Custom ROCThe Custom ROC allows you to set the length of the ROC. You can also set a reference value and an upward deviation. The sum of the reference value and deviation is shown as a green line.
Trend Analysis
Price Move DetectorThe Price Move Detector is a powerful technical analysis tool that automatically detects and highlights significant price movements over a user-defined time frame. This indicator allows traders to quickly identify instances where an asset has experienced a large price change, making it easier to spot potential trading opportunities.
Key Features
Customizable Parameters: Adjust the percentage change and time period (bars or sessions) to define what qualifies as a "significant" price move.
Automatic Highlighting: The indicator overlays a background highlight on the chart whenever the price moves by the specified percentage within the chosen time period.
Flexible Time Frame: Use this indicator across various timeframes and adjust the settings to suit your trading strategy, such as detecting 100% price moves over 20 sessions.
Ideal for Historical Analysis: Perfect for backtesting and screening for past price surges, helping traders spot explosive price action and market trends.
Use Cases
Spot Potential Breakouts: Use the detector to identify stocks or assets that have made significant moves, potentially signaling the start of a breakout or new trend.
Quickly Identify Major Market Moves: Scan historical data to pinpoint times when an asset experienced substantial price changes, providing insight into past performance and future potential.
How to Use
Customize the Settings
Percentage Threshold: Set the minimum percentage increase (e.g., 50%, 100%) that qualifies as a significant move. You can experiment with different percentages to suit your analysis.
Time Period (Bars): Define the lookback period (in bars/sessions) over which the price move should be measured. For example, set it to 20 bars for a one-month time frame on a daily chart.
Analyze the Highlights
Whenever the price increases by the defined percentage over the set period, the indicator will highlight that section of the chart with a background color.
The highlighted sections will make it easy to identify historical periods of large price movements, which can be useful for spotting trends, potential breakouts, or other market behaviors.
Adjust the Parameters for Your Strategy
You can fine-tune the settings to detect smaller or larger price moves depending on your trading goals.
The indicator is flexible enough for use on different timeframes and assets, providing valuable insights across various markets.
Cumulative Price AverageThe Cumulative Price Average (CPA) indicator calculates and plots the overall average of candlestick prices, providing a smoothed representation of the market's long-term price trend. This is achieved by aggregating the averages of each candle (Open, High, Low, Close) and dynamically updating the overall average as new candles are added.
Key Features
Long-Term Price Perspective: Displays the cumulative average of all candles from the start of the chart.
Trend Visualization: Smooths out short-term price fluctuations to highlight the overall trend.
Dynamic Updates: The average adjusts with each new bar for real-time analysis.
Usage
Trend Analysis:
Identify long-term bullish or bearish trends by observing the slope of the CPA line.
Support/Resistance:
The CPA line can act as a dynamic support or resistance level for the price.
Price Comparison:
Compare the current price to the CPA to assess whether the market is overbought or oversold relative to its historical average.
This indicator is especially useful for traders seeking to incorporate a historical perspective into their analysis, providing insights into the broader market behavior beyond short-term volatility.
Yearly Open LevelsThe Yearly Open Levels indicator is designed to help traders visualize the opening price of each year on a price chart.
Key Features:
Yearly Open Display: Automatically calculates and displays the opening price for each year starting from a user-defined starting year. This helps traders quickly spot where the price opens each year.
Customizable Start Year: Users can set a specific year to begin displaying opening levels. The default starting year is 2022, but this can be adjusted based on individual trader needs.
Visual Lines and Labels: Each yearly open is represented by a horizontal line that extends to the right of the chart, making it easy to see the level throughout the year.
A label is placed next to the line, indicating the year and the opening price, enhancing clarity and reference while analyzing price movements.
Color Customization: Traders can choose the color of the lines and labels to fit their charting style or preferences, enhancing the visual representation on different market charts.
Demand and Supply Zones Intraday Strategy(SAMARESH PANDA)Explanation:
Input Parameters:
length: Determines the number of bars to look back for identifying the highest and lowest prices to mark demand and supply zones.
zoneBuffer: A buffer in pips to place the stop and limit orders near the identified demand and supply zones.
