Premarket High Low 4:00 at 9:30 AMThis indicator is designed for scalping in 2-minute intervals, taking into account that trading should occur after an SMA 13 / SMA 20 / SMA 200 compression.
النطاقات والقنوات
ChanLun Structure: K/Fractals/Strokes/Segments/ZhongShuThis script implements the "line and center" concept of CHANLUN.
MASTER MACD'S Plus2nd Indicator- Description to come later... Invite only Go to the indicator then invite only. Click invite only and it should show up under my scripts. Save as a favorite and in settings click checkboxes Enable Ghost MacD MOdule, Show Histograms, Show Zero Line, Show Adaptive Zero Buff, Show engage Labels, Show RSI Zones, , and Smooth RSI. I will provide a better description later.
Pi Strategy Cross Harmonicsstill customizing this one, buy and sell seems to off on alternate time settings.
a work in progress, see if this works for anyone.
thanks again.
Scalping Signals with MTF Fibo BandsThis indicator is a scalping / intraday signal system built on Multi-Timeframe (MTF) Fibonacci Bands, combined with an RSI midline filter and an optional direction-lock mechanism to reduce consecutive losing entries.
🔹 What does this indicator do?
It plots two independent Fibonacci Band sets (A & B), each calculated from a higher timeframe SMA + ATR.
Entry zones are defined between Band 2 and Band 3, representing statistically extreme price areas.
You can choose to generate signals from:
Band A only
Band B only
BOTH (A + B confirmation)
📈 Entry Logic
LONG
Price closes inside the Lower Zone (between Fib2 Lower & Fib3 Lower)
RSI is above the midline (default 50)
SHORT
Price closes inside the Upper Zone (between Fib2 Upper & Fib3 Upper)
RSI is below the midline (default 50)
🟧 Direction Lock System
If enabled, the indicator locks the trade direction when a position hits Stop Loss before reaching TP1.
This prevents repeated entries in the same direction during unfavorable conditions.
🔓 Unlock Logic
The lock can be removed when:
RSI crosses back over the midline (RSI > 50 for LONG, RSI < 50 for SHORT)
AND price closes again inside the valid Band 2–3 zone
With the optional setting enabled, a new entry can occur on the same candle
🛑 Stop Loss Logic (Important)
This indicator uses price-action-based stop logic, not fixed pip stops.
1️⃣ Before TP1
LONG: Two consecutive candle closes below Fib3 Lower
SHORT: Two consecutive candle closes above Fib3 Upper
⚠️ Because SL depends on candle closes, you must monitor lower timeframes (1m or below) to react quickly and avoid delayed exits.
2️⃣ After TP1 (Break-Even Protection)
Once TP1 is touched:
SL automatically shifts to Break-Even (entry price)
Any return to entry will close the position
⚠️ Usage Warning
This indicator is NOT designed for sharp, explosive, or news-driven moves
Avoid using it during:
High-impact news
Extremely fast impulsive candles
Sudden volatility spikes
Best performance is achieved in structured price action environments, not chaotic market conditions.
GS Volume Truth Serum (With Alerts)this tells you when institutions are behind a move and its not a bull trap
UK Public Oneside V2This strategy combines RSI, Stochastic Oscillator, and a 50 EMA trend filter to identify moderate-risk trading opportunities in trending markets.
How it works:
Long entries occur when RSI and Stochastic are in oversold conditions while price is above the 50 EMA.
Short entries occur when RSI and Stochastic are in overbought conditions while price is below the 50 EMA.
Trades are confirmed on the previous candle, avoiding premature entries and exits.
Risk management is handled using fixed percentage stop-loss with configurable risk-to-reward targets.
Optional RSI-based exits close positions early during overbought or oversold conditions.
Key Features:
Trend-filtered entries using EMA 50
Non-repainting logic (confirmed candle signals)
Configurable stop-loss and reward ratio
Works well for scalping and intraday trading
Suitable for crypto, forex, and indices
Recommended Timeframes:
5m, 15m, 30m
Note:
This strategy is designed for educational and research purposes. Always forward-test and apply proper risk management before using in live trading.
Quantum Algo Matrix Quantum Algo Matrix
Multi-Layer Market Intelligence
🔹 Overview
Quantum Algo Matrix is a multi-dimensional market analysis system designed to identify high-probability reversal and continuation zones by combining momentum, volatility, trend structure, multi-timeframe correlation, and AI-based confirmation into a single, coherent framework.
Instead of relying on a single indicator, this script cross-validates signals across independent methodologies, significantly reducing noise and false positives.
