DR Volume POC (London AM + PM Sessions)DR volume POC rejection for entries. DR box shown. BOS and CHoCH
Penunjuk dan strategi
Arun R5.41🔻 Arun Gold 3H Power Indicator 🔻
Precision-Based Smart Sell System for Gold (XAU/USD)
💡 Overview
This indicator is specifically designed for Gold (XAU/USD) and delivers best results on the 3-Hour Timeframe (3H TF).
It is a Smart Money Logic-based Sell Confirmation System, combining institutional structure and candle behavior to generate highly accurate bearish signals.
⚙️ Technical Foundation
The indicator uses multiple advanced confirmations:
📉 EMA Trend Filter → Confirms downtrend
💪 RSI Overbought Rejection → Momentum reversal signal
📊 MACD Bearish Cross → Confirms trend strength
🕯️ Bearish Candle Structure → Price action validation
When all conditions align, a clear 🔻 Sell Signal is plotted on the chart.
💎 Hidden Feature
This indicator includes a hidden feature that activates only when the correct market structure forms.
It helps reduce false signals and increases accuracy without being visible on the chart — fully automated internal logic.
📆 Recommended Settings
Symbol: XAU/USD (Gold)
Timeframe: 3-Hour (3H)
Market: Forex / Commodity
Mode: Sell-Only Confirmation Indicator
Performance: Best precision and consistency on 3H TF
📈 How to Use
Select XAU/USD on chart and set 3H timeframe.
Add the indicator to the chart.
Wait for the 🔻 Sell Signal and confirm the market structure after candle close.
Take entry according to your risk management.
⚠️ Disclaimer
This indicator is for educational and analytical purposes only.
No system is 100% accurate — always backtest and demo trade before using in real trading.
💬 Credits
Developed by Ajay Sahu (India)
Based on Institutional & Smart Money Logic
Best results on 3H TF
Hidden Algorithm for XAU/USD traders
CISD + Fractals - Milana TradesThe CISD (Change in State of Delivery ) is a precision-engineered tool for identifying structural shifts within price action.
It algorithmically detects when price transitions from one swing direction to another — providing objective confirmation of market structure breaks that often precede trend reversals.
By mapping swing highs and lows, and visually marking breakpoints through CISD signals, this indicator enables traders to see the market’s internal structure in real time, without noise or subjective interpretation.
⚙️ Core Logic
The CISD algorithm uses a fractals-based structure recognition system to define market swings (high/low) and monitor for structural breaches.
Swing Identification
Using a configurable Pivot Strength parameter, the indicator detects significant local highs and lows based on price symmetry.
These pivots form the foundation of short-term and long-term structural reference points.
Execution Logic
Once a CISD is detected, the script dynamically projects a horizontal reference line at the validated structural level and plots a clear label (+CISD or –CISD) at the break location.
This provides an immediate, unobtrusive visualization of key structural events.
Visualization & Styling
The CISD interface is built for clarity and adaptability across all charting environments.
All stylistic parameters are fully customizable:
Pivot Strength – Sensitivity of swing identification
Fractal Visibility – Optional visualization of pivot origins
Bullish/Bearish Color Schemes – Independent line and text coloration
Line Style & Thickness – Adjustable for chart clarity
Label Size – Four-tier sizing (Tiny to Large) for multi-timeframe readability
Each CISD line maintains the context of structural order flow, allowing traders to visually differentiate active structure levels from historical breakpoints.
Alert System
The indicator integrates a fully functional alert module for automated market monitoring:
Any CISD – Alerts when any structural break occurs
Bullish CISD Formed – Alerts on bullish market structure shifts
Bearish CISD Formed – Alerts on bearish market structure shifts
These can be used for manual trade confirmation, smart alerts, or automated trading system triggers.
Robo scalp-Buy-1.0Profitable gold strategy.
use on 3 min time frame and default values for best results.
Multi-SupertrendThis indicator overlays up to 4 fully customizable SuperTrend calculations on your chart. It is styled to match TradingView’s official SuperTrend indicator, using yellow and blue bands for trend direction.
Set ATR Length and Factor for each line individually.
