Stochastic RSI with MTF TableThis Pine Script creates a Stochastic RSI indicator with a multi-timeframe (MTF) table for TradingView. It calculates the Stochastic RSI (using RSI length of 14, Stochastic length of 14, and smoothing of 3 for K and D lines) on the current chart timeframe and plots K (blue) and D (orange) lines, with overbought (80) and oversold (20) levels. The script also displays a horizontal table showing the overbought/oversold status for multiple timeframes (5m, 15m, 30m, 1h, 4h, 1D), with customizable table position (Top-Left, Top-Right, Bottom-Left, Bottom-Right). The table uses green for oversold, red for overbought, and gray for neutral, ensuring independent calculations for each timeframe using historical data to avoid repainting.
Penunjuk dan strategi
Bollinger + EMA Strategy with Statsif show_stats and bar_index == ta.highest(bar_index, 50)
winrate = strategy.closedtrades > 0 ? (strategy.wintrades / strategy.closedtrades) * 100 : na
label_text = "Net Profit: " + str.tostring(strategy.netprofit, "#.##") + " " +
"Max DD: " + str.tostring(max_dd * 100, "#.##") + "% " +
"Win Rate: " + str.tostring(winrate, "#.##") + "% " +
"Trades: " + str.tostring(strategy.closedtrades)
label.new(x=bar_index, y=high, text=label_text,
style=label.style_label_right, color=color.gray, textcolor=color.white)
Bollinger + EMA Strategy with StatsThis strategy is a mean-reversion trading model that combines Bollinger Band deviation entries with EMA-based exits. It enters a long position when the price drops significantly below the lower Bollinger Band by a user-defined multiple of standard deviation (x), and a short position when the price exceeds the upper band by the same logic. To manage risk, it uses a wider Bollinger Band threshold (y standard deviations) as a stop loss, while take profit occurs when the price reverts to the n-period EMA, indicating mean reversion. The strategy maintains only one active position at a time—either long or short—and allocates a fixed percentage of capital per trade. Performance metrics such as equity curve, drawdown, win rate, and total trades are tracked and displayed for backtesting evaluation.
HTF/LTF Boxes DRBBUpdated original script with gann box of previous hour and added second LTF box.
All credits to an author of an original code @smitty1021
MM Smart Visualizer V2📌 Indicator Description for TradingView:
MM Smart Visualizer V2 – Limited Free Version
This indicator is designed for traders who want to understand Market Maker behavior (MM) and make smarter trading decisions using a multi-layered visual analysis.
🔍 Features:
📊 Multi-timeframe trend detection (4H, 1H, 15m, 5m) – automatically identifies trend direction based on SMA 50/200
💡 Smart Sentiment Analysis – detects strong bullish/bearish candles based on volume and SMA positioning, shown with visual arrows
🚨 Fakeout Detection – identifies liquidity grabs and false breakouts above or below previous swing points
🔵🔴 4H Support & Resistance Levels – draws automatic key S/R lines from higher timeframe
📦 MM Info Panel – displays trend direction, volume strength, price location within range, sentiment, and fakeout signals in one clean box
✅ Ideal for scalpers, intraday, and swing traders looking to catch clean, confirmed entries without noise.
📣 This version is free for a limited time only.
The indicator will soon become invite-only for traders who support the project.
🔒 Enjoy the free access while it lasts. If you like it, follow for updates and future premium tools.
