30 moving averageA 30-moving average (MA) is a technical analysis tool that calculates the average price of an asset over the last 30 periods (e.g., days, weeks, or months). It smooths out price fluctuations to help traders and investors identify trends. Here’s a brief overview:
Purpose: To determine the overall trend direction and filter out short-term price volatility.
Types:
Simple Moving Average (SMA): Equal weight is given to all data points.
Exponential Moving Average (EMA): More weight is given to recent prices.
Usage:
When the price is above the 30-MA, it suggests an uptrend.
When the price is below the 30-MA, it indicates a downtrend.
Application: Commonly used in combination with other indicators to confirm trends, identify potential entry/exit points, and assess overall market momentum.
Индикаторы и стратегии
Bearish Gap Down DetectionThis indicator is designed to identify bearish gap downs in price action and visually mark them on your chart. A gap down occurs when today's opening price is below the previous day's low, and the closing price remains below that low, signaling a potential bearish continuation or reversal.
Features:
Precise Gap Down Detection: Identifies only confirmed bearish gap downs, avoiding false signals.
Clear Visual Markers: Marks detected gap downs with a red downward triangle above the bar for easy identification.
Minimalist Design: Focuses solely on gap down detection, without any reliance on moving averages or additional noise.
Use Cases:
Trend Reversals: Spot potential downward trends as they develop.
Momentum Confirmation: Use alongside other indicators or strategies to confirm bearish momentum.
Swing Trading Opportunities: Ideal for traders looking to capitalize on significant price movements.
How It Works:
The script detects a gap down when:
Today's opening price is below the previous day's low.
Today's closing price stays below the previous day's low.
When these conditions are met, the indicator plots a red triangle above the price bar, signaling a bearish gap down.
Best Practices:
Apply this script to daily or higher timeframes for more reliable results.
Combine it with other indicators, such as support/resistance levels or volume analysis, for enhanced decision-making.
Cumulative Price AverageThe Cumulative Price Average (CPA) indicator calculates and plots the overall average of candlestick prices, providing a smoothed representation of the market's long-term price trend. This is achieved by aggregating the averages of each candle (Open, High, Low, Close) and dynamically updating the overall average as new candles are added.
Key Features
Long-Term Price Perspective: Displays the cumulative average of all candles from the start of the chart.
Trend Visualization: Smooths out short-term price fluctuations to highlight the overall trend.
Dynamic Updates: The average adjusts with each new bar for real-time analysis.
Usage
Trend Analysis:
Identify long-term bullish or bearish trends by observing the slope of the CPA line.
Support/Resistance:
The CPA line can act as a dynamic support or resistance level for the price.
Price Comparison:
Compare the current price to the CPA to assess whether the market is overbought or oversold relative to its historical average.
This indicator is especially useful for traders seeking to incorporate a historical perspective into their analysis, providing insights into the broader market behavior beyond short-term volatility.
ETH/USDT Multi-Indicator StrategyThis multi-indicator trading strategy for ETH/USDT combines RSI, Bollinger Bands, EMA crossover, and MACD to identify potential buy and sell opportunities. A buy signal is triggered when at least two conditions align, such as oversold RSI or price touching the lower Bollinger Band, while a sell signal is generated during overbought conditions or price exceeding the upper Bollinger Band. The strategy is optimized for backtesting and can be adjusted for various timeframes and market conditions.
EMA ME (12-32)//@version=5
indicator("EMA 12 & 32", overlay=true)
// محاسبه EMA ها
ema12 = ta.ema(close, 12)
ema32 = ta.ema(close, 32)
// رسم EMA ها روی نمودار
plot(ema12, color=color.blue, linewidth=2, title="EMA 12")
plot(ema32, color=color.red, linewidth=2, title="EMA 32")
Trend_CasperEMA Cloud Indicator (9, 13, 20)
This indicator plots three Exponential Moving Averages (EMAs) with lengths of 9, 13, and 20. It also creates a dynamic cloud between the highest and lowest EMA values, with colors indicating market conditions:
• Green: Price is above the cloud (bullish signal).
• Red: Price is below the cloud (bearish signal).
• Gray: Price is within the cloud (neutral or consolidation).
Use it to identify trends early and make informed trading decisions based on price movement relative to the EMAs.
Let me know if you need any modifications!
