THF Crossover and Trend Signals Golden & Death Cross with VolumeScript Overview:
This Pine Script is designed to assist traders in identifying key buy/sell signals and major trend changes on the chart using Exponential Moving Averages (EMA) and Simple Moving Averages (SMA), as well as visualizing Golden Cross and Death Cross events. The script also includes a volume indicator to highlight the volume trading activity in relation to the price movements.
Key Features:
1. Moving Averages:
EMA 21: Exponential Moving Average over a 21-period, shown in green.
EMA 50: Exponential Moving Average over a 50-period, shown in yellow.
SMA 50: Simple Moving Average over a 50-period, shown in red.
SMA 200: Simple Moving Average over a 200-period, shown in blue.
2. Signals:
Buy Signal: Generated when EMA 21 crosses above SMA 50, indicating a potential upward trend. Displayed with a green label below the price bar.
Sell Signal: Generated when EMA 21 crosses below SMA 50, indicating a potential downward trend. Displayed with a red label above the price bar.
3. Golden Cross (Bullish Trend):
A Golden Cross occurs when EMA 50 crosses above SMA 200, which often signals the start of a long-term upward trend. The signal is displayed with a yellow label below the price bar.
4. Death Cross (Bearish Trend):
A Death Cross occurs when EMA 50 crosses below SMA 200, which often signals the start of a long-term downward trend. The signal is displayed with a blue label above the price bar.
5. Volume Indicator:
The volume is plotted as colored columns. Green indicates higher volume than the 20-period moving average, and red indicates lower volume.
A Volume Moving Average (SMA 20) is also plotted to compare volume changes over time.
How the Script Works:
1. The EMA and SMA lines are plotted on the chart, providing a visual representation of the short- and long-term trends.
2. Buy/Sell signals are triggered based on the crossover between EMA 21 and SMA 50, helping to identify potential entry and exit points.
3. The Golden Cross and Death Cross indicators highlight major trend reversals based on the crossover between EMA 50 and SMA 200, providing clear visual cues for long-term trend changes.
4. Volume is displayed alongside price movements, offering insight into the strength or weakness of a trend.
Key Customizations:
Moving Average Periods: Users can modify the lengths of the EMAs and SMAs for customized analysis.
Volume Moving Average Period: The script allows for adjustment of the volume moving average period to suit different market conditions.
Signal Visibility: The size and color of the buy, sell, Golden Cross, and Death Cross signals can be easily customized to make them more prominent on the chart.
Conclusion:
This script is ideal for traders looking to combine price action with volume analysis, using key technical indicators such as EMA, SMA, Golden Cross, and Death Cross to make informed decisions in trending markets.
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This explanation covers all aspects of the script and provides a clear understanding of its functionality, which is helpful for sharing the script or using it as an educational resource.
Поиск скриптов по запросу "黄金近20年走势"
Weighted Multi-Mode Oscillator [BackQuant]Weighted Multi‑Mode Oscillator
1. What Is It?
The Weighted Multi‑Mode Oscillator (WMMO) is a next‑generation momentum tool that turns a dynamically‑weighted moving average into a 0‑100 bounded oscillator.
It lets you decide how each bar is weighted (by volume, volatility, momentum or a hybrid blend) and how the result is normalised (Percentile, Z‑Score or Min‑Max).
The outcome is a self‑adapting gauge that delivers crystal‑clear overbought / oversold zones, divergence clues and regime shifts on any market or timeframe.
2. How It Works
• Dynamic Weight Engine
▪ Volume – emphasises bars with exceptional participation.
▪ Volatility – inverse ATR weighting filters noisy spikes.
▪ Momentum – amplifies strong directional ROC bursts.
▪ Hybrid – equal‑weight blend of the three dimensions.
• Multi‑Mode Smoothing
Choose from 8 MA types (EMA, DEMA, HMA, LINREG, TEMA, RMA, SMA, WMA) plus a secondary smoothing factor to fine‑tune lag vs. responsiveness.
• Normalization Suite
▪ Percentile – rank vs. recent history (context aware).
▪ Z‑Score – standard deviations from mean (statistical extremes).
▪ Min‑Max – scale between rolling high/low (trend friendly).
3. Reading the Oscillator
Zone Default Level Interpretation
Bull > 80 Acceleration; momentum buyers in control
Neutral 20 – 80 Consolidation / no edge
Bear < 20 Exhaustion; sellers dominate
Gradient line/area automatically shades from bright green (strong bull) to deep red (strong bear).
Optional bar‑painting colours price bars the same way for rapid chart scanning.
4. Typical Use‑Cases
Trend Confirmation – Set Weight = Hybrid, Smoothing = EMA. Enter pullbacks only when WMMO > 50 and rising.
Mean Reversion – Weight = Volatility, reduce upper / lower bands to 70 / 30 and fade extremes.
Volume Pulse – Intraday futures: Weight = Volume to catch participation surges before breakout candles.
Divergence Spotting – Compare price highs/lows to WMMO peaks for early reversal clues.
5. Inputs & Styling
Calculation: Source, MA Length, MA Type, Smoothing
Weighting: Volume period & factor, Volatility length, Momentum period
Normalisation: Method, Look‑back, Upper / Lower thresholds
Display: Gradient fills, Threshold lines, Bar‑colouring toggle, Line width & colours
All thresholds, colours and fills are fully customisable inside the settings panel.
6. Built‑In Alerts
WMMO Long – oscillator crosses up through upper threshold.
WMMO Short – oscillator crosses down through lower threshold.
Attach them once and receive push / e‑mail notifications the moment momentum flips.
7. Best Practices
Percentile mode is self‑adaptive and works well across assets; Z‑Score excels in ranges; Min‑Max shines in persistent trends.
Very short MA lengths (< 10) may produce jitter; compensate with higher “Smoothing” or longer look‑backs.
Pair WMMO with structure‑based tools (S/R, trend lines) for higher‑probability trade confluence.
Disclaimer
This script is provided for educational purposes only. It is not financial advice. Always back‑test thoroughly and manage risk before trading live capital.
Big Trade % Heatmap### Big Trade % Heatmap
**Quick overview**
This indicator highlights where “whale” activity is clustered by showing what fraction of the recent candles contained *large‑value trades*. A candle is considered “big” when its notional volume (`volume × close`) exceeds your chosen USD threshold. You instantly see:
* **Percent of big candles** in the last *N* bars, refreshed at the cadence you pick.
* **On‑chart labels & markers** every refresh, so the chart stays clean.
* **Optional heat‑map background** that turns orange (>20 %) or green (>50 %) when big‑trade concentration spikes.
* **Ready‑made alert** when big‑trade dominance crosses 50 %.
---
#### How it works
1. **Trade size per candle** – Calculates `close × volume` to estimate dollars traded.
2. **Threshold filter** – Flags candles whose value is above *Big Trade Threshold (\$)*.
3. **Look‑back window** – Counts what percentage of the last *Lookback Window (X Candles)* were “big.”
4. **Refresh interval** – Repeats the measurement only every *Refresh Interval (Every X Candles)* to avoid label spam.
5. **Visuals** –
* A small blue ▼ above the bar + a text label such as `35.00 % > $25 000`.
* Background shading (green/orange) for quick, at‑a‑glance sentiment.
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#### Inputs
| Input | Purpose | Default |
| -------------------------------------- | ----------------------------------------------------- | ------- |
| **Lookback Window (X Candles)** | How many recent bars to sample for the % calculation. | 20 |
| **Refresh Interval (Every X Candles)** | How often to display a new label/marker. | 5 |
| **Big Trade Threshold (\$)** | Minimum USD value for a candle to count as “big.” | 10 000 |
Tune these to the symbol and timeframe you trade (e.g., raise the threshold for BTC‑USDT 1‑h, lower it for micro‑caps).
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#### Alerts
Enable **“High Big Trade %”** to get notified the moment more than half of the last *N* candles qualify as big trades—handy for spotting sudden accumulation or distribution.
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#### Typical use cases
* **Breakout confirmation** – A surge in big‑trade % just before price escapes a range can validate the move.
* **Whale spotting** – Detect hidden accumulation on pullbacks or aggressive selling into rallies.
* **Filter noise** – Combine with your favorite trend indicator; only act when both align.
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> *Built with Pine Script v6. Always back‑test before trading live; this tool is for educational purposes and not financial advice.*
Bollinger Bottom + Middle Lines with Inline TextThis script visualizes key Bollinger Band levels based on two different SMAs (20 & 50 periods), with clear labeling and a smart price table.
🔸 Features:
Draws lower and middle Bollinger Band lines for both SMA(20) and SMA(50)
Inline text at the end of each line instead of default labels (cleaner view)
A dynamic table in the top-right corner, sorted from highest to lowest level
Color-coded rows:
▪️ Orange → BB20 Mid & BB20 Lower
▪️ Green → BB50 Mid & BB50 Lower
Auto-updates each bar without cluttering the chart
✅ Ideal for identifying technical accumulation zones
✅ Suitable for investors using scaling-in strategies or mean-reversion logic
Universal Renko Bars by SiddWolfUniversal Renko Bars or UniRenko Bars is an overlay indicator that applies the logic of Renko charting directly onto a standard candlestick chart. It generates a sequence of price-driven bricks, where each new brick is formed only when the price moves a specific amount, regardless of time. This provides a clean, price-action-focused visualization of the market's trend.
