Multi-Timeframe Confluence IndicatorThe Multi-Timeframe Confluence Indicator strategically combines multiple timeframes with technical tools like EMA and RSI to provide robust, high-probability trading signals. This combination is grounded in the principles of technical analysis and market behavior, tailored for traders across all styles—whether intraday, swing, or positional.
1. The Power of Multi-Timeframe Confluence
Markets are influenced by participants operating on different time horizons:
• Intraday traders act on short-term price fluctuations.
• Swing traders focus on intermediate trends lasting days or weeks.
• Position traders aim to capture multi-month or long-term trends.
By aligning signals from a higher timeframe (macro trend) with a lower timeframe (micro trend), the indicator ensures that short-term entries are in harmony with the broader market direction. This multi-timeframe approach significantly reduces false signals caused by temporary market noise or counter-trend moves.
Example: A bullish trend on the daily chart (higher timeframe) combined with a bullish RSI and EMA alignment on the 15-minute chart (lower timeframe) provides a stronger confirmation than relying on the 15-minute chart alone.
2. Why EMA and RSI Are Essential
Each element of the indicator serves a unique role in ensuring accuracy and reliability:
• EMA (Exponential Moving Average):
• A dynamic trend filter that adjusts quickly to price changes.
• On the higher timeframe, it establishes the overall trend direction (e.g., bullish or bearish).
• On the lower timeframe, it identifies precise entry/exit zones within the trend.
• RSI (Relative Strength Index):
• Adds a momentum-based perspective, confirming whether a trend is backed by strong buying or selling pressure.
• Ensures that signals occur in areas of strength (RSI > 55 for bullish signals, RSI < 45 for bearish signals), filtering out weak or uncertain price movements.
By combining EMA (trend) and RSI (momentum), the indicator delivers confluence-based validation, where both trend and momentum align, making signals more reliable.
3. Cooldown Period for Signal Optimization
Trading in choppy or sideways markets often leads to overtrading and false signals. The cooldown period ensures that once a signal is generated, subsequent signals are suppressed for a defined number of bars. This prevents traders from entering low-probability trades during indecisive market phases, improving overall signal quality.
Example: After a bullish confluence signal, the cooldown period prevents a bearish signal from being triggered prematurely if the market enters a temporary retracement.
4. Use Cases Across Trading Styles
This indicator caters to various trading styles, each benefiting from the confluence of timeframes and technical elements:
• Intraday Trading:
• Use a 1-hour chart as the higher timeframe and a 5-minute chart as the lower timeframe.
• Benefit: Align intraday entries with the hourly trend for higher win rates.
• Swing Trading:
• Use a daily chart as the higher timeframe and a 1-hour chart as the lower timeframe.
• Benefit: Capture multi-day moves while avoiding counter-trend entries.
• Scalping:
• Use a 30-minute chart as the higher timeframe and a 1-minute chart as the lower timeframe.
• Benefit: Enhance scalping efficiency by ensuring short-term trades align with broader intraday trends.
• Position Trading:
• Use a weekly chart as the higher timeframe and a daily chart as the lower timeframe.
• Benefit: Time long-term entries more precisely, maximizing profit potential.
5. Robustness Through Customization
The indicator allows traders to customize:
• Timeframes for higher and lower analysis.
• EMA lengths for trend filtering.
• RSI settings for momentum confirmation.
• Cooldown periods to adapt to market volatility.
This flexibility ensures that the indicator can be tailored to suit individual trading preferences, market conditions, and asset classes, making it a comprehensive tool for any trading strategy.
Why This Mashup Stands Out
The Multi-Timeframe Confluence Indicator is more than a sum of its parts. It leverages:
• EMA’s ability to identify trends, combined with RSI’s insight into momentum, ensuring each signal is well-supported.
• A multi-timeframe perspective that incorporates both macro and micro trends, filtering out noise and improving reliability.
• A cooldown mechanism that prevents overtrading, a common pitfall for traders in volatile markets.
This integration results in a powerful, adaptable indicator that provides actionable, high-confidence signals, reducing uncertainty and enhancing trading performance across all styles.
Osilatörler
Stocastic Weekly 4.0 by ScancieitorIndicador Stocastico Semanal con señales de compra e indicación mediante porcentaje acumulado de subida desde la ultima compra.
Incluye alarmas en los puntos de compra y en los cambios de tendencia en zonas de venta
Recomendable usar el grafico principal en periodo diario mientras que el indicador esta configurado para trabajar automaticamente en semanal
* Señal buy (azul) cuando se produce el cambio en zona de sobreventa
* Señal strong buy (negra) cuando se produce una vela roja con el stocastico indicando señal de compra en zona de sobreventa
Ichimoku Cloud + ADX + VWAP / Owl of ProfitIchimoku + ADX + VWAP Strategy
This strategy combines the Ichimoku Cloud, Average Directional Index (ADX), and Volume Weighted Average Price (VWAP) indicators to identify trend direction, momentum strength, and price positioning for optimal trade entries and exits.
Features:
Ichimoku Cloud:
Conversion Line (Tenkan-Sen): 9-period midpoint of the highest high and lowest low.
Base Line (Kijun-Sen): 26-period midpoint of the highest high and lowest low.
Leading Span A: Average of the Conversion and Base Lines, displaced 26 periods forward.
Leading Span B: 52-period midpoint of the highest high and lowest low, displaced 26 periods forward.
Cloud Fill (Kumo): Visualizes bullish (green) or bearish (red) trends.
ADX (Average Directional Index):
14-period ADX indicates the strength of a trend.
Signals are valid when ADX is above the 25 threshold.
