Correlated asset and Daye's Quarterly TheoryThis indicator is based on the Quarterly Theory concepts from Daye. You can find him mainly on X as traderdaye.
It works on a new panel and the quarters will be drawn over the chart of the correlated that you set on its settings.
You can use every asset to compare with the main one to make easier to find divergences between days, sessions and 90 minutes cycles.
In different timeframes, the indicator could show more or less information about quarters, but will always show the compared asset one. This is due to limitations of the candles start (for example, the Session's Q2 open won't be shown on an hourly chart because it starts after 30 minutes of candle's open).
What can this indicator do for you?
- Show the correlated asset chart.
- Show daily, session and 90 minutes cycle boxes.
- Show Midnight and every session's Q2 open.
- Make easier for the trained eye to determine if the model is AMDX or XAMD, find PO3, turtle soups, SMT divergences, etc.
Do you have any suggestion? Please, leave it on the comments. I'll try to improve this indicator regularly.
Indicators and strategies
Donchian and Keltner Channels Trend Following with Trailing StopLong Only Trend-following model based on Keltner Channels and Donchian Channels.
These indicators include a noise region, which allows prices to oscillate without requiring position adjustments.
When price trades above the upper band, it signals strength; when it trades below the lower band, it signals weakness.
Keltner Channels
Keltner Channels are volatility-based envelopes set above and below an exponential moving average. Keltner Channels use the Average True Range (ATR), which measures daily volatility, to set channel distance.
Donchian Channel
Donchian Channels are are used to identify market trends and volatility. The upper and lower bands are based on the highest high and lowest low of a specified period. When the price moves above the upper band, it indicates a bullish breakout, while a
move below the lower band indicates a bearish breakout. The distance between the upper and lower channel of the Donchian Channel indicates the asset’s volatility.
Trend Following Model
The default settings are:
Upper Keltner and Upper Donchian Channel Length : 20
Lower Keltner and Lower Donchian Channel Length : 40
Keltner ATR Multiplier: 2
Entries, Exits and Trailing Stop
Entry : When price exceeds the upper band of at least one of these indicators.
Exit : When price undercuts the lower band of at least one of these indicators.
Trailing Stop : See below.
Trailing Stop
This is a stop-loss order that moves with the price of the underlying. It is designed to “trail” the price up (in the case of a long position) or down (for a short position), locking in profits as the price moves in a favorable direction.
At the end of day t, there was a Trailing Stop level in place. For the next day (day t + 1), the Trailing Stop will be adjusted. The new Trailing Stop will be the higher of two values:
The Trailing Stop from the previous day (day t).
The Lower Band computed at the end of day t + 1.
WaridTR15 Dakika ve Üzeri Periyotlar İçin Önerilen Ayarlar:
EMA Uzunlukları:
Kısa EMA: 9 yerine 12 veya 14 kullanılabilir.
Uzun EMA: 21 yerine 26 veya 50 kullanılabilir.
Golden Cross için 50 EMA ve 200 EMA zaten uzun vadeli trendleri yakalar, bu nedenle değiştirmeye gerek yok.
RSI Uzunluğu:
RSI uzunluğu 14 yerine 21 veya 28 yapılabilir. Bu, daha uzun vadeli aşırı alım/aşırı satım bölgelerini daha doğru tespit eder.
Volume Filtresi:
Volume ortalaması için 20 periyot yerine 50 veya 100 periyot kullanılabilir. Bu, daha uzun vadeli hacim eğilimlerini yakalar.
Ichimoku Parametreleri:
Ichimoku, varsayılan olarak 9-26-52 periyotlarıyla çalışır. Bu, zaten uzun vadeli trendleri yakalamak için uygundur. Ancak, daha uzun periyotlar için:
Tenkan-Sen: 9 yerine 14.
Kijun-Sen: 26 yerine 52.
Senkou Span B: 52 yerine 104.
Power of MovingThe Power of Moving indicator is a multi-moving average indicator designed to help traders identify strong trending conditions by analyzing the alignment and separation of multiple moving averages.
This indicator allows users to select between different types of moving averages (SMA, EMA, SMMA, WMA, VWMA) and plots four configurable moving averages on the chart. The background color dynamically changes when the moving averages are correctly stacked in a bullish (green) or bearish (yellow) formation, with sufficient distance between them. This ensures that trends are not only aligned but also have strong momentum. The indicator also includes alert conditions, notifying traders when the trend direction changes, allowing them to stay ahead of market moves.
This indicator works well in trending markets and should be combined with price action analysis or other confirmation indicators like RSI or volume for optimal results.
G-FRAMA | QuantEdgeBIntroducing G-FRAMA by QuantEdgeB
Overview
The Gaussian FRAMA (G-FRAMA) is an adaptive trend-following indicator that leverages the power of Fractal Adaptive Moving Averages (FRAMA), enhanced with a Gaussian filter for noise reduction and an ATR-based dynamic band for trade signal confirmation. This combination results in a highly responsive moving average that adapts to market volatility while filtering out insignificant price movements.
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1. Key Features
- 📈 Gaussian Smoothing – Utilizes a Gaussian filter to refine price input, reducing short-term noise while maintaining responsiveness.
- 📊 Fractal Adaptive Moving Average (FRAMA) – A self-adjusting moving average that adapts its sensitivity to market trends.
- 📉 ATR-Based Volatility Bands – Dynamic upper and lower bands based on the Average True Range (ATR), improving signal reliability.
- ⚡ Adaptive Trend Signals – Automatically detects shifts in market structure by evaluating price in relation to FRAMA and its ATR bands.
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2. How It Works
- Gaussian Filtering
The Gaussian function preprocesses the price data, giving more weight to recent values and smoothing fluctuations. This reduces whipsaws and allows the FRAMA calculation to focus on meaningful trend developments.
