Volume and Volatility Ratio Indicator-WODI策略名称
交易量与波动率比例策略-WODI
一、用户自定义参数
vol_length：交易量均线长度，计算基础交易量活跃度。
index_short_length / index_long_length：指数短期与长期均线长度，用于捕捉中短期与中长期趋势。
index_magnification：敏感度放大倍数，调整指数均线的灵敏度。
index_threshold_magnification：阈值放大因子，用于动态过滤噪音。
lookback_bars：形态检测回溯K线根数，用于捕捉反转模式。
fib_tp_ratio / fib_sl_ratio：斐波那契止盈与止损比率，分别对应黄金分割（0.618/0.382 等）级别。
enable_reversal：反转信号开关，开启后将原有做空信号反向为做多信号，用于单边趋势加仓。
二、核心计算逻辑
交易量百分比
使用 ta.sma 计算 vol_ma，并得到 vol_percent = volume / vol_ma * 100。
价格波动率
volatility = (high – low) / close * 100。
构建复合指数
volatility_index = vol_percent * volatility，并分别计算其短期与长期均线（乘以 index_magnification）。
动态阈值
index_threshold = index_long_ma * index_threshold_magnification，过滤常规波动。
三、信号生成与策略执行
做多/做空信号
当短期指数均线自下而上突破长期均线，且 volatility_index 突破 index_threshold 时，发出做多信号。
当短期指数均线自上而下跌破长期均线，且 volatility_index 跌破 index_threshold 时，发出做空信号。
反转信号模式（可选）
若 enable_reversal = true，则所有做空信号反向为做多，用于在强趋势行情中加仓。
止盈止损管理
进场后自动设置斐波那契止盈位（基于入场价 × fib_tp_ratio）和止损位（入场价 × fib_sl_ratio）。
支持多级止盈：可依次以 0.382、0.618 等黄金分割比率分批平仓。
四、图表展示
策略信号标记：图上用箭头标明每次做多/做空（或反转加仓）信号。
斐波那契区间：在K线图中显示止盈/止损水平线。
复合指数与阈值线：与原版相同，在独立窗口绘制短、长期指数均线、指数曲线及阈值。
量能柱状：高于均线时染色，反转模式时额外高亮。
Strategy Name
Volume and Volatility Ratio Strategy – WODI
1. User-Defined Parameters
vol_length: Length for volume SMA.
index_short_length / index_long_length: Short and long MA lengths for the composite index.
index_magnification: Sensitivity multiplier for index MAs.
index_threshold_magnification: Threshold multiplier to filter noise.
lookback_bars: Number of bars to look back for pattern detection.
fib_tp_ratio / fib_sl_ratio: Fibonacci take-profit and stop-loss ratios (e.g. 0.618, 0.382).
enable_reversal: Toggle for reversal mode; flips short signals to long for trend-following add-on entries.
2. Core Calculation
Volume Percentage:
vol_ma = ta.sma(volume, vol_length)
vol_percent = volume / vol_ma * 100
Volatility:
volatility = (high – low) / close * 100
Composite Index:
volatility_index = vol_percent * volatility
Short/long MAs applied and scaled by index_magnification.
Dynamic Threshold:
index_threshold = index_long_ma * index_threshold_magnification.
3. Signal Generation & Execution
Long/Short Entries:
Long when short MA crosses above long MA and volatility_index > index_threshold.
Short when short MA crosses below long MA and volatility_index < index_threshold.
Reversal Mode (optional):
If enable_reversal is on, invert all short entries to long to scale into trending moves.
Fibonacci Take-Profit & Stop-Loss:
Automatically set TP/SL levels at entry price × respective Fibonacci ratios.
Supports multi-stage exits at 0.382, 0.618, etc.
4. Visualization
Signal Arrows: Marks every long/short or reversal-add signal on the chart.
Fibonacci Zones: Plots TP/SL lines on the price panel.
Index & Threshold: Same as v1.0, with MAs, index curve, and threshold in a separate sub-window.
Volume Bars: Colored when above vol_ma; extra highlight if a reversal-add signal triggers
Komut dosyalarını "如何用wind搜索股票的发行价和份数" için ara
Adaptive Multi-TF Indicator Table with Presets giua64📌 Script Name:
Adaptive Multi-Timeframe Indicator Table with Presets — giua64
📄 Description:
This script displays an adaptive multi-timeframe dashboard that summarizes the signals of three key technical indicators:
Moving Averages (MAs), Relative Strength Index (RSI), and MACD.
It provides a fast and visually intuitive overview of market conditions across five timeframes (5m, 15m, 30m, 1h, 4h), helping traders quickly identify potential directional biases (e.g., bullish, bearish, or neutral) based on either predefined presets or fully manual settings.
🧰 Preset Configurations:
You can choose between four trading styles, each with optimized indicator parameters:
Scalping
• MAs: 5 / 10 (Fast), 20 / 50 (Slow)
• RSI: 7 periods | Overbought: 70 | Oversold: 30
• MACD: 5 / 13 | Signal: 3
Intraday
• MAs: 9 / 21 (Fast), 50 / 100 (Slow)
• RSI: 14 periods | Overbought: 60 | Oversold: 40
• MACD: 12 / 26 | Signal: 9
Swing
• MAs: 10 / 20 (Fast), 50 / 200 (Slow)
• RSI: 14 periods | Overbought: 65 | Oversold: 35
• MACD: 12 / 26 | Signal: 9
Manual
• Full custom control over all indicator settings.
🛠️ All settings can be customized manually from the options panel, including the exact MA periods, RSI thresholds, and MACD structure.
🧠 How It Works:
For each timeframe, the script evaluates:
MA crossover status (two levels):
The first symbol refers to the crossover of the fast MAs
The second symbol refers to the crossover of the slow MAs
🟢 = Bullish crossover
🔴 = Bearish crossover
➖ = Flat or no clear signal
RSI Direction:
↑ = RSI above upper threshold (potential overbought)
↓ = RSI below lower threshold (potential oversold)
→ = RSI in neutral range
MACD Line vs Signal Line:
↑ = MACD line is above signal line (bullish)
↓ = MACD line is below signal line (bearish)
→ = Flat or neutral signal
Each signal is assigned a numerical score. These are aggregated per timeframe to compute a combined score that reflects the directional bias for that specific time window.
🧠 Adaptive Logic by Asset:
This script is designed to be universally compatible across all asset types — including forex, crypto, stocks, indices, and commodities.
Thanks to its multi-timeframe nature and flexible indicator presets, the script automatically adjusts its behavior based on the asset selected, ensuring relevant analysis without requiring manual recalibration.
🧾 Summary Table Output:
At the bottom of the dashboard, a combined sentiment is displayed for:
3TF → 5m, 15m, 30m
4TF → Adds 1h
5TF → Adds 4h
Each row shows:
Signal → LONG / SHORT / NEUTRAL
Confidence (%) → Based on score aggregation and signal consistency
📌 Customization Options:
Table Position: Left, Right, or Center
Text Size: Small, Normal, or Large
Full Manual Configuration: All MA, RSI, and MACD parameters can be adjusted as needed
⚠️ Disclaimer:
This script is for educational and analytical purposes only.