VWAP (Volume Weighted Average Price):
Used as a dynamic support/resistance level to confirm price positioning.
Entry and Exit Logic:
Buy Condition:
Price is above both Leading Span A and B.
ADX is greater than 25, indicating a strong trend.
Price is above the VWAP.
Sell Condition:
Price is below both Leading Span A and B.
ADX is greater than 25.
Price is below the VWAP.
Trade Execution:
Executes a long position on a valid buy signal.
Closes the position when the sell condition is met.
Visualization:
Ichimoku Cloud is plotted with a dynamic fill to display bullish and bearish trends.
ADX is plotted with a horizontal threshold line at 25.
VWAP is displayed as a thick blue line for price confirmation.
Buy and Sell signals are marked on the chart with green and red labels, respectively.
This strategy integrates trend, momentum, and price positioning for high-confidence trades. Use it for backtesting and customization to suit your trading style.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
HMA + RSI / Owl of ProfitHMA + RSI Strategy
This strategy combines the Hull Moving Average (HMA) and the Relative Strength Index (RSI) to identify potential trade opportunities based on trend direction and momentum.
Features:
HMA Calculation:
Length: 50 (default).
HMA is plotted as a blue line on the price chart to indicate trend direction.
RSI Calculation:
Length: 14 (default).
Overbought Level: 70.
Oversold Level: 30.
RSI is plotted in purple with horizontal lines for overbought and oversold levels.
Entry and Exit Logic:
Long Condition:
Triggered when the price is above HMA, and RSI crosses above the oversold level (30).
Short Condition:
Triggered when the price is below HMA, and RSI crosses below the overbought level (70).
Exit Logic:
Long positions exit when RSI crosses below the overbought level or when the price drops below HMA.
Short positions exit when RSI crosses above the oversold level or when the price rises above HMA.
Customization Options:
Adjust HMA and RSI lengths, as well as RSI levels for overbought and oversold conditions, to suit different market conditions.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
FVG Oscillator (OmegaTools) / Owl of Profit remakeFVG Oscillator (OmegaTools)
Big thanks to OmegaTools for providing this strategy and making it available under the Mozilla Public License 2.0! This Pine Script™ code is subject to the terms of the license at mozilla.org
This strategy leverages Fair Value Gaps (FVG) to detect potential bullish and bearish trading opportunities, combining price gaps and volume analysis for precision.
Features:
FVG Detection:
Bullish FVG (BFVG): Identifies price gaps with upward momentum.
Bearish FVG (SFVG): Identifies price gaps with downward momentum.
Additional Conditions:
Requires confirmation via volume or significant gap size.
Dynamic Count:
Tracks bullish and bearish FVG counts over a customizable 50-bar lookback period.
Normalized Gap Values:
Displays weighted bullish and bearish FVG patterns for better visualization.
Entry and Exit Logic:
Buy Signal: Triggered when a bullish FVG meets verification criteria (volume or significant gap).
Sell Signal: Triggered when a bearish FVG meets verification criteria.
Automatic position management ensures existing positions are closed before entering new ones.
Visualization:
Plots bullish and bearish FVG counts and highlights areas above and below zero.
Displays normalized gap widths as histograms for both long and short patterns.
This strategy provides a robust framework for detecting and trading fair value gaps, making it ideal for traders seeking a gap-based methodology. Use it for backtesting or customize it further for your trading style.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
Fibonacci Retracement + Pivot Points + RSI / Owl of ProfitFibonacci Retracement + Pivot Points + RSI Strategy
This strategy combines Fibonacci Retracement, Pivot Points, and the Relative Strength Index (RSI) to identify key support/resistance levels, overbought/oversold conditions, and potential trade opportunities.
Features:
Fibonacci Retracement Levels:
Key levels (38.2%, 50%, 61.8%) are plotted to identify potential support and resistance zones.
Helps traders determine possible reversal or bounce points.
Pivot Points:
Automatically detects swing highs and lows on the chart.
Assists in locating key levels for entry or exit.
Relative Strength Index (RSI):
Identifies overbought (above 70) and oversold (below 30) conditions.
Provides additional confirmation for trades.
Entry and Exit Conditions:
Buy Signal: Triggered when the price bounces from a Fibonacci retracement level and RSI is below 30 (oversold).
Sell Signal: Triggered when the price rejects a Fibonacci retracement level and RSI is above 70 (overbought).
Customization Options:
Adjust Fibonacci levels, pivot point sensitivity, and RSI thresholds to suit different markets and trading styles.
Visualization:
Fibonacci retracement levels and pivot points are displayed directly on the chart.
RSI is plotted in a separate panel, with overbought/oversold levels clearly marked.
This strategy is designed for educational and testing purposes. Use it as a foundation for further backtesting and adapting to your trading approach.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
EMA 9 a 21 + Stochastic RSI / Owl of ProfitEMA 9/21 + Stoch RSI Strategy
This strategy combines Exponential Moving Averages (EMA) with Stochastic RSI to identify high-probability trading opportunities by analyzing both trend direction and overbought/oversold conditions.
Features:
Exponential Moving Averages (EMA):
Tracks short-term (9-period) and mid-term (21-period) trends.
Crossover signals are used to determine bullish and bearish trends.
Stochastic RSI:
Identifies overbought and oversold market conditions.
Adds a layer of confirmation to EMA crossovers, improving signal quality.
Entry and Exit Conditions:
Long Entry: Triggered when EMA 9 crosses above EMA 21 (bullish crossover) and Stochastic RSI is below the oversold threshold (default: 20).
Short Entry: Triggered when EMA 9 crosses below EMA 21 (bearish crossover) and Stochastic RSI is above the overbought threshold (default: 80).