- Fractal Adaptive Moving Average (FRAMA)
Unlike traditional moving averages, FRAMA uses fractal dimension calculations to adjust its smoothing factor dynamically. In trending markets, it reacts faster, while in sideways conditions, it reduces sensitivity, filtering out noise.
- ATR-Based Volatility Bands
ATR is applied to determine upper and lower thresholds around FRAMA:
- 🔹 Long Condition: Price closes above FRAMA + ATR*Multiplier
- 🔻 Short Condition: Price closes below FRAMA - ATR
This setup ensures entries are volatility-adjusted, preventing premature exits or false signals in choppy conditions.
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3. Use Cases
✔ Adaptive Trend Trading – Automatically adjusts to different market conditions, making it ideal for both short-term and long-term traders.
✔ Noise-Filtered Entries – Gaussian smoothing prevents false breakouts, allowing for cleaner entries.
✔ Breakout & Volatility Strategies – The ATR bands confirm valid price movements, reducing false signals.
✔ Smooth but Aggressive Shorts – While the indicator is smooth in overall trend detection, it reacts aggressively to downside moves, making it well-suited for traders focusing on short opportunities.
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4. Customization Options
- Gaussian Filter Settings – Adjust length & sigma to fine-tune the smoothness of the input price. (Default: Gaussian length = 4, Gaussian sigma = 2.0, Gaussian source = close)
- FRAMA Length & Limits – Modify how quickly FRAMA reacts to price changes.(Default: Base FRAMA = 20, Upper FRAMA Limit = 8, Lower FRAMA Limit = 40)
- ATR Multiplier – Control how wide the volatility bands are for long/short entries.(Default: ATR Length = 14, ATR Multiplier = 1.9)
- Color Themes – Multiple visual styles to match different trading environments.
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Conclusion
The G-FRAMA is an intelligent trend-following tool that combines the adaptability of FRAMA with the precision of Gaussian filtering and volatility-based confirmation. It is versatile across different timeframes and asset classes, offering traders an edge in trend detection and trade execution.
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🔹 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.
Inside BarsInside Bars Indicator
Description:
This indicator identifies and highlights price action patterns where a bar's high and low
are completely contained within the previous bar's range. Inside bars are significant
technical patterns that often signal a period of price consolidation or uncertainty,
potentially leading to a breakout in either direction.
Trading Literature & Theory:
Inside bars are well-documented in technical analysis literature:
- Steve Nison discusses them in "Japanese Candlestick Charting Techniques" as a form
of harami pattern, indicating potential trend reversals
- Thomas Bulkowski's "Encyclopedia of Chart Patterns" categorizes inside bars as
a consolidation pattern with statistical significance for breakout trading
- Alexander Elder references them in "Trading for a Living" as indicators of
decreasing volatility and potential energy build-up
- John Murphy's "Technical Analysis of the Financial Markets" includes inside bars
as part of price action analysis for market psychology understanding
The pattern is particularly significant because it represents:
1. Volatility Contraction: A narrowing of price range indicating potential energy build-up
2. Institutional Activity: Often shows large players absorbing or distributing positions
3. Decision Point: Market participants evaluating the previous bar's significance
Trading Applications:
1. Breakout Trading
- Watch for breaks above the parent bar's high (bullish signal)
- Monitor breaks below the parent bar's low (bearish signal)
- Multiple consecutive inside bars can indicate stronger breakout potential
2. Market Psychology
- Inside bars represent a period of equilibrium between buyers and sellers
- Shows market uncertainty and potential energy building up
- Often precedes significant price movements
Best Market Conditions:
- Trending markets approaching potential reversal points
- After strong momentum moves where the market needs to digest gains
- Near key support/resistance levels
- During pre-breakout consolidation phases
Complementary Indicators:
- Volume indicators to confirm breakout strength
- Trend indicators (Moving Averages, ADX) for context
- Momentum indicators (RSI, MACD) for additional confirmation
Risk Management:
- Use parent bar's range for stop loss placement
- Wait for breakout confirmation before entry
- Consider time-based exits if breakout doesn't occur
- More reliable on higher timeframes
Note: The indicator works best when combined with proper risk management
and overall market context analysis. Avoid trading every inside bar pattern
and always confirm with volume and other technical indicators.
C&P MA/KT Compare & Predict Moving average / Current market price.
This is simple table indicator. Located at right-top of chart. Shows which way will MA's head go.
I made this indicator for automate candle countings & compare price. With this friend, you will be know trend more faster then waiting traditional MA golden / dead crossing.
In factory settings, current market price will be compared with closing price of the candle, corresponding to previous number 7, 25, 60, 99, 130, 240. If Current market price is lower then past, the box for the corresponding MA is highlighted in red and appears as Down. In opposite case, it will be highlighted in green and indicates Up.
MA와 시장가 차이로 MA의 머리 방향을 예측해주는 간단한 지표입니다.
수동으로 캔들 되돌려서 종가와 시장가 비교하는게 너무 번거로워서 자동화를 위해 제작되었습니다. 해당 지표를 이용하시면 MA의 골든/데드 크로스를 기다리는 것보다 더 빠른 예측이 가능합니다.
차트 우측 상단에 예측 값이 표시되며, 기본 설정에선 7, 25, 60, 99, 130, 240개 전 캔들의 종가와 시장가가 비교됩니다. 시장가가 비교 값보다 높을 때는 초록 배경에 Up 텍스트가 출력됩니다. 반대의 경우엔 빨간색 배경에 Down 표기가 나타납니다.
High Volume Points [BigBeluga]High Volume Points is a unique volume-based indicator designed to highlight key liquidity zones where significant market activity occurs. By visualizing high-volume pivots with dynamically sized markers and optional support/resistance levels, traders can easily identify areas of interest for potential breakouts, liquidity grabs, and trend reversals.