It is best suited for active traders, swing traders, and systematic traders who value confirmation, structure, and context over single-trigger signals.
🧠 Core Components & How They Work Together
1️⃣ WaveTrend Engine (Market Structure & Extremes)
At the heart of the system lies a WaveTrend oscillator, which identifies overbought and oversold market conditions with multiple graded levels:
Level 1 (L1) → Primary extreme zones
Level 2 (L2) → Secondary confirmation zones
Level 0 (L0) → Extended exhaustion zones beyond normal extremes
Signals are only considered when WaveTrend momentum confirms a structural extreme, ensuring trades are taken where risk-reward is asymmetric, not mid-range.
Visual differentiation (lines, dots, and crosses) clearly communicates signal strength and hierarchy.
2️⃣ WVF – Volatility Reversal Detection
The WVF module tracks volatility expansion and contraction relative to historical extremes:
Identifies panic selling and emotional spikes
Uses percentile-based thresholds, not fixed values
Optional standard deviation & range filters reduce noise
WVF reversal signals are gated by WaveTrend zones, meaning volatility alone is never enough — price must also be in a statistically significant location.
This avoids the common pitfall of chasing volatility in trending or neutral conditions.
3️⃣ Squeeze Momentum (SQZ) – Pressure & Energy Release
The Squeeze Momentum module measures volatility compression vs expansion, highlighting when the market is:
Building pressure (compression)
Releasing energy (expansion)
Unlike traditional implementations, SQZ is scaled to the WaveTrend range, allowing it to visually integrate with the rest of the system.
The result is a clear momentum context that confirms whether a signal occurs:
Into expansion (higher probability)
Or during decay (lower probability)
4️⃣ Multi-Timeframe Correlation (MTF Filter)
One of the most powerful features of Quantum Algo Matrix is its Multi-Timeframe WaveTrend Correlation Filter.
When enabled, the script checks WaveTrend conditions across multiple higher timeframes (user-selectable):
45m
60m
120m
(optional lower / higher frames)
A signal is only validated when current timeframe conditions align with higher-timeframe momentum, ensuring:
Trades are with the broader market context
Lower-timeframe noise is filtered out
Counter-trend signals are reduced
This is especially effective in volatile or choppy markets.
5️⃣ AI SuperTrend Clustering (Advanced Confirmation Layer)
The AI module introduces a machine-learning-inspired clustering approach:
Multiple SuperTrend variations are generated
Their behavior is clustered using K-means logic
Bullish, bearish, and neutral consensus streams are extracted
Output is normalized and scaled to the WaveTrend environment
Rather than predicting price, the AI acts as a confidence validator:
Confirms strength
Filters weak setups
Prevents entries during indecision
This layer dramatically improves signal quality consistency, especially during transitions and regime changes.
🎯 Final Signal Logic (Why It’s Accurate)
A final LONG or SHORT signal is only produced when:
✔ WaveTrend confirms a valid extreme
✔ Volatility (WVF) shows a qualified reversal or memory condition
✔ Momentum (SQZ) supports expansion or pressure release
✔ Multi-Timeframe structure is aligned (optional)
✔ AI consensus confirms directional confidence (optional)
Because each component is independent, the probability of random alignment is low — this is what makes the system robust and statistically sound.
🧩 Customization & Flexibility
Every module can be enabled or disabled
Visuals are clean and user-controlled
Works on all markets (crypto, forex, indices, stocks)
Optimized for intraday to swing timeframes
No repainting logic in signal generation
⚠️ Important Notes
This script is a decision-support system, not a prediction tool.
It is designed to help traders identify high-quality opportunities, manage risk more effectively, and avoid emotional trading.
Always combine with:
Proper risk management
Market structure awareness
Personal trading rules
⭐ Summary
Quantum Algo Matrix is not a single indicator —
it is a complete market intelligence framework.
By blending structure, volatility, momentum, correlation, and AI-based confirmation, it delivers clearer signals, fewer false positives, and stronger contextual awareness across all timeframes.
Opening Range Breakout & Targets [Strategy] (Fixed + Alerts)This strategy backtests a classic Opening Range Breakout approach using a configurable opening range window (time-based OR or custom session). Once the opening range is completed, the strategy waits for price to break above ORH (Opening Range High) or below ORL (Opening Range Low) and enters in the direction of the breakout.
Targets are derived directly from the opening range width:
OR Width = ORH − ORL
Target Step = OR Width × Target %
Take-profit is placed at the selected Target # (T1, T2, etc.)
