Heiken Ashi + ATR StrategyStrategy: Heiken Ashi + Super Trend Reversal (STR) for TradingView
This strategy combines Heiken Ashi candles and the Super Trend Reversal (STR) indicator to detect trend shifts and generate buy/sell signals. It is designed to minimize noise, making it ideal for trend-following traders in Forex, Stocks, and Crypto.
Strategy Logic
🔹 Entry Condition (Buy)
A long position is opened when:
Heiken Ashi candle turns green (indicating bullish momentum).
Super Trend Reversal (STR) confirms a buy signal (price is above the STR support level).
🔻 Exit Condition (Sell)
The position closes when:
Heiken Ashi candle turns red (indicating bearish pressure).
Super Trend Reversal (STR) confirms a sell signal (price is below the STR resistance level).
Risk Management (Stop Loss & Take Profit)
This strategy uses ATR (Average True Range) for dynamic risk management:
✔ Stop Loss: 1.5 × ATR below entry price
✔ Take Profit: 3 × ATR above entry price
This ensures a risk-reward ratio of 1:2, maximizing profit potential.
Indicators Used
1️⃣ Heiken Ashi Candles → Smoothed price action for clearer trend detection.
2️⃣ Super Trend Reversal (STR) → A volatility-based trend-following indicator.
3️⃣ ATR (Average True Range) → Measures market volatility to adjust stop-loss and take-profit dynamically.
How to Use This Strategy in TradingView
Go to TradingView
Open the Pine Script Editor
Paste the Pine Script Code (provided earlier)
Run the strategy
Backtest it on different timeframes & markets
Best Timeframes & Markets
✅ Works best on trending markets (Forex, Crypto, Stocks).
✅ Recommended timeframes: 1H, 4H, Daily for optimal results.
Why This Strategy Works Well?
✔ Filters market noise using Heiken Ashi for smoother trends.
✔ Combines trend confirmation with STR for higher accuracy.
✔ Uses ATR-based stop-loss & take-profit for optimized risk management.
✔ Easy to use with visual Buy/Sell signals.
🚀 Try it on TradingView now and optimize it for your favorite asset! 🚀
Indicators and strategies
OmniPulse (Fixed Version)OmniPulse (Fixed Version) – Description
OmniPulse is a multi-indicator framework designed to combine three core oscillators—RSI, Stochastic, and Momentum—at various lookback lengths, then refine their signals using placeholder features such as machine learning forecasting, adaptive cycle detection, and neural network filtering. While some of these advanced features are not natively supported in Pine Script, they are represented here in simplified forms to illustrate how a more sophisticated system could be structured.
Key Components:
Multi-Length Oscillator Arrays
RSI (calcrsi() function)
Stochastic (placeholder via ta.sma() on a typical price average)
Momentum (ta.roc())
These are calculated for multiple lengths defined by the rsiLengths, stochLengths, and momentumLengths arrays.
Dual-Threshold Convergence
Compares each oscillator’s value to user-defined upper/lower thresholds (threshold1, threshold2) to identify bullish or bearish conditions.
Summarizes results in a convergence score.
Placeholder Machine Learning Forecast
Demonstrates a simple averaging of oscillator values as a “forecast” when toggled on.
Adaptive Cycle Detection (Placeholder)
Introduces a static cycle period (e.g., 20.0) as a placeholder for more advanced transforms.
Neural Network Filter (Placeholder)
Averages convergence, forecast, and cyclePeriod into a single filteredSignal.
Signal Plotting
Plots the filtered signal on the chart.
Highlights potential bullish or bearish extremes with shape markers based on percentile thresholds.
Practical Use & Extension:
Real Multi-Timeframe Analysis: Replace placeholders with request.security() for each timeframe.
Advanced Forecasting: Incorporate custom or external machine learning models.
Genuine Cycle Detection: Implement more sophisticated logic or user-defined cycle detection tools.
Neural Network Heuristics: Expand the placeholder step into a deeper filtering or weighting system.
Overall, OmniPulse serves as an adaptable blueprint for traders and developers, showcasing how multiple indicators and advanced concepts might be combined into a cohesive, signal-generating framework.
ZACARÍA$ 50/200 MA CrossThis is a MA Cross with the 50 Simple MA + 200 Simple MA with a cross
It pairs very well with my 5/20 EMA cross
AwAc OscillatorThis indicator combines the Awesome Oscillator and the Accelerator Oscillator, allowing you to select either of them. It can be particularly useful when you want to utilize both oscillators along with the Parabolic SAR to develop a powerful trading strategy.