🔵 Key Features:
High Volume Points Visualization:
The indicator detects pivot highs and lows with exceptionally high trading volume.
Each high-volume point is displayed as a concentric circle, with its size dynamically increasing based on the volume magnitude.
The exact volume at the pivot is shown within the circle.
Dynamic Levels from Volume Pivots:
Horizontal levels are drawn from detected high-volume pivots to act as support or resistance.
Traders can use these levels to anticipate potential liquidity zones and market reactions.
Liquidity Grabs Detection:
If price crosses a high-volume level and grabs liquidity, the level automatically changes to a dashed line.
This feature helps traders track areas where institutional activity may have occurred.
Volume-Based Filtering:
Users can filter volume points by a customizable threshold from 0 to 6, allowing them to focus only on the most significant high-volume pivots.
Lower thresholds capture more volume points, while higher thresholds highlight only the most extreme liquidity events.
🔵 Usage:
Identify strong support/resistance zones based on high-volume pivots.
Track liquidity grabs when price crosses a high-volume level and converts it into a dashed line.
Filter volume points based on significance to remove noise and focus on key areas.
Use volume circles to gauge the intensity of market interest at specific price points.
High Volume Points is an essential tool for traders looking to track institutional activity, analyze liquidity zones, and refine their entries based on volume-driven market structure.
Standardized Leveraged ETF Fund of FlowsThis indicator tracks and standardizes the 3-month fund flows of major leveraged ETFs across different asset classes, including equities, gold, and bonds.
The fund flows are summed over a 3-month period (63 trading days) and then standardized using a 500-day rolling mean and standard deviation.
The resulting normalized fund flow values are plotted in three distinct colors:
Blue for Equities Fund Flows
Yellow for Gold Fund Flows
Green for Bond Fund Flows
Ichimoku(TF)This Pine Script indicator is a comprehensive Ichimoku Cloud implementation designed for TradingView. Its uniqueness lies in the precisely calculated settings for each timeframe, offering a tailored Ichimoku experience across different chart resolutions.
Key Features:
Timeframe-Specific Presets: The indicator includes a wide range of pre-defined settings optimized for various timeframes (1m, 2m, 3m, 5m, 10m, 15m, 30m, 45m, 1H, 2H, 3H, 4H, 6H, 12H, 18H, 1D, 3D, 1W, 1M). This ensures accurate Ichimoku calculations and relevant signals for your chosen timeframe.
Ichimoku Cloud: Plots the standard Ichimoku Cloud components: Tenkan-sen (Conversion Line), Kijun-sen (Base Line), Senkou Span A & B (Leading Spans), and Chikou Span (Lagging Span).
Configurable Display: Allows toggling the Ichimoku Cloud display, coloring bars based on the trend (above or below the cloud), and customizing table visibility, style, font size and position.
Trend Analysis Table: A summary table provides a quick overview of the current trend based on Ichimoku components. It assesses the strength of the trend based on the price's relation to the Tenkan-sen, Kijun-sen, Kumo Cloud, Chikou Span and Kumo Twist. The table offers both detailed and short styles.
Buy/Sell Signals: Generates buy and sell signals based on Tenkan-sen/Kijun-sen crossovers.
Uniqueness:
The primary advantage of this indicator is its meticulous configuration for different timeframes. Instead of using a single set of parameters for all timeframes, it provides optimized values that are more suitable for specific chart resolutions. The summary table provides an easy and quick way to assess the trend.
Этот индикатор Pine Script представляет собой комплексную реализацию облака Ишимоку, разработанную для TradingView. Его уникальность заключается в точно рассчитанных настройках для каждого таймфрейма, предлагая индивидуальный опыт Ишимоку для различных разрешений графиков.
Ключевые особенности:
Предустановки для конкретных таймфреймов: Индикатор включает в себя широкий спектр предопределенных настроек, оптимизированных для различных таймфреймов (1m, 2m, 3m, 5m, 10m, 15m, 30m, 45m, 1H, 2H, 3H, 4H, 6H, 12H, 18H, 1D, 3D, 1W, 1M). Это обеспечивает точные вычисления Ишимоку и релевантные сигналы для выбранного вами таймфрейма.
Облако Ишимоку: Отображает стандартные компоненты облака Ишимоку: Tenkan-sen (линия конверсии), Kijun-sen (базовая линия), Senkou Span A & B (ведущие диапазоны) и Chikou Span (запаздывающий диапазон).
Настраиваемое отображение: Позволяет переключать отображение облака Ишимоку, окрашивать бары в зависимости от тренда (выше или ниже облака), а также настраивать видимость таблицы, стиль, размер шрифта и положение.
Таблица анализа тренда: Сводная таблица обеспечивает быстрый обзор текущего тренда на основе компонентов Ишимоку. Он оценивает силу тренда на основе отношения цены к Tenkan-sen, Kijun-sen, облаку Kumo, Chikou Span и Kumo Twist. Таблица предлагает как подробный, так и краткий стили.
Сигналы покупки/продажи: Генерирует сигналы покупки и продажи на основе пересечений Tenkan-sen/Kijun-sen.
Уникальность:
Основным преимуществом этого индикатора является его тщательная настройка для разных таймфреймов. Вместо использования единого набора параметров для всех таймфреймов он предоставляет оптимизированные значения, которые больше подходят для конкретных разрешений графиков. Сводная таблица обеспечивает простой и быстрый способ оценки тренда.
Smart MA Crossover BacktesterSmart MA Crossover Backtester - Strategy Overview
Strategy Name: Smart MA Crossover Backtester
Published on: TradingView
Applicable Markets: Works well on crypto (tested profitably on ETH)
Strategy Concept
The Smart MA Crossover Backtester is an improved Moving Average (MA) crossover strategy that incorporates a trend filter and an ATR-based stop loss & take profit mechanism for better risk management. It aims to capture trends efficiently while reducing false signals by only trading in the direction of the long-term trend.
