Daily Standard Deviation (fadi)The Daily Standard Deviation indicator uses standard deviation to map out daily price movements. Standard deviation measures how much prices stray from their average—small values mean steady trends, large ones mean wild swings. Drawing from up to 20 years of data, it plots key levels using customizable Fibonacci lines tied to that standard deviation, giving traders a snapshot of typical price behavior.
These levels align with a bell curve: about 68% of price moves stay within 1 standard deviation, 95% within roughly 2, and 99.7% within roughly 3. When prices break past the 1 StDev line, they’re outliers—only 32% of moves go that far. Prices often snap back to these lines or the average, though the reversal might not happen the same day.
How Traders Use It
If prices surge past the 1 StDev line, traders might wait for momentum to fade, then trade the pullback to that line or the average, setting a target and stop.
If prices dip below, they might buy, anticipating a bounce—sometimes a day or two later. It’s a tool to spot overstretched prices likely to revert and/or measure the odds of continuation.
Settings
Open Hour: Sets the trading day’s start (default: 18:00 EST).
Show Levels for the Last X Days: Displays levels for the specified number of days.
Based on X Period: Number of days to calculate standard deviation (e.g., 20 years ≈ 5,040 days). Larger periods smooth out daily level changes.
Mirror Levels on the Other Side: Plots symmetric positive and negative levels around the average.
Fibonacci Levels Settings: Defines which levels and line styles to show. With mirroring, negative values aren’t needed.
Overrides: Lets advanced users input custom standard deviations for specific tickers (e.g., NQ1! at 0.01296).
ボラティリティ
Inside BarsInside Bars
📌 Overview:
This indicator scans for multiple inside bars during periods of consolidation by dynamically designating a “mother bar” and then marking subsequent bars that trade entirely within its range. It includes an optional doji filter on the most recent candle, helping to confirm indecision before potential breakouts.
🛠 Key Features:
✅ Dynamic Mother Bar Identification:
The script selects a mother bar when the current bar’s range exceeds that of the previous bar. This bar sets the high and low boundaries, creating a reference zone for later price action.
Once a mother bar is defined, subsequent candles that remain completely within its high and low are flagged as inside bars.
✅ Optional Doji Check:
For added precision, an optional feature lets you verify that the most recent bar is a doji—a candle where the difference between the open and close is minimal relative to its total range. This additional filter highlights periods of market indecision, which can often precede strong directional moves.
⚡ Add this script to your chart and enhance your trading strategy! 🚀
NY Time Vertical LinesICT Killzone Asia, London Open, New York Open just with vertical lines.
Enjoy.
Avi - 8 MAMoving Averages (MA) Section
User Inputs:
The script lets you enable/disable and configure eight different moving averages. For each MA, you can choose:
The type: Simple Moving Average (SMA) or Exponential Moving Average (EMA)
The period (length)
The color used for plotting
Calculation:
A custom function (maFunc) calculates the MA value based on the selected type and length. Each moving average (from MA 1 to MA 8) is computed accordingly and then plotted on the chart.
2. EMA Cloud
Inputs:
There are inputs for a "Fast EMA" (default 8) and a "Slow EMA" (default 21).
Calculation & Plotting:
The script calculates the 8-period and 21-period EMAs. Although these EMAs are not directly plotted (they’re set with display.none), they are used to determine the market condition:
If the fast EMA is above the slow EMA, the area between them is filled with a greenish color.
If the fast EMA is below the slow EMA, the fill color turns reddish.
3. Buyer/Seller Pressure & ATR Calculations
Price Difference:
The script computes the difference between the close and open prices (as well as the percentage difference), which can be used as a measure of buyer vs. seller pressure.
ATR (Average True Range):
A 14-period ATR is calculated and then expressed as a percentage of the current close price. This gives a sense of volatility relative to the price level.
4. Volume Metrics & Relative Volume
Daily Volume & Averages:
The script retrieves daily volume data and computes a moving average for volume over a configurable length (default 20).
Relative Volume:
It calculates:
The average volume for the current period.
A relative volume multiplier comparing current volume to its moving average.
An estimated full-day volume based on the elapsed trading time, and checks if it will exceed the previous day’s volume.
The values are then formatted (e.g., converting to millions) for easier reading.
Conditional Formatting:
A background color is set based on whether the estimated relative volume is above or below a threshold.
5. Table Display
Purpose:
A table is created (position is configurable) to display key metrics:
14-day ATR percentage
Relative volume information (as a multiple and whether it exceeds the previous day)
Price difference (absolute and percentage change)
Style:
The table cells include conditional background and text colors to highlight different market conditions.
6. Pivot Points & Labels
Pivot Calculation:
The script calculates pivot highs and lows using user-defined left/right bar lengths.
Label Drawing:
When a pivot point is detected, a label is drawn on the chart to display its value. The style and colors for these labels are also configurable by the user.
Summary
This indicator script is quite comprehensive. It not only provides multiple moving averages and an EMA cloud to help visualize trend conditions but also includes features to assess market volatility, volume dynamics, and pivot levels—all of which are displayed neatly on the chart through plots and a customizable table. The commented-out gap detection code suggests that further features could be integrated if gap analysis is required.
If you have any specific questions or need further modifications, feel free to ask!
2 days ago
Release Notes
1. Moving Averages (MA) Section
User Inputs:
The script lets you enable/disable and configure eight different moving averages. For each MA, you can choose:
The type: Simple Moving Average (SMA) or Exponential Moving Average (EMA)
The period (length)
The color used for plotting
Calculation:
A custom function (maFunc) calculates the MA value based on the selected type and length. Each moving average (from MA 1 to MA 8) is computed accordingly and then plotted on the chart.
2. EMA Cloud
Inputs:
There are inputs for a "Fast EMA" (default 8) and a "Slow EMA" (default 21).
Calculation & Plotting:
The script calculates the 8-period and 21-period EMAs. Although these EMAs are not directly plotted (they’re set with display.none), they are used to determine the market condition:
If the fast EMA is above the slow EMA, the area between them is filled with a greenish color.
If the fast EMA is below the slow EMA, the fill color turns reddish.
3. Buyer/Seller Pressure & ATR Calculations
Price Difference:
The script computes the difference between the close and open prices (as well as the percentage difference), which can be used as a measure of buyer vs. seller pressure.
ATR (Average True Range):
A 14-period ATR is calculated and then expressed as a percentage of the current close price. This gives a sense of volatility relative to the price level.
4. Volume Metrics & Relative Volume
Daily Volume & Averages:
The script retrieves daily volume data and computes a moving average for volume over a configurable length (default 20).
Relative Volume:
It calculates:
The average volume for the current period.
A relative volume multiplier comparing current volume to its moving average.
An estimated full-day volume based on the elapsed trading time, and checks if it will exceed the previous day’s volume.
The values are then formatted (e.g., converting to millions) for easier reading.
Conditional Formatting:
A background color is set based on whether the estimated relative volume is above or below a threshold.
5. Table Display
Purpose:
A table is created (position is configurable) to display key metrics:
14-day ATR percentage
Relative volume information (as a multiple and whether it exceeds the previous day)
Price difference (absolute and percentage change)
Style:
The table cells include conditional background and text colors to highlight different market conditions.
6. Pivot Points & Labels
Pivot Calculation:
The script calculates pivot highs and lows using user-defined left/right bar lengths.
Label Drawing:
When a pivot point is detected, a label is drawn on the chart to display its value. The style and colors for these labels are also configurable by the user.
Summary
This indicator script is quite comprehensive. It not only provides multiple moving averages and an EMA cloud to help visualize trend conditions but also includes features to assess market volatility, volume dynamics, and pivot levels—all of which are displayed neatly on the chart through plots and a customizable table. The commented-out gap detection code suggests that further features could be integrated if gap analysis is required.
If you have any specific questions or need further modifications, feel free to ask.
toolbox🔥 TOOLBOX - The Ultimate Trading Indicator 🔥
The Toolbox indicator is designed to provide advanced technical analysis while integrating essential risk management tools. It caters to both beginner and experienced traders, helping optimize decision-making through a combination of technical indicators and risk management strategies.
