StochRSI Overbought/Oversold Alert on Multiple TimeframesAlert yourself when it is oversold or overbought on 4 timeframes: 15m, 30m, 1h, and 4h.
متذبذبات
RSI with Merged SMA (RSI Shifted)rsi with merged sma and rsi shifted ; you can find out where exactly buy and sell
Directional Movement Index - CAFDirectional Movement Index with improved color pattern and 25 point horizontal line
Hybrid Trend Momentum Strategy by Biege ver. 1.0Strategy Profile
Type: Fixed-Parameter Trend Momentum System
Optimized For: 2-Hour Timeframe (Best Performance)
Core Logic:
Uses fixed 21/55/200 EMAs for trend identification
Combines RSI(14) momentum filter with SuperTrend(3,14) stop
Requires 1.5x volume surge + ATR volatility confirmation
===========================================================================
Hourly Profitability Drivers
EMA Precision
21-period EMA (~1 trading day) captures intraday swings
55-period EMA (~2.5 days) filters false hourly breakouts
RSI Stability
14-period RSI aligns with 14-hour cycles in crypto markets
Avoids overreaction to 15-minute noise
SuperTrend Efficiency
3x ATR(14) provides optimal trailing stop for hourly candles
Outperforms static stops in volatile crypto sessions
===========================================================================
Key Strengths
No Parameter Tweaking Needed: Pre-optimized for hourly candles
Trend Persistence Capture: Holds through minor pullbacks
Automatic Risk Control: Built-in cooldown (6h) prevents overtrading
===========================================================================
Critical Limitations
Overnight Gap Risk: Crypto markets move 24/7
News Event Vulnerability: Hourly candles may trap during FOMO spikes
Fixed Exit Rigidity: No manual stop-loss adjustments allowed
===========================================================================
Safety Protocol Notes
Ideal Conditions
Strong trending markets (≥3% daily moves)
High-volume crypto pairs (BTC/ETH majors preferred)
Avoid When
Consolidation phases (EMA crossovers lag)
Low-volume periods (weekends/holidays)
===========================================================================
Profitability Summary
This strategy capitalizes on:
Hourly chart momentum persistence
Crypto's tendency for multi-hour trends
Fixed parameters optimized through volatility cycles
Critical Reminder: Changing any values voids the hourly optimization advantage. Performance degrades significantly on lower (15m/5m) or higher (4h/daily) timeframes due to parameter mismatch
ROBOT RSI V6 inputRobot (test pas complet) qui prends position en se basant sur un croisement des MM et sur les achats et surventes du RSI
Combined Indicator with MACD, Stochastic, RSI, and EMA jdltsm75El indicador combina varias herramientas técnicas, como medias móviles (MA y EMA), el MACD, el RSI estocástico y señales visuales, para ayudar a los traders a identificar oportunidades de compra y venta en los mercados financieros. Aquí se detalla su uso:
Identificación de Tendencias:
Las medias móviles simples (MA) y exponenciales (EMA) ayudan a identificar la dirección general del mercado (alcista o bajista).
Los cruces de las MA y EMA (crossover o crossunder) generan señales visuales para posibles entradas o salidas.
Confirmación de Entradas y Salidas:
El MACD se utiliza para confirmar la fuerza de la tendencia y detectar posibles cambios en el impulso del mercado.
El RSI estocástico complementa esta confirmación mostrando niveles de sobrecompra y sobreventa.
Señales de Compra y Venta:
Una señal de compra ocurre cuando:
El EMA más rápido cruza hacia arriba el EMA más lento.
El MACD confirma con un cruce alcista.
El RSI estocástico está saliendo de niveles de sobreventa.
Una señal de venta ocurre cuando:
El EMA más rápido cruza hacia abajo el EMA más lento.
El MACD confirma con un cruce bajista.
El RSI estocástico está saliendo de niveles de sobrecompra.