Range Filter + EMA200 by MMMEl indicador "Range Filter Buy and Sell 5min" está diseñado para detectar tendencias y generar señales de compra y venta en gráficos de 5 minutos, aunque puede ajustarse para otros intervalos de tiempo y activos financieros. Este indicador utiliza un filtro basado en rangos que combina el precio con un promedio suavizado del rango de las velas, lo que ayuda a eliminar el ruido del mercado y enfocarse en movimientos significativos.
Características principales:
Filtro de Rango Suavizado:
Utiliza un rango promedio suavizado para identificar niveles clave en el precio. Los niveles altos (High Band) y bajos (Low Band) representan zonas objetivo dinámicas.
Detección de Tendencias:
Una tendencia alcista se indica cuando el precio está por encima del filtro y mantiene una dirección ascendente.
Una tendencia bajista ocurre cuando el precio está por debajo del filtro y sigue una dirección descendente.
Señales de Compra/Venta:
Genera señales visuales ("Buy" y "Sell") en el gráfico cuando se cumplen condiciones específicas de cambio de tendencia.
También incluye alertas configurables para facilitar la toma de decisiones.
Colores Dinámicos:
Colorea las barras según la dirección del filtro, lo que ayuda a visualizar de manera intuitiva el estado del mercado.
Compatibilidad con Estrategias:
Incluye una sección opcional para convertir el indicador en una estrategia, permitiendo ejecutar órdenes automáticas con niveles de Take Profit (TP) y Stop Loss (SL).
La incorporación de la EMA 200 permite conocer de que tipo de mercado se trata, para tomar decisiones correctas
Dynamic EMA CrossoverThe Dynamic EMA Crossover indicator is designed to help traders identify trend transitions, visually understand market direction, and detect sideways consolidation zones. It simplifies decision-making by dynamically changing colors and highlighting areas of interest.
Key Features:
1. Dynamic EMA Crossovers:
• Uses two EMAs (default: 9 and 26 ) to identify bullish and bearish trends.
• EMAs and the area between them turn green during bullish trends and red during bearish trends for easy visualization.
2. Sideways Market Detection:
• Automatically detects periods of market consolidation when EMAs overlap for 10 consecutive candles and the price movement remains narrow.
• Sideways zones are highlighted with grey background, helping traders avoid false breakouts and trendless markets.
3. Customizable Inputs:
• Adjust the lengths of the two EMAs and the sensitivity of the overlap detection to match your trading style and market conditions.
How It Works:
• Trend Identification:
• When the shorter EMA crosses above the longer EMA, a bullish trend is indicated.
• When the shorter EMA crosses below the longer EMA, a bearish trend is indicated.
• The indicator dynamically adjusts the colors of the EMAs and fills the area between them for clear trend visibility.
• Sideways Market Detection:
• When the shorter EMA and longer EMA stay close (within a customizable sensitivity) for a fixed period (hardcoded to 10 candles), the indicator identifies a sideways market.
• This feature helps traders avoid entering trades during choppy or indecisive market conditions.
Who Is This For?
This indicator is ideal for:
• Trend traders looking for clear signals of trend direction.
• Swing traders who want to avoid trading in sideways markets.
• Scalpers who need quick and reliable visual cues for short-term market behavior.
Use Cases:
1. Bullish/Bearish Trends:
• Enter trades in the direction of the trend as the crossover occurs and colors change.
2. Sideways Zones:
• Avoid trades during periods of consolidation and wait for a clear breakout.
Mashup Logic:
This indicator combines:
1. EMA Crossovers:
• A tried-and-tested method for trend detection using two moving averages.
• Dynamic visual cues for bullish and bearish market phases.
2. Sideways Market Detection:
• Innovative logic to highlight sideways zones based on EMA overlap and price range analysis.
• Helps reduce noise and avoid trading during trendless periods.
3. Customization and Flexibility:
• Fully adjustable EMA lengths and overlap sensitivity to adapt to different markets and trading styles.
PVSRA Volume Suite CombinedLe volume en bleue reste a améliorer " exemple en 3d arrière plan ou a moitié transparent".
⚜️SMB Cross⚜️This script calculates the SMB (Strategy Mohsen Bahmani) index along with Heikin Ashi candles and a moving average. Heikin Ashi is used in this script as a smoothing technique to reduce noise and identify trends more clearly, helping generate more accurate trading signals.
