ATR%指標概要 / Overview
ATR Percentage (MTF)：把 ATR 轉為百分比（ATR%）或保留為絕對值，並在該「波動序列」上套用布林帶。支援多週期（MTF）計算：例如在 5 分圖顯示 4H / D1 的 ATR%。內建白色點狀水平線作為固定門檻（預設 1%）。
ATR Percentage (MTF): Converts ATR to a percentage of price (ATR%) or keeps it as absolute ATR, then applies Bollinger Bands on this volatility series. Supports multi-timeframe (MTF) calculation (e.g., show 4H/D1 ATR% on a 5-min chart). Includes a configurable white dotted horizontal threshold line (default 1%).
⸻
設計目的 / Purpose
• 以 ATR% 衡量相對波動，利於跨品種比較。
Use ATR% for relative volatility to compare across markets.
• 以 布林帶 標示「高/低波動區」，觀察擴張與壓縮。
Use Bollinger Bands on volatility to highlight expansion/squeeze.
• 提供 固定閾值（1%） 作為策略濾網或告警門檻。
Provide a fixed threshold (1%) for filters/alerts.
• 以 MTF 方式，讓低週期策略用高週期波動做濾網。
MTF lets lower-TF strategies filter by higher-TF volatility.
⸻
參數說明 / Inputs
• Use ATR as % of Close：切換 ATR（絕對值）/ ATR%（建議）。
Toggle between absolute ATR and ATR% (recommended).
• ATR Periods：ATR 計算長度（預設 22）。
ATR lookback (default 22).
• Show Bollinger Bands / BB Periods / StdDev：布林帶開關、長度與倍數（預設 20 / 2）。
Bollinger Bands on/off, length, and deviation (default 20 / 2).
• Source Timeframe：計算用週期（如 60、240、D、W；留空/Chart ＝ 跟隨圖表）。
Timeframe used for calculations (e.g., 60, 240, D, W; empty/“Chart” = current).
• Threshold Line (%)：白色點線門檻，預設 1.0（即 1%）。
White dotted threshold line, default 1.0 (1%).
提醒：當 非 ATR% 模式時，Threshold 值代表「價格單位」而非百分比。
Note: In non-ATR% mode, the threshold is in price units, not percent.
⸻
訊號解讀 / How to Read
• ATR% > 上軌：波動顯著擴張（趨勢啟動或加速常見）。
ATR% above upper band: significant expansion; often trend ignition/acceleration.
• ATR% < 下軌：波動明顯壓縮（常見於突破前）。
ATR% below lower band: volatility squeeze; often precedes breakouts.
• ATR% 穿越 Threshold（1%）：達到固定波動標準，可作策略開關或風控分水嶺。
ATR% crossing the 1% threshold: fixed volatility bar for filters/risk gates.
⸻
內建告警 / Built-in Alerts
• Volatility Breakout (MTF)：ATR/ATR% 向上穿越上軌。
Triggers when ATR/ATR% crosses above the upper band.
• Volatility Squeeze (MTF)：ATR/ATR% 向下穿越下軌。
Triggers when ATR/ATR% crosses below the lower band.
⸻
使用建議 / Suggested Uses
• 當沖濾網：於 1–5 分圖選擇 4H / D1 作為 Source Timeframe；僅在 ATR% > 1% 且位於中線以上時允許趨勢進場。
Intraday filter: on 1–5m charts, set 4H/D1 as source TF; allow trend entries only when ATR% > 1% and above the midline.
• 突破前偵測：ATR% 長時間貼近下軌 → 留意可能的波動擴張。
Pre-breakout scan: prolonged ATR% near lower band can foreshadow expansion.
• 跨品種比較：用 ATR% 統一指數、外匯、商品的波動刻度。
Cross-asset comparison: ATR% normalizes volatility across indices/FX/commodities.
⸻
已知限制 / Notes
• MTF 對齊：使用 request.security() 對映高週期資料到當前圖表；在歷史回補與即時邊界棒可能略有差異。
MTF alignment: request.security() maps higher-TF data; boundary bars may differ slightly between historical and realtime.
• 百分比分母：ATR% 的分母為同一週期的 close；若需更平滑可改 ATR / SMA(close, N) × 100。
Denominator: ATR% uses same-TF close; for smoother values consider ATR / SMA(close, N) × 100.
• 風險聲明：僅供研究/教育用途，非投資建議，請自行控管風險。
Disclaimer: For research/education only. Not investment advice.
⸻
版本與更新 / Version & Updates
• v1.0：ATR/ATR% + BB（MTF）、1% 白色點線、兩組告警。
v1.0: ATR/ATR% + BB (MTF), 1% white dotted line, two alert conditions.
Cerca negli script per "20蒙古币兑换人民币"
Mutanabby_AI __ OSC+ST+SQZMOMMutanabby_AI OSC+ST+SQZMOM: Multi-Component Trading Analysis Tool
Overview
The Mutanabby_AI OSC+ST+SQZMOM indicator combines three proven technical analysis components into a unified trading system, providing comprehensive market analysis through integrated oscillator signals, trend identification, and volatility assessment.
Core Components
Wave Trend Oscillator (OSC): Identifies overbought and oversold market conditions using exponential moving average calculations. Key threshold levels include overbought zones at 60 and 53, with oversold areas marked at -60 and -53. Crossover signals between the two oscillator lines generate entry opportunities, displayed as colored circles on the chart for easy identification.
Supertrend Indicator (ST): Determines overall market direction using Average True Range calculations with a 2.5 factor and 10-period ATR configuration. Green lines indicate confirmed uptrends while red lines signal downtrend conditions. The indicator automatically adapts to market volatility changes, providing reliable trend identification across different market environments.
Squeeze Momentum (SQZMOM): Compares Bollinger Bands with Keltner Channels to identify consolidation periods and potential breakout scenarios. Black squares indicate squeeze conditions representing low volatility periods, green triangles signal confirmed upward breakouts, and red triangles mark downward breakout confirmations.
Signal Generation Logic
Long Entry Conditions:
Green triangles from Squeeze Momentum component
Supertrend line transitioning to green
Bullish crossovers in Wave Trend Oscillator from oversold territory
Short Entry Conditions:
Red triangles from Squeeze Momentum component
Supertrend line transitioning to red
Bearish crossovers in Wave Trend Oscillator from overbought territory
Automated Risk Management
The indicator incorporates comprehensive risk management through ATR-based calculations. Stop losses are automatically positioned at 3x ATR distance from entry points, while three progressive take profit targets are established at 1x, 2x, and 3x ATR multiples respectively. All risk management levels are clearly displayed on the chart using colored lines and informative labels.
When trend direction changes, the system automatically clears previous risk levels and generates new calculations, ensuring all risk parameters remain current and relevant to existing market conditions.
Alert and Notification System
Comprehensive alert framework includes trend change notifications with complete trade setup details, squeeze release alerts for breakout opportunity identification, and trend weakness warnings for active position management. Alert messages contain specific trading pair information, timeframe specifications, and all relevant entry and exit level data.
Implementation Guidelines
Timeframe Selection: Higher timeframes including 4-hour and daily charts provide the most reliable signals for position trading strategies. One-hour charts demonstrate good performance for day trading applications, while 15-30 minute timeframes enable scalping approaches with enhanced risk management requirements.
Risk Management Integration: Limit individual trade risk to 1-2% of total capital using the automatically calculated stop loss levels for precise position sizing. Implement systematic profit-taking at each target level while adjusting stop loss positions to protect accumulated gains.
Market Volatility Adaptation: The indicator's ATR-based calculations automatically adjust to changing market volatility conditions. During high volatility periods, risk management levels appropriately widen, while low volatility conditions result in tighter risk parameters.
Optimization Techniques
Combine indicator signals with fundamental support and resistance level analysis for enhanced signal validation. Monitor volume patterns to confirm breakout strength, particularly when Squeeze Momentum signals develop. Maintain awareness of scheduled economic events that may influence market behavior independent of technical indicator signals.
The multi-component design provides internal signal confirmation through multiple alignment requirements, significantly reducing false signal occurrence while maintaining reasonable trade frequency for active trading strategies.
Technical Specifications
The Wave Trend Oscillator utilizes customizable channel length (default 10) and average length (default 21) parameters for optimal market sensitivity. Supertrend calculations employ ATR period of 10 with factor multiplier of 2.5 for balanced signal quality. Squeeze Momentum analysis uses Bollinger Band length of 20 periods with 2.0 multiplication factor, combined with Keltner Channel length of 20 periods and 1.5 multiplication factor.