Alertas en Tiempo Real:
El indicador incluye alertas configurables para notificar a los usuarios cuando se cumplen las condiciones de compra o venta.
Visualización Clara:
Las MA, EMA, y las líneas del MACD se trazan directamente sobre el gráfico.
Las señales de compra y venta se muestran con iconos visuales, haciendo que la interpretación sea rápida y sencilla.
Uso recomendado: Este indicador es ideal para traders que buscan confirmar sus entradas y salidas con múltiples herramientas técnicas, combinando señales para reducir falsos positivos. Se puede aplicar en mercados de acciones, criptomonedas, divisas, entre otros.
Breakout Trading with RSI and ATR Enhancements 2.0 MENATitle: Breakout Trading with RSI and ATR Enhancements
Description:
This script combines key technical analysis tools, including RSI, ATR, and moving averages, to provide breakout trading signals with enhanced precision. Designed for traders who want to capture market breakouts while filtering false signals, this script integrates the following components:
ATR-Based Breakout Levels:
The script calculates upper and lower breakout levels using the Average True Range (ATR). These levels are dynamically adjusted to reflect recent volatility, helping traders identify potential price breakout zones.
RSI Signals (Buy and Sell):
RSI Buy Signal: The script identifies oversold conditions (RSI < 30) in an uptrend, confirmed by price trading above the longer-term moving average (200-period SMA).
RSI Sell Signal: The script identifies overbought conditions (RSI > 70) in a downtrend, confirmed by price trading below the longer-term moving average.
These signals help traders detect potential reversals and avoid trading against the trend.
Moving Average Crossovers:
Short-term and long-term moving averages are included to detect momentum shifts. The crossover of a short-period MA (9) and a long-period MA (21) acts as an additional confirmation for entry and exit points.
Custom Alerts for Breakouts and RSI Signals:
Alerts are built into the script, enabling traders to receive real-time notifications for breakout levels or when RSI-based buy/sell conditions are met.
How It Works:
The script uses ATR to determine dynamic breakout zones based on the highest resistance and lowest support within a specified lookback period.
The RSI-based signals are filtered using the 200-period moving average, ensuring signals align with the dominant trend.
Moving average crossovers provide additional confirmation for trend reversals.
How to Use:
Breakout Trading: Monitor the breakout levels plotted on the chart (green for upper and red for lower levels). Enter a trade when the price crosses these levels and aligns with the trend.
RSI Signals: Look for RSI Buy/Sell labels on the chart to identify potential entry and exit points. These signals are filtered to avoid whipsaws in trending markets.
Alerts: Set custom alerts for breakout levels or RSI signals using the built-in alert conditions for seamless trading.
Why It’s Useful:
This script combines volatility-based breakout detection with trend-following RSI signals, providing a robust framework for breakout traders. By filtering signals based on moving averages and ATR levels, it minimizes noise and helps traders focus on high-probability setups.
Note:
This script is designed for educational purposes and should be used alongside proper risk management and additional analysis.
Anmol's pivot - rsi - trendlines indicatorUse this indicator to detect pivots with favourable RSI and tendlines.
Invest SMA|MACD|ADX Long Weekly Strategy (BtTL)Diese Strategie kombiniert drei bewährte technische Indikatoren (SMA, MACD und ADX) für präzise Long-Einstiege auf dem Wochenchart.
Hauptmerkmale:
Einstiegssignale basieren auf einer Kombination aus SMA (30), MACD (9,18,9) und ADX (14)
Intelligentes Stop-Loss-Management durch Swing-Low-Erkennung
Trendbestätigung durch ADX > 25
Optimiert für Wochencharts
Konservatives Risikomanagement durch mehrfache Signalbestätigung
Einstiegsbedingungen:
Kurs über SMA
MACD über Signallinie und im positiven Bereich
ADX zeigt starken Trend (>25)
Ausstiegsstrategie:
Stop-Loss wird automatisch am vorletzten Swing-Low gesetzt
Position wird geschlossen, wenn der Kurs unter den SMA fällt
🇬🇧 English:
This strategy combines three proven technical indicators (SMA, MACD, and ADX) for precise long entries on the weekly chart.