#MMVisualizer #SmartTrading #MarketMakerTools #FakeoutDetector #VolumePower #XAUUSD #PineScript #ScalpingTools
RSI EMA Candle Size Strategy//@version=5
strategy("RSI EMA Candle Size Strategy", overlay=true)
// Indikator teknikal
emaFast = ta.ema(close, 10)
emaSlow = ta.ema(close, 50)
rsiValue = ta.rsi(close, 14)
candleSize = math.abs(close - open)
// Kondisi Buy
buyCondition = rsiValue < 51 and emaFast < emaSlow and candleSize < 0.00025
if buyCondition
strategy.entry("BUY", strategy.long)
alert("BUY", alert.freq_once_per_bar_close)
// Kondisi Sell
sellCondition = rsiValue > 49 and emaFast > emaSlow and candleSize < 0.00025
if sellCondition
strategy.entry("SELL", strategy.short)
alert("SELL", alert.freq_once_per_bar_close)
// Plot
plot(emaFast, title="EMA 10", color=color.orange)
plot(emaSlow, title="EMA 50", color=color.blue)
Change in State of Delivery (CISD) [SB Instant]🧠 Modified by SB | Core Logic by LuxAlgo
🔗 Licensed under CC BY-NC-SA 4.0
Change in State of Delivery (CISD) is a concept rooted in observing shifts in order flow behavior, designed to detect the first signs of trend exhaustion and potential reversal. This model tracks when the current delivery (trend) structure — bullish or bearish — is violated by an opposing force, signaling a potential change in market intent.
In simple terms:
A Bullish CISD is triggered when sellers fail to maintain control, and buyers break above a delivery line.
A Bearish CISD is triggered when buyers fail, and sellers break below a delivery line.
This version uses real-time logic, triggering alerts immediately on break, rather than waiting for candle-close confirmation — giving faster, actionable signals to precision-driven traders.
⚙️ Core Features
Detection Modes
Classic: Traditional swing-based structural break detection
Liquidity Sweep: Logic incorporating wick sweeps (liquidity grabs)
Custom Parameters
Swing Length: Number of candles used to identify swing points
Minimum CISD Duration: Minimum length required for valid delivery phase
Maximum Swing Validity: How long the structure remains valid for potential breaks
Visual Options
Label and line styling options
Solid line = Initial break of delivery structure
Dashed line = Continuation break in the same trend direction
This allows you to visually differentiate a new reversal vs. a continuation of the existing trend.
🚨 Built-in Alerts
Bullish CISD Detected (Instant)
Bearish CISD Detected (Instant)
These alerts fire immediately when structure is broken, offering early confirmation for aggressive or reactive trade setups.
🔔 IMPORTANT:
If an alert triggers but the delivery line is not present, wait for the price to form the CISD label again and manually mark the price level using a horizontal ray. This ensures you are trading from a clearly defined structure.
🕒 Recommended Timeframes
✅ Use 30-Minute or 4-Hour charts to identify high-confidence CISD zones
🎯 Then drop to the 1-Minute or 5-Minute chart for precise entry execution
This top-down approach aligns higher timeframe narrative with lower timeframe entry triggers, increasing your edge in both timing and context.
🧠 How to Use CISD Effectively
Bullish Scenario:
Watch for breaks above bearish delivery structures, especially if confirmed with:
Fair Value Gaps (FVG)
The Strat 2-2 reversal
MSS (Market Structure Shift)
Bearish Scenario:
Look for breaks below bullish delivery setups in alignment with:
BOS (Break of Structure)
The Strat 3-1-2
Bearish liquidity sweeps
Key Tip:
Solid line = Initial CISD (new shift)
Dashed line = Continuation of current trend
This visual distinction helps you determine when a market is shifting vs. extending.
📎 Disclaimer
This tool is provided for educational purposes only and is not intended as financial advice. Always backtest, paper trade, and manage risk responsibly.
📚 Credits
Original CISD framework developed by LuxAlgo
Real-time execution logic, alert enhancements, and intraday utility designed by SB (SamB)
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.
ChopFlow ATR Scalp StrategyA lean, high-velocity scalp framework for NQ and other futures that blends trend clarity, volume confirmation, and adaptive exits to give you precise, actionable signals—no cluttered bands or lagging indicators.
⸻
🔍 Overview
This strategy locks onto rapid intraday moves by:
• Filtering for directional momentum with the Choppiness Index (CI)
• Confirming conviction via On-Balance Volume (OBV) against its moving average
• Automatically sizing stops and targets with a multiple of the Average True Range (ATR)
It’s designed for scalp traders who need clean, timely entries without wading through choppy noise.