Positions are closed when the opposite signal occurs.
Customization Options:
Adjust EMA and Stochastic RSI lengths to suit your trading preferences.
Modify overbought and oversold levels for different market conditions.
Visualization:
Plots EMA 9 and EMA 21 directly on the price chart for trend analysis.
Displays Stochastic RSI in a separate panel for clear visualization of overbought/oversold zones.
This strategy is designed for educational and testing purposes. Use it as a foundation for further backtesting and adapting to your trading approach.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
EMA12 + EMA26 + MACD + RSI / Owl of ProfitEMA 12 + EMA 26 + MACD + RSI Strategy
This strategy combines Exponential Moving Averages (EMA), MACD, and RSI to identify high-probability trading opportunities. It uses trend, momentum, and overbought/oversold conditions to refine entry and exit points.
Features:
Exponential Moving Averages (EMA):
Tracks short-term (12-period) and long-term (26-period) trends for crossover signals.
MACD Indicator:
Confirms trend strength and momentum using the MACD line and Signal line crossover.
Includes a histogram for visualizing bullish or bearish momentum.
RSI (Relative Strength Index):
Identifies overbought and oversold conditions to avoid entering trades in extreme zones.
Entry Conditions:
Long Entry: Triggered when EMA12 crosses above EMA26, MACD crosses above the Signal line, and RSI is below 70.
Sell Exit: Triggered when EMA12 crosses below EMA26, MACD crosses below the Signal line, and RSI is above 30.
Customization Options:
Modify lengths for EMA, MACD, and RSI to suit your trading preferences.
Visualization:
Plots EMA12 and EMA26 on the price chart for trend identification.
Displays MACD histogram and RSI in separate panels for momentum and strength analysis.
Entry and exit signals are clearly marked on the chart.
This strategy is designed for educational and testing purposes. Use it as a foundation for backtesting and adapting to your trading style.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
EMA 12 + EMA 26 + MACD / Owl of ProfitEMA 12 + EMA 26 + MACD Strategy
This strategy combines Exponential Moving Averages (EMA) with the MACD indicator to identify bullish and bearish market trends. It includes dynamic stop-loss and take-profit levels for risk management.
Features:
Exponential Moving Averages (EMA):
Tracks short-term and long-term trends using 12-period and 26-period EMAs.
Provides clear crossover signals for trend direction.
MACD Indicator:
Analyzes momentum and confirms entry signals using the MACD line and Signal line crossover.
Includes a histogram for visualizing bullish and bearish momentum.
Entry Conditions:
Long Entry: Triggered when the short EMA crosses above the long EMA and MACD is above the Signal line.
Short Entry: Triggered when the short EMA crosses below the long EMA and MACD is below the Signal line.
Exit Conditions:
Dynamic Stop-Loss and Take-Profit levels based on user-defined percentages.
Positions are also closed when the EMA or MACD signals reverse.
Customization Options:
Adjust EMA lengths for sensitivity to trends.
Modify MACD settings (fast, slow, and signal periods).
Set Stop-Loss and Take-Profit percentages for risk and reward management.
Visualization:
Plots short and long EMAs directly on the chart for easy trend identification.
Includes MACD and Signal line with a histogram in a separate panel for momentum analysis.
Entry and exit signals are clearly marked on the chart.
This strategy is designed for educational and testing purposes. Use it as a foundation for backtesting and adapting to your trading style.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
D Vortex / Owl of ProfitVortex Strategy with Signals
This strategy uses the Vortex Indicator (VI) to identify bullish and bearish trend reversals. It visualizes clear buy and sell signals based on the crossover of VI+ and VI- lines.
Features:
Vortex Indicator Calculation:
Calculates VI+ and VI- using smoothed values of directional movement and true range.
Identifies directional trends based on the relationship between VI+ and VI-.
Entry Conditions:
Long: Triggered when VI+ crosses above VI- (bullish crossover).
Short: Triggered when VI+ crosses below VI- (bearish crossover).
Visualization:
Plots VI+ (green) and VI- (red) for trend analysis.
Buy and sell signals are marked with clear labels on the chart (green for "BUY" and red for "SELL").
Customization Options:
Adjust the Vortex period for sensitivity to market trends.
This strategy is designed for educational and testing purposes. Use it as a foundation for further backtesting and adapting to your trading approach.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
CCI / Owl of ProfitCCI Strategy Example
This strategy uses the Commodity Channel Index (CCI) to identify potential long and short trading opportunities. It features customizable smoothing options and optional Bollinger Bands for added precision.
Features:
CCI Calculation:
CCI is calculated using the source (default: HLC3) with customizable period length.
Plots CCI values along with key levels (+100, -100, and 0) to identify overbought/oversold conditions.
Smoothing Options:
Includes various moving average types: SMA, EMA, SMMA (RMA), WMA, and VWMA.
Optionally applies Bollinger Bands to the smoothed CCI values for dynamic overbought/oversold levels.
Entry Conditions:
Long: Triggered when CCI crosses above -100.
Short: Triggered when CCI crosses above +100.
Customization Options:
Adjust CCI length and source (e.g., close, hlc3).
Select MA type and length for smoothing.
Enable Bollinger Bands with customizable standard deviation multiplier.
Visualization:
Clear CCI plot with shaded background for oversold and overbought zones.
Optional smoothed CCI with Bollinger Bands for advanced analysis.
This strategy is designed for educational and testing purposes. Use it as a foundation for backtesting and adapting to your trading needs.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
Chande Momentum Oscillator + BB / Owl of ProfitChande Momentum Oscillator + Bollinger Bands Strategy
This strategy combines the Chande Momentum Oscillator (CMO) with Bollinger Bands to identify overbought and oversold conditions and generate entry and exit signals based on price action and momentum.