An optional Daily Bias filter can be enabled to reduce false breakouts by comparing today’s opening range midpoint (ORM) to the previous session’s ORM. When bias is active, breakouts against the bias can require a stronger confirmation (break beyond the first target step).
Risk management is configurable via multiple stop options:
Stop at Opposite OR
Stop at OR Midpoint
Stop at 1× Target Step
Or disable stops for custom management
Includes support for:
Long/Short/Both modes
One trade per session option
Optional exit on opposite breakout
Separate alert conditions (when used with the companion indicator)
Note: This is a backtesting tool. Always validate results across symbols/timeframes and account for slippage/commissions before live use.
NQ bands 50/65.5/100this is a indicator that puts lines 50 points above and below price, 65.5 points above and below price and 100 points above and below price for the Nasdaq Futures.
NQ Price band 5065/100CME_MINI:NQ1! CME_MINI:MNQ1!
this is a indicator that puts lines 50 points above and below price, 65.5 points above and below price and 100 points above and below price for the Nasdaq Futures.
MR.Mix Market Context
MR.Mix هو نظام تحليل سياقي مبني على الجلسات، تم تطويره لدعم منهجية تداول خاصة تحمل نفس الاسم (MR.Mix).
لا يُعد هذا المؤشر دمجًا لمؤشرات مستقلة، بل إطارًا تحليليًا واحدًا يتم فيه تنسيق عدة مكوّنات داخلية للعمل معًا وفق منطق موحّد يعتمد على بنية الجلسات، سلوك السعر، واستجابة الزخم.
يعمل المؤشر كأداة تحليلية مساعدة للاستراتيجية، حيث يركّز على قراءة سياق السوق وتأكيد الحالات التي تعتمد عليها المنهجية، دون توليد إشارات تداول مباشرة أو وعود أداء.
الوظائف الرئيسية:
• تحديد افتتاح جلسة نيويورك ورسم مستويات مرجعية مشتقة من الجلسة
• تصور نطاق ما قبل الافتتاح مع تتبع القمم والقيعان بشكل تراكمي
• عرض هياكل RSI والفوليوم مدمجة داخل الشارت ومقاسة نسبةً إلى النطاق السعري الظاهر
• متوسط متحرك EMA مع خيارات تنعيم تكيفية ونطاقات تذبذب اختيارية
• جميع العناصر البصرية تُعرض بناءً على شروط سياقية وليست مرسومة بشكل ثابت
تمت حماية كود المؤشر لاعتماده على تنسيق داخلي خاص بين توقيت الجلسات، التحجيم التكيفي، ومنطق العرض الشرطي، وهو تصميم لا يمكن إعادة إنتاجه بدقة باستخدام مؤشرات Pine المفتوحة دون كشف البنية الداخلية.
شرح العناصر على الرسم البياني:
• الخطوط الأفقية تمثل مستويات مرجعية مشتقة من الجلسات
• الخطوط العمودية تشير إلى انتقالات الجلسات
• المناطق المظللة توضح نطاقات ما قبل الافتتاح
• صناديق RSI والفوليوم المدمجة تعكس الزخم والمشاركة ضمن النطاق السعري الظاهر فقط
────────────────────────────────
MR.Mix is a session-based market context system developed to support a proprietary trading methodology under the same name (MR.Mix).
This script is not a compilation of standalone indicators. It is a unified analytical framework where multiple internal components are coordinated to operate under a single logic focused on session structure, price behavior, and momentum response.
The indicator functions as a supportive analytical tool for the methodology by providing market context and condition confirmation, without generating direct trading signals or performance claims.
Key features:
• New York session open detection with session-derived reference levels
• Pre-market range visualization with cumulative high/low tracking
• Embedded RSI and Volume structures rendered directly on the price chart and scaled relative to the visible price range
• EMA with optional adaptive smoothing and volatility bands
• All visual elements are condition-driven and context-aware rather than continuously plotted
The script is protected because it relies on proprietary coordination between session timing, adaptive scaling, and conditional rendering logic that cannot be accurately replicated using standard open-source Pine indicators without exposing internal structure.
Chart elements:
• Horizontal lines represent session-derived reference prices
• Vertical lines mark session transitions
• Shaded areas define pre-market price boundaries
• Embedded RSI and Volume boxes reflect momentum and participation within the visible range only
Advance SMC (Milad Tayefi)Smart money indicator which recognizes market structure and produces buy/sell signals.