Get immediate Bullish, Bearish, or ALL alerts:
Bullish: Close above all SuperTrend lines.
Bearish: Close below all SuperTrend lines.
Each line includes individual trend-change alerts for precision entries/exits.
Designed for scalpers, intraday traders, or positional analysis.
No repainting; built with TradingView's built-in ta.supertrend() for reliability.
E.Invest ALT Buy/Sell ZonesE.Invest ALT Buy/Sell Zones — normalized buy/sell zones for altcoins (Average/High Volatility)Summary
This indicator builds normalized buy and sell zones for altcoins using ultra-long baselines on a fixed timeframe and calibrated percentage offsets. It helps you stage entries and exits with discipline and consistency across a wide range of altcoins, from majors to lesser-known assets, by normalizing calculations regardless of the chart’s timeframe.What makes it unique
Two volatility regimes for exits: Average Volatility and High Volatility. Switch between them depending on market phase: steady trends vs. euphoric/parabolic moves.
Timeframe normalization: all calculations run on a fixed 60-minute aggregate via request.security, so results are comparable across different charts and assets.
Ultra-long baselines: the core lines reflect higher-cycle structure of altcoin markets and avoid being driven by short-lived noise.
Asymmetric design: buy zones use fixed percentage discounts for disciplined DCA entries, while sell zones use expanded targets designed for altcoin-style rallies.
Non-repainting implementation: request.security is used with lookahead_off; labels are updated on the last bar only.
Consolidation: merges two legacy variants into one tool, simplifying updates and avoiding separate “minor variation” publications.
How it works (principles)
Baseline: an ultra-long moving average on fixed M60 is the reference for relative levels.
Buy Zones (Buy 1/2): set at fixed percentage discounts from the baseline to build staggered entries.
Sell Zones (Sell 1/2/3):
Average Volatility: targets for routine trend conditions and moderate volatility.
High Volatility: extended targets to capture outsized moves during euphoric phases.
Last-bar price labels: show current level values to speed up order placement.
How to use
Entries:
Buy 1: conservative accumulation at a discount to the “fair-value” baseline.
Buy 2: more aggressive adds during capitulative dips. Consider confirming with volume/structure filters.
Exits:
Use Average Volatility in steady or range-bound conditions for partial take-profits at Sell 1/2/3.
Use High Volatility during strong impulses to avoid exiting too early.
Laddering:
Split position size into 3–6 tranches and distribute across zones.
Refresh orders periodically; levels shift as the baseline updates.
Timeframes and assets:
Works on any chart timeframe; calculations are normalized on M60.
Prefer liquid pairs for cleaner adherence to levels.
Combinations:
Improve selectivity with HTF trend filters or volume confirmation. The indicator provides context; entry/exit triggers remain your system’s choice.
Settings
Indicator:
Show Sell Zones (average volatility)
Show Sell Zones (high volatility)
Labels — Buy:
Show label Buy 1
Show label Buy 2
Labels — Average Volatility:
Show label Sell 1/2/3
Labels — High Volatility:
Show label Sell 1/2/3
Labels are printed on the last bar for quick price-aware actions.
Why closed-source
The method relies on proprietary calibration of baseline windows and percentage offsets derived from altcoin cycle studies (moderate vs. impulsive phases). We keep the source protected to preserve the methodology, while describing the principles and usage so traders can understand how to apply it.Publishing notes (Chart)
Publish with a clean chart featuring only this indicator, unless your description explains required companions.
Use a neutral theme and keep labels on to make outputs unambiguous.
Important
This is not financial advice. No guarantees of performance.
Zones provide structure; confirmations and risk management are up to the trader.
On illiquid assets, slippage or overshoots can occur.
Future changes will be published using the Update feature.
E.Invest ALT Buy/Sell Zones — нормализованные зоны покупок/продаж для альткоинов (Average/High Volatility)
Кратко
Индикатор строит нормализованные зоны покупок и продаж для альткоинов на основе ультрадолгой базовой линии (baseline) на фиксированном таймфрейме и калиброванных процентных отклонений. Он помогает дисциплинированно расставлять лестницу заявок на вход/выход и одинаково применим к широкому спектру альткоинов — благодаря нормализации расчётов независимо от ТФ графика.Чем он уникален
Два режимa зон продаж: Average Volatility и High Volatility. Переключайтесь в зависимости от рыночной фазы: умеренные тренды или параболические импульсы.