Conclusion
The Mutanabby_AI OSC+ST+SQZMOM indicator provides a systematic approach to technical market analysis through the integration of proven oscillator, trend, and momentum components. Success requires thorough understanding of each element's functionality and disciplined implementation of proper risk management principles.
Practice with demo trading accounts before live implementation to develop familiarity with signal interpretation and trade management procedures. The indicator's systematic approach effectively reduces emotional decision-making while providing clear, objective guidelines for trade entry, management, and exit strategies across various market conditions.
Standard Deviation BandsStandard Deviation Bands
คำอธิบายอินดิเคเตอร์:
อินดิเคเตอร์ SD Bands (Standard Deviation Bands) เป็นเครื่องมือวิเคราะห์ทางเทคนิคที่ออกแบบมาเพื่อวัดความผันผวนของราคาและระบุโอกาสในการเทรดที่อาจเกิดขึ้น อินดิเคเตอร์นี้จะแสดงผลเป็นเส้นขอบ 2 เส้นบนกราฟราคาโดยตรง โดยอ้างอิงจากค่าเฉลี่ยเคลื่อนที่ (Moving Average) และค่าส่วนเบี่ยงเบนมาตรฐาน (Standard Deviation)
* เส้นบน (Upper Band): แสดงระดับที่ราคาเคลื่อนไหวสูงกว่าค่าเฉลี่ย
* เส้นล่าง (Lower Band): แสดงระดับที่ราคาเคลื่อนไหวต่ำกว่าค่าเฉลี่ย
ความกว้างของช่องระหว่างเส้นทั้งสองบ่งบอกถึงระดับความผันผวนของตลาดในปัจจุบัน
วิธีการใช้งานอย่างละเอียด:
คุณสามารถนำอินดิเคเตอร์ SD Bands ไปประยุกต์ใช้ได้หลายวิธีเพื่อประกอบการตัดสินใจ ดังนี้:
1. การใช้เป็นแนวรับ-แนวต้านแบบไดนามิก (Dynamic Support & Resistance)
* แนวรับ: เมื่อราคาวิ่งลงมาแตะหรือเข้าใกล้เส้นล่าง (เส้นสีน้ำเงิน) เส้นนี้อาจทำหน้าที่เป็นแนวรับชั่วคราวและมีโอกาสที่ราคาจะเด้งกลับขึ้นไปหาเส้นกลาง
* แนวต้าน: เมื่อราคาวิ่งขึ้นไปแตะหรือเข้าใกล้เส้นบน (เส้นสีแดง) เส้นนี้อาจทำหน้าที่เป็นแนวต้านชั่วคราวและมีโอกาสที่ราคาจะย่อตัวลงมา
2. การวัดความผันผวนและสัญญาณ Breakout
* ช่วงตลาดสงบ (Low Volatility): เมื่อเส้น SD ทั้งสองเส้นบีบตัวเข้าหากันเป็นช่องที่แคบมาก (คล้ายกับ Bollinger Squeeze) แสดงว่าตลาดมีความผันผวนต่ำมาก ซึ่งมักจะเป็นสัญญาณว่ากำลังจะเกิดการเคลื่อนไหวครั้งใหญ่ (Breakout)
* ช่วงตลาดเป็นเทรนด์ (High Volatility): เมื่อเส้น SD ขยายตัวกว้างออกอย่างรวดเร็ว พร้อมกับที่ราคาวิ่งอยู่นอกขอบ แสดงว่าตลาดเข้าสู่ช่วงเทรนด์ที่แข็งแกร่งและมีโมเมนตัมสูง
3. สัญญาณการกลับตัว (Reversal Signals)
* เมื่อราคาปิดแท่งเทียน นอกเส้น SD Bands อย่างชัดเจน (โดยเฉพาะหลังจากที่เทรนด์นั้นดำเนินมานาน) อาจเป็นสัญญาณว่าแรงซื้อ/แรงขายเริ่มอ่อนกำลังลง และมีโอกาสที่จะเกิดการกลับตัวของราคาในไม่ช้า
การตั้งค่าอินพุต (Input Parameters):
* ระยะเวลา (Length): กำหนดจำนวนแท่งเทียนที่ใช้ในการคำนวณค่าเฉลี่ยและ SD
* 20: สำหรับการวิเคราะห์ระยะสั้นถึงกลาง
* 50 หรือ 100: สำหรับการวิเคราะห์ระยะยาว
* ตัวคูณ (Multiplier): กำหนดระยะห่างของเส้น SD จากค่าเฉลี่ย
* 1.0 - 2.0: เส้นจะอยู่ใกล้ราคามากขึ้น ทำให้เกิดสัญญาณบ่อยขึ้น
* 2.0 - 3.0: เส้นจะอยู่ห่างจากราคามากขึ้น ทำให้เกิดสัญญาณที่น่าเชื่อถือมากขึ้น แต่จะเกิดไม่บ่อย
ข้อควรระวังและคำเตือน:
* อินดิเคเตอร์นี้เป็นเพียง เครื่องมือวิเคราะห์ เพื่อช่วยในการตัดสินใจ ไม่ใช่สัญญาณการซื้อขายที่ถูกต้อง 100%
* ควรใช้ร่วมกับเครื่องมืออื่นๆ เช่น RSI, MACD, หรือ Volume เพื่อยืนยันสัญญาณ
* การเทรดมีความเสี่ยงสูง ควรบริหารจัดการความเสี่ยงและตั้งจุด Stop Loss ทุกครั้ง
คุณสามารถใช้โครงสร้างนี้ในการเขียนโพสต์บน TradingView ได้เลยนะครับ ขอให้ประสบความสำเร็จกับการโพสต์อินดิเคเตอร์ของคุณครับ!
English
Standard Deviation Bands
Indicator Description:
The SD Bands (Standard Deviation Bands) indicator is a powerful technical analysis tool designed to measure price volatility and identify potential trading opportunities. The indicator displays two dynamic bands directly on the price chart, based on a moving average and a customizable standard deviation multiplier.
* Upper Band: Indicates price levels above the moving average.
* Lower Band: Indicates price levels below the moving average.
The width of the channel between these two bands provides a clear picture of current market volatility.
Detailed User Guide:
You can use SD Bands in several ways to enhance your trading decisions:
1. Dynamic Support and Resistance:
These bands can act as dynamic support and resistance levels.
* Support: When the price moves down and touches or approaches the lower band, it can act as support, offering the possibility of a rebound to the average.
* Resistance: When the price moves up and touches or approaches the upper band, it can act as resistance, offering the possibility of a rebound.
2. Volatility Measurement and Breakout Signals:
* Low Volatility (Squeeze): When the two bands converge and form a narrow channel. Indicates very low market volatility. This condition often occurs before significant price movements or breakouts.
* High Volatility (Expansion): When the bands expand and widen rapidly, it indicates that the market is entering a period of strong trending momentum with high momentum.
3. Reversal Signals:
* When the price closes significantly outside the SD Bands (especially after a long-term trend), it may signal that the current momentum has expired and a reversal may be imminent.
Input Parameters:
The indicator's parameters are fully customizable to suit your trading style:
* Length: Defines the number of bars used to calculate the moving average and standard deviation.
* 20: Suitable for short- to medium-term analysis.
* 50 or 100: Suitable for long-term trend analysis.
* Multiplier: Adjusts the sensitivity of the signal bars.
* 1.0 - 2.0: Creates narrower signal bars, leading to more frequent signals.
* 2.0 - 3.0: Creates wider signal bars, providing fewer but potentially more significant signals.
Important Warning:
* This indicator is an analytical tool only. It does not provide guaranteed buy or sell signals.
* Always use it in conjunction with other indicators (such as RSI, MACD, and Volume) for confirmation.
* Trading involves high risk. Proper risk management, including the use of stop-loss orders, is recommended.
You can use this structure for your posts on TradingView. Good luck with your indicators!
ai quant oculusAI QUANT OCULUS
Version 1.0 | Pine Script v6
Purpose & Innovation
AI QUANT OCULUS integrates four distinct technical concepts—exponential trend filtering, adaptive smoothing, momentum oscillation, and Gaussian smoothing—into a single, cohesive system that delivers clear, objective buy and sell signals along with automatically plotted stop-loss and three profit-target levels. This mash-up goes beyond a simple EMA crossover or standalone TRIX oscillator by requiring confluence across trend, adaptive moving averages, momentum direction, and smoothed price action, reducing false triggers and focusing on high‐probability turning points.
