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
רצועות וערוצים
RSI Volatility Suppression Zones [BigBeluga]RSI Volatility Suppression Zones is an advanced indicator that identifies periods of suppressed RSI volatility and visualizes these suppression zones on the main chart. It also highlights breakout dynamics, giving traders actionable insights into potential market momentum.
🔵 Key Features:
Detection of Suppression Zones:
Identifies periods where RSI volatility is suppressed and marks these zones on the main price chart.
Breakout Visualization:
When the price breaks above the suppression zone, the box turns aqua, and an upward label is drawn to indicate a bullish breakout.
If the price breaks below the zone, the box turns purple, and a downward label is drawn for a bearish breakout.
Breakouts accompanied by a "+" label represent strong moves caused by short-lived, tight zones, signaling significant momentum.
Wave Labels for Consolidation:
If the suppression zone remains unbroken, a "wave" label is displayed within the gray box, signifying continued price stability within the range.
Gradient Intensity Below RSI:
A gradient strip below the RSI line increases in intensity based on the duration of the suppressed RSI volatility period.
This visual aid helps traders gauge how extended the low volatility phase is.
🔵 Usage:
Identify Breakouts: Use color-coded boxes and labels to detect breakouts and their direction, confirming potential trend continuation or reversals.
Evaluate Market Momentum: Leverage "+" labels for strong breakout signals caused by short suppression phases, indicating significant market moves.
Monitor Price Consolidation: Observe gray boxes and wave labels to understand ongoing consolidation phases.
Analyze RSI Behavior: Utilize the gradient strip to measure the longevity of suppressed volatility phases and anticipate breakout potential.
RSI Volatility Suppression Zones provides a powerful visual representation of RSI volatility suppression, breakout signals, and price consolidation, making it a must-have tool for traders seeking to anticipate market movements effectively.
크몽판매버전v1"This script is a breakout strategy that uses Bollinger Bands and MACD indicators for entry signals."
"This is an invite-only script designed for private trading setups."
캔들의 지지, 저항을 이용하여 역추세 매매 전략 사용, 이는 지지, 저항구간을 돌파하면 매매 신호 대기 중 지표를 이용하여 포지션 진입 후 macd를
Relative Risk MetricOVERVIEW
The Relative Risk Metric is designed to provide a relative measure of an asset's price, within a specified range, over a log scale.
PURPOSE
Relative Position Assessment: Visualizes where the current price stands within a user-defined range, adjusted for log scale.
Logarithmic Transformation: Utilizes the natural log to account for a log scale of prices, offering a more accurate representation of relative positions.
Calculation: The indicator calculates a normalized value via the function Relative Price = / log(UpperBound) − log(LowerBound) . The result is a value between 0 and 1, where 0 corresponds to the lower bound and 1 corresponds to the upper bound on a log scale.
VISUALIZATION
The indicator plots three series:
Risk Metric - a plot of the risk metric value that’s computed from an asset's relative price so that it lies within a logarithmic range between 0.0 & 1.0.
Smoothed Risk Metric - a plot of the risk metric that’s been smoothed.
Entry/Exit - a scatter plot for identified entry and exit. Values are expressed as percent and are coded as red being exit and green being entity. E.g., a red dot at 0.02 implies exit 2% of the held asset. A green dot at 0.01 implies use 1% of a designated capital reserve.
USAGE
Risk Metric
The risk metric transformation function has several parameters. These control aspects such as decay, sensitivity, bounds and time offset.
Decay - Acts as an exponent multiplier and controls how quickly dynamic bounds change as a function of the bar_index.
Time Offset - provides a centering effect of the exponential transformation relative to the current bar_index.
Sensitivity - controls how sensitive to time the dynamic bound adjustments should be.
Baseline control - Serves as an additive offset for dynamic bounds computation which ensures that bounds never become too small or negative.
UpperBound - provides headroom to accomodate growth an assets price from the baseline. For example, an upperbound of 3.5 accommodates a 3.5x growth from the baseline value (e.g., $100 -> $350).
LowerBound - provides log scale compression such that the overall metric provides meaningful insights for prices well below the average whilst avoiding extreme scaling. A lowerbound of 0.25 corresponds to a price that is approx one quarter of a normalised baseline in a log context.
