymmetry is forming—watch for a breakout or trend acceleration.
🌪️ HIGH VOLATILITY: Information flow is unstable—expect regime uncertainty or “surprise” moves.
☁️ BALANCED: No clear bias—market is in equilibrium.
Positive Gradient: Bullish information flow (buyers have the edge).
Negative Gradient: Bearish information flow (sellers have the edge).
Flow >66%: Strong conviction—crowd is acting in unison.
Volatility Spike: Regime uncertainty—be alert for sudden moves.
Tips:
- Use lower periods for scalping, higher for swing trading.
- “Weighted” mode is most robust for most assets.
- Combine with price action or your own system for confirmation.
- Works on all assets and timeframes—tune to your style.
Alerts
IAG Extreme Asymmetry: Extreme information asymmetry detected.
IAG Building Flow: Information flow building.
IAG High Volatility: Information volatility spike.
IAG Bullish/Bearish Extreme: Directional extreme detected.
Originality & Usefulness
IAG is not a mashup of existing indicators. It is a novel approach to quantifying the “surprise” or “conviction” element in market moves, focusing on the efficiency and directionality of information transfer per unit of price change. The multi-layered color logic, artistic visual effects, and regime dashboard are unique to this script. IAG is designed for anticipation, not confirmation—helping you see subtle imbalances before they become obvious in price.
Chart Info
Script Name: Information Asymmetry Gradient (IAG) – Starry Night
Recommended Use: Any asset, any timeframe. Tune parameters to your style.
Disclaimer
This script is for research and educational purposes only. It does not provide financial advice or direct buy/sell signals. Always use proper risk management and combine with your own strategy. Past performance is not indicative of future results.
Trade with insight. Trade with anticipation.
— Dskyz , for DAFE Trading Systems
PhenLabs - Market Fluid Dynamics📊 Market Fluid Dynamics -
Version: PineScript™ v6
📌 Description
The Market Fluid Dynamics - Phen indicator is a new thinking regarding market analysis by modeling price action, volume, and volatility using a fluid system. It attempts to offer traders control over more profound market forces, such as momentum (speed), resistance (thickness), and buying/selling pressure. By visualizing such dynamics, the script allows the traders to decide on the prevailing market flow, its power, likely continuations, and zones of calmness and chaos, and thereby allows improved decision-making.
This measure avoids the usual difficulty of reconciling multiple, often contradictory, market indications by including them within a single overarching model. It moves beyond traditional binary indicators by providing a multi-dimensional view of market behavior, employing fluid dynamic analogs to describe complex interactions in an accessible manner.
🚀 Points of Innovation
Integrated Fluid Dynamics Model: Combines velocity, viscosity, pressure, and turbulence into a single indicator.
Normalized Metrics: Uses ATR and other normalization techniques for consistent readings across different assets and timeframes.
Dynamic Flow Visualization: Main flow line changes color and intensity based on direction and strength.
Turbulence Background: Visually represents market stability with a gradient background, from calm to turbulent.
Comprehensive Dashboard: Provides an at-a-glance summary of key fluid dynamic metrics.
Multi-Layer Smoothing: Employs several layers of EMA smoothing for a clearer, more responsive main flow line.
🔧 Core Components
Velocity Component: Measures price momentum (first derivative of price), normalized by ATR. It indicates the speed and direction of price changes.
Viscosity Component: Represents market resistance to price changes, derived from ATR relative to its historical average. Higher viscosity suggests it’s harder for prices to move.
Pressure Component: Quantifies the force created by volume and price range (close - open), normalized by ATR. It reflects buying or selling pressure.
Turbulence Detection: Calculates a Reynolds number equivalent to identify market stability, ranging from laminar (stable) to turbulent (chaotic).
Main Flow Indicator: Combines the above components, applying sensitivity and smoothing, to generate a primary signal of market direction and strength.
🔥 Key Features
Advanced Smoothing Algorithm: Utilizes multiple EMA layers on the raw flow calculation for a fluid and responsive main flow line, reducing noise while maintaining sensitivity.
Gradient Flow Coloring: The main flow line dynamically changes color from light to deep blue for bullish flow and light to deep red for bearish flow, with intensity reflecting flow strength. This provides an immediate visual cue of market sentiment and momentum.