How It Works & Why Its Components Matter
Trend Filter: EMA vs. Adaptive MA
EMA (20) measures the prevailing trend with fixed sensitivity.
Adaptive MA (also EMA-based, length 10) approximates a faster-responding moving average, standing in for a KAMA-style filter.
Bullish bias requires AMA > EMA; bearish bias requires AMA < EMA. This ensures signals align with both the underlying trend and a more nimble view of recent price action.
Momentum Confirmation: TRIX
Calculates a triple-smoothed EMA of price over TRIX Length (15), then converts it to a percentage rate-of-change oscillator.
Positive TRIX reinforces bullish entries; negative TRIX reinforces bearish entries. Using TRIX helps filter whipsaws by focusing on sustained momentum shifts.
Gaussian Price Smoother
Applies two back-to-back 5-period EMAs to the price (“gaussian” smoothing) to remove short-term noise.
Price above the smoothed line confirms strength for longs; below confirms weakness for shorts. This layer avoids entries on erratic spikes.
Confluence Signals
Buy Signal (isBull) fires only when:
AMA > EMA (trend alignment)
TRIX > 0 (momentum support)
Close > Gaussian (price strength)
Sell Signal (isBear) fires under the inverse conditions.
Requiring all three conditions simultaneously sharply reduces false triggers common to single-indicator systems.
Automatic Risk & Reward Plotting
On each new buy or sell signal (edge detection via not isBull or not isBear ), the script:
Stores entryPrice at the signal bar’s close.
Draws a stop-loss line at entry minus ATR(14) × Stop Multiplier (1.5) by default.
Plots three profit-target lines at entry plus ATR × Target Multiplier (1×, 1.5×, and 2×).
All previous labels and lines are deleted on each new signal, keeping the chart uncluttered and focusing only on the current trade.
Inputs & Customization
Input Description Default
EMA Length Period for the main trend EMA 20
Adaptive MA Length Period for the faster adaptive EM A substitute 10
TRIX Length Period for the triple-smoothed momentum oscillator 15
Dominant Cycle Length (Reserved) 40
Stop Multiplier ATR multiple for stop-loss distance 1.5
Target Multiplier ATR multiple for first profit target 1.5
Show Buy/Sell Signals Toggle on-chart labels for entry signals On
How to Use
Apply to Chart: Best on 15 m–1 h timeframes for swing entries or 5 m for agile scalps.
Wait for Full Confluence:
Look for the AMA to cross above/below the EMA and verify TRIX and Gaussian conditions on the same bar.
A bright “LONG” or “SHORT” label marks your entry.
Manage the Trade:
Place your stop where the red or green SL line appears.
Scale or exit at the three yellow TP1/TP2/TP3 lines, automatically drawn by volatility.
Repeat Cleanly: Each new signal clears prior annotations, ensuring you only track the active setup.
Why This Script Stands Out
Multi-Layer Confluence: Trend, momentum, and noise-reduction must all align, addressing the weaknesses of single-indicator strategies.
Automated Trade Management: No manual plotting—stop and target lines appear seamlessly with each signal.
Transparent & Customizable: All logic is open, adjustable, and clearly documented, allowing traders to tweak lengths and multipliers to suit different instruments.
Disclaimer
No indicator guarantees profit. Always backtest AI QUANT OCULUS extensively, combine its signals with your own analysis and risk controls, and practice sound money management before trading live.
Correlation HeatMap [TradingFinder] Sessions Data Science Stats🔵 Introduction
n financial markets, correlation describes the statistical relationship between the price movements of two assets and how they interact over time. It plays a key role in both trading and investing by helping analyze asset behavior, manage portfolio risk, and understand intermarket dynamics. The Correlation Heatmap is a visual tool that shows how the correlation between multiple assets and a central reference asset (the Main Symbol) changes over time.
It supports four market types forex, stocks, crypto, and a custom mode making it adaptable to different trading environments. The heatmap uses a color-coded grid where warmer tones represent stronger negative correlations and cooler tones indicate stronger positive ones. This intuitive color system allows traders to quickly identify when assets move together or diverge, offering real-time insights that go beyond traditional correlation tables.
🟣 How to Interpret the Heatmap Visually ?
Each cell represents the correlation between the main symbol and one compared asset at a specific time.
Warm colors (e.g. red, orange) suggest strong negative correlation as one asset rises, the other tends to fall.
Cool colors (e.g. blue, green) suggest strong positive correlation both assets tend to move in the same direction.
Lighter shades indicate weaker correlations, while darker shades indicate stronger correlations.
The heatmap updates over time, allowing users to detect changes in correlation during market events or trading sessions.
One of the standout features of this indicator is its ability to overlay global market sessions such as Tokyo, London, New York, or major equity opens directly onto the heatmap timeline. This alignment lets traders observe how correlation structures respond to real-world session changes. For example, they can spot when assets shift from being inversely correlated to moving together as a new session opens, potentially signaling new momentum or macro flow. The customizable symbol setup (including up to 20 compared assets) makes it ideal not only for forex and crypto traders but also for multi-asset and sector-based stock analysis.
🟣 Use Cases and Advantages
Analyze sector rotation in equities by tracking correlation to major indices like SPX or DJI.
Monitor altcoin behavior relative to Bitcoin to find early entry opportunities in crypto markets.
Detect changes in currency alignment with DXY across trading sessions in forex.
Identify correlation breakdowns during market volatility, signaling possible new trends.
Use correlation shifts as confirmation for trade setups or to hedge multi-asset exposure
🔵 How to Use
Correlation is one of the core concepts in financial analysis and allows traders to understand how assets behave in relation to one another. The Correlation Heatmap extends this idea by going beyond a simple number or static matrix. Instead, it presents a dynamic visual map of how correlations shift over time.
In this indicator, a Main Symbol is selected as the reference point for analysis. In standard modes such as forex, stocks, or crypto, the symbol currently shown on the main chart is automatically used as the main symbol. This allows users to begin correlation analysis right away without adjusting any settings.
The horizontal axis of the heatmap shows time, while the vertical axis lists the selected assets. Each cell on the heatmap shows the correlation between that asset and the main symbol at a given moment.
This approach is especially useful for intermarket analysis. In forex, for example, tracking how currency pairs like OANDA:EURUSD EURUSD, FX:GBPUSD GBPUSD, and PEPPERSTONE:AUDUSD AUDUSD correlate with TVC:DXY DXY can give insight into broader capital flow.
If these pairs start showing increasing positive correlation with DXY say, shifting from blue to light green it could signal the start of a new phase or reversal. Conversely, if negative correlation fades gradually, it may suggest weakening relationships and more independent or volatile movement.
In the crypto market, watching how altcoins correlate with Bitcoin can help identify ideal entry points in secondary assets. In the stock market, analyzing how companies within the same sector move in relation to a major index like SP:SPX SPX or DJ:DJI DJI is also a highly effective technique for both technical and fundamental analysts.
This indicator not only visualizes correlation but also displays major market sessions. When enabled, this feature helps traders observe how correlation behavior changes at the start of each session, whether it's Tokyo, London, New York, or the opening of stock exchanges. Many key shifts, breakouts, or reversals tend to happen around these times, and the heatmap makes them easy to spot.
Another important feature is the market selection mode. Users can switch between forex, crypto, stocks, or custom markets and see correlation behavior specific to each one. In custom mode, users can manually select any combination of symbols for more advanced or personalized analysis. This makes the heatmap valuable not only for forex traders but also for stock traders, crypto analysts, and multi-asset strategists.
Finally, the heatmap's color-coded design helps users make sense of the data quickly. Warm colors such as red and orange reflect stronger negative correlations, while cool colors like blue and green represent stronger positive relationships. This simplicity and clarity make the tool accessible to both beginners and experienced traders.
🔵 Settings
Correlation Period: Allows you to set how many historical bars are used for calculating correlation. A higher number means a smoother, slower-moving heatmap, while a lower number makes it more responsive to recent changes.
Select Market: Lets you choose between Forex, Stock, Crypto, or Custom. In the first three options, the chart’s active symbol is automatically used as the Main Symbol. In Custom mode, you can manually define the Main Symbol and up to 20 Compared Symbols.
Show Open Session: Enables the display of major trading sessions such as Tokyo, London, New York, or equity market opening hours directly on the timeline. This helps you connect correlation shifts with real-world market activity.
Market Mode: Lets you select whether the displayed sessions relate to the forex or stock market.