Demand and Supply Zones:
The script identifies demand zones as the lowest low over the past length bars and supply zones as the highest high over the same period.
Buy (Long) Condition:
A buy signal is generated when the price crosses above the demand zone from below and the price closes above the demand zone.
Sell (Short) Condition:
A sell signal is generated when the price crosses below the supply zone from above and the price closes below the supply zone.
Stop and Limit Orders:
For long trades, the stop is placed just below the demand zone (zoneBuffer), and the limit is placed just above the demand zone.
For short trades, the stop is placed just above the supply zone (zoneBuffer), and the limit is placed just below the supply zone.
Exit Conditions:
The long position is closed when the price moves above the supply zone.
The short position is closed when the price moves below the demand zone.
Additional Notes:
Customization: You can modify the length and zoneBuffer values to adjust how sensitive the strategy is to price action and the zone buffers.
Risk Management: You may want to add additional filters for volume, indicators like RSI/MACD, or other market conditions to filter out false signals.
Testing & Optimization: As with any strategy, it's important to backtest and optimize it according to your preferred market conditions and risk tolerance.
Using the Strategy:
Apply the script to a 1-hour or 30-minute chart for identifying the demand and supply zones.
For better precision in entry, you can switch to a lower timeframe (like 5-minute or 15-minute) to execute your trades more accurately when the price reaches a demand or supply zone.
The buy and sell signals will appear on the chart as green (BUY) and red (SELL) labels.
Example of Execution:
Long Entry: The price closes above the demand zone and crosses up. A long position is opened with a stop below the demand zone and a limit near it.
Short Entry: The price closes below the supply zone and crosses down. A short position is opened with a stop above the supply zone and a limit near it.
This strategy works best in trending markets where price tends to respect these zones. Make sure to monitor the strategy closely and adjust it based on market volatility or changes in the broader trend.
You said:
create a pine script pivot point standard for buy sell
ChatGPT said:
ChatGPT
Sure! Below is a Pine Script that implements the Pivot Point Standard for intraday trading, with buy and sell signals based on the pivot point strategy.
Pivot points are calculated based on the previous day’s high, low, and close prices, and they are widely used in intraday trading to determine potential support and resistance levels.
Intraday Chaos FilterIntraday trading requires precise tools and strategies to navigate the chaotic fluctuations of the market. The "Intraday Chaos Filter" indicator is designed to provide traders with a systematic approach to managing market noise. This Pine Script™ indicator helps identify potential trend shifts and provides a visual representation of price action, aiding in making informed trading decisions. By focusing on reducing market chaos, it aims to provide a clearer picture of the underlying trend, regardless of the volatility.
At the heart of the indicator lies the multiplier input, a customizable setting that adjusts the sensitivity of the filter. The multiplier directly influences the chaos threshold by determining the percentage deviation allowed before signaling a trend reversal. A higher multiplier results in a less sensitive filter, reducing the number of signals during minor price fluctuations. This flexibility allows traders to adapt the indicator to different trading styles and market conditions, making it versatile for a range of intraday strategies.
The "Intraday Chaos Filter" operates by tracking two key price levels: src1 and src2, representing the highest and lowest prices during a trend. These levels are dynamically adjusted based on the closing price, ensuring that the indicator adapts in real time. The trend direction is determined by comparing the current price against a calculated filter level. When the price crosses the threshold in either direction, it signals a potential trend reversal, marked by a change in candle colors on the chart. Green represents an upward trend, while red signifies a downward trend, making it visually intuitive for traders.
This indicator's simplicity and clarity make it a valuable addition to any trader's toolkit. By focusing on trend direction and filtering out minor fluctuations, it helps traders stay focused on significant market movements. The integration of customizable settings ensures adaptability to various trading preferences, providing both novice and experienced traders with a reliable tool for intraday decision-making. The "Intraday Chaos Filter" offers an effective way to navigate market noise, enabling traders to identify opportunities with confidence.