Turbulence Level Background: The chart background changes color based on calculated turbulence (from calm gray to vibrant orange), offering an intuitive understanding of market stability and potential for erratic price action.
Informative Dashboard: A customizable on-screen table displays critical metrics like Flow State, Flow Strength, Market Viscosity, Turbulence, Pressure Force, Flow Acceleration, and Flow Continuity, allowing traders to quickly assess current market conditions.
Configurable Lookback and Sensitivity: Users can adjust the base lookback period for calculations and the sensitivity of the flow to viscosity, tailoring the indicator to different trading styles and market conditions.
Alert Conditions: Pre-defined alerts for flow direction changes (positive/negative crossover of zero line) and detection of high turbulence states.
🎨 Visualization
Main Flow Line: A smoothed line plotted below the main chart, colored blue for bullish flow and red for bearish flow. The intensity of the color (light to dark) indicates the strength of the flow. This line crossing the zero line can signal a change in market direction.
Zero Line: A dotted horizontal line at the zero level, serving as a baseline to gauge whether the market flow is positive (bullish) or negative (bearish).
Turbulence Background: The indicator pane’s background color changes based on the calculated turbulence level. A calm, almost transparent gray indicates low turbulence (laminar flow), while a more vibrant, semi-transparent orange signifies high turbulence. This helps traders visually assess market stability.
Dashboard Table: An optional table displayed on the chart, showing key metrics like ‘Flow State’, ‘Flow Strength’, ‘Market Viscosity’, ‘Turbulence’, ‘Pressure Force’, ‘Flow Acceleration’, and ‘Flow Continuity’ with their current values and qualitative descriptions (e.g., ‘Bullish Flow’, ‘Laminar (Stable)’).
📖 Usage Guidelines
Setting Categories
Show Dashboard - Default: true; Range: true/false; Description: Toggles the visibility of the Market Fluid Dynamics dashboard on the chart. Enable to see key metrics at a glance.
Base Lookback Period - Default: 14; Range: 5 - (no upper limit, practical limits apply); Description: Sets the primary lookback period for core calculations like velocity, ATR, and volume SMA. Shorter periods make the indicator more sensitive to recent price action, while longer periods provide a smoother, slower signal.
Flow Sensitivity - Default: 0.5; Range: 0.1 - 1.0 (step 0.1); Description: Adjusts how much the market viscosity dampens the raw flow. A lower value means viscosity has less impact (flow is more sensitive to raw velocity/pressure), while a higher value means viscosity has a greater dampening effect.
Flow Smoothing - Default: 5; Range: 1 - 20; Description: Controls the length of the EMA smoothing applied to the main flow line. Higher values result in a smoother flow line but with more lag; lower values make it more responsive but potentially noisier.
Dashboard Position - Default: ‘Top Right’; Range: ‘Top Right’, ‘Top Left’, ‘Bottom Right’, ‘Bottom Left’, ‘Middle Right’, ‘Middle Left’; Description: Determines the placement of the dashboard on the chart.
Header Size - Default: ‘Normal’; Range: ‘Tiny’, ‘Small’, ‘Normal’, ‘Large’, ‘Huge’; Description: Sets the text size for the dashboard header.
Values Size - Default: ‘Small’; Range: ‘Tiny’, ‘Small’, ‘Normal’, ‘Large’; Description: Sets the text size for the metric values in the dashboard.
✅ Best Use Cases
Trend Identification: Identifying the dominant market flow (bullish or bearish) and its strength to trade in the direction of the prevailing trend.
Momentum Confirmation: Using the flow strength and acceleration to confirm the conviction behind price movements.
Volatility Assessment: Utilizing the turbulence metric to gauge market stability, helping to adjust position sizing or avoid choppy conditions.
Reversal Spotting: Watching for divergences between price and flow, or crossovers of the main flow line above/below the zero line, as potential reversal signals, especially when combined with changes in pressure or viscosity.
Swing Trading: Leveraging the smoothed flow line to capture medium-term market swings, entering when flow aligns with the desired trade direction and exiting when flow weakens or reverses.
Intraday Scalping: Using shorter lookback periods and higher sensitivity to identify quick shifts in flow and turbulence for short-term trading opportunities, particularly in liquid markets.
