STRATEGY R18-F-BTCHi, I'm @SenatorVonShaft
Just finished the strategy "STRATEGY R18-F-BTC" for trading on #bitcoin and other cryptocurrencies.
As any strategy on TradingView, R18 opens Long/Short positions (with no leverage) on certain price points for assets in the chart. But I intentionally make this strategy for Bitcoin . Strategy is effective with 1h chart and it has %36 winning trade ratio for #bitcoin trade. As strategy uses approximately 1/3 ratio of SL/TP levels, gross profit for 1 year backtest is above %200 (I mean above 3x for only BTC )
Strategy is built on combination of:
- MACD
- RSI
- FIBONACCI levels
- BTCUSDT price itself as indicator (for different crypto assets and BTCUSDTPERP trading. You can select different assets you like for indicator (it's BTCUSDT:Binance by default))
I fine-tuned all levels of indicators above accordingly (it has more than 10 variables that effects strategy itself).
You can find out your own strategy levels by adjusting long/short tp&sl variables as well as initial capital ratio variable.
Reverse option open reverse positions of the strategy
Komut dosyalarını "chart" için ara
Chart Theme - Change Bar and Background Colors using HEX #sAdds aesthetic ability to charts by allowing the trader to change the color of the bars, background, and plots using HEX colors, rather than TradingView's limited color selector box. This makes for easy application of color palettes to charts. The color palettes can be saved as indicators and applied quickly, as desired.
BTC vs 美元指数(DXY) 强度指标1. Introduction
一、 指标简介
In the grand game of macroeconomics, the relationship between Bitcoin (BTC) and the US Dollar Index (DXY) is a key barometer for market risk appetite versus risk-aversion.
在宏观经济的大棋局中，比特币（BTC）与美元指数（DXY）的强弱关系，是衡量市场风险偏好与避险情绪的核心风向标。
It is often said that "BTC is a hedge against a falling dollar." This indicator is built upon this classic logic, providing you with a quantitative and intuitive analytical tool.
交易员们常说「BTC 是抗美元下跌的工具」，本指标正是基于这一经典逻辑，为您提供一个量化、直观的分析工具。
The BTC vs. DXY Strength Index helps you gain insight into critical questions by calculating the relative performance spread between the two assets, combined with statistical tools (Bollinger Bands) and significant historical macro signals (DXY weekly death cross):
BTC vs 美元指数(DXY) 强度指标 通过计算两者的相对表现差异，并结合统计学工具（布林带）和重要的历史宏观信号（DXY周线死叉），帮助您洞察以下关键问题：
Is the current market dominated by BTC (risk-on) or the Dollar (risk-off)?
当前市场由 BTC 主导（风险偏好），还是由美元主导（避险情绪）？
Has the strength relationship between them reached an extreme level where a reversal is possible?
两者之间的强弱关系是否达到了可能逆转的极端水平？
Has a major macro reversal signal, which has historically triggered significant market shifts, appeared?
是否出现了历史上曾多次引发市场巨变的宏观反转信号？
2. Features & Interpretation
二、 核心功能与解读
2.1. Performance Spread Histogram
1. 强度差柱状图
The core of the indicator is a histogram extending from the zero line, representing the performance spread of BTC relative to DXY.
指标的核心是一系列从 0 轴延伸的柱状图，它代表了 BTC 相对于 DXY 的表现强度差。
Green Bars (Positive Value): Indicates that BTC has outperformed the DXY over the period. The taller the green bar, the stronger BTC's momentum and the higher the market's risk appetite.
绿色柱 (正值): 代表在该周期内，BTC 的表现优于美元指数。绿色柱越高，说明 BTC 越强势，市场风险偏好情绪越高。
Red Bars (Negative Value): Indicates that the DXY has outperformed BTC. The deeper the red bar, the stronger the Dollar and the more prevalent the risk-off sentiment.
红色柱 (负值): 代表在该周期内，美元指数的表现优于 BTC。红色柱越深，说明美元越强势，市场避险情绪越浓。
2.2. Bollinger Bands Extreme Signal
2. 布林带极端信号
The indicator calculates Bollinger Bands for the "performance spread" in the background. When the histogram breaks above or below the bands, an alert is triggered.
指标在后台对「强度差」计算布林带。当柱状图突破上下轨时，会触发警报。
Breakout Above Upper Band: BTC's strength relative to DXY has reached a statistical extreme, signaling caution for a potential mean reversion (e.g., a BTC pullback or DXY strengthening).
向上突破: BTC 相对于 DXY 的强势达到了统计上的极端，警惕短期关系回归（例如 BTC 回调或 DXY 走强）。
Breakdown Below Lower Band: BTC's weakness relative to DXY has reached a statistical extreme, signaling a potential opportunity for a bounce (e.g., BTC strengthening or DXY pulling back).
向下突破: BTC 相对于 DXY 的弱势达到了统计上的极端，关注潜在的反弹机会（例如 BTC 走强或 DXY 回调）。
2.3. DXY Historical Anomaly Signal
3. DXY 历史规律信号
This is the essence of this indicator. Based on research from Coindesk analysts, the "Death Cross" (50-week MA crossing below the 200-week MA) on the DXY weekly chart has often acted as a contrarian indicator—a "bear trap"—since 2009.