Strategy Overview
In the strategy described below, the Parabolic SAR should be added to the main chart.
Short Trade Criteria
The Awesome Oscillator turns red.
The Accelerator Oscillator turns red.
The Parabolic SAR is above the current candle.
All conditions for a short trade must be met below the 200 EMA.
Action: Go short at the opening of the next candle.
Long Trade Criteria
The Awesome Oscillator turns green.
The Accelerator Oscillator turns green.
The Parabolic SAR is below the current candle.
All conditions for a long trade must be met above the 200 EMA.
Action: Go long at the opening of the next candle.
MIMA with Shaded Fibonacci Zones It is a combined sma settings that have a bigger weight on the most recent price movements that are meant to be used when at the background colors (which identifiy fibonnaci levels on a higher time frame). At that point, use the smaller MIMas to identify the begining of the movement and the higher ones to identify bigger trends, or support and resistance levels
Month of Year Performance█ OVERVIEW
The Month of Year Performance indicator is designed to visualize and compare the cumulative percentage change for each month of the year. By aggregating monthly returns, it helps uncover seasonal trends and potential anomalies in financial markets.
In financial analysis, a calendar based anomaly refers to recurring patterns or tendencies associated with specific time periods, such as days of the week. By calculating the cumulative percentage change for each month (January through December) and displaying the results both graphically and in a summary table, this indicator helps identify whether certain months
consistently outperform others.
█ FEATURES
Customisable time window via Time Settings.
Calculates cumulative percentage change for each month (January to December) separately.
Built-in error check to ensure the indicator is applied on a Monthly timeframe.
Distinct visual representation for each month using unique colours.
Customisable table settings including location and font size.
Displays a performance summary table with metrics such as performance, average return, % positive, and count.
█ HOW TO USE
Add the indicator to a chart set to a Monthly timeframe.
Select your desired Start Time and End Time in the Time Settings.
Toggle the performance table on or off in the Table Settings.
Adjust the table’s location and font size as needed.
View the cumulative monthly performance plotted in distinct colours.
Colour Scheme:
January: Blue
February: Red
March: Green
April: Orange
May: Purple
June: Fuchsia
July: Teal
August: Yellow
September: Navy
October: Lime
November: Maroon
December: Aqua
Moving Volume DensityMoving Volume Density (MVD) is a custom TradingView indicator written in Pine Script™ (version 6) that blends volume analysis with price range data to offer a unique perspective on market dynamics. By measuring the total volume over a specified period and relating it to the price range during the same interval, this indicator provides valuable insights into the concentration of trading activity relative to price movement.
Key Features:
User-Defined Period: The indicator uses an input period (default 20 bars) to calculate both the total volume and the price range. This flexibility allows you to tailor the analysis to your preferred timeframe.
Volume Calculation: It computes the sum of the volume over the defined period, capturing the cumulative trading activity.
Price Range Determination: The indicator identifies the highest high and the lowest low within the period, calculating the price range (difference between the two). This range serves as the denominator in the density calculation.
Volume Density Computation: Volume Density is derived by dividing the total volume by the price range. This metric reveals how concentrated the volume is within the observed price movement. To prevent division errors, the calculation returns 'NA' when the price range is zero.
Visual Representation: The resulting Volume Density is plotted as a line on a separate sub-window, making it easy to compare with other indicators or overlay your analysis.
「Moving Volume Density (MVD) インジケーター」は、Pine Script™（バージョン6）で作成されたカスタムインジケーターです。出来高の分析と、指定期間内の高値・安値による価格レンジの情報を組み合わせることで、市場のダイナミクスに対する独自の視点を提供します。指定された期間内の合計出来高とその期間内の価格レンジの比率から、価格変動に対する出来高の集中度を示す指標となります。
主な特徴:
ユーザー定義の期間: インジケーターは、入力された期間（デフォルトは20本のバー）を基に、合計出来高と価格レンジ（最高値と最安値の差）の両方を計算します。これにより、ご自身の分析に合わせた柔軟な設定が可能です。
出来高の計算: 指定期間内の全出来高を合計することで、累積的な取引活動を把握します。
価格レンジの算出: 期間内の最高値と最安値を取得し、その差を価格レンジとして算出。このレンジは、出来高密度の計算における分母として使用されます。
出来高密度の計算: 合計出来高を価格レンジで割ることで、出来高がどれだけ価格変動内に集中しているかを示す「出来高密度」を求めます。なお、価格レンジがゼロの場合はゼロ除算を避けるため「NA」を返す設計となっています。
視覚的な表現: 計算結果はサブウィンドウにラインとしてプロットされ、他のインジケーターとの併用や比較が容易に行えます。
IBD Relative Strength with MAUnlike existing IBD Relative Strength indicators, this one has a moving average element to help track how the relative strength of your stock is performing longer term.