Dynamic Customizable 50% Line & Daily High/Low + True Day OpenA Unique Indicator for Precise Market-Level Analysis
This indicator is a fully integrated solution that automates complex market-level calculations and visualizations, offering traders a tool that goes beyond the functionality of existing open-source alternatives. By seamlessly combining several trading concepts into a single script, it delivers efficiency, accuracy, and customization that cater to both novice and professional traders.
Key Features: A Breakdown of What Makes It Unique
1. Adaptive Daily Highs and Lows
Automatically detects and plots daily high and low levels based on the selected time frame, dynamically updating in real time.
Features session-based adjustments, allowing traders to focus on levels that matter for specific trading sessions (e.g., London, New York).
Fully customizable styling, visibility, and alerts tailored to each trader’s preferences.
How It Works:
The indicator calculates daily high and low levels directly from price data, integrating session-specific time offsets to account for global trading hours. These levels provide traders with clear visual markers for key liquidity zones.
2. Automated ICT 50% Range Line
A pioneering implementation of ICT’s mid-range concept, this feature dynamically calculates and displays the midpoint of the daily range.
Offers traders a visual guide to identify premium and discount zones, aiding in determining market bias and potential trade setups.
How It Works:
The script calculates the range between the day’s high and low, dividing it by two to generate the midline. This line updates in real-time, ensuring that traders always see the most current premium and discount levels as price action evolves.
3. Dynamic Market Open Levels
Plots session opens (e.g., Asia, London, New York) and the True Day Open to provide actionable reference points for intra-day trading strategies.
Enhances precision in identifying liquidity shifts and aligning trades with institutional price movements.
How It Works:
The indicator uses predefined session times to calculate and display the opening levels for key trading sessions. It dynamically adjusts for time zones, ensuring accuracy regardless of the trader’s location.
4. Custom Watermark for Enhanced Visualization
Includes an optional watermark feature that allows users to display custom text on their charts.
Ideal for personalization, branding, or highlighting session notes without disrupting the clarity of the chart.
Why This Indicator Stands Out
First-to-Market Automation:
While the ICT 50% range line is a widely recognized concept, this is the first script to automate its calculation, combining it with other pivotal trading levels in a single tool.
All-in-One Functionality:
Unlike open-source alternatives that focus on individual features, this script integrates daily highs/lows, mid-range levels, session opens, and customizable watermarks into one cohesive system. The consolidation reduces the need for multiple indicators and ensures a clean, efficient chart setup.
Dynamic Customization:
Every feature can be adjusted to align with a trader’s strategy, time zone, or aesthetic preferences. This level of adaptability is unmatched in existing tools.
Proprietary Logic:
The indicator’s underlying calculations are built from scratch, leveraging advanced programming techniques to ensure accuracy and reliability. These proprietary methods differentiate it from similar open-source scripts.
How to Use This Indicator
Apply the Indicator:
Add it to your TradingView chart from the library.
Configure Settings:
Use the intuitive settings panel to adjust plotted levels, colors, styles, and visibility. Tailor the indicator to your trading strategy.
Incorporate into Analysis:
Combine the plotted levels with your preferred trading approach to identify liquidity zones, establish market bias, and pinpoint potential reversals or entries.
Stay Focused:
With all key levels automated and updated in real time, traders can focus on execution rather than manual plotting.
Originality and Justification for Closed Source
This script is closed-source due to its unique combination of features and proprietary logic that automates complex trading concepts like the ICT 50% range line and session-specific levels. Open-source alternatives lack this level of integration and customization, making this indicator a valuable and original contribution to the TradingView ecosystem.
What Sets It Apart from Open-Source Scripts?
Unlike open-source tools, this indicator doesn’t just replicate individual features—it enhances and integrates them into a seamless, all-in-one solution that offers traders a more efficient and effective way to analyze the market.
