Pharma vs Market Monthly Returns (XLV vs SPY)A Bloomberg-style pharma momentum indicator built for TradingView.
This script recreates the “Pharma Index Monthly Returns” chart highlighted by Jordi Visser in his Youtube video — offering a clean, accessible poor man’s Bloomberg version of sector-rotation analysis for users without institutional data feeds.
Features
• XLV monthly returns (absolute mode)
• XLV vs SPY relative monthly returns (market-neutral mode)
• Top 5 strongest months ★ (momentum spikes)
• Top 5 weakest months ★ (capitulation signals)
• Optional 6-month rolling momentum line (regime trend)
• Full history from 1998 (XLV inception)
Use Cases
Ideal for tracking pharma/healthcare sector regimes, macro rotations, biotech cycles, and timing asymmetric entries in innovation themes (AI-pharma, computational drug discovery, biotech moonshots, etc.).
Educational
The Quantum Leap: Renko + ML(Note: This indicator uses the BackQuant & SuperTrend which takes a 4-5 seconds to load)
This strategy uses the following indicators (please see source code)
Synthetic Renko: Ignores time and focuses purely on price movement to detect clear trend reversals (Red-to-Green).
ATR (Average True Range): Measures volatility to calculate the Renko brick sizes and SuperTrend sensitivity.
Adaptive SuperTrend: A trend filter that uses volatility clustering to confirm if the market is currently in a "Bearish" state.
RSI (Relative Strength Index): A momentum gauge ensuring the asset is "Oversold" (exhausted) before we consider a setup.
Monthly Pivots: Horizontal support lines based on last month's data acting as price "floors" (S1, S2, S3).
SMA (Simple Moving Average): A 100-bar average ensuring we are strictly buying below the long-term mean (deep value).
BackQuant (KNN): A Machine Learning engine that compares current data to historical patterns to predict immediate momentum.
This is a sophisticated, multi-stage strategy script. It combines "Old School" price action (Renko) with "New School" Machine Learning (KNN and Clustering).
Here is the high-level summary of how we will break this down:
Topic 1: The "Bottom Hunter" Setup. How the script uses Renko bricks and aggressive filtering (SuperTrend, SMA, RSI, Pivots) to find a potential market bottom.
Topic 2: The ML Engine (BackQuant & SuperTrend). How the script uses K-Nearest Neighbors (KNN) to predict momentum and Volatility Clustering to adjust the SuperTrend.
Topic 3: The "Leap" Execution. How the script synchronizes the Setup (Topic 1) with the ML Trigger (Topic 2) using a time window.
Topic 1: The "Bottom Hunter" Setup
This script is designed as a Mean Reversion strategy (often called "catching a falling knife" or "bottom fishing"). It is trying to find the exact moment a downtrend stops and reverses.
Most strategies buy when price is above the 200 SMA or above the SuperTrend. This script does the exact opposite.
The Logic:
Renko Bricks: It simulates Renko bricks internally (without changing your chart view). It waits for a specific pattern: A Red Brick followed immediately by a Green Brick (a reversal).
The "Bearish" Filters: To generate a "WATCH" signal, the following must be true:
Price < SuperTrend: The market must officially be in a downtrend.
Price < SMA: Long-term trend is down.
Price < Monthly Pivot: Price is deeply discounted.
RSI < Threshold: The asset is oversold (exhausted).
Recommended Settings for daily signals for Stocks :
Confirmation : 10. (How many bars after Renko Buy signal the AI has to identify a bullish move).
Percentage : 2 (This is the Renko bar size. This represents 2% move.)
SMA: 100 (Signal must be found below 100 SMA)
Price must be below: PIVOT (This is the monthly Pivot levels)
Donchian 20/10 Screener + Alerts Donchian 20/10 Screener + Alerts identifies stocks breaking their 20-day high.
Includes ADX trend filter to confirm strong momentum.
Plots Donchian high/low lines and marks BUY/SELL signals on chart.
Screener output shows “PASS” for stocks meeting entry criteria.
Supports alerts for entry, exit, and screener signals for easy monitoring.
Monthly DCA & Last 10 YearsThis Pine Script indicator simulates a Monthly Dollar Cost Averaging (DCA) strategy to help long-term investors visualize historical performance. Instead of complex timing, the script automatically executes a hypothetical fixed-dollar purchase (e.g., $100) on the first trading day of every month. It visually marks entry points with green "B" labels and plots a dynamic yellow line representing your Global Break-Even Price, allowing you to instantly see if the current price is above or below your average cost basis. To provide deep insight, it generates a detailed performance table in the bottom-right corner that breaks down metrics year-by-year—including total capital invested, shares/coins accumulated, and Profit/Loss percentage—along with a grand total summary of the entire investment period.
ART Customizable Overbought Oversold indicatorThis toolkit will help you identify RSI levels on either extremes, you can customize them.
White Crow**White Crow — cluster reversal signals + market structure**
> Indicator that helps you read market structure (pivots, trend, last extremes) and spot potential reversals through CCI/RSI signal clusters. This is *not* a standalone trading system and does not guarantee any result — it is a tool for filtering and confirming your own market ideas.
---
## 1. Concept
White Crow combines three core blocks:
1. **Pivots & market structure**
Automatically detects **local tops/bottoms** and derives a *Bullish / Bearish / Sideways* bias from them.
In the top-right corner you see a compact panel with current trend and **Last Bottom / Last Top** prices.
2. **Momentum & overbought/oversold zones**
Inside, the indicator uses:
* **CCI** with fixed levels `+100 / -100`;
* an optional **RSI filter** with overbought/oversold levels (`80 / 20`).
These generate basic *Buy / Close* signals.
3. **Cluster signals Buy X / CloseV**
The script tracks **clusters of signals inside a 4-bar window** and highlights rarer, “amplified” events:
* **Buy X** — cluster buy signal (multiple buy conditions in a row);
* **CloseV** — cluster signal for exit/reversal.
**Buy X and CloseV are the strongest and most reliable signals in this indicator** because they are based on repeated conditions rather than a single bar. They work **best on higher timeframes (1H–4H)**, where they reflect meaningful shifts in order flow instead of noise.
> ⚠️ Important: Buy X and CloseV are *only signals*. They must be used as **one of several confirmation factors** for your own view of market structure (support/resistance, trend, price action, volume, etc.), not as standalone reasons to enter or exit trades.
---
## 2. How it works
### 2.1. Pivots and trend detection
* The indicator builds a **zigzag-like structure**:
after a local high, once price retraces down by a given percentage (`pivotSigma`), a **Top** is marked;
after a local low, once price retraces up by the same percentage, a **Bottom** is marked.
* Using the sequence of recent tops and bottoms, the script determines the trend:
* *Bullish* — the last low is higher than the previous one (HL);
* *Bearish* — the last high is lower than the previous one (LH);
* otherwise — *Sideways*.
* The info table shows:
* **Market Trend** — Bullish / Bearish / Sideways;
* **Last Bottom / Last Top** with adaptive decimal precision (works for crypto, FX, stocks, etc.).
### 2.2. Base Buy / Close signals
* **Long condition (Buy):**
* `CCI < -100` (oversold),
* if RSI filter is enabled — `RSI < 20`.
* **Short/Exit condition (Close):**
* `CCI > +100` (overbought),
* if RSI filter is enabled — `RSI > 80`.
These conditions generate the regular **Buy** and **Close** labels on the chart.
### 2.3. Clusters: Buy X and CloseV
To reduce noise, the indicator evaluates not only the current bar, but also the **last 4 bars**:
* `buy_count` — how many times the long condition was true within the last 4 bars;
* `sell_count` — how many times the short condition was true within the last 4 bars.