It does not constitute financial advice or guarantee any trading results.
Always do your own research and apply responsible risk management.
Weighted Regression Bands (Zeiierman)█ Overview
Weighted Regression Bands is a precision-engineered trend and volatility tool designed to adapt to the real market structure instead of reacting to price noise.
This indicator analyzes Weighted High/Low medians and applies user-selectable smoothing methods — including Kalman Filtering, ALMA, and custom Linear Regression — to generate a Fair Value line. Around this, it constructs dynamic standard deviation bands that adapt in real-time to market volatility.
The result is a visually clean and structurally intelligent trend framework suitable for breakout traders, mean reversion strategies, and trend-driven analysis.
█ How It Works
⚪ Structural High/Low Analysis
At the heart of this indicator is a custom high/low weighting system. Instead of using just the raw high or low values, it calculates a midline = (high + low) / 2, then applies one of three weighting methods to determine which price zones matter most.
Users can select the method using the “Weighted HL Method” setting:
Simple
Selects the single most dominant median (highest or lowest) in the lookback window. Ideal for fast, reactive signals.
Advanced
Ranks each bar based on a composite score: median × range × recency. This method highlights structurally meaningful bars that had both volatility and recency. A built-in Kalman filter is applied for extra stability.
Smooth
Blends multiple bars into a single weighted average using smoothed decay and range. This provides the softest and most stable structural response.
⚪ Smoothing Methods (ALMA / Linear Regression)
ALMA provides responsive, low-lag smoothing for fast trend reading.
Linear Regression projects the Fair Value forward, ideal for trend modeling.
⚪ Kalman Smoothing Filter
Before trend calculations, the indicator applies an optional Kalman-style smoothing filter. This helps:
Reduce choppy false shifts in trend,
Retain signal clarity during volatile periods,
Provide stability for long-term setups.
⚪ Deviation Bands (Dynamic Volatility Envelopes)
The indicator builds ±1, ±2, and ±3 standard deviation bands around the fair value line:
Calculated from the standard deviation of price,
Bands expand and contract based on recent volatility,
Visualizes potential overbought/oversold or trending conditions.
█ How to Use
⚪ Trend Trading & Filtering
Use the Fair Value line to identify the dominant direction.
Only trade in the direction of the slope for higher probability setups.
⚪ Volatility-Based Entries
Watch for price reaching outer bands (+2σ, +3σ) for possible exhaustion.
Mean reversion entries become higher quality when far from Fair Value.
█ Settings
Length – Lookback for Weighted HL and trend smoothing
Deviation Multiplier – Controls how wide the bands are from the fair value line
Method – Choose between ALMA or Linear Regression smoothing
Smoothing – Strength of Kalman Filter (1 = none, <1 = stronger smoothing)
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Interest Zones | @CRYPTOKAZANCEVEnglish Description.
🧠 What This Script Does
This script automatically detects price interest zones — areas where the price repeatedly reacts by forming local swing highs or lows , suggesting heightened supply/demand or market attention. It uses a custom volatility-adjusted range (pseudo-ATR) to dynamically group significant swing points and highlights these zones visually on the chart.
The script is not a mashup or copy of built-in indicators. It’s an original implementation that performs a meaningful calculation based on market structure and volatility to help traders identify important price areas.
⚙️ How It Works
1. Swing Point Detection:
The script identifies swing highs and lows using a configurable lookback window.
2. Zone Candidate Evaluation:
Each swing is checked against a custom zone width (based on ATR and your multiplier). If multiple swings fall within this range, it’s marked as a potential zone.
3. Filtering:
The script keeps only those zones that:
• Contain at least a user-defined number of swing points.
• Do not overlap with stronger (higher swing count) zones.
4. Visualization:
• The strongest zones are drawn as semi-transparent boxes.
• Zones are limited by time (last X candles).
• Optional: Swing highs/lows can be shown on chart.
📊 How to Use
• Use it on any timeframe or asset to identify price regions of interest.
• Combine with volume, trend, or candlestick analysis for entries/exits.
• The number of touches (swing points in a zone) gives insight into zone significance.
This tool is particularly useful for identifying support/resistance areas based on actual price structure rather than arbitrary levels.
🔧 Settings
• Swing Lookback Period: Controls how many candles on each side of a pivot the script checks to detect a local high/low.
• Zone Width Multiplier: Adjusts the volatility-based range. Larger values create wider zones.
• Min Swing Count: Zones with fewer swing points than this won't be shown.
• Max Zones Displayed: Limits the number of zones shown on screen.
• Max Candles for Analysis: Old swing points beyond this range are ignored.
📌 Notes
• No third-party code or mashups used.
• This is a standalone implementation of a concept similar to market structure mapping, tailored to be dynamic and responsive to volatility.
• Ideal for traders who prefer clean, price-action-based analysis.
🇷🇺 Русское описание
🧠 Что делает этот индикатор:
Индикатор автоматически определяет зоны интереса цены — области, где цена многократно формирует локальные максимумы или минимумы (свинги) . Эти зоны могут сигнализировать о повышенном внимании рынка, предложении или спросе. Скрипт использует псевдо-ATR (волатильность на основе среднего диапазона), чтобы динамически определять такие области и выделяет их на графике.
Это не копия стандартных индикаторов и не микс чужих скриптов — это оригинальная разработка , полезная для всех, кто ищет автоматическую разметку важных ценовых уровней.
⚙️ Как работает индикатор
1. Поиск свинг-точек:
Определяются локальные экстремумы с учетом указанного периода.
2. Формирование кандидатов в зоны:
Каждая свинг-точка проверяется, есть ли в её диапазоне другие свинги. Если таких достаточно — зона считается потенциальной.
3. Фильтрация зон:
• Учитываются только зоны с минимумом заданных свингов.
• Перекрывающиеся зоны удаляются в пользу более значимых.
4. Визуализация:
• Отображаются зоны с наибольшим числом касаний.
• Зоны ограничиваются последними X свечами.
• При желании можно отобразить сами свинг-точки.
📊 Как использовать
• Работает на любом таймфрейме и инструменте.
• Используйте совместно с объёмами, трендом или свечным анализом.
• Количество касаний помогает оценить важность зоны.
Полезен тем, кто предпочитает анализ на основе структуры цены, а не произвольных уровней.
🔧 Настройки
• Период свингов: Сколько свечей учитывается по бокам для поиска экстремумов.
• Множитель зоны: Увеличивает диапазон зоны на основе волатильности.
• Мин. количество свингов: Минимум точек в зоне для её отображения.
• Макс. зон на графике: Ограничение по количеству отображаемых зон.
• Макс. свечей анализа: Старые точки за пределами не учитываются.
📌 Примечания
• Не содержит чужих индикаторов или шаблонов.
• Самостоятельная реализация механизма анализа структуры рынка.
Relative Performance Spread**Relative Performance Spread Indicator – Overview**
This indicator compares the **relative performance between two stocks** by normalizing their prices and calculating the **spread**, **area under the curve (AUC)**, or **normalized price ratio**.