Features:
Bollinger Bands:
Visualize volatility and identify price breakouts using customizable period and standard deviation.
Signals are triggered when the price crosses above or below the Bollinger Bands.
Chande Momentum Oscillator (CMO):
Detects momentum with a customizable length.
Confirms overbought or oversold conditions with upper and lower thresholds.
Entry Conditions:
Long: Price crosses below the lower Bollinger Band, and CMO is below the oversold level.
Short: Price crosses above the upper Bollinger Band, and CMO is above the overbought level.
Exit Conditions:
Long Exit: Price crosses above the Bollinger Basis or CMO enters overbought.
Short Exit: Price crosses below the Bollinger Basis or CMO enters oversold.
Customization Options:
Adjust Bollinger Bands length and standard deviation for sensitivity.
Modify CMO length and thresholds to refine momentum detection.
Visualization:
Bollinger Bands are shaded for clear identification of overbought and oversold zones.
CMO and its thresholds are plotted for easy reference.
This strategy is designed for educational and testing purposes. Use it as a foundation for backtesting and adapting to your trading approach.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
MultiTime Stochastics ProMultiTime Stochastics Pro
This indicator is an enhanced version of the stochastic indicator, featuring two separate stochastics. This functionality allows you to adjust the settings and time frame for each stochastic individually, enabling a more precise analysis of market fluctuations.
The Double Stochastic indicator enables you to simultaneously analyze the market in different time frames with two separate stochastics. One of the standout features of this indicator is that when the chart's time frame changes, each stochastic is displayed according to the time set for it and does not change in other time frames. This feature provides greater flexibility and accuracy in market analysis.
How the Indicator Works
This indicator calculates two separate stochastics:
The first stochastic (K1 and D1) with its own specific time frame and settings.
The second stochastic (K2 and D2) with a different time frame and settings.
These two stochastics are displayed simultaneously on one chart, and overbought and oversold lines are also included.
How to Use
Parameter Adjustment : Adjust the parameters K1 Length, D1 Smoothing, and K1 Time Frame as desired. Do the same for the second stochastic.
Signal Analysis : Analyze buy and sell signals based on the stochastic values and the overbought and oversold lines.
Advantages
Greater Precision : With two separate stochastics, you can follow market fluctuations with greater accuracy.
Flexibility : The ability to individually set the time frame and parameters for each stochastic makes this indicator highly flexible.
Stronger Signals : The simultaneous display of two stochastics allows you to receive stronger buy and sell signals.
Multi-time frame Analysis : The ability to analyze the market in different time frames simultaneously.
This indicator is suitable for traders seeking more precise and flexible market analysis tools. I hope these explanations help you publish your indicator in the best possible way!
Waldo RSI :oWaldo RSI :o Indicator Guide
The Waldo RSI :o indicator is designed to complement the "Waldo RSI Overlay :o" by providing an RSI-based analysis on TradingView, focusing on macro shifts in market trends. Here's a comprehensive guide on how to use this indicator:
Key Features:
RSI Settings:
RSI Source: Choose from ON RSI, ON HIGH, ON LOW, ON CLOSE, or ON OPEN to determine how RSI calculates pivots.
RSI Settings:
Source: Default is (H+L)/2, but you can select any price for RSI calculation.
Length: Default RSI length is 7, which can be adjusted for sensitivity.
Trend Lines:
Show Trend Lines: Option to display trend lines based on RSI pivot points.
Zigzag Length: Determines pivot point sensitivity.
Confirm Length: Validates pivot points (default is 3).
Colors: Customize colors for Higher Highs (HH), Lower Highs (LH), Higher Lows (HL), and Lower Lows (LL) on the RSI.
Label Size and Line Width: Adjust the appearance of labels and lines.
Divergences:
Classic Divergences:
Show Classic Div: Toggle to reveal divergences where RSI and price move in opposite directions.
Colors: Set different colors for bullish and bearish divergence indicators.
Transparency and Line Width: Control the visual impact of divergence signals.
Hidden Divergences:
Similar settings for identifying hidden divergences, suggest trend continuation.
Breakout/Breakdown:
Show Breakout/Breakdown: Generates signals for RSI breakouts or breakdowns, used by "Waldo RSI Overlay :o" for visual chart signals.
Overbought/Oversold Zones:
Show Overbought and OverSold Zones: Highlights when RSI goes above 70 (overbought) or below 30 (oversold).
Moving Averages on RSI:
The default Moving Average (MA) settings are tailored to capture macro shifts in market trends:
Show Moving Averages: Option to overlay two MAs on the RSI for trend confirmation:
Fast RSI MA:
RSI Period: 50 (this is the period over which the RSI is calculated).
MA Length: 50 (the number of periods used for the moving average of the RSI).
Slow RSI MA:
RSI Period: 50 (same as fast for consistency in RSI calculation).
MA Length: 200 (longer term for capturing broader trends).
Crossover Signals: The RSI changes color from red to green based on these moving average crossovers:
When the Fast MA (50 period) crosses above the Slow MA (200 period), the RSI turns green, indicating potential bullish conditions or momentum shift.
Conversely, when the Fast MA crosses below the Slow MA, the RSI turns red, suggesting bearish conditions or a shift back towards a downtrend.
This 50-period RSI crossover setting is used to identify overall macro shifts in the market, providing a clear visual cue for traders looking at longer-term trends.
Ghost Lines (Optional):
Ghost Lines: Option to limit how far RSI trend lines extend, helping to keep the chart less cluttered.