Key Features:
Entry signals based on a combination of SMA (30), MACD (9,18,9), and ADX (14)
Intelligent stop-loss management through swing low detection
Trend confirmation using ADX > 25
Optimized for weekly charts
Conservative risk management through multiple signal confirmation
Entry Conditions:
Price above SMA
MACD above signal line and in positive territory
ADX showing strong trend (>25)
Exit Strategy:
Stop-loss automatically set at second-last swing low
Position closes when price falls below SMA
Two-Pole Oscillator [BigBeluga]
The Two-Pole Oscillator is an advanced smoothing oscillator designed to provide traders with precise market signals by leveraging deviation-based calculations combined with a unique two-pole filtering technique. It offers clear visual representation and actionable signals for smart trading decisions.
🔵Key Features:
Two-Pole Filtering: Smooths out the main oscillator signal to reduce noise, providing a cleaner and more reliable view of market momentum and trend strength.
// Two-pole smooth filter function
f_two_pole_filter(source, length) =>
var float smooth1 = na
var float smooth2 = na
alpha = 2.0 / (length + 1)
if na(smooth1)
smooth1 := source
else
smooth1 := (1 - alpha) * smooth1 + alpha * source
if na(smooth2)
smooth2 := smooth1
else
smooth2 := (1 - alpha) * smooth2 + alpha * smooth1
Deviation-Based Oscillator: Utilizes price deviations from the mean to generate dynamic signals, making it ideal for detecting overbought and oversold conditions.
float sma1 = ta.sma(close, 25)
float sma_n1 = ((close - sma1) - ta.sma(close - sma1, 25)) / ta.stdev(close - sma1, 25)
Signal Gradient Strength: Signals on the main oscillator line feature gradient coloring based on their proximity to the 0 level:
➔ Closer to 0: More transparent, indicating weaker signals.
➔ Closer to 1 or -1: Less transparent, highlighting stronger signals.
Level-Based Signal Validation: Parallel levels are plotted on the chart for each signal:
➔ If a level is crossed by price, the signal is invalidated, marked by an "X" at the invalidation point.
Trend Continuation
Invalidation Levels: Serve as potential stop-loss or trade-reversal zones, enabling traders to make more informed and disciplined trading decisions.
Dynamic Chart Plotting: Signals are plotted directly on the chart with corresponding levels, providing a comprehensive visual representation for easy interpretation.
🔵How It Works:
The oscillator calculates price deviation from a mean value and applies two-pole filtering to smooth the resulting signal.
Gradient-colored signals reflect their strength, with transparency indicating proximity to the 0 level on the oscillator scale.
Buy and sell signals are generated based on crossovers and crossunders of the oscillator line with a signal line.
If a level is crossed, the corresponding signal is marked with a "X" plotted on the chart at the crossover point.
🔵Use Cases:
Detecting overbought or oversold market conditions with a smoother, noise-free oscillator.
Using invalidation levels to set clear stop-loss or trade exit points.
Identifying strong momentum signals and filtering out weaker, less reliable ones.
Combining oscillator signals with price action for more precise trade entries and exits.
This indicator is perfect for traders seeking a refined approach to oscillator analysis, combining signal strength visualization with actionable invalidation levels to enhance trading precision and strategy.
MACD RSI Strategy by BiegeThis strategy combines:
• MACD (Lagging Indicator): Confirms trend direction using moving averages.
• RSI (Leading Indicator): Identifies overbought/oversold conditions for potential reversal signals.
Entry Signal: When the MACD confirms a bullish trend (MACD line crosses above the signal line) and the RSI is oversold (below the defined threshold).