### **How It Works**
* **Input**: Select a second stock (`ticker2`) and a moving average window.
* **Normalization**: Each stock is normalized by its own moving average → `norm = close / MA`.
* **Spread**: The difference `spread = norm1 - norm2` reflects which stock is outperforming.
* **AUC**: Cumulative spread over time shows prolonged dominance or underperformance.
* **Bounds**: Bollinger-style bands are drawn around the spread to assess deviation extremes.
### **Usage**
* **Plot Type Options**:
* `"Spread"`: Spot outperformance; crossing bands may signal rotation.
* `"AUC"`: Track long-term relative trend dominance.
* `"Normalized"`: Directly compare scaled price movements.
Use this tool for **pair trading**, **relative momentum**, or **rotation strategies**. It adapts well across assets with different price scales.
Momentum TrackerDescription
To screen for momentum movers, one can filter for stocks that have made a noticeable move over a set period. This initial move defines the momentum or swing move. From this list of candidates, we can create a watchlist by selecting those showing a momentum pause, such as a pullback or consolidation, which later could set up for a continuation.
Momentum = Magnitude × Time
This Momentum Tracker indicator serves as a study tool to visualize when stocks historically met these momentum conditions. It marks on the chart where a stock would have appeared on the screener, allowing us to review past momentum patterns and screener requirements. The indicator measures momentum in three different ways:
Normalized Momentum
Identifies when the current price reaches a new high or low compared to a historical window. This is the most standardized measurement and adapts well across markets.
Normalized = Current Price ≥ Maximum Price in Lookback
Normalized = Current Price ≤ Minimum Price in Lookback
Relative Momentum
Measures the percentage difference between a fast and a slow moving average. This method helps capture acceleration, the rate at which momentum is building over time.
Relative = |Fast MA − Slow MA| ÷ Slow MA × 100
Absolute Momentum
Measures how far price has moved from the highest or lowest point within a defined lookback period.
Absolute = (Current Price − Lowest Price) ÷ Lowest Price × 100
Absolute = (Highest Price − Current Price) ÷ Highest Price × 100
Customization
The tool is customizable in terms of lookback period and thresholds to accommodate different trading styles and timeframes, allowing users to set criteria that align with specific hold times and momentum requirements. While the various calculations can be enabled, the tool is best used in isolation of each to visualize different momentum conditions.
Gamma Blast Detector (Nifty)The Gamma Blast Detector (Nifty) is a custom TradingView indicator designed to help intraday traders identify sudden and explosive price movements—commonly referred to as "gamma blasts"—in the Nifty index during the final minutes of the trading session, particularly on expiry days. These movements are typically caused by rapid delta changes in ATM options, resulting in aggressive short-covering or option unwinding.
This indicator specifically monitors price action between 3:10 PM and 3:20 PM IST, which translates to 09:40 AM to 09:50 AM UTC on TradingView. It is optimized for use on 5-minute charts of the Nifty spot or futures index, where gamma-driven volatility is most likely to occur during this time window.
The core logic behind the indicator involves identifying unusually large candles within this time frame. It compares the size of the current candle to the average size of the previous five candles. If the current candle is at least twice as large and shows clear direction (bullish or bearish), the script flags it as a potential gamma blast. A bullish candle suggests a Call Option (CE) is likely to blast upward, while a bearish candle points to a Put Option (PE) gaining sharply.
When such a condition is detected, the indicator visually marks the candle on the chart: a "CE 🚀" label is shown below the candle for a bullish move, and a "PE 🔻" label appears above for a bearish move. It also includes alert conditions, allowing users to set real-time alerts for potential blasts and act quickly.
This tool is especially useful for expiry day scalpers, option traders, and anyone looking to ride momentum generated by gamma effects in the final minutes of the market. It provides a visual and alert-based edge to anticipate short-term, high-impact moves often missed in normal technical analysis.
(FVC) Fractal Volatility Compression (DAFE) (FVC) Fractal Volatility Compression
See the Market’s Volatility DNA.
The Fractal Volatility Compression (FVC) is a next-generation tool for traders who want to see volatility compression and expansion across multiple timeframes and volatility engines—not just price, but the very structure of volatility itself.
What Makes FVC Unique?
Dual-Engine Volatility:
Plots both classic price-based (Stdev) and meta-volatility (VoVix) compression/expansion, so you can see when the market is “coiling” or “exploding” on multiple levels.
Fractal, Multi-Timeframe Analysis:
Measures volatility on short, medium, and long timeframes, then normalizes each as a Z-score. The result: a true “coiled spring” detector that works on any asset, any timeframe.
Threshold Lines You Control:
Yellow center line: Your neutral baseline.
Green compression line: When crossed, the market is “spring-loading.”
Red expansion line: When crossed, volatility is breaking out.
All lines are solid, clean, and end before the dashboard for a professional look.
Agreement Fill: When both engines agree (both above or both below the center line), a bright fill highlights the zone—red for expansion, green for compression.
Signature Dashboard & Info Line:
Dashboard (right-middle) shows all Z-scores and FVC values, color-coded for instant clarity.
Compact info label for mobile or minimalist users.
Inputs & Customization
Thresholds: Set the yellow, green, and red lines to match your asset, timeframe, and risk tolerance.
Timeframes & Lengths: Tune the short, medium, and long volatility windows for your style.
Toggle Lines: Show/hide Stdev or VoVix FVC lines independently.
Dashboard & Info Line: Toggle for your workflow and screen size.
How to Use
Compression (below green): Market is “coiling” across timeframes—watch for explosive moves.
Expansion (above red): Volatility is breaking out—expect regime shifts or trend acceleration.
Agreement Fill: When both lines agree, the signal is strongest.
Not a Buy/Sell Signal: These are regime and structure signals—combine with your own
strategy and risk management.
Why should you use FVC?
See what others can’t:
Most tools show only one dimension of volatility. FVC reveals the fractal DNA of market compression and expansion. Works on any asset, any timeframe. Professional, clean, and fully customizable.
Fractal Volatility Compression (FVC):
Because the next big move is born in the market’s hidden compression.
For educational purposes only. Not financial advice. Always use proper risk management
Use with discipline. Trade your edge.
— Dskyz, for DAFE Trading Systems
Aggregated Perpetual Futures Open InterestPurpose
Aggregates perpetual futures open interest across Binance, Bybit, and OKX for the base currency of the asset loaded in your tradingview window.
How It Works
Symbol detection: The script grabs syminfo.basecurrency (e.g., “BTC”) from whatever market is on screen.
Ticker mapping: It constructs the three perp-OI feeds that TradingView publishes in the form EXCHANGE:USDT.P_OI
Data request: For each feed it fetches the full OHLC candle (request.security) on the chart’s timeframe. If a venue doesn’t list that perp, the request simply returns na.
Aggregation: The script adds the opens, highs, lows, and closes of all non-na feeds to produce a single aggregated OI candle.
General Notes
The status line shows each venue’s individual OI close.