This indicator comes with two features:
1. The Relative Strength (RS) indicator
2. The moving average (MA) of the RS
In general, when the RS is moving up, the stock is out performing the index; and when down, it is underperforming. If flat, then the stock is moving inline with the index. The default index is SPY, but you can change that in the settings.
With the MA addition, you can quickly see how the RS is trending and tell if, on that day or week when the RS is moving down, is your stock still holding above the moving average trend--Is it still outperforming the market?
There are several features you can adjust in the settings:
1. You can set the RS to track against any stock or index
2. You can set the look back period for RS comparison (the default is 63 for a full quarter on the daily timeframe)
3. You can adjust the moving average time length (the default is 10 for two weeks on the daily timeframe)
4. You can determine if you want a simple or exponential moving average for your MA indicator
Hope you enjoy! Thanks for checking it out.
Period Counter CandleDescription:
The Period Candle Counter is a Pine Script v6 indicator designed to track and display candle statistics within a user-defined time range. This tool provides valuable insights into market movement by counting green (bullish) and red (bearish) candles within the selected period, along with their respective percentages.
Additionally, it calculates the total duration of the selected candles based on the current chart timeframe. This allows traders to understand how much actual market time has passed during the analyzed period.
Features & Functionality:
✅ Custom Time Selection:
Users can define a start and end time for the analysis.
The indicator automatically identifies and tracks candles within this period.
✅ Candle Count & Percentages:
Total Candles in the selected period.
Green Candle Count & Percentage (bullish candles).
Red Candle Count & Percentage (bearish candles).
✅ Time Calculation:
Multiplies the number of candles by the chart timeframe.
Converts the total time into hours and minutes (e.g., "2h 30m").
✅ User-Friendly Display:
Data is neatly organized in a panel positioned in the top-right corner of the chart.
Background highlighting is applied during the selected period for easy visualization.
Use Cases:
📊 Trend Analysis – Helps traders identify whether a session was bullish or bearish.
⏳ Market Session Timing – Understand how long a specific trend or movement lasted.
📉 Backtesting Strategy Support – Evaluate historical periods efficiently.
Candle Cross Moving AverageИндикатор рисует двухцветный Moving Average (MA):
1. Синий цвет - цена открытия и закрытия предыдущего бара выше линии MA.
2. Красный цвет - цена открытия и закрытия предыдущего бара ниже линии MA.
Так же в настройках можно менять:
1. тип MA (Simple, Exponential, Smoothed, Linear);
2. период MA;
-------------------------------------------------------------------------------------------------------------------
The indicator plots a two-colored Moving Average (MA):
Blue color — the previous bar’s open and close prices are above the MA line.
Red color — the previous bar’s open and close prices are below the MA line.
Customizable settings:
MA type (Simple, Exponential, Smoothed, Linear);
MA period.
TrendPredictor StrategyNombre de la Estrategia: "TrendPredictor Strategy"
¡Hola traders! Les presento mi estrategia "TrendPredictor Strategy", una herramienta diseñada para operar en mercados tendenciales utilizando medias móviles y un componente de predicción. Esta estrategia combina análisis técnico clásico con un enfoque moderno basado en predicciones, lo que la hace ideal para aquellos que buscan aprovechar las tendencias del mercado con un toque de inteligencia artificial.
Características principales:
Medias Móviles (EMA y SMA):
La estrategia utiliza medias móviles exponenciales (EMA) y simples (SMA) para identificar tendencias alcistas y bajistas.
Las condiciones de entrada se activan cuando el precio está en consonancia con la dirección de las medias móviles.
Componente de Predicción:
Incluye una fase de predicción y aprendizaje que simula la toma de decisiones basada en datos históricos y tendencias futuras.
Actualmente, la predicción es simulada, pero está diseñada para ser reemplazada por un modelo de machine learning o inteligencia artificial.
Gestión de Posiciones:
Las operaciones se mantienen abiertas durante un número específico de barras (actualmente 4), lo que permite capturar movimientos significativos del mercado.