Exit Signal: Stop loss, take profit, or a bearish MACD crossover (MACD line crosses below the signal line).
This strategy emphasizes risk management through:
1. Balanced Indicators: Combining a leading and lagging indicator attempts to balance responsiveness and reliability.
2. Position Sizing: Limiting the percentage of capital used per trade controls potential losses on any single trade.
3. Cooldown Period: This helps prevent emotional trading and chasing losses.
4. Stop Loss Orders: Stop losses are crucial for limiting losses if a trade moves against your position.
This strategy is designed to perform best in markets with clear trends and moderate volatility. It's important to be aware of its limitations and avoid using it during:
• Earnings reports or major news events: Fundamental analysis is more appropriate in these situations.
• Extreme bear markets or extended periods of consolidation: MACD can lag significantly during sustained downtrends, and RSI can generate numerous false signals in choppy markets.
• Low-liquidity periods: Low liquidity can lead to slippage and wider spreads, which can negatively impact profitability.
By combining leading (RSI) and lagging (MACD) indicators and emphasizing risk management, this strategy aims to provide a relatively balanced and safer approach to trend following. However, no trading strategy can guarantee profits, and all trading involves risk. It's essential to understand the risks involved and to trade responsibly.
9/21 EMA_DSWThe 9 and 21 EMA strategy involves using the 9-day and 21-day exponential moving averages to identify potential buy and sell signals. A buy signal is generated when the 9 EMA crosses above the 21 EMA, and a sell signal is generated when the 9 EMA crosses below the 21 EMA.
SlingShot with Multiple EMAs and RSIOriginal sling shot Code written by @TaPlot and edited by Ruchit for multiple ema and RSI and exit condition as per my need
Volatility Regime Indicator (VRI)This indicator allows you to weight 3 variables.
1. The term spread (3rd Month Vix Contract - VIX)
2.The Volatility Risk Premium (VIX - Historical Volatility) 10 day historical volatility by default
3.SPX Momentum (Short EMA vs Long EMA)
Play with the weightings and variable to suit your approach.
hector mena Breakout Trading with ATR, RSI and MA CrossTitle: Breakout Trading Strategy with ATR, RSI, and Moving Average Cross
Description (English):
This script combines key technical indicators—ATR (Average True Range), RSI (Relative Strength Index), and Moving Averages—to provide a comprehensive breakout trading strategy. It is designed to help traders identify significant breakout levels and confirm signals with momentum and trend analysis.
How It Works:
ATR for Breakout Levels:
The ATR is used to calculate dynamic breakout levels by adjusting the highest resistance and lowest support levels with a customizable multiplier. This ensures that breakout levels adapt to market volatility.
RSI for Momentum Confirmation:
The RSI identifies overbought and oversold conditions, providing an additional layer of confirmation for breakouts. A breakout accompanied by an RSI signal can indicate stronger momentum.
Moving Average Cross for Trend Validation:
Two simple moving averages (short-term and long-term) are included to validate the trend. A crossover suggests a potential change in trend, aligning with breakout signals.
Why Combine These Indicators?
The ATR ensures breakout levels are realistic and volatility-adjusted.
The RSI avoids false signals by confirming if the price has momentum during a breakout.
Moving Average crossovers add trend-following confirmation, helping traders align with market direction.
The combination provides a robust framework to filter out false signals and improve the reliability of trading decisions.
Key Features:
Breakout Levels: Upper and lower breakout levels dynamically calculated using ATR.
RSI Confirmation: Visual overbought (70) and oversold (30) levels and RSI plot.
Trend Validation: Short and long-term moving averages plotted on the chart with crossover signals.
Visual Alerts: Clear "BUY" and "SELL" labels for actionable signals.
Custom Alerts: Configurable alerts for breakouts and moving average crossovers.
How to Use It:
Adjust the parameters (ATR length, multiplier, RSI length, and moving averages) based on your trading strategy.