MR.MixMarket Context
MR.Mix هو نظام تحليل سياقي مبني على الجلسات، تم تطويره لدعم منهجية تداول خاصة تحمل نفس الاسم (MR.Mix).
لا يُعد هذا المؤشر دمجًا لمؤشرات مستقلة، بل إطارًا تحليليًا واحدًا يتم فيه تنسيق عدة مكوّنات داخلية للعمل معًا وفق منطق موحّد يعتمد على بنية الجلسات، سلوك السعر، واستجابة الزخم.
يعمل المؤشر كأداة تحليلية مساعدة للاستراتيجية، حيث يركّز على قراءة سياق السوق وتأكيد الحالات التي تعتمد عليها المنهجية، دون توليد إشارات تداول مباشرة أو وعود أداء.
الوظائف الرئيسية:
• تحديد افتتاح جلسة نيويورك ورسم مستويات مرجعية مشتقة من الجلسة
• تصور نطاق ما قبل الافتتاح مع تتبع القمم والقيعان بشكل تراكمي
• عرض هياكل RSI والفوليوم مدمجة داخل الشارت ومقاسة نسبةً إلى النطاق السعري الظاهر
• متوسط متحرك EMA مع خيارات تنعيم تكيفية ونطاقات تذبذب اختيارية
• جميع العناصر البصرية تُعرض بناءً على شروط سياقية وليست مرسومة بشكل ثابت
تمت حماية كود المؤشر لاعتماده على تنسيق داخلي خاص بين توقيت الجلسات، التحجيم التكيفي، ومنطق العرض الشرطي، وهو تصميم لا يمكن إعادة إنتاجه بدقة باستخدام مؤشرات Pine المفتوحة دون كشف البنية الداخلية.
شرح العناصر على الرسم البياني:
• الخطوط الأفقية تمثل مستويات مرجعية مشتقة من الجلسات
• الخطوط العمودية تشير إلى انتقالات الجلسات
• المناطق المظللة توضح نطاقات ما قبل الافتتاح
• صناديق RSI والفوليوم المدمجة تعكس الزخم والمشاركة ضمن النطاق السعري الظاهر فقط
────────────────────────────────
MR.Mix is a session-based market context system developed to support a proprietary trading methodology under the same name (MR.Mix).
This script is not a compilation of standalone indicators. It is a unified analytical framework where multiple internal components are coordinated to operate under a single logic focused on session structure, price behavior, and momentum response.
The indicator functions as a supportive analytical tool for the methodology by providing market context and condition confirmation, without generating direct trading signals or performance claims.
Key features:
• New York session open detection with session-derived reference levels
• Pre-market range visualization with cumulative high/low tracking
• Embedded RSI and Volume structures rendered directly on the price chart and scaled relative to the visible price range
• EMA with optional adaptive smoothing and volatility bands
• All visual elements are condition-driven and context-aware rather than continuously plotted
The script is protected because it relies on proprietary coordination between session timing, adaptive scaling, and conditional rendering logic that cannot be accurately replicated using standard open-source Pine indicators without exposing internal structure.
Chart elements:
• Horizontal lines represent session-derived reference prices
• Vertical lines mark session transitions
• Shaded areas define pre-market price boundaries
• Embedded RSI and Volume boxes reflect momentum and participation within the visible range only
ADX Volatility Waves [BOSWaves]ADX Volatility Waves - Trend-Weighted Volatility Mapping with State-Based Wave Transitions
Overview
ADX Volatility Waves is a regime-aware volatility framework designed to map statistically significant price extremes through adaptive wave structures driven by trend strength.
Rather than treating volatility as a static dispersion metric, this indicator conditions all volatility expansion, contraction, and zone placement on ADX-derived trend intensity. Price behavior is interpreted through wave-like transitions between balance, expansion, and exhaustion states rather than isolated band interactions.
The result is a dynamic, gradient-based wave system that visually encodes volatility cycles and regime shifts in real time, allowing traders to contextualize price movement within trend-weighted volatility waves.
Price is evaluated not by static thresholds, but by its position and progression within adaptive volatility waves shaped by directional strength.
Conceptual Framework
ADX Volatility Waves is built on the premise that volatility unfolds in waves, not straight lines.
Traditional volatility tools identify dispersion but fail to account for how volatility behaves differently across trend regimes. By embedding ADX directly into volatility construction, this indicator ensures that volatility waves expand during strong directional phases and compress during weak or transitioning regimes.