🔵 Conclusion
The Correlation Heatmap is a robust and flexible tool for analyzing the relationship between assets across different markets. By tracking how correlations change in real time, traders can better identify alignment or divergence between symbols and gain valuable insights into market structure.
Support for multiple asset classes, session overlays, and intuitive visual cues make this one of the most effective tools for intermarket analysis.
Whether you’re looking to manage portfolio risk, validate entry points, or simply understand capital flow across markets, this heatmap provides a clear and actionable perspective that you can rely on.
simple trend Scanner Dashboard Script Does
- Calculates key metrics:
- Percent Change from previous day
- Relative Volume (% vs 10-bar average)
- RSI and ADX for strength/trend
- 20 EMA for dynamic support/resistance
- Classifies market condition:
- 🟢 Strong if RSI > 60 and ADX > 25
- 🔴 Weak if RSI < 40 and ADX < 20
- ⚪ Neutral otherwise
- Displays a table dashboard:
- Compact, color-coded summary of all metrics
- Easy to scan visually
- Plots visual signals:
- Arrows and triangles for percent change and volume spikes
- Data window plots for deeper inspection
KRMJ MAoverlays four moving averages on a TradingView chart to help traders identify trend direction, momentum shifts, and dynamic support or resistance levels. It includes a 9-period EMA, 21-period EMA, 20-period SMA, and a 200-period EMA. Each moving average serves a specific role: the 9 EMA responds quickly to price changes and highlights short-term momentum; the 21 EMA smooths out price action slightly more and confirms near-term trends. The 20 SMA provides a simple mid-range trend baseline often used in mean-reversion strategies or range-bound environments. The 200 EMA, a widely recognized long-term trend filter, helps users gauge the dominant market direction.
Smooth Cloud + RSI Liquidity Spectrum + Zig Zag Volume ProfileSmooth Cloud + RSI Liquidity Spectrum + Zig Zag++ Volume Profile" Indicator
| Advanced Trend & Liquidity Analysis.
---
📌 Key Features & Enhancements (Zig Zag++)
This advanced indicator combines **trend-following moving averages, RSI momentum with liquidity factors, and an improved Zig Zag++ algorithm with volume profiling** for precise swing detection.
🔹 Zig Zag++ Upgrades:
✅ **Dynamic Reversal Detection** – Adapts to volatility using percentage-based pivots.
✅ **Volume-Weighted Swing Points** – Highlights high-liquidity turning points.
✅ **Multi-Timeframe Confirmation** – Uses historical pivots for stronger signals.
✅ **Volume Profile Clustering** – Reveals key support/resistance zones based on traded volume.
---
📊 Indicator Components Breakdown
1️⃣ Smooth Cloud (Trend Filter)
- **Fast MA (20-period) & Slow MA (50-period)** – Configurable as EMA, SMA, or WMA.
- **Cloud Coloring** – Green when fast MA > slow MA (bullish), red otherwise (bearish).
- **Purpose**: Acts as a trend filter—only take trades in the direction of the cloud.
2️⃣ RSI Liquidity Spectrum (Momentum + Volume)
- **RSI (14-period default)** – Standard momentum oscillator.
- **Liquidity-Adjusted Momentum** = `(RSI + ROC(RSI,3)) * (Volume / SMA(Volume, RSI Length))`
- **Purpose**: Identifies overbought/oversold conditions with volume confirmation (high volume = stronger signal).
3️⃣ Zig Zag++ (Swing Detection & Volume Profiling)
📈 Zig Zag Logic:**
- **Percentage-Based Reversals** (default: 5%) – Only plots swings exceeding this threshold.
- **Pivot Tracking** – Stores price & bar index of each swing point in arrays.
- **Dynamic Line Drawing** – Connects swing points with yellow trendlines.
📊 Volume Profile at Swings:
- **Lookback Period** (200 bars default) – Analyzes volume distribution between Zig Zag turns.
- **10-Price Bin Clustering** – Splits the price range into 10 levels and calculates traded volume at each.
- **Transparency Scaling** – Higher volume zones appear darker (stronger support/resistance).
---
🎯 Step-by-Step Trading Strategies
📈 Strategy 1: Trend-Following with RSI Liquidity Confirmation**
1. **Enter Long** when:
- Smooth Cloud is **green** (fast MA > slow MA).
- RSI Liquidity Momentum crosses above **30** (bullish momentum + volume).
- Price pulls back to the **Volume Profile high-volume zone** (demand area).
2. **Enter Short** when:
- Smooth Cloud is **red** (fast MA < slow MA).
- RSI Liquidity Momentum crosses below **70** (bearish momentum + volume).
- Price rallies into the **Volume Profile high-volume zone** (supply area).
3. **Exit** when:
- Zig Zag++ detects a new reversal (5% move against position).
- RSI Liquidity Momentum crosses back mid-level (50).
---
📉 Strategy 2: Swing Trading with Zig Zag++ Pivots**
1. **Buy at Swing Lows** when:
- Zig Zag++ prints a **higher low** (bullish structure).
- Volume Profile shows **strong absorption** (high volume at the low).
- RSI Liquidity Momentum is rising from oversold (<30).
2. **Sell at Swing Highs** when:
- Zig Zag++ prints a **lower high** (bearish structure).
- Volume Profile shows **distribution** (high volume at the top).
- RSI Liquidity Momentum is falling from overbought (>70).
3. **Stop Loss**:
- Below the recent Zig Zag low (for longs).
- Above the recent Zig Zag high (for shorts).
---
📌 Additional Enhancements (Pro Tips)**
- **Combine with Higher Timeframe (HTF) Cloud** – Use a 4H/1D cloud to filter trades.
- **Divergence Detection** – Hidden bullish/bearish divergences between Zig Zag & RSI Liquidity.
- **Volume Spike Confirmation** – Only trade if volume exceeds SMA(volume, 20) at reversal points.
---
🚀 Conclusion
This **all-in-one indicator** provides:
✔ **Trend direction** (Smooth Cloud)
✔ **Momentum + Liquidity strength** (RSI Spectrum)
✔ **Precise swing points** (Zig Zag++)
✔ **Volume-based S/R zones** (Profile Clustering)
Best used on **15M-4H timeframes** for swing/day trading. Adjust parameters based on asset volatility.
MSTY-WNTR Rebalancing SignalMSTY-WNTR Rebalancing Signal
## Overview
The **MSTY-WNTR Rebalancing Signal** is a custom TradingView indicator designed to help investors dynamically allocate between two YieldMax ETFs: **MSTY** (YieldMax MSTR Option Income Strategy ETF) and **WNTR** (YieldMax Short MSTR Option Income Strategy ETF). These ETFs are tied to MicroStrategy (MSTR) stock, which is heavily influenced by Bitcoin's price due to MSTR's significant Bitcoin holdings.
MSTY benefits from upward movements in MSTR (and thus Bitcoin) through a covered call strategy that generates income but caps upside potential. WNTR, on the other hand, provides inverse exposure, profiting from MSTR declines but losing in rallies. This indicator uses Bitcoin's momentum and MSTR's relative strength to signal when to hold MSTY (bullish phases), WNTR (bearish phases), or stay neutral, aiming to optimize returns by switching allocations at key turning points.
Inspired by strategies discussed in crypto communities (e.g., X posts analyzing MSTR-linked ETFs), this indicator promotes an active rebalancing approach over a "set and forget" buy-and-hold strategy. In simulated backtests over the past 12 months (as of August 4, 2025), the optimized version has shown potential to outperform holding 100% MSTY or 100% WNTR alone, with an illustrative APY of ~125% vs. ~6% for MSTY and ~-15% for WNTR in one scenario.
**Important Disclaimer**: This is not financial advice. Past performance does not guarantee future results. Always consult a financial advisor. Trading involves risk, and you could lose money. The indicator is for educational and informational purposes only.
## Key Features
- **Momentum-Based Signals**: Uses a Simple Moving Average (SMA) on Bitcoin's price to detect bullish (price > SMA) or bearish (price < SMA) trends.
- **RSI Confirmation**: Incorporates MSTR's Relative Strength Index (RSI) to filter signals, avoiding overbought conditions for MSTY and oversold for WNTR.
- **Visual Cues**:
- Green upward triangle for "Hold MSTY".
- Red downward triangle for "Hold WNTR".
- Yellow cross for "Switch" signals.
- Background color: Green for MSTY, red for WNTR.