WHAT IS UNIVERSAL RENKO BARS?
For years, traders have faced a stark choice: the clean, noise-free world of Renko charts, or the rich, time-based context of Candlesticks. Choosing Renko meant giving up your favorite moving averages, volume profiles, and the fundamental sense of time. Choosing Candlesticks meant enduring the market noise that often clouds true price action.
But what if you didn't have to choose?
Universal Renko Bars is a revolutionary indicator that ends this dilemma. It's not just another charting tool; it's a powerful synthesis that overlays the pure, price-driven logic of Renko bricks directly onto your standard candlestick chart. This hybrid approach gives you the best of both worlds:
❖ The Clarity of Renko: By filtering out the insignificant noise of time, Universal Renko reveals the underlying trend with unparalleled clarity. Up trends are clean successions of green bricks; down trends are clear red bricks. No more guesswork.
❖ The Context of Candlesticks: Because the Renko logic is an overlay, you retain your time axis, your volume data, and full compatibility with every other time-based indicator in your arsenal (RSI, MACD, Moving Averages, etc.).
The true magic, however, lies in its live, Unconfirmed Renko brick. This semi-transparent box is your window into the current bar's real-time struggle. It grows, shrinks, and changes color with every tick, showing you exactly how close the price is to confirming the trend or forcing a reversal. It’s no longer a lagging indicator; it’s a live look at the current battle between buyers and sellers.
Universal Renko Bars unifies these two powerful charting methods, transforming your chart into a more intelligent, noise-free, and predictive analytical canvas.
HOW TO USE
To get the most out of Universal Renko Bars, here are a few tips and a full breakdown of the settings.
Initial Setup for the Best Experience
For the cleanest possible view, it's highly recommended that you hide the body of your standard candlesticks, that shows only the skelton of the candle. This allows the Renko bricks to become the primary focus of your chart.
→ Double click on the candles and uncheck the body checkbox.
Settings Breakdown
The indicator is designed to be powerful yet intuitive. The settings are grouped to make customization easy.
First, What is a "Tick"?
Before we dive in, it's important to understand the concept of a "Tick." In Universal Renko, a Tick is not the same as a market tick. It's a fundamental unit of price movement that you define. For example, if you set the Tick Size to $0.50, then a price move of $1.00 is equal to 2 Ticks. This is the core building block for all Renko bricks. Tick size here is dynamically determined by the settings provided in the indicator.
❖ Calculation Method (The "Tick Size" Engine)
This section determines the monetary value of a single "Tick."
`Calculation Method` : Choose your preferred engine for defining the Tick Size.
`ATR Based` (Default): The Tick Size becomes dynamic, based on market volatility (Average True Range). Bricks will get larger in volatile markets and smaller in quiet ones. Use the `ATR 14 Multiplier` to control the sensitivity.
`Percentage` : The Tick Size is a simple percentage of the current asset price, controlled by the `Percent Size (%)` input.
`Auto` : The "set it and forget it" mode. The script intelligently calculates a Tick Size based on the asset's price. Use the `Auto Sensitivity` slider to make these automatically calculated bricks thicker (value > 1.0) or thinner (value < 1.0).
❖ Parameters (The Core Renko Engine)
This group controls how the bricks are constructed based on the Tick Size.
`Tick Trend` : The number of "Ticks" the price must move in the same direction to print a new continuation brick. A smaller value means bricks form more easily.
`Tick Reversal` : The number of "Ticks" the price must move in the opposite direction to print a new reversal brick. This is typically set higher than `Tick Trend` (e.g., double) to filter out minor pullbacks and market noise.
`Open Offset` : Controls the visual overlap of the bricks. A value of `0` creates gapless bricks that start where the last one ended. A value of `2` (with a `Tick Reversal` of 4) creates the classic 50% overlap look.
❖ Visuals (Controlling What You See)
This is where you tailor the chart to your visual preference.
`Show Confirmed Renko` : Toggles the solid-colored, historical bricks. These are finalized and will never change. They represent the confirmed past trend.
`Show Unconfirmed Renko` : This is the most powerful visual feature. It toggles the live, semi-transparent box that represents the developing brick. It shows you exactly where the price is right now in relation to the levels needed to form the next brick.
`Show Max/Min Levels` : Toggles the horizontal "finish lines" on your chart. The green line is the price target for a bullish brick, and the red line is the target for a bearish brick. These are excellent for spotting breakouts.
`Show Info Label` : Toggles the on-chart label that provides key real-time stats:
🧱 Bricks: The total count of confirmed bricks.
⏳ Live: How many chart bars the current live brick has been forming. These bars forms the Renko bricks that aren't confirmed yet. Live = 0 means the latest renko brick is confirmed.
🌲 Tick Size: The current calculated value of a single Tick.
Hover over the label for a tooltip with live RSI(14), MFI(14), and CCI(20) data for additional confirmation.
TRADING STRATEGIES & IDEAS
Universal Renko Bars isn't just a visual tool; it's a foundation for building robust trading strategies.
Trend Confirmation: The primary use is to instantly identify the trend. A series of green bricks indicates a strong uptrend; a series of red bricks indicates a strong downtrend. Use this to filter out trades that go against the primary momentum.
Reversal Spotting: Pay close attention to the Unconfirmed Brick . When a strong trend is in place and the live brick starts to fight against it—changing color and growing larger—it can be an early warning that a reversal is imminent. Wait for the brick to be confirmed for a higher probability entry.
Breakout Trading: The `Max/Min Levels` are your dynamic breakout zones. A long entry can be considered when the price breaks and closes above the green Max Level, confirming a new bullish brick. A short entry can be taken when price breaks below the red Min Level.
Confluence & Indicator Synergy: This is where Universal Renko truly shines. Overlay a moving average (e.g., 20 EMA). Only take long trades when the green bricks are forming above the EMA. Combine it with RSI or MACD; a bearish reversal brick forming while the RSI shows bearish divergence is a very powerful signal.
A FINAL WORD
Universal Renko Bars was designed to solve a fundamental problem in technical analysis. It brings together the best elements of two powerful methodologies to give you a clearer, more actionable view of the market. By filtering noise while retaining context, it empowers you to make decisions with greater confidence.
Add Universal Renko Bars to your chart today and elevate your analysis. We welcome your feedback and suggestions for future updates!
Follow me to get notified when I publish New Indicator.
~ SiddWolf
Correlation Coefficient with MA & BB中文版介紹
相關係數、移動平均線與布林帶指標 (Correlation Coefficient with MA & BB)
這個 Pine Script 指標是一款強大的工具，旨在幫助交易者和投資者深入分析兩個市場標的之間的關係強度與方向，並結合移動平均線 (MA) 和布林帶 (BB) 來進一步洞察這種關係的趨勢和波動性。
無論您是想尋找配對交易機會、管理投資組合風險，還是僅僅想更好地理解市場動態，這個指標都能提供有價值的見解。
指標特色與功能：
動態相關係數計算：
您可以選擇任何您想比較的股票、商品或加密貨幣代號（例如，預設為 GOOG）。
指標會自動計算當前圖表（主數據源，預設為收盤價）與您指定標的之間的相關係數。
相關係數值介於 -1 (完美負相關) 至 1 (完美正相關) 之間，0 表示無線性關係。
視覺化呈現相關係數線，並標示 1、0、-1 參考水平線，同時填充完美相關區間，讓您一目了然。
特別之處：程式碼中包含了 ticker.modify，確保比較標的數據考慮了股息調整或延長交易時段，使相關性分析更加精準。
相關係數的移動平均線 (MA)：
為了平滑相關係數的短期波動，指標提供了多種移動平均線類型供您選擇，包括：SMA、EMA、WMA、SMMA。
您可以設定計算 MA 的週期長度（預設 20 週期）。
這條 MA 線有助於識別相關係數的長期趨勢，判斷兩者關係是趨於增強還是減弱。
相關係數的布林帶 (BB)：
將布林帶應用於相關係數，以衡量其波動性和相對高低水平。
中軌與您選擇的移動平均線保持一致。
上軌和下軌則根據相關係數的標準差和您設定的 Z 值（預設 2.0 倍標準差）動態調整。
布林帶可以幫助您識別相關係數何時處於極端水平，可能預示著未來會回歸均值。
如何運用這個指標？
配對交易策略：當兩個通常高度相關的資產，其相關係數短期內顯著偏離平均水平（例如，一個資產價格上漲而另一個原地踏步），您可能可以考慮利用此「失衡」進行配對交易。
投資組合多元化：了解不同資產之間的相關性，有助於構建更穩健的投資組合，避免過度集中於同向變動的資產，有效分散風險。
市場趨勢洞察：透過觀察相關係數的趨勢和波動，您可以更好地理解不同市場板塊或資產類別之間的聯動性，為您的宏觀經濟分析提供數據支持。
請注意，相關性不等於因果性。使用此指標時，請結合您的整體交易策略、宏觀經濟分析以及其他技術指標進行綜合判斷。
English Version Introduction
Correlation Coefficient with Moving Average & Bollinger Bands Indicator (Correlation Coefficient with MA & BB)
This Pine Script indicator is a powerful tool designed to help traders and investors deeply analyze the strength and direction of the relationship between two market instruments. It integrates Moving Averages (MA) and Bollinger Bands (BB) to further insight into the trend and volatility of this relationship.