Weighted Entry/Exit
This feature provides a weighted system for identifying DCA entry and exit. This weighting mechanism adjusts the metric's interpretation to highlight conditions based on dynamic thresholds and user-defined parameters to identify high-probability zones for entry/exit actions and provide risk-adjusted insights.
Weighting Parameters
The weighting function supports fine-tuning of the computed weighted entry/exit values
Base: determines the foundational multiplier for weighting the entry/exit value. A higher base amplifies the weighting effect, making the weighted values more pronounced. It acts as a scaling factor to control the overall magnitude of the weighting.
Exponent: adjusts the curve of the weighting function. Higher exponent values increase sensitivity, emphasizing differences between risk metric values near the entry or exit thresholds. This creates a steeper gradient for the computed entry/exit value making it more responsive to subtle shifts in risk levels.
Cut Off: specifies the maximum percentage (expressed as a fraction of 1.0) that the weighted entry/exit value can reach. This cap ensures the metric remains within a meaningful range and avoids skewing
Exit condition: Defines a threshold for exit. When the risk metric is below the exit threshold (but above the entry threshold) then entry/exit is neutral.
Entry condition: Defines a threshold for entry. When the risk metric is above the entry threshold (but below the exit threshold) then entry/exit is neutral.
Weighting Behaviour
For entry conditions - value is more heavily weighted as the metric approaches the entry threshold, emphasizing lower risk levels.
For exit conditions - value is more heavily weighted as the metric nears the exit threshold, emphasizing increased risk levels.
USE-CASES
Identifying potential overbought or oversold conditions within the specified logarithmic range.
Assisting in assessing how the current price compares to historical price levels on a logarithmic scale.
Guiding decision-making processes by providing insights into the relative positioning of prices within a log context
CONSIDERATIONS
Validation: It's recommended that backtesting over historical data be done before acting on any identified entry/exit values.
User Discretion: This indicator focus on price risk. Consider other risk factors and general market conditions as well.
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HortaCapital Strategy BOT (AS)Implementación del modelo creador de mercado Avellaneda y Stoikov (A&S)
Mrphin's Awesome IndicatorA collection of all my favourite indicators to identify key points to sell puts and calls and potential breakouts.
NIFTY BANKNIFTY MIDCAP SENSEX FINNIFTY LEVELS)this indicator uses Gann's methods which are based on the idea that markets move in predictable geometric patterns and are influenced by time and price.
Key Concepts of Gann Levels:
Gann Angles:
Gann believed that specific angles could indicate the trend of a market. The most notable is the 45-degree angle, which he called the "1x1" or "45-degree line."
Angles are drawn from a significant price point, such as a high or low, and represent the speed or slope of the price movement.
Gann Square of 9:
A mathematical tool that calculates support and resistance levels based on the square root of numbers and their geometric relationships.
It aligns numbers in a spiral format, starting from a central point, and helps identify key price levels at certain degrees.
Gann Fan:
A series of lines drawn at specific angles from a significant high or low. Common angles include 1x1 (45°), 2x1 (26.25°), and 1x2 (63.75°).
These angles help traders identify potential areas where the trend might accelerate, decelerate, or reverse.
Gann Retracements:
Levels based on key price ratios derived from natural laws and geometric principles. Common Gann retracement levels include 12.5%, 25%, 50%, and 75%.
Time Analysis:
Gann emphasized the importance of time cycles. He believed markets move in time-based patterns, such as yearly cycles, seasonal cycles, or specific time intervals.
Intraday Leading Indicator Strategy DHRUPAL JOSHIUseful for intraday and swing trading
Use Strategy before making proper analysis
Bollinger Bands with 50 SMABollinger Band and 50 Simple Moving Average.
One has to boy when 50 SMA rising and bollinger band alltogether.
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.
EMAs - JuanliveIndicador 1: EMAs - Juanlive
Este indicador muestra tres medias móviles exponenciales (EMAs): la EMA 20, EMA 50, y EMA 200.
Propósito: Identificar tendencias principales y dinámicas del mercado.
Interpretación:
EMA 20: Señales rápidas para movimientos de corto plazo.
EMA 50: Confirma tendencias intermedias.
EMA 200: Define la tendencia principal (alcista o bajista).