Core Components & Logic
Moving Averages (MA) for Entry Signals
Fast Moving Average (9-period SMA)
Slow Moving Average (21-period SMA)
A trade signal is generated when the fast MA crosses the slow MA.
Trend Filter (200-period SMA)
Only enters long positions if price is above the 200-period SMA (bullish trend).
Only enters short positions if price is below the 200-period SMA (bearish trend).
This helps in avoiding counter-trend trades, reducing whipsaws.
ATR-Based Stop Loss & Take Profit
Uses the Average True Range (ATR) with a multiplier of 2 to calculate stop loss.
Risk-Reward Ratio = 1:2 (Take profit is set at 2x ATR).
This ensures dynamic stop loss and take profit levels based on market volatility.
Trading Rules
✅ Long Entry (Buy Signal):
Fast MA (9) crosses above Slow MA (21)
Price is above the 200 MA (bullish trend filter active)
Stop Loss: Below entry price by 2× ATR
Take Profit: Above entry price by 4× ATR
✅ Short Entry (Sell Signal):
Fast MA (9) crosses below Slow MA (21)
Price is below the 200 MA (bearish trend filter active)
Stop Loss: Above entry price by 2× ATR
Take Profit: Below entry price by 4× ATR
Why This Strategy Works Well for Crypto (ETH)?
🔹 Crypto markets are highly volatile – ATR-based stop loss adapts dynamically to market conditions.
🔹 Long-term trend filter (200 MA) ensures trading in the dominant direction, reducing false signals.
🔹 Risk-reward ratio of 1:2 allows for profitable trades even with a lower win rate.
This strategy has been tested on Ethereum (ETH) and has shown profitable performance, making it a strong choice for crypto traders looking for trend-following setups with solid risk management. 🚀
Elephant Bar Detector by McAiElephant Bar Detector 🐘
Overview:
The Elephant Bar Detector identifies significant bullish and bearish bars (candlesticks) based on size and volume criteria. It also detects follow-through patterns, helping traders confirm strong price movements.
Features:
✅ Elephant Bar Detection:
Bullish Elephant Bar 🐘: A large bullish candle with high volume.
Bearish Elephant Bar 🐘: A large bearish candle with high volume.
✅ Follow-Through Confirmation:
Checks if price continues in the same direction after the Elephant Bar.
Requires at least 80% follow-through over the next few bars.
✅ Visual Markers & Alerts:
Yellow Elephant 🐘 (Bottom) → Bullish signal
Pink Elephant 🐘 (Top) → Bearish signal
Background Highlight: Indicates confirmed follow-through
Alerts: Get notified when an Elephant Bar or follow-through occurs.
How It Works:
Calculates the average candle size over a user-defined period.
Sets a volume threshold (average volume × multiplier).
Identifies Elephant Bars when price movement & volume exceed thresholds.
Confirms follow-through by checking if 80% of the next few bars continue in the same direction.
Customizable Settings:
Length for Average Candle Size (Default: 200)
Volume Multiplier (Default: 1.5)
Number of Follow-Through Bars (Default: 3)
This indicator helps traders spot strong price moves early and confirm trends before entering trades. 🚀🔥
Smart Trend Tracker Name: Smart Trend Tracker
Description:
The Smart Trend Tracker indicator is designed to analyze market cycles and identify key trend reversal points. It automatically marks support and resistance levels based on price dynamics, helping traders better navigate market structure.
Application:
Trend Analysis: The indicator helps determine when a trend may be nearing a reversal, which is useful for making entry or exit decisions.
Support and Resistance Levels: Automatically marks key levels, simplifying chart analysis.
Reversal Signals: Provides visual signals for potential reversal points, which can be used for counter-trend trading strategies.
How It Works:
Candlestick Sequence Analysis: The indicator tracks the number of consecutive candles in one direction (up or down). If the price continues to move N bars in a row in one direction, the system records this as an impulse phase.
Trend Exhaustion Detection: After a series of directional bars, the market may reach an overbought or oversold point. If the price continues to move in the same direction but with weakening momentum, the indicator records a possible trend slowdown.
Chart Display: The indicator marks potential reversal points with numbers or special markers. It can also display support and resistance levels based on key cycle points.
Settings:
Cycle Length: The number of bars after which the possibility of a reversal is assessed.
Trend Sensitivity: A parameter that adjusts sensitivity to trend movements.
Dynamic Levels: Setting for displaying key levels.
Название: Smart Trend Tracker
Описание:
Индикатор Smart Trend Tracker предназначен для анализа рыночных циклов и выявления ключевых точек разворота тренда. Он автоматически размечает уровни поддержки и сопротивления, основываясь на динамике цены, что помогает трейдерам лучше ориентироваться в структуре рынка.
Применение:
Анализ трендов: Индикатор помогает определить моменты, когда тренд может быть близок к развороту, что полезно для принятия решений о входе или выходе из позиции.
Определение уровней поддержки и сопротивления: Автоматически размечает ключевые уровни, что упрощает анализ графика.
Сигналы разворота: Индикатор предоставляет визуальные сигналы о возможных точках разворота, что может быть использовано для стратегий, основанных на контртрендовой торговле.
Как работает:
Анализ последовательности свечей: Индикатор отслеживает количество последовательных свечей в одном направлении (вверх или вниз). Если цена продолжает движение N баров подряд в одном направлении, система фиксирует это как импульсную фазу.
Выявление истощения тренда: После серии направленных баров рынок может достичь точки перегрева. Если цена продолжает двигаться в том же направлении, но с ослаблением импульса, индикатор фиксирует возможное замедление тренда.