La estrategia cierra automáticamente las posiciones después de cumplirse las condiciones de salida.
Optimizada para temporalidades de 1D:
Esta estrategia está especialmente diseñada para operar en gráficos diarios (1D), donde las tendencias son más claras y los movimientos son más significativos.
Al operar en temporalidades de 1D, se reduce el ruido del mercado y se maximizan los beneficios al capturar tendencias a mediano y largo plazo.
Fácil de usar y personalizar:
Los parámetros de las medias móviles (EMA y SMA) pueden ajustarse según el activo y el timeframe que prefieras.
Aunque está optimizada para 1D, también puede adaptarse a otros timeframes según tus preferencias.
¿Para quién es esta estrategia?
Traders principiantes: Si estás empezando en el mundo del trading, esta estrategia te ayudará a entender cómo funcionan las tendencias y las medias móviles.
Traders avanzados: Si ya tienes experiencia, puedes personalizar la estrategia y reemplazar la predicción simulada con tu propio modelo de machine learning o inteligencia artificial.
Amantes de la tecnología: Si te interesa combinar análisis técnico con herramientas modernas de predicción, esta estrategia es para ti.
Beneficios de operar en temporalidades de 1D:
Menos ruido: Al operar en gráficos diarios, se filtran las fluctuaciones menores del mercado, lo que permite identificar tendencias más claras.
Mayor precisión: Las señales generadas en temporalidades de 1D suelen ser más confiables, ya que se basan en movimientos de precio más significativos.
Menos estrés: Al operar en gráficos de 1D, no es necesario monitorear el mercado constantemente, lo que reduce el estrés y permite un enfoque más relajado.
Recomendaciones:
Backtest: Antes de usar la estrategia en tiempo real, realiza un backtest en diferentes activos y timeframes para asegurarte de que se adapta a tus necesidades.
Optimización: Ajusta los períodos de las medias móviles y el número de barras para mantener una posición según tu estilo de trading.
Predicción avanzada: Si tienes un modelo de predicción, reemplaza la simulación actual para mejorar la precisión de las señales.
Descargo de responsabilidad:
Esta estrategia es una herramienta educativa y no garantiza ganancias. El trading conlleva riesgos, y es importante que realices tu propio análisis antes de operar con dinero real. Si decides utilizar esta estrategia, hazlo bajo tu propia responsabilidad.
¡Prueba la estrategia y comparte tus resultados!
Si te gusta la estrategia o tienes sugerencias para mejorarla, no dudes en dejar un comentario. ¡Juntos podemos hacer que esta herramienta sea aún más poderosa!
Código:
El código completo está disponible en la descripción. ¡No olvides darle like y seguirme para más estrategias y herramientas de trading!
¿Por qué temporalidades de 1D?
Tendencias más claras: En gráficos diarios, las tendencias son más fáciles de identificar y seguir.
Menos operaciones, más calidad: Al operar en 1D, se reduce la cantidad de operaciones, pero aumenta la calidad de las mismas.
Ideal para traders ocupados: Si no tienes tiempo para monitorear el mercado constantemente, esta estrategia en 1D es perfecta para ti.
Zerg range filter credit to Kivanc turkish pinecoder for base indicator i reworked with chatgpt and some common sense
this indicator similar to the ADX but i think its better visually to keep you out of market conditions that are unfavorable.
i made original indicator to work in a 0-100 enviroment (before it was a zero middle line oscillator) and added background coloring that has a lower and higher threshold setting. i also added a smoothing moving average. this will trigger threshold levels (not the core oscillator)
above higher level would indicate trending market conditions and its purple. these are the areas where you might want to buy low period moving average bounces like 10 or 21 ema
lower band will paint indicator background blue and its cold, meaning range bound trade ideas are likely play out better. selling resistance and buying horizontal supports for example.
you are encourage to play with lookback period and change thresholds until you find something that works for your trading.
on the picture above it illustrates how i intended its usage.
it also shows divergences which was not intended but also a function.
you can also observe as the oscillator likes to coil up into a tight range (horizontal or a wedge formation) and when these break their trendlines explosive moves are incoming usually.
if you have a trading system and can generate a lot of signals but want to filter out some loser trades this could be the indicator you were looking for.
i hope this will be inline with community guidelines. my other publishing got removed unfortunately
𝓜𝓐 𝓢𝓶𝓸𝓸𝓽𝓱𝓮𝓭 𝓡𝓢𝓘 𝓕𝓸𝓻 𝓛𝓸𝓸𝓹MA Smoothed Source For RSI Loop | Crypto_Mercenary_
Conceptual Foundation and Innovation
The "MA Smoothed Source For RSI Loop" indicator developed by Crypto_Mercenary_ innovates by smoothing the source data used for RSI calculation with various moving averages before feeding it into a for-loop scoring system. Rather than smoothing the RSI itself, this approach focuses on pre-processing the price data to reduce noise, thereby providing a cleaner input for RSI computation. The for-loop then evaluates this smoothed RSI to generate momentum signals, offering traders a refined method for detecting market trends and potential reversals.