Uso: Ideal para seguir la dirección de la tendencia y detectar cruces importantes.
Highlight Stocks by Initial Balance vs ATR (RTH)This indicators updates stocks when the IB is between 0.25 and 0.5 ATR
Qobavision indicatorEl "Qobavision Indicator" es una herramienta personalizada diseñada para identificar la acción del precio en relación con bandas dinámicas basadas en una EMA (Media Móvil Exponencial) de longitud configurable. Este indicador proporciona una guía visual clara mediante colores personalizados en las velas, según su posición con respecto a las bandas:
Velas verdes: El precio cierra por encima de la banda superior, lo que puede indicar un impulso alcista.
Velas rojas: El precio cierra por debajo de la banda inferior, lo que puede señalar un impulso bajista.
Velas grises: El precio cierra dentro de las bandas, indicando una posible consolidación o rango.
El ancho de las bandas se calcula utilizando un multiplicador configurable del ATR (Rango Verdadero Promedio), lo que permite que las bandas se ajusten dinámicamente a la volatilidad del mercado. Además, el indicador incluye opciones de personalización avanzadas, como colores para las velas y el fondo de las bandas, junto con la transparencia del relleno.
Características clave:
Configuración flexible de la longitud de la EMA y el multiplicador del ATR.
Personalización de colores para las velas y el fondo de las bandas.
Identificación visual clara de diferentes condiciones del mercado.
Adecuado para traders de todos los niveles que deseen analizar tendencias y volatilidad en cualquier temporalidad.
Candle Sequence Identifier1. **EMA Overlay**: Calculates and plots three EMAs (27, 100, 200) on the chart to show market trends.
2. **Candle Sequence Detection**: Identifies bullish and bearish candle patterns based on specific sequences:
- Buy signal: Two consecutive bearish candles followed by a bullish candle.
- Sell signal: Two consecutive bullish candles followed by a bearish candle.
3. **Risk-to-Reward Levels**: Calculates entry, stop loss, and take profit levels based on the current price and user-defined risk-to-reward ratio.
4. **Alerts and Visualizations**:
- Alerts notify you of buy/sell opportunities with calculated levels.
- Plots entry, stop loss, and take profit levels for easy visualization on the chart.
5. **Interactive Inputs**: Includes adjustable parameters like risk-to-reward ratio and stop loss offset for customization.
Kaldıraçlı İşlem StratejisiKaldıraçlı İşlem Stratejisi Kaldıraçlı İşlem Stratejisi Kaldıraçlı İşlem Stratejisi
RSI Crossover Scanner gökhanssssrsi kes RSI ve MA kesişimleri için Pine Script, bu sinyalleri belirlemenin en etkili yoludur.
TradingView'in tarayıcı özelliğiyle RSI verilerini tarayabilir, ancak kesişimler için özel bir indikatör kullanmak daha iyi sonuç verecektir.
Ekstra Adım: Kesişimler için uyarılar oluşturduktan sonra manuel tarama yerine otomatik uyarı sistemi kurabilirsiniz.b
ADX, RSI, & TSI utilized as ARTI [by KeremErtem]The ARTI indicator, designed by Kerem Ertem, merges the power of three technical analysis tools: the Average Directional Index (ADX), the Relative Strength Index (RSI), and the True Strength Index (TSI). By combining these indicators, ARTI provides a comprehensive view of market momentum, trend strength, and potential reversals. This unique approach aims to offer a more robust and reliable signal for traders to make informed decisions.
How It Works:
Source Input: The primary data source is hlc3 (High, Low, Close average), but you can customize it as needed.
Smoothing: The smoothing parameter (l0) helps in reducing noise for clearer signals.
Signal Period & Lookback Range: These parameters (l1 and l2) define the period for signal calculation and the range for historical data analysis.
Indicator Components:
ACI Function:
The ACI function calculates an adjusted price angle, providing a unique perspective on price movements.
It uses lowest and highest prices within a lookback range to calculate an average (sf0), deviation (sf1), and the angle (sf3).
Relative Strength Index (RSI):
RSI is calculated over a specified length (goguz) and smoothed using the ACI function to provide a refined measure of price momentum.
Average Directional Index (ADX):
ADX, along with its positive (dip) and negative (dim) directional movement indicators, measures trend strength.