Whether you're looking for pair trading opportunities, managing portfolio risk, or simply aiming to better understand market dynamics, this indicator can provide valuable insights.
Indicator Features & Functionality:
Dynamic Correlation Coefficient Calculation:
You can select any symbol you wish to compare (e.g., default is GOOG), be it stocks, commodities, or cryptocurrencies.
The indicator automatically calculates the correlation coefficient between the current chart (main data source, default is close price) and your specified symbol.
Correlation values range from -1 (perfect negative correlation) to 1 (perfect positive correlation), with 0 indicating no linear relationship.
It visually plots the correlation line, marks 1, 0, -1 reference levels, and fills the perfect correlation zone for clear visualization.
Special Feature: The code includes ticker.modify, ensuring that the comparative symbol's data accounts for dividend adjustments or extended trading hours, leading to more precise correlation analysis.
Moving Average (MA) for Correlation:
To smooth out short-term fluctuations in the correlation coefficient, the indicator offers multiple MA types for you to choose from: SMA, EMA, WMA, SMMA.
You can set the length of the MA period (default 20 periods).
This MA line helps identify the long-term trend of the correlation coefficient, indicating whether the relationship between the two instruments is strengthening or weakening.
Bollinger Bands (BB) for Correlation:
Bollinger Bands are applied to the correlation coefficient itself to gauge its volatility and relative high/low levels.
The middle band aligns with your chosen Moving Average.
The upper and lower bands dynamically adjust based on the correlation coefficient's standard deviation and your set Z-score (default 2.0 standard deviations).
Bollinger Bands can help you identify when the correlation coefficient is at extreme levels, potentially signaling a future reversion to the mean.
How to Utilize This Indicator:
Pair Trading Strategies: When two typically highly correlated assets show a significant short-term deviation from their average correlation (e.g., one asset's price rises while the other stagnates), you might consider exploiting this "imbalance" for pair trading.
Portfolio Diversification: Understanding the correlation between different assets helps build a more robust investment portfolio, preventing over-concentration in co-moving assets and effectively diversifying risk.
Market Trend Insight: By observing the trend and volatility of the correlation coefficient, you can better understand the联动 (interconnectedness) between different market sectors or asset classes, providing data support for your macroeconomic analysis.
Please note that correlation does not imply causation. When using this indicator, combine it with your overall trading strategy, macroeconomic analysis, and other technical indicators for comprehensive decision-making.
Momentum Candle V2 by Sekolah Trading📌 Momentum Candle V2 by Sekolah Trading – Pair-Based Volatility & Wick Ratio Filter
This script provides a structured and adaptive approach to detecting high-probability momentum candles in intraday markets. It dynamically adjusts pip thresholds and wick filtering conditions based on the selected symbol and timeframe, making it highly practical for real-time trading.
🔍 Concept and Originality
Momentum Candle V2 by Sekolah Trading implements a custom-built methodology combining:
Dynamic Pip Calibration
For each supported instrument (e.g., XAUUSD, USDJPY, GBPUSD, AUDUSD, EURUSD, BTCUSD), the user can define a pip threshold that determines the minimum valid body size for momentum candles. These thresholds are tailored for each pair and timeframe (M5, M15, H1), ensuring the logic adjusts to different volatility profiles.
Wick-to-Body Ratio Filtering
The script filters out candles with large wicks by requiring that total wick length (upper + lower) be no more than 30% of the full candle range. This helps identify decisive candles with minimal rejection.
Directional Validation
Bullish momentum is defined as: Close > Open with a shorter upper wick.
Bearish momentum is: Close < Open with a shorter lower wick.
Real-Time Timing Filter
Alerts are only triggered when the current candle is between 20 and 90 seconds from closing, which reduces noise and encourages confirmation-based entry.
Non-Repainting Logic
All calculations run in real-time with confirmed candles only — no lookahead or future leak.
📊 Visual Output – How to Read the Chart
When the conditions above are met, the script displays triangle markers on the chart:
🔺 Red downward triangle above the candle: valid bearish momentum signal
🔻 Blue upward triangle below the candle: valid bullish momentum signal
These shapes appear on live bars during the final moments of the candle to alert traders to potential confirmed momentum.
🔔 Alert Conditions
Two alert types are provided:
Momentum Bullish: Large bullish candle with small upper wick, during last 20–90s of bar
Momentum Bearish: Large bearish candle with small lower wick, same timing window
Alerts are designed for precision entries at candle close.
🧭 How to Use
Apply the script to a 5m, 15m, or 1h chart.
Configure pip thresholds for your preferred pairs from the input settings.
Watch for triangle markers near the close of each candle:
Blue = potential bullish momentum
Red = potential bearish momentum
Set alerts:
Go to Alerts → Select Momentum Bullish or Momentum Bearish
Frequency: Once Per Bar
Customize message: e.g. “Momentum Bullish on XAUUSD M15”
Combine signals with:
EMA, S/R, or trend filters
Volume/Order Flow
Liquidity zone or breakout context
🛡️ Why This Script Is Closed-Source
This script uses proprietary logic developed by Sekolah Trading, including:
Custom pip calibration engine
Adaptive wick filtering
Real-time entry validation with triangle plots
While the code is protected, the methodology has been explained transparently here in accordance with TradingView publishing rules.
⚠️ Disclaimer
This script is provided for educational and technical analysis purposes only.
It does not guarantee results or provide financial advice. Always verify trades with your own strategy and risk controls.
Author: Sekolah Trading
Version: Momentum Candle V2
Built with Pine Script v6
Turtle Trading System + ATR Trailing StopIndicator Description: Turtle ATR Trailing Stop
The **Turtle ATR Trailing Stop** is a technical indicator designed to enhance the classic Turtle Trading System by incorporating a dynamic trailing stop based on the Average True Range (ATR). This indicator is ideal for traders seeking to manage risk and lock in profits on both long and short positions in trending markets.
Key Features:
- Turtle Trading Levels: Calculates the 20-day highest high and lowest low to identify potential breakout points, a core principle of the Turtle Trading System.
- ATR-Based Trailing Stop: Utilizes a trailing stop that adjusts dynamically based on a multiple of the ATR (default multiplier: 2.0), providing a volatility-adjusted exit mechanism.
- Position Flexibility: Supports both long and short positions, with the trailing stop positioned below the highest price for long trades and above the lowest price for short trades.
- Smooth Updates: The trailing stop updates on each bar, ensuring a more responsive adjustment to price movements, rather than only on new highs or lows.
- Reset Mechanism: Automatically resets the trailing stop when the price deviates significantly (configurable threshold, default 0.1%), adapting to major trend reversals.
- Alerts: Includes customizable alerts that trigger when the price reaches the trailing stop level, notifying traders of potential exit points.
- Debugging Tools: Features an on-chart debug table displaying ATR, Close, Highest Price, Lowest Price, Potential Stop, and Trailing Stop values for real-time analysis.
How It Works:
- For **Long Positions**: The trailing stop starts below the initial close price (minus 2*ATR) and moves up as the highest price increases, locking in profits while trailing at a fixed ATR distance.
- For **Short Positions**: The trailing stop starts above the initial close price (plus 2*ATR) and moves down as the lowest price decreases, protecting against upward price movements.
- The stop resets if the price falls (for long) or rises (for short) beyond the set threshold, ensuring adaptability to new market conditions.
Customization:
- Period Settings: Adjust the length for highs/lows (default 20) and ATR period (default 14).
- ATR Multiplier: Modify the distance of the trailing stop (default 2.0).
- Reset Threshold: Fine-tune the percentage at which the stop resets (default 0.1%).
- Position Type: Switch between "Long" and "Short" modes via input settings.
Usage:
Apply this indicator to any chart in TradingView, set your preferred parameters, and monitor the trailing stop line (yellow) alongside the Turtle highs (red) and lows (blue). Use the debug table to validate calculations and set alerts to stay informed of stop triggers.
This indicator combines the trend-following strength of the Turtle System with a flexible, ATR-based stop-loss strategy, making it a powerful tool for both manual and automated trading strategies.
Neuracap Gap AnalysisThe Neuracap Gap Analysis indicator is a comprehensive tool designed to identify and track price gaps, special candlestick patterns, and high-volume breakout signals. It combines multiple trading strategies into one powerful indicator for gap trading, pattern recognition, and momentum analysis.