How to Use the Indicator:
Setup:
Configure RSI by choosing the source and setting the length to match your trading style.
Set the zigzag and confirm lengths for appropriate pivot detection.
Trend Analysis:
Monitor the RSI for trend changes using the colored trend lines and labels.
Divergence Detection:
Look for RSI and price divergences to anticipate potential reversals or continuations.
Breakout/Breakdown:
Use these signals in conjunction with "Waldo RSI Overlay :o" for price action confirmation.
Overbought/Oversold:
Identify when the market might be due for a correction or continued momentum.
Moving Averages:
Focus on the color changes in RSI to understand macro trend shifts with the default 50/200 period setup.
Ghost Lines:
Enable for a cleaner chart if you don't need trend lines extending indefinitely.
Usage Tips:
Combine with other indicators for confirmation, as no single tool is foolproof.
Adjust settings to suit different market conditions or trading timeframes.
Use in tandem with "Waldo RSI Overlay :o" for a full trading signal system.
Remember, trading involves significant risk, and historical data does not guarantee future performance. Use this indicator as part of a broader trading strategy.
Waldo RSI Overlay :oWaldo RSI Overlay :o Indicator Guide
Welcome to the guide for the Waldo RSI Overlay :o indicator on TradingView. This tool enhances your trading analysis through RSI-based overlays for trend analysis, divergence detection, and breakout/breakdown signals when used with its companion indicator, Waldo RSI :o.
Key Features:
RSI Overlay:
• RSI Source: Choose from:
o ON RSI: Uses the RSI values directly to detect pivots, focusing on RSI highs and lows for trend analysis.
o ON HIGH, ON CLOSE, ON LOW, ON OPEN:
These options base pivot detection on price action at those specific points, offering an alternative market structure view.
• RSI Settings:
o Source: Default is (H+L)/2, but you can select any price for RSI calculation.
o Length: Default RSI length is 7, which you can adjust for sensitivity.
Trend Lines:
• Show Trend Lines: Toggle to display trend lines based on pivot points.
• Zigzag Length: Sets the sensitivity of pivot point detection.
• Confirm Length: Ensures the validity of pivot points (default is 3).
• Colors: Customize colors for Higher Highs (HH), Lower Highs (LH), Higher Lows (HL), and Lower Lows (LL).
• Transparency and Line Width: Control how trend lines and fills appear.
• Label Size: Adjust the size of labels identifying pivot points.
Divergences:
• Classic Divergences:
o Show Classic Div: Enable to highlight regular divergences where price and RSI move in opposite directions.
o Colors: Define colors for bullish and bearish divergence lines and labels.
o Transparency and Line Width: Adjust the visual impact of divergence signals.
• Hidden Divergences:
o Similar settings as classic, but these highlight divergences indicating trend continuation.
Breakout/Breakdown:
• Show Breakout/Breakdown: When activated, this feature signals when the price breaks through previous highs or lows. To activate these breakouts, you need the companion indicator Waldo RSI :o, select the SRC in the External section, and select the crossovers for each one.
This combination provides RSI confirmation for breakout/breakdown events.
Overbought/Oversold Zones:
• Show Overbought and Oversold Zones: Bars are colored when RSI exceeds 70 (purple) or falls below 30 (blue), indicating potential market extremes.
Moving Averages (Optional):
• Show Moving Averages: Option to overlay two moving averages for trend confirmation.
• Source, Type, Length: Customize each MA's configuration.
Ghost Lines (Optional):
• Ghost Lines: When enabled, trend lines extend for only a specified period (Ghost Length) instead of indefinitely.
How to Use the Indicator:
1. Setup:
o Configure RSI settings by choosing the RSI Source and adjusting the RSI Length to suit your trading style.
o Set the Zigzag Length and Confirm Length for trend line sensitivity based on market volatility.
2. Trend Analysis:
o Look at the colored horizontal lines and fills for HH, LH, HL, LL to discern market structure and potential reversal points.
3. Divergence Detection:
o Identify divergences where price and RSI diverge. Regular divergences might signal trend exhaustion, while hidden ones could indicate trend persistence.
4. Breakout/Breakdown Signals:
o Ensure you have both the Waldo RSI Overlay :o and Waldo RSI :o indicators applied. Green triangles below bars signal breakouts; red ones above indicate breakdowns, based on price movement with RSI confirmation from the companion indicator.
5. Overbought/Oversold:
o Use these colored zones to spot potential momentum shifts or reversal areas.
6. Moving Averages on RSI:
o If used, these can help confirm trends or identify crossover signals for additional trade confirmation.
7. Ghost Lines:
o For a less cluttered chart, enable this to limit how far trend lines extend.
Tips for Usage:
• Always combine this indicator with other analytical tools for better confirmation. No single indicator should guide all decisions.
• Adjust settings according to the asset's behavior and your trading timeframe.
• Regularly review your settings as market dynamics change.
Remember, trading involves risk, and past performance doesn't predict future outcomes. Use this indicator within a comprehensive trading strategy.
Multiple Values TableThis Pine Script indicator, named "Multiple Values Table," provides a comprehensive view of various technical indicators in a tabular format directly on your trading chart. It allows traders to quickly assess multiple metrics without switching between different charts or panels.
Key Features:
Table Position and Size:
Users can choose the position of the table on the chart (e.g., top left, top right).
The size of the table can be adjusted (e.g., tiny, small, normal, large).
Moving Averages:
Calculates the 5-day Exponential Moving Average (5DEMA) using daily data.
Calculates the 5-week and 20-week EMAs (5WEMA and 20WEMA) using weekly data.