It is smoothed with the ACI function to enhance its reliability.
ARTI Indicator Calculation:
The ARTI indicator combines the smoothed RSI and ADX values.
It applies the True Strength Index (TSI) to the average of these smoothed values to generate the ARTI signal.
The signal is further refined with weighted average (ALMA) and standard deviation calculations to define upper, lower, and center bands.
Usage:
ART Signal Line: Plotted with color changes indicating bullish (#00ffbb) or bearish (#ff1100) trends based on directional changes.
Upper and Lower Bands: Define potential price reversal zones, providing visual cues for overbought or oversold conditions.
Center Line: Represents the average price level, helping traders understand the general price trend.
By combining these multiple technical indicators, the ARTI script provides a multifaceted view of the market, helping traders identify potential entry and exit points with greater accuracy. Use this script to enhance your trading strategies by understanding the underlying trends, momentum, and potential reversals in the market.
Feel free to experiment with different parameter settings to tailor the indicator to your specific trading style and preferences. Happy trading! 📈
RSI Strategy with 125-Day High and Volume Filter//@version=6
strategy("RSI Strategy with 125-Day High and Volume Filter", overlay=true)
// Input variables
length = input(14, title="RSI Length")
overSold = input(30, title="Oversold Level")
overBought = input(70, title="Overbought Level")
price = close
// RSI Calculation
vrsi = ta.rsi(price, length)
// Conditions for RSI crossover
co = ta.crossover(vrsi, overSold)
cu = ta.crossunder(vrsi, overBought)
// 125-day high calculation
high_125 = ta.highest(high, 125)
// Crossing conditions for 125-day high
cross_above_high_125 = ta.crossover(price, high_125)
cross_below_high_125 = ta.crossunder(price, high_125)
// Volume condition: Check if current volume is at least 2 times the previous volume
volume_increased = volume > 2 * volume
// Entry logic for RSI and 125-day high with volume filter
if (not na(vrsi))
if (co and volume_increased)
strategy.entry("RsiLE", strategy.long, comment="RsiLE")
if (cu and volume_increased)
strategy.entry("RsiSE", strategy.short, comment="RsiSE")
// Entry logic for 125-day high crossing with volume filter
if (cross_above_high_125 and volume_increased)
strategy.entry("BuyHigh125", strategy.long, comment="BuyHigh125")
if (cross_below_high_125 and volume_increased)
strategy.entry("SellHigh125", strategy.short, comment="SellHigh125")
// Plot the 125-day high for visualization
plot(high_125, title="125-Day High", color=color.orange, linewidth=2, style=plot.style_line)
Y 1//@version=5
indicator("RSI Bull and Bear + ADX Indicator", shorttitle="RSI_ADX_Indicator", overlay=true)
// Input settings
SMA_long = input.int(50, title="SMA Long", minval=1)
SMA_short = input.int(20, title="SMA Short", minval=1)
MA_type = input.string("EMA", title="MA Type", options= )
BULL_RSI = input.int(7, title="Bull RSI", minval=1)
BEAR_RSI = input.int(10, title="Bear RSI", minval=1)
BULL_RSI_high = input.int(70, title="Bull RSI High")
BULL_RSI_low = input.int(30, title="Bull RSI Low")
BEAR_RSI_high = input.int(60, title="Bear RSI High")
BEAR_RSI_low = input.int(20, title="Bear RSI Low")
ADX_period = input.int(10, title="ADX Period", minval=1)
ADX_high = input.int(50, title="ADX High")
ADX_low = input.int(20, title="ADX Low")
ATR_period = input.int(14, title="ATR Period", minval=1)
ATR_threshold = input.float(1.5, title="ATR Threshold")
Volume_multiplier = input.float(1.5, title="Volume Multiplier")
// Moving Average Selection
maSlow = MA_type == "SMA" ? ta.sma(close, SMA_long) : MA_type == "EMA" ? ta.ema(close, SMA_long) : ta.wma(close, SMA_long)