Pulse DPO with Z-Score📌 Pulse DPO with Z-Score — Indicator Description (English)
The Pulse DPO (Detrended Price Oscillator) helps identify major market cycle tops and bottoms by removing long-term trends and focusing on shorter-term price cycles.
This enhanced version includes:
A normalized oscillator (0–100) based on recent price deviations.
A smoothed signal to reduce noise.
A Z-Score transformation, scaling the output to a range from –3 to +3, where:
–3 represents extreme oversold conditions (former normalized value = 100),
+3 represents extreme overbought conditions (former normalized value = 1).
🔍 How it works:
The indicator subtracts a delayed moving average from price to isolate short-term cycles (DPO logic).
It then normalizes the oscillator within a lookback window.
Finally, it converts this to a Z-Score scale for easier interpretation of extremes.
🟢 Suggested Usage:
Consider Long entries or Short exits when Z-Score reaches –2 to –3 (deep oversold).
Consider Short entries or Long exits when Z-Score reaches +2 to +3 (deep overbought).
Use in combination with other signals for higher-confidence setups.
Money Flow: In & Out Detector[THANHCONG]Indicator Name:
Money Flow: In & Out Detector
Indicator Description:
The Money Flow: In & Out Detector indicator uses technical indicators such as RSI (Relative Strength Index), MFI (Money Flow Index), and volume analysis to determine money inflow and outflow in the market.
This indicator helps traders identify changes in money flow, allowing them to detect buy and sell signals based on the combination of the following factors:
RSI > 50 and MFI > 50: Money inflow, indicating a buy signal.
RSI < 50 and MFI < 50: Money outflow, indicating a sell signal.
Volume increase/decrease relative to the average: Identifies strong market behavior changes.
Adjustable Parameters:
RSI Length: The number of periods to calculate the RSI (default is 14).
MFI Length: The number of periods to calculate the MFI (default is 14).
Volume MA Length: The number of periods to calculate the moving average of volume (default is 20).
Volume Increase/Decrease (%): The percentage threshold for volume change compared to the moving average (default is 20%).
Look Back Period: The number of periods used to identify peaks and troughs (default is 20).
How to Use the Indicator:
Money Inflow: When both RSI and MFI are above 50, and volume increases significantly relative to the moving average, the indicator shows a Buy signal.
Money Outflow: When both RSI and MFI are below 50, and volume decreases significantly relative to the moving average, the indicator shows a Sell signal.
Identifying Peaks and Troughs: The indicator also helps identify market peaks and troughs based on technical conditions.
Note:
This indicator assists in decision-making, but does not replace comprehensive market analysis.
Use this indicator in conjunction with other technical analysis methods to increase the accuracy of trade signals.
Steps for Publishing the Indicator on TradingView:
Log in to TradingView:
Go to TradingView and log into your account.
Access Pine Script Editor:
Click on Pine Editor from the menu under the chart.
Paste your Pine Script® code into the editor window.
Check the Source Code:
Ensure your code is error-free and running correctly.
Review the entire source code and add the MPL-2.0 license notice if necessary.
Save and Publish:
After testing and confirming the code works correctly, click Add to Chart to try the indicator on your chart.
If satisfied with the result, click Publish Script at the top right of the Pine Editor.
Provide a name for the indicator and then enter the detailed description you’ve prepared.
Ensure you specify the MPL-2.0 license in the description if required.
Choose the Access Type:
You can choose either Public or Private access for your indicator depending on your intention.
Submit for Publication:
Wait for TradingView to review and approve your indicator. Typically, this process takes a few working days for verification and approval.
User Guide:
You can share detailed instructions for users on how to use the indicator on TradingView, including how to adjust the parameters and interpret the signals. For example:
Set RSI Length: Experiment with different RSI Length values to find the sensitivity that suits your strategy.
Interpreting In/Out Signals: When there is strong money inflow (In), consider entering a buy order. When there is strong money outflow (Out), consider selling.
0830-0845 High/Low Marker (Accurate Start + History)This indicator marks the high and low of the 15-minute candle between 08:30 and 08:45 (local time) of the trading session. The high and low are tracked dynamically, with the lines drawn once the 08:45 candle closes.
Key Features:
Session-based Tracking: Automatically tracks and records the high and low of the 15-minute period starting at 08:30 and ending at 08:45.
Excludes 08:45 High : If a high is created exactly at 08:45, the indicator will ignore it and use the highest value before 08:45, ensuring it only references the price action during the specified window.
Line Extension : The high and low lines are drawn and extended to the right for a user-defined number of bars, making them visible beyond the session's close.
Customizable Parameters : Adjust the start and end times of the session, line colors, and line width to fit your preferences.
Use Case :
Ideal for traders who focus on the price action during the early part of the trading session (08:30 to 08:45) and want to track significant levels of support and resistance from that period.
The extended lines help identify potential price zones for the rest of the session or the trading day.
Key Recent Highs and LowsKey Recent Highs & Lows — Session‐Aware Market Structure
TL;DR
This tool plots the most important intraday price extremes for every U.S.‑equity trading segment—Early Premarket • Western Premarket • Regular Hours • Post‑Market Hours • Yesterday’s Range—and labels them so you can trade break‑outs, retests and mean‑reversion with instant context.
📐 Theory & Why These Levels Matter
Liquidity Pools
Visible session extremes attract resting orders (stop‑losses, take‑profits, opening prints). Price often accelerates into them and reacts at them.
Market Memory
The previous day’s high/low is a widely‑watched pivot for gap fills, overnight inventory corrections and multi‑day breakouts.
Mean‑Reversion Windows
Statistically, pre‑ and post‑market ranges are thin; an aggressive spike outside those bands often retraces when full liquidity returns.
Break‑Out Confirmation
A true breakout isn’t just a tick above RTH‑high—it usually closes or at least consolidates above the prior extreme. Seeing all bands lets you gauge whether a push is “real” or just probing thinner sessions.
Put simply, these levels help you decide:
Break‑out ➜ trade in the direction of expansion past a session extreme with follow‑through.
Fade/Mean‑Revert ➜ fade a spike that tags an extreme without commitment (e.g., hits Western‑Premkt‑High then stalls before RTH).
🔍 What the Script Draws
Session (UTC‑4 EST) Default Color / Style Typical Use‑Case
Early Premarket 4 – 7 AM Thick semi‑transparent orange line detect overnight retail spikes / fade plays
Western Premarket 7 – 9 : 30 AM Dashed orange‑red breakout watch as U.S. brokers open
Regular Session (RTH) 9 : 30 – 16 : 00 Bold teal dotted line core intraday structure; classic highs/lows
Post‑Market 16 – 23 : 59 Soft indigo band after‑hours news moves, earnings fades
Previous‑Day RTH Solid teal gap‑fill targets, trend continuation filters
(All colors, thicknesses and transparencies are editable in the settings.)
✨ Features
Real‑Time Updates
Levels refresh tick‑by‑tick inside their own session—no repainting later.
One‑Click Visibility Toggles
Show or hide any session extreme independently.
Clean Auto‑Labels
Optional right‑edge tags (“RTH High”, “Premkt Low”, etc.) keep your chart readable even when lines overlap.