这是本指标的精髓所在。根据 Coindesk 分析师的研究，自 2009 年以来，美元指数（DXY）周线级别的「死亡交叉」（50周均线下穿200周均线）往往是一个反向指标，即「空头陷阱」。
Instead of preceding a bear market for the dollar, it has repeatedly marked major cyclical bottoms for the DXY.
它非但没有引发美元的熊市，反而屡次成为美元阶段性大底的标志。
Blue Background Highlight: When the indicator detects a "Death Cross" on the DXY weekly chart, the background will turn blue, and a high-priority alert will be triggered. This is designed to warn you that, based on historical patterns, the US Dollar may be about to bottom and strengthen, posing a significant potential bearish risk for BTC.
蓝色背景高亮: 当指标检测到 DXY 周线图上形成「死亡交叉」时，指标背景会变为蓝色，并触发最高优先级的警报。这旨在提醒您：根据历史规律，美元可能即将见底走强，这对 BTC 构成潜在的重大利空风险，需高度警惕！
3. Settings
三、 主要功能与设定
Customizable symbols for BTC and DXY.
可自定义 BTC 和 DXY 的交易对。
Freely adjustable periods for performance calculation and Bollinger Bands.
可自由调整表现计算周期、布林带参数。
Configurable MA periods for the DXY Death Cross detection, with the ability to toggle this signal on or off.
可配置 DXY 死亡交叉的均线周期，并自由开关此信号的显示。
Includes a comprehensive info panel and alert system.
包含功能全面的信息面板与警报系统。
Disclaimer: This indicator is a tool for supplementary macro analysis and is intended to provide a reference for market sentiment. It does not constitute any investment advice. All trading decisions should be based on your own research and risk assessment. Happy trading!
免责声明: 本指标是辅助宏观分析的工具，旨在提供市场情绪的参考，不构成任何投资建议。所有交易决策都应基于您自己的研究和风险判断。祝您交易顺利！
Az's EMA Scalper with Trend Confirmation (Fast TF)Az's EMA Scalper with Trend Confirmation combines fast-moving average signals with multi-timeframe trend analysis for precision intraday trading. The strategy uses a customizable moving average (7 types including EMA, HMA, ALMA) applied to Heikin-Ashi or regular candles on user-defined timeframes.
Core Mechanics:
Trend Identification:
Calculates MA values for open/close/high/low prices
Determines trend direction Bullish (green) and bearish (red)
Entry Signals:
Long entries when MA_close crosses above MA_open
Short entries when MA_close crosses below MA_open
Trade filters: LONG/SHORT/BOTH/NONE
Risk Management:
Fixed stop loss (points)
Fixed take profit (points)
Auto-position closing for directional modes
Visual Features:
Colored trend cloud (bullish/bearish)
Optional MA plots for close/high/low
Customizable colors and transparency
Optimized For:
Fast timeframes (1-15min charts)
Configurable trend confirmation (any higher timeframe)
Backtesting window control
The strategy simplifies price action into clear visual trends while maintaining flexibility through 15+ input parameters. Trades align with the dominant trend direction shown by the colored MA cloud, with exits triggered by profit targets, stop losses, or counter-trend MA crosses.
Session HL + Candles + AMD (Nephew_Sam_)Session HL + Candles + AMD (Nephew_Sam_)
This indicator marks out intraday sessions summarized into single candles, with an additional option to mark out the HL of each session. Perfect for understanding AMD within a glance (accumulation-manipulation-distribution)
Features:
Session High/Low lines with customizable colors and labels
Optional session candles displayed on the right side of the chart
Timezone support for global traders
Customizable bull/bear candle colors
Works on timeframes up to 1 hour
Perfect for:
Identifying session liquidity levels
Tracking session ranges and breakouts
Multi-timeframe session analysis
ICT methodology traders
Settings:
Choose your timezone for accurate session detection
Toggle session candles and HL lines independently
Customize colors, line styles, and labels
Set maximum timeframe (up to 1 hour)
Multi-Timeframe Horizontal LinesThis Pine Script indicator plots horizontal lines at the high and low prices of the most recent 1-hour and 15-minute candles. Users can customize the color and width of the lines for each timeframe. The lines are updated dynamically, with previous lines removed to keep the chart clean.