- **Information Panel**: A table in the top-right corner displays real-time data: BTC Price, SMA value, MSTR RSI, and current Allocation (MSTY, WNTR, or Neutral).
- **Alerts**: Configurable alerts for holding MSTY, holding WNTR, or switching.
- **Optimized Parameters**: Defaults are tuned (SMA: 10 days, RSI: 15 periods, Overbought: 80, Oversold: 20) based on simulations to reduce whipsaws and capture trends effectively.
## How It Works
The indicator's logic is straightforward yet effective for volatile assets like Bitcoin and MSTR:
1. **Primary Trigger (Bitcoin Momentum)**:
- Calculate the SMA of Bitcoin's closing price (default: 10-day).
- Bullish: Current BTC price > SMA → Potential MSTY hold.
- Bearish: Current BTC price < SMA → Potential WNTR hold.
2. **Secondary Filter (MSTR RSI Confirmation)**:
- Compute RSI on MSTR stock (default: 15-period).
- For bullish signals: If RSI > Overbought (80), signal Neutral (avoid overextended rallies).
- For bearish signals: If RSI < Oversold (20), signal Neutral (avoid capitulation bottoms).
3. **Allocation Rules**:
- Hold 100% MSTY if bullish and not overbought.
- Hold 100% WNTR if bearish and not oversold.
- Neutral otherwise (e.g., during choppy or extreme markets) – consider holding cash or avoiding trades.
4. **Rebalancing**:
- Switch signals trigger when the hold changes (e.g., from MSTY to WNTR).
- Recommended frequency: Weekly reviews or on 5% BTC moves to minimize trading costs (aim for 4-6 trades/year).
This approach leverages Bitcoin's influence on MSTR while mitigating the risks of MSTY's covered call drag during downtrends and WNTR's losses in uptrends.
## Setup and Usage
1. **Chart Requirements**:
- Apply this indicator to a Bitcoin chart (e.g., BTCUSD on Binance or Coinbase, daily timeframe recommended).
- Ensure MSTR stock data is accessible (TradingView supports it natively).
2. **Adding to TradingView**:
- Open the Pine Editor.
- Paste the script code.
- Save and add to your chart.
- Customize inputs if needed (e.g., adjust SMA/RSI lengths for different timeframes).
3. **Interpretation**:
- **Green Background/Triangle**: Allocate 100% to MSTY – Bitcoin is in an uptrend, MSTR not overbought.
- **Red Background/Triangle**: Allocate 100% to WNTR – Bitcoin in downtrend, MSTR not oversold.
- **Yellow Switch Cross**: Rebalance your portfolio immediately.
- **Neutral (No Signal)**: Panel shows "Neutral" – Hold cash or previous position; reassess weekly.
- Monitor the panel for key metrics to validate signals manually.
4. **Backtesting and Strategy Integration**:
- Convert to a strategy script by changing `indicator()` to `strategy()` and adding entry/exit logic for automated testing.
- In simulations (e.g., using Python or TradingView's backtester), it has outperformed buy-and-hold in volatile markets by ~100-200% relative APY, but results vary.
- Factor in fees: ETF expense ratios (~0.99%), trading commissions (~$0.40/trade), and slippage.
5. **Risk Management**:
- Use with a diversified portfolio; never allocate more than you can afford to lose.
- Add stop-losses (e.g., 10% trailing) to protect against extreme moves.
- Rebalance sparingly to avoid over-trading in sideways markets.
- Dividends: Reinvest MSTY/WNTR payouts into the current hold for compounding.
## Performance Insights (Simulated as of August 4, 2025)
Based on synthetic backtests modeling the last 12 months:
- **Optimized Strategy APY**: ~125% (by timing switches effectively).
- **Hold 100% MSTY APY**: ~6% (gains from BTC rallies offset by downtrends).
- **Hold 100% WNTR APY**: ~-15% (losses in bull phases outweigh bear gains).
In one scenario with stronger volatility, the strategy achieved ~4533% APY vs. 10% for MSTY and -34% for WNTR, highlighting its potential in dynamic markets. However, these are illustrative; real results depend on actual BTC/MSTR movements. Test thoroughly on historical data.
## Limitations and Considerations
- **Data Dependency**: Relies on accurate BTC and MSTR data; delays or gaps can affect signals.
- **Market Risks**: Bitcoin's volatility can lead to false signals (whipsaws); the RSI filter helps but isn't perfect.
- **No Guarantees**: This indicator doesn't predict the future. MSTR's correlation to BTC may change (e.g., due to regulatory events).
- **Not for All Users**: Best for intermediate/advanced traders familiar with ETFs and crypto. Beginners should paper trade first.
- **Updates**: As of August 4, 2025, this is version 1.0. Future updates may include volume filters or EMA options.
If you find this indicator useful, consider leaving a like or comment on TradingView. Feedback welcome for improvements!
Blue Ocean BOATS 24/5 US Market DataThis script utilizes Blue Ocean's ATS (Alternative Trading System) and U.S. exchange market data to create a continuous candlestick chart. The continuous data has the option to be used as an indicator or strategy source.
Requirements
The main chart symbol (which can be unrelated to the user-input Ticker Symbol) needs to be a 24/7 chart. An example symbol is CRYPTO:BTCUSD. CME_MINI:ES1! and FX:SPX500 work too, but are not truly 24/5 and will miss ~4 hours of the total trading week from the extended U.S. session.
The main chart's timeframe needs to be intraday. Because the script's output is currently inconsistent on daily or higher timeframes, it will disable itself.
The Ticker Symbol chosen should be a ticker that is traded on U.S. exchanges. This will provide both U.S. extended session data and a BOATS equivalent.
Usage & configuration
This script visualizes the 24-hour Monday-Friday chart of a U.S. exchange ticker. Going a step further, it can be used to compare the performance indices or cryptocurrencies to stock constituents of indices, cryptocurrency treasury stocks or holding ETFs.
The script's output, candlesticks, can be overlaid on the main chart or used as is. A "Price Source" plot is used for indicators or strategies.
Ticker Symbol: The U.S. ticker you'd like to view extended session and Blue Ocean ATS session data for.
Price Source: Price source that can be used for indicators or strategies.
Highlight Sessions: Highlight the different trading sessions.
Last Price Line: Show a horizontal line at the last traded price.
Ticker Symbol Check: Plots a label that will display only if the selected Ticker Symbol is not detected as a U.S. exchange traded ticker.
Earnings Label: Creates a label at the time of past earnings of the chosen Ticker Symbol. The time that the earnings are plotted is approximate. Because of this, the label is meant as an explanation for price action.
What this script does and how it works
It creates OHLC candlesticks by merging Blue Ocean's ATS market data and U.S. exchange data. From the OHLC data of both, a single output can be used for indicators or strategies.
References and further information
www.tradingview.com
The Blue Ocean ATS allows trading from 20:00 to 4:00 Eastern Time, Sunday through Thursday. This critical timeframe bridges the eight-hour overnight gap when major U.S. exchanges are closed.
blueocean-tech.io
Blue Ocean ATS, LLC is a US broker dealer which operates the alternative trading system BOATS. Our trading platform offers electronic access, price discovery, compliant regulatory reporting requirements, and standard clearing and settlement processes.
www.nyse.com
Hours mentioned are in Eastern Time.
Overnight trading remains far less active than extended hours trading. The hour with the highest overnight volume is 9:00PM, which averages 2.94 million shares per day and coincides with several Asian market opens. This volume is a fraction of the last hour of extended hours trading, which averages 43.22 million shares. The first hour of pre-core reported volume averages 113.30 million shares per day.
Overnight executions, in addition to the peak in the 9:00PM hour, also exhibits a smaller peak at 3:00AM, of 2.35 million shares. This coincides with several Asian bourses’ end of their regular trading day.
Example of using the script in the main chart window and the difference in how RSI may be calculated.
Note: ATS is not the name of the 20:00 to 4:00 ET session itself, and the term refers to a broader definition of trading systems that include dark pools, which can be different.
24/5 Monday-Friday really means NY time Sunday night to Friday afternoon.
BTC 5M Scalper: 3EMA Reversal v1.6 Lite by AIOBest Timeframe: 5 minutes!!