Technical Composition and Calculation
The indicator's functionality is divided into two main parts:
Source Smoothing: Before calculating RSI, the source data (typically close price) is smoothed using one of several moving averages (EMA, SMA, WMA, VWMA, HMA, RMA, DEMA, or none) as selected by the user. This smoothing aims to filter out short-term volatility, providing a more consistent base for RSI calculation.
RSI Calculation and For-Loop Scoring:
RSI: Calculated using the smoothed source data over a user-defined length.
For-Loop Mechanism: A loop runs from a to b, comparing the current RSI value with past values of this smoothed RSI. A score (counter) is generated, which increases or decreases based on whether the current RSI exceeds or falls below past values. If the weighted option is activated, this comparison gives more weight to recent data points, adjusting the score accordingly.
The final score is then potentially normalized for better interpretation, compared against thresholds to determine market momentum signals.
Features and User Inputs
This indicator is highly customizable, allowing traders to tailor its behavior:
Weighted Calculation: Option to adjust scoring to favor recent price action.
RSI Length: Sets the period for RSI calculation.
Source: The price data to be smoothed before RSI calculation, default is close.
MA Type: Choice from various moving averages to smooth the source data.
Smooth Length: Length of the moving average used for smoothing.
For Loop Range: Defines the historical range (a to b) for the scoring loop.
Thresholds: Custom thresholds to define when signals for uptrends or downtrends are generated.
Practical Applications
This indicator is particularly beneficial for:
Identifying Momentum Shifts: The scoring system helps in detecting potential changes in market momentum.
Noise Reduction: By smoothing the source data, it aims to provide more reliable RSI signals in volatile markets.
Trend Analysis: Assists in confirming or challenging the current market trend based on the smoothed RSI's performance.
Advantages and Strategic Value
The "MA Smoothed Source For RSI Loop" offers an advantage by focusing on cleaning the input data for RSI, which can lead to more accurate momentum readings. Its flexibility in configuration allows traders to adapt the indicator to different market conditions or asset volatilities, enhancing its strategic value in trading decisions.
Alerts and Visual Cues
Visual Signals: The indicator plots the loop score, with colors indicating uptrends (gold) or downtrends (blue). Horizontal lines at thresholds and shaded areas between them provide visual aids for trend analysis.
**No explicit alerts in the script, but users can set up custom alerts based on the signals.
Summary and Usage Tips
The "MA Smoothed Source For RSI Loop | Crypto_Mercenary_" provides a nuanced approach to RSI by smoothing the price data before its calculation, resulting in potentially more reliable signals. Traders can use this indicator to gain a clearer picture of market momentum, adjusting parameters to fit different market behaviors or trading strategies. Remember, the effectiveness of this tool largely depends on its customization to the specific market context.
Note: Backtests are based on past results and do not guarantee future performance.
介休
//@version=5
strategy("Wyckoff BTC Strategy v3", overlay=true, margin_long=100, margin_short=100)
// —— 正确定义全局变量 ——
var bool springCondition = false // 初始化为布尔类型
var bool volumeCondition = false
var bool divergenceCondition = false
// —— 指标计算 ——
volumeMA20 = ta.sma(volume, 20)
dailyClose = request.security(syminfo.tickerid, "D", close)
dailyMA50 = ta.sma(dailyClose, 50)
currentRSI = ta.rsi(close, 14)
currentATR = ta.atr(14)
// —— 信号计算 ——
springLow = ta.lowest(low, 10)
springCondition := low < springLow and close > springLow and volume > volumeMA20
volumeCondition :=
volume > 1.5 * volumeMA20 and
volume < 0.7 * volumeMA20
priceHigh = ta.highest(high, 10)
rsiHigh = ta.highest(currentRSI, 10)
divergenceCondition := high >= priceHigh and currentRSI < rsiHigh
// —— 可视化 ——
plotshape(longCondition, style=shape.triangleup, color=color.green, location=location.belowbar)
plotshape(exitCondition, style=shape.triangledown, color=color.red, location=location.abovebar)
MainFX session indicatorINDICATOR Plot line on the open and close of all session its is only visible for 1min for Horc user << if it was useful to you >> consider praying for me to find profitability in trading BY OLAMIDE SIYANBOLA AKA MainFX
Indicador de Precios Diarios y Semanales 1.0Pit Strategy
Acordate de que esto es solo una Guia para que podas definir los precios altos y bajos del dia y la semana, para que te puedas guiar
EMA This is a simple script that allows you to chart many EMAs using a single indicator without needing to add many different EMAs to the chart. You can select from the most common EMAs required by most chartists to select only the ones you want to see on specific charts.