⚙️ Features & Detailed Explanation
📌 Built-in Risk Management
✅ Automatic position size calculation: Based on total capital and user-defined risk percentage per trade.
✅ Stop-Loss (SL) & Take-Profit (TP) levels display: Automatically calculated based on a customizable risk/reward ratio.
✅ Smart Break Even (BE): Option to move the stop-loss to entry price after reaching a certain profit level.
🔹 Available Settings:
Total Capital 💰: Defines the trading capital.
Risk Percentage per Trade ⚠: Adjusts position size dynamically.
TP/SL Ratio 🎯: Controls the Take-Profit based on the Stop-Loss.
Break Even Activation 🔹: Secure profits automatically.
📊 Included Technical Indicators
Toolbox combines several powerful technical indicators to identify the best market opportunities.
🔄 Exponential Moving Averages (EMA)
EMA 12 & 25: Used for crossover signals.
EMA 200: Acts as a major trend filter.
✔️ If the price is above EMA 200, the trend is bullish.
✔️ If the price is below EMA 200, the trend is bearish.
New: EMA 199 & EMA 260! 🎯
These two additional EMAs provide an independent trend filter, reducing false signals.
📈 Relative Strength Index (RSI)
A classic RSI (14-period) helps spot overbought and oversold conditions.
✔️ Potential buy when RSI crosses above 30.
✔️ Potential sell when RSI crosses below 70.
📉 Bollinger Bands (BB)
Bollinger Bands (20, 2) help identify volatility expansions and potential reversals.
✔️ A close outside the bands may indicate a reversal.
📊 MACD (Moving Average Convergence Divergence)
The MACD (12, 26, 9) detects momentum shifts in the market and confirms other indicator signals.
✔️ Bullish signal: MACD crosses above the signal line.
✔️ Bearish signal: MACD crosses below the signal line.
📉 Triple EMA (TEMA)
An advanced trend filter using TEMA 9, 21, and 50.
✔️ Crossovers between short and medium TEMA indicate momentum shifts.
🚀 Entry Signals & Graphical Display
The Toolbox indicator automatically generates buy and sell signals based on trend and indicator crossovers.
✔️ TP/SL levels displayed on the chart with text labels.
✔️ Break Even (BE) lines appear when a trade reaches a predefined profit level.
✔️ Entry points marked visually with black crosses.
✅ Each indicator can be individually enabled or disabled from the settings panel.
🎯 Why Use Toolbox?
✅ Comprehensive Indicator combining technical analysis & risk management.
✅ Suitable for all trading styles: scalping, day trading, swing trading.
✅ Fully customizable: Enable or disable any indicator as needed.
✅ Optimized trade execution & risk security through advanced risk settings.
🔥 Future Updates - Version 2 in Progress!
The goal of Toolbox is to continuously evolve based on user feedback to become an even more powerful and competitive indicator. 🚀
💡 Do you have suggestions for improvements or new features?
💬 Leave your feedback in the comments or send a message!
➡ Which additional indicators would you like to see in V2?
📩 Share your thoughts to help make Toolbox even better!
🔥 Thank you for using TOOLBOX - The Ultimate Trading Indicator! 🔥
📈 Happy trading, and stay tuned for V2! 🚀
🔥 TOOLBOX - L'Indicateur Ultime du Trader 🔥
L’indicateur Toolbox est conçu pour fournir une analyse technique avancée, tout en intégrant des outils essentiels de gestion du risque. Il s'adresse aux traders débutants comme expérimentés et permet d’optimiser la prise de décision grâce à une combinaison d’indicateurs techniques et de stratégies de gestion du risque.
⚙️ Fonctionnalités et Explications Détaillées
📌 Gestion du Risque Intégrée
✅ Calcul automatique de la taille de position : En fonction du capital total et du risque défini par l’utilisateur (exprimé en % par trade).
✅ Affichage des niveaux de Stop-Loss (SL) et Take-Profit (TP) : Les niveaux sont calculés dynamiquement en fonction d’un ratio risque/récompense personnalisable.
✅ Break Even (BE) intelligent : Option pour déplacer le stop-loss au point d’entrée après un certain seuil de profit atteint.
🔹 Paramètres disponibles :
Capital Total 💰 : Définit le capital à risque.
% de Risque par trade ⚠ : Ajuste automatiquement la taille de position.
Ratio TP/SL 🎯 : Ajuste le Take-Profit en fonction du Stop-Loss.
Activation du Break Even 🔹 : Permet une sécurisation automatique des gains.
📊 Indicateurs Techniques Inclus
L’outil combine plusieurs indicateurs techniques puissants pour identifier les meilleures opportunités de marché.
🔄 Moyennes Mobiles Exponentielles (EMA)
Les EMA 12 et 25 servent de signaux de croisement, tandis que la EMA 200 est utilisée comme barrière de tendance principale.
✔️ Si le prix est au-dessus de la EMA 200, la tendance est haussière.
✔️ Si le prix est en dessous, la tendance est baissière.
Nouveauté : EMA 199 & EMA 260 ! 🎯
Ces deux moyennes mobiles indépendantes permettent un filtrage supplémentaire de la tendance pour éviter les faux signaux.
📈 RSI (Relative Strength Index)
Un RSI classique en 14 périodes est inclus pour repérer les surachats et surventes.
✔️ Achat potentiel si le RSI passe au-dessus de 30
✔️ Vente potentielle si le RSI passe en dessous de 70
📉 Bandes de Bollinger (BB)
Les Bandes de Bollinger (20, 2) aident à repérer des ruptures de volatilité et des points de retournement.
✔️ Une clôture en dehors des bandes peut signaler une extension excessive et un possible retournement.
📊 MACD (Moving Average Convergence Divergence)
Le MACD (12, 26, 9) est utilisé pour détecter les changements d’élan du marché et confirmer les signaux des autres indicateurs.
✔️ Signal haussier : Croisement du MACD au-dessus de la ligne de signal.
✔️ Signal baissier : Croisement du MACD en dessous de la ligne de signal.
📉 Triple EMA (TEMA)
Un filtre de tendance avancé basé sur le TEMA 9, 21 et 50.
✔️ Les croisements du TEMA court avec le TEMA moyen indiquent des changements de dynamique.
🚀 Signaux d’Entrée & Affichage sur le Graphique
L’indicateur Toolbox génère automatiquement des signaux d’achat et de vente en fonction des tendances et des croisements d’indicateurs.
✔️ Affichage des niveaux TP/SL sur le graphique avec étiquettes textuelles.
✔️ Lignes de Break Even (BE) lorsqu’un certain niveau de profit est atteint.
✔️ Repères visuels pour les points d’entrée sous forme de croix noires.
✅ Option pour activer/désactiver chaque indicateur individuellement depuis le panneau de configuration.
🎯 Pourquoi utiliser Toolbox ?
✅ Indicateur complet combinant analyse technique et gestion du risque.
✅ Adapté à tous les styles de trading : scalping, day trading, swing trading.
✅ Personnalisable : chaque indicateur peut être activé ou désactivé selon les préférences.
✅ Idéal pour optimiser les prises de position tout en sécurisant les trades grâce aux paramètres de risque avancés.
🔥 Évolution et Améliorations Futures - Version 2 en Préparation !
L’objectif de Toolbox est d’évoluer en fonction des retours de la communauté pour devenir un indicateur toujours plus complet et performant. 🚀
💡 Vous avez des idées d’améliorations ou souhaitez voir de nouveaux indicateurs intégrés ?
💬 Laissez vos suggestions en commentaire ou envoyez un message !
➡ Quels autres indicateurs aimeriez-vous voir ajoutés dans la V2 ?
📩 Partagez votre feedback pour rendre Toolbox encore plus puissant !
🔥 Merci d’utiliser TOOLBOX - L’indicateur du trader exigeant ! 🔥
📈 Bon trading et à bientôt pour la V2 ! 🚀
Bollinger Momentum Deviation | QuantEdgeBIntroducing Bollinger Momentum Deviation (BMD) by QuantEdgeB
🛠️ Overview
Bollinger Momentum Deviation (BMD) is a trend-following momentum indicator designed to identify strong price movements while also detecting overbought and oversold conditions in ranging markets.