Optimal Asset: BTC/USDT (Bitcoin)
Stop Placement: Below the signal candle's low (for long) / Above the signal candle's high (for short)
Risk/Reward: Minimum 1:2 ratio recommended
Description:
This 3EMA Reversal strategy identifies trend continuation signals using:
Fast EMA (20) and Slow EMA (50) crossover
Volume confirmation (above 20-period average)
Engulfing candle pattern
Built-in stop loss and take profit levels
Usage Instructions:
Apply to BTC/USDT 5-minute chart
Enter long when green triangle appears (stop below signal candle)
Enter short when red triangle appears (stop above signal candle)
TP levels are automatically calculated based on your RR setting
Pro Tip: Combine with 1-hour trend analysis for better results. The strategy works best in trending markets with above-average volume.
Hunting Bollinger Bands for scalping📌 Bollinger Band Reversal BUY/SELL Indicator
Name: Hunting Bollinger Bands for scalping
Purpose: Displays reversal signals for short-term scalping in range-bound markets.
Target Users: Scalpers and day traders, especially for trading Gold (XAU/USD).
Recommended Target: Works well for scalping approximately $3 price movements on Gold.
Core Logic:
Detects excessive price deviation using Bollinger Bands (±2σ).
Filters out excessive signals with a bar interval limiter.
Displays clear and simple BUY/SELL labels for entry timing.
📌 Signal Conditions
BUY
Price closes below the Lower Bollinger Band.
At least the specified number of bars has passed since the previous signal.
Displays a “BUY” label below the bar.
SELL
Price closes above the Upper Bollinger Band.
At least the specified number of bars has passed since the previous signal.
Displays a “SELL” label above the bar.
📌 Parameters
Parameter Description Default
Bollinger Band Length (bbLength) Period for Bollinger Band calculation 20
Standard Deviation (bbStdDev) Standard deviation multiplier for band width 2.0
Signal Interval (barLimit) Minimum bar interval to avoid repeated signals 10
📌 How to Use
Add the indicator to your chart; Bollinger Bands and BUY/SELL labels will appear.
When a signal appears, confirm price reaction and enter a scalp trade (around $3 for Gold is recommended).
Adjust the “Signal Interval (barLimit)” to control signal frequency.
Avoid using it during high-impact news events or strong trending markets.
📌 Best Market Conditions
Range-bound markets
Scalping small price movements (~$3)
Low-volatility sessions (e.g. Asian session for Gold)
📌 Notes
May generate frequent signals during strong trends, leading to potential losses.
Can be combined with other indicators (e.g. 200 MA, RSI, VWAP) for higher accuracy.
Signals are for reference only and should not be used as the sole trading decision factor.
📌 ボリンジャーバンド逆張りBUY/SELL インジケーター解説
名前：Hunting Bollinger Bands for scalping
目的：レンジ相場での短期的な反発を狙った逆張りシグナルを表示
対象ユーザー：スキャルピングやデイトレードで、特にゴールド(XAU/USD)での小幅な値動きを狙うトレーダー
推奨利幅：ゴールドでおよそ 3ドル前後 を目安にスキャルピングを行うと有効
メインロジック：
ボリンジャーバンド（±2σ）で過剰な価格乖離を検出
バー間隔フィルターで過剰シグナルを制御
BUY/SELLラベルで視覚的にシンプルなエントリーポイントを表示
📌 シグナル条件
BUY（買いシグナル）
現在価格が ボリンジャーバンド下限（Lower Band）を下回った時
前回シグナルから指定したバー数以上経過
この条件を満たした場合、ローソク足下に「BUY」ラベルを表示します。
SELL（売りシグナル）
現在価格が ボリンジャーバンド上限（Upper Band）を上回った時
前回シグナルから指定したバー数以上経過
この条件を満たした場合、ローソク足上に「SELL」ラベルを表示します。
📌 パラメータ
項目 説明 初期値
ボリンジャーバンド期間 (bbLength) ボリンジャーバンド計算の期間 20
標準偏差 (bbStdDev) バンド幅を決める標準偏差 2.0
シグナル間隔 (barLimit) シグナルの連続表示を防止する最小バー間隔 10
📌 使い方
インジケーターをチャートに追加すると、ボリンジャーバンドとBUY/SELLラベルが表示されます
シグナルが出たら、反発確認後にスキャルピングエントリー（ゴールドなら約3ドルを目安に）
「シグナル間隔（barLimit）」を調整して、シグナルの過剰表示を防ぐ
経済指標発表や強いトレンド発生時は使用を控える
📌 このインジケーターが向いている相場
レンジ相場
小さな値幅（約3ドル前後）を狙うスキャルピング
トレンドが弱い横ばいの時間帯（例：アジア時間のゴールドなど）
📌 注意点
強いトレンド相場では、逆張りシグナルが連続的に発生し、損切りが増える可能性あり
200MAやRSI、VWAPなど他の指標と組み合わせることで精度を高められる
シグナルは参考用であり、単独での売買判断は推奨されない
Patrón Mecha ProfundaThis pattern must be combined with a 20-period moving average. It is used to know the direction of the price. When the pattern appears and the price is above the 20-period moving average, it is a bullish signal and vice versa.
Patrón Mecha Profunda
This pattern must be combined with a 20-period moving average. It is used to know the direction of the price. When the pattern appears and the price is above the 20-period moving average, it is a bullish signal and vice versa.
ombs- PONY Breakout Alert
🧠 תקציר הסקריפט: **PONY Breakout Alert 📈
🔍 **מטרה**:
לזהות **פריצה מעלה של רמת 14.15** תוך כדי **מחזור מסחר גבוה מהממוצע**, כדי לאתר **הזדמנות מסחר שורית**.
---
⚙️ רכיבי הסקריפט:
* 📌 **רמת כניסה**:
`entryLevel = 14.15`
* 📊 **תנאי כניסה**:
* סגירת מחיר **מעל 14.15**
* נפח מסחר **גבוה ב־20% מהממוצע ל־20 הימים האחרונים**
* 🔔 **התראה ויזואלית**:
* סמל ירוק "Entry" מופיע מתחת לנר על הגרף
* קווים קבועים לרמות יעד וסטופלוס
* 🎯 **יעדי רווח**:
* Target 1 – 15.15
* Target 2 – 16.00
* Target 3 – 17.00
* 🛑 **סטופלוס**:
* שמרני: 13.20
* אגרסיבי: 12.80
* 🔔 **התראה אוטומטית** (`alertcondition`):
תשלח הודעה:
*"PONY פרצה מעל 14.15 עם מחזור גבוה – שקול כניסה לעסקה."*
---
📝 מתאים עבור:
* סוחרי ניתוח טכני 🧮
* מי שמחפש כניסה מבוססת על פריצה + נפח 📊
* שימוש על גרף יומי בלבד 📅
---
🧠 Script Summary: PONY Breakout Alert 📈
🔍 Objective:
Detect a breakout above the 14.15 level accompanied by high trading volume, in order to identify a bullish trading opportunity.
⚙️ Script Components:
📌 Entry Level:
entryLevel = 14.15
📊 Entry Conditions:
Price closes above 14.15
Volume is 20% higher than the 20-day average
🔔 Visual Alert:
A green "Entry" label appears below the bar on the chart
Static horizontal lines mark targets and stop-loss levels
🎯 Profit Targets:
Target 1 – 15.15
Target 2 – 16.00
Target 3 – 17.00
🛑 Stop Loss:
Conservative: 13.20
Aggressive: 12.80
🔔 Automated Alert (alertcondition):
Sends a message:
"PONY has broken above 14.15 with high volume – consider a long position."
📝 Ideal For:
Technical traders 🧮
Those seeking breakouts confirmed by volume 📊
Daily chart setups only 📅
MA Crossover Detector
The Moving Average Crossover Detector is a custom indicator that visually shows buy and sell signals clearly on the chart. based on the crossing of two moving averages — a popular and beginner-friendly tool in technical analysis.
It plots two moving averages — One fast (short period) and one slow (long period) — and highlights crossover points:
✅ Buy Signal (Golden Cross) – When the fast MA crosses above the slow MA.
❌ Sell Signal (Death Cross) – When the fast MA crosses below the slow MA.
✅ Features
Visual: Clearly shows crossovers on the chart.
Customizable: Choose periods, types, styles, etc.
Alert-ready: You can set alerts for crossovers.
The Moving Average (MA) Crossover Strategy is one of the simplest and most widely used strategies in technical analysis for trading stocks, forex, crypto, and other markets. It relies on the interaction between two moving averages to generate buy and sell signals.
Core Components
Short-Term Moving Average (Fast MA) : Reacts quickly to price changes (e.g., 9-period or 20-period).
Long-Term Moving Average (Slow MA) : Reacts more slowly to price changes (e.g., 21-period or 200-period).
