Red & Green Zone ReversalOverview
The “Red & Green Zone Reversal” indicator is designed to visually highlight potential reversal zones on your chart by using a combination of Bollinger Bands and the Relative Strength Index (RSI).
It overlays on the chart and provides background color cues—red for oversold conditions and green for overbought conditions—along with corresponding alert triggers.
Key Components
Overlay: The indicator is set to overlay the chart, meaning its visual cues (colored backgrounds) are drawn directly on the price chart.
Bollinger Bands Calculation
Period: A 20-period simple moving average (SMA) is calculated from the closing prices.
Standard Deviation Multiplier: A multiplier of 2.0 is applied.
Bands Defined:
Basis: The 20-period SMA.
Deviation: Calculated as 2 times the standard deviation over the same period.
Upper Band: Basis plus the deviation.
Lower Band: Basis minus the deviation.
RSI Calculation
Period: The RSI is computed over a 14-period span using the closing prices.
Thresholds:
Oversold Threshold: 30 (used for the red zone condition).
Overbought Threshold: 70 (used for the green zone condition).
Zone Conditions
Red Zone (Oversold):
Criteria: The price is below the lower Bollinger Band and the RSI is below 30.
Purpose: Highlights a situation where the asset may be deeply oversold, signaling a potential reversal to the upside.
Green Zone (Overbought):
Criteria: The price is above the upper Bollinger Band and the RSI is above 70.
Purpose: Indicates that the asset may be overbought, potentially signaling a reversal to the downside.
Visual and Alert Components
Background Coloring:
Red Background: Applied when the red zone condition is met (using a semi-transparent red).
Green Background: Applied when the green zone condition is met (using a semi-transparent green).
Alerts:
Red Alert: An alert condition titled “Deep Oversold Alert” is triggered with the message “Deep Oversold Signal triggered!” when the red zone criteria are satisfied.
Green Alert: Similarly, an alert condition titled “Deep Overbought Alert” is triggered with the message “Deep Overbought Signal triggered!” when the green zone criteria are met.
Important Disclaimers
Not Financial Advice:
This indicator is provided for informational and analytical purposes only. It does not constitute trading advice or a recommendation to buy or sell any asset. Traders should use it as one of several tools in their analysis and should perform their own due diligence.
Risk Management:
Trading inherently involves risk. Past performance is not indicative of future results. Always implement appropriate risk management and use stop losses where necessary.
Summary
In summary, the “Red & Green Zone Reversal” indicator uses Bollinger Bands and RSI to detect extreme market conditions. It visually marks oversold (red) and overbought (green) conditions directly on the chart and offers alert conditions to help traders monitor these potential reversal points.
Enjoy!!
震盪指標
Triple Timeframe Stochastic Oscillator (Averaged)This custom Triple Timeframe Stochastic Oscillator indicator combines stochastic calculations from three user-defined timeframes into a single view, averaging the %K and %D lines for each timeframe to produce one representative line per timeframe. Users can manually set the timeframes (e.g., daily, weekly, monthly), as well as the length and smoothing periods for each stochastic calculation, providing flexibility for multi-timeframe analysis. The indicator plots three distinct lines in red, blue, and green, with overbought (80) and oversold (20) levels marked, helping traders identify momentum and potential reversal points across different time perspectives.
Timeframe 1: Red
Timeframe 2: Blue
Timeframe 3: Green
[GYTS] FiltersToolkit LibraryFiltersToolkit Library
🌸 Part of GoemonYae Trading System (GYTS) 🌸
🌸 --------- 1. INTRODUCTION --------- 🌸
💮 What Does This Library Contain?
This library is a curated collection of high-performance digital signal processing (DSP) filters and auxiliary functions designed specifically for financial time series analysis. It includes a shortlist of our favourite and best performing filters — each rigorously tested and selected for their responsiveness, minimal lag and robustness in diverse market conditions. These tools form an integral part of the GoemonYae Trading System (GYTS), chosen for their unique characteristics in handling market data.
The library contains two main categories:
1. Smoothing filters (low-pass filters and moving averages) for e.g. denoising, trend following
2. Detrending tools (high-pass and band-pass filters, known as "oscillators") for e.g. mean reversion
This collection is finely tuned for practical trading applications and is therefore not meant to be exhaustive. However, will continue to expand as we discover and validate new filtering techniques. I welcome collaboration and suggestions for novel approaches.
🌸 ——— 2. ADDED VALUE ——— 🌸
💮 Unified syntax and comprehensive documentation
The FiltersToolkit Library brings together a wide array of valuable filters under a unified, intuitive syntax. Each function is thoroughly documented, with clear explanations and academic sources that underline the mathematical rigour behind the methods. This level of documentation not only facilitates integration into trading strategies but also helps underlying the underlying concepts and rationale.
💮 Optimised performance and readability
The code prioritizes computational efficiency while maintaining readability. Key optimizations include:
- Minimizing redundant calculations in recursive filters
- Smart coefficient caching
- Efficient state management
- Vectorized operations where applicable
💮 Enhanced functionality and flexibility
Some filters in this library introduce extended functionality beyond the original publications. For instance, the MESA Adaptive Moving Average (MAMA) and Ehlers’ Combined Bandpass Filter incorporate multiple variations found in the literature, thereby providing traders with flexible tools that can be fine-tuned to different market conditions.
🌸 ——— 3. THE FILTERS ——— 🌸
💮 Hilbert Transform Function
This function implements the Hilbert Transform as utilised by John Ehlers. It converts a real-valued time series into its analytic signal, enabling the extraction of instantaneous phase and frequency information—an essential step in adaptive filtering.
Source: John Ehlers - "Rocket Science for Traders" (2001), "TASC 2001 V. 19:9", "Cybernetic Analysis for Stocks and Futures" (2004)
💮 Homodyne Discriminator
By leveraging the Hilbert Transform, this function computes the dominant cycle period through a Homodyne Discriminator. It extracts the in-phase and quadrature components of the signal, facilitating a robust estimation of the underlying cycle characteristics.