🎯 What This Indicator Does
1. Gap Detection & Tracking
Automatically identifies price gaps (up and down)
Tracks gap fills with visual boxes that extend until closed
Manages gap history with customizable limits
Color-coded visualization (Green = Gap Up, Red = Gap Down)
2. Upside Tasuki Gap Pattern
Identifies the bullish continuation pattern
Colors candles yellow when pattern is detected
Confirms trend continuation signals
3. Episodic Pivot Detection
High-volume breakout identification
EMA filter ensures signals only in uptrends
Strong momentum confirmation
Fuchsia-colored candles with arrow markers
🔍 How to Use for Trading
📈 Gap Trading Strategy
Gap Up Trading:
Wait for gap up (green box appears)
Check volume - Higher volume = stronger signal
Entry options:
Aggressive: Enter at market open
Conservative: Wait for pullback to gap level
Stop loss: Below the gap fill level
Target: Previous resistance or 2:1 risk/reward
Gap Down Trading:
Identify gap down (red box appears)
Look for bounce opportunities
Entry: When price shows reversal signs
Stop: Below recent lows
Target: Gap fill level
💫 Tasuki Gap Strategy
Yellow candle indicates bullish continuation
Confirms uptrend is likely to continue
Entry: On next candle after pattern
Stop: Below the gap low
Target: Next resistance level
🚀 Episodic Pivot Strategy
Fuchsia candle + arrow = High probability breakout
All conditions met:
Price above EMA 20, 50, 200
High volume (2x+ average)
Strong price move (4%+)
Entry: At close or next open
Stop: Below EMA 20 or recent swing low
Target: Measured move or next resistance
📊 Reading the Visual Signals
Gap Boxes
🟢 Green Box: Gap up - potential bullish continuation
🔴 Red Box: Gap down - potential bounce or bearish continuation
Box extends until gap is filled
Box disappears when gap closes
Candle Colors
🟡 Yellow: Tasuki gap pattern (bullish continuation)
🟪 Fuchsia: Episodic pivot (high-volume breakout)
⬜ Normal: No special pattern detected
Arrows & Markers
⬆️ Triangle Arrow: Episodic pivot confirmation
💡 Trading Tips & Best Practices
✅ Do's
Combine with trend analysis - Trade gaps in direction of trend
Check volume - Higher volume = more reliable signals
Use multiple timeframes - Confirm on higher timeframes
Risk management - Always set stop losses
Wait for confirmation - Don't chase, let signals develop
❌ Don'ts
Don't trade all gaps - Focus on high-quality setups
Avoid low volume - Weak volume = unreliable signals
Don't ignore trend - Counter-trend trading is risky
Don't overtrade - Quality over quantity
Don't ignore context - Consider market conditions
⚠️ Risk Management
Position sizing: Risk 1-2% per trade
Stop losses: Always define before entry
Target levels: Set realistic profit targets
Market conditions: Avoid trading in choppy markets
📈 Performance Optimization
For Conservative Traders:
Increase minimum gap size to 1%
Set volume multiplier to 3.0x
Only trade episodic pivots in strong uptrends
Wait for gap fill confirmation
For Aggressive Traders:
Decrease minimum gap size to 0.3%
Set volume multiplier to 1.5x
Trade both gap types
Enter on pattern confirmation
🚨 Alert Setup
The indicator provides alerts for:
Gap Up Detected
Gap Down Detected
Upside Tasuki Gap
Episodic Pivot
Recommended: Enable all alerts and filter manually based on your strategy.
📝 Summary
This indicator excels at identifying high-probability trading opportunities through gap analysis, pattern recognition, and momentum confirmation. Use it as part of a complete trading system with proper risk management for best results.
Price Deviation Table by ZonkeyXLProvides a 30 column table showing price deviation per bar close, highlighting larger deviations in red (downside) or green (upside).
Deviations that get highlighted in red/green are calculated to be 2x the amount of price movement in the previous candle, but can be customised to check any deviation size you want in the options panel.
Can be used on any timeframe but you need to specify the number of bars per table column to make it accurate to what you want.
Examples:
If used on the 1 second time frame you could specify bars to 1 and then each column value will check the price as at close on the most recent second for deviations against the close of price on the second prior, showing comparisons up to 30 seconds.
If on the 1 minute time-frame you could specify bars to 2 and then each column value would show deviations from most recent price close to 2 minutes ago, making all 30 columns show deviations for up to an hour.
At the end of the column are 3 orange coloured columns. The first one compares price to 10 bars ago. The second compares current price to 20 bars ago. The 3rd compares current price to 30 bars ago.
In our example on the 1 second above, this would mean deviation is calculated by comparing most recent close to 10 seconds ago, then to 20 seconds ago, and then to 30 seconds ago. The final 3 columns do not highlight red or green, so you can differentiate them properly from the main deviation columns at all times.
Note that the table is rolling - so once it is populated for the first time, only the final column will update while the prior values will shift one column to the left.
Delta Volume BubblesDelta Volume Bubbles
Overview
The Delta Volume Bubbles indicator is an advanced order flow visualization tool that displays buying and selling pressure through dynamic bubble representations on your chart. Unlike traditional volume indicators that only show total volume, this indicator calculates the net delta volume (difference between buying and selling volume) and presents it as color-coded bubbles of varying sizes.
How It Works
Core Calculation Method
The indicator uses a sophisticated approach to estimate delta volume from standard OHLCV data:
1. Price Action Analysis: Analyzes the relationship between open, high, low, and close prices to determine market aggression
2. Body Ratio Calculation: body_ratio = |close - open| / (high - low)
3. Aggressive Factor: Applies multipliers based on price action:
- Strong moves (body_ratio > 0.7): 1.5x multiplier
- Moderate moves (body_ratio > 0.4): 1.2x multiplier
- Weak moves: 1.0x multiplier
4. Delta Volume Estimation:
- Buy Volume: price_change > 0 ? volume × aggressive_factor : 0
- Sell Volume: price_change < 0 ? volume × aggressive_factor : 0
- Net Delta: buy_volume - sell_volume
5. Delta Strength Normalization: delta_strength = |net_delta| / sma(volume, 20)
Percentile-Based Filtering
The indicator uses percentile filtering instead of fixed thresholds, making it adaptive to market conditions:
- Bubble Filter: Only shows bubbles when volume exceeds the specified percentile (default: 60%)
- Label Filter: Only displays numbers when volume exceeds a higher percentile (default: 90%)
- Dynamic Adaptation: Automatically adjusts to changing market volatility
Visual Elements
Bubble Sizes
- Tiny: Delta strength < 0.3
- Small: Delta strength 0.3 - 0.7
- Normal: Delta strength 0.7 - 1.2
- Large: Delta strength 1.2 - 2.0
- Huge: Delta strength > 2.0
Color Coding
- Aggressive Buy (Bright Green): Strong buying pressure with high body ratio
- Aggressive Sell (Bright Red): Strong selling pressure with high body ratio
- Passive Buy (Light Green): Moderate buying pressure
- Passive Sell (Light Red): Moderate selling pressure
Intensity Mode
Alternative coloring based on delta strength rather than flow direction:
- Gray: Low intensity (< 0.5)
- Blue: Medium intensity (0.5 - 1.0)
- Orange: High intensity (1.0 - 2.0)
- Red: Extreme intensity (> 2.0)
Parameters
Order Flow Settings
- Show Bubbles: Toggle bubble display on/off
- Bubble Volume %ile: Percentile threshold for bubble display (0-100%)
- Intensity Mode: Switch between flow-based and intensity-based coloring
Bubble Labels
- Show Numbers in Bubbles: Toggle numerical labels on/off
- Label Volume %ile: Higher percentile threshold for label display (0-100%)
Numbers are displayed in K-notation (e.g., 25000 → 25K, 1500000 → 1.5M) for better readability.
Ideal Usage Scenarios
Best Market Conditions
- High volume sessions: More accurate delta calculations
- Trending markets: Clear directional flow identification
- Breakout scenarios: Spot aggressive buying/selling at key levels
- Support/resistance testing: Identify accumulation vs distribution
Trading Applications
1. Entry Timing: Look for aggressive flow in your trade direction
2. Exit Signals: Watch for opposing aggressive flow
3. Trend Confirmation: Consistent flow direction confirms trends
4. Volume Climax: Huge bubbles may indicate exhaustion points
Optimization Tips
Parameter Adjustment
- Lower percentiles (40-60%): More bubbles, good for active markets
- Higher percentiles (70-90%): Fewer bubbles, focus on significant events
- Label percentile: Set 20-30% higher than bubble percentile for clarity
Visual Optimization
- Intensity mode: Better for identifying unusual volume spikes
- Flow mode: Better for directional bias analysis
- Label toggle: Turn off in crowded markets, on for key levels
Limitations
- Estimation-based: Uses approximation algorithms, not true order flow data
- Volume dependency: Requires accurate volume data to function properly
- Timeframe sensitivity: Works best on intraday timeframes with active volume
- Market hours: Most effective during high-volume trading sessions
Technical Notes
The indicator implements advanced Pine Script features including:
- Dynamic percentile calculations using ta.percentile_linear_interpolation()
- Conditional plotting with multiple size categories
- Custom number formatting functions
- Efficient label management to prevent display limits
This tool is designed for traders who want to understand the underlying buying and selling pressure beyond simple volume analysis, providing insights into market sentiment and potential turning points.
H BollingerBollinger Bands are a widely used technical analysis indicator that helps spot relative price highs and lows. The tool comprises three lines: a central band representing the 20-period simple moving average (SMA), and upper and lower bands usually placed two standard deviations above and below the SMA. These bands adjust with market volatility, offering insights into price fluctuations and trading conditions.