Нормализация по времени: все расчёты ведутся на фиксированном M60 через request.security — уровни сопоставимы между инструментами и ТФ.
Ультрадолгие базовые линии: отражают структуру циклов альткоинов, а не кратковременный шум.
Асимметрия логики: покупки — фиксированные проценты скидки (удобно для DCA‑подхода), продажи — расширенные цели под «выносные» ралли.
Без перерисовки: request.security с lookahead_off; метки обновляются только на последнем баре.
Консолидация: объединяет две прежние вариации в один инструмент, исключая публикацию «мелких вариаций» и упрощая поддержку.
Как это работает (принципы)
Базовая линия (baseline): ультрадолгая скользящая на фиксированном M60 — опорный уровень для относительных расчётов.
Зоны покупок (Buy 1/2): фиксированные проценты скидки от baseline — для поэтапного набора.
Зоны продаж (Sell 1/2/3):
Average Volatility — цели для «обычных» трендов и умеренной волатильности.
High Volatility — дальние цели в фазах эйфории/импульсов.
Метки цен на последнем баре — для быстрого выставления лимит‑ордеров.
Как использовать
Входы:
Buy 1 — базовая зона для начала набора/докупки со скидкой к «справедливой» линии.
Buy 2 — агрессивное усреднение в кульминациях снижения; лучше подтверждать объёмом/структурой.
Выходы:
Average Volatility — частичная фиксация на Sell 1/2/3 в спокойных фазах/боковике.
High Volatility — используйте в импульсных фазах, чтобы не выйти слишком рано.
Лестница ордеров:
Делите объём на 3–6 частей и распределяйте по зонам.
Обновляйте заявки: уровни динамически следуют за baseline.
Таймфреймы и инструменты:
Работает на любом ТФ графика; расчёт нормализован на M60.
Предпочтительны ликвидные пары для корректной отработки уровней.
Комбинации:
Повышайте точность HTF‑фильтрами тренда и подтверждением объёмом. Индикатор задаёт контекст; триггеры — на ваше усмотрение.
Параметры
Индикатор:
Показать Sell Zones (average volatility)
Показать Sell Zones (high volatility)
Метки Buy:
Показывать метку Buy 1
Показывать метку Buy 2
Метки Average Volatility:
Показывать метку Sell 1/2/3
Метки High Volatility:
Показывать метку Sell 1/2/3
Метки выводятся на последнем баре.
Почему закрытый код
Используется проприетарная калибровка базовых периодов и процентных офсетов, сформированная по историческим циклам альткоинов (умеренные и импульсные фазы). Мы защищаем методику, но подробно описываем принципы и сценарии применения, чтобы трейдеры понимали, как использовать инструмент.Рекомендации по публикации (Chart)
Публикуйте с «чистым» графиком: оставьте только этот индикатор, если не требуется иначе.
Используйте нейтральную тему и включённые метки цен — так выводы индикатора читаются однозначно.
Важно
Не является инвестиционной рекомендацией; гарантии результата отсутствуют.
Зоны — это контекст; подтверждения и риск‑менеджмент остаются за трейдером.
На низколиквидных парах возможны проскальзывания и «перепробои» уровней.
Дальнейшие изменения будут публиковаться через Update.
Central Pivot Range - MANITCENTRAL PIVOT RANGE
Helps to identify multi time frame support resistance and bias
Central Pivot Range - MANITCentral Pivot Range
It shows the trend of all time frames can be used for support resistance and bias
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Adaptive Chikou Strategy - Level 1This strategy is based on the Ichimoku cloud system and the power of delaying the signal. I changed how the averages are calculated to better detect the range areas.
The strategy uses this concept to determine the market regime, whether the price is below or above its delayed signal, and acts accordingly:
Bull (green) – when the price is above the average of the highs, delayed, the strategy favors long entries.