Source: John Ehlers - "Rocket Science for Traders" (2001), "TASC 2001 V. 19:9", "Cybernetic Analysis for Stocks and Futures" (2004)
💮 MESA Adaptive Moving Average (MAMA)
An advanced dual-stage adaptive moving average, this function outputs both the MAMA and its companion FAMA. It combines adaptive alpha computation with elements from Kaufman’s Adaptive Moving Average (KAMA) to provide a responsive and reliable trend indicator.
Source: John Ehlers - "Rocket Science for Traders" (2001), "TASC 2001 V. 19:9", "Cybernetic Analysis for Stocks and Futures" (2004)
💮 BiQuad Filters
A family of second-order recursive filters offering exceptional control over frequency response:
- High-pass filter for detrending
- Low-pass filter for smooth trend following
- Band-pass filter for cycle isolation
The quality factor (Q) parameter allows fine-tuning of the resonance characteristics, making these filters highly adaptable to different market conditions.
Source: Robert Bristow-Johnson's Audio EQ Cookbook, implemented by @The_Peaceful_Lizard
💮 Relative Vigor Index (RVI)
This filter evaluates the strength of a trend by comparing the closing price to the trading range. Operating similarly to a band-pass filter, the RVI provides insights into market momentum and potential reversals.
Source: John Ehlers – “Cybernetic Analysis for Stocks and Futures” (2004)
💮 Cyber Cycle
The Cyber Cycle filter emphasises market cycles by smoothing out noise and highlighting the dominant cyclical behaviour. It is particularly useful for detecting trend reversals and cyclical patterns in the price data.
Source: John Ehlers – “Cybernetic Analysis for Stocks and Futures” (2004)
💮 Butterworth High Pass Filter
Inspired by the classical Butterworth design, this filter achieves a maximally flat magnitude response in the passband while effectively removing low-frequency trends. Its design minimises phase distortion, which is vital for accurate signal interpretation.
Source: John Ehlers – “Cybernetic Analysis for Stocks and Futures” (2004)
💮 2-Pole SuperSmoother
Employing a two-pole design, the SuperSmoother filter reduces high-frequency noise with minimal lag. It is engineered to preserve trend integrity while offering a smooth output even in noisy market conditions.
Source: John Ehlers – “Cybernetic Analysis for Stocks and Futures” (2004)
💮 3-Pole SuperSmoother
An extension of the 2-pole design, the 3-pole SuperSmoother further attenuates high-frequency noise. Its additional pole delivers enhanced smoothing at the cost of slightly increased lag.
Source: John Ehlers – “Cybernetic Analysis for Stocks and Futures” (2004)
💮 Adaptive Directional Volatility Moving Average (ADXVma)
This adaptive moving average adjusts its smoothing factor based on directional volatility. By combining true range and directional movement measurements, it remains exceptionally flat during ranging markets and responsive during directional moves.
Source: Various implementations across platforms, unified and optimized
💮 Ehlers Combined Bandpass Filter with Automated Gain Control (AGC)
This sophisticated filter merges a highpass pre-processing stage with a bandpass filter. An integrated Automated Gain Control normalises the output to a consistent range, while offering both regular and truncated recursive formulations to manage lag.
Source: John F. Ehlers – “Truncated Indicators” (2020), “Cycle Analytics for Traders” (2013)
💮 Voss Predictive Filter
A forward-looking filter that predicts future values of a band-limited signal in real time. By utilising multiple time-delayed feedback terms, it provides anticipatory coupling and delivers a short-term predictive signal.
Source: John Ehlers - "A Peek Into The Future" (TASC 2019-08)
💮 Adaptive Autonomous Recursive Moving Average (A2RMA)
This filter dynamically adjusts its smoothing through an adaptive mechanism based on an efficiency ratio and a dynamic threshold. A double application of an adaptive moving average ensures both responsiveness and stability in volatile and ranging markets alike. Very flat response when properly tuned.
Source: @alexgrover (2019)
💮 Ultimate Smoother (2-Pole)
The Ultimate Smoother filter is engineered to achieve near-zero lag in its passband by subtracting a high-pass response from an all-pass response. This creates a filter that maintains signal fidelity at low frequencies while effectively filtering higher frequencies at the expense of slight overshooting.
Source: John Ehlers - TASC 2024-04 "The Ultimate Smoother"
Note: This library is actively maintained and enhanced. Suggestions for additional filters or improvements are welcome through the usual channels. The source code contains a list of tested filters that did not make it into the curated collection.
RSI Profit SniperDescription of the "RSI Profit Sniper" Indicator - t.me/ProfitISniper
The "RSI Profit Sniper" indicator is a trading tool based on the Relative Strength Index (RSI) that helps traders identify potential entry and exit points in financial markets. This indicator uses overbought and oversold conditions to generate buy and sell signals. Below is a detailed breakdown of its functionality.
Key Components of the Indicator:
RSI (Relative Strength Index):
RSI is an oscillator that measures the speed and magnitude of price movements over a specified period.
RSI values range from 0 to 100.
It is commonly used to detect overbought and oversold conditions of an asset.
Configuration Parameters:
RSI Length:
The user can set the number of bars (periods) for RSI calculation. The default value is 14.
Upper Threshold (Overbought Level):
The level above which the asset is considered overbought. The default value is 70.
Lower Threshold (Oversold Level):
The level below which the asset is considered oversold. The default value is 30.
How the Indicator Works:
RSI Calculation:
The indicator calculates the RSI value for each bar based on the specified period (rsiLength).
Signal Generation:
Buy Signal:
Triggered when the RSI line crosses the oversold level (lowerThreshold) from below. This indicates that the asset may be undervalued and ready for an upward move.