Features:
SMB (Strategy Mohsen Bahmani): The SMB indicator is specifically designed to identify significant market movements and sharp price changes. In this script, the SMB is calculated using Heikin Ashi prices, enhancing the accuracy of the predictions.
Heikin Ashi: Heikin Ashi is a technical tool used for smoothing data and reducing price noise. It is especially useful in identifying longer-term trends and clear buy/sell signals.
Moving Average: An Exponential Moving Average (EMA) is used in this script to smooth out the SMB signals. This moving average helps you visualize the overall market trend more clearly.
Settings:
SMB MA Length: The length of the moving average for smoothing the SMB data is adjustable. The default length is 5, but you can modify it based on your trading strategy.
Usage:
This script is designed for traders who want to incorporate Heikin Ashi in their analysis along with traditional signals. By combining SMB and Heikin Ashi, you can receive more accurate signals for market entry and exit points.
How It Works:
Heikin Ashi prices are calculated.
The SMB index is calculated based on the Heikin Ashi price changes and trading volume.
An Exponential Moving Average of the SMB values is computed and plotted on the chart.
Using this tool, you can better simulate market trends and make more informed trading decisions.
Trend Analysis: DJ 09Bullish trends when the short-term MA crosses above the long-term MA and RSI is rising.
Bearish trends when the short-term MA crosses below the long-term MA and RSI is falling.
Чистые объемы 1H -> 4H -> 12H (LONG и SHORT)Этот скрипт предназначен для анализа объемов на таймфреймах 1H, 4H и 12H с целью поиска сигналов на вход в LONG и SHORT.
Он синхронизирует объемы между тремя таймфреймами, где 1H подчиняется 4H, а 4H подчиняется 12H.
Основная задача скрипта – находить точки входа, подтвержденные ростом или снижением объемов на всех уровнях.
Таймфрейм 1H используется для точного определения момента входа.
Таймфрейм 4H анализирует объемы для подтверждения движений на 1H.
Таймфрейм 12H проверяет глобальный тренд объемов, синхронизированный с 4H.
Скрипт рассчитывает средние значения объемов (SMA) на каждом таймфрейме.
Условия для LONG включают рост объемов на 1H и 4H, подтвержденный 12H.
Условия для SHORT включают снижение объемов на 1H и 4H, подтвержденное 12H.
VWAP используется как дополнительный фильтр тренда.
LONG возможен только при цене выше VWAP.
SHORT возможен только при цене ниже VWAP.
Скрипт визуально отображает сигналы в виде треугольников на графике.
Зеленый треугольник с меткой "LONG" указывает на сигнал для входа в покупку.
Красный треугольник с меткой "SHORT" указывает на сигнал для входа в продажу.
Объемы на 1H анализируются для выявления локальных изменений.
Объемы на 4H проверяют среднесрочные тенденции.
Объемы на 12H служат для анализа глобальных трендов.
Увеличение объемов подтверждается, если объем больше SMA и больше предыдущего значения.
Уменьшение объемов подтверждается, если объем ниже SMA и меньше предыдущего значения.
Скрипт учитывает динамику объемов на всех уровнях.
Он помогает избежать ложных сигналов в периоды низкой ликвидности.
Скрипт автоматически запрашивает данные с таймфреймов 4H и 12H.
Пользователю достаточно установить скрипт на график с таймфреймом 1H.
VWAP визуализируется на графике в виде линии.
Объемы для 1H, 4H и 12H также отображаются в виде линий.
Скрипт можно адаптировать для других таймфреймов, изменив настройки.
Все сигналы строятся на основе согласованности объемов.
LONG сигнал подтверждается синхронным ростом объемов на всех уровнях.
SHORT сигнал подтверждается синхронным снижением объемов на всех уровнях.
Условия сигнала LONG усиливаются фильтром VWAP.
Условия сигнала SHORT также зависят от фильтра VWAP.
Скрипт рассчитан на использование трейдерами, которые анализируют объемы.
Это идеальный инструмент для работы в трендовых и боковых рынках.
Он помогает улучшить точность входа в сделки.
Скрипт снижает вероятность ложных входов.
Таймфрейм 12H используется для глобальной проверки тренда объемов.
Таймфрейм 4H служит мостом между глобальным и локальным анализом.
VWAP помогает определить справедливую цену актива.