⚠️ Limitations
Lagging Nature: Like many indicators based on moving averages and lookback periods, the main flow line can lag behind rapid price changes, potentially leading to delayed signals.
Whipsaws in Ranging Markets: During periods of low volatility or sideways price action (high viscosity, low flow strength), the indicator might produce frequent buy/sell signals (whipsaws) as the flow oscillates around the zero line.
Not a Standalone System: While comprehensive, it should be used in conjunction with other forms of analysis (e.g., price action, support/resistance levels, other indicators) and not as a sole basis for trading decisions.
Subjectivity in Interpretation: While the dashboard provides quantitative values, the interpretation of “strong” flow, “high” turbulence, or “significant” acceleration can still have a subjective element depending on the trader’s strategy and risk tolerance.
💡 What Makes This Unique
Fluid Dynamics Analogy: Its core strength lies in translating complex market interactions into an intuitive fluid dynamics framework, making concepts like momentum, resistance, and pressure easier to visualize and understand.
Market View: Instead of focusing on a single aspect (like just momentum or just volatility), it integrates multiple factors (velocity, viscosity, pressure, turbulence) to provide a more comprehensive picture of market conditions.
Adaptive Visualization: The dynamic coloring of the flow line and the turbulence background provide immediate, adaptive visual feedback that changes with market conditions.
🔬 How It Works
Price Velocity Calculation: The indicator first calculates price velocity by measuring the rate of change of the closing price over a given ‘lookback’ period. The raw velocity is then normalized by the Average True Range (ATR) of the same lookback period. Normalization enables comparison of momentum between assets or timeframes by scaling for volatility. This is the direction and speed of initial price movement.
Viscosity Calculation: Market ‘viscosity’ or resistance to price movement is determined by looking at the current ATR relative to its longer-term average (SMA of ATR over lookback * 2). The further the current ATR is above its average, the lower the viscosity (less resistance to price movement), and vice-versa. The script inverts this relationship and bounds it so that rising viscosity means more resistance.
Pressure Force Measurement: A ‘pressure’ variable is calculated as a function of the ratio of current volume to its simple moving average, multiplied by the price range (close - open) and normalized by ATR. This is designed to measure the force behind price movement created by volume and intraday price thrusts. This pressure is smoothed by an EMA.
Turbulence State Evaluation: A equivalent ‘Reynolds number’ is calculated by dividing the absolute normalized velocity by the viscosity. This is the proclivity of the market to move in a chaotic or orderly fashion. This ‘reynoldsValue’ is smoothed with an EMA to get the ‘turbulenceState’, which indicates if the market is laminar (stable), transitional, or turbulent.
Main Flow Derivation: The ‘rawFlow’ is calculated by taking the normalized velocity, dampening its impact based on the ‘viscosity’ and user-input ‘sensitivity’, and orienting it by the sign of the smoothed ‘pressureSmooth’. The ‘rawFlow’ is then put through multiple layers of exponential moving average (EMA) smoothing (with ‘smoothingLength’ and derived values) to reach the final ‘mainFlow’ line. The extensive smoothing is designed to give a smooth and clear visualization of the overall market direction and magnitude.
Dashboard Metrics Compilation: Additional metrics like flow acceleration (derivative of mainFlow), and flow continuity (correlation between close and volume) are calculated. All primary components (Flow State, Strength, Viscosity, Turbulence, Pressure, Acceleration, Continuity) are then presented in a user-configurable dashboard for ease of monitoring.
💡 Note:
The “Market Fluid Dynamics - Phen” indicator is designed to offer a unique perspective on market behavior by applying principles from fluid dynamics. It’s most effective when used to understand the underlying forces driving price rather than as a direct buy/sell signal generator in isolation. Experiment with the settings, particularly the ‘Base Lookback Period’, ‘Flow Sensitivity’, and ‘Flow Smoothing’, to find what best suits your trading style and the specific asset you are analyzing. Always combine its insights with robust risk management practices.