⸻
⚙️ Key Features & Inputs
1. ATR Length & Multiplier
• Controls exit distances based on current volatility.
2. Choppiness Length & Threshold
• Measures trend strength; only fires when the market isn’t “stuck in the mud.”
3. OBV SMA Length
• Smoothes volume flow to confirm genuine buying or selling pressure.
4. Custom Session Hours
• Avoid overnight gaps or low-liquidity periods.
All inputs are exposed for rapid tuning to your preferred scalp cadence.
🚀 How It Works
1. Long Entry triggers when:
• CI < threshold (strong trend)
• OBV > its SMA (positive volume flow)
• You’re within the defined session
2. Short Entry mirrors the above (CI < threshold, OBV < SMA)
3. Exit uses ATR × multiplier for both stop-loss and take-profit
⸻
🎯 Usage Tips
• Start with defaults (ATR 14, multiplier 1.5; CI 14, threshold 60; OBV SMA 10).
• Monitor signal frequency, then tighten/loosen CI or OBV look-back as needed.
• Pair with a fast MA crossover or price-action trigger if you want even sharper timing.
• Backtest across different sessions (early open vs. power hours) to find your edge.
⸻
⚠️ Disclaimer
This script is provided “as-is” for educational and research purposes. Always paper-trade any new setup extensively before deploying live capital, and adjust risk parameters to your personal tolerance.
⸻
Elevate your scalp game with ChopFlow ATR—where trend, volume, and volatility converge for clear, confident entries. Happy scalping!
Multi-Timeframe EMAs with Cross Alerts (Up & Down)📌 Indicator Name:
Multi-Timeframe EMAs with Cross Alerts (Up & Down)
🛠️ Core Features:
✅ 1. Multi-Timeframe EMA Display
The script calculates and displays 6 different Exponential Moving Averages (EMAs).
Each EMA has:
Custom length input (e.g., 9, 21, etc.).
Custom timeframe selection (e.g., 1H, 4H, 1D).
Custom color for easy identification on the chart.
✅ 2. EMA Visualization
Each of the six EMAs is plotted on the chart using the selected color and thickness.
They respond dynamically to different timeframes (current or higher/lower).
✅ 3. Cross Detection Logic
The script can detect crossover and crossunder between EMA pairs:
EMA 1 and EMA 2
EMA 3 and EMA 4
EMA 5 and EMA 6
(Optional: can be extended to other combinations.)
✅ 4. Alert Toggles
Users can enable or disable alerts for each pair independently:
Alert: EMA 1 crosses EMA 2
Alert: EMA 3 crosses EMA 4
Alert: EMA 5 crosses EMA 6
(You added an additional option for EMA 4 vs EMA 6 later.)
✅ 5. Visual Alert Markers
The script uses alert() function to send alert messages when:
An EMA crosses above another (crossover)
An EMA crosses below another (crossunder)
Alerts include clear icons like 🔼 and 🔽 in the messages.
🔔 Use Case Scenarios
Swing traders: Identify longer-term cross signals on higher timeframes.
Scalpers: Use lower-timeframe EMAs with fast alert reactions.
Multi-timeframe analysis: Spot alignment between trend-following EMAs across different periods.
✅ Bonus
Fully customizable — great for adapting to your own strategy, whether it's trend confirmation, re-entry signals, or early reversals
📌 اسم المؤشر:
المتوسطات المتحركة الأسية (EMA) متعددة الفريمات مع تنبيهات تقاطع صاعدة وهابطة
🛠️ الميزات الأساسية:
✅ 1. دعم متعدد للفريمات الزمنية
يقوم السكربت بحساب وعرض 6 متوسطات متحركة أسية (EMA) مختلفة.
يمكن تخصيص كل EMA من حيث:
الطول (مثل: 9، 21...).
الفريم الزمني (مثل: الساعة، الأربع ساعات، اليومي...).