Bear (red) – when the price is below the average of the lows delayed, the strategy favors short entries.
Range (brown) – when the percent rank is in between those 2 conditions, we detect range, and no trades are initiated.
The transition between these regimes depends mainly on 4 key parameters.
The first parameter controls the lookback period for the highest and lowest functions.
The second controls how much we delay the signal of these 2 functions.
The third adjusts how much range is detected in bull conditions; it changes the transition from bull to range conditions. The bigger it is, the less bull and the more range.
The fourth parameter is similar to the third, but for bear conditions. The bigger it is, the less bear and the more range conditions are detected.
The user can configure the strategy to run long-only, short-only, or both directions, depending on the market or preference. In addition to the core regime logic, the strategy includes several risk and trade management controls that are featured in all my strategies.
Four oscillators are also integrated into the logic to detect short-term overbought and oversold conditions. These help the strategy avoid entering or exiting a trade when the price has already extended too far in one direction, improving timing and potentially reducing false entries and exits. When overbought or oversold are detected, a red or green dot appears on the chart.
The script is designed to be flexible across different assets and timeframes. However, to achieve consistent results, it is important to optimize parameters carefully. A recommended workflow is as follows:
Disable the walk-forward option during the optimization phase.
Optimize the first main parameter while keeping others fixed.
Once a satisfactory value is found, move to the second parameter.
Continue the process for subsequent parameters.
Optionally, repeat the full sequence once more to refine the results.
Finally, activate walk-forward analysis and check the out-of-sample results.
This strategy is published as invite-only with hidden source code. Access may be granted upon request for research or evaluation purposes. It is part of a broader collection of technical analysis strategies I have developed, which focus on regime detection and adaptive trading systems.
There are five levels of strategy complexity and performance in my collection. This script represents a Level 1 strategy, designed as a solid foundation and introduction to the framework. More advanced levels progressively add greater complexity, adaptability, and robustness.
When multiple strategies are combined under this same framework, the results become more robust and stable. In particular, combining my suite of technical analysis strategies with my macro strategies and alternative data strategies, such as onchain for cryptocurrencies. It creates a multi-layered system that adapts across regimes, timeframes, and market conditions.
Structure Pro+ 2.4 Structure Pro+ 2.4
Summary
Structure Pro+ 2.4 is a comprehensive, all-in-one indicator designed for traders who utilize Smart Money Concepts (SMC). It automates the detection of key market structure events, identifies high-probability trade signals, and incorporates time-based filters to focus on the most volatile trading sessions, helping you make informed decisions with precision and clarity.
This suite goes beyond simple lines on a chart by integrating Market Structure, Fair Value Gaps (FVGs), and institutional trading sessions into a single, powerful tool.
Core Features
📈 Automatic Market Structure
Break of Structure (BOS) & Change of Character (CHoCH): The indicator automatically identifies and labels significant breaks in market structure, allowing you to instantly recognize trend continuations (BOS) or potential reversals (CHoCH).
Customizable Pivot Detection: Fine-tune the sensitivity of the structure detection by adjusting the Left Bars and Right Bars settings to match your trading style and timeframe, from scalping to swing trading.
🎯 High-Probability Breakout Signals
Receive clear BUY and SELL signals based on a powerful confluence of events. A signal only appears when:
A BOS or CHoCH is confirmed.
The breakout move is validated by the creation of a recent Fair Value Gap (FVG), indicating strong momentum.
The signal occurs within a valid, high-volatility time session.
The breakout is confirmed on a closed candle to prevent fakeouts.
🔍 Key Liquidity & Imbalance Zones
Fair Value Gaps (FVGs): Automatically detects and displays FVG (Imbalance) zones on your chart, highlighting key areas of interest where the price may return.
Order Blocks (OBs): Optionally display the last order block before a structural break. The length of the OB box can be customized to keep your chart clean.
🕒 Time-Based Session Filters (Killzones)
Timing is everything. Structure Pro+ 2.4 provides fully customizable time filters to ensure you are only trading in optimal market conditions.