Then:
* **Buy X** appears when:
* `buy_count ≥ 2` (conditions for Buy were met on at least 2 of the last 4 bars),
* the time filter between two Buy X signals is satisfied (`Min Bars Between Signals`).
* **CloseV** appears when:
* `sell_count ≥ 2`,
* the required number of bars has passed since the previous CloseV.
> ✅ This is why **Buy X / CloseV are stronger and more trustworthy than single Buy/Close signals**, especially on **1H–4H** timeframes: the market confirms the same overbought/oversold condition several times in a row.
### 2.4. Order Blocks
* When `Show Order Blocks` is enabled, the indicator highlights **impulsive candles** whose body exceeds a threshold based on ATR.
* Colored rectangles mark **potential order blocks** (areas where strong buying or selling previously occurred).
## 3. Inputs and customization
Inputs are grouped in TradingView-friendly categories.
### 3.1. Pivot Settings
* `Show Pivots` — enable/disable **Top / Bottom** markers.
* `Sigma (% retracement)` — pivot sensitivity (minimum retracement in % required to confirm a pivot).
* Colors for Top/Bottom — for visual tuning.
**Tip:**
On H1–H4 you can keep near-default values.
On lower timeframes, reduce `Sigma` if you want more detailed local structure.
### 3.2. CCI / RSI Settings
* `CCI Period` — CCI length (short by default for faster reaction).
* `Enable RSI Filter` / `RSI Period` — toggle and length for RSI filter.
* RSI levels are fixed at **20 / 80** to mark strong oversold/overbought zones.
**Usage:**
* For more conservative entries — keep the RSI filter enabled.
* For more frequent signals (e.g. scalping) — you can disable the RSI filter.
### 3.3. Order Blocks
* `Show Order Blocks` — display order block zones.
* `Block Threshold (ATR multiplier)` — how large a candle must be (vs ATR) to be considered significant.
### 3.4. Signals & Filters
* `Show Buy / Show Buy X / Show Close / Show CloseV` — choose which labels you want to see.
* `Enable Time Filter` — enable minimum spacing between amplified signals.
* `Min Bars Between Signals` — how many bars must pass between two Buy X or two CloseV signals.
**Tip:**
If you see too many amplified signals, increase `Min Bars Between Signals`.
If you want more activity, decrease it.
### 3.5. Alerts
* `Buy Alerts / Buy X Alerts / Close Alerts / CloseV Alerts` — choose which signal types should trigger alerts.
* `One Alert Per Bar` — when enabled, alerts are triggered only once per bar (recommended for H1–H4).
Alerts are generated via `alert()`, with messages that include signal type, ticker, timeframe and current price.
---
## 4. How to trade with White Crow
### 4.1. Recommended timeframes
* 📌 **Main focus: 1H–4H.**
On these timeframes:
* pivots and trend are more stable;
* CCI/RSI reflect meaningful swings;
* **Buy X / CloseV clusters** filter out a lot of intrabar noise.
You can still experiment on M1–M15, but expect more signals and more sensitivity to noise.
### 4.2. Reading the signals step by step
1. **Start with context**
* Look at **Market Trend / Last Bottom / Last Top** in the info panel.
* See where price is relative to these points: near resistance, near support, inside a range, etc.
2. **Identify zones of interest**
* Use pivots and order blocks as potential support/resistance areas.
* Wait for price to approach these zones.
3. **Watch the signals**
* **Buy** — early sign of local oversold conditions.
* **Buy X** — amplified cluster signal; more weight than a single Buy.
* **Close** — early warning of potential exhaustion in the current move.
* **CloseV** — amplified cluster exit/reversal signal.
4. **Practical approach**
* In a *Bullish* trend:
* focus on **Buy / Buy X** near bottoms and demand blocks;
* use **Close / CloseV** for partial profit-taking or tightening stops.
* In a *Bearish* trend:
* focus on **Close / CloseV** near tops and supply blocks;
* use **Buy / Buy X** mainly for countertrend scalps with strict risk control.
---
## 5. Important notes and disclaimer
1. **Buy X / CloseV are stronger — but not “magic” signals.**
They are statistically more meaningful than single Buy/Close signals because:
* they require multiple confirmations within a cluster;
* they are time-filtered.
However, **false signals are still possible**, especially in news spikes and low-liquidity conditions.
2. **Best performance on higher timeframes (1H–4H).**
Here, Buy X and CloseV usually reflect genuine shifts in supply/demand rather than micro noise.
3. **This is a confirmation tool, not a complete system.**
Pro Trading White Crow:
* does not manage risk;
* does not define position size or stop-loss;
* does not replace your own analysis.
Always use its signals as **one of several confluence factors** together with structure, trend, price action, volume, and your trading plan.
4. **Educational purpose only.**
This script and description are for educational and analytical purposes only.
They **do not constitute investment advice or a guarantee of profit**.
You are fully responsible for all trading decisions and risk management.
---
---
## White Crow — кластерные сигналы разворота + структура рынка
> Индикатор помогает читать рыночную структуру (пивоты, тренд, последние экстремумы) и находить потенциальные развороты через кластеры сигналов CCI/RSI. Это *не* готовая торговая система и *не* гарантия результата — а инструмент для фильтрации и подтверждения ваших собственных идей по рынку.
---
## 1. Концепция
White Crow объединяет три ключевых блока:
1. **Пивоты и структура рынка**
Автоматически находит **локальные вершины и впадины** и на их основе формирует трендовое смещение: *Bullish / Bearish / Sideways*.
В правом верхнем углу — компактная панель с текущим трендом и ценами **Last Bottom / Last Top**.
2. **Моментум и зоны перегрева**
Внутри используются:
* **CCI** с фиксированными уровнями `+100 / -100`;
* опциональный **фильтр RSI** с уровнями перепроданности/перекупленности (`20 / 80`).
По ним строятся базовые сигналы *Buy / Close*.
3. **Кластерные сигналы Buy X / CloseV**
Скрипт отслеживает **кластеры сигналов внутри окна в 4 бара** и выделяет более редкие, «усиленные» события:
* **Buy X** — кластерный сигнал покупки (несколько buy-условий подряд);
* **CloseV** — кластерный сигнал выхода/разворота.
Именно **Buy X и CloseV являются наиболее сильными и достоверными сигналами индикатора**, так как возникают при повторяющемся выполнении условий, а не на одном баре. Лучше всего они работают **на старших таймфреймах (1–4 часа)**, где отражают реальное смещение баланса спроса/предложения, а не рыночный шум.
> ⚠️ Важно: Buy X и CloseV — *это всего лишь сигналы*. Они должны использоваться **как один из факторов подтверждения** вашего видения структуры рынка (уровни, тренд, price action, объём и т.д.), а не как единственная причина для входа или выхода.
---
## 2. Как это работает
### 2.1. Пивоты и определение тренда
* Индикатор строит **структуру в стиле зигзага**:
после локального максимума, когда цена откатывает вниз на заданный процент (`pivotSigma`), отмечается **Top**;
после локального минимума, когда цена откатывает вверх на тот же процент, отмечается **Bottom**.
* По последовательности последних вершин и впадин определяется тренд:
* *Bullish* — последний минимум выше предыдущего (HL);
* *Bearish* — последний максимум ниже предыдущего (LH);
* иначе — *Sideways*.
* В информационной таблице отображаются:
* **Market Trend** — Bullish / Bearish / Sideways;
* **Last Bottom / Last Top** с адаптивным количеством знаков (подходит под крипту, форекс, акции и т.д.).