How this indicator works
Bollinger Bands helps traders assess price volatility and potential price reversals. They consist of three bands: the middle band, the upper band, and the lower band. Here's how Bollinger Bands work:
Middle band: This is typically a simple moving average (SMA) of the asset's price over a specified period. The most common period used is 20 days.
Upper band: This is calculated by adding a specified number of standard deviations to the middle band. The standard deviation measures the asset's price volatility. Commonly, two standard deviations are added to the middle band.
Lower band: Similar to the upper band, it is calculated by subtracting a specified number of standard deviations from the middle band.
What do Bollinger Bands tell you?
Bollinger bands primarily indicate the level of market volatility and trading opportunities. Narrow bands indicate low market volatility, while wide bands suggest high market volatility. Bollinger bands indicators can be used by traders to assess potential buy or sell signals. For instance, a sell signal may be interpreted or generated if the asset’s price moves closer or crosses the upper band, as it may indicate that the asset is overbought. Alternatively, a buy signal may be interpreted or generated if the price moves closer to the lower band, as it may signify that the asset is oversold.
However, traders should be cautious when using Bollinger Bands as standalone indicators when making trading decisions. Experienced traders refrain from confirming signals based on one indicator. Instead, they generally combine various technical indicators and fundamental analysis methods to make informed trading decisions. Basing trading decisions on only one indicator can result in misinterpretation of signals and heavy losses.
Bollinger Bands assist in identifying whether prices are relatively high or low. They are applied as a pair—upper and lower bands—alongside a moving average. However, these bands are not designed to be used in isolation. Instead, they should be used to validate signals generated by other technical indicators.
Calculation of Bollinger Band
NQ Position Size CalculatorNQ Position Size Line Calculator is designed specifically for Nasdaq 100 futures (NQ) and micro futures (MNQ) traders who want to maintain disciplined risk management. This visual tool eliminates the guesswork from position sizing by displaying distance lines and contract calculations directly on your chart.
The indicator creates horizontal lines at 10-tick intervals from your stop loss level, showing you exactly how many contracts to trade at each distance to maintain your predetermined risk amount. Whether you're trading regular NQ contracts or micro MNQ contracts, this calculator ensures you never risk more than intended while providing instant visual feedback for optimal position sizing decisions.
How to Use the Indicator
Step 1: Configure Your Settings
Stop Loss Price: Enter your exact stop loss level (e.g., 20000.00)
Risk Amount ($): Set your maximum dollar risk per trade (e.g., $500)
Contract Type: Choose between:
NQ (Regular): $5 per tick - for larger accounts
MNQ (Micro): $0.50 per tick - for smaller accounts or conservative sizing
Display Options:
Max Lines: Number of distance lines to show (default: 30)
Show Labels: Toggle tick distance and contract count labels
Line Color: Customize the color of distance lines
Label Size: Choose tiny, small, or normal label sizes
Step 2: Read the Visual Display
Once configured, the indicator displays:
Stop Loss Line:
Thick yellow line marking your exact stop loss level
Yellow label showing the stop loss price
Distance Lines:
Dashed red lines at 10-tick intervals above and below your stop loss
Lines appear on both sides for long and short position planning
Labels (if enabled):
Green labels (right side): For long positions above your stop loss
Red labels (left side): For short positions below your stop loss
Format: "20T 5x" means 20 ticks distance, 5 contracts maximum
Step 3: Use the Information Tables
The indicator provides two helpful tables:
Position Size Table (top-right):
Shows common tick distances (10, 20, 40, 80, 160 ticks)
Displays risk per contract at each distance
Contract count for your specified risk amount
Total risk with rounded contract numbers
Settings Table (bottom-right):
Confirms your current risk amount
Shows selected contract type
Displays current settings for quick reference
Step 4: Apply to Your Trading
For Long Positions:
Look at the green labels on the right side of your chart
Find your desired entry level
Read the label to see: distance in ticks and maximum contracts
Example: "30T 8x" = 30 ticks from stop, buy 8 contracts maximum
For Short Positions:
Look at the red labels on the left side of your chart
Find your desired entry level
Read the label for tick distance and contract count
Example: "40T 6x" = 40 ticks from stop, sell 6 contracts maximum
Step 5: Trading Execution
Before Entering a Trade:
Identify your stop loss level and input it into the indicator
Choose your entry point by looking at the distance lines
Note the contract count from the corresponding label
Verify the risk amount matches your trading plan
Execute your trade with the calculated position size
Risk Management Features:
Contract rounding: All position sizes are rounded down (never up) to ensure you don't exceed your risk limit
Zero position filtering: Lines only show where position size is at least 1 contract
Dual-sided display: Plan both long and short opportunities simultaneously
Volume Data Table (Real-time & Historical Volume Analysis)Volume Data Table (Real-time & Historical Volume Analysis)
Overview:
The Volume Data Table indicator is a powerful tool designed to provide concise, real-time, and historical volume insights directly on your chart. It aggregates critical volume metrics into an organized, customizable table, making it incredibly easy to identify unusual volume activity, sudden surges, or sustained interest in a particular asset.
This indicator is perfect for traders who rely on volume analysis to confirm price movements, spot potential reversals, or gauge market conviction.
Key Features & How It Works:
Real-time Volume Metrics:
The table prominently displays the volume data for the current (last) candle, including:
Time: The precise time of the current candle's close, formatted in IST (Indian Standard Time - UTC+5:30) for your convenience.
Volume: The total volume for the current candle, smartly formatted in K (Thousands) or M (Millions) for readability.
Change % (Chg%): The percentage change in volume compared to the immediately preceding candle. This helps you quickly spot sudden increases or decreases in trading activity.
Vs 4-Avg % (vs4Avg%): The percentage change in volume compared to the average volume of the last 4 preceding candles. This is crucial for identifying volume surges or drops relative to recent historical activity, which can signal significant market events.
Configurable Historical Data:
Beyond the current candle, you can customize how many previous candles' volume data you wish to display. A simple input setting allows you to choose from 1 to 20 historical rows, giving you flexibility to review recent volume trends. Each historical row also provides its own "Change %" and "Vs 4-Avg %" for detailed analysis of past candle activity.
Intuitive Color-Coding:
Percentage change values are intuitively color-coded for instant visual cues:
Green: Indicates a positive (increase) in volume percentage.
Red: Indicates a negative (decrease) in volume percentage.
Clean & Organized Table Display:
The indicator presents all this data in a neat, easy-to-read table positioned at the top-right of your chart. The table automatically adjusts its height based on the number of historical rows you choose, ensuring a compact and efficient use of screen space.
Ideal Use Cases:
Volume Confirmation: Quickly confirm the conviction behind price movements. A strong price move on high "Vs 4-Avg %" volume often indicates higher reliability.
Spotting Abnormal Volume: Identify candles with unusually high or low volume compared to their recent average, which can precede or accompany significant price action.
Momentum Analysis: Understand if buying/selling pressure is increasing or decreasing over recent periods.
Scalping & Day Trading: The real-time updates and concise format make it highly effective for fast-paced short-term decision-making.
Complements Other Indicators: Use it alongside price action, candlestick patterns, or other technical indicators for a more robust analysis.
Customization Options:
Number of Historical Rows: Adjust Number of Historical Rows from 1 to 20 to tailor the depth of your historical volume review.
Important Disclaimer:
This indicator is a technical analysis tool and should be used as part of a comprehensive trading strategy. It is not financial advice. Trading in financial markets involves substantial risk, and you could lose money. Always perform your own research and risk management.
Adiyogi Trend🟢🔴 “Adiyogi” Trend — Market Alignment Visualizer
“Adiyogi” Trend is a powerful, non-intrusive trend detection system built for traders who seek clarity, discipline, and alignment with true market flow. Inspired by the meditative stillness of Adiyogi and the need for mindful, high-probability decisions, this tool offers a clean and intuitive visual guide to trending environments — without cluttering the chart or pushing forced trades.
This is not a buy/sell signal generator. Instead, it is designed as a background confirmation engine that helps you stay on the right side of the market by identifying moments of true directional strength.
🧠 Core Logic
The “Adiyogi” Trend indicator highlights the background of your chart in green or red when multiple layers of strength and structure align — including momentum, market positioning, and relative force. Only when these internal components agree does the system activate a directional state.
It’s built on three foundational energies of trend confirmation:
Strength of movement
Structure in price action
Conviction in momentum
By combining these into one visual background, the indicator filters out indecision and helps you stay focused during real trend phases — whether you're day trading, swing trading, or holding longer-term positions.
📌 Core Concepts Behind the Tool
The indicator integrates three essential market filters—each confirming a different dimension of trend strength:
ADX (Average Directional Index) – Measures trend momentum.
You’ve chosen a very responsive setting (ADX Length = 2), which helps catch the earliest possible signs of momentum emergence.
The threshold is ADX ≥ 22, ensuring that weak or sideways markets are filtered out.
SuperTrend (10,1) – Captures short-term trend direction.
This setup follows price closely and reacts quickly to reversals, making it ideal for fast-moving assets or intraday strategies.
SuperTrend acts as the structural confirmation of directional bias.
RSI (Relative Strength Index) – Measures strength based on recent price closes.
You’ve configured RSI > 50 for bullish zones and < 50 for bearish—a neutral midpoint standard often used by professional traders.