By normalizing a simple moving average (SMA) with standard deviation, BMD captures momentum shifts, helping traders make data-driven entries and exits. In trending conditions, it acts as a momentum confirmation tool, while in ranging markets, it highlights mean-reversion opportunities for profit-taking or re-accumulation.
BMD combines the best of both worlds—a robust trend-following framework with an integrated volatility-based overbought/oversold detection system.
____
✨ Key Features
🔹 Momentum & Trend-Following Core
Built upon a normalized SMA with standard deviation filtering, BMD efficiently tracks price movements while reducing lag.
🔹 Overbought/Oversold Market Detection
By dynamically adjusting its thresholds based on standard deviation, it identifies high-probability reversion zones in sideways markets.
🔹 Adaptive Normalization Mechanism
Ensures consistent signal reliability across different assets and timeframes by standardizing momentum fluctuations.
🔹 Customizable Visual & Signal Settings
Includes multiple color modes, extra plots, and trend labels, making it easy to align with different trading styles.
____
📊 How It Works
1️⃣ Normalized Momentum Calculation
BMD computes a normalized momentum score using a simple moving average (SMA) combined with a standard deviation (SD) filter to create dynamic upper and lower bands. The final momentum score is derived by normalizing the price within this volatility-adjusted range. This normalization makes momentum readings comparable across different price levels and timeframes.
2️⃣ Standard Deviation Filtering
Unlike traditional approaches where standard deviation is derived from price as is the first SD, BMDs second SD is driven from the normalized momentum oscillator itself. This allows for a volatility-adjusted smoothing mechanism that adapts to momentum shifts rather than raw price fluctuations. This ensures that the trend signals remain dynamic and responsive, filtering out short-term noise while keeping the core momentum structure intact. By applying standard deviation directly to the oscillator, BMD achieves a self-regulating feedback loop, improving accuracy in both trending and range-bound conditions.
3️⃣ Signal Generation
✅ Long Signal → Upper BMD SD > Long Threshold (83)
❌ Short Signal → Lower BMD SD < Short Threshold (60)
📌 Additional Features:
- Overbought Zone → Values above 130 indicate price extension.
- Oversold Zone → Values below -10 suggest potential accumulation.
- Momentum Labels → Optional "Long" and "Short" markers for clear trade identification.
____
👥 Who Should Use It?
✅ Trend Traders & Momentum Followers → Use BMD as a confirmation tool for strong directional trends.
✅ Range & Mean Reversion Traders → Identify reversal opportunities at extreme BMD levels.
✅ Swing & Position Traders → Utilize normalized momentum shifts for data-driven entries & exits.
✅ Systematic & Quant Traders → Implement BMD within algorithmic frameworks for adaptive market detection.
____
⚙️ Customization & Default Settings
🔧 Key Custom Inputs:
- Base Length (Default: 40) → Defines the SMA calculation period.
- Standard Deviation Length (Default: 50) → Controls the volatility filter strength.
- SD Multiplier (Default: 0-7) → Adjusts the sensitivity of the momentum filter.
- Long Threshold (Default: 83) → Above this level, momentum is bullish.
- Short Threshold (Default: 60) → Below this level, momentum weakens.
- Visual Customizations → Multiple color themes, extra plots, and trend labels available.
🚀 By default, BMD is optimized for trend-following and momentum filtering while remaining adaptable to various trading strategies.
____
📌 How to Use Bollinger Momentum Deviation (BMD) in Trading
1️⃣ Trend-Following Strategy (Momentum Confirmation)
✔ Enter long positions when BMD crosses above the long threshold (83), confirming upward momentum.
✔ Enter short positions when BMD crosses below the short threshold (60), confirming downward momentum.
✔ Stay in trades as long as BMD remains in trend direction, filtering out noise.
2️⃣ Mean Reversion Strategy (Overbought/Oversold Conditions)
✔ Take profits or hedge when BMD crosses above 130 (overbought).
✔ Re-accumulate positions when BMD drops below -10 (oversold).
📌 Why?
- In trending markets, follow BMD’s momentum confirmation.
- In ranging markets, use BMD’s normalized bands to buy at deep discounts and sell into strength.
_____
📌 Conclusion
Bollinger Momentum Deviation (BMD) is a versatile momentum indicator that combines trend-following mechanics with volatility-adjusted mean reversion zones. By normalizing SMA-based momentum shifts, BMD ensures robust signal reliability across different assets and timeframes.
🔹 Key Takeaways:
1️⃣ Momentum Confirmation & Trend Detection – Captures directional strength with dynamic filtering.
2️⃣ Overbought/Oversold Conditions – Identifies reversal opportunities in sideways markets.
3️⃣ Adaptive & Customizable – Works across different timeframes and trading styles.
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Central Pivot Rangeprevious, current and future TF CPR.
The Central Pivot Range (CPR) is a technical indicator that helps traders identify potential support and resistance levels in the stock market. It's used to make trading decisions, such as entry and exit points.
CryptoScripto v1.1CriptoScripto - Революционная торговая система для криптовалют
Что такое CriptoScripto?
CriptoScripto - это мощный торговый индикатор нового поколения, созданный специально для трейдеров криптовалют. Благодаря использованию передовых нейросетей и квантовых алгоритмов, индикатор обеспечивает высокоточные сигналы для входа и выхода из позиций.
Главное преимущество: индикатор разработан с помощью современных нейросетей, что выводит его возможности далеко за пределы стандартных технических индикаторов.
Ключевые возможности
💡 Точные сигналы
Четкие сигналы для входа в лонг и шорт
Умные сигналы выхода с фиксацией прибыли
Минимум ложных срабатываний благодаря многофакторной фильтрации
📊 Полная статистика
Детальная таблица результатов в реальном времени
Отдельная статистика по лонгам и шортам
Винрейт, PnL, время в сделках и многое другое
🔔 Система алертов
Мгновенные уведомления о сигналах входа и выхода
Возможность настройки алертов для отправки на email, мобильное устройство или вебхук
Детальная информация в алертах о типе сигнала и текущей цене
Поддержка алертов для выхода из позиций с информацией о PnL
🔄 Анализ корреляции с Bitcoin
Автоматический анализ влияния BTC на вашу монету
Отслеживание изменений доминации Bitcoin
Адаптивные торговые решения в зависимости от поведения BTC
⚙️ Гибкая настройка
Выбор режима торговли (только лонги, только шорты или оба)
Настройка параметров входа и выхода
Выбор из четырех стратегий выхода из позиций
Возможность получить индивидуальные настройки для любой монеты
🛡️ Управление рисками
Интеллектуальные стоп-лоссы с учетом волатильности
Контроль просадок и последовательных убытков
Фильтрация по NATR для защиты от резких движений
Как это работает?
Нейро-квантовое ядро анализирует рынок в реальном времени
Система фильтров отсеивает ложные сигналы
Алгоритм генерирует точки входа с учетом корреляции с BTC
Умная система выхода определяет оптимальный момент для закрытия позиции
Система алертов мгновенно уведомляет вас о сигналах
Статистика автоматически обновляется после каждой сделки
Преимущества CriptoScripto
✅ Оптимизирован для 1-минутного таймфрейма - идеален для скальпинга и краткосрочной торговли
✅ Учитывает специфику криптовалют - корреляция с BTC, анализ доминации, высокая волатильность
✅ Минимум ложных сигналов благодаря многоуровневой фильтрации
✅ Наглядная визуализация всех сигналов и статистики
✅ Мгновенные алерты для своевременного входа и выхода
✅ Индивидуальная настройка под любую монету
✅ Постоянное развитие - регулярные обновления и улучшения
Настройки индикатора
Основные параметры
Режим торговли - выбор между Long, Short или Both
Стоп-лосс (%) - защита от убытков
Минимальный PnL для выхода (%) - целевая прибыль
Индикатор выхода - выбор стратегии закрытия позиций
Биржа для BTC - источник данных для корреляции
Фильтры и оптимизация
Минимальный NATR - фильтр по волатильности
Значение корреляции - порог для анализа связи с BTC
Значение доминации - чувствительность к изменениям доминации BTC
WaveTrend параметры - тонкая настройка сигналов
Система алертов
CriptoScripto предлагает мощную систему алертов, которая позволяет никогда не пропустить важный сигнал:
Алерты на вход в позицию - мгновенные уведомления о сигналах покупки и продажи
Алерты на выход из позиции - своевременные сигналы для фиксации прибыли
Детальная информация - каждый алерт содержит тип сигнала, текущую цену и дополнительные данные
Гибкая настройка - возможность получать уведомления через email, мобильное приложение или вебхук
Фильтрация по винрейту - получайте только сигналы с высокой вероятностью успеха
Для кого подходит CriptoScripto?