### 2.2. Базовые сигналы Buy / Close
* **Условие для Buy (лонг):**
* `CCI < -100` (зона перепроданности),
* при включённом фильтре — `RSI < 20`.
* **Условие для Close (шорт/выход):**
* `CCI > +100` (зона перекупленности),
* при включённом фильтре — `RSI > 80`.
По этим условиям индикатор рисует обычные метки **Buy** и **Close**.
### 2.3. Кластеры: Buy X и CloseV
Чтобы отсеять лишний шум, индикатор оценивает не только текущий бар, но и **4 последних бара**:
* `buy_count` — сколько раз условие на покупку выполнялось за последние 4 бара;
* `sell_count` — сколько раз условие на продажу/выход выполнялось за последние 4 бара.
Далее:
* **Buy X** появляется, когда:
* `buy_count ≥ 2` (минимум на 2 из 4 баров были условия для покупки),
* соблюдён фильтр по времени между усиленными сигналами (`Min Bars Between Signals`).
* **CloseV** появляется, когда:
* `sell_count ≥ 2`,
* прошло достаточно баров с момента предыдущего CloseV.
> ✅ Поэтому **Buy X и CloseV заметно сильнее и надёжнее одиночных Buy/Close**, особенно на **таймфреймах 1–4 часа**: рынок несколько раз подряд подтверждает один и тот же перегрев/разрядку момента.
### 2.4. Order Blocks
* При включённом `Show Order Blocks` индикатор выделяет **импульсные свечи**, чьё тело больше заданного множителя ATR.
* По таким свечам строятся цветные прямоугольники — **потенциальные блоки ордеров** (области поддержек/сопротивлений, где ранее проходил крупный объём).
---
## 3. Настройки и кастомизация
Настройки сгруппированы в привычные разделы TradingView.
### 3.1. Pivot Settings
* `Show Pivots` — включить/выключить метки **Top / Bottom**.
* `Sigma (% retracement)` — чувствительность к пивотам (минимальная глубина отката в процентах).
* Цвета Top/Bottom — визуальная настройка.
**Совет:**
На H1–H4 можно оставить значения близкие к стандартным.
На младших ТФ уменьшайте `Sigma`, если нужна более детальная структура.
### 3.2. CCI / RSI Settings
* `CCI Period` — период CCI (по умолчанию короткий, для более быстрой реакции).
* `Enable RSI Filter` / `RSI Period` — включение и длина RSI-фильтра.
* Уровни RSI фиксированы: **20 / 80**, выделяя сильную перепроданность/перекупленность.
**Использование:**
* Для более консервативной торговли — держите фильтр RSI включённым.
* Для более частых сигналов (скальпинг и т.п.) — можно фильтр отключить.
### 3.3. Order Blocks
* `Show Order Blocks` — отображение блоков ордеров.
* `Block Threshold (ATR multiplier)` — насколько большой должна быть свеча относительно ATR, чтобы считаться значимой.
### 3.4. Signals & Filters
* `Show Buy / Show Buy X / Show Close / Show CloseV` — выбор типов отображаемых меток.
* `Enable Time Filter` — включение минимального интервала между усиленными сигналами.
* `Min Bars Between Signals` — сколько баров должно пройти между двумя Buy X или двумя CloseV.
**Совет:**
Если усиленных сигналов слишком много — увеличьте `Min Bars Between Signals`.
Если хотите больше активности — уменьшите это значение.
### 3.5. Alerts
* `Buy Alerts / Buy X Alerts / Close Alerts / CloseV Alerts` — выбор типов сигналов для алертов.
* `One Alert Per Bar` — при включении алерты отправляются один раз на бар (рекомендуется для H1–H4).
Алерты формируются через `alert()` с сообщением, включающим тип сигнала, тикер, таймфрейм и текущую цену.
---
## 4. Как использовать White Crow в торговле
### 4.1. Рекомендуемые таймфреймы
* 📌 **Основной фокус: 1–4 часа.**
На этих ТФ:
* структура по пивотам и тренд более стабильны;
* CCI/RSI отражают существенные ценовые колебания;
* кластеры **Buy X / CloseV** лучше отсеивают шум.
На M1–M15 индикатор тоже можно применять, но нужно быть готовым к большему количеству сигналов и чувствительности к микродвижениям.
### 4.2. Пошаговое чтение сигналов
1. **Начните с контекста**
* Посмотрите на **Market Trend / Last Bottom / Last Top** в панели.
* Определите, где находитесь относительно этих уровней: у сопротивления, у поддержки, внутри диапазона и т.п.
2. **Найдите зоны интереса**
* Используйте пивоты и order blocks как потенциальные области спроса/предложения.
* Ждите подхода цены к этим зонам.
3. **Отслеживайте сигналы**
* **Buy** — ранний признак локальной перепроданности.
* **Buy X** — усиленный кластерный сигнал, более значимый, чем одиночный Buy.
* **Close** — ранний сигнал возможного ослабления текущего движения.
* **CloseV** — усиленный кластерный сигнал выхода/разворота.
4. **Практическое применение**
* В *бычьем* тренде:
* фокус на **Buy / Buy X** возле впадин и зон спроса;
* **Close / CloseV** использовать для частичной фиксации и подтягивания стопа.
* В *медвежьем* тренде:
* фокус на **Close / CloseV** возле вершин и зон предложения;
* **Buy / Buy X** — для аккуратных контртрендовых входов с жестким риском.
---
## 5. Важные замечания и дисклеймер
1. **Buy X / CloseV сильнее, но не «волшебные» сигналы.**
Они статистически более значимы, чем одиночные Buy/Close, потому что:
* требуют нескольких подтверждений в кластере;
* фильтруются по времени.
Однако **ложные срабатывания всё равно возможны**, особенно на новостях и в условиях низкой ликвидности.
2. **Оптимальная область применения — старшие ТФ (1–4 часа).**
Здесь Buy X и CloseV обычно отражают реальное изменение баланса спроса/предложения, а не шум.
3. **Это инструмент подтверждения, а не полноценная система.**
Pro Trading White Crow:
* не управляет рисками;
* не считает размер позиции и уровень стоп-лосса;
* не заменяет ваше собственное видение рынка.
Всегда используйте его сигналы **как один из факторов согласованности** вместе со структурой, трендом, price action, объёмом и персональным торговым планом.
4. **Образовательный характер.**
Скрипт и описание предназначены для обучения и анализа графиков.
Они **не являются инвестиционной рекомендацией и не гарантируют прибыль**.
Вы самостоятельно принимаете все торговые решения и несёте полную ответственность за риск.
---
Robrechtian Long-Medium Breakout Trend SystemRobrechtian Long–Medium-Term Breakout Trend System
A professional, rule-based trend-following strategy designed to capture large, sustained price movements using pure price action and breakouts.
This system follows long-established trend-following philosophy: no prediction, no volatility targeting, and no profit targets. Only disciplined entries, position additions, and exits driven entirely by trend structure.
Core Principles
Breakout-driven entries: Initial positions are taken only when price breaks above/below the 80-day Donchian channel, confirming a long–medium-term trend shift.
Short-term confirmation: Breakouts must also exceed the 20-day channel, reducing false positives.
Trend-direction filter: A 50-day moving average slope filter ensures alignment with the broader trend.
Explosive bar filter: Entries avoid excessively large, single-candle expansions (>2.5× ATR(20)) to prevent chasing exhaustion spikes.
Pyramiding into strength: Additional units are added only when price makes fresh 20-day breakouts in the direction of the trend. No scaling out. No adding on dips.