Automatic Daily Reset
At midnight Eastern, buffers clear and yesterday’s extremes roll into the “Prev‑Day” pair.
Zero‑Noise Design
Transparencies and line styles are tuned so you can overlay on any symbol / timeframe without drowning candles.
📈 How to Trade with It
Intraday Breakout Strategy
Mark confluence (e.g., price pushes through Western Premkt High and Yesterday’s High).
Wait for a pullback that holds above the reclaimed band.
Enter with stop under that session line; target next band or measured‑move.
Fade / Mean‑Reversion
Pre‑market headline sends price 5 % above Early Premkt High.
Volume dries up before RTH open.
Short into exhaustion; cover near Western Premkt High or VWAP.
Gap‑Fill & Trend Days
Cash open gaps above Prev‑Day High.
If first 15‑min candle closes back inside yesterday’s range, bias shifts to downside fade.
If it holds above, treat gap as breakout and track RTH High extensions.
Pair it with volume‑profile, VWAP, or momentum oscillators for even higher‑confidence setups.
⚙️ Settings Cheat‑Sheet
Setting Effect
Show Regular / Premarket / Post‑market High/Low Master visibility per session
Show Previous Day High/Low Toggle yesterday’s anchor range
Show Session Labels Turn the right‑edge tags on/off
Style Panel Change each line’s color, width, transparency, dash/dot
🛠️ Best Practices
Works on any intraday timeframe (1‑min to 1‑hour).
Crypto or 24 h markets: adjust session times to match your exchange.
Combine with alerts (e.g., “price crossing RTH High”) for hands‑free monitoring.
Put KRHL on your chart and you’ll never wonder which high matters most again—because they’re all right there, clearly labeled and color‑coded. Trade breakouts or fades with confidence, armed with the exact market structure everyone else is watching.
ConeCastConeCast is a forward-looking projection indicator that visualizes a future price range (or "cone") based on recent trend momentum and adaptive volatility. Unlike lagging bands or reactive channels, this tool plots a predictive zone 3–50 bars ahead, allowing traders to anticipate potential price behavior rather than merely react to it.
How It Works
The core of ConeCast is a dynamic trend-slope engine derived from a Linear Regression line fitted over a user-defined lookback window. The slope of this trend is projected forward, and the cone’s width adapts based on real-time market volatility. In calm markets, the cone is narrow and focused. In volatile regimes, it expands proportionally, using an ATR-based % of price to scale.
Key Features
📈 Predictive Cone Zone: Visualizes a forward range using trend slope × volatility width.
🔄 Auto-Adaptive Volatility Scaling: Expands or contracts based on market quiet/chaotic states.
📊 Regime Detection: Identifies Bull, Bear, or Neutral states using a tunable slope threshold.
🧭 Multi-Timeframe Compatible: Slope and volatility can be calculated from higher timeframes.
🔔 Smart Alerts: Detects price entering the cone, and signals trend regime changes in real time.
🖼️ Clean Visual Output: Optionally includes outer cones, trend-trail marker, and dashboard label.
How to Use It
Use on 15m–4H charts for best forward visibility.
Look for price entering the cone as a potential trend continuation setup.
Monitor regime changes and volatility expansion to filter choppy market zones.
Tune the slope sensitivity and ATR multiplier to match your symbol's behavior.
Use outer cones to anticipate aggressive swings and wick traps.
What Makes It Unique
ConeCast doesn’t follow price — it predicts a possible future price envelope using trend + volatility math, without relying on lagging indicators or repainting logic. It's a hybrid of regression-based forecasting and dynamic risk zoning, designed for swing traders, scalpers, and algo developers alike.
Limitations
ConeCast projects based on current trend and volatility — it does not "know" future price. Like all projection tools, accuracy depends on trend persistence and market conditions. Use this in combination with confirmation signals and risk management.
AlphaTrend++AlphaTrend++
Overview
The AlphaTrend++ is an advanced Pine Script indicator designed to help traders identify buy and sell opportunities in trending and volatile markets. Building on trend-following principles, it uses a modified Average True Range (ATR) calculation combined with volume or momentum data to plot a dynamic trend line. The indicator overlays on the price chart, displaying a colored trend line, a filled trend zone, buy/sell signals, and optional stop-loss tick labels, making it ideal for day trading or swing trading, particularly in markets like futures (e.g., MES).
What It Does
This indicator generates buy and sell signals based on the direction and momentum of a custom trend line, filtered by optional time restrictions and signal frequency logic. The trend line adapts to price action and volatility, with a filled zone highlighting trend strength. Buy/sell signals are plotted as labels, and stop-loss distances are displayed in ticks (customizable for instruments like MES). The indicator supports standard chart types for realistic signal generation.
How It Works
The indicator employs the following components:
Trend Line Calculation: A dynamic trend line is calculated using ATR adjusted by a user-defined multiplier, combined with either Money Flow Index (MFI) or Relative Strength Index (RSI) depending on volume availability. The line tracks price movements, adjusting upward or downward based on trend direction and volatility.
Trend Zone: The area between the current trend line and its value two bars prior is filled, colored green for bullish trends (upward movement) or red for bearish trends (downward movement), providing a visual cue of trend strength.
Signal Generation: Buy signals occur when the trend line crosses above its value two bars ago, and sell signals occur when it crosses below, with optional filtering to reduce signal noise (based on bar timing logic). Signals can be restricted to a 9:00–15:00 UTC trading window.
Stop-Loss Ticks: For each signal, the indicator calculates the distance to the trend line (acting as a stop-loss level) in ticks, using a user-defined tick size (default 0.25 for MES). These are displayed as labels below/above the signal.
Time Filter: An optional filter limits signals to 9:00–15:00 UTC, aligning with active trading sessions like the US market open.
The indicator ensures compatibility with standard chart types (e.g., candlestick or bar charts) to avoid unrealistic results associated with non-standard types like Heikin Ashi or Renko.
How to Use It
Add to Chart: Apply the indicator to a candlestick or bar chart on TradingView.
Configure Settings:
Multiplier: Adjust the ATR multiplier (default 1.0) to control trend line sensitivity. Higher values widen the stop-loss distance.
Common Period: Set the ATR and MFI/RSI period (default 14) for trend calculations.
No Volume Data: Enable if volume data is unavailable (e.g., for certain forex pairs), switching from MFI to RSI.
Tick Size: Set the tick size for stop-loss calculations (default 0.25 for MES futures).
Show Buy/Sell Signals: Toggle signal labels (default enabled).
Show Stop Loss Ticks: Toggle stop-loss tick labels (default enabled).
Use Time Filter: Restrict signals to 9:00–15:00 UTC (default disabled).
Use Filtered Signals: Enable to reduce signal frequency using bar timing logic (default enabled).
Interpret Signals:
Buy Signal: A blue “BUY” label below the bar indicates a potential long entry (trend line crossover, passing filters).
Sell Signal: A red “SELL” label above the bar indicates a potential short entry (trend line crossunder, passing filters).
Trend Zone: Green fill suggests bullish momentum; red fill suggests bearish momentum.