maFast = MA_type == "SMA" ? ta.sma(close, SMA_short) : MA_type == "EMA" ? ta.ema(close, SMA_short) : ta.wma(close, SMA_short)
// Calculations
bull_rsi = ta.rsi(close, BULL_RSI)
bear_rsi = ta.rsi(close, BEAR_RSI)
= ta.dmi(ADX_period, adxSmoothing=14)
atr = ta.atr(ATR_period)
avg_volume = ta.sma(volume, 20)
high_volume_condition = volume > avg_volume * Volume_multiplier
// Conditions
bull_trend = maFast > maSlow
bear_trend = maFast < maSlow
bull_rsi_high = bull_rsi > BULL_RSI_high
bull_rsi_low = bull_rsi < BULL_RSI_low
bear_rsi_high = bear_rsi > BEAR_RSI_high
bear_rsi_low = bear_rsi < BEAR_RSI_low
adx_high_condition = adx > ADX_high
atr_condition = atr > ATR_threshold
long_condition = ((bull_trend and bull_rsi_low and adx_high_condition) or (bear_trend and bear_rsi_low and adx_high_condition)) and atr_condition and high_volume_condition
short_condition = ((bull_trend and bull_rsi_high) or (bear_trend and bear_rsi_high)) and atr_condition and high_volume_condition
// Plotting
plot(maSlow, color=bull_trend ? color.green : color.red, title="SMA Long")
plot(maFast, color=bull_trend ? color.green : color.red, title="SMA Short")
hline(BULL_RSI_high, title="Bull RSI High", color=color.green)
hline(BULL_RSI_low, title="Bull RSI Low", color=color.green)
hline(BEAR_RSI_high, title="Bear RSI High", color=color.red)
hline(BEAR_RSI_low, title="Bear RSI Low", color=color.red)
bgcolor(bull_trend ? color.new(color.green, 90) : bear_trend ? color.new(color.red, 90) : na, title="Trend Background")
// Signal Plotting
plotshape(series=long_condition, location=location.belowbar, color=color.green, style=shape.labelup, title="Long Signal")
plotshape(series=short_condition, location=location.abovebar, color=color.red, style=shape.labeldown, title="Short Signal")
Squeeze Momentum Indicator v1 by KevyStocksReach out for my exact settings.
Some things I would like to change/add in the next version are: \
Allow plot sizes to be customizable
Default arrow colors to red or green
Squeeze Dashboard - when in a squeeze, and when squeeze released to upside, and squeeze released to downside.
Add Previous Day High
Add Previous Day Low
Add Previous Day 50% Marker
Add Golden Pocket Fibonacci
Bull Run Indicator with EMA CrossoverFeatures:
High Volume: Volume is significantly higher than the 20-bar average, using a customizable multiplier (volumeThreshold).
Breaking Resistance: A buy signal is triggered when the price closes above the highest high over a specified lookback period (srLookback).
Breaking Support: A sell signal is triggered when the price closes below the lowest low over the same lookback period.
Signals:
Buy Signal: High volume and breaking resistance.
Sell Signal: High volume and breaking support.
Visualization:
Buy and Sell signals are shown as labels on the chart.
Support and Resistance levels are displayed as dashed lines for context.
You can adjust the lookback period (srLookback) and volume sensitivity (volumeThreshold) as needed. Let me know if you need further enhancements!
크몽판매버전v1크몽판매버전v1
1시간봉 지지, 저항 돌파 후 추세추종 전략을 사용하여 자동매매 전략
4년간 15,000,000% 레버리지 800%, 수수료 0.06% 기준
이 전략의 장점 :
1. 강한추세 발생 시 시드가 늘어나는 전략
2. 매매 횟수가 적어 수수료 부담 적음
3. 비교적 타 자동매매 레버리지 비율보다 높게 셋팅해도 4년간 청산이 발생x
-> 5~9배 사이로 레버리지 자유롭게 셋팅
4. 분할 진입 없음
5. 추세가 발생하지 않을때는 대부분 약익절, 약손절로 포지션 종료가능
-> 승률 약 78%
* 이 전략에 흥미가 있는경우 연락요망
Advantages of This Strategy:
The strategy increases the seed capital when a strong trend occurs.
Fewer trades, resulting in lower commission costs.
Even with higher leverage settings compared to other automated trading strategies, there have been no liquidations over 4 years. -> Leverage can be freely set between 5x to 9x.
No partial entry.
When a trend does not occur, most positions can be closed with small profits or small losses. -> Win rate is about 78%.
*If you are interested in this strategy, please contact me.