Отображение на графике: Индикатор отмечает точки потенциального разворота номерами или специальными маркерами. Также возможен вывод уровней поддержки и сопротивления, основанных на ключевых точках цикла.
Настройки:
Длина цикла (Cycle Length): Количество баров, после которых оценивается возможность разворота.
Фильтрация тренда (Trend Sensitivity): Параметр, регулирующий чувствительность к трендовым движениям.
Уровни поддержки/сопротивления (Dynamic Levels): Настройка для отображения ключевых уровней.
Harish algo for nifty and bankniftyHarish algo for nifty and banknifty
Overview
Harish Algo - Buy and Sell 11 is a powerful trading indicator designed for intraday traders, incorporating multiple technical analysis concepts to identify potential breakout and breakdown levels. It uses pivot points, exponential moving averages (EMAs), and volatility-based levels to generate buy and sell signals with visual markers for better decision-making.
Features & Functionality
✅ Pivot Points Calculation:
The indicator calculates daily pivot points along with resistance (R1) and support (S1) levels.
Helps in identifying potential reversal or breakout areas.
✅ EMA Trend Confirmation:
Uses three EMAs (21, 55, and 200) to confirm trend direction.
Ensures that buy signals align with uptrends and sell signals align with downtrends.
✅ 15-Minute Candle Analysis for Precision:
Captures the last three 15-minute closes of the previous day.
Computes an average and determines volatility-based price levels to anticipate price movements.
✅ Dynamic Buy & Sell Signals:
Bullish (Buy) Signals:
Price breaks above key resistance levels and EMAs confirm an uptrend.
Displayed as yellow (tiny) or green (small) upward triangles below candles.
Bearish (Sell) Signals:
Price drops below key support levels with EMA confirmation of a downtrend.
Displayed as fuchsia (tiny) or red (small) downward triangles above candles.
✅ Alerts for Trade Execution:
Get notified instantly with alerts when a buy or sell signal is triggered.
✅ Customizable Settings:
Modify EMA lengths and adjust parameters to fit different trading strategies.
Usage & Benefits
🔹 Helps traders identify potential entry and exit points with precision.
🔹 Reduces false signals by combining pivot points, EMAs, and price action.
🔹 Works best for intraday traders in the Indian stock markets, but can be applied to other markets as well.
🔹 Suitable for both beginners and experienced traders looking for a structured approach to trading.
How to Use
Add the indicator to your chart.
Observe the plotted pivot points, EMAs, and price levels.
Watch for triangle markers (buy/sell signals).
Use alerts to receive real-time notifications.
Combine with your own risk management strategy for best results.
🔹 Works on all timeframes but optimized for intraday trading.
Disclaimer
📢 This indicator is for educational purposes only and should not be considered financial advice. Always perform your own analysis before taking trades.
HMA 4H and 15M overlay Notes:
HMA Calculation: We calculate three HMAs for the 15-minute timeframe (ma1, ma2, ma3) based on the settings from your original script, but only ma3 is plotted to keep it consistent with your initial setup.
4-hour HMA: An additional HMA is calculated for the 4-hour timeframe (hma4h) using the hma3 period since it was the longest in your original setup, which might be suitable for a 4-hour chart comparison.
Plotting: Both the 15-minute ma3 and 4-hour hma4h HMAs are plotted with distinct colors for easy visual differentiation.
Timeframe Security: request.security() is used to fetch data from different timeframes. Remember, using request.security() with historical data can sometimes lead to misalignments or delayed data, especially during live trading.
This script will overlay the 15-minute HMA (using the ma3 from your settings) with a new 4-hour HMA on any chart timeframe you apply it to. Remember, if you're looking at a chart timeframe that's not 15 minutes or 4 hours, the HMAs might appear less smooth or aligned due to how Pine Script handles different timeframes.
Range Filtered Trend Signals [AlgoAlpha]Introducing the Range Filtered Trend Signals , a cutting-edge trading indicator designed to detect market trends and ranging conditions with high accuracy. This indicator leverages a combination of Kalman filtering and Supertrend analysis to smooth out price fluctuations while maintaining responsiveness to trend shifts. By incorporating volatility-based range filtering, it ensures traders can differentiate between trending and ranging conditions effectively, reducing false signals and enhancing trade decision-making.
:key: Key Features
:white_check_mark: Kalman Filter Smoothing – Minimizes market noise while preserving trend clarity.
:bar_chart: Supertrend Integration – A dynamic trend-following mechanism for spotting reversals.
:fire: Volatility-Based Range Detection – Detects trending vs. ranging conditions with precision.
:art: Color-Coded Trend Signals – Instantly recognize bullish, bearish, and ranging market states.
:gear: Customizable Inputs – Fine-tune Kalman parameters, Supertrend settings, and color themes to match your strategy.
:bell: Alerts for Trend Shifts – Get real-time notifications when market conditions change!
:tools: How to Use
Add the Indicator – Click the star icon to add it to your TradingView favorites.
Analyze Market Conditions – Observe the color-coded signals and range boundaries to identify trend strength and direction.
Use Alerts for Trade Execution – Set alerts for trend shifts and market conditions to stay ahead without constantly monitoring charts.
:mag: How It Works
The Kalman filter smooths price fluctuations by dynamically adjusting its weighting based on market volatility. It helps remove noise while keeping the signal reactive to trend changes. The Supertrend calculation is then applied to the filtered price data, providing a robust trend-following mechanism. To enhance signal accuracy, a volatility-weighted range filter is incorporated, creating upper and lower boundaries that define trend conditions. When price breaks out of these boundaries, the indicator confirms trend continuation, while signals within the range indicate market consolidation. Traders can leverage this tool to enhance trade timing, filter false breakouts, and identify optimal entry/exit zones.