SNIPERKILLS-IB-HIGH-LOW+Exp-Move[D/W/M]Script Feature Checklist (Updated):
Initial Balance (IB) Calculation
Tracks IB High and IB Low during a user-defined session (default 9:30–10:30)
Plots IB High (blue), IB Low (red), and IB Midpoint (orange)
Expected Movement (EM) Calculation Using VIX
Calculates expected price move range based on VIX volatility index and previous close
Plots EM upper (EM+) and lower (EM-) levels (purple lines)
Optional rounding of levels to nearest multiple (spread input)
Displays two deviation levels (% deviations from EM):
First deviation (default 68%, orange dashed lines)
Second deviation (default 90%, blue dashed lines)
Labels for EM levels and deviations on chart
Summary table with Period, EM, VIX, Previous Close
Measured Move Targets Based on IB Range
Defines 3 long targets above IB High (multiples 1x, 2x, 3x)
Defines 3 short targets below IB Low (multiples 1x, 2x, 3x)
Plots these targets in green (long) and red (short)
Liquidity Sweeps Detection
Detects when price breaks/sweeps below IB Low or above IB High (liquidity grab)
Plots triangle shapes on bars showing IB Low Sweep (red) or IB High Sweep (blue)
Market Structure Shift (MSS) Detection
Detects bearish MSS (higher high + close lower) above IB High
Detects bullish MSS (lower low + close higher) below IB Low
Marks MSS signals with crosses: orange (bearish), green (bullish)
Trade Entry Markers Based on MSS
Short entry trigger if bearish MSS confirmed and close below previous low
Long entry trigger if bullish MSS confirmed and close above previous high
Plots labeled arrows: "AMD SHORT" (black label down), "AMD LONG" (lime label up)
Fair Value Gap (FVG) Detection
Detects potential Fair Value Gaps up and down
Plots small squares: green below bars (FVG Up), red above bars (FVG Down)
Simple Risk/Reward Levels
Defines take profit (TP) and stop loss (SL) levels for short and long entries based on fixed pip multiples
Plots TP and SL with colored circles on the chart
Alerts for Key Events
Alerts for IB Low Sweep and IB High Sweep
Alerts for MSS Bearish and MSS Bullish
Alerts for Short and Long entries
Order Block (OB) / CISD Candle Highlight
Detects large bearish displacement candle following bullish candle (CISD)
Highlights the previous candle (order block candle) in purple
Allows traders to anticipate potential reversals by visually identifying these order blocks
DaringBull Arvind MACD GAPS MA CrossoverTo generate buy and sell signals based on a combination of MACD crossover events and histogram behavior, particularly around the zero line. This is used to identify early momentum reversals for entry and exit points in the market.
📐 MACD Setup
Uses customizable MACD parameters (defaults: Fast = 12, Slow = 26, Signal = 9).
Calculates:
MACD Line
Signal Line
Histogram (difference between MACD and Signal)
✅ Buy Conditions
A buy signal is plotted when all three of the following occur:
MACD Line crosses above Signal Line (bullish crossover).
MACD Line is still below or near the zero line (< 0.05) – indicates early reversal from a bearish zone.
First green histogram bar appears (current bar is > 0 and previous was ≤ 0) – confirming momentum shift.
➡️ When these align, a blue circle is plotted below the price bar.
❌ Sell Conditions
A sell signal is plotted when all three of the following occur:
MACD Line crosses below Signal Line (bearish crossover).
MACD Line is still above or near the zero line (> -0.05) – indicates early weakness after a bullish move.
First red histogram bar appears (current bar is < 0 and previous was ≥ 0) – confirming loss of momentum.
➡️ When these align, a red circle is plotted above the price bar.
📊 Visualization
Buy/Sell markers appear on the price chart for visual entry/exit cues.
MACD line, Signal line, and Zero line are optionally plotted for deeper analysis.
📌 Key Insights
This script aims to enter trades early in trend reversals by using MACD in conjunction with histogram shifts near the zero line.
It's especially useful in gap trading, mean reversion, or breakout confirmation setups.
The optional plot toggle allows switching between overlay and non-overlay views.
Live Breakout Zones (No Repaint)The Live Breakout Zones indicator is a non-repainting, real-time breakout detection tool designed to help traders identify critical price breakouts as they happen — without lag and without repainting past signals.
This indicator scans recent price action to determine the highest high and lowest low over a user-defined lookback period. When price closes above the recent high or below the recent low, it immediately plots a breakout zone on the chart and provides a visual confirmation through labels and optional alerts.
🔍 Key Features:
✅ No Repainting – Signals are locked in as soon as a breakout happens; no future bar confirmation is needed.
⏱️ Minimal Lag – Reacts on breakout of recent range highs/lows without waiting for pivots or candle confirmation.
📦 Breakout Zones – Automatically draws colored rectangles showing the breakout level and zone width for clearer analysis.
🔔 Real-Time Alerts – Alerts for both bullish and bearish breakouts help you stay informed without watching the screen.
⚙️ Customizable – Adjustable lookback length, zone width, and color settings to match your strategy or chart style.
📈 Use Cases:
Identify key breakout moments for entry or retest zones.
Confirm breakout-based strategies in trending or consolidating markets.
Use zones for setting risk-reward areas, SL/TP levels, or re-entry planning.
⚙️ Settings:
Lookback Range (High/Low): Defines how many previous bars are checked for breakout levels.
Zone Width: Number of bars to extend the breakout box forward.
Bullish/Bearish Zone Color: Choose custom colors for breakout visualization.
🧠 Trading Tip:
Combine this tool with volume spikes, tail candles, or support/resistance for more reliable breakout setups.
FutureObitz Bank LevelsFutureObitz Bank Levels - Daily Structure & Trading Zones
"The Obitz Bank Levels indicator is a powerful tool designed to help traders identify key daily structural price levels. It automatically extracts the 1 hour and 4 hour High and 1 hour and 4 hour Low. You may also use this indicator for lower timeframes aswell. Going lower than 15 min is not recommended.
What This Indicator Provides:
Dynamic Daily Levels: Calculates and plots the Daily High, Daily Low, Middle, Middle High, and Middle Low of the current trading day. These lines provide clear reference points for price action.
Defined Buy & Sell Zones: Visualizes potential accumulation (Buy Zone) and distribution (Sell Zone) areas. These zones are calculated as a customizable percentage (via inputs) above/below the 'Middle' of the daily range, helping to identify potential entry or exit points.
Multi-Timeframe Compatibility: Displays the exact same daily levels regardless of your active chart's timeframe, offering a consistent higher-timeframe perspective for intraday traders.