Look for "BUY" signals when:
Price breaks above the resistance level, and RSI indicates oversold conditions.
Moving averages cross bullishly.
Look for "SELL" signals when:
Price breaks below the support level, and RSI indicates overbought conditions.
Moving averages cross bearishly.
Use alerts for automated notifications about potential trades.
Notes:
This script is intended for educational purposes. Use it alongside proper risk management techniques and backtesting.
Always test in demo mode before applying it to live trading.
EMA Tabanlı Al-Sat Sinyalleri//@version=5
indicator("EMA Tabanlı Al-Sat Sinyalleri", overlay=true)
// Kullanıcı ayarları
emaLength = input.int(50, minval=1, title="EMA Uzunluğu")
smaLength = input.int(14, minval=1, title="SMA Uzunluğu")
atrLength = input.int(14, minval=1, title="ATR Uzunluğu")
stochRsiLength = input.int(14, minval=1, title="Stoch RSI Uzunluğu")
adxLength = input.int(14, minval=1, title="ADX Uzunluğu")
adxSmoothing = input.int(14, minval=1, title="ADX Smoothing")
mfiLength = input.int(14, minval=1, title="MFI Uzunluğu")
// EMA Hesaplama
ema = ta.ema(close, emaLength)
// ATR Hesaplama
atr = ta.atr(atrLength)
// Stoch RSI Hesaplama
k = ta.sma(ta.stoch(close, high, low, stochRsiLength), 3)
d = ta.sma(k, 3)
// ADX Hesaplama
= ta.dmi(adxLength, adxSmoothing)
// Al-Sat Şartları
alSinyali = ta.crossover(close, ema) and k > d and adx > 25
satSinyali = ta.crossunder(close, ema) and k < d and adx > 25
// Grafik İşaretçileri
plot(ema, color=color.blue, title="EMA")
plotshape(alSinyali, style=shape.labelup, location=location.belowbar, color=color.green, title="Al Sinyali")
plotshape(satSinyali, style=shape.labeldown, location=location.abovebar, color=color.red, title="Sat Sinyali")
// Al-Sat Sinyallerini Göster
if (alSinyali)
label.new(bar_index, low, "AL", style=label.style_label_up, color=color.green, textcolor=color.white)
if (satSinyali)
label.new(bar_index, high, "SAT", style=label.style_label_down, color=color.red, textcolor=color.white)
// Al ve Sat Sinyallerini İşaretle
bgcolor(alSinyali ? color.new(color.green, 90) : na)
bgcolor(satSinyali ? color.new(color.red, 90) : na)
// Al ve Sat Bildirimleri
alertcondition(alSinyali, title="Al Sinyali", message="Al Sinyali Tetiklendi!")
alertcondition(satSinyali, title="Sat Sinyali", message="Sat Sinyali Tetiklendi!")
ELITE QUADRO Stochastic RSI 4HQuadro Stochastic RSI 4H is for traders that wants to see signals from multiple timeframes.
It show 4H (1st StochRSI), 12H (2nd StochRSI), 1D (3rd StochRSI) and 1W (4th StochRSI).
Also gives BUY signal (when all lines are below 25)
and SELL signal (when all lines are above 75)
Keltner Channel + RSI / Owl of ProfitKeltner Channel + RSI Strategy
This strategy combines the Keltner Channel and RSI indicators to identify trading opportunities based on price levels and momentum.
Features
Keltner Channel
Calculated using EMA and ATR.
Upper and lower bounds provide a dynamic range for price action.
Default parameters:
EMA Period: 20
ATR Period: 10
ATR Multiplier: 1.5
RSI (Relative Strength Index)
Identifies overbought and oversold conditions.
Default parameters:
RSI Period: 14
Overbought Level: 70
Oversold Level: 30
Strategy Conditions
Long Entry
Price crosses above the lower Keltner Channel.
RSI is below the oversold level.