اللون، لتسهيل التمييز بين الخطوط على الشارت.
✅ 2. عرض المتوسطات على الرسم البياني
يتم رسم كل من المتوسطات الستة باستخدام اللون والتنسيق الذي تختاره.
المتوسطات تتفاعل تلقائيًا مع التغييرات في الفريم الزمني.
✅ 3. كشف التقاطعات
يمكن للسكربت كشف تقاطعات (صعودًا أو هبوطًا) بين أزواج المتوسطات التالية:
EMA 1 و EMA 2
EMA 3 و EMA 4
EMA 5 و EMA 6
(ويمكنك إضافة المزيد مثل EMA 4 مع EMA 6 حسب الحاجة)
✅ 4. التحكم في التنبيهات
يمكن للمستخدم تفعيل أو تعطيل التنبيهات لكل زوج من المتوسطات على حدة:
تنبيه عند تقاطع EMA 1 و EMA 2
تنبيه عند تقاطع EMA 3 و EMA 4
تنبيه عند تقاطع EMA 5 و EMA 6
(وأي أزواج إضافية يتم إضافتها لاحقًا)
✅ 5. تنبيهات مرئية برسائل واضحة
السكربت يرسل تنبيهات عبر وظيفة alert() عند حدوث:
تقاطع صاعد (EMA يتقاطع من الأسفل إلى الأعلى).
تقاطع هابط (EMA يتقاطع من الأعلى إلى الأسفل).
التنبيه يحتوي على رموز توضيحية مثل 🔼 و 🔽 ليسهل قراءته.
🎯 مناسب لـ:
المتداولين المتأرجحين (Swing Traders): لاكتشاف تقاطعات على الفريمات الكبرى.
المضاربين (Scalpers): باستخدام EMA سريعة على فريمات صغيرة مع تنبيهات فورية.
محللي الفريمات المتعددة: لتأكيد الاتجاه أو الانعكاس بناءً على تقاطع متوسطات من فريمات مختلفة.
✅ مزايا إضافية:
قابل للتخصيص بشكل كامل حسب استراتيجيتك.
مناسب لعدة أساليب: تأكيد الترند، إعادة الدخول، أو إشارات الانعكاس المبكر.
Grid Bot Visualizer V1
📊 Grid Bot Visualizer – V1
A dynamic and visual support tool for grid trading strategies.
🔧 Key Features
• Fixed grid levels based on a central entry price
• Customizable spacing, number of levels, and range
• Color-coded lines (🟢 green above, 🔴 red below)
• Expands automatically when price exceeds boundaries (within the defined box)
• Optional price labels shown outside the grid
• Grid visually framed by a blue box
• Vertical line to mark grid origin
• Built-in alert when price hits a grid level
⚙️ Use Case
Ideal for visualizing grid bot logic in volatile markets.
Monitor how price interacts with predefined zones.
✅ Alert Ready
Use alertcondition to get notified when a grid level is touched.
Compression Patterns (w/ Trend + Proximity Filter)🧠 Description:
This indicator identifies high-probability price compression patterns within trending environments — a setup prized by experienced swing and day traders alike. It combines the classic NR4, NR7, 2-Bar NR, 3-Bar NR, and Inside Day formations with a powerful trend filter and proximity logic to deliver clear, focused signals.
🔍 What's Inside:
▪️ Compression Patterns
The core of this tool lies in the logic of price compression. These patterns signal the market taking a breath — volatility contracts, volume dries up, and price coils like a spring.
When this happens in the right context, the next move is often explosive.
NR4 / NR7: Narrowest range in 4 or 7 bars — excellent for spotting the quiet before the storm.
2-Bar NR / 3-Bar NR: These identify the tightest consecutive 2 or 3-day ranges over the past 20 days — contextually rare and powerful.
Inside Day: A simple but highly effective consolidation pattern, especially when it clusters around key moving averages.