Sell Signal:
Triggered when the RSI line crosses the overbought level (upperThreshold) from above. This indicates that the asset may be overvalued and ready for a correction.
Signal Visualization:
Buy Signal: Displayed as a green label with the text "BUY" below the price chart.
Sell Signal: Displayed as a red label with the text "SELL" above the price chart.
Alerts:
The indicator provides three types of alerts:
BUY Alert: Triggered when a buy signal appears.
SELL Alert: Triggered when a sell signal appears.
General Alert: Triggered for any signal (buy or sell).
How to Use the Indicator:
Parameter Adjustment:
Traders can adjust the RSI period, overbought, and oversold levels according to market conditions and their trading strategy.
Analyzing Signals:
When a buy signal ("BUY") appears, traders can consider opening a long position.
When a sell signal ("SELL") appears, traders can consider closing a long position or opening a short one.
Filtering False Signals:
Although RSI is a powerful tool, it can produce false signals, especially in highly volatile or trending markets.
It is recommended to use additional indicators or analysis methods (e.g., trend lines, volume, candlestick patterns) to confirm signals.
Advantages of the Indicator:
Ease of Use: The indicator provides clear buy and sell signals.
Customizability: Users can tailor parameters to suit their preferences and trading conditions.
Automation: The ability to set up alerts allows traders to receive notifications about signals even outside trading hours.
Limitations of the Indicator:
False Signals: In sideways or strongly trending markets, RSI may generate many false signals.
Lagging Nature: Since RSI is based on historical data, it may lag behind changes in market conditions.
Need for Filtering: To improve accuracy, it is advisable to combine its use with other analysis tools.
Conclusion:
The "RSI Profit Sniper" indicator is a valuable tool for traders seeking a simple and effective way to identify potential entry and exit points based on overbought and oversold conditions. However, it is important to remember that no indicator guarantees 100% accuracy. Therefore, it is recommended to combine its use with other analysis methods to make informed decisions.
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Описание индикатора "RSI Profit Sniper" - t.me/ProfitISniper
Индикатор "RSI Profit Sniper" представляет собой торговый инструмент, основанный на индексе относительной силы (RSI), который помогает трейдерам определять потенциальные точки входа и выхода на финансовых рынках. Этот индикатор использует перекупленность и перепроданность актива для генерации сигналов о покупке и продаже. Давайте рассмотрим его функционал подробно.
Основные компоненты индикатора:
RSI (Relative Strength Index):
RSI — это осциллятор, который измеряет скорость и изменение ценового движения за заданный период времени.
Значения RSI колеблются в диапазоне от 0 до 100.
Обычно используется для выявления состояний перекупленности и перепроданности актива.
Параметры конфигурации:
RSI Length (Длина периода RSI):
Пользователь может настроить количество баров (периодов) для расчета RSI. По умолчанию установлено значение 14.
Upper Threshold (Уровень перекупленности):
Уровень, выше которого актив считается перекупленным. По умолчанию установлено значение 70.
Lower Threshold (Уровень перепроданности):
Уровень, ниже которого актив считается перепроданным. По умолчанию установлено значение 30.
Логика работы индикатора:
Расчет RSI:
Индикатор вычисляет значение RSI для каждого бара на основе указанного периода (rsiLength).
Генерация сигналов:
Buy Signal (Сигнал на покупку):
Срабатывает, когда линия RSI пересекает уровень перепроданности (lowerThreshold) снизу вверх. Это указывает на то, что актив может быть недооценен и готов к росту.
Sell Signal (Сигнал на продажу):
Срабатывает, когда линия RSI пересекает уровень перекупленности (upperThreshold) сверху вниз. Это указывает на то, что актив может быть переоценен и готов к коррекции.
Визуализация сигналов:
Buy Signal: Отображается как зеленая метка с текстом "BUY" под ценовым графиком.
Sell Signal: Отображается как красная метка с текстом "SELL" над ценовым графиком.
Оповещения:
Индикатор предоставляет три типа оповещений:
BUY Alert: Срабатывает при появлении сигнала на покупку.
SELL Alert: Срабатывает при появлении сигнала на продажу.
General Alert: Срабатывает при любом сигнале (покупка или продажа).
Как использовать индикатор:
Настройка параметров:
Трейдер может настроить период RSI, а также уровни перекупленности и перепроданности в зависимости от рыночных условий и стратегии торговли.
Анализ сигналов:
Когда появляется сигнал на покупку ("BUY"), трейдер может рассматривать возможность открытия длинной позиции.
Когда появляется сигнал на продажу ("SELL"), трейдер может рассматривать возможность закрытия длинной позиции или открытия короткой.
Фильтрация ложных сигналов:
Хотя RSI является мощным инструментом, он может давать ложные сигналы, особенно в условиях высокой волатильности или трендового движения.
Рекомендуется использовать дополнительные индикаторы или методы анализа (например, трендовые линии, объемы, свечные модели) для подтверждения сигналов.
Преимущества индикатора:
Простота использования: Индикатор предоставляет четкие сигналы на покупку и продажу.
Настраиваемость: Пользователь может адаптировать параметры под свои предпочтения и условия торговли.
Автоматизация: Возможность настройки оповещений позволяет получать уведомления о сигналах даже вне рабочего времени.
Ограничения индикатора:
Ложные сигналы: В условиях флэтового рынка или сильных трендов RSI может давать много ложных сигналов.
Задержка: Поскольку RSI основан на исторических данных, он может запаздывать при изменении рыночной ситуации.
Необходимость фильтрации: Для повышения точности рекомендуется использовать дополнительные инструменты анализа.