ICT Macro Sessions: Enable and customize standard ICT Macro "Killzone" sessions, which are displayed visually on your chart.
NASDAQ Open Session: A dedicated, customizable session filter for the high-volatility NASDAQ open.
Timezone Synchronization: Set your preferred timezone (America/New_York by default) to align all sessions perfectly, no matter where you are in the world.
⚙️ Full Customization & Alerts
Visuals: Take complete control over the look and feel of the indicator, including colors, line styles, and label sizes.
Alert System: A comprehensive alert system allows you to get notified for every key event:
Signal (BUY/SELL)
BOS or CHoCH
BOS/CHoCH with FVG Confluence
Start of a Macro Session
How to Use
Identify the Trend: Use the automatically plotted BOS and CHoCH labels to determine the current market bias on your chosen timeframe. An uptrend is defined by a series of bullish BOS, while a downtrend is defined by bearish BOS. A CHoCH signals a potential shift in this bias.
Wait for a Signal in a Valid Session: Be patient and wait for a BUY or SELL signal to appear on your chart. Ensure the signal occurs within one of the active, visually-drawn time sessions (Macros or NASDAQ Open) for the highest probability.
Confirm and Manage Risk: Use the signal as a primary point of confluence in your trading plan. For best results, combine it with your own analysis. Always practice proper risk management by setting a stop loss, typically below the low of the swing that caused a BUY signal or above the high of the swing that caused a SELL signal.
Disclaimer: This indicator is a tool designed to assist in trade analysis and should not be considered as financial advice. Trading involves substantial risk, and past performance is not indicative of future results. Always conduct your own research and risk assessment before entering any trade.
Engulfing Pattern with Volume FilterProprietary indicator that analyzes price and volume to generate entries based on the dominant aggressiveness of buyers or sellers.
Buy - Sell indicatorKey Features:
🎯 Multi-Indicator Signal System
Parabolic SAR + CCI (Commodity Channel Index) combination
Bollinger Bands with customizable smoothing
DEMA (Double Exponential Moving Average) trend confirmation
WaveTrend Cross oscillator
📊 Smart Trend Detection
EMA-based trend filter (21/50 periods)
Strong trend tracking with consecutive rise counter
Dynamic trailing stop mechanism
Volume surge detection for momentum confirmation
📈 Advanced Entry/Exit Logic
Fibonacci-based decline ratio filter (prevents premature entries)
Second bottom confirmation for safer entries
Dynamic sell levels that adapt to strong trends
Automatic pivot high/low detection
💰 DCA (Dollar Cost Averaging) System
Automatic DCA level plotting on 9/3 signal combinations
Customizable buy levels (-0.6%, -0.94% default)
Customizable sell targets (+0.85%, +1.5% default)
Visual price lines extending 50 bars forward
⚙️ Customizable Filters
Minimum bar spacing between signals (default: 20)
Volume filter with adjustable multiplier
Toggle for trend filters and hidden signal display
Separate controls for EMA lines, ratio info, and trend info
📋 Comprehensive Info Table
Real-time indicator values
Current trend status
DCA trigger status
Rally/decline ratio tracking
Last buy/sell prices
Best Used For:
Swing trading on 4H-1D timeframes
Cryptocurrency and volatile assets
Catching reversals at Bollinger Band extremes
Managing positions with predefined DCA levels
Alerts Available:
Buy signal alerts
Sell signal alerts
DCA 9/3 combination alerts
Trading Sessions and Daily Opens by ModishThis Pine Script indicator overlays key forex trading sessions (Sydney, Tokyo, London, New York) on your chart using Kenyan time (EAT/UTC+3), with customizable translucent boxes, borders, and labels positioned neatly above each session for clear visualization. It also plots dotted vertical lines at daily opens (Monday-Friday) with abbreviated day labels for quick reference. Toggle sessions on/off, adjust colors, and ensure seamless integration with candlesticks for dynamic, real-time analysis. Ideal for session-based traders seeking precise timing and structure.