Having this all within a single indicator allows you to show/hide the EMAs you've configured quickly and saves on chart space and allowed number of simultaneous indicators.
TradeFlow EliteTradeFlow Elite - Fixed Indicator: Detailed Description
Overview
The TradeFlow Elite - Fixed indicator is a modified Hull Moving Average (HMA) system designed for trend detection, entry signals, and visualization in TradingView charts. It provides a smoothed moving average with reduced lag, allowing traders to identify trend changes more effectively. The indicator also includes customizable alerts, dynamic color changes, and a multi-timeframe option to enhance usability.
// join our X account for LIVE market insights: @ForecasterInfo //
// Free telegram bot with LIVE data // send a message to get invite!
Key Features
Hull Moving Average (HMA) Calculation
The indicator applies the Hull Moving Average (HMA) formula, which is a weighted moving average that reduces lag while maintaining smoothness.
The user can modify the length multiplier, adjusting the sensitivity of the trend detection.
Multi-Timeframe Support
Users can choose to display the Hull MA from a higher timeframe (HTF) instead of the current chart timeframe.
This helps traders identify broader trends while trading on lower timeframes.
Dynamic Color Coding for Trend Identification
Green when the Hull Moving Average is trending up (Bullish trend).
Red when the Hull Moving Average is trending down (Bearish trend).
Orange when the default color is used without trend-based color changes.
The color coding helps traders visually confirm trend direction and potential reversals.
Band Visualization Option
The user can choose to display the indicator as a single line or as a band with a secondary Hull MA (previous value).
The band provides additional confirmation of trend strength.
Alerts for Trend Reversals
The script detects changes in trend direction and generates buy or sell alerts accordingly.
The alerts are triggered when:
The color shifts from red to green (Buy signal).
The color shifts from green to red (Sell signal).
These alerts ensure that traders do not miss key trend shifts.
Customizable Settings
Source price: Users can choose which price value (Close, Open, High, Low, etc.) to use in the calculation.
Hull Variation: Currently, only HMA (Hull Moving Average) is used, but future versions could include THMA (Triple Hull MA) or EHMA (Exponential Hull MA).
Line thickness & transparency: Users can modify line width and transparency for better visualization.
Alerts & Labels: The indicator automatically plots labels ("Buy" and "Sell") at trend change points.
Use Case Scenarios
1. Trend Following Strategy
Traders can enter long positions when the Hull MA turns green and exit when it turns red.
It helps eliminate noise from minor price fluctuations and focus on the overall trend.
2. Reversal Trading
A sudden change from red to green or green to red signals a potential market reversal.
Traders can use these alerts to catch early reversals before major price moves.
3. Multi-Timeframe Confirmation
If a trader is scalping on a 5-minute chart, they can enable the higher timeframe setting (e.g., 1-hour or 4-hour) to align trades with the dominant trend.
This helps avoid counter-trend trades.
4. Visual Aid for Manual Trading
The color-changing Hull MA simplifies market structure analysis.
The band visualization provides additional confluence when paired with other technical indicators like RSI, MACD, or volume-based analysis.
High Win Rate Dogecoin StrategyI've created a high win-rate Dogecoin trading strategy that combines EMA crossovers, RSI filtering, and ATR-based stop loss & take profit.
🔹 Key Features:
✅ EMA Crossover – Confirms trend shifts.
✅ RSI Filter – Avoids overbought/oversold traps.
✅ ATR-based Stop Loss & Take Profit – Dynamically adapts to volatility.
✅ Risk-to-Reward Ratio (1:2) – Optimized for profitability.
✅ Signal Plots & Visualization – Easy to track buy/sell opportunities. COINBASE:DOGEUSD