Скальперы - получайте точные сигналы на 1-минутном таймфрейме
Дейтрейдеры - используйте статистику для оптимизации стратегии
Свинг-трейдеры - настройте параметры под более долгосрочную торговлю
Новички - простая система сигналов и наглядная статистика
Опытные трейдеры - гибкая настройка под любой торговый стиль
Технологии в основе CriptoScripto
Нейронные сети для распознавания сложных рыночных паттернов
Квантовые алгоритмы для анализа множества сценариев
Адаптивные фильтры для отсеивания шума
Фрактальный анализ для определения ключевых уровней
Энтропийные модели для оценки предсказуемости рынка
Мультифакторная агрегация для комплексной оценки ситуации
---
Примечание: Индикатор предназначен только для образовательных целей. Торговля криптовалютами сопряжена с высоким риском. Всегда проводите собственный анализ перед принятием торговых решений.
---
📞 ИНДИВИДУАЛЬНЫЕ НАСТРОЙКИ И ПОДДЕРЖКА 📞
ПО ВСЕМ ВОПРОСАМ НАСТРОЙКИ И ИСПОЛЬЗОВАНИЯ СКРИПТА ВЫ МОЖЕТЕ ОБРАТИТЬСЯ К АВТОРУ СКРИПТА НА ПОЧТУ ИЛИ В ТЕЛЕГРАМ:
@proshinrus
CriptoScripto - Revolutionary Trading System for Cryptocurrencies
What is CriptoScripto?
CriptoScripto is a powerful next-generation trading indicator created specifically for cryptocurrency traders. Thanks to the use of advanced neural networks and quantum algorithms, the indicator provides high-precision signals for entry and exit positions.
Main advantage: The indicator is developed using modern neural networks, which takes its capabilities far beyond standard technical indicators.
Key Features
💡 Precise Signals
Clear signals for long and short entries
Smart exit signals with profit-taking
Minimum false signals thanks to multi-factor filtering
📊 Complete Statistics
Detailed real-time results table
Separate statistics for longs and shorts
Win rate, PnL, time in trades, and much more
🔔 Alert System
Instant notifications about entry and exit signals
Ability to configure alerts for email, mobile device, or webhook delivery
Detailed information in alerts about signal type and current price
Support for exit position alerts with PnL information
🔄 Bitcoin Correlation Analysis
Automatic analysis of BTC influence on your coin
Tracking Bitcoin dominance changes
Adaptive trading decisions based on BTC behavior
⚙️ Flexible Configuration
Trading mode selection (longs only, shorts only, or both)
Entry and exit parameter settings
Choice of four position exit strategies
Possibility to get individual settings for any coin
🛡️ Risk Management
Intelligent stop-losses considering volatility
Control of drawdowns and consecutive losses
NATR filtering for protection against sharp movements
How It Works
1. Neural-quantum core analyzes the market in real-time
2. Filter system eliminates false signals
Algorithm generates entry points considering BTC correlation
Smart exit system determines the optimal moment to close a position
Alert system instantly notifies you of signals
Statistics automatically update after each trade
Advantages of CriptoScripto
✅ Optimized for 1-minute timeframe - ideal for scalping and short-term trading
✅ Considers cryptocurrency specifics - BTC correlation, dominance analysis, high volatility
✅ Minimum false signals thanks to multi-level filtering
✅ Clear visualization of all signals and statistics
✅ Instant alerts for timely entry and exit
✅ Individual customization for any coin
✅ Continuous development - regular updates and improvements
Indicator Settings
Basic Parameters
Trading mode - choice between Long, Short, or Both
Stop-loss (%) - protection against losses
Minimum PnL for exit (%) - target profit
Exit indicator - choice of position closing strategy
Exchange for BTC - data source for correlation
Filters and Optimization
Minimum NATR - volatility filter
Correlation value - threshold for BTC connection analysis
Dominance value - sensitivity to BTC dominance changes
WaveTrend parameters - fine-tuning of signals
Alert System
CriptoScripto offers a powerful alert system that ensures you never miss an important signal:
Entry position alerts - instant notifications about buy and sell signals
Exit position alerts - timely signals for profit-taking
Detailed information - each alert contains signal type, current price, and additional data
Flexible configuration - ability to receive notifications via email, mobile app, or webhook
Win rate filtering - receive only signals with a high probability of success
Who is CriptoScripto For?
Scalpers - get precise signals on the 1-minute timeframe
Day traders - use statistics to optimize strategy
Swing traders - configure parameters for longer-term trading
Beginners - simple signal system and clear statistics
Experienced traders - flexible customization for any trading style
Technologies Behind CriptoScripto
Neural networks for recognizing complex market patterns
Quantum algorithms for analyzing multiple scenarios
Adaptive filters for noise elimination
Fractal analysis for determining key levels
Entropy models for assessing market predictability
Multi-factor aggregation for comprehensive situation assessment
---
Note: The indicator is intended for educational purposes only. Cryptocurrency trading involves high risk. Always conduct your own analysis before making trading decisions.
---
📞 INDIVIDUAL SETTINGS AND SUPPORT 📞
FOR ALL QUESTIONS REGARDING SETUP AND USAGE OF THE SCRIPT, YOU CAN CONTACT THE AUTHOR VIA EMAIL OR TELEGRAM:
@proshinrus
Pure CocaPure Coca - Trend & Mean Reversion Indicator
Overview
The Pure Coca indicator is a trend and mean reversion analysis tool designed for identifying dynamic shifts in market behavior. By leveraging Z-score calculations, this indicator captures both trend-following and mean-reverting periods, making it useful for a wide range of trading strategies.
What It Does
📉 Detects Overbought & Oversold Conditions using a Z-score framework.
🎯 Identifies Trend vs. Mean Reversion Phases by analyzing the deviation of price from its historical average.
📊 Customizable Moving Averages (EMA, SMA, VWMA, etc.) for smoothing Z-score calculations.
🔄 Adaptable to Any Timeframe – Default settings are optimized for 2D charts but can be adjusted to suit different market conditions.
How It Works
Computes a Z-score of price movements, normalized over a lookback period.
Plots upper and lower boundaries to visualize extreme price movements.
Dynamic Midlines adjust entry and exit conditions based on market shifts.
Background & Bar Coloring help traders quickly identify trading opportunities.
Key Features & Inputs
✔ Lookback Period: Adjustable period for calculating Z-score.
✔ Custom MA Smoothing: Choose from EMA, SMA, WMA, VWAP, and more.
✔ Z-Score Thresholds: Set upper and lower bounds to define overbought/oversold conditions.
✔ Trend vs. Mean Reversion Mode: Enables traders to spot momentum shifts in real-time.
✔ Bar Coloring & Background Highlights: Enhances visual clarity for decision-making.
How to Use It
Trend Trading: Enter when the Z-score crosses key levels (upper/lower boundary).
Mean Reversion: Look for reversals when price returns to the midline.
Custom Optimization: Adjust lookback periods and MA types based on market conditions.
Why It's Unique
✅ Combines Trend & Mean Reversion Analysis in one indicator.
✅ Flexible Z-score settings & MA choices for enhanced adaptability.
✅ Clear visual representation of market extremes.
Final Notes
This indicator is best suited for discretionary traders, quantitative analysts, and systematic traders looking for data-driven market insights. As with any trading tool, use in conjunction with other analysis methods for optimal results.