Indicates whether the current price is above or below these moving averages in percentage terms.
Drawdown and Williams VIX Fix:
Computes the drawdown from the 365-day high to the current close.
Calculates the Williams VIX Fix (WVF), which measures the volatility of the asset.
Shows both the current WVF and a 2% drawdown level.
Relative Strength Index (RSI):
Displays the current RSI and compares it to the RSI from 14 days ago.
Indicates whether the RSI is increasing, decreasing, or flat.
Stochastic RSI:
Computes the Stochastic RSI and compares it to the value from 14 days ago.
Indicates whether the Stochastic RSI is increasing, decreasing, or flat.
Normalized MACD (NMACD):
Calculates the Normalized MACD values.
Indicates whether the MACD is increasing, decreasing, or flat.
Awesome Oscillator (AO):
Calculates the AO on a daily timeframe.
Indicates whether the AO is increasing, decreasing, or flat.
Volume Analysis:
Displays the average volume over the last 22 days.
Shows the current day's volume as a percentage of the average volume.
Percentile Calculations:
Calculates the current percentile rank of the WVF and ATH over specified periods.
Indicates the percentile rank of the current volume percentage over the past period.
Table Display:
All these values are presented in a neatly formatted table.
The table updates dynamically with the latest data.
Example Use Cases:
Comprehensive Market Analysis: Quickly assess multiple indicators at a glance.
Trend and Momentum Analysis: Identify trends and momentum changes based on various moving averages and oscillators.
Volatility and Drawdown Monitoring: Track volatility and drawdown levels to manage risk effectively.
This script offers a powerful tool for traders who want to have a holistic view of various technical indicators in one place. It provides flexibility in customization and a user-friendly interface to enhance your trading experience.
Matrix Series and Vix Fix with VWAP CCI and QQE SignalsMatrix Series and Vix Fix with VWAP CCI and QQE Signals
Short Title: Advanced Matrix
Purpose
This Pine Script combines multiple technical analysis tools to create a comprehensive trading indicator. It incorporates elements like support/resistance zones, overbought/oversold conditions, Williams Vix Fix, QQE (Quantitative Qualitative Estimation) signals, VWAP CCI signals, and a 200-period SMA for trend filtering. The goal is to provide actionable buy and sell signals with enhanced visualization.
Key Features and Components
1. Matrix Series
Smoothing Input: Allows customization of EMA smoothing for the indicator (default: 5).
Support/Resistance Zones: Based on CCI (Commodity Channel Index) values.
Dynamic zones calculated with customizable parameters (SupResPeriod, SupResPercentage, PricePeriod).
Candlestick Visualization: Custom candlestick plots with colors indicating trends.
Dynamic levels for overbought/oversold conditions.
2. Overbought/Oversold Signals
Overbought and oversold levels are adjustable (ob and os).
Plots circles on the chart to highlight extreme conditions.
3. Williams Vix Fix
Identifies potential reversal points by analyzing volatility.
Uses Bollinger Bands and percentile thresholds to detect high-probability entries.
Includes two alert levels (alert1 and alert2) with customizable criteria for signal filtering.
4. QQE Signals
Based on the smoothed RSI and QQE methodology.
Detects trend changes using adaptive ATR bands (FastAtrRsiTL).
Plots long and short signals when specific conditions are met.
5. VWAP CCI Signals
Combines VWAP and CCI for additional trade signals.
Detects crossovers and crossunders of CCI levels (-200 and 200) to generate long and short signals.
6. 200 SMA
A 200-period simple moving average is plotted to act as a trend filter.
The script rules recommend buying only when the price is above the SMA200.
Customizable Inputs
General:
Smoothing, support/resistance periods, overbought/oversold levels.
Williams Vix Fix:
Lookback periods, Bollinger Band settings, percentile thresholds.
QQE:
RSI length, smoothing factor, QQE factor, and threshold values.
VWAP CCI:
Length for calculating deviations.
Visual Elements
Dynamic candlestick colors to indicate trend direction.
Overbought/oversold circles for extreme price levels.
Resistance and support lines.
Labels and shapes for buy/sell signals from Vix Fix, QQE, and VWAP CCI.
Alerts
Alerts are configured for the Matrix Series (e.g., "BUY MATRIX") and other components, ensuring traders are notified when significant conditions are met.
Intended Use
This indicator is designed for traders seeking a multi-faceted tool to analyze market trends, identify potential reversal points, and generate actionable trading signals. It combines traditional indicators with advanced techniques for comprehensive market analysis.
Strength Measurement -HTStrength Measurement -HT
This indicator provides a comprehensive view of trend strength by calculating the average ADX (Average Directional Index) across multiple timeframes. It helps traders identify strong trends, potential reversals, and confirm signals from other indicators.
Key Features:
Multi-Timeframe Analysis: Analyze trend strength across different timeframes. Choose which timeframes to include in the calculation (5 min, 15 min, 30 min, 1 hour, 4 hour).
Customizable ADX Parameters: Adjust the ADX smoothing (adxlen) and DI length (dilen) parameters to fine-tune the indicator to your preferred settings.
Smoothed Average ADX: The average ADX is smoothed using a Simple Moving Average to reduce noise and provide a clearer picture of the overall trend.
Color-Coded Visualization: The histogram clearly indicates trend direction and strength:
Green: Uptrend
Red: Downtrend
Darker shades: Stronger trend
Lighter shades: Weaker trend
Reference Levels: Includes horizontal lines at 25, 50, and 75 to provide benchmarks for trend strength classification.
Alerts: Set alerts for strong trend up (ADX crossing above 50) and weakening trend (ADX crossing below 25).