Visual Clarity: Includes filled zones for better visualization of the Buy and Sell areas.
Optional Labels: Provides clear labels for the latest daily levels (D. High, D. Low, D. Middle, D. Buy Zone, D. Sell Zone) on the last bar of your chart for quick reference.
This indicator serves as a robust framework for understanding daily market structure and can assist in identifying potential areas of support, resistance, and trading opportunities. It's an excellent tool for traders who rely on clear, higher-timeframe levels to inform their trading decisions.
-FutureObitz
Morning Structure – Live 30 Min Range📝 Description:
This indicator captures the morning price structure by tracking the high and low during the first 30 minutes after market open (default: 9:30 AM to 10:00 AM, New York time).
🔧 How it works:
At market open, it begins tracking the highest high and lowest low
The high and low lines are dynamic and update in real-time during the first 30 minutes
Once the 30-minute range completes, the lines freeze at their final values
Lines extend horizontally across the rest of the session to mark the "Morning Range"
✅ Key Features:
Tracks live price action during the morning session
Freezes the structure after 30 minutes (or user-defined)
Automatically resets each new trading day
Built-in timezone setting (America/New_York) to align with standard U.S. market hours
Clean visual lines that scroll naturally with the chart
⚙️ Use Cases:
Identify morning breakout zones
Define support and resistance early in the session
Combine with breakout, fade, or range-trading strategies
⚠️ Note:
This version does not include alerts or labels, by design (clean and focused).
Those can be added easily for custom strategies.
Morning Structure – Live 30 Min Range📝 Description:
This indicator captures the morning price structure by tracking the high and low during the first 30 minutes after market open (default: 9:30 AM to 10:00 AM, New York time).
🔧 How it works:
At market open, it begins tracking the highest high and lowest low
The high and low lines are dynamic and update in real-time during the first 30 minutes
Once the 30-minute range completes, the lines freeze at their final values
Lines extend horizontally across the rest of the session to mark the "Morning Range"
✅ Key Features:
Tracks live price action during the morning session
Freezes the structure after 30 minutes (or user-defined)
Automatically resets each new trading day
Built-in timezone setting (America/New_York) to align with standard U.S. market hours
Clean visual lines that scroll naturally with the chart
⚙️ Use Cases:
Identify morning breakout zones
Define support and resistance early in the session
Combine with breakout, fade, or range-trading strategies
⚠️ Note:
This version does not include alerts or labels, by design (clean and focused).
Those can be added easily for custom strategies.
Price-EMA Z-Score Backgroundhe “Price‑to‑EMA Z‑Score Background” indicator is designed to give you a clear, visual sense of when price has moved unusually far away from its smoothed trend, and to highlight those moments as potential overextension or mean‑reversion opportunities. Under the hood, it first computes a standard exponential moving average (EMA) of your chosen lookback length, then measures the raw difference between the current close and that EMA on every bar. To make that raw deviation comparable across different markets and timeframes, it converts the series of differences into a z‑score—subtracting the rolling mean of the deviations and dividing by their rolling standard deviation over a second lookback window.
Once you’ve normalized price‑to‑EMA distance into z‑score units, you can set two simple trigger levels: one upper threshold and one lower threshold. Whenever the z‑score climbs above the upper threshold, the chart background glows green, signaling that price is extended far above its EMA (and might be ripe for a pullback). Whenever the z‑score falls below the lower threshold, the background turns red, calling out an equally extreme move below the EMA (and a possible oversold bounce). Between those bands, no shading appears, letting you know price is trading within its “normal” range around the trend.
By adjusting the EMA period, the z‑score lookback, and the two trigger levels, you can dial in early warning signals (e.g. ±1 σ) or wait for very stretched moves (±2 σ or more). Used in concert with your favorite momentum or pattern tools—or even as a standalone visual cue—this simple background‑shading approach makes it easy to spot when a market is running too hot or too cold relative to its own recent average.
Yield Curve Regime Shading with LegendTakes two symbols (e.g. two futures contracts, two FX pairs, etc.) as inputs.
Calculates the “regime” as the sign of the change in their difference over an n‑period lookback.
Lets you choose whether you want to color the bars themselves or shade the background.
How it works
Inputs
symbolA, symbolB: the two tickers you’re comparing.
n: lookback in bars to measure the change in the spread.
mode: pick between “Shading” or “Candle Color”.
Data fetching
We use request.security() to pull each series at the chart’s timeframe.
Regime calculation
spread = priceA – priceB
spreadPrev = ta.valuewhen(not na(spread), spread , 0) (i.e. the spread n bars ago)
If spread > spreadPrev → bullish regime
If spread < spreadPrev → bearish regime
Plotting
Shading: apply bgcolor() in green/red.
Candle Color: use barcolor() to override the bar color.
2025 Stratejik Sinyal İndikatörüThe strategy indicator, which generates buy-sell signals on the chart and can set alarms for indicators such as Supertrend, RSI, Stochastic RSI, Squeeze Momentum, MACD, 10 Moving Average and Price indicator PPO, will guide you while trading.
RSI Divergence StrategyScript identifies bullish and bearish divergences, hidden and regular. Accurate on all timeframes. There are several videos on trading with a divergence strategy, but the divergences are hard to spot.