Short Entry
Price crosses below the upper Keltner Channel.
RSI is above the overbought level.
Exit Logic
Close Long
Price crosses below the EMA.
RSI rises above 50.
Close Short
Price crosses above the EMA.
RSI falls below 50.
Visualization
Keltner Channel:
Upper and lower bounds plotted with transparent fill for better clarity.
EMA line for midpoint reference.
RSI:
Plots RSI with dotted horizontal lines for overbought and oversold levels.
Signal Markers:
Buy (green) and Sell (red) labels plotted for entry signals.
This strategy is ideal for traders who want to combine price action with momentum-based signals to capture dynamic market moves.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
ZigZag + Fractals + SAR / Owl of ProfitZigZag + Fractals + SAR Strategy
This strategy combines ZigZag, Fractals, and Parabolic SAR to provide robust trading signals, ideal for identifying trend reversals and trade entries
Features
ZigZag
Tracks trend changes using defined depth and deviation parameters
Identifies "High" and "Low" pivots for trend movements
Fractals
Captures local highs (Fractal Up) and lows (Fractal Down), serving as potential reversal points
Parabolic SAR
Generates entry and exit signals based on price and SAR crossovers
Strategy Conditions
Long
Price crosses above SAR (SAR shifts below price)
ZigZag indicates an uptrend
A fractal down appears
Short
Price crosses below SAR (SAR shifts above price)
ZigZag indicates a downtrend
A fractal up appears
Exit Logic
Exit Long
SAR crosses above price
Exit Short
SAR crosses below price
Customization
ZigZag Parameters
Depth: 5 candles
Deviation: 5%
Parabolic SAR
Start: 0.02, Max: 0.2, Increment: 0.02
Option to visualize Fractals and SAR on the chart
This strategy is suitable for both short-term and long-term trades, allowing flexible customization for different market conditions
Visit my website for more tools and strategies bybitindicators.com
Happy trading!
BB + Stochastic Oscillator + ATR / Owl of ProfitBollinger Bands + Stochastic Oscillator + ATR Strategy
This strategy combines Bollinger Bands, the Stochastic Oscillator, and Average True Range (ATR) for trading opportunities based on volatility, momentum, and trend confirmation.
Features
Bollinger Bands:
Calculates dynamic upper and lower bands around a moving average.
Identifies overbought and oversold price levels.
Stochastic Oscillator:
Detects momentum shifts in overbought (>80) and oversold (<20) regions.
%K and %D crossings confirm entry points.
ATR Integration:
Measures market volatility.
Confirms signals by requiring ATR to exceed a threshold for valid trades.
Strategy Logic
Buy Condition:
Price closes below the lower Bollinger Band, signaling oversold conditions.
Stochastic %K crosses above %D in the oversold region (<20).
ATR is above the calculated ATR threshold, confirming sufficient volatility.
Sell Condition:
Price closes above the upper Bollinger Band, signaling overbought conditions.
Stochastic %K crosses below %D in the overbought region (>80).
ATR is above the calculated ATR threshold.
Exit Strategy:
Uses ATR-based Stop Loss and Take Profit levels for dynamic risk management.
Visualization
Bollinger Bands: Blue basis, red upper band, green lower band, and light blue fill.
Stochastic Oscillator: Purple %K, orange %D, with overbought (80) and oversold (20) levels.
ATR: Visualized with a blue line and a gray ATR threshold for better analysis of market conditions.
Customization
Bollinger Bands:
Default Length: 20
Default Multiplier: 2.0
Stochastic Oscillator:
%K Length: 14
%D Smoothing: 3
ATR:
Default Length: 14
Default Multiplier: 1.5
Stop Loss and Take Profit:
Based on ATR for dynamic trade exits.
This strategy is ideal for traders looking to capitalize on volatility and momentum signals, with added confirmation from ATR to filter out low-volatility environments.