This ensures that only trades in sync with momentum and recent strength are highlighted.
🌈 How It Visually Works
Background turns GREEN when:
ADX ≥ 22, indicating strong momentum
Price is above the 20 EMA and above SuperTrend (10,1)
RSI > 50, confirming recent strength
Background turns RED when:
ADX ≥ 22, indicating strong momentum
Price is below the 20 EMA and below SuperTrend (10,1)
RSI < 50, confirming recent weakness
The background remains neutral (transparent) when trend conditions are not clearly aligned—this is the tool's way of keeping you out of indecisive markets.
A label (BULL / BEAR) appears only when the bias flips from the previous one. This helps avoid repeated or redundant alerts, focusing your attention only when something changes.
📊 Practical Uses & Benefits
✅ Stay with the trend: Perfectly filters out choppy or sideways markets by only activating when conditions align across momentum, structure, and strength.
✅ Pre-trade confirmation: Use this tool to confirm trade setups from other indicators or price action patterns.
✅ Avoid noise: Prevent overtrading by focusing only on high-quality trend conditions.
✅ Visual clarity: Unlike arrows or plots that clutter the chart, this tool subtly highlights trend conditions in the background, preserving your price action view.
📍 Important Notes
This is not a buy/sell signal generator. It is a trend-confirmation system.
Use it in conjunction with your existing entry setups—such as breakouts, order blocks, retests, or candlestick patterns.
The tool helps you stay in sync with the dominant direction, especially when combining multiple timeframes.
Can be used on any market (stocks, forex, crypto, indices) and on any timeframe.
ZLMA Keltner ChannelThe ZLMA Keltner Channel uses a Zero-Lag Moving Average (ZLMA) as the centerline with ATR-based bands to track trends and volatility.
The ZLMA’s reduced lag enhances responsiveness for breakouts and reversals, i.e. it's more sensitive to pivots and trend reversals.
Unlike Bollinger Bands, which use standard deviation and are more sensitive to price spikes, this uses ATR for smoother volatility measurement.
Background:
Built on John Ehlers’ lag-reduction techniques, this indicator adapts the classic Keltner Channel for dynamic markets. It excels in trending (low-entropy) markets for breakouts and range-bound (high-entropy) markets for reversals.
How to Read:
ZLMA (Blue): Tracks price trends. Above = bullish, below = bearish.
Upper Band (Green): ZLMA + (Multiplier × ATR). Cross above signals breakout or overbought.
Lower Band (Red): ZLMA - (Multiplier × ATR). Cross below signals breakout or oversold.
Channel Fill (Gray): Shows volatility. Narrow = low volatility, wide = high volatility.
Signals (Optional): Enable to show “Buy” (green) on upper band crossovers, “Sell” (red) on lower band crossunders.
Strategies: Trade breakouts in trending markets, reversals in ranges, or use bands as trailing stops.
Settings:
ZLMA Period (20): Adjusts centerline responsiveness.
ATR Period (20): Sets volatility period.
Multiplier (2.0): Controls band width.
If you are still confused between the ZLMA Keltner Channels and Bollinger Bands:
Keltner Channel (ZLMA): Uses ATR for bands, which smooths volatility and is less reactive to sudden price spikes. The ZLMA centerline reduces lag for faster trend detection.
Bollinger Bands: Uses standard deviation for bands, making them more sensitive to price volatility and prone to wider swings in high-entropy markets. Typically uses an SMA centerline, which lags more than ZLMA.
Ticker Pulse Meter + Fear EKG StrategyDescription
The Ticker Pulse Meter + Fear EKG Strategy is a technical analysis tool designed to identify potential entry and exit points for long positions based on price action relative to historical ranges. It combines two proprietary indicators: the Ticker Pulse Meter (TPM), which measures price positioning within short- and long-term ranges, and the Fear EKG, a VIX-inspired oscillator that detects extreme market conditions. The strategy is non-repainting, ensuring signals are generated only on confirmed bars to avoid false positives. Visual enhancements, such as optional moving averages and Bollinger Bands, provide additional context but are not core to the strategy's logic. This script is suitable for traders seeking a systematic approach to capturing momentum and mean-reversion opportunities.
How It Works
The strategy evaluates price action using two key metrics:
Ticker Pulse Meter (TPM): Measures the current price's position within short- and long-term price ranges to identify momentum or overextension.
Fear EKG: Detects extreme selling pressure (akin to "irrational selling") by analyzing price behavior relative to historical lows, inspired by volatility-based oscillators.
Entry signals are generated when specific conditions align, indicating potential buying opportunities. Exits are triggered based on predefined thresholds or partial position closures to manage risk. The strategy supports customizable lookback periods, thresholds, and exit percentages, allowing flexibility across different markets and timeframes. Visual cues, such as entry/exit dots and a position table, enhance usability, while optional overlays like moving averages and Bollinger Bands provide additional chart context.
Calculation Overview
Price Range Calculations:
Short-Term Range: Uses the lowest low (min_price_short) and highest high (max_price_short) over a user-defined short lookback period (lookback_short, default 50 bars).
Long-Term Range: Uses the lowest low (min_price_long) and highest high (max_price_long) over a user-defined long lookback period (lookback_long, default 200 bars).
Percentage Metrics:
pct_above_short: Percentage of the current close above the short-term range.
pct_above_long: Percentage of the current close above the long-term range.
Combined metrics (pct_above_long_above_short, pct_below_long_below_short) normalize price action for signal generation.
Signal Generation:
Long Entry (TPM): Triggered when pct_above_long_above_short crosses above a user-defined threshold (entryThresholdhigh, default 20) and pct_below_long_below_short is below a low threshold (entryThresholdlow, default 40).
Long Entry (Fear EKG): Triggered when pct_below_long_below_short crosses under an extreme threshold (orangeEntryThreshold, default 95), indicating potential oversold conditions.
Long Exit: Triggered when pct_above_long_above_short crosses under a profit-taking level (profitTake, default 95). Partial exits are supported via a user-defined percentage (exitAmt, default 50%).
Non-Repainting Logic: Signals are calculated using data from the previous bar ( ) and only plotted on confirmed bars (barstate.isconfirmed), ensuring reliability.
Visual Enhancements:
Optional moving averages (SMA, EMA, WMA, VWMA, or SMMA) and Bollinger Bands can be enabled for trend context.
A position table displays real-time metrics, including open positions, Fear EKG, and Ticker Pulse values.
Background highlights mark periods of high selling pressure.
Entry Rules
Long Entry:
TPM Signal: Occurs when the price shows strength relative to both short- and long-term ranges, as defined by pct_above_long_above_short crossing above entryThresholdhigh and pct_below_long_below_short below entryThresholdlow.
Fear EKG Signal: Triggered by extreme selling pressure, when pct_below_long_below_short crosses under orangeEntryThreshold. This signal is optional and can be toggled via enable_yellow_signals.
Entries are executed only on confirmed bars to prevent repainting.
Exit Rules
Long Exit: Triggered when pct_above_long_above_short crosses under profitTake.
Partial exits are supported, with the strategy closing a user-defined percentage of the position (exitAmt) up to four times per position (exit_count limit).
Exits can be disabled or adjusted via enable_short_signal and exitPercentage settings.
Inputs
Backtest Start Date: Defines the start of the backtesting period (default: Jan 1, 2017).
Lookback Periods: Short (lookback_short, default 50) and long (lookback_long, default 200) periods for range calculations.
Resolution: Timeframe for price data (default: Daily).
Entry/Exit Thresholds:
entryThresholdhigh (default 20): Threshold for TPM entry.
entryThresholdlow (default 40): Secondary condition for TPM entry.
orangeEntryThreshold (default 95): Threshold for Fear EKG entry.
profitTake (default 95): Exit threshold.
exitAmt (default 50%): Percentage of position to exit.
Visual Options: Toggle for moving averages and Bollinger Bands, with customizable types and lengths.
Notes
The strategy is designed to work across various timeframes and assets, with data sourced from user-selected resolutions (i_res).
Alerts are included for long entry and exit signals, facilitating integration with TradingView's alert system.
The script avoids repainting by using confirmed bar data and shifted calculations ( ).
Visual elements (e.g., SMA, Bollinger Bands) are inspired by standard Pine Script practices and are optional, not integral to the core logic.
Usage
Apply the script to a chart, adjust input settings to suit your trading style, and use the visual cues (entry/exit dots, position table) to monitor signals. Enable alerts for real-time notifications.
Designed to work best on Daily timeframe.
Super PerformanceThe "Super Performance" script is a custom indicator written in Pine Script (version 6) for use on the TradingView platform. Its main purpose is to visually compare the performance of a selected stock or index against a benchmark index (default: NIFTYMIDSML400) over various timeframes, and to display sector-wise performance rankings in a clear, tabular format.
Key Features:
Customizable Display:
Users can toggle between dark and light color themes, enable or disable extended data columns, and choose between a compact "Mini Mode" or a full-featured table view. Table positions and sizes are also configurable for both stock and sector tables.
Performance Calculation:
The script calculates percentage price changes for the selected stock and the benchmark index over multiple periods: 1, 5, 10, 20, 50, and 200 days. It then checks if the stock is outperforming the index for each period.