SuperSmoothed Volume Zone Oscillator------------------------------------------------------------------------------------
SUPERSMOOTHED VOLUME ZONE OSCILLATOR (SSVZO)
TECHNICAL INDICATOR DOCUMENTATION
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Table of Contents:
1. Original VZO Background
2. SuperSmoother Technology
3. SSVZO Components
3.1. Main SSVZO Oscillator
3.2. Momentum Velocity Component
3.3. Adaptive Levels
3.4. Static Levels
3.5. Trend Shift Detection
3.6. Glow Effect Visualization
4. References & Further Reading
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1. ORIGINAL VOLUME ZONE OSCILLATOR (VZO) BACKGROUND
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Creator: Walid Khalil (November 2009, Technical Analysis of Stocks & Commodities)
History: Khalil designed the VZO to address limitations in other volume indicators
by focusing on the relative balance between buying and selling volume while filtering
out market noise. The indicator identifies accumulation and distribution patterns.
Traditional Usage: The classic VZO uses a 14-period calculation setting and is
interpreted on a scale from -60% to +60%:
- Readings above +40% indicate strong buying pressure (potential overbought)
- Readings below -40% indicate strong selling pressure (potential oversold)
- The zero line acts as a key reference for trend changes
- Divergences between VZO and price offer valuable trading signals
Difference from Other Volume Indicators: Unlike simple volume indicators that only
track total volume, the VZO tracks the relative difference between up-volume and
down-volume, more effectively identifying buying/selling pressure imbalances and
potential reversal points.
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2. SUPERSMOOTHER FILTER TECHNOLOGY
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Creator: John F. Ehlers, an engineer specializing in digital signal processing for
trading systems.
Origins: Introduced in "Rocket Science for Traders" (2001) and refined in "Cybernetic
Analysis for Stocks and Futures" (2004). Represents the application of digital signal
processing techniques to financial markets.
Technical Foundation: The SuperSmoother is a two-pole low-pass filter specifically
designed to eliminate noise while preserving the underlying signal. It combines
principles of Butterworth and Gaussian filters to minimize both phase shift and
passband ripple.
Mathematical Implementation:
a1 = exp(-π * sqrt(2) / period)
b1 = 2 * a1 * cos(sqrt(2) * π / period)
c2 = b1
c3 = -a1²
c1 = 1 - c2 - c3
Advantages Over Traditional Filters:
- Reduces lag compared to simple moving averages
- Eliminates high-frequency market noise more effectively
- Minimizes unwanted ripples in the output signal
- Preserves important turning points in the data
- Superior handling of sudden market movements
According to Ehlers: "Conventional moving averages are plagued by excessive lag and/or
rippling in their passband. The SuperSmoother eliminates virtually all of this ripple
and has excellent transient response characteristics." (TASC Magazine, 2014)
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3. SSVZO COMPONENTS
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3.1. MAIN SSVZO OSCILLATOR
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Description: The core component measuring buying vs. selling volume pressure using
the SuperSmoother filter for enhanced noise reduction.
Calculation: SSVZO analyzes the relationship between up-volume (volume on rising
prices) and down-volume (volume on falling prices), applying exponential moving
averages to both components, then calculating their relative strength. The
SuperSmoother filter reduces market noise while preserving the underlying trend signal.
Implementation Advantage: By applying the SuperSmoother filter to the VZO calculation,
the SSVZO provides significantly cleaner signals with fewer false crossovers and more
accurate identification of true trend changes.
Interpretation:
- Values above zero indicate bullish volume dominance
- Values below zero indicate bearish volume dominance
- Readings above +60 suggest overbought conditions
- Readings below -60 suggest oversold conditions
- Crossovers of the zero line signal potential trend changes
Trading Application: Use SSVZO as a primary volume-based momentum indicator to
confirm price trends, identify divergences, and spot potential reversal zones.
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3.2. MOMENTUM VELOCITY COMPONENT
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Description: A histogram displaying the rate of change of momentum, showing how
quickly buying or selling pressure is accelerating or decelerating.
Calculation: Derived from price momentum over a user-defined period, with optional
adaptive filtering that adjusts sensitivity based on market volatility. The velocity
component shows the first derivative of momentum – essentially the "acceleration" of
market movement.
Technical Origin: Inspired by Ehlers' work on Hilbert Transforms and research on
cyclic components in financial markets, as detailed in "Cycle Analytics for Traders"
(2013).
Interpretation:
- Positive readings (teal bars) indicate accelerating upward momentum
- Negative readings (orange bars) suggest accelerating downward momentum
- Larger bars indicate stronger momentum acceleration
- Shrinking bars signal momentum deceleration
Trading Application: Use as an early warning system for potential trend exhaustion
or confirmation of a new trending move. When momentum velocity diverges from price,
it often precedes a reversal.