VolatilityThis is a filtering indicator Volatility in the CTA contract of BG Exchange. According to their introduction, it should be calculated using this simple method.
However, you may have seen the problem. According to the exchange's introduction, the threshold should still be divided by 100, which is in percentage form. The result I calculated, even if not divided by 100, still shows a significant difference, which may be due to the exchange's mistake. Smart netizens, do you know how the volatility of BG Exchange is calculated.
The official introduction of BG Exchange is as follows: Volatility (K, Fluctuation) is an additional indicator used to filter out positions triggered by CTA strategy signals in low volatility markets. Usage: Select the fluctuation range composed of the nearest K candlesticks, and choose the highest and lowest closing prices. Calculation: 100 * (highest closing price - lowest closing price) divided by the lowest closing price to obtain the recent amplitude. When the recent amplitude is greater than Fluctuation, it is considered that the current market volatility meets the requirements. When the CTA strategy's position building signal is triggered, position building can be executed. Otherwise, warehouse building cannot be executed.
SIOVERSE EMA 15 with Buy/Sell Signals, Support & ResistanceThis Pine Script indicator is designed for TradingView and combines Exponential Moving Averages (EMAs), support and resistance levels, buy/sell signals, and volume percentage labels filtered by buy/sell conditions. It is a comprehensive tool for traders who want to analyze price trends, identify key levels, and make informed decisions based on volume and EMA crossovers.
Key Features of the Indicator
EMA 15 (Purple Dashed Line):
A 15-period Exponential Moving Average (EMA) is plotted on the chart as a dashed purple line.
This EMA helps traders identify short-term trends and potential entry/exit points.
Hidden EMA 21 and EMA 34:
The 21-period and 34-period EMAs are calculated but not displayed on the chart.
These EMAs are used to generate buy and sell signals based on crossovers.
Buy/Sell Signals:
Buy Signal: Occurs when the EMA 21 crosses above the EMA 34. A green "BUY" label is displayed below the candle.
Sell Signal: Occurs when the EMA 21 crosses below the EMA 34. A red "SELL" label is displayed above the candle.
These signals help traders identify potential trend reversals or continuations.
Support and Resistance Levels:
Support: The lowest price level over the last lookback_period candles, plotted as a green dashed horizontal line.
Resistance: The highest price level over the last lookback_period candles, plotted as a red dashed horizontal line.
These levels help traders identify key price zones for potential breakouts or reversals.
Volume Percentage Labels (Filtered by Buy/Sell Signals):
The volume percentage is calculated relative to the average volume over the last volume_lookback candles.
Buy Volume Label: When a buy signal occurs, a green label is displayed above the candle with the text "Buy Vol: X.XX%", where X.XX is the volume percentage.
Sell Volume Label: When a sell signal occurs, a red label is displayed below the candle with the text "Sell Vol: X.XX%", where X.XX is the volume percentage.
These labels help traders assess the strength of the buy/sell signals based on volume.
Alerts:
Alerts are triggered when buy or sell signals occur, notifying traders of potential trading opportunities.
Adaptive 12/48 EMAThe Adaptive 12/48 EMA is a trend-following indicator that dynamically changes color based on price positioning relative to key exponential moving averages (EMAs).
EMA Calculation:
The script calculates three EMAs—9 EMA (white), 12 EMA (adaptive color), and 48 EMA (adaptive color).
Trend Confirmation:
The 12 EMA turns green when the price (open, close, and low) is fully above it, indicating bullish momentum. The 12 EMA turns red when the price is fully below it, signaling bearish conditions.
Long-Term Trend (48 EMA):
The 48 EMA turns purple when the 12 EMA is above it, confirming an uptrend. The 48 EMA turns pink when the 12 EMA is below it, confirming a downtrend. Both EMAs turn gray when there's no clear trend.
How to Benefit from It:
Trend Trading: Use green/red shifts in the 12 EMA to time entries in the direction of momentum.
Trend Strength Confirmation: The 48 EMA color change helps determine the longer-term trend direction.
Confluence with Other Indicators: Works well with volume indicators or RSI for confirmation before entering trades.
This indicator provides a clear visual representation of trend strength and direction, helping traders make informed decisions based on price structure.
Relative Performance SuiteOverview
The Relative Performance Suite (RPS) is a versatile and comprehensive indicator designed to evaluate an asset's performance relative to a benchmark. By offering multiple methods to measure performance, including Relative Performance, Alpha, and Price Ratio, this tool helps traders and investors assess asset strength, resilience, and overall behavior in different market conditions.
Key Features:
✅ Multiple Performance Measures:
Choose from various relative performance calculations, including:
Relative Performance:
Measures how much an asset has outperformed or underperformed its benchmark over a given period.
Relative Performance (Proportional):
A proportional version of relative performance,
factoring in scaling effects.
Relative Performance (MA Based):
Uses moving averages to smooth performance fluctuations.
Alpha:
A measure of an asset’s performance relative to what would be expected based on its beta and the benchmark’s return. It represents the excess return above the risk-free rate after adjusting for market risk.
Price Ratio:
Compares asset prices directly to determine relative value over time.
✅ Customizable Moving Averages:
Apply different moving average types (SMA, EMA, SMMA, WMA, VWMA) to smooth price inputs and refine calculations.
✅ Beta Calculation:
Includes a Beta measure used in Alpha calculation, which users can toggle the visibility of helping users understand an asset's sensitivity to market movements.
✅ Risk-Free Rate Adjustment:
Incorporate risk-free rates (e.g., US Treasury yields, Fed Funds Rate) for a more accurate calculation of Alpha.
✅ Logarithmic Returns Option:
Users can switch between standard returns and log returns for more refined performance analysis.