Destroy Strategy - Trend & ReversalThe Destroy Strategy - Trend & Reversal is a trading indicator designed to identify potential trend continuations and reversals in the market. It combines multiple technical analysis tools to provide clear signals for traders.
RS v6.0.1Modifications and updates to the origina Rocket Scalper v5 specifically designed for seekng optimal entry points via atr derived fib extensions from signals, with programmable alerts for automation of trade entries via API.
The source code is locked, but I will grant access upon request on a first-come-first-serve basis.
Opening Price Deviations with AlertsOverview
The Timeframe Opening Price Deviations indicator helps traders visualize how price deviates from a key reference point—the opening price of a selected timeframe (Daily, Weekly, or Monthly). It calculates upper and lower deviation levels based on a percentage step and plots these levels on the chart. This can help traders identify potential areas of support and resistance.
----------------------------------------------------------------------------------------------------------------------
How It Works
Opening Price Reference:
The script retrieves the opening price of the selected timeframe (Daily, Weekly, or Monthly).
Deviation Levels Calculation:
Five upper and lower deviation levels are calculated based on a percentage step input by the user.
Each level is determined by multiplying the opening price by (1 ± step size).
Visualization
The indicator plots the calculated levels as horizontal lines above and below the opening price.
Labels appear only on the latest bar, displaying the exact price level along with its percentage deviation from the opening price.
User has the option to turn on/off or change the bar colours. If price is within the 1st deviation lines that's considered neutral coloured orange as default. If price is above/below the first deviation levels the bar colours will be green or red.
---------------------------------------------------------------------------------------------------------------------
Potential Use Cases
Support & Resistance Zones 🟢🔴
The deviation levels can act as potential areas where price may reverse or consolidate based on historical price behaviour.
Breakout & Reversion Strategies 📈📉
If price breaks above an upper deviation level, it could indicate momentum continuation.
If price rejects from a level, it might suggest a mean reversion opportunity.
Trend Strength Analysis 🔍
The distance between the price and deviation levels can help traders assess whether a trend is strong (moving away from the opening price) or weak (hovering near the opening price).
Intraday vs. Multi-Timeframe Perspective 🕒
By selecting different timeframes (Daily, Weekly, Monthly), traders can align intraday price movements with higher timeframe reference points for added confluence.
---------------------------------------------------------------------------------------------------------------------
Customization Options
Timeframe Selection: Choose between Daily, Weekly, or Monthly opening prices.
Deviation Step (%): Adjust the step size to control the spacing between deviation levels.
Colour Bars: User Is able to change the colour of the bars.
---------------------------------------------------------------------------------------------------------------------
Alerts
This Indicator also has alerts for when price crosses above/below a deviation line. It will tell you the ticker, price and time
---------------------------------------------------------------------------------------------------------------------
Final Notes
This indicator is purely for technical analysis and should not be used as a standalone trading system. It works best when combined with price action, volume analysis, or other indicators of you're choosing to refine trade decisions.
Happy Trading! 🚀📊
---------------------------------------------------------------------------------------------------------------------
This explanation is clear, informative, and compliant with TradingView’s House Rules.
Percentage Change on Candles% change on candles indicator, used for signalling breakouts, back-testing, gathering quantifiable data
Liquidations Levels [RunRox]📈 Liquidation Levels is an indicator designed to visualize key price levels on the chart, highlighting potential reversal points where liquidity may trigger significant price movements.
Liquidity is essential in trading - price action consistently moves from one liquidity area to another. We’ve created this free indicator to help traders easily identify and visualize these liquidity zones on their charts.
📌 HOW IT WORKS
The indicator works by marking visible highs and lows, points widely recognized by traders. Because many traders commonly place their stop-loss orders beyond these visible extremes, significant liquidity accumulates behind these points. By analyzing trading volume and visible extremes, the indicator estimates areas where clusters of stop-loss orders (liquidity pools) are likely positioned, giving traders valuable insights into potential market moves.
As shown in the screenshot above, the price aggressively moved toward Sell-Side liquidity. After sweeping this liquidity level for the second time, it reversed and began targeting Buy-Side liquidity. This clearly demonstrates how price moves from one liquidity pool to another, continually seeking out liquidity to fuel its next directional move.
As shown in the screenshot, price levels with fewer anticipated trader stop-losses are indicated by less vibrant, faded colors. When the lines become more saturated and vivid, it signals that sufficient liquidity - in the form of clustered stop-losses has accumulated, potentially attracting price movement toward these areas.
⚙️ SETTINGS
🔹 Period – Increasing this setting makes the marked highs and lows more significant, filtering out minor price swings.
🔹 Low Volume – Select the color displayed for low-liquidity levels.
🔹 High Volume – Select the color displayed for high-liquidity levels.
🔹 Levels to Display – Choose between 1 and 15 nearest liquidity levels to be shown on the chart.
🔹 Volume Sensitivity – Adjust the sensitivity of the indicator to volume data on the chart.
🔹 Show Volume – Enable or disable the display of volume values next to each liquidity level.
🔹 Max Age – Limits displayed liquidity levels to those not older than the specified number of bars.
✅ HOW TO USE
One method of using this indicator is demonstrated in the screenshot above.
Price reached a high-liquidity level and showed an initial reaction. We then waited for a second confirmation - a liquidity sweep followed by a clear market structure break - to enter the trade.
Our target is set at the liquidity accumulated below, with the stop-loss placed behind the manipulation high responsible for the liquidity sweep.
By following this approach, you can effectively identify trading opportunities using this indicator.
🔶 We’ve made every effort to create an indicator that’s as simple and user-friendly as possible. We’ll continue to improve and enhance it based on your feedback and suggestions in the future.
Multi-day Rolling VWAP LevelsRolling vwap levels. Timeframe independant. Clean horizontal lines for the 7, 30, 90, and 365-day VWAP levels Labels positioned to the right with black text and no background. Proper alignment that moves with the chart when scrolling.
Uptrick: Portfolio Allocation DiversificationIntro
The Uptrick: Portfolio Allocation Diversification script is designed to help traders and investors manage multiple assets simultaneously. It generates signals based on various trading systems, allocates capital using different diversification methods, and displays real-time metrics and performance tables on the chart. The indicator compares active trading strategies with a separate long-term holding (HODL) simulation, allowing you to see how a systematic trading approach stacks up against a simple buy-and-hold strategy.
------------------------------------------------------------------------
Trading System Selection
1. No signals (none)
In this mode, the script does not produce bullish or bearish indicators; every asset stays in a neutral stance. This setup is useful if you prefer to observe how capital might be distributed based solely on the chosen diversification method, with no influence from directional signals.
2. rsi – neutral
This mode uses an index-based measure of whether an asset appears overbought or oversold. It generates a bearish signal if market conditions point to overbought territory, and a bullish signal if they indicate oversold territory. If neither extreme surfaces, it remains neutral. Some traders apply this in sideways or range-bound conditions, where overbought and oversold levels often hint at possible turning points. It does not specifically account for divergence patterns.
3. rsi – long only
In this setting, the system watches for instances where momentum readings strengthen even if the asset’s price is still under pressure or setting new lows. It also considers oversold levels as potential signals for a bullish setup. When such conditions emerge, the script flags a possible move to the upside, ignoring indications that might otherwise suggest a bearish trend. This approach is generally favored by those who want to concentrate exclusively on identifying price recoveries.
4. rsi – short only
Here, the script focuses on spotting signs of deteriorating momentum while an asset’s price remains relatively high or attempts further gains. It also checks whether the market is drifting into overbought territory, suggesting a potential decline. Under such conditions, it issues a bearish signal. It provides no bullish alerts, making it particularly suitable for traders who look to take advantage of overvalued scenarios or protect themselves against sudden downward moves.
5. Deviation from fair value
Under this system, the script judges how far the current price may have strayed from what is considered typical, taking into account normal fluctuations. If the asset appears to be trading at an unusually low level compared to that reference, it is flagged as bullish. If it seems abnormally high, a bearish signal is issued. This can be applied in various market environments to seek opportunities that arise from perceived mispricing.