Visit my website for more tools and strategies: bybitindicators.com
Happy Trading! 😊
Wave Trend Oscillator (LazyBear) / Owl of Profit remakeWave Trend Oscillator Strategy (by LazyBear)
This strategy leverages the powerful WaveTrend Oscillator developed by LazyBear to identify overbought and oversold market conditions, providing dynamic signals for trend-based trading.
Features
WaveTrend Oscillator (WT):
Calculates two smoothed WaveTrend lines (WT1 and WT2) for visualizing momentum.
Uses channel and average lengths to adjust sensitivity.
Overbought/Oversold Levels:
Predefined levels for detecting extreme price conditions:
Overbought: 60, 53.
Oversold: -60, -53.
Fully customizable levels to match different trading preferences.
Color-Coded Visualization:
WT1 (green) and WT2 (red) show smoothed momentum oscillations.
Area between WT1 and WT2 filled in blue for additional clarity.
Strategy Logic
Long Entry Condition:
WT1 crosses above WT2, indicating a bullish reversal.
WT1 is below the Oversold Level (-60) during the crossover.
Short Entry Condition:
WT1 crosses below WT2, signaling a bearish reversal.
WT1 is above the Overbought Level (60) during the crossover.
Exit Logic:
Positions are automatically closed based on opposing signals.
Customization
Oscillator Lengths:
Channel Length (n1): Default 10.
Average Length (n2): Default 21.
Overbought/Oversold Levels:
Default Levels: 60 (Overbought), -60 (Oversold).
Optional secondary levels for finer adjustments.
Visual Enhancements:
Overlay the oscillator with additional chart elements for trend confirmation.
This strategy is ideal for traders looking to combine momentum analysis with overbought/oversold signals, ensuring precise entries and exits in trending markets.
Visit my website for more tools and strategies: bybitindicators.com
Happy Trading! 😊
BB + RSI, Double Strategy (by ChartArt) / Owl of Profit remakeSpecial thanks to ChartArt for the original concept and inspiration.
This strategy combines Bollinger Bands with the Relative Strength Index (RSI) to identify overbought and oversold conditions, providing precise entry and exit points.
Features:
Bollinger Bands:
Measures volatility and price deviations from the SMA.
Period Length: 200 (default).
Standard Deviation Multiplier: 2.0 (default).
Helps identify potential reversal zones at the upper and lower bands.
Relative Strength Index (RSI):
A momentum oscillator to measure overbought and oversold conditions.
Length: 6 (default).
Overbought Level: 50 (default).
Oversold Level: 50 (default).
Entry and Exit Logic:
Long Entry:
RSI crosses above the oversold level (50).
Price crosses above the lower Bollinger Band.
Short Entry:
RSI crosses below the overbought level (50).
Price crosses below the upper Bollinger Band.
Exit Logic:
Long positions are closed when the price and RSI criteria for a short entry are met.
Short positions are closed when the price and RSI criteria for a long entry are met.
Visualization:
Bollinger Bands:
Plotted with the basis (aqua line), upper band (silver), and lower band (silver).
Background fill highlights the bands.
Bar and Background Colors:
Green for bullish conditions (price below the lower band and RSI below the oversold level).
Red for bearish conditions (price above the upper band and RSI above the overbought level).
Customization:
Adjustable Bollinger Bands and RSI parameters to fit different market conditions.
Optional bar and background coloring for enhanced chart readability.
This strategy is ideal for traders looking to combine volatility and momentum analysis for high-probability entries and exits.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
Helicopter Volatility Detector v4This Indicator designed to measure market volatility specifically during reversal phases, while ignoring periods of strong trending movements. It helps traders identify when the market is experiencing frequent and significant price reversals, which are often accompanied by increased volatility.
This indicator is suitable for those who want to understand when there is high volatility in the market, such as when Jerome Powell speaks or economic data is released. It can help identify periods when large leveraged positions are likely to be liquidated.