Conviction Score:
For each period where the stock outperforms the index, a "conviction score" is incremented. This score is mapped to qualitative labels such as "Super solid," "Solid," "Good," etc., and is color-coded for quick visual interpretation.
Sector Performance Table:
The script tracks 19 sector indices (e.g., REALTY, IT, PHARMA, AUTO, ENERGY) and calculates their performance over 1, 5, 10, 20, and 60-day periods. It then ranks the top 5 performing sectors for each timeframe and displays them in a sector performance table.
Visual Output:
Two tables are constructed:
Stock Performance Table: Shows the stock's returns, index returns, outperformance markers (✔/✖), and the difference for each period, along with the overall conviction score.
Sector Performance Table: Ranks and displays the top 5 sectors for each timeframe, with color-coded performance values for easy comparison.
Top 5 Sector Performancehe indicator creates a table showing:
Top 5 performing sectors for 3 timeframes: 1-day, 10-day, and 20-day periods
Performance data including sector name and percentage change
Color-coded results: Green (positive), Red (negative), Gray ("N/A" for missing data)
Key Features
Table Structure:
Columns: Rank | 1-Day | 10-Day | 20-Day
Rows: Top 5 sectors for each timeframe
Header: Dark gray background with white text
Rows: Alternating dark gray shades for readability
LVN/HVN Auto Detection [PhenLabs]📊 PhenLabs - LVN/HVN Auto Detection
Version: PineScript™ v6
📌 Description
The PhenLabs LVN/HVN Auto Detection indicator is an advanced volume profile analysis tool that automatically identifies Low Volume Nodes (LVN) and High Volume Nodes (HVN) across multiple trading sessions. This sophisticated indicator analyzes volume distribution patterns to pinpoint critical support and resistance levels where price is likely to react, providing traders with high-probability zones for entries, exits, and risk management.
Unlike traditional volume indicators that only show current activity, this tool builds comprehensive volume profiles from historical sessions and intelligently filters the most significant levels. It combines real-time volume analysis with dynamic level detection, offering both visual bubbles for immediate volume activity and persistent horizontal lines that act as ongoing support/resistance references.
🚀 Points of Innovation
Multi-Session Volume Profile Analysis - Automatically calculates and analyzes volume profiles across the last 5 trading sessions
Intelligent Level Separation Logic - Prevents overlapping signals by maintaining minimum separation between LVN and HVN levels
Dynamic Timeframe Adaptation - Automatically adjusts session lengths based on chart timeframe for optimal level detection
Real-Time Activity Bubbles - Shows volume activity strength through different bubble sizes at key levels
Persistent Line Management - Creates horizontal lines that extend until price crosses them, providing ongoing reference points
Dual Threshold System - Independent percentage-based thresholds for both LVN and HVN identification
🔧 Core Components
Volume Profile Engine : Builds 20-row volume profiles for each analyzed session, distributing volume across price levels
Level Identification Algorithm : Uses percentage-based thresholds to classify volume distribution patterns
Separation Logic : Ensures minimum distance between conflicting levels, prioritizing HVN when overlap occurs
Line Management System : Tracks active support/resistance lines and removes them when price crosses through
Volume Activity Monitor : Compares current volume to 13-period moving average for activity classification
🔥 Key Features
Customizable Thresholds : LVN threshold (5-35%, default 20%) and HVN threshold (65-95%, default 80%) for precise level filtering
Volume Activity Multiplier : Adjustable volume threshold (0.5+, default 1.5) for bubble and line creation sensitivity
Flexible Display Modes : Choose between Lines only, Bubbles only, or Both for optimal chart clarity
Smart Level Separation : Minimum separation percentage (0.1-2%, default 0.5%) prevents conflicting signals
Color Customization : Independent color controls for LVN (red) and HVN (blue) elements
Performance Optimization : Processes every 15 bars with maximum 500 active lines for smooth operation
🎨 Visualization
Colored Bubbles : Three sizes (large, medium, small) indicate volume activity strength at key levels
Horizontal Lines : Persistent support/resistance lines with width corresponding to volume activity
Dual Color System : Semi-transparent red for LVN areas, semi-transparent blue for HVN zones
Information Tooltip : Optional table showing usage guidelines and optimization tips
📖 Usage Guidelines
Volume Thresholds
LVN Threshold
○ Default: 20.0%
○ Range: 5.0-35.0%
○ Description: Price levels with volume below this percentage are marked as LVNs. Lower values create fewer, more significant levels. Typical range 15-25% works for most instruments.
HVN Threshold
○ Default: 80.0%
○ Range: 65.0-95.0%
○ Description: Price levels with volume above this percentage are marked as HVNs. Higher values create fewer, stronger levels. Range 75-85% is optimal for most trading.
Display Controls
Volume Threshold
○ Default: 1.5
○ Range: 0.5+
○ Description: Multiplier for volume significance (High=2+threshold, Medium=1+threshold, Low=0+threshold). Higher values require more volume for signals.
✅ Best Use Cases
Swing Trading : Identify key levels for position entries and exits over multiple days
Scalping : Use bubbles for immediate volume activity confirmation at critical levels
Risk Management : Place stops beyond LVN levels where price moves quickly
Breakout Trading : Monitor HVN levels for potential breakout or rejection scenarios
Multi-Timeframe Analysis : Combine with higher timeframe levels for confluence
⚠️ Limitations
Timeframe Sensitivity : Lower timeframes may produce too many levels; higher timeframes recommended for cleaner signals
Volume Data Dependency : Accuracy depends on reliable volume data from your data provider
Historical Analysis : Uses past volume data which may not predict future price behavior
Performance Impact : High number of active lines may affect chart performance on slower devices
💡 What Makes This Unique
Automated Session Analysis : No manual drawing required - automatically analyzes multiple sessions
Intelligent Filtering : Advanced separation logic prevents overlapping and conflicting signals
Adaptive Processing : Adjusts to different timeframes automatically for optimal level detection
Dual Visualization System : Combines persistent lines with real-time activity indicators
🔬 How It Works
1. Volume Profile Construction :
Analyzes the last 5 trading sessions with dynamic session length based on timeframe
Divides each session’s price range into 20 equal levels for volume distribution analysis
2. Level Classification :
Calculates volume percentage at each price level relative to session maximum
Identifies LVN levels below threshold and HVN levels above threshold
3. Signal Generation :
Creates bubbles when volume activity exceeds thresholds at identified levels
Draws horizontal lines that persist until price crosses through them
💡 Note : For optimal results, increase your chart timeframe if you see too many levels. The indicator performs best on 15-minute and higher timeframes where volume patterns are more meaningful and less noisy.
Quantum Reversal# 🧠 Quantum Reversal
## **Quantitative Mean Reversion Framework**
This algorithmic trading system employs **statistical mean reversion theory** combined with **adaptive volatility modeling** to capitalize on Bitcoin's inherent price oscillations around its statistical mean. The strategy integrates multiple technical indicators through a **multi-layered signal processing architecture**.
---
## ⚡ **Core Technical Architecture**
### 📊 **Statistical Foundation**
- **Bollinger Band Mean Reversion Model**: Utilizes 20-period moving average with 2.2 standard deviation bands for volatility-adjusted entry signals
- **Adaptive Volatility Threshold**: Dynamic standard deviation multiplier accounts for Bitcoin's heteroscedastic volatility patterns
- **Price Action Confluence**: Entry triggered when price breaches lower volatility band, indicating statistical oversold conditions
### 🔬 **Momentum Analysis Layer**
- **RSI Oscillator Integration**: 14-period Relative Strength Index with modified oversold threshold at 45
- **Signal Smoothing Algorithm**: 5-period simple moving average applied to RSI reduces noise and false signals
- **Momentum Divergence Detection**: Captures mean reversion opportunities when momentum indicators show oversold readings
### ⚙️ **Entry Logic Architecture**
```
Entry Condition = (Price ≤ Lower_BB) OR (Smoothed_RSI < 45)
```
- **Dual-Condition Framework**: Either statistical price deviation OR momentum oversold condition triggers entry
- **Boolean Logic Gate**: OR-based entry system increases signal frequency while maintaining statistical validity
- **Position Sizing**: Fixed 10% equity allocation per trade for consistent risk exposure
### 🎯 **Exit Strategy Optimization**
- **Profit-Lock Mechanism**: Positions only closed when showing positive unrealized P&L
- **Trend Continuation Logic**: Allows winning trades to run until momentum exhaustion
- **Dynamic Exit Timing**: No fixed profit targets - exits based on profitability state rather than arbitrary levels
---
## 📈 **Statistical Properties**
### **Risk Management Framework**
- **Long-Only Exposure**: Eliminates short-squeeze risk inherent in cryptocurrency markets
- **Mean Reversion Bias**: Exploits Bitcoin's tendency to revert to statistical mean after extreme moves
- **Position Management**: Single position limit prevents over-leveraging
### **Signal Processing Characteristics**
- **Noise Reduction**: SMA smoothing on RSI eliminates high-frequency oscillations
- **Volatility Adaptation**: Bollinger Bands automatically adjust to changing market volatility
- **Multi-Timeframe Coherence**: Indicators operate on consistent timeframe for signal alignment
---
## 🔧 **Parameter Configuration**
| Technical Parameter | Value | Statistical Significance |
|-------------------|-------|-------------------------|
| Bollinger Period | 20 | Standard statistical lookback for volatility calculation |
| Std Dev Multiplier | 2.2 | Optimized for Bitcoin's volatility distribution (95.4% confidence interval) |
| RSI Period | 14 | Traditional momentum oscillator period |
| RSI Threshold | 45 | Modified oversold level accounting for Bitcoin's momentum characteristics |
| Smoothing Period | 5 | Noise reduction filter for momentum signals |
---
## 📊 **Algorithmic Advantages**
✅ **Statistical Edge**: Exploits documented mean reversion tendency in Bitcoin markets
✅ **Volatility Adaptation**: Dynamic bands adjust to changing market conditions
✅ **Signal Confluence**: Multiple indicator confirmation reduces false positives
✅ **Momentum Integration**: RSI smoothing improves signal quality and timing
✅ **Risk-Controlled Exposure**: Systematic position sizing and long-only bias
---
## 🔬 **Mathematical Foundation**
The strategy leverages **Bollinger Band theory** (developed by John Bollinger) which assumes that prices tend to revert to the mean after extreme deviations. The RSI component adds **momentum confirmation** to the statistical price deviation signal.