Заключение:
Индикатор "RSI Profit Sniper" является полезным инструментом для трейдеров, которые ищут простой и эффективный способ определения потенциальных точек входа и выхода на основе состояния перекупленности и перепроданности актива. Однако важно помнить, что никакой индикатор не гарантирует 100% точности, поэтому рекомендуется сочетать его использование с другими методами анализа для принятия обоснованных решений.
RSIxBB Crossover With Immediate Imbalance Strategy [LuciTech]Credit:
@badninja for Engulfing Imbalance -
@veryfid for ATR SL -
strategy that integrates RSI crossovers with Bollinger Bands, engulfing candle patterns, and immediate imbalance detection to generate precise trade signals. It overlays entry, stop-loss, and take-profit levels on the chart, featuring customizable risk management and an optional time filter. Tailored for traders seeking momentum-driven entries with structured risk-reward outcomes, it operates across any timeframe and provides clear visual cues for trade execution.
Features
The strategy combines RSI (14-period) crossovers with Bollinger Bands (34-period SMA, 2.0 deviation) applied to RSI, alongside engulfing candle patterns, to pinpoint trade entries. It detects bullish engulfing candles after an RSI cross below the lower band and bearish engulfing candles after a cross above the upper band, ensuring momentum alignment. Risk management includes adjustable risk percentage, risk-reward ratios, and stop-loss options (ATR-based or candle-based), with position sizing tied to equity risk. An optional time filter restricts trades to a user-defined window, highlighted with a background fill. Visual elements include plotted entry, stop-loss, and take-profit lines with customizable colours, plus shaded areas between levels for clarity.
How It Works
Trades are triggered by RSI crossing Bollinger Bands followed by an engulfing candle pattern. A long entry occurs with a bullish engulfing candle after RSI crosses below the lower band, requiring a positive close, while a short entry follows a bearish engulfing candle after RSI crosses above the upper band, requiring a negative close. Position size is calculated from a percentage of equity (default 1%) and stop-loss distance. Stop-loss can be ATR-based (smoothed via RMA, SMA, EMA, or WMA) or candle-based (using the candle’s low/high), adjustable by multiplier or length. Take-profit is set by multiplying the stop-loss distance by the risk-reward ratio (default 3:1). If enabled, the time filter limits trades to the specified window, with visuals updating only for active positions.
Settings
Risk management settings include Risk % (default 1%) for equity risked per trade, Risk:Reward (default 3) for target profit relative to risk, and Stop Loss Type (ATR or Candle) for loss calculation. ATR settings offer ATR Length (default 14), ATR Multiplier (default 1.5), and Smoothing (RMA, SMA, EMA, WMA), with an option to show ATR lines. Candle-based stop-loss uses Candle Length (default 0, meaning 1 candle). Position colours allow customization of Entry/SL/TP lines (default grey, red, green). Time filter settings include Enable Time Filter (default false), Start Hour/Minute (default 14:30), End Hour/Minute (default 15:00), and Fill Background with a custom colour (default grey).
Interpretation
RSI crossovers with Bollinger Bands signal momentum shifts, confirmed by engulfing candles, indicating potential entry points. Stop-loss levels (ATR or candle-based) define risk, while take-profit targets align with the risk-reward ratio, offering a structured exit plan. Shaded areas between entry and stop-loss/take-profit visualize risk and reward zones. ATR lines, if enabled, highlight dynamic stop levels based on volatility. The time filter, when active, focuses trading within key hours, with the background fill emphasizing the active range, making this strategy ideal for disciplined, momentum-focused trading.
AlphaFlow: Oscillator Panel📊 AlphaFlow: Oscillator Panel – For Dummies 🚀
(The Hip-Hop Casino Guide to Momentum 🎲💰)
📌 What is the AlphaFlow Oscillator?
The AlphaFlow Oscillator Panel is a momentum + trend strength tool that helps confirm Smart Money moves by showing how strong the trend is under the hood.
💡 Biggest Trades Happen When AlphaFlow SMTS & Oscillator Align! 💎
🎨 What Do All These Lines & Colors Mean?
📊 Main Oscillator Lines (Momentum & Strength)
🟢 Green Line (Fast WaveTrend - WT1) → Measures short-term price momentum
🔴 Red Line (Slow WaveTrend - WT2) → Measures longer-term price momentum
📉 If Green Crosses Above Red → Bullish Reversal 🚀
📈 If Green Crosses Below Red → Bearish Reversal 🔻
📊 Supporting Strength Indicators
🔵 Blue Line = RSI Strength (Shows if the market is overbought/oversold)
🟠 Orange Line = MACD Hybrid (Tracks momentum & trend confirmation)
💧 Aqua Line = Normalized OBV (On-Balance Volume) (Measures smart money volume flow)
💡 When RSI + MACD + OBV agree with WaveTrend → Jackpot Conditions 🎰💰
🟥🟩 Reference Lines (Levels to Watch)
📌 These help you see if the market is overbought or oversold.
🟥 Red Line at 53 = WaveTrend Overbought (Watch for reversals down)
🟩 Green Line at -53 = WaveTrend Oversold (Watch for reversals up)
🔵 Blue Lines at 70 & 30 = RSI Overbought/Oversold
🟠 Orange Line at 0 = Neutral Baseline (Midpoint for momentum shifts)
💡 If WT1 & WT2 cross in an overbought/oversold zone → BIG move coming!
🎯 Buy/Sell Signals & Jackpot Diamonds
📌 Basic WaveTrend Signals
✅ Green "X" = Buy Signal (WT1 crosses WT2 bullish)
❌ Red "X" = Sell Signal (WT1 crosses WT2 bearish)
💎 Jackpot Signals (Biggest Trades)
💎 Green Diamond ABOVE the Oscillator → High-Probability SHORT
💎 Green Diamond BELOW the Oscillator → High-Probability LONG
🔹 Jackpot conditions require: 1️⃣ WT1 & WT2 Cross
2️⃣ RSI > 50 for Bullish / RSI < 50 for Bearish
3️⃣ MACD & OBV confirm the trend
🎯 Example: If WT1 crosses WT2 bullish + RSI > 50 + MACD positive → 💎 Jackpot Buy
🚀 How To Use the Oscillator Panel with Smart Money Trend System
1️⃣ Load “AlphaFlow: Smart Money Trend System” on your price chart
2️⃣ Load “AlphaFlow: Oscillator Panel” below your chart
3️⃣ Watch for signals to match up!