6. Percentile channel valuation
In this mode, the script determines where an asset's price stands within a historical distribution, highlighting whether it has reached unusually high or low territory compared to its recent past. When the price reaches what is deemed an extreme reading, it may indicate that a reversal is more likely. This approach is often used by traders who watch for statistical outliers and potential reversion to a more typical trading range.
7. ATH valuation
This technique involves comparing an asset's current price with its previously recorded peak values. The script then interprets whether the price is positioned so far below the all-time high that it looks discounted, or so close to that high that it could be overextended. Such perspective is favored by market participants who want to see if an asset still has ample room to climb before matching historic extremes, or if it is nearing a possible ceiling.
8. Z-score system
Here, the script measures how far above or below a standard reference average an asset's price may be, translated into standardized units. Substantial negative readings can suggest a price that might be unusually weak, prompting a bullish indication, while large positive readings could signal overextension and lead to a bearish call. This method is useful for traders watching for abrupt deviations from a norm that often invite a reversion to more balanced levels.
RSI Divergence Period
This input is particularly relevant for the RSI - Long Only and RSI - Short Only modes. The period determines how many bars in the past you compare RSI values to detect any divergences.
------------------------------------------------------------------------
Diversification Method
Once the script has determined a bullish, bearish, or neutral stance for each asset, it then calculates how to distribute capital among all included assets. The diversification method sets the weighting logic.
1. None
Gives each asset an equal weight. For example, if you have five included assets, each might get 20 percent. This is a simple baseline.
2. Risk-Adjusted Expected Return Using Volatility Clustering
Emphasizes each asset’s average returns relative to its observed risk or volatility tendencies. Assets that exhibit good risk-adjusted returns combined with moderate or lower volatility may receive higher weights than more volatile or less appealing assets. This helps steer capital toward assets that have historically provided a better ratio of return to risk.
3. Relative Strength
Allocates more capital to assets that show stronger price strength compared to a reference (for example, price above a long-term moving average plus a higher RSI). Assets in clear uptrends may be given higher allocations.
4. Trend-Following Indicators
Examines trend-based signals, like positive momentum measurements or upward-trending strength indicators, to assign more weight to assets demonstrating strong directional moves. This suits those who prefer to latch onto trending markets.
5. Volatility-Adjusted Momentum
Looks for assets that have strong price momentum but relatively subdued volatility. The script tends to reward assets that are trending well yet are not too volatile, aiming for stable upward performance rather than massive swings.
6. Correlation-Based Risk Parity
Attempts to weight assets in such a way that the overall portfolio risk is more balanced. Although it is not an advanced correlation matrix approach in a strict sense, it conceptually scales each asset’s weight so no single outlier heavily dominates.
7. Omega Ratio Maximization
Gives preference to assets with higher omega ratios. This ratio can be interpreted as the probability-weighted gains versus losses. Assets with a favorable skew are given more capital.
8. Liquidity-Weighted Valuation
Considers each asset’s average trading liquidity, such as the combination of volume and price. More liquid assets typically receive a higher allocation because they can be entered or exited with lower slippage. If the trading system signals bullishness, that can further boost the allocation, and if it signals bearishness, the allocation might be set to zero or reduced drastically.
9. Drawdown-Controlled Allocation (DCA)
Examines each asset’s maximum drawdown over a recent window. Assets experiencing lighter drawdowns (thus indicating somewhat less downside volatility) receive higher allocations, aiming for a smoother overall equity curve.
------------------------------------------------------------------------
Portfolio and Allocation Settings
Portfolio Value
Defines how much total capital is available for the strategy-based investment portion. For example, if set to 10,000, then each asset’s monetary allocation is determined by the percentage weighting times 10,000.
Use Fixed Allocation
When enabled, the script calculates the initial allocation percentages after 50 bars of data have passed. It then locks those percentages for the remainder of the backtest or real-time session. This feature allows traders to test a static weighting scenario to see how it differs from recalculating weights at each bar.
------------------------------------------------------------------------
HODL Simulator
The script has a separate simulation that accumulates positions in an asset whenever it appears to be recovering from an undervalued state. This parallel tracking is intended to contrast a simple buy-and-hold approach with the more adaptive allocation methods used elsewhere in the script.
HODL Buy Quantity
Each time an asset transitions from an undervalued state to a recovery phase, the simulator executes a purchase of a predefined quantity. For example, if set to 0.5 units, the system will accumulate this amount whenever conditions indicate a shift away from undervaluation.
HODL Buy Threshold
This parameter determines the level at which the simulation identifies an asset as transitioning out of an undervalued state. When the asset moves above this threshold after previously being classified as undervalued, a buy order is triggered. Over time, the performance of these accumulated positions is tracked, allowing for a comparison between this passive accumulation method and the more dynamic allocation strategy.
------------------------------------------------------------------------
Asset Table and Display Settings
The script displays data in multiple tables directly on your chart. You can toggle these tables on or off and position them in various corners of your TradingView screen.
Asset Info Table Position
This table provides key details for each included asset, displaying:
Symbol – Identifies the trading pair being monitored. This helps users keep track of which assets are included in the portfolio allocation process.
Current Trading Signal – Indicates whether the asset is in a bullish, bearish, or neutral state based on the selected trading system. This assists in quickly identifying which assets are showing potential trade opportunities.
Volatility Approximation – Represents the asset’s historical price fluctuations. Higher volatility suggests greater price swings, which can impact risk management and position sizing.
Liquidity Estimate – Reflects the asset’s market liquidity, often based on trading volume and price activity. More liquid assets tend to have lower transaction costs and reduced slippage, making them more favorable for active strategies.
Risk-Adjusted Return Value – Measures the asset’s returns relative to its risk level. This helps in determining whether an asset is generating efficient returns for the level of volatility it experiences, which is useful when making allocation decisions.
2. Strategy Allocation Table Position
Displays how your selected diversification method converts each asset into an allocation percentage. It also shows how much capital is being invested per asset, the cumulative return, standard performance metrics (for example, Sharpe ratio), and the separate HODL return percentage.
Symbol – Displays the asset being analyzed, ensuring clarity in allocation distribution.
Allocation Percentage – Represents the proportion of total capital assigned to each asset. This value is determined by the selected diversification method and helps traders understand how funds are distributed within the portfolio.
Investment Amount – Converts the allocation percentage into a dollar value based on the total portfolio size. This shows the exact amount being invested in each asset.
Cumulative Return – Tracks the total return of each asset over time, reflecting how well it has performed since the strategy began.
Sharpe Ratio – Evaluates the asset’s return in relation to its risk by comparing excess returns to volatility. A higher Sharpe ratio suggests a more favorable risk-adjusted performance.
Sortino Ratio – Similar to the Sharpe ratio, but focuses only on downside risk, making it more relevant for traders who prioritize minimizing losses.
Omega Ratio – Compares the probability of achieving gains versus losses, helping to assess whether an asset provides an attractive risk-reward balance.
Maximum Drawdown – Measures the largest percentage decline from an asset’s peak value to its lowest point. This metric helps traders understand the worst-case loss scenario.
HODL Return Percentage – Displays the hypothetical return if the asset had been bought and held instead of traded actively, offering a direct comparison between passive accumulation and the active strategy.
3. Profit Table
If the Profit Table is activated, it provides a summary of the actual dollar-based gains or losses for each asset and calculates the overall profit of the system. This table includes separate columns for profit excluding HODL and the combined total when HODL gains are included. As seen in the image below, this allows users to compare the performance of the active strategy against a passive buy-and-hold approach. The HODL profit percentage is derived from the Portfolio Value input, ensuring a clear comparison of accumulated returns.
4. Best Performing Asset Table
Focuses on the single highest-returning or highest-profit asset at that moment. It highlights the symbol, the asset’s cumulative returns, risk metrics, and other relevant stats. This helps identify which asset is currently outperforming the rest.
5. Most Profitable Asset
A simpler table that underscores the asset producing the highest absolute dollar profit across the portfolio.
------------------------------------------------------------------------
Multi Asset Selection
You can include up to ten different assets (such as BTCUSDT, ETHUSDT, ADAUSDT, and so on) in this script. Each asset has two inputs: one to enable or disable its inclusion, and another to select its trading pair symbol. Once you enable an asset, the script requests the relevant market data from TradingView.