How to Use:
Select Timeframes: Choose the timeframes you want to include in the average ADX calculation.
Adjust ADX Parameters: Fine-tune the adxlen and dilen values based on your trading style and the timeframe of the chart.
Identify Strong Trends: Look for histogram bars with darker green or red colors, indicating a strong trend.
Spot Potential Reversals: Watch for changes in histogram color and height, which may suggest a weakening trend or a potential reversal.
Combine with Other Indicators: Use this indicator with other technical analysis tools to confirm trading signals.
Note: This indicator is based on the ADX, which is a lagging indicator.
Multiasset MVRVZ - MVRVZ for Multiple Crypto Assets [Da_Prof]This indicator shows the Market Value-Realized Value Z-score (MVRVZ) for Multiple Assets. The MVRV-Z score measures the value of a crypto asset by comparing its market cap to the realized value and dividing by the standard deviation of the market cap (market cap – realized cap) / stdev(market cap) to get a z-score. When the market value is significantly higher than the realized value, the asset may be considered "overvalued". Conversely, market values below the realized value may indicate the asset is "undervalued". For some assets (e.g., BTC) historically high values have generally signaled price tops and historically low values have signaled bottoms.
The indicator displays two lines: 1) the MVRV-Z of the current chart symbol if the data is available through Coin Metrics (this is displayed in light blue), and 2) the MVRV-Z of the symbol selected from the dropdown (displayed in orange). The MVRV-Z of BTC is the default selected orange line. The example chart shows CRYPTOCAP:ETH 's MVRV-Z in blue and CRYPTOCAP:BTC 's MVRV-Z in orange.
The MVRV-Z in this indicator is calculated on the weekly and will display consistently on lower timeframes. Some MVRV-Z indicators calculate this value from collection of all data from the beginning of the chart on the timeframe of the chart. This creates inconsistency in the standard deviation calculation and ultimately the z-score calculation when moving between time frames. This indicator calculates MVRV-Z based on the set number of weeks prior from the source data directly (default is two years worth of weekly data). This allows consistent MVRV-Z values on weekly and lower timeframes.
PDF MA For Loop [BackQuant]PDF MA For Loop
Introducing the PDF MA For Loop, an innovative trading indicator that combines Probability Density Function (PDF) smoothing with a dynamic for-loop scoring mechanism. This advanced tool provides traders with precise trend-following signals, helping to identify long and short opportunities with improved clarity and adaptability to market conditions.
If you would like to check out the stand alone PDF Moving Average:
Core Concept: Probability Density Function (PDF) Smoothing
The PDF smoothing method is a unique approach that applies adaptive weights to price data based on a Probability Density Function. This ensures that recent data points receive appropriate emphasis while maintaining a smooth transition across the data set. The result is a moving average that is not only smoother but also more responsive to market changes.
Key parameters in PDF smoothing:
Variance : Controls the spread of the PDF, where a higher value results in broader smoothing and a lower value makes the moving average more sensitive.
Mean : Centers the PDF around a specific value, influencing the weighting and responsiveness of the smoothing process.
By combining PDF smoothing with traditional moving averages (EMA or SMA), the indicator creates a hybrid signal that balances responsiveness and reliability.
For-Loop Scoring Mechanism
At the heart of this indicator is the for-loop scoring mechanism, which evaluates the smoothed PDF moving average over a defined range of historical data points. This process assigns a score to the current market condition based on whether the PDF moving average is greater than or less than previous values.
Long Signal: A long signal is generated when the score exceeds the Long Threshold (default set at 40), indicating upward momentum.
Short Signal: A short signal is triggered when the score crosses below the Short Threshold (default set at -10), suggesting potential downward momentum.
This dynamic scoring system ensures that the indicator remains adaptive, capturing trends and shifts in market sentiment effectively.
Customization Options
The PDF MA For Loop includes a variety of customizable settings to fit different trading styles and strategies:
Calculation Settings
Price Source : Select the input price for the calculation (default is the close price).
Smoothing Method : Choose between EMA or SMA for the additional smoothing layer, providing flexibility to adapt to market conditions.
Smoothing Period : Adjust the lookback period for the smoothing function, with shorter periods providing more sensitivity and longer periods offering greater stability.
Variance & Mean : Fine-tune the PDF function parameters to control the weighting of the smoothing process.
Signal Settings
Thresholds : Customize the upper and lower thresholds to define the sensitivity of the long and short signals.
For Loop Range : Set the range of historical data points analyzed by the for-loop, influencing the depth of the scoring mechanism.
UI Settings
Signal Line Width: Adjust the thickness of the plotted signal line for better visibility.
Candle Coloring: Enable or disable the coloring of candlesticks based on trend direction (green for long, red for short, gray for neutral).
Background Coloring: Add background shading to highlight long and short signals for an enhanced visual experience.
Alerts and Automation
The indicator includes built-in alert conditions to notify traders of important market events:
Long Signal Alert: Notifies when the score exceeds the upper threshold, indicating a bullish trend.
Short Signal Alert: Notifies when the score crosses below the lower threshold, signaling a bearish trend.
These alerts can be configured for real-time notifications, allowing traders to respond quickly to market changes without constant chart monitoring.
Trading Applications
The PDF MA For Loop is versatile and can be applied across various trading strategies and market conditions:
Trend Following: The PDF smoothing method combined with for-loop scoring makes this indicator particularly effective for identifying and following trends.
Reversal Trading: By observing the thresholds and score, traders can anticipate potential reversals when the trend shifts from long to short (or vice versa).