Сигналы становятся более точными за счет многоуровневой проверки.
Скрипт подходит для торговли на криптовалютных и фондовых рынках.
Он легко интегрируется с другими инструментами анализа.
Динамика объемов визуально отображается для удобства пользователя.
VWAP может быть использован как самостоятельный индикатор тренда.
Пользователь может модифицировать настройки SMA для объемов.
Скрипт облегчает принятие решений в реальном времени.
Он особенно полезен в периоды высокой волатильности.
Moving average test scriptshowing buys and sells using the moving average. Looks for the areas and then shows an alert on the screen
Mrphin's Awesome IndicatorA collection of all my favourite indicators to identify key points to sell puts and calls and potential breakouts.
Ehlers Maclaurin Ultimate Smoother [CT]Ehlers Maclaurin Ultimate Smoother
Introduction
The Ehlers Maclaurin Ultimate Smoother is an innovative enhancement of the classic Ehlers SuperSmoother. By leveraging advanced Maclaurin series approximations, this indicator offers superior market analysis and signal generation.
The indicator combines Ehlers' Ultimate Smoother with Maclaurin series approximations to create a more efficient and accurate smoothing mechanism:
Input price data passes through the initial smoothing phase
Maclaurin series approximates trigonometric functions
Enhanced high-pass filter removes market noise
Final smoothing phase produces the output signal
Why the Maclaurin Approach?
The Maclaurin series is a special form of the Taylor series, centered around 0. It provides an efficient way to approximate complex functions using polynomial terms. In this indicator, we use the Maclaurin approach to improve the sine and cosine functions, resulting in:
Faster Calculations: By using polynomial approximations, we significantly reduce computational complexity.
Improved Stability: The approximation provides a more stable numerical basis for calculations.
Preservation of Precision: Despite the approximation, we maintain the precision needed for price smoothing.
Calculations
The indicator employs several key mathematical components:
Maclaurin Series Approximation:
sin(x) ≈ x - x³/3! + x⁵/5! - x⁷/7! + x⁹/9!
cos(x) ≈ 1 - x²/2! + x⁴/4! - x⁶/6! + x⁸/8!
Smoothing Algorithm:
Uses exponential smoothing with optimized coefficients
Implements high-pass filtering for noise reduction
Applies dynamic weighting based on market conditions
Mathematical Foundation
Utilizes Maclaurin series for trigonometric approximation
Implements Ehlers' smoothing principles
Incorporates advanced filtering techniques
Technical Advantages
Signal Processing:
Lag Reduction: Faster signal detection with less delay.
Noise Filtration: Effective elimination of high-frequency noise.
Precision Enhancement: Preservation of critical price movements.
Adaptive Processing: Dynamic response to market volatility.
Visual Enhancements:
Smart color intensity mapping.
Real-time visualization of trend strength.
Adaptive opacity based on movement significance.
Implementation
Core Configuration:
Plot Type: Choose between the original and the Maclaurin enhanced version.
Length: Default set to 30, optimal for daily timeframes.
hpLength: Default set to 10 for enhanced noise reduction.
Advanced Parameters:
The indicator offers advanced control with:
Dual processing modes (Original/Maclaurin).
Dynamic color intensity system.
Customizable smoothing parameters.
Professional Analysis Tools:
Accurate trend reversal identification.
Advanced support/resistance detection.
Superior performance in volatile markets.
Technical Specifications
Maclaurin Series Implementation:
The indicator employs a 5-term Maclaurin series approximation for both sine and cosine, ensuring efficient and accurate computation.
Performance Metrics
Improved processing efficiency.
Reduced memory utilization.
Increased signal accuracy.
Licensing & Attribution
© 2024 Mupsje aka CasaTropical
Professional Credits
Original Ultimate and SuperSmoother concept: John F. Ehlers
Maclaurin enhancement: Casa Tropical (CT)
www.mathsisfun.com
MCDX_SignalThe MCDX indicator (Market Cycle Dynamic Index) is a technical indicator developed by Trung Pham. It is a tool used for analyzing the stock market, often utilized to identify big money flow (Big Money) and evaluate the strength of individual stocks or the overall market.
MCDX is known for its distinctive histogram chart with red and green bars. The red bars typically represent the inflow of big money, while the green bars indicate small money flow or outflows.