Exit only on trend violation: Positions are closed exclusively when price breaks the opposite 80-day channel. This preserves unlimited upside while enforcing disciplined exits.
Pure trend philosophy: No volatility targeting, no smoothing, no discretionary overrides, no optimization for short-term performance.
Intended Use
This system is designed primarily for diversified futures portfolios, where diversification across dozens of globally liquid markets creates robustness and stability. However, it may also be used on individual assets for educational and analytical purposes.
The system embraces the core trend-following logic:
Small losses, big winners, and unlimited upside when trends persist.
⚠️ WARNINGS / DISCLAIMERS
⚠️ Warning 1 — This strategy is not optimized for single stocks
The Robrechtian Trend System is designed for multi-asset futures portfolios, not single equities.
Performance on individual tickers may vary greatly due to lack of diversification.
⚠️ Warning 2 — Trend following includes substantial drawdowns
Deep drawdowns are a normal and expected feature of all long-term trend-following systems.
The strategy does not attempt to smooth returns or manage volatility.
If you seek steady, low-volatility equity curves, this system is not suitable.
⚠️ Warning 3 — No volatility targeting or risk smoothing
This system intentionally avoids volatility-based position sizing.
Trades may experience larger fluctuations than systems using risk parity or vol targeting.
⚠️ Warning 4 — Not financial advice
This script is for educational and research purposes only.
Past performance does not guarantee future results.
Use at your own risk.
⚠️ Warning 5 — TradingView backtests have known limitations
TradingView does not simulate:
futures contract roll logic
slippage
real bid/ask spreads
liquidity conditions
limit-up/limit-down behavior
Results may vary from live market execution.
SMC Fib Range Signals [@gyanapravah]SMC Fib Range Signals
This indicator blends Smart Money Concepts (SMC) with a Range Filter Trend System and Fibonacci Retracement & Extensions to generate high-probability automated Buy/Sell signals.
Designed to avoid noise and focus on market structure + trend + price confluence, this tool is ideal for:
1. Intraday traders
2. Swing traders
3. Index & stock traders
4. Crypto & Forex traders
CORE FEATURES
Range Filter Trend Detection
Smooth adaptive filter identifies true trend direction
Visual confirmation:
🟢 Green filter = bullish pressure
🔴 Red filter = bearish pressure
🟡 Yellow filter = neutral
Upper & Lower Bands act as dynamic support/resistance zones
Smart Money Order Blocks (SMC)
Automatically detects important pivot highs & lows
Marks:
OB High → supply / resistance zone
OB Low → demand / support zone
Continuously tracks latest OB levels for live price interaction
Fibonacci Engine
Detects the current swing zone and plots:
Retracement levels
0.236 – 0.382 – 0.500 – 0.618 – 0.786 (editable)
Extension targets
1.272 – 1.618
All levels update dynamically on new market structure and pivots.
SIGNAL ENGINE
This indicator generates signals from three independent confirmation systems:
BUY SIGNALS trigger when:
1. Trend flips bullish (price crosses above the Filter)
2.Bullish trend + price reacts near:
Order Block support
Fibonacci 0.382 / 0.618 levels
Bounce from the Lower Band with trend support
All setups require volume confirmation to filter fake breakouts.
SELL SIGNALS trigger when:
1. Trend flips bearish (price crosses below the Filter)
2. Bearish trend + price reacts near:
Order Block resistance
Fibonacci 0.382 / 0.618 levels
Rejection from the Upper Band with trend support
ALERTS READY
Two built-in alerts:
BUY Alert — fires on bullish signal
SELL Alert — fires on bearish signal
INPUT SETTINGS
Trend Engine
1.Source
2.Sampling Period
3.Range Multiplier
Smart Money
Pivot detection sensitivity (Left / Right bars)
Fibonacci
1.Swing lookback length
2.Editable Fib retracement and extension values
3.Toggle show/hide Fib levels
BEST USE CASE
Works extremely well on:
⏱️ 3M – 15M Intraday scalping
⏱️ 30M – 1H positional entries
⏱️ 4H – D1 swing trading
Tested on:
NIFTY / BANKNIFTY / FINNIFTY
Stocks
Crypto
Forex
DISCLAIMER
This indicator is for educational purposes only.
It does NOT guarantee profits.
Always use:
Proper risk management
Stop-loss rules
Your own confirmation before entering trades.
AUTHOR
Built & shared by @gyanapravah (Odisha, India)
Open-source for learning and community improvement.
World Markets Table
🌍 World Markets Session Table - Track Global Exchanges in Real-Time
Monitor 10 major stock exchanges worldwide with live market status, countdown timers, and customizable themes. Perfect for multi-market traders, global portfolio managers, and anyone trading across time zones.
✨ Key Features
10 Global Exchanges Tracked:
🇺🇸 NYSE & NASDAQ (New York)
🇨🇳 Shanghai Stock Exchange
🇯🇵 Tokyo Stock Exchange
🇭🇰 Hong Kong Stock Exchange
🇬🇧 London Stock Exchange
🇪🇺 Euronext
🇩🇪 Frankfurt (Xetra)
🇨🇦 Toronto Stock Exchange
🇦🇺 Australian Securities Exchange
Real-Time Market Intelligence:
✅ Live OPEN/CLOSED status with colored indicators
⏱️ Countdown timers to market open/close
🗓️ Automatic weekday/weekend detection
🕒 Optional seconds display for precision timing
🎯 Visual status badges (green for open, red for closed)
Full Customization:
📍 6 table positions (top/bottom × left/center/right)
📏 4 size options (tiny, small, normal, large)
🎨 4 professional themes: Dark, Light, Neon, Ocean
🚩 Toggle country flags on/off
💼 Clean, professional table layout
🎨 Professional Themes
Dark Theme: Sleek charcoal design for night trading
Light Theme: Bright, clean interface for daylight charts
Neon Theme: Vibrant cyberpunk aesthetic with electric colors
Ocean Theme: Calming blue palette for focused analysis
💡 Perfect For
Multi-market traders monitoring global sessions simultaneously
Identifying optimal trading windows across time zones
Planning entries/exits around market opens and closes
Portfolio managers tracking international markets
Forex, indices, and commodities traders
Pre-market and after-hours trading planning
⚙️ How It Works
All market times are calculated in UTC and automatically adjust to your local timezone. The indicator overlays your chart without interfering with price action or technical analysis. Simply add it to any chart, customize the appearance, and stay informed about global market hours.
📊 Usage Tips
Place the table in a non-intrusive position to maintain chart clarity
Use countdown timers to prepare for volatility at market open/close
Match the theme to your chart colors for a cohesive workspace
Enable seconds display when precision timing matters most
Note: This is a display-only indicator showing market hours. It does not generate trading signals or plot price data.
Bassi MACD Pro + ADX Filter + Smart Histogram TP + RSIA professional-grade MACD indicator that dramatically reduces false signals by combining four powerful filters:
Key Features
Classic MACD (12,26,9) with clean, high-visibility histogram coloring
ADX + DI filter – only takes trades when ADX > user-defined threshold (default 25) ensuring you trade only in strong trending markets
Smart Histogram Take-Profit logic – automatically detects the exact moment bullish/bearish momentum starts to weaken after a strong move and marks a precise TP level (one TP per trade – no repainting, no multiple signals)
Zero-line crossover confirmation + histogram direction filter – eliminates many whipsaw signals common in regular MACD
Separate RSI pane with overbought/oversold levels and visual markers (for additional confluence – does not interfere with main logic)
Visual Signals
Green “MACD BUY” label + lime triangle = confirmed long entry in strong trend
Red “MACD SELL” label + red triangle = confirmed short entry in strong trend
Small lime/red “TP” triangles = Smart Histogram Take-Profit triggered (perfect exit timing based on momentum fade)
Alert Conditions Included
MACD BUY
MACD SELL
TP Long Hit
TP Short Hit
Combined “Any Signal” alert
Why this version outperforms standard MACD
Most MACD crossovers fail in ranging markets. This script solves that by:
Requiring strong trend (ADX filter)
Confirming histogram is actually growing in the new direction
Waiting for the true zero-line cross with momentum
Giving you an intelligent, non-fixed % take-profit based on real histogram exhaustion
Excellent for swing trading, day trading, crypto, forex, and stocks on any timeframe (works especially well on 1H–4H–Daily).