Stop-Loss Ticks: Gray labels show the stop-loss distance in ticks, helping with risk management.
Monitor Context: Use the trend line and filled zone to confirm the market’s direction before acting on signals.
Unique Features
Adaptive Trend Line: Combines ATR with MFI or RSI to create a responsive trend line that adjusts to volatility and market conditions.
Tick-Based Stop-Loss: Displays stop-loss distances in ticks, customizable for specific instruments, aiding precise risk management.
Signal Filtering: Optional bar timing logic reduces false signals, improving reliability in choppy markets.
Trend Zone Visualization: The filled zone between trend line values enhances trend clarity, making it easier to assess momentum.
Time-Restricted Trading: Optional 9:00–15:00 UTC filter aligns signals with high-liquidity sessions.
Notes
Use on standard candlestick or bar charts to ensure accurate signals.
Test the indicator on a demo account to optimize settings for your market and timeframe.
Combine with other analysis (e.g., support/resistance, volume spikes) for better decision-making.
The indicator is not a standalone system; use it as part of a broader trading strategy.
Limitations
Signals may lag in highly volatile or low-liquidity markets due to ATR-based calculations.
The 9:00–15:00 UTC time filter may not suit all markets; disable it for 24-hour assets like forex or crypto.
Stop-loss tick calculations assume consistent tick sizes; verify compatibility with your instrument.
This indicator is designed for traders seeking a robust, trend-following tool with customizable risk management and signal filtering, optimized for active trading sessions.
CUSTOM PRO RANGE V2.0 with AlertsCore Functions
Tracks High/Low Ranges
Daily (DR) or Initial (IDR) ranges within custom time windows (e.g., 9:30 AM–4:00 PM).
Optional extended hours (e.g., overnight).
Visual Tools
Draws boxes/lines for range boundaries, midpoints, and opening prices.
Custom colors/styles for clarity.
Smart Alerts
Notifies when price breaks high/low/mid of the range.
Avoids spam with once-per-bar alerts.
Flexible Timeframes
Works for intraday, daily, or even quarterly ranges with minor tweaks.
🎯 Who It Helps
Day Traders: Spot breakouts/reversals.
Swing Traders: Identify key support/resistance.
Analysts: Study price behavior in specific sessions.
[TTM] ICT Sessions & Ranges🌟 Overview 🌟
The ICT Sessions & Ranges Indicator helps traders identify key intraday price levels by marking custom session highs/lows and opening ranges.
It helps traders spot potential liquidity grabs, reversals, and breakout zones by tracking price behavior around these key areas
🌟 Session Highs & Lows – Liquidity Zones 🌟
Session highs and lows often attract price due to stop orders resting above or below them. These levels are frequently targeted during high-volatility moves.
🔹 Asia Session
- Usually ranges in low volatility.
- Highs/lows often get swept during early London.
- Price may raid these levels, then reverse.
🔹 London Session
- First major volatility of the day.
- Highs/lows often tested or swept in New York.
- Commonly forms the day’s true high or low.
🌟 Opening Range Concepts 🌟
The Opening Range is the first 15, 30, or 60 minutes of a session (e.g., New York).
The high (ORH) and low (ORL) define the market’s initial balance and key reaction levels.
🔹 Breakout Trade
- Price breaks ORH/ORL with momentum.
- Signals directional intent.
- Traders enter on the breakout, with stops inside the range.
🔹 Liquidity Raid
- Price briefly breaks ORH/ORL to trigger stops.
- Reverses after the sweep.
- Look for structure shift and entry near FVG or OB.
🌟 Customizable Settings 🌟
The indicator includes 3 configurable ranges , each with:
Start & End Time – Set any custom time window.
Display Type – Choose Box (highlight range) or Lines (mark high/low).
Color Settings – Set custom colors for boxes and lines.
🌟 Default Settings 🌟
Range 1 : 19:00–00:00 (Asia Session)
Range 2 : 01:45–05:15 (London Session)
Range 3 : 09:30–10:00 (NY Opening Range – 30m)
ETF Builder & Backtest System [TradeDots]Create, analyze, and monitor your own custom “ETF-like” portfolio directly on TradingView. This script merges up to 10 different assets with user-defined weightings into a single composite chart, allowing you to see how your personalized portfolio would have performed historically. It is an original tool designed to help traders and investors quickly gauge risk and return profiles without leaving the TradingView platform.
📝 HOW IT WORKS
1. Custom Portfolio Construction
Multiple Assets : Combine up to 10 different stocks, ETFs, cryptocurrencies, or other symbols.
User-Defined Weights : Allocate each asset a percentage weight (e.g., 15% in AAPL, 10% in MSFT, etc.).
Single Composite Value : The script calculates a weighted “ETF-style” price, effectively simulating a merged portfolio curve on your chart.
2. Performance Tracking & Return Analysis
Automatic History Capture : The indicator records each asset’s starting price when it first appears in your chosen date range.
Rolling Updates : As time progresses, all asset prices are continually evaluated and the portfolio value is updated in real time.
Buy & Hold Returns : See how each asset—and the overall portfolio—performed from the “start” date to the most recent bar.
Annualized Return : Automatically calculates CAGR (Compound Annual Growth Rate) to help visualize performance over varying timescales.
3. Table & Visual Output
Performance Table : A comprehensive table displays individual asset returns, annualized returns, and portfolio totals.
Normalized Chart Plot : The composite ETF value is scaled to 100 at the start date, making it easy to compare relative growth or decline.
Optional Time Filter : You can define a specific date range (Start/End Dates) to focus on a particular period or to limit historical data.
⚙️ KEY FEATURES
1. Flexible Asset Selection
Choose any symbols from multiple asset classes. The script will only run calculations when data is available—no need to worry about missing quotes.
2. Dynamic Table Reporting
Start Price for each asset
Percentage Weight in the portfolio
Total Return (%) and Annualized Return (%)
3. Simple Backtesting Logic
This script takes a straightforward Buy & Hold perspective. Once the start date is reached, the portfolio remains static until the end date, so you can quickly assess hypothetical growth.
4. Plot Customization
Toggle the main “ETF” plot on/off.
Alter the visual style for tables and text.
Adjust the time filter to limit or extend your performance measurement window.
🚀 HOW TO USE IT
1. Add the Script
Search for “ETF Builder & Backtest System ” in the Indicators & Strategies tab or manually add it to your chart after saving it in your Pine Editor.
2. Configure Inputs
Enable Time Filter : Choose whether to restrict the analysis to a particular date range.
Start & End Date : Define the period you want to measure performance over (e.g., from 2019-12-31 to 2025-01-01).
Assets & Weights : Enter each symbol and specify a percentage weight (up to 10 assets).
Display Options : Pick where you want the Table to appear and choose background/text colors.
3. Interpret the Table & Plots
Asset Rows : Each asset’s ticker, weighting, start price, and performance metrics.
ETF Total Row : Summarizes total weighting, composite starting value, and overall returns.
Normalized Plot : Tracks growth/decline of the combined portfolio, starting at 100 on the chart.
4. Refine Your Strategy
Compare how different weights or a new mix of assets would have performed over the same period.