Parabolic SAR + EMA 200 + MACD Signals// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © Saleh_Toodarvari
//@version=5
indicator(title="Parabolic SAR + EMA 200 + MACD Signals", shorttitle="SAR EMA MACD", overlay=true, timeframe="", timeframe_gaps=true)
// Inputs
sar_start = input(0.02)
sar_increment = input(0.02)
sar_maximum = input(0.2, "Max Value")
ema_len = input.int(200, minval=1, title="Length")
ema_src = input(close, title="Source")
ema_offset = input.int(title="Offset", defval=0, minval=-500, maxval=500)
macd_fast_length = input(title="Fast Length", defval=12)
macd_slow_length = input(title="Slow Length", defval=26)
macd_src = input(title="Source", defval=close)
signal_length = input.int(title="Signal Smoothing", minval = 1, maxval = 50, defval = 9)
sma_source = input.string(title="Oscillator MA Type", defval="EMA", options= )
sma_signal = input.string(title="Signal Line MA Type", defval="EMA", options= )
// Colors
col_macd = input(#2962FF, "MACD Line ", group="Color Settings", inline="MACD")
col_signal = input(#FF6D00, "Signal Line ", group="Color Settings", inline="Signal")
col_grow_above = input(#26A69A, "Above Grow", group="Histogram", inline="Above")
col_fall_above = input(#B2DFDB, "Fall", group="Histogram", inline="Above")
col_grow_below = input(#FFCDD2, "Below Grow", group="Histogram", inline="Below")
col_fall_below = input(#FF5252, "Fall", group="Histogram", inline="Below")
// Parabolic SAR
SAR = ta.sar(sar_start, sar_increment, sar_maximum)
plot(SAR, "ParabolicSAR", style=plot.style_circles, color=#2962FF)
// EMA 200
EMA_200 = ta.ema(ema_src, ema_len)
plot(EMA_200, title="EMA", color=color.blue, offset=ema_offset)
// MACD
fast_ma = sma_source == "SMA" ? ta.sma(macd_src, macd_fast_length) : ta.ema(macd_src, macd_fast_length)
slow_ma = sma_source == "SMA" ? ta.sma(macd_src, macd_slow_length) : ta.ema(macd_src, macd_slow_length)
macd = fast_ma - slow_ma
signal = sma_signal == "SMA" ? ta.sma(macd, signal_length) : ta.ema(macd, signal_length)
delta = macd - signal
// Conditions
main_trend=if ohlc4high
true
else
false
macd_long = if (ta.crossover(delta, 0))
true
else
false
macd_short = if (ta.crossunder(delta, 0))
true
else
false
// Long
buy_signal= sar_long and macd_long and (main_trend=="Bullish")
// Short
sell_signal= sar_short and macd_short and (main_trend=="Bearish")
// Plots
plotshape(buy_signal, title="Buy Label", text="Buy", location=location.belowbar, style=shape.labelup, size=size.tiny, color=color.green, textcolor=color.white)
plotshape(sell_signal, title="Sell Label", text="Sell", location=location.abovebar, style=shape.labeldown, size=size.tiny, color=color.red, textcolor=color.white)
//_________________alerts_________________
alertcondition(buy_signal, title='SAR EMA200 MACD Buy signal!', message='Buy signal')
alertcondition(sell_signal, title='SAR EMA200 MACD Sell signal!', message='Sell signal')
EMA & ATR Dynamic Trend BandThis indicator combines an Exponential Moving Average (EMA) with an Average True Range (ATR)-based trailing stop to create a dynamic band that adapts to price action.
When the band is below the price, it acts as dynamic support, highlighting an area ideal for long trades. Traders can enter trades within this zone while managing risk using the ATR line as a stop-loss guide.
When the band is above the price, it acts as dynamic resistance, identifying optimal zones for short trades with the ATR line as the stop-loss.
The band changes color to provide visual feedback on momentum: green when the EMA or ATR suggests upward support and red when it indicates downward resistance. While the color may occasionally shift during volatile moves (e.g., price spikes), these areas often represent prime entry opportunities within a larger trend.
This indicator is highly customizable and serves as a versatile tool for identifying support and resistance zones, managing risk, and fine-tuning trade entries and exits.
Four RSI hajianاین اندیکاتور توسط 4 اندیکاتور ار اس ای تحلیل را انجام داده و در نقاط اشبا برای شما سیگنال صادر میکند