4️⃣ Biggest Trades? When Smart Money zones + momentum align = Jackpot 🎰💰
🎲 Casino Rules – Biggest Dummy Edition 🎰
❌ Don’t trade every WT1/WT2 cross! Wait for confluence.
🔥 The more indicators confirm, the stronger the trade.
📊 Reference lines tell you if the move is strong or weak.
⚠️ Jackpot doesn’t mean 100% win rate – Manage risk!
🔥 🚀
RSI SMA Cross Sell SignalRSI (14) is less than the SMA 50 of the RSI (14) and the SMA 9 of the RSI (14) crosses below the RSI (14). The sell signal will be displayed on the chart.
AlphaFlow: Smart Money Trend System (SMTS)📖 AlphaFlow User Guide – For Dummies 🚀
(A Hip-Hop Version of the Casino Guidelines 🎲💰)
📌 What is AlphaFlow?
💎 AlphaFlow: Smart Money Trend System (SMTS) and AlphaFlow: Oscillator Panel are two indicators that work together to spot market confluence and give you Jackpot signals 🎰💰 when high-probability setups align.
🟥🟩🟨 What Do All These Lines & Signals Mean?
💰 AlphaFlow: Smart Money Trend System (SMTS) – (On the Price Chart)
🟥 Red Line = Liquidity High Zone → This is where big money takes profits or places shorts. Watch for rejection here!
🟩 Green Line = Liquidity Low Zone → This is where smart money buys dips. If price bounces, bulls are back.
🟨 Yellow Line = VWAP Trend → The Volume-Weighted Average Price. If price is above VWAP, bulls are in control. Below? Bears got the juice.
📊 AlphaFlow: Oscillator Panel – (Below the Chart)
🟢 Green WaveTrend Line = Fast Momentum
🔴 Red WaveTrend Line = Slow Momentum
🔵 Blue Line = RSI Strength
🟠 Orange Line = MACD Hybrid
📉 📈 Crossover of Green/Red Lines = Trend Reversal Coming!
🎯 Buy/Sell Signals & Jackpot Alerts
📌 Basic Buy/Sell Signals
✅ Green “X” Below Candles = BUY Signal (Price crosses above VWAP)
❌ Red “X” Above Candles = SELL Signal (Price crosses below VWAP)
💎 Jackpot Signals (When EVERYTHING Aligns)
💎 Green Diamond ABOVE the Price → High-probability SHORT
💎 Green Diamond BELOW the Price → High-probability LONG
🔹 Jackpot conditions require: 1️⃣ Buy/Sell Signal MUST happen at Liquidity Zones
2️⃣ WaveTrend Cross + RSI Strength + MACD in Sync
3️⃣ OBV (Volume) supports the move
🎯 Example: If price hits liquidity low (Green Line) + WaveTrend flips bullish + RSI confirms → 💎 Jackpot Buy
🚀 How To Use Both Indicators Together
1️⃣ Load “AlphaFlow: Smart Money Trend System” on your price chart
2️⃣ Load “AlphaFlow: Oscillator Panel” below your chart
3️⃣ Watch for signals to match up!
4️⃣ Biggest Trades? When everything aligns = Jackpot 🎰💰
🎲 Casino Rules – Biggest Dummy Edition 🎰
❌ Don’t trade every signal! WAIT for confluence.
🔥 The more signals align, the stronger the trade.
📊 Liquidity Zones tell you WHERE big money moves.
⚠️ Jackpot doesn’t mean 100% win rate – Manage risk!
🔥 🚀
YOYOKE FEB 2025YOYOKE Indicator is a technical analysis tool used in trading to measure the relative strength of a financial asset. It is a modified version of the standard Relative Strength Index (RSI), featuring color-coded signals to indicate different market conditions, such as overbought, oversold, or neutral zones. The color changes help traders quickly interpret RSI trends and make informed trading decisions.
BUY Signal with Williams %R, CMA, and ResetИндикатор предназначен для поиска сигналов на покупку ("BUY") и набора позиции на основе следующих условий:
Пересечение индикатора Williams %R уровня -80 снизу вверх.
Текущая цена закрытия находится ниже значения Cumulative Moving Average (CMA).
Текущая цена должна быть ниже цены предыдущей метки "BUY" (условие последовательного снижения).
Если цена закрытия становится выше CMA, значение последней метки "BUY" сбрасывается.
На каждой метке "BUY" отображается значение цены.
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The indicator is designed to search for buy signals ("BUY") and set a position based on the following conditions:
The Williams %R indicator crosses the -80 level from bottom to top.
The current closing price is below the Cumulative Moving Average (EMA) value.
The current price must be lower than the price of the previous "BUY" label (the condition for a sequential decrease).
If the closing price becomes higher than the CMA, the value of the last "BUY" label is reset.
The price value is displayed on each "BUY" label.
US30-5min-Low RiskRisk 0.5% per position
SL @ 50 MA
T SL @ 1/2 way to TP
Uses KST and RSI for long/short signal
RSI Required for Bullish => 55
RSI Required for Bearish =< 45
21/50 MA verifying trend
Adjustable settings used in 90 day BT
Margin for long 52%
Margin for short 41%
Pyramiding 3
Would love some feedback and to convert to EA for use with MatchTrade?