✅ Dynamic Color Coding:
Identify outperformance or underperformance with intuitive color coding.
Option to color bars based on relative strength, making chart analysis easier.
✅ Customizable Tables for Data Display:
Overview table summarizing key metrics.
Explanation table offering insights into how values are derived.
How to Use:
Select a Benchmark: Choose a comparison symbol (e.g., TOTAL or SPX ).
Pick a Performance Metric: Use different modes to analyze relative performance.
Customize Calculation Methods: Adjust moving averages, timeframes, and log returns based on preference.
Interpret the Colors & Tables: Utilize the dynamic coloring and tables to quickly assess market conditions.
Ideal For:
Traders looking to compare individual asset performance against an index or benchmark.
Investors analyzing Alpha & Beta to understand risk-adjusted returns.
Market analysts who want a visually intuitive and data-rich performance tracking tool.
This indicator provides a powerful and flexible way to track relative asset strength, helping users make more informed trading decisions.
Responsive Moving Average with Trend Detection - MissouriTimThis indicator calculates a responsive moving average (RMA) that dynamically adjusts its sensitivity based on market volatility. This indicator is more responsive that SMAs, EMAs, WMAs, and HMAs. Here's how it functions:
Dynamic Length Adjustment: Utilizes the Average True Range (ATR) to adjust the length of the moving average. In times of increased volatility, the length decreases to make the average more responsive to price changes, and in quieter markets, it increases to reduce noise.
Responsive and Smoothed Moving Averages:
Responsive EMA: An initial Exponential Moving Average (EMA) is calculated with a dynamically adjusted length for responsiveness.
Smoothing: A secondary layer of smoothing is applied to this responsive EMA to further smooth out price fluctuations.
Trend Detection:
Detects trends by comparing the current smoothed EMA with its previous values:
Uptrend is identified when the current smoothed EMA is higher than the last two periods.
Downtrend is recognized when the current smoothed EMA is lower than the last two periods.
Consolidation occurs when neither an uptrend nor a downtrend is present.
Visual Representation:
The moving average line changes color:
Green for an uptrend.
Red for a downtrend.
Orange for consolidation.
Significant Trend Labels:
Labels are displayed when there's a significant change in the moving average:
Uptrend Labels appear when the EMA increases by more than the user-defined "Uptrend Label on % Change" threshold, placed at the high of the bar with green background.
Downtrend Labels are shown when the EMA decreases by more than the "Downtrend Label on % Change" threshold, positioned at the low of the bar with a red background.
Users can enable or disable these labels, and the thresholds for labeling uptrends and downtrends can be adjusted separately to match market conditions or user preferences.
This indicator is tailored for traders needing a moving average that adapts to market dynamics while providing clear visual feedback on significant trend changes via color-coded lines and labels.
Dynamic Currency Strength IndexDescription:
This indicator calculates the relative strength of the base currency and quote currency of the currently selected forex pair. Instead of just using a single pair comparison (e.g., GBPUSD - AUDUSD), it determines currency strength using a basket of related pairs, making it more accurate and useful for trading decisions.
How It Works:
Extracts the base and quote currencies from the selected forex pair.
Calculates their individual strengths using multiple related forex pairs.
Displays the strength difference between the base and quote currencies.
How to Use:
✔️ If the strength difference is positive, the base currency is stronger → Bullish signal.
✔️ If the strength difference is negative, the quote currency is stronger → Bearish signal.
✔️ Use it to confirm trends, filter trades, and improve entry timing in forex trading.
💡 Ideal for traders using trend-based strategies (Dow Theory, HH-HL patterns, breakouts, etc.).
JMA Quantum Edge: Adaptive Precision Trading System JMA Quantum Edge: Adaptive Precision Trading System - Enhanced Visuals & Risk Management
Get ready to experience a groundbreaking trading strategy that adapts in real-time to market conditions! This powerful, open-source script combines advanced technical analysis with state-of-the-art risk management tools, designed to give you the edge you need in today's dynamic markets.
What It Does:
Adaptive JMA Indicator:
Utilizes a custom Jurik Moving Average (JMA) that adjusts its sensitivity based on market volatility, ensuring you get precise signals even in the most fluctuating environments.
Dynamic Risk Management:
Features built-in support for partial exits (scaling out) to secure profits, along with an optional Kelly Criterion-based position sizing that tailors your exposure based on historical performance metrics.
Robust Error Handling:
Incorporates market condition filters—like minimum volume and maximum allowed gap percentage—to ensure trades are only executed under favorable conditions.
Vivid Visual Enhancements:
Enjoy an animated background that reflects market momentum, dynamic pivot markers, and clearly drawn trend channels. Plus, interactive tables provide real-time performance analytics and detailed error metrics.
Fully Customizable:
With a comprehensive set of inputs, you can easily tailor the strategy to your personal trading style and market preferences. Adjust everything from JMA parameters to refresh intervals for tables and labels!
How to Use It:
Add the Script:
Copy and paste the script into the Pine Script Editor on TradingView and click “Add to Chart.”
Configure Your Settings:
Customize your risk management (capital, commission, position sizing, partial exits, etc.) and tweak the JMA settings to match your preferred trading style. Use the extensive input panel to adjust visuals, alerts, and more.
Backtest & Optimize:
Run the strategy in the Strategy Tester to analyze its historical performance. Monitor real-time analytics and error metrics via the interactive tables, and fine-tune your parameters for optimal performance.
Go Live with Confidence:
Once you're satisfied with the backtest results, use the generated signals for live trading, and let the system help you stay ahead in fast-paced markets!
How to use the imputs:
This cutting-edge strategy is designed to adapt to changing market conditions and offers you complete control over your trading parameters. Here’s a breakdown of what each group of inputs does and how you should use them:
Risk Management & Trade Settings
Recalculate on Every Tick:
What it does: When enabled, the strategy recalculates on every price update.