How the Strategy Works
Bullish Crossover (Golden Cross):
Occurs when the fast MA crosses above the slow MA. Interpreted as a buy signal, indicating a potential uptrend.
Bearish Crossover (Death Cross):
Occurs when the fast MA crosses below the slow MA. Interpreted as a sell signal, indicating a potential downtrend.
Common Variants
Short-term trading
9 EMA
21 EMA
Swing trading
20 SMA
50 SMA
Long-term investing
50 SMA
200 SMA
Pros
Easy to understand and implement
Works well in trending markets
Can be automated for backtesting and execution
Cons
Lagging indicator: MAs are based on past prices, so signals come after the move has started.
Choppy markets = whipsaws: Generates false signals in sideways/range-bound conditions.
May underperform in volatile or mean-reverting environments
Tips for Improvement
Use confirmation tools : e.g., RSI, MACD, volume analysis, price action
Add filters : Trend filter (ADX), volatility filter (ATR), or time filter (session-based)
Combine with price structure : Support/resistance, breakouts, pullbacks
Candle Size Calculator# Candle Size Calculator
**A powerful position sizing tool that calculates optimal position sizes based on risk management and stop loss levels from historical candles.**
## 🎯 What it does
This indicator helps traders determine the exact position size for their trades by calculating the risk-to-reward ratio between the current price and stop loss levels from previous candles. Perfect for consistent risk management across all your trades.
## 📊 Key Features
- **Smart Position Sizing**: Automatically calculates position size based on your risk amount and distance to stop loss
- **Multiple Candle Analysis**: Analyze up to 20 previous candles to find optimal stop loss levels
- **Direction Support**: Works for both Long and Short positions
- **Clean Table Display**: Shows all calculations in an easy-to-read table format
## ⚙️ Settings
- **Number of Candles**: Choose how many previous candles to analyze (1-20)
- **Risk Amount**: Set your maximum risk per trade in dollars
- **Direction**: Select Long or Short trading direction
- **Table Position**: Choose from 6 different table positions (top/bottom + left/center/right)
- **Font Size**: Select from 5 font sizes (tiny to huge)
## 🎨 Visual Design
- Modern dark theme that matches TradingView's interface
- Color-coded text: Green for Long positions, Red for Short positions
- Clean, borderless design for minimal chart clutter
- Customizable positioning to fit your chart layout
## 📈 How it works
1. **Entry Price**: Always uses the current market price
2. **Stop Loss**:
- For Long positions: Uses the low of selected candles
- For Short positions: Uses the high of selected candles
3. **Position Size**: Calculated as Risk Amount ÷ |Current Price - Stop Price|
## 💡 Use Cases
- **Risk Management**: Maintain consistent risk across all trades
- **Position Sizing**: Never risk more than your predetermined amount
- **Stop Loss Planning**: Identify optimal stop loss levels from recent price action
- **Quick Analysis**: Instantly see position sizes for multiple stop loss scenarios
## 🚀 Perfect for
- Day traders who need quick position size calculations
- Swing traders planning entries with historical support/resistance
- Anyone practicing proper risk management
- Traders who want to automate position sizing calculations
---
*Clean, efficient, and essential for serious traders who prioritize risk management.*
4H Bollinger Breakout StrategyThis strategy leverages Bollinger Bands on the 4-hour timeframe for long and short trades in trending or ranging markets. Entries trigger on BB breakouts with optional filters for volume, trend, and RSI. Exits occur on opposite BB crosses. Customizable for long-only, short-only, or indicator mode via code comments. Supports forex, stocks, or crypto with full equity allocation and 0.1% commission.
Length (Default: 20): Period for BB basis and std dev; shorter for sensitivity, longer for smoothing.
Basis MA Type (Default: SMA): Selects MA for middle band (SMA, EMA, etc.); EMA for faster response.
Source (Default: Close): Price input for calculations; use close for standard accuracy.
StdDev Multiplier (Default: 1.8): Band width control; higher for fewer signals, lower for more.
Offset (Default: 0): Shifts BB plots; typically unchanged.
Use Filters (Default: True): Applies volume, trend, RSI checks to filter signals.
Volume MA Length (Default: 20): For volume filter (long: >105% avg, short: >120%).
Trend MA Length (Default: 80): SMA for trend filter (long: above MA, short: below).
RSI Length (Default: 14): For short filter (entry if RSI <85).
Use Long/Short Signals (Defaults: True): Toggles directions; long entry on lower BB crossover, short on upper crossunder.
Visuals: BB plots (blue basis, red upper, green lower), orange trend MA, filled background.
Labels/Alerts: Green/red for long entry/exit, yellow/purple for short; alert conditions included.
BUY in HASH RibbonsHash Ribbons Indicator (BUY Signal)
A TradingView Pine Script v6 implementation for identifying Bitcoin miner capitulation (“Springs”) and recovery phases based on hash rate data. It marks potential low-risk buying opportunities by tracking short- and long-term moving averages of the network hash rate.
⸻
Key Features
• Hash Rate SMAs
• Short-term SMA (default: 30 days)
• Long-term SMA (default: 60 days)
• Phase Markers
• Gray circle: Short SMA crosses below long SMA (start of capitulation)
• White circles: Ongoing capitulation, with brighter white when the short SMA turns upward
• Yellow circle: Short SMA crosses back above long SMA (end of capitulation)
• Orange circle: Buy signal once hash rate recovery aligns with bullish price momentum (10-day price SMA crosses above 20-day price SMA)
• Display Modes
• Ribbons: Plots the two SMAs as colored bands—red for capitulation, green for recovery
• Oscillator: Shows the percentage difference between SMAs as a histogram (red for negative, blue for positive)
• Optional Overlays
• Bitcoin halving dates (2012, 2016, 2020, 2024) with dashed lines and labels
• Raw hash rate data in EH/s
• Alerts
• Configurable alerts for capitulation start, recovery, and buy signals
⸻
How It Works
1. Data Source: Fetches daily hash rate values from a selected provider (e.g., IntoTheBlock, Quandl).
2. Capitulation Detection: When the 30-day SMA falls below the 60-day SMA, miners are likely capitulating.
3. Recovery Identification: A rising 30-day SMA during capitulation signals miner recovery.
4. Buy Signal: Confirmed when the hash rate recovery coincides with a bullish shift in price momentum (10-day price SMA > 20-day price SMA).
⸻
Inputs
Hash Rate Short SMA: 30 days
Hash Rate Long SMA: 60 days
Plot Signals: On
Plot Halvings: Off
Plot Raw Hash Rate: Off
⸻
Considerations
• Timeframe: Best applied on daily charts to capture meaningful miner behavior.
• Data Reliability: Ensure the chosen hash rate source provides consistent, gap-free data.
• Risk Management: Use alongside other technical indicators (e.g., RSI, MACD) and fundamental analysis.
• Backtesting: Evaluate performance over different market cycles before live deployment.
Smart Volatility Squeeze + Trend Filter📌 Purpose
This indicator detects volatility squeeze conditions when Bollinger Bands contract inside Keltner Channels and signals potential breakout opportunities.
It also includes an optional EMA-based trend filter to align signals with the dominant market direction.
🧠 How It Works
1. Squeeze Condition
Bollinger Bands (BB): Length = 20, StdDev = 2.0 (default)
Keltner Channels (KC): EMA Length = 20, ATR Multiplier = 1.5 (default)
Squeeze ON: Occurs when BB Upper < KC Upper and BB Lower > KC Lower (low volatility zone).
2. Breakout Signals
Long Breakout: Price crosses above BB Upper after squeeze.
Short Breakout: Price crosses below BB Lower after squeeze.
3. Trend Filter (optional)
EMA(50) used to confirm breakout direction:
Long signals allowed only if price > EMA(50)
Short signals allowed only if price < EMA(50)
Toggle Use Trend Filter to enable/disable.
4. Visual & Alerts
Green circle at chart bottom indicates Squeeze ON.
Green/Red triangles mark breakouts.
Background gradually brightens during squeeze buildup.
Alerts available for long and short breakouts.
📈 How to Use
Look for Squeeze ON → then wait for breakout arrows.
Trade in breakout direction, preferably with trend filter ON.
Works best on higher timeframes (1h, 4h, D) and trending markets.
Markets: Crypto, Forex, Stocks — effective in volatile assets.
⚙️ Inputs
BB Length / StdDev
KC EMA Length / ATR Multiplier
Use Trend Filter
Trend EMA Length
⚠️ Disclaimer
This script is for educational purposes only. It does not constitute financial advice.