RSI (Basis at 0)This script is a modified version of the default RSI, adjusted to oscillate around 0 instead of 50, with a range spanning from -100 to 100. This transformation ensures better alignment with other indicators that use a zero-centered scale, making it ideal for comparative analysis and overlaying on complementary indicators.
BBWP + Stochastic with DivergencesBased on Eric Krown crypto course, on Crypto School. It plots the Bollinger Bands width percentile alongside Stochastic. This is good for gaging volatility and momentum, to be used on a trending motion strategy.
ADX Meter OverlayThe ADX Meter Overlay is a trend strength visualization tool that colors candles based on the ADX (Average Directional Index). This indicator helps traders easily identify when the market is trending strongly versus when it is weak or ranging.
🔹 How It Works:
✔️ ADX Measures Trend Strength: The ADX does not indicate trend direction—only trend intensity.
✔️ Candle Colors Change Based on ADX:
Green candles = Strong Uptrend (ADX above threshold, bullish momentum).
Red candles = Strong Downtrend (ADX above threshold, bearish momentum).
Blue candles = Weak Uptrend / Choppy Market (ADX below threshold).
Orange candles = Weak Downtrend / Choppy Market (ADX below threshold).
✔️ Alerts when ADX Crosses Above/Below Threshold: Notifies traders when trend conditions change.
📊 Trading Strategy Based on ADX Meter
📌 Best Timeframes:
Scalping: 1M, 5M
Day Trading: 15M, 1H
Swing Trading: 4H, 1D
📌 Best Markets:
Forex, Crypto, Stocks, Commodities
✅ Entry Rules (Buying/Long Trade)
🔹 Look for Green Candles:
ADX above threshold (Strong Trend).
Price making higher highs & higher lows.
Combine with a 50 EMA or 200 EMA for confirmation.
❌ Exit Rules (Closing a Long Trade)
🔹 If ADX drops below threshold (candle turns blue/orange) → Exit or reduce position.
🔹 If price crosses below 50 EMA → Trend is reversing, consider exiting.
📉 Entry Rules (Selling/Short Trade)
🔹 Look for Red Candles:
ADX above threshold (Strong Trend).
Price making lower highs & lower lows.
Combine with a Moving Average or RSI for extra confirmation.
❌ Exit Rules (Closing a Short Trade)
🔹 If ADX drops below threshold (candle turns blue/orange) → Exit or reduce position.
🔹 If price crosses above 50 EMA → Trend reversal likely, exit short.
📌 Why Use the ADX Meter?
✔️ Quickly spot strong trends vs weak/ranging markets.
✔️ Avoid false breakouts & low-momentum trades.
✔️ Works with any trading strategy – Combine with RSI, MACD, or Moving Averages.
🔥 Next Steps:
📌 Add the ADX Meter Overlay to your chart and test it on different assets & timeframes.
REVOLD-TECH-ANALYZER with Buy/Sell Signals
🔍 Overview:
This Pine Script v5 indicator is designed to provide accurate Buy/Sell signals based on multiple technical analysis indicators. It combines trend-following, momentum, volume analysis, and candlestick patterns to filter out false signals and provide reliable trade opportunities.
📊 Features:
Moving Averages:
Simple Moving Average (SMA) – Basic trend indicator.
Exponential Moving Average (EMA) – Reacts faster to price changes.
Volume-Weighted Moving Average (VWMA) – Confirms trend strength based on volume.
MACD (Moving Average Convergence Divergence):
Used to determine trend momentum.
Buy signals occur when MACD Line crosses above the Signal Line.
Sell signals occur when MACD Line crosses below the Signal Line.
Ichimoku Cloud:
Conversion Line & Base Line are used for additional trend confirmation.
Lead Lines 1 & 2 form the Ichimoku cloud (Kumo) for identifying key resistance and support zones.
Bollinger Bands:
Helps identify overbought and oversold conditions.
Buy when price is near lower band.
Sell when price is near upper band.
Candlestick Pattern Detection (Engulfing Patterns):
Bullish Engulfing: Strong reversal signal in an uptrend.
Bearish Engulfing: Indicates a potential downward reversal.
Volume Confirmation:
Engulfing patterns are only validated when volume increases, reducing false signals.
🚀 How the Buy/Sell Signals Work:
✅ Buy Signal:
EMA crosses above SMA.
MACD histogram is positive.
Price is above VWMA (confirming trend strength).
OR a Bullish Engulfing pattern occurs with high volume.
❌ Sell Signal:
EMA crosses below SMA.
MACD histogram is negative.
Price is below VWMA (confirming trend weakness).
OR a Bearish Engulfing pattern occurs with high volume.
📈 Visualization:
Buy Signals: Green "BUY" labels appear below bars.
Sell Signals: Red "SELL" labels appear above bars.
Buy Zone: Background turns light green when a buy signal is active.
Sell Zone: Background turns light red when a sell signal is active.
Trend Lines: SMA, EMA, VWMA, MACD, and Ichimoku Cloud are plotted for better trend identification.
🛠️ Customization:
All indicator lengths (SMA, EMA, VWMA, MACD, Ichimoku, Bollinger Bands) can be adjusted via input settings.
Buy/Sell conditions are adaptable by modifying pattern validation, MACD settings, or volume thresholds.
🎯 Use Case:
Day traders & Swing traders: Identifies optimal entry & exit points.
Long-term investors: Helps in trend identification and risk management.
Scalpers: Can be used on lower timeframes by tweaking settings.
🔥 Conclusion:
This REVOLD-TECH-ANALYZER script provides an all-in-one trading system, combining trend, momentum, volume, and candlestick pattern analysis to generate high-confidence Buy/Sell signals. 🚀
RSI Alerts – Live & ConfirmedThe RSI Alerts – Live & Confirmed indicator enhances the traditional Relative Strength Index (RSI) by providing real-time alerts and confirmed breakout signals when RSI reaches key levels. It also features a dynamic RSI line color change for better visualization.