Recommendation: Leave it true for fast charts.
Initial Capital:
What it does: Sets your starting capital for backtesting, which influences position sizing and performance metrics.
Recommendation: Start with $10,000 (or adjust according to your trading capital).
Commission (%):
What it does: Simulates the cost per trade.
Recommendation: Use a realistic rate (e.g., 0.04%).
Position Size & Quantity Type:
What they do: Define how large each trade will be. Choose between a fixed unit amount or a percentage of equity.
Recommendation: For beginners, the default fixed value is a good start. Experiment later with percentage-based sizing if needed.
Order Comment:
What it does: Adds a label to your orders for easier tracking.
Allow Reverse Orders:
What it does: If disabled, the strategy will close opposing positions before entering a new trade, reducing conflicts.
Enable Dynamic Position Sizing:
What it does: Adjusts trade size based on current volatility.
Recommendation: Beginners may start with this disabled until they understand basic sizing.
Partial Exit Inputs:
What they do:
Enable Partial Exits: When turned on, you can scale out of your position to lock in profits.
Partial Exit Profit (%): The profit percentage that triggers a partial exit.
Partial Exit Percentage: The percentage of your current position to exit. Recommendation: Use defaults (e.g., 5% profit, 50% exit) to secure profits gradually.
Kelly Criterion Option:
What it does: When enabled, adjusts your position sizing using historical performance (win rate and profit factor).
Recommendation: Beginners might leave this disabled until comfortable with backtest performance metrics.
Market Condition Filters:
What they do:
Minimum Volume: Ensures trades occur only when there’s sufficient market activity.
Maximum Gap (%): Prevents trading if there’s an unusually large gap between the previous close and current open. Recommendation: Defaults work well for most markets. If trades seem erratic, consider tightening these limits.
JMA Settings
Price Source:
What it does: The input series for the JMA calculation, typically set to the closing price.
JMA Length:
What it does: Controls the smoothing period of the JMA. Lower values are more sensitive; higher values smooth out the noise. Recommendation: Start with 21.
JMA Phase & Power:
What they do: Adjust how responsive the JMA is. Phase controls timing; power adjusts the intensity. Recommendation: Default settings (63 phase and 3 power) are a balanced starting point.
Visual Settings & Style
Show JMA Line, Pivot Lines, and Pivot Labels:
What they do: Toggle visual elements on your chart for easier signal identification.
Pivot History Count:
What it does: Limits how many historical pivot markers are displayed.
Color Settings (Up/Down Neon Colors):
What they do: Set the visual cues for buy and sell signals.
Pivot Marker & Line Style:
What they do: Choose the style and thickness of your pivot markers and lines.
Show Stats Panel:
What it does: Displays real-time performance and error metrics.
Dynamic Background & Visual Enhancements
Animate Background:
What it does: Changes the background color based on market momentum.
Show Trend Channels & Volume Zones:
What they do: Draw trend channels and highlight areas of high volatility/volume.
Show Data-Rich Labels:
What it does: Displays key metrics like volume, error percentage, and momentum on the chart.
High Volatility Threshold:
What it does: Determines the multiplier for when the chart background should change due to high volatility.
Multi-Timeframe Settings
Higher Timeframe:
What it does: Uses a higher timeframe’s JMA for trend confirmation. Recommendation: Use Daily ('D') or Weekly ('W') for broader trend analysis.
Show HTF Trend Zone & Opacity:
What they do: Display a visual zone from the higher timeframe to help confirm trends.
6. Trailing Stop Settings
Trailing Stop ATR Factor & Offset Multiplier:
What they do: Calculate trailing stops based on the Average True Range (ATR), adjusting stop distances dynamically. Recommendation: Default settings are a good balance but can be fine-tuned based on asset volatility.
Alerts & Notifications
Alerts on Pivot Formation & JMA Crossover:
What they do: Notify you when key events occur.
Dynamic Power Threshold:
What it does: Sets the sensitivity for dynamic alerts.
8. Static Stop Loss / Take Profit
Static Stop Loss (%) & Take Profit (%):
What they do: Allow you to set fixed stop loss or take profit levels. Recommendation: Leave them at 0 to disable if you prefer dynamic risk management, or set them if you have strict risk/reward preferences.
Advanced Settings
ATR Length:
What it does: Determines the period for ATR calculation, impacting trailing stop sensitivity. Recommendation: Start with 14.
Optimization Feedback & Enhanced Error Analysis
Error Metric Length & Error Threshold (%):
What they do: Calculate error metrics (like average error, skewness, and kurtosis) to help you fine-tune the JMA. Recommendation: Use the defaults and adjust if the error metrics seem off during backtesting.
UI - User-Driven Tweaking & Table Customization
Parameter Tweaker Panel, Debug/Performance Table Settings:
What they do: Provide interactive tables that display real-time performance, error metrics, and allow you to monitor strategy parameters.
Refresh Frequency Options (Table & Label Refresh Intervals):
What they do: Set how often the tables and labels update.
Recommendation: Start with an interval of 1 bar; increase it if your chart is too busy.
Important for Beginners:
Default Settings:
All default values have been chosen for balanced performance across different markets. If you ever experience unexpected behavior, start by resetting the inputs to their defaults.
Step-by-Step Adjustments:
Experiment by changing one setting at a time while observing how the strategy’s signals and performance metrics change. This will help you understand the impact of each parameter.
Resetting to Defaults:
If things seem off or you’re not getting the expected results, you can always reset the indicator. Either reload the script or use the “Reset Inputs” option (if available) to revert to the default settings.
Jump in, experiment, and enjoy the power of adaptive precision trading. This strategy is built to grow with your skills—have fun exploring and refining your trading edge!
Happy trading!