------------------------------------------------------------------------
Uniqness and Features
1. Multiple Data Fetches
Each asset is pulled from the chart’s timeframe, along with various metrics such as RSI, volatility approximations, and trend indicators.
2. Various Risk and Performance Metrics
The script internally keeps track of different measures, like Sharpe ratio (a measure of average return adjusted for risk), Sortino ratio (which focuses on downside volatility), Omega ratio, and maximum drawdown. These metrics feed into the strategy allocation table, helping you quickly assess the risk-and-return profile of each asset.
3. Real-Time Tables
Instead of having to set up complex spreadsheets or external dashboards, the script updates all tables on every new bar. The color schemes in these tables are designed to draw attention to bullish or bearish signals, positive or negative returns, and so forth.
4. HODL Comparison
You can visually compare the active strategy’s results to a separate continuous buy-on-dips accumulation strategy. This allows for insight into whether your dynamic approach truly beats a simpler, more patient method.
5. Locking Allocations
The Use Fixed Allocation input is convenient for those who want to see how holding a fixed distribution of capital performs over time. It helps in distinguishing between constant rebalancing vs a fixed, set-and-forget style.
------------------------------------------------------------------------
How to use
1. Add the Script to Your Chart
Once added, open the settings panel to configure your asset list, choose a trading system, and select the diversification approach.
2. Select Assets
Pick up to ten symbols to monitor. Disable any you do not want included. Each included asset is then handled for signals, diversification, and performance metrics.
3. Choose Trading System
Decide if you prefer RSI-based signals, a fair-value approach, or a percentile-based method, among others. The script will then flag assets as bullish, bearish, or neutral according to that selection.
4. Pick a Diversification Method
For example, you might choose Trend-Following Indicators if you believe momentum stocks or cryptocurrencies will continue their trends. Or you could use the Omega Ratio approach if you want to reward assets that have had a favorable upside probability.
5. Set Portfolio Value and HODL Parameters
Enter how much capital you want to allocate in total (for the dynamic strategy) and adjust HODL buy quantities and thresholds as desired. (HODL Profit % is calculated from the Portfolio Value)
6. Inspect the Tables
On the chart, the script can display multiple tables showing your allocations, returns, risk metrics, and which assets are leading or lagging. Monitor these to make decisions about capital distribution or see how the strategy evolves.
------------------------------------------------------------------------
Additional Remarks
This script aims to simplify multi-asset portfolio management in a single tool. It emphasizes user-friendliness by color-coding the data in tables, so you do not need extra spreadsheets. The script is also flexible in letting you lock allocations or compare dynamic updates.
Always remember that no script can guarantee profitable outcomes. Real markets involve unpredictability, and real trading includes fees, slippage, and liquidity constraints not fully accounted for here. The script uses real-time and historical data for demonstration and educational purposes, providing a testing environment for various systematic strategies.
Performance Considerations
Due to the complexity of this script, users may experience longer loading times, especially when handling multiple assets or using advanced allocation methods. In some cases, calculations may time out if too many settings are adjusted simultaneously. If this occurs, removing and reapplying the indicator to the chart can help reset the process. Additionally, it is recommended to configure inputs gradually instead of adjusting all parameters at once, as excessive changes can extend the script’s loading duration beyond TradingView’s processing limits.
------------------------------------------------------------------------
Originality
This script stands out by integrating multiple asset management techniques within a single indicator, eliminating the need for multiple scripts or external portfolio tools. Unlike traditional single-asset strategies, it simultaneously evaluates multiple assets, applies systematic allocation logic, and tracks risk-adjusted performance in real time. The script is designed to function within TradingView’s script limitations while still allowing for complex portfolio simulations, making it an efficient tool for traders managing diverse holdings. Additionally, its combination of systematic trading signals with allocation-based diversification provides a structured approach to balancing exposure across different market conditions. The dynamic interplay between adaptive trading strategies and passive accumulation further differentiates it from conventional strategy indicators that focus solely on directional signals without considering capital allocation.
Conclusion
Uptrick: Portfolio Allocation Diversification pulls multiple assets into one efficient workflow, where each asset’s signal, volatility, and performance is measured, then assigned a share of capital according to your selected diversification method. The script accommodates both dynamic rebalancing and a locked allocation style, plus an ongoing HODL simulation for passive accumulation comparison. It neatly visualizes the entire process through on-chart tables that are updated every bar.
Traders and investors looking for ways to manage multiple assets under one unified framework can explore the different modules within this script to find what suits their style. Users can quickly switch among trading systems, vary the allocation approach, or review side-by-side performance metrics to see which method aligns best with their risk tolerance and market perspective.
VIX:VIX3M RatioThe VIX/VIX3M Ratio indicator compares the short-term (1-month) volatility index (VIX) to the medium-term (3-month) volatility index (VIX3M). This ratio provides insights into the market's volatility expectations across different time horizons.
Key Interpretations:
Ratio > 1: Short-term volatility expectations are higher than 3-month expectations
Ratio = 1: Short-term and medium-term volatility expectations are aligned
Ratio < 1: Medium-term volatility expectations are higher than short-term expectations
Potential Trading Insights:
A rising ratio may indicate increasing near-term market uncertainty
Significant deviations from 1.0 can signal potential market stress or changing risk perceptions
Traders use this to gauge the term structure of market volatility
Crypto Market Session Guide with Local TimeMaster the Markets with the Ultimate Trading Session Indicator
Timing is everything in trading. Knowing when liquidity is at its peak and when market sessions overlap can make all the difference in your strategy. This Market Session Guide Indicator helps you navigate the trading day with real-time session tracking, countdown timers, and local time adjustments—giving you a clear edge in the market.
Key Features
Live Session Tracking – Instantly see which trading session is active: Asian, European, US, or the high-volatility EU-US overlap.
Automatic Local Time Conversion – No need to convert UTC manually—session times adjust automatically based on your TradingView exchange settings.
Daylight Saving Time Adjustments – The US market opening and closing times are automatically adjusted for summer and winter shifts.
Countdown Timer for Session Close – Know exactly when the current session will end so you can time your trades effectively.
Next Market Opening Display – Always be prepared by knowing which market opens next and at what exact time in your local timezone.
Clear Visual Guide – A structured table in the top-right of your chart provides all essential session details without cluttering your screen.
How It Works
This indicator tracks the three main trading sessions:
Asian Session (Tokyo, Sydney): 00:00 - 09:00 UTC
European Session (London, Frankfurt): 07:00 - 16:00 UTC
US Session (New York, Chicago): 13:30 - 22:00 UTC (adjusts automatically for Daylight Saving Time)
EU-US Overlap: 12:00 - 16:00 UTC, the most volatile period of the trading day
It also highlights when a session is about to close and when the next one will begin, ensuring you are always aware of liquidity shifts in the market.
Why You Need This Indicator
Optimized for Forex, Crypto, and Indices – Helps traders align their strategies with the most active market hours.
Ideal for Scalping and Day Trading – Enter trades during peak volatility to maximize opportunities.
Eliminates Guesswork – Stop manually tracking time zones and market schedules—everything updates dynamically for you.
Upgrade Your Trading Strategy Today
This indicator simplifies market timing, ensuring you're always trading when liquidity and volatility are at their highest. Whether you're trading Forex, Crypto, or Stocks, knowing when markets open and close is essential for making informed decisions.
Try it out, and if you find it useful, consider sharing it with other traders. Your feedback is always welcome!
Flow Optimized Moving AverageOverview
The Flow Optimized Moving Average (Flow OMA) is an advanced adaptive moving average designed to dynamically adjust smoothing factors based on market efficiency and volatility. By integrating the Efficiency Ratio (ER) with an Adaptive Moving Average (AMA) and leveraging ATR-based bands, this indicator provides traders with a refined tool for identifying trend direction, strength, and potential reversal zones.
Key Features
Adaptive Moving Average (AMA)
Adjusts to price action based on the Efficiency Ratio (ER), reducing lag in trending markets while smoothing noise in ranging conditions.