Three guiding principles define the framework:
Volatility must be conditioned on trend strength
Extremes occur within zones, not at lines
Signals should emerge from completed wave transitions, not instantaneous touches
This reframes analysis from reactive mean-reversion toward regime-aware wave interpretation.
Theoretical Foundation
The indicator fuses directional movement theory with statistical volatility modeling.
Bollinger-derived dispersion provides the structural base, while ADX normalization controls the amplitude of volatility waves. As ADX increases, volatility waves widen and deepen; as ADX weakens, waves compress and tighten around equilibrium.
From this foundation, extended upper and lower wave zones are constructed and smoothed to represent statistically significant expansion and contraction phases.
At its core are three interacting systems:
ADX-Controlled Volatility Engine : Standard deviation is dynamically scaled using normalized ADX values, producing trend-weighted volatility waves.
Wave Zone Construction : Smoothed volatility boundaries are offset and expanded to form upper and lower wave zones, defining overextension and compression regions.
State-Based Wave Transition Logic : Signals occur only after price completes a full wave cycle: expansion into an extreme wave zone followed by a confirmed return to equilibrium.
This structure ensures that signals reflect completed volatility waves, not transient noise.
How It Works
ADX Volatility Waves processes price action through layered wave mechanics:
Trend-Weighted Volatility Calculation : Volatility boundaries are dynamically adjusted using ADX influence, allowing wave amplitude to scale with trend strength.
Structural Smoothing : Volatility boundaries are smoothed to stabilize wave geometry and reduce short-term distortions.
Wave Offset & Expansion : Upper and lower wave zones are positioned beyond equilibrium and expanded proportionally to volatility range, forming clearly defined expansion waves.
Gradient Wave Depth Mapping : Each wave zone is subdivided into multiple gradient layers, visually encoding increasing extremity as price moves deeper into a wave.
Wave State Tracking & Cooldown Control : The system tracks prior wave occupancy, enforces neutral stabilization periods, and applies cooldowns to prevent overlapping wave signals.
Compression Detection : Volatility width monitoring identifies compression phases, highlighting conditions where new volatility waves are likely to form.
Together, these processes create a continuous, adaptive wave map of volatility behavior.
Interpretation
ADX Volatility Waves reframes market reading around volatility cycles:
Upper Volatility Waves (Red Gradient) : Represent upside expansion phases. Deeper wave penetration indicates increased overextension relative to trend-adjusted volatility.
Lower Volatility Waves (Green Gradient) : Represent downside expansion phases. Sustained presence signals pressure, while exits toward balance suggest wave completion.
Equilibrium Zone : The neutral region between volatility waves. Confirmed re-entry into this zone marks the completion of a wave cycle and forms the basis for BUY and SELL signals.
Regime Context via ADX : Strong ADX regimes widen waves, reducing premature reversal signals. Weak ADX regimes compress waves, increasing sensitivity to reversion.
Wave progression and completion matter more than single-bar interactions.
Signal Logic & Visual Cues
ADX Volatility Waves produces single-entry BUY and SELL labels as its visual cues, plotted only when price first enters a volatility wave zone after the defined cooldown period.
Buy Signal (Bottom Zone Entry) : A BUY label appears when price enters the lower volatility wave (oversold zone). This highlights potential expansion into undervalued extremes, providing visual context for trend assessment rather than a guaranteed execution trigger.
Sell Signal (Top Zone Entry) : A SELL label appears when price enters the upper volatility wave (overbought zone). This marks potential overextension into upper volatility extremes, serving as a contextual indicator of trend stress.
All labels respect cooldown tracking to prevent clustering. Alerts are tied directly to these zone-entry signals, and a separate alert monitors volatility squeezes for awareness of compression periods.
Strategy Integration
ADX Volatility Waves integrates cleanly into volatility-aware trading frameworks:
Wave Context Mapping : Use wave depth to assess expansion and exhaustion risk rather than forcing immediate entries.
Transition-Based Execution : Prioritize BUY and SELL signals formed after confirmed wave completion.
Trend-Regime Filtering : In strong ADX regimes, treat waves as continuation pressure. In weak regimes, favor completed wave reversions.
Volatility Cycle Awareness : Monitor compression phases to anticipate the emergence of new volatility waves.
Multi-Timeframe Alignment : Apply higher-timeframe ADX regimes to contextualize lower-timeframe wave behavior.