Clean, fast, no repainting, fully alert-ready.
Add to chart → set your alerts → trade only the highest-probability MACD signals.
Previous 5 Days OHLC + Dates + PricesTitle: Previous 5 Days OHLC Levels (Extended Lines + Labels)
Description:
This indicator automatically plots the Open, High, Low, and Close (OHLC) levels for the previous 5 trading days. Unlike standard daily separators, this tool extends the lines from their historical origin all the way to the current price bar, allowing traders to instantly see how current price action interacts with recent support and resistance levels.
Key Features:
5-Day Lookback: Automatically fetches and plots OHLC data for the last 5 trading sessions.
Extended Lines: Lines extend to the current bar (Right) to visualize immediate Support/Resistance zones.
Smart Labels: Each line is marked with the Day Name, Date, Type (O/H/L/C), and the Exact Price.
Customizable Positioning: Choose to display labels on the Left (start of the day) or the Right (next to current price) to keep your chart clean.
Toggle Visibility: Individually turn on/off Opens, Closes, Highs, or Lows to focus on the data that matters to your strategy.
How to Use:
Trend Analysis: Use previous Highs and Lows to identify potential breakout or breakdown levels.
Range Trading: Identify where price previously opened or closed to find intraday pivots.
Clean Charting: Use the settings to hide labels or specific lines (e.g., hide Opens/Closes to see only the Daily Range).
Settings:
Label Position: Switch between "Left" (historical origin) and "Right" (current price).
Visibility: Checkboxes to show/hide Open, High, Low, Close, and Text Labels.
Style: Fully customizable colors for each level type.
Technical Note: This script is optimized for performance (Pine Script v6). It uses array management and executes drawing logic only on the last bar to minimize resource usage while maintaining real-time accuracy.
SuperTrend Fusion — Trend + Momentum + Volatility FilterSuperTrend Fusion — Trend + Momentum + Volatility Filter
SuperTrend Fusion — ATP is an original, multi-factor trend-filtering tool that enhances the classic SuperTrend by combining three market dimensions in one unified model:
1. Trend direction (SuperTrend)
Provides the base trend structure using ATR-based volatility bands.
2. Momentum confirmation (Average Force – adapted)
An adapted version of an open-source “Average Force” concept published on TradingView by racer8.
This component measures where closing price sits relative to recent highs/lows, smoothed to capture directional pressure.
3. Market condition filtering (Choppiness Index)
Filters out sideways, non-trending zones where SuperTrend alone typically produces false flips.
Together, these components create a cleaner, more selective system that focuses on higher-quality SuperTrend reversals, avoiding the most common whipsaws that occur during low-momentum or high-choppiness periods.
🔍 How it Works
A long signal occurs when:
- SuperTrend flips from downtrend to uptrend
- Momentum (AF) is positive (optional filter)
- The market is trending and not excessively choppy (optional filter)
A short signal triggers under the symmetrical conditions.
Filtered signals are visually marked with subtle “X” markers so traders can understand when a raw SuperTrend flip was rejected by the filters.
The indicator also includes:
Enhanced styling for better visibility
Colored bars during valid signals
Optional background highlight during choppy periods
🎯 What This Indicator Is Designed For
This tool aims to:
- Improve the quality of SuperTrend entries
- Remove many low-probability signals
- Help traders visually identify when the market has the momentum and structure required for cleaner trend continuation
It is not intended to predict markets or guarantee accuracy; rather, it provides structure and clarity for decision-making based on technical rules.
⚙️ Inputs
- ATR Length & Factor (SuperTrend)
- Average Force Period & Smoothing
- Choppiness Length & Threshold
- Option to enable/disable each filter individually
📘 Credits
This script includes an adapted version of an open-source “Average Force” function originally published on TradingView by its author, racer8.
SuperTrend and Choppiness Index components are derived from classical, public-domain formulas.
📌 Important Notes
This indicator is not a strategy and does not guarantee performance.
Signals are based on historical calculations only and do not use lookahead.
Past performance does not guarantee future results.
Always test different assets and timeframes before using in live conditions.
👍 Recommended Usage
For a clean experience:
- Use on standard candlestick charts
- Avoid non-standard chart types (Renko, Heikin Ashi, Kagi, Range)
- Combine with your own risk management and trade planning
New York Midnight Day Separator by JPThis is an updated script with setting added for transparency, line type etc., thanks to the original publisher of this code.
Stock Reference DataIndicator that paints a table with reference data such as Earnings Date, Avg Volume, ATR, ATR% etc.
RSI Analytic Volume Matrix [RAVM] Overview
RSI Analytic Volume Matrix is an overlay indicator that turns classic RSI into a multi-layered market-reading engine. Instead of treating RSI 30 and 70 as simple buy/sell lines, RAVM combines RSI geometry (angle and acceleration), statistical volume analysis, and a 5×5 VSA-inspired matrix to describe what is really happening inside each candle.
The script is designed as an educational and analytical tool. It does not generate trading signals. Instead, it helps you read the market context, understand where the pressure is coming from (buyers vs. sellers), and see how price, momentum, and volume interact in real time.
Concept & Philosophy
RAVM is built around a hierarchical logic and a few core ideas:
• Hierarchical State Machine: First, RSI defines a context (where we are in the 0–100 range). Then the geometric engine evaluates the angle-of-turn of RSI using a Z-Score. Only after a meaningful geometric event is detected does the system promote a bar to a potential setup (warning vs. confirmed).
• Geometric Primacy: The angle and acceleration of RSI (RSI geometry) are more important than the raw RSI level itself. RAVM uses a geometric veto: if the geometric trigger is not confirmed, the confidence score is capped below 50%, even if volume looks interesting.
• RSI Beyond 30 and 70: Being above 70 or below 30 is not treated as an automatic overbought/oversold signal. RAVM treats those zones as contextual factors that contribute only a partial portion of the final score, alongside geometry, total volume expansion, buy/sell balance, and delta power.
• Volume Decomposition: Volume is decomposed into total, buy-side, sell-side, and delta components. Each of these is normalized with a Z-Score over a shared statistical window, so RSI geometry and volume live in the same statistical context.
• Educational Scoring Pipeline: RAVM builds a 0–100 "Quantum Score" for each detected setup. The score expresses how strong the story is across four dimensions: geometry (RSI angle-of-turn), total volume expansion, which side is driving that volume (buyers vs. sellers), and the power of delta. The score is designed for learning and weighting, not for mechanical trade entries.
• VSA Matrix Engine: A 5×5 matrix combines momentum states and volume dynamics. Each cell corresponds to an interpreted VSA-style scenario (Absorption, Distribution, No Demand, Stopping Volume, Strong Reversal, etc.), shown both as text and as a heatmap dashboard on the chart.
How RAVM Works
1. RSI Context & Geometry
RAVM starts with a classic RSI, but it does not stop at simple level checks. It computes the velocity and acceleration of RSI and normalizes them via a Z-Score to produce an Angle-of-Turn metric (Z-AoT). This Z-AoT is then mapped into a 0–1 intensity value called MSI (Momentum Shift Intensity).