Rejection (Advanced Body+Alert) V6.5I little help to get alerts and visuals for possible rejection candles
Percent Rank Strategy - Level 1This strategy is based on the Percent Rank math, a statistical measure that evaluates how the current price compares to its historical prices over a specified lookback period.
In simple terms, Percent Rank tells you the percentile position of the current price within a recent window, for example, a value of 80% means the price is higher than 80% of the previous prices in that period, while 20% means it’s lower than 80% of them.
The strategy uses this concept to determine the market regime, whether price is high, low, or neutral relative to its recent range, and acts accordingly:
Bull (green) – when the price percent rank is usually above 50% the price is normally high, and the strategy favors long entries.
Bear (red) – when the price percent rank is usually below 50% the price is normally low, and the strategy favors short entries.
Range (brown) – when the percent rank is in between those 2 conditions, we detect range, and no trades are initiated.
The transition between these regimes depends mainly on 3 key parameters.
The first parameter controls the maximum lookback period for the percent rank array and so the maximum cycle length.
The second controls how much range is detected in bull conditions; it changes the transition from bull to range conditions. The bigger it is, the less bull and the more range.
The third parameter is similar to the second, but for bear conditions. The smaller it is, the less bear and the more range conditions are detected.
The user can configure the strategy to run long-only, short-only, or both directions, depending on the market or preference. In addition to the core regime logic, the strategy includes several risk and trade management controls that are featured in all my strategies.
Four oscillators are also integrated into the logic to detect short-term overbought and oversold conditions. These help the strategy avoid entering or exiting a trade when the price has already extended too far in one direction, improving timing and potentially reducing false entries and exits. When overbought or oversold are detected, a red or green dot appears on the chart.
The script is designed to be flexible across different assets and timeframes. However, to achieve consistent results, it is important to optimize parameters carefully. A recommended workflow is as follows:
Disable the walk-forward option during the optimization phase.
Optimize the first main parameter while keeping others fixed.
Once a satisfactory value is found, move to the second parameter.
Continue the process for subsequent parameters.
Optionally, repeat the full sequence once more to refine the results.
Finally, activate walk-forward analysis and check the out-of-sample results.
This strategy is published as invite-only with hidden source code. Access may be granted upon request for research or evaluation purposes. It is part of a broader collection of technical analysis strategies I have developed, which focus on regime detection and adaptive trading systems.
There are five levels of strategy complexity and performance in my collection. This script represents a Level 1 strategy, designed as a solid foundation and introduction to the framework. More advanced levels progressively add greater complexity, adaptability, and robustness.
When multiple strategies are combined under this same framework, the results become more robust and stable. In particular, combining my suite of technical analysis strategies with my macro strategies and alternative data strategies, such as onchain for cryptocurrencies. It creates a multi-layered system that adapts across regimes, timeframes, and market conditions.
Enhanced Trading Signals with Perfect Exits - By [Jai Mundada]🧠 Enhanced Trading Signals with Perfect Exits (ETSPE)
By Jai Mundada
🔍 Description
ETSPE (Enhanced Trading Signals with Perfect Exits) is a premium, high-precision indicator built to identify optimal entry and exit zones across all markets — including stocks, indices, forex, and crypto.
This system combines multi-timeframe confirmation, RSI-MACD-Stochastic confluence, volume dynamics, and price action logic to generate exceptionally reliable BUY/SELL signals with perfectly timed exits.
ETSPE is designed for professional traders and serious learners who want advanced clarity, strong risk control, and actionable visual signals — all in one clean chart.
⚙️ Core Features
✅ Multi-Layer Confluence System (RSI, MACD, Stochastic, EMA, SMA, Volume, Pattern)
✅ Smart Exit Algorithm (adaptive ATR-based stop loss & take profit)
✅ Automatic Support/Resistance Mapping
✅ Live Score Table for Bull/Bear Strength & Exit Readiness
✅ Risk Warning Display & Visual Alerts
✅ Fully Customizable Signal Frequency, Table Size, and Display Layout
✅ Works on all timeframes & instruments
🧭 Recommended Settings
Intraday: 5-min + 15-min combination
Swing / Positional: 1-hour + 1-day chart
Default Parameters: Suitable for most charts, but users can fine-tune “Minimum Score” & “ATR Multipliers” based on volatility.