These can be adjusted but chat gpt independently checked various token vitals and compared to the chart, and found the chart accurate with current settings.
lookback = input.int(40, title="Lookback Period for Divergence") (30-60)
minSwingDistPercent = input.float(1.5, title="Minimum Swing Distance (%)") (0.5-2.0)
minPriceMovePercent = input.float(0.5, title="Minimum Price Move from Last Swing (%)") (0.5-2.0)
Sell to Buy / Buy to SellSell to Buy / Buy to Sell — Momentum Shift Detector
The Sell to Buy / Buy to Sell indicator detects simple but powerful two-bar momentum shift patterns directly on your chart, offering early insights into potential reversals or strong breakout continuation.
🔎 How it works:
Sell to Buy (StB):
Previous candle (bar -1) is bearish
Current candle (bar 0) is bullish
The bullish candle closes above the high of the previous bearish candle
Confirmed only after bar close
Buy to Sell (BtS):
Previous candle (bar -1) is bullish
Current candle (bar 0) is bearish
The bearish candle closes below the low of the previous bullish candle
Confirmed only after bar close
🎯 Key Features:
✅ Pure price action logic — no indicators, no oscillators
✅ Immediate visual markers:
Green "StB" label for bullish momentum shifts
Red "BtS" label for bearish momentum shifts
✅ Full alert system to notify you in real-time when either pattern occurs
⚙ Who is this for?
Scalpers looking for short-term momentum shifts
Swing traders identifying potential reversals or breakout confirmations
Price action traders who want clean and objective setup detection
The Sell to Buy / Buy to Sell indicator is designed to give you clear and simple signals whenever the market shows decisive strength after a short-term opposite move — potentially marking the start of a new impulse.
80% Rule Indicator (ETH Session + SVP Prior Session)I created this script to show the 80% opportunity on chart if setting lines up.
"80% rule: Open outside the vah or Val. Spend 30 mins outside there then break back inside spend 15 mins below or above depending which way u broke. Then come back and retest the vah/val and take it to the poc as a first target with the final target being the other Val/vah "
📌 Script Summary
The "80% Rule Indicator (ETH Session + SVP Prior Session)" overlays your chart with prior session value area levels (VAH, VAL, and POC) calculated from extended-hours 30-minute data. It tracks when the price reenters the value area and confirms 80% Rule setups during your chosen trading session. You can optionally trigger alerts, show/hide market sessions, and fine-tune line appearance for a clean, modular workflow.
⚙️ Options & Settings Breakdown
- Use 24-Hour Session (All Markets)
When checked, the indicator ignores time zones and tracks signals during a full 24-hour period (0000-0000), helpful if you're outside U.S. trading hours or want consistent behavior globally.
- Market Session
Dropdown to select one of three key market zones:
- New York (09:30–16:00 ET)
- London (08:00–16:30 local)
- Tokyo (09:00–15:00 local)
Used to gate entry signals during relevant hours unless you choose the 24-hour option.
- Show PD VAH/VAL/POC Lines
Toggle to show or hide prior day’s levels (based on the 30-min extended session). Turning this off removes both the lines and their white text labels.
- Extend Lines Right
When enabled, the VAH/VAL/POC lines extend into the current day’s session. If disabled, they appear only at their anchor point.
- Highlight Selected Session
Adds a soft blue background to help visualize the active session you selected.
- Enable Alert Conditions
Allows TradingView alerts to be created for long/short 80% Rule entries.
- Enable Audible Alerts
Plays an in-chart sound with a popup message (“80% Rule LONG” or “SHORT”) when signals trigger. Requires the chart to be active and sounds enabled in TradingView.
Modified Fractal Open/CloseModified Fractal (Open/Close Based) - Indicator
The Modified Fractal (Open/Close Based) indicator offers a new way to detect fractal patterns on your chart by analyzing the open and close prices instead of the traditional high and low values.
🧮 How it works:
The indicator evaluates a group of 5 consecutive candles.
The central candle (2 bars ago) is analyzed.
For a Bullish Fractal:
The open or close of the central candle must be lower than the open and close of the other 4 surrounding candles.
For a Bearish Fractal:
The open or close of the central candle must be higher than the open and close of the other 4 surrounding candles.
Once a valid pattern is detected, a visual symbol (triangle) is plotted directly on the chart and an alert can be triggered.
✅ Key Features:
Non-repainting signals (evaluated after candle close)
Fully mechanical detection logic
Easy-to-use visual signals
Alert conditions ready to be integrated into TradingView’s alert system
Suitable for multiple timeframes (can be used from M1 to Daily and beyond)
🎯 Use case:
This modified fractal approach can help traders:
Spot potential swing points
Identify possible reversals
Confirm price exhaustion zones
Support breakout or mean reversion strategies
⚠ Note:
This indicator does not provide trade signals by itself. It is recommended to be combined with additional tools, price action analysis, or risk management rules.
Big Move Follow-Through Tracker🚀 What This Indicator Does
Ever wondered if that sudden 5% pump in your favorite crypto will continue or just fade away? This powerful indicator automatically tracks every significant price move and tells you exactly what happened next - momentum continuation or mean reversion.