Technical Implementation Details
Core Engine : ADX-normalized volatility expansion
Wave System : Smoothed, offset, expanded volatility waves
Visualization : Multi-layer gradient wave zones
Signal Logic : State-based wave transitions with cooldown enforcement
Alerts : Wave entry, wave completion, volatility compression
Performance Profile : Lightweight, real-time optimized overlay
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Short-term volatility waves and intraday transitions
15 - 60 min : Structured intraday wave cycles
4H - Daily : Macro volatility regimes and expansion phases
Suggested Baseline Configuration:
BB Length : 20
BB StdDev : 1.5
ADX Length : 14
ADX Influence : 0.8
Wave Offset : 1.0
Wave Width : 1.0
Neutral Confirmation : 5 bars
These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance.
Performance Characteristics
High Effectiveness:
Markets exhibiting rhythmic volatility expansion and contraction
Assets with responsive ADX regime behavior
Reduced Effectiveness:
Erratic, news-driven price action
Illiquid markets with distorted volatility metrics
Integration Guidelines
Confluence : Combine with BOSWaves structure or trend tools
Discipline : Respect wave completion and cooldown logic
Risk Framing : Interpret wave depth probabilistically, not predictively
Regime Awareness : Always contextualize waves within ADX strength
Disclaimer
ADX Volatility Waves is a professional-grade volatility and regime-mapping tool. It does not predict price and does not guarantee profitability. Performance depends on market conditions, parameter calibration, and disciplined execution. BOSWaves recommends using this indicator as part of a comprehensive analytical framework incorporating trend, volatility, and structural context.
CoreHedge: Structure Channels + Pivot S/R (v6, Perfect Parallel)
Main Support and Resistance
- You Can adjust on any timeframe
PDH/PDL by ShreyanshThis TradingView indicator is a technical analysis tool designed to plot the Previous Day High (PDH) and Previous Day Low (PDL) levels with high accuracy. It is specifically engineered for traders who require market boundaries calculated based on the Indian Standard Time (IST) session, ensuring that day breaks are identified precisely at 12:00 AM IST regardless of the exchange's native timezone.
Daily & Pre-Market Key Levels (v5)Plots:
- Today's high/low
- Pre-market High/Low
- Yesterday's high/low/close
- Day before yesterday high/low
225 SMA CrossoverWell-known strategy from Zahlengraf from the Mauerstrassenwetten subreddit for you to test yourself.
You can change the length of the SMA and whether to trade long, short or both directions.
Varun's StrategyBuy and Sell strategy designed for a 1 minute chart to buy when RSI drops under 25 and sell when RSI exceeds 75
UK Public OnesideRSI + Stochastic V1 (Moderate) Strategy
This strategy combines RSI, Stochastic Oscillator, and a 50 EMA trend filter to identify moderate-risk trading opportunities in trending markets.
How it works:
Long entries occur when RSI and Stochastic are in oversold conditions while price is above the 50 EMA.
Short entries occur when RSI and Stochastic are in overbought conditions while price is below the 50 EMA.
Trades are confirmed on the previous candle, avoiding premature entries and exits.
Risk management is handled using fixed percentage stop-loss with configurable risk-to-reward targets.
Optional RSI-based exits close positions early during overbought or oversold conditions.
Key Features:
Trend-filtered entries using EMA 50
Non-repainting logic (confirmed candle signals)
Configurable stop-loss and reward ratio
Works well for scalping and intraday trading
Suitable for crypto, forex, and indices
Recommended Timeframes:
5m, 15m, 30m
Note:
This strategy is designed for educational and research purposes. Always forward-test and apply proper risk management before using in live trading.
FX Session High/Low Bands - Last 5 EST Days
FX Session High/Low Bands - Last 5 Days
Description:
This indicator plots horizontal bands representing the high and low price levels from the major forex trading sessions over the last 5 days. It helps traders identify key support and resistance zones based on recent session activity.
Features:
Multiple Session Tracking: Displays high/low levels for major FX sessions:
Asian Session (Tokyo)
European Session (London)
US Session (New York)
5-Day Lookback: Captures the highest high and lowest low from each session over the previous 5 trading days
Visual Bands: Clear horizontal lines or filled zones showing session boundaries
Dynamic Updates: Automatically recalculates as new session data becomes available
How to Use:
Support/Resistance: Previous session highs/lows often act as key price levels
Breakout Trading: Watch for price breaking above/below session bands
Range Trading: Trade within the bands during consolidation periods
Session Overlap: Pay attention to multiple session bands converging
Ideal For:
Forex day traders
Session-based trading strategies
Support/resistance identification
Multi-timeframe analysis






