Once subscribed, users will receive complete setup and usage guidance directly via email.
📈 How to Access
This indicator is Invite-Only.
To gain access or subscription, please send an email request to:
📩 jaimunadad72@gmail.com
Once approved, you’ll be added to the access list and receive full setup instructions and strategy guidance.
⚠️ Risk Disclaimer
Trading involves substantial risk and may not be suitable for all investors. Past performance does not guarantee future results.
Always perform your own research and use proper risk management.
This script is for educational purposes only.
© 2025 Jai Mundada. All Rights Reserved.
Gold Raider Pro [Plazo Sullivan Roche Capital]Core logic
During the London kill-zone, the script locks in the session high/low (LKZ).
After London ends, it looks for a liquidity sweep (price pokes beyond LKZ high/low) then a BOS (break of the first opposing swing) to confirm reversal.
Trades are only valid with higher-timeframe bias (D1 & H4 above/below EMA-50 in agreement).
Optional filters block weak signals: time gate (NY cutoff), ADR (skip if the day’s move is already stretched), and VWAP alignment (Midnight/Weekly/Monthly).
Output is a unified signal: BUY after low sweep + BOS in bull HTF, SELL after high sweep + BOS in bear HTF; labels + dashboard summarize state and reasons.
Best setup & usage
Chart & broker: XAUUSD on a high-liquidity feed (ICMarkets/FXPro/OANDA). Use 2m–5m for executions; confirm with 15m market structure.
Session: Set timezone to America/New_York. Default London kill-zone 02:30–04:30 NY; stop taking new signals after 11:00 NY (toggle in inputs).
HTF bias: Keep EMA length = 50 on D & H4 (default). Only toggle off bias if you’re deliberately testing counter-trend sweeps (not recommended live).
Structure/BOS: Use Swing Length = 3. Leave “Require BOS after the sweep” = ON for the cleanest signals; turn “Require close back inside LKZ” ON only if you want ultra-conservative entries.
VWAP filters: Keep Midnight VWAP = ON; add Weekly/Monthly only on trend days to avoid over-filtering range sessions.
ADR guardrail: Enable ADR filter once you go live; start with ADR Threshold = 0.9 and Lookback 14. This blocks chasing extended moves.
Execution playbook:
BUY: Wait for low sweep of LKZ → BOS up → dashboard shows BULL bias, Time/ADR OK, VWAP pass. Enter on the next pullback or at close; SL below BOS invalidation (or fixed 0.5–0.8× ADR14 of XAU).
SELL: Mirror logic after a high sweep in BEAR bias; SL above BOS invalidation.
TP: Scale at 1R, leave runner to 2–3R or to Midnight/Weekly VWAP touch; hard exit by NY lunchtime or on bias flip.
Risk: 0.25–0.5% per trade (XAU is spiky). One trade per direction per session; if ADR block triggers post-entry, manage to BE or flatten if structure weakens.
Alerts & dashboard: Turn on runtime alerts once parameters are set. Read the Last Signal / Filters row; only act when it shows your direction and “L:OK / S:OK” for your side.
Validation & tuning: Forward-test 3–4 weeks. If over-filtered, relax VWAP Weekly/Monthly first; if too chatty, enforce close-back-inside and keep NY cutoff tight.
Don’ts: Don’t trade during major news spikes, don’t counter the D1/H4 agreement, and don’t enter before BOS—sweeps without structure confirmation are bait.
MILLION MEN - Peaks & Dips MeterWhat it is
The MILLION MEN — Peaks & Dips Meter is a dynamic momentum visualization tool designed to identify extreme strength and exhaustion zones. It uses two selectable engines:
RSI Meter (ZS Core) for classic strength analysis.
OB/OS Multi-Length (ZS Quick Core) for adaptive readings that reflect multi-period sentiment shifts.
How it works
The script computes normalized momentum values (0–100) from price dynamics, builds a smooth gradient representation, and displays it as a fixed right-bottom table. The meter color scales between fuchsia and green, with optional candle coloring and percentage labels.