Key Features:
✅ Live & Confirmed Alerts:
Live Alert Mode: Triggers when RSI touches overbought (70) or oversold (30).
Confirmed Alert Mode: Triggers only when RSI closes above/below these levels, reducing false signals.
✅ Dynamic RSI Line Coloring:
Above 70: RSI turns green, indicating an overbought condition.
Below 30: RSI turns red, indicating an oversold condition.
Between 30 and 70: RSI remains blue, its normal color, ensuring no color leaks into invalid zones.
✅ Customizable RSI Settings:
Adjustable RSI length, overbought/oversold levels, and alert preferences.
Mid-Level (50) line for trend bias reference.
This indicator is perfect for traders who rely on RSI signals and want clear visual cues and real-time alerts for improved decision-making.
RSI/Stochastic With Real Time Candle OverlayThis indicator provides an alternative way to visualize either RSI or Stochastic values by representing them as candle bars in real time, allowing a more detailed view of momentum shifts within each bar. By default, it displays the standard historical plot of the chosen oscillator in the background, but once you are receiving real-time data (or if you keep your chart open through the close), it begins overlaying candles that track the oscillator’s intrabar movements. These candles only exist for as long as the chart remains open; if you refresh or load the chart anew, there is no stored candle history, although the standard RSI or Stochastic line is still fully retained. These candles offer insight into short-term fluctuations that are otherwise hidden when viewing a single line for RSI or Stochastic.
In the settings, there is an option to switch between standard candlesticks and Heiken Ashi. When Heiken Ashi is selected, the indicator uses the Heiken Ashi close once it updates in real time, producing a smoothed view of intrabar price movement for the oscillator. This can help identify trends in RSI or Stochastic by making it easier to spot subtle changes in direction, though some may prefer the unmodified values that come from using regular candles. The combination of these candle styles with an oscillator’s output offers flexibility for different analytical preferences.
Traders who use RSI or Stochastic often focus on entry and exit signals derived from crossing certain thresholds, but they are usually limited to a single reading per bar. With this tool, it becomes possible to watch how the oscillator’s value evolves within the bar itself, which can be especially useful for shorter timeframes or for those who prefer a more granular look at momentum shifts. The visual separation between bullish and bearish candle bodies within the indicator can highlight sudden reversals or confirm ongoing trends in the oscillator, aiding in more precise decision-making. Because the candle overlay is cleared as soon as the bar closes, the chart remains uncluttered when scrolling through historical data, ensuring that only the necessary real-time candle information is displayed.
Overall, this indicator is intended for users who wish to track intrabar changes in RSI or Stochastic, with the added choice of standard or Heiken Ashi candle representation. The real-time candle overlay clarifies short-lived fluctuations, while the standard line plots maintain the usual clarity of past data. This approach can be beneficial for those who want deeper insights into how oscillator values develop in real time, without permanently altering the simplicity of the chart’s historical view.
RSI Classic calculationClassic RSI with Moving Average
This script implements the Classic RSI (Relative Strength Index) method with the option to use either an Exponential Moving Average (EMA) or a Simple Moving Average (SMA) for smoothing the gains and losses. This custom implementation primarily aims to resolve a specific issue I encountered when cross-referencing RSI values with Python-based data, which is calculated differently than in Pine Script. However, the methodology here can benefit anyone who needs to align RSI calculations across different programming languages or platforms.
The Problem:
When working with Python for data analysis, the RSI values are calculated differently. The smoothing method, for example, can vary—RMA (Relative Moving Average) may be used instead of SMA or EMA, resulting in discrepancies when comparing RSI values across systems. To solve this problem, this script allows for the same type of smoothing to be applied (EMA or SMA) as used in Python, ensuring consistency in the data.
Why This Implementation:
The main goal of this approach was to align RSI calculations across Python and Pine Script so that I could cross-check the results accurately. By offering both EMA and SMA options, this script bridges the gap between Pine Script and Python, ensuring that the data is comparable and consistent. While this particular issue arose from my work with Python, this solution is valuable for anyone dealing with cross-platform RSI comparisons in different coding languages or systems.
Benefits:
Cross-Platform Consistency: This script ensures that RSI values calculated in Pine Script are directly comparable to those from Python (or any other platform), which is crucial for accurate analysis, especially in automated trading systems.
Flexibility: The ability to choose between EMA and SMA provides flexibility in line with the specific needs of your strategy or data source.
Ease of Use: The RSI is plotted with overbought and oversold levels clearly marked, making it easy to visualize and use in decision-making processes.
Limitations:
Calculation Differences: While this script bridges the gap between Pine Script and Python, if you're working with a different platform or coding language that uses variations like RMA, small discrepancies may still arise.
Sensitivity Trade-Off: The choice between EMA and SMA impacts the sensitivity of the RSI. EMA responds quicker to recent price changes, which could lead to faster signals, while SMA provides a more stable but slower response.
Conclusion:
This Classic RSI script, with its customizable moving average type (EMA or SMA), not only solves the issue I faced with Python-based calculations but also provides a solution for anyone needing consistency across different programming languages and platforms. Whether you're working with Pine Script, Python, or other languages, this script ensures that your RSI values are aligned for more accurate cross-platform analysis. However, always be mindful of the small differences that can arise when different smoothing techniques (like RMA) are used in other systems.
Combined Stochastic, ADX & BreakoutOverview
This technical indicator combines three powerful technical analysis tools - Stochastic Oscillator, Average Directional Index (ADX), and Breakout detection - to identify potential trading opportunities on daily charts. The indicator is designed to identify strong trend movements with momentum confirmation.