Assess if certain assets contribute disproportionately to your returns or volatility.
Use the results to guide allocations in your real trading or paper trading accounts.
❗️LIMITATIONS
1. Buy & Hold Only
This script does not handle rebalancing or partial divestments. Once the portfolio starts, weights remain fixed throughout the chosen timeframe.
2. No Reinvestment Tracking
Dividends or other distributions are not factored into performance.
3. Data Availability
If historical data for a particular asset is unavailable on TradingView, related results may display as “N/A.”
4. Market Regimes & Volatility
Past performance does not guarantee similar future behavior. Markets can change rapidly, which may render historical backtests less predictive over time.
⚠️ RISK DISCLAIMER
Trading and investing carry significant risk and can result in financial loss. The “ETF Builder & Backtest System ” is provided for informational and educational purposes only. It does not constitute financial advice.
Always conduct your own research.
Use proper risk management and position sizing.
Past performance does not guarantee future results.
This script is an original creation by TradeDots, published under the Mozilla Public License 2.0.
Use this indicator as part of a broader trading or investment approach—consider fundamental and technical factors, overall market context, and personal risk tolerance. No trading tool can assure profits; exercise caution and responsibility in all financial decisions.
[blackcat] L3 Ichimoku FusionCOMPREHENSIVE ANALYSIS OF THE L3 ICHIMOKU FUSION INDICATOR
🌐 Overview:
The L3 Ichimoku Fusion is a sophisticated multi-layered technical analysis tool integrating classic Japanese market forecasting techniques with enhanced dynamic elements designed specifically for identifying potential turning points in financial instruments' pricing action.
Key Purpose:
To provide traders with an intuitive yet powerful framework combining established ichimoku principles while incorporating additional validation checkpoints derived from cross-timeframe convergence studies.
THEORETICAL FOUNDATION EXPLAINED
🎓 Conceptual Background:
:
• Conversion & Base Lines tracking intermediate term averages
• Lagging Span providing delayed feedback mechanism
• Lead Spans projecting future equilibrium states
:
• Adaptive parameter scaling options
• Automated labeling system for critical junctures
• Real-time alert infrastructure enabling immediate response capability
PARAMETER CONFIGURATION GUIDE
⚙️ Input Parameters Explained In Detail:
Regional Setting Selection:**
→ Oriental Configuration: Standardized approach emphasizing slower oscillation cycles
→ Occidental Variation: Optimized settings reducing lag characteristics typical of original methodology
Multiplier Adjustment Functionality:**
↔ Allows fine-graining oscillator responsiveness without altering core relationship dynamics
↕ Enables adaptation to various instrument volatility profiles efficiently
Displacement Value Control:**
↓ Controls lead/lag offset positioning relative to current prices
↑ Provides flexibility in adjusting visual representation alignment preferences
DYNAMIC CALCULATION PROCESSES
💻 Algorithmic Foundation:
:
Utilizes highest/lowest extremes over specified lookback windows
Produces more responsive conversions compared to simple MAs
:
→ Confirms directional bias across multiple independent criteria
← Ensures higher probability outcomes reduce random noise influence
:
♾ Creates persistent annotations documenting significant events
🔄 Handles complex state transitions maintaining historical record integrity
VISUALIZATION COMPONENTS OVERVIEW
🎨 Display Architecture Details:
:
→ Solid colored trendlines representing conversion/base relationships
↑ Fill effect overlay differentiating expansion/compression phases
↔ Offset spans positioned according to calculated displacement values
:
→ Green shading indicates positive configuration scenarios
↘ Red filling highlights negative arrangement situations
⟳ Orange transition areas mark transitional periods requiring caution
:
✔️ LE: Long Entry opportunity confirmed
❌ SE: Short Setup validated
☑ XL/XS: Position closure triggers active
✓ RL/RS: Potential re-entry chances emerging
STRATEGIC APPLICATION FRAMEWORK
📋 Practical Deployment Guidelines:
Initial Integration Phase:
Select appropriate timeframe matching trading horizon preference
Configure input parameters aligning with target asset behavior traits
Test thoroughly under simulated conditions prior to live usage
Active Monitoring Procedures:
• Regular observation of cloud formation evolution
• Tracking label placements against actual price movements
• Noting pattern development leading up to signaled entry/exit moments
Decision Making Process Flowchart:
→ Identify clear breakout/crossover events exceeding confirmation thresholds
← Evaluate contextual factors supporting/rejecting indicated direction
↑ Execute trades only after achieving required number of confirming inputs
PERFORMANCE OPTIMIZATION TECHNIQUES
🚀 Refinement Strategies:
Calibration Optimization Approach:
→ Start testing with default suggested configurations
↓ Gradually adjust individual components observing outcome changes
↑ Document findings systematically building personalized version profile
Context Adaptability Methods:
➕ Add supplementary indicators enhancing overall reliability
➖ Remove unnecessary complexity layers if causing confusion
✨ Incorporate custom rules adapting to specific security behaviors
Efficiency Improvement Tactics:
🔧 Streamline redundant processing routines where possible
♻️ Leverage shared data streams whenever feasible
⚡ Optimize refresh frequencies balancing update speed vs computational load
RISK MITIGATION PROTOCOLS
🛡️ Safety Measures Implementation Guide:
Position Sizing Principles:
∅ Never exceed preset maximum exposure limits defined by risk tolerance
± Scale positions proportionally per account size/market capitalization
× Include slippage allowances within planning stages accounting for liquidity variations
Validation Requirements Hierarchy:
☐ Verify signals meet minimum number of concurrent validations
⛔ Ignore isolated occurrences lacking adequate evidence backing
▶ Look for convergent evidence strengthening conviction level
Emergency Response Planning:
↩ Establish predefined exit strategies including trailing stops mechanisms
🌀 Plan worst-case scenario responses ahead avoiding panic reactions
⇄ Maintain contingency plans addressing unexpected adverse developments
USER EXPERIENCE ENHANCEMENT FEATURES
🌟 Additional Utility Functions:
Alert System Infrastructure:
→ Automatic notifications delivered directly to user devices
↑ Message content customized explaining triggered condition specifics
↔ Timing optimization ensuring minimal missed opportunities due to latency issues
Historical Review Capability:
→ Ability to analyze past performance retrospectively
↓ Assess effectiveness across varying market regimes objectively
↗ Generate statistics measuring success/failure rates quantitatively
Community Collaboration Support:
↪ Share personal optimizations benefiting wider trader community
↔ Exchange experiences improving collective understanding base
✍️ Provide constructive feedback aiding ongoing refinement process
CONCLUSION AND NEXT STEPS
This comprehensive guide serves as your roadmap toward mastering the capabilities offered by the L3 Ichimoku Fusion indicator effectively. Success relies heavily on disciplined application combined with continuous learning and adjustment processes throughout implementation journey.
Wishing you prosperous trading endeavors! 👋💰
Volatility Regime Classifier | ATRP Percentile ZonesThis indicator helps you understand the current volatility environment of any asset by comparing recent ATR-based values to its historical range.