The script monitors both classic RSI zones (around 30 and 70) and geometric triggers. Entering the lower or upper zone is treated as a contextual event only. A setup becomes "confirmed" when a significant geometric turn is detected (based on Z-AoT thresholds). Otherwise, the bar is at most a warning.
2. Volume & Statistical Engine
The volume engine can work in two modes: a geometric approximation (based on candle structure) or a more precise intrabar mode using up/down volume requests. In both cases, RAVM builds a volume packet consisting of:
• Total volume
• Buy-side volume
• Sell-side volume
• Delta (buy – sell)
Each of these series is normalized using a Z-Score over the same statistical window that is used for RSI geometry. This allows RAVM to answer questions such as: Is total volume exceptional on this bar? Is the expansion mostly coming from buyers or from sellers? Is delta unusually strong or weak compared to recent history?
3. Scoring System (Quantum Score)
For each bar where a setup is active, RAVM computes a 0–100 score intended as an educational confidence measure. The scoring pipeline follows this sequence:
A. RSI Geometry (MSI): Measures the strength of the RSI angle-of-turn via Z-AoT. This has geometric primacy over simple level checks.
B. RSI Zone Context: Being below 30 or above 70 contributes only a partial bonus to the score, reflecting the idea that these zones are context, not automatic signals. Mildly supportive zones (e.g., RSI below 50 for bullish contexts) can also contribute with lower weight.
C. Total Volume Expansion: A normalized Volume Power term expresses how exceptional the total volume is relative to its recent distribution. If there is no meaningful volume expansion, the score remains modest even if RSI geometry looks interesting.
D. Which Side Is Driving the Volume: RAVM then checks whether the expansion is primarily on the buy side or the sell side, using Z-Score statistics for buy and sell volume separately. This stage does not yet rely on delta as a power metric; it simply answers the question: "Is this expansion mostly driven by buyers, sellers, or both?"
E. Delta as Final Power: Only at the final stage does the script bring in delta and its Z-Score as a measure of how one-sided the pressure really is. A strong negative delta during a bullish context, for example, can highlight absorption, while a strong positive delta against a bearish context can highlight distribution or a buying climax.
If a setup is not geometrically confirmed (for example, a simple entry into RSI 30/70 without a strong geometric turn), RAVM caps the final score below 50%. This "Geometric Veto" enforces the idea that RSI geometry must confirm before a scenario can be considered high-confidence.
4. Overlay UI & Smart Labels
RAVM is an overlay indicator: all information is drawn directly on the price chart, not in a separate pane. When a setup is active, a smart label is attached to the bar, together with a vertical connector line. Each label shows:
• Direction of the setup (bullish or bearish)
• Trigger type (classic OS/OB vs. geometric/hidden)
• Status (warning vs. confirmed)
• Quantum Score as a percentage
Confirmed setups use stronger colors and solid connectors, while warnings use softer colors and dotted connectors. The script also manages label placement to avoid overlap, keeping the chart clean and readable.
In addition to labels, a dashboard table is drawn on the chart. It displays the currently active matrix scenario, the dominant bias, a short textual interpretation, the full 5×5 heatmap, and summary metrics such as RSI, MSI, and Volume Power.
RSI Is Not Just 30 and 70
One of the central design decisions in RAVM is to treat RSI 30 and 70 as context, not as fixed buy/sell buttons. Many traders mechanically assume that RSI below 30 means "buy" and RSI above 70 means "sell". RAVM explicitly rejects this simplification.
Instead, the script asks a series of deeper questions: How sharp is the angle-of-turn of RSI right now? Is total volume expanding or contracting? Is that expansion dominated by buyers or sellers? Is delta confirming the move, or is there a hidden absorption or distribution taking place?
In the scoring logic, being in a lower or upper RSI zone contributes only part of the final score. Geometry, volume expansion, the buy/sell split, and delta power all have to align before a high-confidence scenario emerges. This makes RAVM much closer to a structured market-reading tool than a classic overbought/oversold indicator.
Matrix User Manual – Reading the 5×5 Grid
The heart of RAVM is its 5×5 matrix, where the vertical axis represents momentum states (M1–M5) and the horizontal axis represents volume dynamics (V1–V5). Each cell in this grid corresponds to a VSA-style scenario. The dashboard highlights the currently active cell and prints a textual description so you can read the story at a glance.
1. Confirmation Scenarios
These scenarios occur when momentum direction and volume expansion are aligned:
• Bullish Confirmation / Strong Reversal: Momentum is shifting strongly upward (often from a depressed RSI context), and expanded volume is driven mainly by buyers. Often seen as a strong bullish reversal or continuation signal from a VSA perspective.
• Bearish Confirmation / Strong Drop: Momentum is turning decisively downward, and expanded volume is driven mainly by sellers. This maps to strong bearish continuation or sharp reversal patterns.
2. Absorption & Stopping Volume
• Absorption: Total volume expands, but the dominant flow is opposite to the recent price move or the geometric bias. For example, heavy selling volume while the geometric context is bullish. This can indicate smart money quietly absorbing orders from the crowd.
• Stopping Volume: Exceptionally high volume appears near the end of an extended move, while momentum begins to decelerate. Price may still print new extremes, but the effort vs. result relationship signals potential exhaustion and the possibility of a turn.
3. Distribution & Buying Climax
• Distribution: Heavy buying volume appears within a bearish or topping context. Rather than healthy accumulation, this often represents larger players offloading inventory to late buyers. The matrix will typically flag this as a bearish-leaning scenario despite strong upside prints.
• Buying Climax: A surge of buy-side volume near the end of a strong uptrend, with momentum starting to weaken. From a VSA point of view, this is often the last push where retail aggressively buys what smart money is selling.
4. No Demand & No Supply
• No Demand: Price attempts to rise but does so on low, non-expansive volume. The market is not interested in following the move, and the lack of participation often precedes weakness or sideways action.
• No Supply: Price tries to push lower on thin volume. Selling pressure is limited, and the lack of supply can precede stabilization or recovery if buyers step back in.
5. Trend Exhaustion
• Uptrend Exhaustion: Momentum remains nominally bullish, but the quality of volume deteriorates (e.g., more effort, less net result). The matrix marks this as an uptrend losing internal strength, often after a series of aggressive moves.
• Downtrend Exhaustion: Similar logic in the opposite direction: strong prior downtrend, but increasingly inefficient downside progress relative to the volume invested. This can precede accumulation or a relief rally.
6. Effort vs. Result Scenarios
• Bullish Effort, Little Result: Buyers invest notable volume, but price progress is limited. This may reveal hidden selling into strength or a lack of follow-through from the broader market.
• Bearish Effort, Little Result: Sellers push volume, but price does not decline proportionally. This can indicate absorption of selling pressure and potential underlying demand.
7. Neutral, Churn & Thin Markets
• Neutral / Thin Market: Momentum and volume both remain muted. RAVM marks these as neutral cells where aggressive decision-making is usually less attractive and observing the broader structure is more important.
• High Volume Churn / Volatility: Both sides are active with high volume but limited directional progress. This can correspond to battle zones, local ranges, or high volatility rotations where the main message is conflict rather than clear trend.
Inputs & Options
RAVM includes several input groups to adapt the tool to your preferences:
• Localization: Multiple language options for all labels and dashboard text (e.g., English, Farsi, Turkish, Russian).
• RSI Core Settings: RSI length, source, and upper/lower contextual zones (typically around 30 and 70).