Risk Management: The dynamic thresholds and scoring provide clear signals, allowing traders to enter and exit trades with greater confidence and precision.
Final Thoughts
The PDF MA For Loopis merges advanced mathematical concepts with practical trading tools. By leveraging Probability Density Function smoothing and a dynamic for-loop scoring system, it provides traders with clear, actionable signals while adapting to market conditions.
Whether you’re looking for an edge in trend-following strategies or seeking precision in identifying reversals, this indicator offers the flexibility and power to enhance your trading decisions
As always, backtesting and integrating the PDF MA For Loop into a comprehensive trading strategy is recommended for optimal performance, as no single indicator should be used in isolation.
Thus following all of the key points here are some sample backtests on the 1D Chart
Disclaimer: Backtests are based off past results, and are not indicative of the future.
INDEX:BTCUSD
INDEX:ETHUSD
BINANCE:SOLUSD
Money Maykah -- MA slopesThe idea behind this script is to play with the idea of summing integration (IT) and differentiation (DT) of a T3 signal (smoothed with sma or ema). The sum is IT + DT.
Obviously this is not exactly these mathematical concepts, but what occurs is that it generates an oscillator that somewhat gets rid of skew in the oscillations in the market.
There is a signal IDE which sums the full IT + DT which shows a longer term oscillation. This will have a much larger range of numbers in amplitude so it may be a little annoying to move the scale around by hand. I don't care to fix this right now but I'm sure it can be done quite easily for someone else.
I was also playing with the idea of using a Normalization oscillator with this and seeing how the two compare and whether they could be used in some sort of strategy. Both have unpredictable behaviors but hey the market is unpredictable so have at it!
Quartile For Loop [SeerQuant]Quartile For Loop (QFL)
- The Quartile For Loop (QFL) is an advanced trend-following and scoring oscillator designed to detect momentum shifts and trend transitions using a quartile-based analysis. By leveraging quartile calculations and iterative scoring logic, QFL delivers dynamic trend signals which can be tailored to suit various market conditions.
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⚙️ How It Works
1️⃣ Quartile-Based Calculation
The indicator calculates the weighted average of the first quartile (Q1), median (Q2), and third quartile (Q3) over a customizable length, providing a robust adaptive trend value.
2️⃣ For Loop Scoring System
A unique for-loop structure iteratively scores each quartile value against historical data, delivering actionable trend signals. Users can toggle between price-based and quartile-based scoring methods for flexibility.
3️⃣ Threshold Logic
Bullish (Uptrend): Score exceeds the positive threshold.
Bearish (Downtrend): Score falls below the negative threshold.
Neutral: Score remains between thresholds.
4️⃣ Visual Trend Enhancements
Optional candle coloring and a color-coded SMA provide clear visual cues for identifying trend direction. The adaptive quartile is dynamically updated to reflect changing market conditions.
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✨ Customizable Settings
Indicator Inputs
Quartile Length: Define the calculation length for quartile analysis.
Calculation Source: Choose the data source for quartile calculations (e.g., close price).
Alternate Signal: Toggle between price-based and quartile-based scoring.
Loop Settings
Start/End Points: Set the range for the for-loop scoring system.
Thresholds: Customize uptrend and downtrend thresholds.
Style Settings
Candle Coloring: Enable optional trend-based candle coloring.
Color Schemes: Select from five unique palettes for trend visualization.
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🚀 Features and Benefits
Quartile-Driven Analysis: Harnesses the statistical power of quartiles for adaptive trend evaluation.
Dynamic Scoring: Iterative scoring logic adjusts to market fluctuations.
Clear Visual Representation: Color-coded histograms, candles, and trendlines enhance readability.
Fully Customizable: Flexible inputs allow adaptation to diverse trading styles and strategies.
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📜 Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Market analysis is inherently speculative and subject to risk. Users should consult a licensed financial advisor before making trading decisions. Use at your own discretion.
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Internal Bar Strength (IBS) Strategy█ STRATEGY DESCRIPTION
The "Internal Bar Strength (IBS) Strategy" is a mean-reversion strategy designed to identify trading opportunities based on the closing price's position within the daily price range. It enters a long position when the IBS indicates oversold conditions and exits when the IBS reaches overbought levels. This strategy was designed to be used on the daily timeframe.
█ WHAT IS INTERNAL BAR STRENGTH (IBS)?
Internal Bar Strength (IBS) measures where the closing price falls within the high-low range of a bar. It is calculated as:
IBS = (Close - Low) / (High - Low)
- **Low IBS (≤ 0.2)**: Indicates the close is near the bar's low, suggesting oversold conditions.
- **High IBS (≥ 0.8)**: Indicates the close is near the bar's high, suggesting overbought conditions.
█ SIGNAL GENERATION
1. LONG ENTRY
A Buy Signal is triggered when:
The IBS value drops below the Lower Threshold (default: 0.2).
The signal occurs within the specified time window (between `Start Time` and `End Time`).
2. EXIT CONDITION
A Sell Signal is generated when the IBS value rises to or above the Upper Threshold (default: 0.8). This prompts the strategy to exit the position.
█ ADDITIONAL SETTINGS
Upper Threshold: The IBS level at which the strategy exits trades. Default is 0.8.
Lower Threshold: The IBS level at which the strategy enters long positions. Default is 0.2.
Start Time and End Time: The time window during which the strategy is allowed to execute trades.
█ PERFORMANCE OVERVIEW
This strategy is designed for ranging markets and performs best when prices frequently revert to the mean.
It is sensitive to extreme IBS values, which help identify potential reversals.
Backtesting results should be analyzed to optimize the Upper/Lower Thresholds for specific instruments and market conditions.