TO BE USED ON DAILY CHART ONLY
made by @immortaltraderA
on twitter
Technical Components
1. Stochastic Settings (Fast Stochastic)
Period K: 8 periods
Smooth K: 1 period
Period D: 1 period
This creates a very responsive stochastic that reacts quickly to price changes
2. ADX Settings
ADX Length: 14 periods
DI Length: 14 periods
Key Level: 30 (threshold for trend strength)
3. Breakout Detection
Identifies price breakouts by comparing current high with previous highs
Breakout condition: Current high > Previous high AND Previous high < High two bars ago
Signal Conditions
High Signal (Short Setup)
Triggers when ALL conditions are met:
Stochastic: K < 41
ADX: > 30 (strong trend)
DI+: Greater than DI- (upward pressure)
Low Signal (Long Setup)
Triggers when ALL conditions are met:
Stochastic: K > 60
ADX: > 30 (strong trend)
DI-: Greater than DI+ (downward pressure)
Breakout Confirmation
Identified by yellow triangle (▲) below the bar
Condition: high > high and high < high
Visual Components
Signal Markers
High Signals
Blue triangle down above the bar
Marks potential short entries
Low Signals
Light blue triangle up below the bar
Marks potential long entries
Breakout Signals
Yellow triangle (▲) below the bar
Black text on yellow background
Size: Tiny
Alert Conditions
High Alert
Title: "Stochastic and ADX Conditions Met - High"
Message: "High of last bar marked - Stochastic < 41, ADX > 25, DI+ > DI-"
Low Alert
Title: "Stochastic and ADX Conditions Met - Low"
Message: "Low of last bar marked - Stochastic > 60, ADX > 30, DI- > DI+"
MACD+RSI Indicator Moving Average Convergence/Divergence or MACD is a momentum indicator that shows the relationship between two Exponential Moving Averages (EMAs) of a stock price. Convergence happens when two moving averages move toward one another, while divergence occurs when the moving averages move away from each other. This indicator also helps traders to know whether the stock is being extensively bought or sold. Its ability to identify and assess short-term price movements makes this indicator quite useful.
The Moving Average Convergence/Divergence indicator was invented by Gerald Appel in 1979.
Moving Average Convergence/Divergence is calculated using a 12-day EMA and 26-day EMA. It is important to note that both the EMAs are based on closing prices. The convergence and divergence (CD) values have to be calculated first. The CD value is calculated by subtracting the 26-day EMA from the 12-day EMA.
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The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a security's recent price changes to detect overbought or oversold conditions in the price of that security.
The RSI is displayed as an oscillator (a line graph) on a scale of zero to 100. The indicator was developed by J. Welles Wilder Jr. and introduced in his seminal 1978 book, New Concepts in Technical Trading Systems.
In addition to identifying overbought and oversold securities, the RSI can also indicate securities that may be primed for a trend reversal or a corrective pullback in price. It can signal when to buy and sell. Traditionally, an RSI reading of 70 or above indicates an overbought condition. A reading of 30 or below indicates an oversold condition.
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By combining them, you can create a MACD/RSI strategy. You can go ahead and search for MACD/RSI strategy on any social platform. It is so powerful that it is the most used indicator in TradingView. It is best for trending market. Our indicator literally let you customize MACD/RSI settings. Explore our indicator by applying to your chart and start trading now!
RSI DivergenceMade the rsi divergence appear on the candle.
Look at the indicators and enter long and short after the signal comes out
Make it easier to see by showing up in overlay.
Quantum Momentum FusionPurpose of the Indicator
"Quantum Momentum Fusion" aims to combine the strengths of RSI (Relative Strength Index) and Williams %R to create a hybrid momentum indicator tailored for volatile markets like crypto:
RSI: Measures the strength of price changes, great for understanding trend stability but can sometimes lag.
Williams %R: Assesses the position of the price relative to the highest and lowest levels over a period, offering faster responses but sensitive to noise.
Combination: By blending these two indicators with a weighted average (default 50%-50%), we achieve both speed and reliability.
Additionally, we use the indicator’s own SMA (Simple Moving Average) crossovers to filter out noise and generate more meaningful signals. The goal is to craft a simple yet effective tool, especially for short-term trading like scalping.
How Signals Are Generated
The indicator produces signals as follows:
Calculations:
RSI: Standard 14-period RSI based on closing prices.
Williams %R: Calculated over 14 periods using the highest high and lowest low, then normalized to a 0-100 scale.
Quantum Fusion: A weighted average of RSI and Williams %R (e.g., 50% RSI + 50% Williams %R).
Fusion SMA: 5-period Simple Moving Average of Quantum Fusion.
Signal Conditions:
Overbought Signal (Red Background):
Quantum Fusion crosses below Fusion SMA (indicating weakening momentum).
And Quantum Fusion is above 70 (in the overbought zone).
This is a sell signal.
Oversold Signal (Green Background):
Quantum Fusion crosses above Fusion SMA (indicating strengthening momentum).
And Quantum Fusion is below 30 (in the oversold zone).
This is a buy signal.
Filtering:
The background only changes color during crossovers, reducing “fake” signals.
The 70 and 30 thresholds ensure signals trigger only in extreme conditions.
On the chart:
Purple line: Quantum Fusion.
Yellow line: Fusion SMA.
Red background: Sell signal (overbought confirmation).
Green background: Buy signal (oversold confirmation).
Overall Assessment
This indicator can be a fast-reacting tool for scalping. However:
Volatility Warning: Sudden crypto pumps/dumps can disrupt signals.
Confirmation: Pair it with price action (candlestick patterns) or another indicator (e.g., volume) for validation.
Timeframe: Works best on 1-5 minute charts.
Suggested Settings for Long Timeframes
Here’s a practical configuration for, say, a 4-hour chart:
RSI Period: 20
Williams %R Period: 20
RSI Weight: 60%
Williams %R Weight: 40% (automatically calculated as 100 - RSI Weight)
SMA Period: 15
Overbought Level: 75
Oversold Level: 25