Efficiency Ratio (ER)
Measures the effectiveness of price movement over a defined lookback period.
Helps in dynamically adjusting the smoothing constant of the AMA.
ATR-Based Volatility Bands
Creates upper and lower dynamic bands based on the Average True Range (ATR).
Expands in high volatility and contracts in low volatility, providing traders with a contextual understanding of price action.
Slope-Based Trend Strength
Normalizes the moving average slope relative to ATR.
Generates a trend strength score, which influences band opacity, making strong trends visually distinguishable.
Dynamic Color Coding
Bullish Trends: Cyan/Turquoise (#00e2ff)
Bearish Trends: Blue (#003ff5)
Neutral Trends: Gray
The transparency of the bands dynamically adjusts based on trend strength.
Fill Zone Effect
The area between the ATR bands is filled with a gradient-like effect, giving a clear visual representation of trend strength and transitions.
Indicator Components
Inputs (User Settings)
ER Lookback Period: Defines how many bars are used in the Efficiency Ratio calculation (default: 10).
Fast & Slow Periods: Control the sensitivity of the Adaptive Moving Average (default: 2 & 30).
ATR Period: Defines the lookback for Average True Range (default: 14).
Band Multiplier: Determines the width of ATR-based bands (default: 1.5).
Slope Average Period: Smooths trend slope for more stable trend assessment (default: 5).
Efficiency Ratio Calculation
Measures how effectively price moves in a straight line compared to its total movement.
A higher ER value suggests strong trend momentum, while a lower value implies consolidation.
Adaptive Moving Average (AMA)
Dynamically adjusts its smoothing factor based on ER.
Uses a smoothing constant that ranges between the fastest and slowest specified values.
Volatility-Based Bands
Constructed using the ATR multiplier.
Expand and contract dynamically in response to market volatility.
Trend Strength & Direction
Computed using the normalized slope of AMA against ATR.
Positive slope = Bullish trend, Negative slope = Bearish trend.
Visual Enhancements
Colored Adaptive MA Line: Changes based on trend direction.
ATR Bands with Gradient Fill: Visual representation of market conditions.
Dynamic Opacity: Highlights trend strength through transparency.
How to Use the Flow OMA Indicator
Trend Identification
When the Adaptive MA is rising and colored cyan, a bullish trend is in play.
When the Adaptive MA is falling and colored blue, a bearish trend is present.
Trend Strength Assessment
A stronger trend results in more opaque band fills, indicating a clear directional bias.
Weaker trends or consolidations result in fainter fills, signaling a loss of momentum.
Reversal Signals
If price touches the upper band in a bullish move and starts reversing, it can indicate potential profit-taking areas.
If price approaches the lower band in a bearish move and rebounds, a short-term reversal may be imminent.
Volatility Insights
Narrow bands indicate low volatility and possible breakout conditions.
Wider bands suggest increased volatility, warning traders of potential price swings.
Best Practices
✅ Combine with Other Indicators
Use RSI, MACD, or Volume Profile for confirmation before executing trades.
✅ Apply to Multiple Timeframes
Works effectively in higher timeframes (1H, 4H, Daily) for trend trading.
Can be utilized in lower timeframes (5m, 15m) for scalping setups.
✅ Adjust Parameters Based on Asset Volatility
Increase ATR Period for stocks with high volatility.
Reduce ATR Multiplier for forex pairs to avoid excessive band width.
The Flow Optimized Moving Average (Flow OMA) is a powerful trend-following tool designed for both swing and intraday traders. Its adaptive nature allows it to efficiently track trends while minimizing false signals. By incorporating dynamic volatility bands and trend-sensitive color coding, this indicator enhances traders' ability to read price action effectively. Whether used standalone or in combination with other indicators, Flow OMA provides a significant edge in trend analysis.
Volatility Based Momentum by QTX Algo SystemsVolatility Based Momentum by QTX Algo Systems
Overview
This indicator is designed to determine whether a market trend is genuinely supported by both momentum and volatility. It produces per-candle signals when a smoothed momentum oscillator is above its moving average, a Price – Moving Average Ratio confirms overall trend strength by remaining above a preset level with a positive slope, and when at least one of two distinct volatility metrics is rising. This integrated approach offers traders a consolidated and dynamic view of market energy, delivering more actionable insights than a simple merger of standard indicators.
How It Works
The indicator fuses two complementary volatility measures with dual momentum assessments to ensure robust signal generation. One volatility metric evaluates long-term market behavior by analyzing the dispersion of logarithmic price changes, while the other—derived from a Bollinger Band Width Percentile—captures recent price variability and confirms that market volatility remains above a minimum threshold. A trading signal is generated only when at least one of these volatility measures shows a sustained upward trend over several candles.
For momentum, a double‐smoothed Stochastic Momentum Index provides a refined, short-term view of price action, filtering out market noise. In addition, the PMARP serves as a confirmation tool by comparing the current price to its moving average, requiring that its value remains above a defined level with a positive slope to indicate a strong trend. Together, these elements ensure that a signal is only produced when both the market’s momentum and volatility are in alignment.
Although the components used are based on well-known technical analysis methods, the thoughtful integration of these elements creates a tool that is more than the sum of its parts. By combining long-term volatility assessment with a real-time measure of recent price variability—and by merging short-term momentum analysis with a confirmation of overall trend strength—the indicator delivers a more reliable and comprehensive view of market energy. This holistic approach distinguishes it from standard indicators.
How to Use
Traders can adjust the volatility threshold setting to tailor the indicator to their preferred market or timeframe. The indicator displays per-candle signals when both the refined momentum criteria and the dynamic volatility conditions are met. These signals are intended to be used as part of a broader trading strategy, in conjunction with other technical analysis tools for confirming entries and exits.
Disclaimer
This indicator is for educational purposes only and is intended to support your trading strategy. It does not guarantee performance, and past results are not indicative of future outcomes. Always use proper risk management and perform your own analysis before trading.
Continuation Opportunity Indicator by QTX Algo SystemsContinuation Opportunity Indicator by QTX Algo Systems
Overview
This indicator is designed to pinpoint key moments within an established trend when a pullback is likely just a temporary consolidation rather than a reversal. It distinguishes phases of reduced volatility—suggesting a pause or consolidation—from moments when volatility subsequently increases, confirming that the prevailing trend is resuming. This integrated approach combines multiple classical elements into a unique tool that offers traders clear insight into trend continuity.
How It Works
The indicator marries two types of volatility measurements with dual momentum assessments and a trend filter to generate continuation signals. Two complementary volatility metrics are used: one assesses long-term price dispersion to gauge overall market behavior, while the other employs a percentile-based method to capture recent variability and ensure that overall market volatility meets a minimum threshold. A critical part of the signal generation is that the pullback must occur during a period of reduced volatility, indicating consolidation, and then be followed by an increase in volatility, which confirms the resumption of the trend.
For momentum analysis, a double‐smoothed oscillator provides a refined, short-term view of price action, and a Price – Moving Average Ratio (PMARP) confirms the trend’s strength by requiring that it remains above or below a set threshold with a positive or negative slope, respectively. Signals are produced based on crossover events in the momentum oscillator that occur after a pullback, with the subsequent rise in volatility validating the trend continuation. A moving average-based trend filter further ensures that these signals align with the broader market direction.
While the individual components—volatility measures, momentum oscillators, and trend filters—are standard in technical analysis, their deliberate integration in this script results in a tool that is greater than the sum of its parts. Rather than merely merging indicators, this system is crafted to filter out false signals and clearly differentiate between temporary consolidations and genuine trend continuations. By providing a holistic view of market behavior, it offers traders actionable insight into when a pullback is simply a pause before the trend resumes.
How to Use
Traders should monitor the chart for opportunity signals. These signals indicate that a consolidation phase is ending and that the overall trend is likely to continue. Adjust the volatility parameters as needed to suit your market or timeframe, and use these signals in conjunction with other technical analysis tools to confirm optimal entry and exit points.
Disclaimer
This indicator is for educational purposes only and is intended to support your trading strategy. It does not guarantee performance, and past results are not indicative of future outcomes. Always use proper risk management and perform your own analysis before trading.