Always test thoroughly before live trading.
Price Exhaustion Envelope [BackQuant]Price Exhaustion Envelope
Visual preview of the bands:
What it is
The Price Exhaustion Envelope (PEE) is a multi‑factor overextension detector wrapped inside a dynamic envelope framework. It measures how “tired” a move is by blending price stretch, volume surges, momentum and acceleration, plus optional RSI divergence. The result is a composite exhaustion score that drives both on‑chart signals and the adaptive width of three optional envelope bands around a smoothed baseline. When the score spikes above or below your chosen threshold, the script can flag exhaustion, paint candles, tint the background and fire alerts.
How it works under the hood
Exhaustion score
Price component: distance of close from its mean in standard deviation units.
Volume component: normalized volume pressure that highlights unusual participation.
Momentum component: rate of change and acceleration of price, scaled by their own volatility.
RSI divergence (optional): bullish and bearish divergences gently push the score lower or higher.
Mode control: choose Price, Volume, Momentum or Composite. Composite averages the main pieces for a balanced view.
Energy scale (0 to 100)
The composite score is pushed through a logistic transform to create an “energy” value. High energy (above 70 to 80) signals a move that may be running hot, while very low energy (below 20 to 30) points to exhaustion on the downside.
Envelope engine
Baseline: EMA of price over the main lookback length.
Width: base width is standard deviation times a multiplier.
Type selector:
• Static keeps the width fixed.
• Dynamic expands width in proportion to the absolute exhaustion score.
• Adaptive links width to the energy reading so bands breathe with market “heat.”
Smoothing: a short EMA on the width reduces jitter and keeps bands pleasant to trade around.
Band architecture
You can toggle up to three symmetric bands on each side of the baseline. They default to 1.0, 1.6 and 2.2 multiples of the smoothed width. Soft transparent fills create a layered thermograph of extension. The outermost band often maps to true blow‑off extremes.
On‑chart elements
Baseline line that flips color in real time depending on where price sits.
Up to three upper and lower bands with progressive opacity.
Triangle markers at fresh exhaustion triggers.
Tiny warning glyphs at extreme upper or lower breaches.
Optional bar coloring to visually tag exhausted candles.
Background halo when energy > 80 or < 20 for instant context.
A compact info table showing State, Score, Energy, Momentum score and where price sits inside the envelope (percent).
How to use it in trading
Mean reversion plays
When price pierces the outer band and an exhaustion marker prints, look for reversal candles or lower‑timeframe confirmation to fade the move back toward the baseline.
For conservative entries, wait for the composite score to roll back under the threshold or for energy to drop from extreme to neutral.
Set stops just beyond the extreme levels (use extreme_upper and extreme_lower as natural invalidation points). Targets can be the baseline or the opposite inner band.
Trend continuation with smart pullbacks
In strong trends, the first tag of Band 1 or Band 2 against the dominant direction often offers low‑risk continuation entries. Use energy readings: if energy is low on a pullback during an uptrend, a bounce is more likely.
Combine with RSI divergence: hidden bullish divergence near a lower band in an uptrend can be a powerful confirmation.
Breakout filtering
A breakout that occurs while the composite score is still moderate (not exhausted) has a higher chance of follow‑through. Skip signals when energy is already above 80 and price is punching the outer band, as the move may be late.
Watch env_position (Envelope %) in the table. Breakouts near 40 to 60 percent of the envelope are “healthy,” while those at 95 percent are stretched.
Scaling out and risk control
Use exhaustion alerts to trim positions into strength or weakness.
Trail stops just outside Band 2 or Band 3 to stay in trends while letting the envelope expand in volatile phases.
Multi‑timeframe confluence
Run the script on a higher timeframe to locate exhaustion context, then drill down to a lower timeframe for entries.
Opposite signals across timeframes (daily exhaustion vs. 5‑minute breakout) warn you to reduce size or tighten management.
Key inputs to experiment with
Lookback Period: larger values smooth the score and envelope, ideal for swing trading. Shorter values make it reactive for scalps.
Exhaustion Threshold: raise above 2.0 in choppy assets to cut noise, drop to 1.5 for smooth FX pairs.
Envelope Type: Dynamic is great for crypto spikes, Adaptive shines in stocks where volume and volatility wave together.
RSI Divergence: turn off if you prefer a pure price/volume model or if divergence floods the score in your asset.
Alert set included
Fresh upper exhaustion
Fresh lower exhaustion
Extreme upper breach
Extreme lower breach
RSI bearish divergence
RSI bullish divergence
Hook these to TradingView notifications so you get pinged the moment a move hits exhaustion.
Best practices
Always pair exhaustion signals with structure. Support and resistance, liquidity pools and session opens matter.
Avoid blindly shorting every upper signal in a roaring bull market. Let the envelope type help you filter.
Use the table to sanity‑check: a very high score but mid‑range env_position means the band may still be wide enough to absorb more movement.
Backtest threshold combinations on your instrument. Different tickers carry different volatility fingerprints.
Final note
Price Exhaustion Envelope is a flexible framework, not a turnkey system. It excels as a context layer that tells you when the crowd is pressing too hard or when a move still has fuel. Combine it with sound execution tactics, risk limits and market awareness. Trade safe and let the envelope breathe with the market.
Current Hourly Open Liquidity with Sweep DetectionStatistics indicate that if the current hourly candle reaches the high or low of the previous hourly candle, there is a strong likelihood that the price will return to the current hour's open, depending on how quickly the previous hour's high or low was swept. If the sweep occurs within the first 20 minutes, there is a 75% chance the current hour's open will be reached; if it takes between 21 and 40 minutes, the probability decreases to 50%; and if it takes longer than 41 minutes, the chance drops to 25%.
These statistics can help identify manipulation on the hourly timeframe and guide trade decisions accordingly. For instance, if the previous hourly high is taken within the first 20 minutes but the current hour's open is not reached, it may be wise to avoid long positions until it happens or consider short positions in the direction of the open liquidity, using your existing entry rules and risk management.
The indicator highlights the current hour's open with a line and label to visually represent that liquidity pool, adjusting the line's color based on whether and when the previous hour's high or low was tapped. Once the open is reached, the indicator can, depending on settings, remove the line and label from the chart (this is enabled by default) since the liquidity pool is no longer relevant, preventing chart clutter.
All colors, line widths, label text sizes, and colors can be customized.
Momentum Reversal StrategyBEST USE IN 15MIN TIME FRAME EURUSD / XAUSUD
1. Strategy Overview
This strategy hunts short-term momentum reversals at key levels during high-liquidity sessions.
Timeframes: 5-minute for entries; 15-minute for trend context
Sessions: London for EUR/USD & GBP/USD; New York for XAU/USD
Pairs: EUR/USD, GBP/USD, XAU/USD
Indicators (3 max):
EMA(20) and EMA(50) (close)
MACD (12, 26, 9) histogram
Optional: RSI(14) (for divergence filter)
2. Entry Rules
Trend Filter (15 min):
Long only if EMA20 > EMA50; short only if EMA20 < EMA50.
Price-Action Zone (5 min):
Identify recent swing high/low within past 20 bars.
Draw horizontal support (for longs) or resistance (for shorts).
Indicator Alignment (5 min):
MACD histogram crossing from negative to positive for longs, positive to negative for shorts.
Candle close beyond EMA20 in direction of trade.
Candle Confirmation:
Bullish engulfing or hammer at support for longs; bearish engulfing or shooting star at resistance for shorts.
Entry Execution:
Place market order on candle close that meets all above.
3. Exit Rules
Stop-Loss (SL):
Long: 1.5× ATR(14) below entry candle low.
Short: 1.5× ATR(14) above entry candle high.
Take-Profit (TP):
Set at 2× SL distance (RR 1:2).
Trailing SL:
After price moves 1× SL in profit, trail SL to breakeven.
Partial Booking:
Close 50% at 1× SL (50% of TP), move SL to entry.
Close remaining at full TP.
4. Trade Management
False Signal Filter: Skip trades when RSI(14) > 70 for longs or < 30 for shorts (avoids overbought/oversold extremes).
One Trade at a Time: No multiple positions on same pair.
Session Cutoff: Close any open trade 15 minutes before session end.
5. Risk Parameters
Risk per Trade: 1% of account equity.
Reward Target: ≥2% (1:2 RR) per trade.
Win-Rate Expectancy: ≥75% based on indicator confluence and price-action confirmation.