It can also highlight overbought (peaks) and oversold (dips) moments directly on candles with adjustable ATR offsets and label styles.
How to use
Values near 90–100% → potential short-term exhaustion (watch for reversals).
Values near 0–10% → potential accumulation zones (possible bounces).
Use together with structure, volume, or trend filters for confirmation.
Originality
Unlike standard RSI tools, this script merges multi-length OB/OS detection with a real-time visual meter, optimized for scalpers and visual traders. It does not repaint and maintains a lightweight structure for fast responsiveness.
Limitations
This indicator is for analysis purposes only and should not be considered financial advice. Past readings do not guarantee future performance.
Correlation Cycle Strategy - Level 1This strategy is based on John Ehlers idea of the correlation cycle, and that markets often oscillate. They move up and down in cycles, though not perfectly sinusoidal, they can be approximated by a sinusoidal wave. This script measures the strength of the correlation between price and a range of ideal sine wave components of different periods. By doing this, we estimate which cycle length the market is most currently following and from that, we find the phase to learn in which part of the cycle we are in.
Bull (green) – when price is at the bottom of the sinusoidal going to the top (positive phases), the strategy favors long entries.
Bear (red) – when price is at the top of the sinusoidal going down to the bottom (negative phases), the strategy favors short entries.
Range (brown) – when the phase is in the transition zones we detect range conditions and no trades are initiated.
The transition between these regimes depends mainly on 3 key parameters.
The first parameter controls the maximum lookback period for correlation detection and so the maximum cycle length.
The second controls how much range is detected in bull conditions, it changes the transition from bull to range conditions. The bigger it is, the less bull and the more range.
The third parameter is similar to the second, but for bear conditions. The bigger it is, the less bear and the more range conditions are detected
The user can configure the strategy to run long-only, short-only, or both directions, depending on the market or preference. In addition to the core regime logic, the strategy includes several risk and trade management controls that are featured in all my strategies.
Four oscillators are also integrated into the logic to detect short-term overbought and oversold conditions. These help the strategy avoid entering or exiting a trade when price has already extended too far in one direction, improving timing and potentially reducing false entries and exits. When overbought or oversold are detected, a red or green dot appears on the chart.
The script is designed to be flexible across different assets and timeframes. However, to achieve consistent results, it is important to optimize parameters carefully. A recommended workflow is as follows:
Disable the walk-forward option during the optimization phase.
Optimize the first main parameter while keeping others fixed.
Once a satisfactory value is found, move to the second parameter.
Continue the process for subsequent parameters.
Optionally, repeat the full sequence once more to refine the results.
Finally, activate walk-forward analysis and check the out-of-sample results.
This strategy is published as invite-only with hidden source code. Access may be granted upon request for research or evaluation purposes. It is part of a broader collection of technical analysis strategies I have developed, which focus on regime detection and adaptive trading systems.
There are five levels of strategy complexity and performance in my collection. This script represents a Level 1 strategy, designed as a solid foundation and introduction to the framework. More advanced levels progressively add greater complexity, adaptability, and robustness.
When multiple strategies are combined under this same framework, the results become more robust and stable. In particular, combining my suite of technical analysis strategies with my macro strategies and alternative data strategies, such as onchain for cryptocurrencies. It creates a multi-layered system that adapts across regimes, timeframes, and market conditions.
EDGAR 1-Hour Overview (E1H)EDGAR 1-Hour Overview (E1H)
This indicator is designed for precision sniper entries by using 1-hour institutional reference levels to guide trades executed on the 1-minute timeframe.
It combines three core systems in one:
📊 1-Hour Base Overview — detects key institutional zones where price is likely to react or reject.
⚡ EMA Trend Filter (2 & 8) — confirms directional bias for intraday scalping and momentum trading.
🐋 Whale Detector — identifies sudden volatility spikes and large orders (institutional buying or selling) using adaptive standard-deviation filters.
With the E1H Overview, you no longer need to guess where the market will bounce or reverse — it highlights real-time zones where big players (whales) are entering positions, allowing you to synchronize your 1-minute sniper entries with institutional movement.