🎯 Key Features
📊 Smart Move Detection
Automatically identifies "big moves" based on your custom threshold (default 3%)
Uses ATR filtering to ensure moves are truly significant, not just normal volatility
Works on ANY timeframe and ANY crypto pair
🔍 Follow-Through Analysis
Tracks each big move for your specified number of bars (default 5)
Classifies outcomes as either Follow-Through (momentum continues) or Mean Reversion (price reverses)
Uses intelligent 2% thresholds to avoid noise and focus on meaningful moves
📈 Real-Time Statistics Dashboard
Live statistics table showing historical performance
Separate analysis for UP moves vs DOWN moves (crypto often behaves differently!)
Percentage breakdowns of follow-through vs reversion rates
Track total moves detected vs analyzed over time
🎨 Visual Clarity
Clear arrow signals when big moves are detected
Background highlighting during significant moves
Customizable display options - show/hide signals and stats as needed
🛠️ How to Use
Add to any crypto chart (works on BTC, ETH, altcoins, etc.)
Adjust the move threshold (3% for major coins, higher for smaller caps)
Set analysis timeframe (how many bars to track each move)
Watch the statistics build over time to understand your asset's behavior
💡 Trading Applications
For Momentum Traders:
High follow-through rates? → Consider riding the momentum
Trade in direction of big moves when statistics support it
For Mean Reversion Traders:
High reversion rates? → Look for fade opportunities
Counter-trade big moves when they historically reverse
For Risk Management:
Understand typical behavior after significant moves
Size positions based on historical follow-through probabilities
📋 Customizable Settings
Big Move Threshold: Adjust sensitivity (0.5% - 10%)
Analysis Period: How long to track each move (3-20 bars)
Display Options: Toggle signals and statistics table
Alert System: Get notified when big moves occur
🎲 What Makes This Different
Unlike simple momentum indicators, this tool:
✅ Quantifies actual outcomes with real statistics
✅ Adapts to each asset's unique volatility profile
✅ Separates up and down move behavior
✅ Provides actionable probability data
📊 Perfect For
Crypto day traders looking for edge identification
Swing traders wanting to understand momentum vs reversion tendencies
Risk managers needing probability-based position sizing
Strategy developers building data-driven trading systems
⚡ Quick Setup Tips
For Major Cryptos (BTC, ETH): Use 2-4% threshold
For Altcoins: Use 4-8% threshold
For Scalping: Use lower timeframes with 1-2% threshold
For Swing Trading: Use higher timeframes with 5%+ threshold
Multifractal Forecast [ScorsoneEnterprises]Multifractal Forecast Indicator
The Multifractal Forecast is an indicator designed to model and forecast asset price movements using a multifractal framework. It uses concepts from fractal geometry and stochastic processes, specifically the Multifractal Model of Asset Returns (MMAR) and fractional Brownian motion (fBm), to generate price forecasts based on historical price data. The indicator visualizes potential future price paths as colored lines, providing traders with a probabilistic view of price trends over a specified trading time scale. Below is a detailed breakdown of the indicator’s functionality, inputs, calculations, and visualization.
Overview
Purpose: The indicator forecasts future price movements by simulating multiple price paths based on a multifractal model, which accounts for the complex, non-linear behavior of financial markets.
Key Concepts:
Multifractal Model of Asset Returns (MMAR): Models price movements as a multifractal process, capturing varying degrees of volatility and self-similarity across different time scales.
Fractional Brownian Motion (fBm): A generalization of Brownian motion that incorporates long-range dependence and self-similarity, controlled by the Hurst exponent.
Binomial Cascade: Used to model trading time, introducing heterogeneity in time scales to reflect market activity bursts.
Hurst Exponent: Measures the degree of long-term memory in the price series (persistence, randomness, or mean-reversion).
Rescaled Range (R/S) Analysis: Estimates the Hurst exponent to quantify the fractal nature of the price series.
Inputs
The indicator allows users to customize its behavior through several input parameters, each influencing the multifractal model and forecast generation:
Maximum Lag (max_lag):
Type: Integer
Default: 50
Minimum: 5
Purpose: Determines the maximum lag used in the rescaled range (R/S) analysis to calculate the Hurst exponent. A higher lag increases the sample size for Hurst estimation but may smooth out short-term dynamics.
2 to the n values in the Multifractal Model (n):
Type: Integer
Default: 4
Purpose: Defines the resolution of the multifractal model by setting the size of arrays used in calculations (N = 2^n). For example, n=4 results in N=16 data points. Larger n increases computational complexity and detail but may exceed Pine Script’s array size limits (capped at 100,000).
Multiplier for Binomial Cascade (m):
Type: Float
Default: 0.8
Purpose: Controls the asymmetry in the binomial cascade, which models trading time. The multiplier m (and its complement 2.0 - m) determines how mass is distributed across time scales. Values closer to 1 create more balanced cascades, while values further from 1 introduce more variability.
Length Scale for fBm (L):
Type: Float
Default: 100,000.0
Purpose: Scales the fractional Brownian motion output, affecting the amplitude of simulated price paths. Larger values increase the magnitude of forecasted price movements.
Cumulative Sum (cum):
Type: Integer (0 or 1)
Default: 1
Purpose: Toggles whether the fBm output is cumulatively summed (1=On, 0=Off). When enabled, the fBm series is accumulated to simulate a price path with memory, resembling a random walk with long-range dependence.
Trading Time Scale (T):
Type: Integer
Default: 5
Purpose: Defines the forecast horizon in bars (20 bars into the future). It also scales the binomial cascade’s output to align with the desired trading time frame.