▪️ Trend Filter (EMA Stack)
You could say this is where most indicators fall apart — no context.
This one doesn’t make that mistake.
Signals only fire when the 10 EMA > 20 EMA > 50 EMA, and price is above the 20 EMA. That’s a strong, established uptrend — the only environment where breakouts are statistically favourable.
Why?
Because trend following works.
It may not give you fixed daily returns, but it’s the only strategy with theoretically infinite profit potential. You risk little, trade less, and position yourself for rare but massive moves. That’s the edge.
▪️ Proximity Filter (1 ATR to EMA)
We’ve added another layer of discipline. Signals only fire when price is:
Within 1 ATR of the 10 EMA (if price is above it), or
Within 1 ATR of the 20 EMA (if price is below the 10 EMA)
This ensures you’re not chasing. You’re waiting for tight, controlled pullbacks into dynamic support — exactly where institutions add size, not exit.
⚙️ Fully Customisable:
Toggle visibility of each pattern
Custom colours and transparency for label & background
Adjustable ATR length and multiplier
Change label text if needed (useful for translations or tweaks)
🎯 Ideal Use Case:
Swing trading off the daily chart
Day trading with VWAP/MACD filters (in alternate versions)
Supplementing price action strategies
🔚 Final Word:
This isn’t an “everything scanner.”
It’s a discerning sniper scope for traders who wait patiently for clean trends, tight consolidations, and perfect proximity — then strike.
SmartScale Envelope DCA This is a Dollar-Cost Averaging (DCA) long strategy that buys when price dips below a moving average envelope and adds to the position in a stepwise, risk-controlled way. It uses up to 8 buy-ins, applies a cooldown between entries, and exits based on either a take profit from average entry price or a stop loss. Backtest range limits trades to the last 365 days for backtest control.
All input settings can and should be adjusted to the chart, as volatility in price action varies. Simply go into the inputs settings, and start from the top and move down to get better backtest results. Moving from the top down has been proven to give the best results. Then, move to properties and set your order size, pyramiding, and so on. It may be necessary to then fine tune your adjustments a second time to dial it in.
Works well on 1 hour time frames and in volatility.
Happy Trading!
ICT Macro H1 v2"H1 Candle Time Box" is a custom TradingView indicator that highlights a configurable time window surrounding the close of each 1-hour (H1) candle. The indicator draws a transparent box 15 minutes before and after each H1 candle close (by default), helping traders visualize time-based reaction zones.
🔍 Features:
Custom time window: Users can set how many minutes before and after the H1 close the box should appear.
Dynamic positioning: Boxes are drawn slightly above the candles to avoid overlap with price bars.
Live time labels: Each box displays its time range (e.g., "08:45 - 09:15") based on the start and end time of the zone.
Auto-cleaning: Only a limited number of recent boxes (default: 5) are shown, keeping the chart clean.
Requires 1-minute chart for precise timing.
This tool is especially helpful for intraday traders to identify areas of interest or market reactions before and after key hourly closes.
Zonas de Compra y Venta ScalpingRIXAR, buy and sell zones in xauusdBUY
rixar, buy and sell zones in xauusd,
indicator for gold, where the red zone indicates sells and the green zone indicates buys.
indicator
.
.
3 Zero Lag + 3 Moving Averages + 3 RVWAPThe "3 Zero Lag + 3 Moving Averages + 3 RVWAP" (ZMR) indicator combines three groups of tools for technical analysis.
1. Three Customizable Moving Averages (MAs):
Configuration for Each MA:
Choice of 7 types (SMA, EMA, WMA, HMA, VWMA, LSMA, SMMA).
Independent periods and price sources for each line.
Visualization:
MA1 (Blue), MA2 (Red), MA3 (Green).
2. Three Zero Lag EMAs (ZLEMA) with Individual Settings:
Lag Reduction: Corrects traditional EMA lag using:
Adjusted Price = 2 * Current Price - Price .
Flexibility:
Unique lengths (20, 50, 70) and individual price sources for each ZLEMA (HLC3, HL2, Close, etc.).