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3.3. ADAPTIVE LEVELS
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Description: Dynamic overbought and oversold boundaries that adjust to market
conditions, providing context-aware trading signals.
Calculation: Uses statistical methods based on the standard deviation of the SSVZO
values over a longer period. These levels automatically widen during higher volatility
periods and narrow during consolidation.
Research Base: Draws from Perry Kaufman's work on Adaptive Moving Averages (AMA) and
Bollinger's research on dynamic volatility bands, as published in "Trading Systems
and Methods" (2013).
Interpretation:
- Adaptive Overbought (dotted circles above): Dynamic ceiling that expands/contracts
based on market volatility
- Adaptive Oversold (dotted circles below): Dynamic floor that expands/contracts based
on market volatility
Trading Application: More reliable for identifying extremes than static levels,
particularly in changing market conditions or different instruments. Touching these
levels often provides higher-probability reversal signals.
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3.4. STATIC LEVELS
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Description: Fixed overbought and oversold horizontal lines that provide consistent
reference points for excess market conditions.
Calculation: Preset at +60 (overbought) and -60 (oversold) based on historical
analysis of volume behavior across multiple markets, extending the classic VZO range.
Interpretation:
- Readings above +60 suggest potential buying exhaustion
- Readings below -60 indicate potential selling exhaustion
- Duration spent beyond these levels correlates with reversal probability
Trading Application: Use as baseline reference points for extreme conditions. Most
effective when combined with other confirmation signals like divergences or
candlestick patterns.
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3.5. TREND SHIFT DETECTION
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Description: Visual markers and optional background shading highlighting potential
trend changes when the SSVZO crosses the zero line.
Calculation: Based on mathematical crossovers of the SSVZO value above or below the
zero line, with pattern recognition to reduce false signals.
Research Foundation: Incorporates concepts from Dr. Alexander Elder's "triple screen
trading system" and Mark Chaikin's volume-based trend identification research.
Interpretation:
- Upward triangles indicate bullish trend shifts (SSVZO crossing above zero)
- Downward triangles indicate bearish trend shifts (SSVZO crossing below zero)
- Background shading emphasizes the new trend direction
Trading Application: These signals often precede price trend changes and can serve
as entry triggers when aligned with the higher timeframe trend.
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3.6. GLOW EFFECT VISUALIZATION
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Description: An aesthetic enhancement creating a gradient "glow" around the main SSVZO
line, improving visual clarity and emphasizing signal strength.
Calculation: Generated using percentage-based bands around the main SSVZO value, with
multiple translucent layers to create a subtle illumination effect.
Design Inspiration: Inspired by modern UI/UX design principles for financial
dashboards and the MATS (Moving Average Trend Sniper) indicator's visual presentation,
enhancing perception of signal strength through visual intensity.
Interpretation:
- Teal glow indicates positive SSVZO values (bullish)
- Orange glow indicates negative SSVZO values (bearish)
- Glow intensity correlates with the strength of the signal
Trading Application: Beyond aesthetics, the glow creates visual emphasis that makes
trend direction, strength, and changes more immediately apparent, particularly useful
during fast-moving market conditions.
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4. REFERENCES & FURTHER READING
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1. Ehlers, J. F. (2001). "Rocket Science for Traders: Digital Signal Processing
Applications." John Wiley & Sons.
2. Ehlers, J. F. (2004). "Cybernetic Analysis for Stocks and Futures: Cutting-Edge
DSP Technology to Improve Your Trading." John Wiley & Sons.
3. Ehlers, J. F. (2013). "Cycle Analytics for Traders: Advanced Technical Trading
Concepts." John Wiley & Sons.
4. Khalil, W. (2009). "The Volume Zone Oscillator." Technical Analysis of Stocks &
Commodities, November 2009.
5. Kaufman, P. J. (2013). "Trading Systems and Methods." 5th Edition, Wiley Trading.
6. Elder, A. (2002). "Come Into My Trading Room: A Complete Guide to Trading."
John Wiley & Sons.
7. Bollinger, J. (2002). "Bollinger on Bollinger Bands." McGraw-Hill Education.
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END OF DOCUMENTATION
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