Number of Simulations (num_simulations):
Type: Integer
Default: 5
Minimum: 1
Purpose: Specifies how many forecast paths are simulated and plotted. More simulations provide a broader range of possible price outcomes but increase computational load.
Core Calculations
The indicator combines several mathematical and statistical techniques to generate price forecasts. Below is a step-by-step explanation of its calculations:
Log Returns (lgr):
The indicator calculates log returns as math.log(close / close ) when both the current and previous close prices are positive. This measures the relative price change in a logarithmic scale, which is standard for financial time series analysis to stabilize variance.
Hurst Exponent Estimation (get_hurst_exponent):
Purpose: Estimates the Hurst exponent (H) to quantify the degree of long-term memory in the price series.
Method: Uses rescaled range (R/S) analysis:
For each lag from 2 to max_lag, the function calc_rescaled_range computes the rescaled range:
Calculate the mean of the log returns over the lag period.
Compute the cumulative deviation from the mean.
Find the range (max - min) of the cumulative deviation.
Divide the range by the standard deviation of the log returns to get the rescaled range.
The log of the rescaled range (log(R/S)) is regressed against the log of the lag (log(lag)) using the polyfit_slope function.
The slope of this regression is the Hurst exponent (H).
Interpretation:
H = 0.5: Random walk (no memory, like standard Brownian motion).
H > 0.5: Persistent behavior (trends tend to continue).
H < 0.5: Mean-reverting behavior (price tends to revert to the mean).
Fractional Brownian Motion (get_fbm):
Purpose: Generates a fractional Brownian motion series to model price movements with long-range dependence.
Inputs: n (array size 2^n), H (Hurst exponent), L (length scale), cum (cumulative sum toggle).
Method:
Computes covariance for fBm using the formula: 0.5 * (|i+1|^(2H) - 2 * |i|^(2H) + |i-1|^(2H)).
Uses Hosking’s method (referenced from Columbia University’s implementation) to generate fBm:
Initializes arrays for covariance (cov), intermediate calculations (phi, psi), and output.
Iteratively computes the fBm series by incorporating a random term scaled by the variance (v) and covariance structure.
Applies scaling based on L / N^H to adjust the amplitude.
Optionally applies cumulative summation if cum = 1 to produce a path with memory.
Output: An array of 2^n values representing the fBm series.
Binomial Cascade (get_binomial_cascade):
Purpose: Models trading time (theta) to account for non-uniform market activity (e.g., bursts of volatility).
Inputs: n (array size 2^n), m (multiplier), T (trading time scale).
Method:
Initializes an array of size 2^n with values of 1.0.
Iteratively applies a binomial cascade:
For each block (from 0 to n-1), splits the array into segments.
Randomly assigns a multiplier (m or 2.0 - m) to each segment, redistributing mass.
Normalizes the array by dividing by its sum and scales by T.
Checks for array size limits to prevent Pine Script errors.
Output: An array (theta) representing the trading time, which warps the fBm to reflect market activity.
Interpolation (interpolate_fbm):
Purpose: Maps the fBm series to the trading time scale to produce a forecast.
Method:
Computes the cumulative sum of theta and normalizes it to .
Interpolates the fBm series linearly based on the normalized trading time.
Ensures the output aligns with the trading time scale (T).
Output: An array of interpolated fBm values representing log returns over the forecast horizon.
Price Path Generation:
For each simulation (up to num_simulations):
Generates an fBm series using get_fbm.
Interpolates it with the trading time (theta) using interpolate_fbm.
Converts log returns to price levels:
Starts with the current close price.
For each step i in the forecast horizon (T), computes the price as prev_price * exp(log_return).
Output: An array of price levels for each simulation.
Visualization:
Trigger: Updates every T bars when the bar state is confirmed (barstate.isconfirmed).
Process:
Clears previous lines from line_array.
For each simulation, plots a line from the current bar’s close price to the forecasted price at bar_index + T.
Colors the line using a gradient (color.from_gradient) based on the final forecasted price relative to the minimum and maximum forecasted prices across all simulations (red for lower prices, teal for higher prices).
Output: Multiple colored lines on the chart, each representing a possible price path over the next T bars.
How It Works on the Chart
Initialization: On each bar, the indicator calculates the Hurst exponent (H) using historical log returns and prepares the trading time (theta) using the binomial cascade.
Forecast Generation: Every T bars, it generates num_simulations price paths:
Each path starts at the current close price.
Uses fBm to model log returns, warped by the trading time.
Converts log returns to price levels.
Plotting: Draws lines from the current bar to the forecasted price T bars ahead, with colors indicating relative price levels.
Dynamic Updates: The forecast updates every T bars, replacing old lines with new ones based on the latest price data and calculations.
Key Features
Multifractal Modeling: Captures complex market dynamics by combining fBm (long-range dependence) with a binomial cascade (non-uniform time).
Customizable Parameters: Allows users to adjust the forecast horizon, model resolution, scaling, and number of simulations.
Probabilistic Forecast: Multiple simulations provide a range of possible price outcomes, helping traders assess uncertainty.
Visual Clarity: Gradient-colored lines make it easy to distinguish bullish (teal) and bearish (red) forecasts.
Potential Use Cases
Trend Analysis: Identify potential price trends or reversals based on the direction and spread of forecast lines.
Risk Assessment: Evaluate the range of possible price outcomes to gauge market uncertainty.
Volatility Analysis: The Hurst exponent and binomial cascade provide insights into market persistence and volatility clustering.