• Geometric Engine: Z-AoT sigma thresholds, confirmation ratios, and normalization window multiplier. These control how sensitive the script is to RSI angle-of-turn events.
• Volume Engine: Choice between geometric approximation and intrabar up/down volume, Z-Score thresholds for volume expansion, and related parameters.
• Visual Interface: Toggles for smart labels, dashboard table, font sizes, dashboard position, and color themes for bullish, bearish, and warning states.
Disclaimer
RSI Analytic Volume Matrix is provided for educational and research purposes only. It does not constitute financial advice and is not a signal generator. Any trading decisions you make based on this tool, or any other, are entirely your own responsibility. Always consider your own risk management rules and conduct your own analysis.
Hash Pivot DetectorHash Pivot Detector
Professional Support & Resistance Detection with Multi-Timeframe Zone Analysis
Developed by Hash Capital Research, the Hash Pivot Detector is a sophisticated indicator designed for identifying key support and resistance levels using pivot-based detection with institutional-grade zone analysis.
Key Features
Zone-Based Detection
Unlike traditional single-line S/R indicators, Hash Pivot Detector uses configurable zones around pivot levels to represent realistic institutional order areas. Adjustable zone width accommodates different asset volatilities.
Multi-Timeframe Analysis
Displays higher timeframe support/resistance levels alongside current timeframe pivots, providing crucial context for institutional positioning and stronger price barriers.
Clean Visual Design
Features Hash Capital's signature fluorescent color scheme (pink resistance, cyan support) optimized for dark charts with high contrast and instant visual recognition. Semi-transparent zones keep your chart clean and readable.
How It Works
The indicator uses pivot high/low detection with configurable left and right bar parameters. When a pivot is confirmed, it plots:
Primary support/resistance lines at pivot levels
Semi-transparent zones representing realistic order areas
Higher timeframe S/R levels as crosses for additional context
Recommended Settings
For Swing Trading:
Pivot Bars: 10-20 left/right
Zone Width: 0.5-1.0%
HTF: Daily (on 1H-4H charts)
For Intraday Trading:
Pivot Bars: 5-10 left/right
Zone Width: 0.3-0.5%
HTF: 1H or 4H (on 5min-15min charts)
Asset-Specific Zone Width:
Forex/Crypto: 0.3-0.5%
Stocks: 0.5-1.0%
Volatile Assets: 1.0-2.0%
What Makes It Different
✓ Zone-based approach (more realistic than lines)
✓ Multi-timeframe confluence detection
✓ Minimal visual clutter with maximum information
✓ Professional institutional aesthetic
✓ Comprehensive tooltips for easy optimization
✓ No repainting - all pivots are confirmed
Best Used For
Identifying high-probability entry/exit zones
Setting stop-loss and take-profit levels
Recognizing breakout/breakdown areas
Multi-timeframe confluence analysis
Swing trading and position trading
Intraday scalping with adjusted parameters
Notes
Works on all timeframes and markets
Fully customizable colors and parameters
All settings include detailed optimization guidance
Clean code, efficient performance
No alerts or notifications (visual analysis only)
ZScore SemiConductoresZ-Score of Semiconductor Sector Volume
This custom Pine Script indicator applies a Z-Score calculation to the aggregated trading volume of leading semiconductor companies. The goal is to highlight statistical extremes in sector activity that may signal unusual market behavior.
🔧 How it works
- Fixed ticker list: NVDA, AVGO, TSM, AMD, ASML, MU, ARM, ON, TXN, QCOM, INTC.
- Aggregate volume: The script sums the trading volume of all tickers in the list for the selected timeframe.
- Z-Score calculation:
- Moving average and standard deviation are computed over a configurable window (default = 50 bars).
- Formula:
Z= (Current Volume - Mean) / Standard Deviation
Visualization:
- Z-Score plotted in green.
- Reference lines at 0, ±1σ, ±2σ.
- Labels (triangles) mark critical signals when Z > +2 or Z < -2.
📈 Why it matters
- Detects abnormal surges or drops in sector-wide volume.
- Highlights potential euphoria (+2σ) or panic (-2σ) moments.
- Useful as a filter for trading strategies or as a sector-level alert system.
⚠️ Disclaimer: This script is for educational purposes only and not financial advice
TF7 Option vs Index Change RatioOverview
This indicator helps traders visualise the strength and direction of an option's price movement compared to its underlying index (NIFTY or SENSEX).
It calculates a Change Ratio, which is the percentage move in the option compared to the index movement during the same bar. This is especially useful for intraday traders looking for signs of momentum, divergence, or unusual strength/weakness in option pricing.
How It Works
The ratio is calculated as:
(Option LTP − Option Open) / (Index Close − Index Open)
The value is capped between −10 and +10 to filter out extreme or invalid spikes.
The ratio is displayed as a color-coded column chart:
🟩 Green bars: Option is moving in the same direction as the index.
🟥 Red bars: Option is underperforming or moving opposite to the index.
A compact table shows the last 5 bars of:
Option price change (with +/− sign)
Index price change
Calculated ratio (also color-coded)
You can toggle the table visibility in the settings.
Inputs & Features
Select underlying index: NIFTY or SENSEX
Toggle the data table display
Clean formatting with signed values and conditional color highlights
⚠️ Disclaimer
This is a visual analysis tool, not a buy/sell signal. Always validate with your trading strategy and risk management
#OptionsTrading, #NIFTY, #SENSEX, #ChangeRatio, #IndexAnalysis, #Momentum, #Divergence, #Intraday
FUSED 9.5 INSTITUTIONAL [FINAL] - AgTradezInstitutional style Indicator that gives you trend direction, MSS, with Tp levels and much more.
Vdubus Divergence Wave Pattern Generator V1The Vdubus Divergence Wave Theory
10 years in the making & now finally thanks to AI I have attempted to put my Trading strategy & logic into a visual representation of how I analyse and project market using Core price action & MacD. Enjoy :)
A Proprietary Structural & Momentum Confluence SystemPart 1: The Strategic Concept1. The Core Philosophy: "Geometry + Physics"Traditional technical analysis often fails because traders confuse location with timing.Geometry (Price Patterns): Tells us WHERE the market is likely to reverse (e.g., at a resistance level or harmonic D-point).Physics (Momentum): Tells us WHEN the energy driving the trend has actually shifted. The Vdubus Theory posits that a trade should never be taken based on Geometry alone. A valid signal requires a specific, fractal decay in momentum—a "Handshake" between price structure and energy exhaustion.2. The 3-Wave Momentum Filter (The Engine)Most traders look for simple divergence (2 points). The Vdubus Theory demands a 3-Wave Structure to confirm the true state of the market.A. The Standard Reversal (Exhaustion)This is the "Safe" entry, catching the slow death of a trend.Wave 1 $\rightarrow$ 2 (The Warning): Price pushes higher, but momentum is lower (Standard Divergence). This signals that the trend is tapping the brakes.Wave 2 $\rightarrow$ 3 (The Confirmation): Price pushes to a final extreme (often a stop-hunt), but momentum is flat or lower than Wave 2 ("No Divergence").The Logic: This confirms that the buyers have expended all remaining energy. The engine is dead.