Colors:
ZLEMA1 (Yellow), ZLEMA2 (Orange), ZLEMA3 (Purple).
3. Three Rolling VWAPs with Custom Parameters:
Volume-Weighted Average Price (VWAP):
Calculated for three periods (20, 50, 100) with dedicated price sources for each VWAP.
Colors:
VWAP1 (Pink), VWAP2 (Light Blue), VWAP3 (Neon Green).
ICT Macro H1"H1 Candle Time Box" is a custom TradingView indicator that highlights a configurable time window surrounding the close of each 1-hour (H1) candle. The indicator draws a transparent box 15 minutes before and after each H1 candle close (by default), helping traders visualize time-based reaction zones.
🔍 Features:
Custom time window: Users can set how many minutes before and after the H1 close the box should appear.
Dynamic positioning: Boxes are drawn slightly above the candles to avoid overlap with price bars.
Live time labels: Each box displays its time range (e.g., "08:45 - 09:15") based on the start and end time of the zone.
Auto-cleaning: Only a limited number of recent boxes (default: 5) are shown, keeping the chart clean.
Requires 1-minute chart for precise timing.
This tool is especially helpful for intraday traders to identify areas of interest or market reactions before and after key hourly closes.
True Range Orginal📌 Description – True Range Original
This indicator calculates the range (price spread) of the last N candles and displays it directly on the chart, along with suggested dynamic stop-loss levels based on recent volatility. Ideal for scalpers and day traders working on short timeframes such as 1-minute charts.
🔍 Features:
Calculates the difference between the highest high and lowest low of the last N bars (default: 15).
Plots a floating label with the current range value, updated every 5 candles.
Displays 4 dynamic stop levels:
For long positions:
Stop at 1x range (green line)
Stop at 1.5x range (light green line)
For short positions:
Stop at 1x range (red line)
Stop at 1.5x range (dark red line)
⚙️ Inputs:
Range period (number of bars)
Stop multiplier 1 (default: 1.0)
Stop multiplier 2 (default: 1.5)
📈 Usage:
This tool helps you size your stop-loss dynamically based on recent price action instead of using fixed values. It can be used alone or in combination with other tools like support/resistance, volume, or aggression indicators.
[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! 👋💰
ICT Macro H1"H1 Candle Time Box" is a custom TradingView indicator that highlights a configurable time window surrounding the close of each 1-hour (H1) candle. The indicator draws a transparent box 15 minutes before and after each H1 candle close (by default), helping traders visualize time-based reaction zones.
🔍 Features:
Custom time window: Users can set how many minutes before and after the H1 close the box should appear.
Dynamic positioning: Boxes are drawn slightly above the candles to avoid overlap with price bars.
Live time labels: Each box displays its time range (e.g., "08:45 - 09:15") based on the start and end time of the zone.
Auto-cleaning: Only a limited number of recent boxes (default: 5) are shown, keeping the chart clean.
Requires 1-minute chart for precise timing.
This tool is especially helpful for intraday traders to identify areas of interest or market reactions before and after key hourly closes.
Hộp thời gian quanh đóng nến H1"H1 Candle Time Box" is a custom TradingView indicator that highlights a configurable time window surrounding the close of each 1-hour (H1) candle. The indicator draws a transparent box 15 minutes before and after each H1 candle close (by default), helping traders visualize time-based reaction zones.
🔍 Features:
Custom time window: Users can set how many minutes before and after the H1 close the box should appear.
Dynamic positioning: Boxes are drawn slightly above the candles to avoid overlap with price bars.
Live time labels: Each box displays its time range (e.g., "08:45 - 09:15") based on the start and end time of the zone.
Auto-cleaning: Only a limited number of recent boxes (default: 5) are shown, keeping the chart clean.
Requires 1-minute chart for precise timing.
This tool is especially helpful for intraday traders to identify areas of interest or market reactions before and after key hourly closes.
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