**Statistical Basis:**
- Mean reversion follows the principle that extreme price deviations from the moving average are temporary
- The 2.2 standard deviation multiplier captures approximately 97.2% of price movements under normal distribution
- RSI momentum smoothing reduces noise inherent in oscillator calculations
---
## ⚠️ **Risk Considerations**
This algorithm is designed for traders with understanding of **quantitative finance principles** and **cryptocurrency market dynamics**. The strategy assumes mean-reverting behavior which may not persist during trending market phases. Proper risk management and position sizing are essential.
---
## 🎯 **Implementation Notes**
- **Market Regime Awareness**: Most effective in ranging/consolidating markets
- **Volatility Sensitivity**: Performance may vary during extreme volatility events
- **Backtesting Recommended**: Historical performance analysis advised before live implementation
- **Capital Allocation**: 10% per trade sizing assumes diversified portfolio approach
---
**Engineered for quantitative traders seeking systematic mean reversion exposure in Bitcoin markets through statistically-grounded technical analysis.**
Canuck Trading Trader StrategyCanuck Trading Trader Strategy
Overview
The Canuck Trading Trader Strategy is a high-performance, trend-following trading system designed for NASDAQ:TSLA on a 15-minute timeframe. Optimized for precision and profitability, this strategy leverages short-term price trends to capture consistent gains while maintaining robust risk management. Ideal for traders seeking an automated, data-driven approach to trading Tesla’s volatile market, it delivers strong returns with controlled drawdowns.
Key Features
Trend-Based Entries: Identifies short-term trends using a 2-candle lookback period and a minimum trend strength of 0.2%, ensuring responsive trade signals.
Risk Management: Includes a configurable 3.0% stop-loss to cap losses and a 2.0% take-profit to lock in gains, balancing risk and reward.
High Precision: Utilizes bar magnification for accurate backtesting, reflecting realistic trade execution with 1-tick slippage and 0.1 commission.
Clean Interface: No on-chart indicators, providing a distraction-free trading experience focused on performance.
Flexible Sizing: Allocates 10% of equity per trade with support for up to 2 simultaneous positions (pyramiding).
Performance Highlights
Backtested from March 1, 2024, to June 20, 2025, on NASDAQ:TSLA (15-minute timeframe) with $1,000,000 initial capital:
Net Profit: $2,279,888.08 (227.99%)
Win Rate: 52.94% (3,039 winning trades out of 5,741)
Profit Factor: 3.495
Max Drawdown: 2.20%
Average Winning Trade: $1,050.91 (0.55%)
Average Losing Trade: $338.20 (0.18%)
Sharpe Ratio: 2.468
Note: Past performance is not indicative of future results. Always validate with your own backtesting and forward testing.
Usage Instructions
Setup:
Apply the strategy to a NASDAQ:TSLA 15-minute chart.
Ensure your TradingView account supports bar magnification for accurate results.
Configuration:
Lookback Candles: Default is 2 (recommended).
Min Trend Strength: Set to 0.2% for optimal trade frequency.
Stop Loss: Default 3.0% to cap losses.
Take Profit: Default 2.0% to secure gains.
Order Size: 10% of equity per trade.
Pyramiding: Allows up to 2 orders.
Commission: Set to 0.1.
Slippage: Set to 1 tick.
Enable "Recalculate After Order is Filled" and "Recalculate on Every Tick" in backtest settings.
Backtesting:
Run backtests over March 1, 2024, to June 20, 2025, to verify performance.
Adjust stop-loss (e.g., 2.5%) or take-profit (e.g., 1–3%) to suit your risk tolerance.
Live Trading:
Use with a compatible broker or TradingView alerts for automated execution.
Monitor execution for slippage or latency, especially given the high trade frequency (5,741 trades).
Validate in a demo account before deploying with real capital.
Risk Disclosure
Trading involves significant risk and may result in losses exceeding your initial capital. The Canuck Trading Trader Strategy is provided for educational and informational purposes only. Users are responsible for their own trading decisions and should conduct thorough testing before using in live markets. The strategy’s high trade frequency requires reliable execution infrastructure to minimize slippage and latency.
Intermarket Correlation Oscillator (ICO)The Intermarket Correlation Oscillator (ICO) is a TradingView indicator that helps traders analyze the relationship between two assets, such as stocks, indices, or cryptocurrencies, by measuring their price correlation. It displays this correlation as an oscillator ranging from -1 to +1, making it easy to spot whether the assets move together, oppositely, or independently. A value near +1 indicates strong positive correlation (assets move in the same direction), near -1 shows strong negative correlation (opposite movements), and near 0 suggests no correlation. This tool is ideal for confirming trends, spotting divergences, or identifying hedging opportunities across markets.
How It Works?
The ICO calculates the Pearson correlation coefficient between the chart’s primary asset (e.g., Apple stock) and a secondary asset you choose (e.g., SPY for the S&P 500) over a specified number of bars (default: 20). The oscillator is plotted in a separate pane below the chart, with key levels at +0.8 (overbought, strong positive correlation) and -0.8 (oversold, strong negative correlation). A midline at 0 helps gauge neutral correlation. When the oscillator crosses these levels or the midline, labels ("OB" for overbought, "OS" for oversold) and alerts notify you of significant shifts. Shaded zones highlight extreme correlations (red for overbought, green for oversold) if enabled.
Why Use the ICO?
Trend Confirmation: High positive correlation (e.g., SPY and QQQ both rising) confirms market trends.
Divergence Detection: Negative correlation (e.g., DXY rising while stocks fall) signals potential reversals.
Hedging: Identify negatively correlated assets to balance your portfolio.
Market Insights: Understand how assets like stocks, bonds, or crypto interact.
Easy Steps to Use the ICO in TradingView
Add the Indicator:
Open TradingView and load your chart (e.g., AAPL on a daily timeframe).
Go to the Pine Editor at the bottom of the TradingView window.
Copy and paste the ICO script provided earlier.
Click "Add to Chart" to display the oscillator below your price chart.
Configure Settings:
Click the gear icon next to the indicator’s name in the chart pane to open settings.
Secondary Symbol: Choose an asset to compare with your chart’s symbol (e.g., "SPY" for S&P 500, "DXY" for USD Index, or "BTCUSD" for Bitcoin). Default is SPY.
Correlation Lookback Period: Set the number of bars for calculation (default: 20). Use 10-14 for short-term trading or 50 for longer-term analysis.
Overbought/Oversold Levels: Adjust thresholds (default: +0.8 for overbought, -0.8 for oversold) to suit your strategy. Lower values (e.g., ±0.7) give more signals.
Show Midline/Zones: Check boxes to display the zero line and shaded overbought/oversold zones for visual clarity.
Interpret the Oscillator:
Above +0.8: Strong positive correlation (red zone). Assets move together.
Below -0.8: Strong negative correlation (green zone). Assets move oppositely.
Near 0: No clear relationship (midline reference).
Labels: "OB" or "OS" appears when crossing overbought/oversold levels, signaling potential correlation shifts.
Set Up Alerts:
Right-click the indicator, select "Add Alert."
Choose conditions like "Overbought Alert" (crossing above +0.8), "Oversold Alert" (crossing below -0.8), or zero-line crossings for bullish/bearish correlation shifts.
Configure notifications (e.g., email, SMS) to stay informed.
Apply to Trading:
Use positive correlation to confirm trades (e.g., buy AAPL if SPY is rising and correlation is high).
Spot divergences for reversals (e.g., stocks dropping while DXY rises with negative correlation).
Combine with other indicators like RSI or moving averages for stronger signals.
Tips for New Users
Start with related assets (e.g., SPY and QQQ for tech stocks) to see clear correlations.
Test on a demo account to understand signals before trading live.
Be aware that correlation is a lagging indicator; confirm signals with price action.
If the secondary symbol doesn’t load, ensure it’s valid on TradingView (e.g., use correct ticker format).
The ICO is a powerful, beginner-friendly tool to explore intermarket relationships, enhancing your trading decisions with clear visual cues and alerts.