Limitations
Computational Intensity: Large values of n or num_simulations may slow down execution or hit Pine Script’s array size limits.
Randomness: The binomial cascade and fBm rely on random terms (math.random), which may lead to variability between runs.
Assumptions: The model assumes log-normal price movements and fractal behavior, which may not always hold in extreme market conditions.
Adjusting Inputs:
Set max_lag based on the desired depth of historical analysis.
Adjust n for model resolution (start with 4–6 to avoid performance issues).
Tune m to control trading time variability (0.5–1.5 is typical).
Set L to scale the forecast amplitude (experiment with values like 10,000–1,000,000).
Choose T based on your trading horizon (20 for short-term, 50 for longer-term for example).
Select num_simulations for the number of forecast paths (5–10 is reasonable for visualization).
Interpret Output:
Teal lines suggest bullish scenarios, red lines suggest bearish scenarios.
A wide spread of lines indicates high uncertainty; convergence suggests a stronger trend.
Monitor Updates: Forecasts update every T bars, so check the chart periodically for new projections.
Chart Examples
This is a daily AMEX:SPY chart with default settings. We see the simulations being done every T bars and they provide a range for us to analyze with a few simulations still in the range.
On this intraday PEPPERSTONE:COCOA chart I modified the Length Scale for fBm, L, parameter to be 1000 from 100000. Adjusting the parameter as you switch between timeframes can give you more contextual simulations.
On BITSTAMP:ETHUSD I modified the L to be 1000000 to have a more contextual set of simulations with crypto's volatile nature.
With L at 100000 we see the range for NASDAQ:TLT is correctly simulated. The recent pop stays within the bounds of the highest simulation. Note this is a cherry picked example to show the power and potential of these simulations.
Technical Notes
Error Handling: The script includes checks for array size limits and division by zero (math.abs(denominator) > 1e-10, v := math.max(v, 1e-10)).
External Reference: The fBm implementation is based on Hosking’s method (www.columbia.edu), ensuring a robust algorithm.
Conclusion
The Multifractal Forecast is a powerful tool for traders seeking to model complex market dynamics using a multifractal framework. By combining fBm, binomial cascades, and Hurst exponent analysis, it generates probabilistic price forecasts that account for long-range dependence and non-uniform market activity. Its customizable inputs and clear visualizations make it suitable for both technical analysis and strategy development, though users should be mindful of its computational demands and parameter sensitivity. For optimal use, experiment with input settings and validate forecasts against other technical indicators or market conditions.
Algorithmic Candle Finder {Darkoexe}Algorithmic Candle Finder Indicator
Algorithmic candles are candles whose size and direction are significantly influenced by institutions or large players using market algorithms. These entities can move large amounts of capital in or out of the market, creating price moves that are often difficult for retail traders to predict or react to.
This can make short-term retail trading risky and inconsistent, especially when unaware of such institutional activity. The goal of this indicator is to help identify such candles, allowing traders to avoid trading during times of potential algorithmic influence.
Detection Criteria:
A candle is marked as algorithmic if either of the following conditions are met:
Size-Based Detection: If the current candle’s size exceeds the Average True Range (ATR) of the previous candle multiplied by the ATR factor input.
Volume-Based Detection: If the current candle’s volume exceeds the average volume of recent candles (e.g., last N candles) multiplied by the volume factor input.
When a candle is deemed algorithmic, a label saying "Algo!!!!!" will appear on the chart above the candle where the condition occurred.
Usage:
Use this indicator to study which times of day algorithmic candles frequently appear. This can help you adjust your strategy to avoid trading during these unpredictable moments.
Analogy:
Think of the market like the game Agar.io: small players (retail traders) collect small pellets to grow, while larger players (institutions) devour smaller ones. The small players must avoid the big ones to survive. Likewise, in trading, retail traders should aim to avoid high-impact algorithmic activity that could “consume” their trades.
Lucy – 3-Bar Reversal with EMA50 Trend Filter📛 Lucy – 3-Bar Reversal with EMA50 Trend Filter
Purpose:
To detect and highlight bullish and bearish 3-bar reversal patterns on the chart, but only when they align with the dominant trend, defined by the EMA 50.
✅ How It Works
🟢 Bullish 3-Bar Reversal (Buy Setup):
Bar 1 is bearish (close < open)
Bar 2 makes a lower low than Bar 1
Bar 3 is bullish (close > open) and closes above Bar 2’s high
Price must be above EMA 50 (trend filter)
✅ Result: Shows a green triangle below the bar
🔴 Bearish 3-Bar Reversal (Sell Setup):
Bar 1 is bullish (close > open)
Bar 2 makes a higher high than Bar 1
Bar 3 is bearish (close < open) and closes below Bar 2’s low
Price must be below EMA 50
✅ Result: Shows a red triangle above the bar
📊 What It Plots:
🔼 Green triangle below bullish signal bar
🔽 Red triangle above bearish signal bar
🟠 Orange line = EMA50 (trend filter)
🔔 Built-in Alerts:
You’ll get an alert if:
A bullish reversal pattern forms above EMA50
A bearish reversal pattern forms below EMA50
🧠 Use Cases:
Great for trend-following traders who want clean, price-action entries
Works well on intraday (15m/1h) or swing (4h/daily) timeframes
Can be used for manual entries, or converted to strategy for automation