It defines four regimes:
🔴 Low Volatility: Volatility is decreasing
🟢 Normal: Volatility is increasing but still below average
🟠 High: Volatility is elevated
🟣 Extreme: Volatility is very high compared to recent history
⚙️ How it works
We calculate the Average True Range (ATR) as a percentage of price (ATRP), then compare a short-term ATR to a longer-term one. Their difference shows whether volatility is picking up or slowing down.
To make the signal more adaptive, we look at the distribution of recent volatility over a rolling window. We compute the 50th and 70th percentiles of that history to set dynamic thresholds.
About distribution & percentiles
Volatility in financial markets doesn't follow a normal (Gaussian) distribution, it's often skewed, with sudden spikes and fat tails. That means fixed thresholds (like "ATR > 20") can be misleading or irrelevant across assets and timeframes.
Using percentiles solves this:
The 50th percentile marks the middle of the recent volatility range.
The 70th percentile captures a zone where volatility is unusually high, but not too rare, which keeps the signal usable and not overly sensitive.
These levels offer a balance:
⚖️ not too reactive, not too slow — just enough to highlight meaningful shifts.
✅ Use cases
Spot changes in market conditions
Filter or adapt strategies depending on the regime
Adjust position sizing and risk dynamically
London/NY Sessions + SMC Levels📜 Indicator Description: London/NY Sessions + SMC Levels
Overview: This indicator highlights the key trading sessions — London, New York, NY Lunch, and Asian Range — providing structured visual guides based on Smart Money Concepts (SMC) and ICT principles.
It dynamically plots:
Session Backgrounds and Boxes for London, NY, Lunch, and Asian sessions
Reference Levels for the High, Low, and Close from today, previous day, or weekly data
Midnight Open line for ICT-style power of three setups
Real-time alerts for session starts, session closes, and important price level crossings
Features:
🕰️ Session Visualization:
Toggle London, NY, Lunch, and Asian session ranges individually, with customizable colors and transparent backgrounds.
🔔 Built-in Alerts:
Alerts for:
Price crossing the previous day's high/low
Price crossing the Midnight Open
Start and end of major sessions (London, NY, Lunch, Asian)
🟩 Reference Levels:
Plot selectable session reference levels:
Today’s intraday High/Low/Close
Previous Day’s High/Low/Close
This Week’s or Previous Week’s levels for broader context.
🌙 Midnight Open:
Track the Midnight New York Open as a reference point for daily bias shifts.
🎯 Customizable Settings:
Choose your session time zones (UTC, New York, London, etc.)
Customize all border colors, background colors, and session hours.
Use Cases:
Identify killzones and optimal trade entry windows for Smart Money Concepts (SMC) and ICT strategies.
Monitor liquidity pool sweeps and session transitions.
Confirm or refine your intraday or swing trading setups by referencing session highs/lows.
Recommended For:
ICT traders
Smart Money Concepts (SMC) practitioners
Forex, indices, crypto, and futures traders focusing on session-based volatility patterns
Anyone wanting a clean, professional session mapping tool
📈
Designed to help you trade with session precision and Smart Money accuracy.
Integrates seamlessly into any ICT, Wyckoff, or Liquidity-based trading approach.
Linear Regression Slope The Linear Regression Slope provides a quantitative measure of trend direction. It fits a linear regression line to the past N closing prices and calculates the slope, representing the average rate of price change per bar.
To ensure comparability across assets and timeframes, the slope is normalized by the ATR over a shorter window. This produces a volatility-adjusted measure which allows for the slope to be interpreted relative to typical price fluctuations.
Mathematically, the slope is derived by minimizing the sum of squared deviations between actual prices and the fitted regression line. A positive normalized slope indicate upwards movement; a negative slope indicate downwards movement. Persistent values near zero could indicate an absence of clear trend, with price dominated by short-term fluctuations or noise.
The definition of a trend depends on the period of observation. The lookback setting should be set based on to the desired timeframe. Shorter lookbacks will respond faster to recent changes but may be more sensitive to noise, while longer lookbacks will emphasize broader structures.
While effective at quantifying existing trends, this method is not predictive. Sudden regime changes, volatility shocks, and non-linear dynamics can all cause rapid slope reversals. Therefore, it is best applied as part of a broader analytical framework.
In summary, the Linear Regression Slope quantifies price direction and serves as a measurable supplement to the visual assessment of trends on price charts.
Additional Features:
Option to display or hide the normalized slope line.
Option to enable background coloring when the slope is above or below zero.
Global M2 Money Supply Top20 + Offset & WaveThe M2 Top20 is a global aggregation of the M2 money supply from the 20 largest economies in the world , providing a comprehensive view of the total liquidity in the global financial system. It is expressed in trillions of USD.
This script calculates and visualizes the M2 Money Supply of the Top 20 Global Economies, adjusted to various timeframes (4H, 1D, 1W, 1M) with customizable offset adjustments (in days) from -1000 days to +1000 days. This indicator includes data from the Americas, Europe, Africa, and the Asia Middle East , offering a diverse and balanced representation of major economic regions. The M2 of each country has been converted to USD.
Additionally, the user can set a minimum and maximum offset to create a wave around the main offset and expand the comparison.
Combining these options, this indicator enables users to visualize a range of the global money supply, making it useful for market analysis, economic forecasting, and understanding macroeconomic trends. This indicator is particularly valuable for traders and analysts interested in understanding the dynamics of global monetary systems and their potential impact on financial markets.
Key Features:
Global M2 Money Supply calculation from the Top 20 Economies.
Adjustable Offset: Adjust the offset to align the indicator with the best bar. Adjustment in days, usable on different timeframes (1D, 1W, 4H, 1M).
Wave Projection: Displays a "probability cloud"—a smoothed area that shows the probable path of Bitcoin, derived from shifts in global liquidity.
Min/Max Offset Adjustments: Customizable offsets allow you to determine the range of future windows, helping to shape the wave and better identify liquidity-driven turning points.
Use Cases:
Economic Forecasting: Identify trends in global money supply and their potential market impact (e.g., historically leads Bitcoin price by +/- 78 days to +/-108 days).
Market Analysis: Track the growth or contraction of money supply across key economies.
Macro-Economic Analysis: Understand the relationship between monetary policies and market performance.
How to use:
Add the indicator to your chart.
Set the timeframe to 1D to customize the offset.
Set the Offset (in days).
Set the Offset Range Minimum and Maximum.
Show/Hide the Range Wave
.
Use offset = 0 to have the indicator align directly with the current data, without any shift, providing a baseline for comparison with the most recent market conditions.
Countries included in the M2 Top20:
China (CN), Japan (JP), South Korea (KR), Hong Kong (HK), Taiwan (TW), India (IN), Saudi Arabia (SA), Thailand (TH), Vietnam (VN), United Arab Emirates (AE), Malawi (MW) – Africa, United States (US), Canada (CA), Brazil (BR), Mexico (MX), Eurozone (EU), United Kingdom (GB), Russia (RU), Poland (PL), Switzerland (CH).
These countries were selected from the ranking of the World Economy Indicator of Trading View .