B. The Climax Reversal (The Trap)This is the "Aggressive" entry, catching V-shape reversals.Wave 1 $\rightarrow$ 2 (The Bait): Price pushes higher, and momentum is Stronger/Higher (No Divergence). This sucks in retail traders who believe the trend is accelerating.Wave 2 $\rightarrow$ 3 (The Snap): Price pushes again, but momentum suddenly collapses (Divergence).The Logic: A "Strong to Weak" shift. The market traps traders with a show of strength before hitting a "concrete wall" of limit orders.C. The Predator (The Trend Continuation)The Logic: Trends rarely move in straight lines. The "Predator" looks for Hidden Divergence during a pullback.The Signal: Price makes a Higher Low (Trend Structure Intact), but Momentum makes a Lower Low (Oversold Trap). This signals the end of the correction and the resumption of the main trend.3. The "Clean Path" PrincipleA trade is only valid if there is no opposing force. If you are looking to Sell (Bearish Reversal), the opposing Bullish momentum must be weak or neutral. If the "Enemy" is strong, the trade is skipped.
Part 2: The Indicator Breakdown
Tool Name: Vdubus Divergence Wave Pattern Generator V1
This script automates your analysis by combining ZigZag Pattern Recognition (Geometry) with your Custom MACD Logic (Physics).
1. The "Golden" Settings
The physics engine is tuned to your specific discovery:
Fast Length: 8
Slow Length: 21
Signal Length: 5
Lookback: 3 (Sensitive enough to catch the exact pivot points).
2. Signal Generation Logic
The indicator scans for four distinct setups. Here is the exact logic code translated into English:
Signal 1: Standard Reversal (Green/Red Pattern)
Geometry: The ZigZag algorithm identifies a 5-point structure (X-A-B-C-D), such as a Gartley, Bat, or Butterfly.
Physics Check:
Finds the last 3 momentum peaks matching the price highs.
Rule: Momentum Peak 2 must be < Peak 1 (Divergence).
Rule: Momentum Peak 3 must be <= Peak 2 (Confirmation/No Div).
Output: Draws the colored pattern and labels it (e.g., "Bearish Gartley (Exhaustion)").
Signal 2: Climax Reversal (Orange Pattern)
Geometry: Identifies the same 5-point structures.
Physics Check:
Rule: Momentum Peak 2 is >= Peak 1 (Strength/No Div).
Rule: Momentum Peak 3 is < Peak 2 (Sudden Failure/Div).
Output: Draws the pattern in Orange labeled "⚠️ CLIMAX REVERSAL". This is your "Trap" detector.
Signal 3: Rounded Top/Bottom (Navy/Maroon Label)
Geometry: Price is compressing or rounding over.
Physics Check:
Scans for 4 consecutive waves of momentum decay.
Rule: Peak 1 > Peak 2 > Peak 3 > Peak 4.
Output: Places a label indicating a "Multi-Wave Decay," identifying turns that don't have sharp pivots.
Signal 4: The Predator (Purple Pattern)
Geometry: Identifies a trend pullback (Higher Low for Buys).
Physics Check:
Rule: Momentum makes a Lower Low while Price makes a Higher Low (Hidden Divergence).
Output: Draws a Purple pattern labeled "🦖 PREDATOR" to signal trend continuation.
3. The Confluence Dashboard
Located in the corner of the screen, this provides a final "Safety Check."
Logic: It compares the absolute value (strength) of the most recent Bearish Momentum Peak vs. the most recent Bullish Momentum Low.
Output:
Green (Bulls Strong): Buying pressure is dominant. Safe to Buy, Dangerous to Sell.
Red (Bears Strong): Selling pressure is dominant. Safe to Sell, Dangerous to Buy.
Grey (Neutral): Forces are balanced.
Summary of Potential
This system solves the "Trader's Dilemma" of entering too early or too late. By waiting for the 3rd Wave, you effectively filter out the market noise and only commit capital when the opposing side has structurally and physically collapsed. It transforms trading from a guessing game into a disciplined execution of identifying Geometric Exhaustion.
Logic 1 / PREVIOUS DIVERGENCE PROJECTS future TREND BREAKS / Reversals *Not in script*
Logic 2 / Wave 1 to 2 = Divergence / Wave 2 to 3 = NO divergence = Signal
Reverse logic: Wave 1 to 2 = NO Divergence / Wave 2 to 3 = Divergence = Signal
IU Momentum OscillatorDESCRIPTION:
The IU Momentum Oscillator is a specialized trend-following tool designed to visualize the raw "energy" of price action. Unlike traditional oscillators that rely solely on closing prices relative to a range (like RSI), this indicator calculates momentum based on the ratio of bullish candles over a specific lookback period.
This "Neon Edition" has been engineered with a focus on visual clarity and aesthetic depth. It utilizes "Shadow Plotting" to create a glowing effect and dynamic "Trend Clouds" to highlight the strength of the move. The result is a clean, modern interface that allows traders to instantly gauge market sentiment—whether the bulls or bears are in control—without cluttering the chart with complex lines.
USER INPUTS:
- Momentum Length (Default: 20): The number of past candles analyzed to count bullish occurrences.
- Momentum Smoothing (Default: 20): An SMA filter applied to the raw data to reduce noise and provide a cleaner wave.
- Signal Line Length (Default: 5): The length of the EMA signal line used to generate crossover signals and the "Trend Cloud."
- Overbought / Oversold Levels (Default: 60 / 40): Thresholds that define extreme market conditions.
- Colors: Fully customizable Neon Cyan (Bullish) and Neon Magenta (Bearish) inputs to match your chart theme.
LONG CONDITION:
- Signal: A Buy signal is indicated by a small Cyan Circle.
- Logic: Occurs when the Main Momentum Line (Glowing) crosses ABOVE the Grey Signal Line.
- Visual Confirmation: The "Trend Cloud" turns Cyan and expands, indicating that bullish momentum is accelerating relative to the recent average.
SHORT CONDITIONS:
- Signal: A Sell signal is indicated by a small Magenta Circle.
- Logic: Occurs when the Main Momentum Line (Glowing) crosses BELOW the Grey Signal Line.
- Visual Confirmation: The "Trend Cloud" turns Magenta, indicating that bearish pressure is increasing.
WHY IT IS UNIQUE:
1. Candle-Count Logic: Most oscillators calculate price distance. This indicator calculates price participation (how many candles were actually green vs red). This offers a different perspective on trend sustainability.
2. Optimized Performance: The script uses math.sum functions rather than heavy for loops, ensuring it loads instantly and runs smoothly on all timeframes.
3. Visual Hierarchy: It uses dynamic gradients and transparency (Alpha channels) to create a "Glow" and "Cloud" effect. This makes the chart easier to read at a glance compared to flat, single-line oscillators.
HOW USER CAN BENEFIT FROM IT:
- Trend Confirmation: Traders can use the "Trend Cloud" to stay in trades longer. As long as the cloud is thick and colored, the trend is strong.
- Divergence Spotting: Because this calculates momentum differently than RSI, it can often show divergences (price goes up, but the count of bullish candles goes down) earlier than standard tools.
- Scalping: The crisp crossover signals (Circles) provide excellent entry triggers for scalpers on lower timeframes when combined with key support/resistance levels.
DISCLAIMER:
This source code and the information presented here are for educational and informational purposes only. It does not constitute financial, investment, or trading advice.
Trading in financial markets involves a high degree of risk and may not be suitable for all investors. You should not rely solely on this indicator to make trading decisions. Always perform your own due diligence, manage your risk appropriately, and consult with a qualified financial advisor before executing any trades.
RSI < 25 + Price Below 200 SMA (4H) - Text Signal
Price below 200MA on 4hr chart
RSI is below 25 ovsersold
Start buying small positions at every signal
Eventually price will capture the 200MA on 4hr
This will work great for NVDA, AAPL, MSFT, NFLX, PANW, AMZN, PLTR, CRWD and META.
Good for swing trading based on price action, RSI oversold and reversal
Add more on the Pin bar candles on 4hr time frame once the price is oversold.