PivotBuilderOverview
PivotBuilder is a versatile trading tool that allows traders to create up to eight pivot lines, calculated using moving averages and standard deviation offsets, for enhanced market analysis and trade signal generation. These pivot lines work in conjunction with a trigger line to generate long and short signals based on user-defined parameters.
Key features:
Build strategies based on interaction between a moving average and any one or more of the 8 pivot lines - all fully configurable.
Customizable moving average types for pivot and trigger lines (SMA, EMA, VWMA).
Optional global pivot line configuration to simplify parameter adjustments.
Signal persistence options: signals can last for only one bar or until the opposite signal is issued.
Strategy visualization on chart.
Ideal for intraday and swing traders seeking dynamic support/resistance analysis and related strategies.
Key Concepts:
Customizable Pivot Lines
Create up to eight pivot lines with individually adjustable lengths, moving average types, and standard deviation offsets.
Optionally enable or disable signal generation for each pivot line.
Global Pivot Line Settings
Use a single global length for all pivot lines with one input for quicker configuration.
Signal Persistence
Choose between signals lasting only for the current bar or remaining active until the opposite signal is issued.
Chart Highlighting
Green background: Long signal is active.
Red background: Short signal is active.
Alerts
Configure alerts for signals via email, Discord, pop-ups, or sound using TradingView's native alert function.
Input Parameters
Global Settings:
Use Global Length for Pivot Lines: Enable this to apply a single length value to all pivot lines.
Global Pivot Line Length: The length to apply when the global setting is enabled.
Signal Mode:
Signal Mode: Select how long signals persist.
One Bar Only: Signals last only for the current bar.
Until Opposite Signal: Signals remain active until the opposite signal is triggered.
Trigger Line:
Trigger Line Moving Average Length: Set the length of the moving average for the trigger line.
Trigger Line MA Type: Choose the moving average type (Simple - SMA, Exponential - EMA, Volume-Weighted - VWMA).
Pivot Lines:
Each of the eight pivot lines has the following configurable settings:
Length: Define the moving average length. Overrides the global length if global settings are disabled.
MA Type: Choose between Simple - SMA, Exponential - EMA, Volume-Weighted - VWMA.
Standard Deviation: Set the standard deviation offset for the pivot line.
Enable Signal: Turn signal generation on/off for the specific pivot line.
Example Strategy on Nasdaq Futures (NQ, 1-minute Chart)
Long Signal:
A long signal is generated when:
The trigger line crosses above Pivot Line, Pivot Line 2, Pivot Line 3, and Pivot Line 4.
Short Signal:
A short signal is generated when:
The trigger line crosses below Pivot Line, Pivot Line 2, Pivot Line 3, and Pivot Line 4.
Configuration Example:
Global Settings:
Use Global Length for Pivot Lines: Disabled (to allow individual lengths for each pivot line).
Signal Mode: Until Opposite Signal (signals persist until the opposite signal is triggered).
Trigger Line:
Trigger Line Moving Average Length: 5.
Trigger Line MA Type: EMA (Exponential Moving Average).
Pivot Line 1:
Length: 20.
MA Type: EMA (Exponential Moving Average).
Standard Deviation: 0.25.
Enable Signal: True.
Pivot Line 2:
Length: 50.
MA Type: EMA (Exponential Moving Average).
Standard Deviation: -0.5.
Enable Signal: True.
Pivot Line 3:
Length: 50.
MA Type: EMA (Exponential Moving Average).
Standard Deviation: 1.
Enable Signal: True.
Pivot Line 4:
Length: 40.
MA Type: EMA (Exponential Moving Average).
Standard Deviation: 2.0.
Enable Signal: True.
Set Pivot Lines 5-8 disabled.
Signals:
Green Highlight: Indicates a long signal is active.
Red Highlight: Indicates a short signal is active.
Alerts
PivotBuilder allows you to set alerts for long or short signals. Here’s how to set them up in TradingView:
Add the Indicator: Attach PivotBuilder to your chart.
Open Alert Menu: Right-click on the chart and select Add Alert.
Condition: Choose your symbol (e.g., NQ) and select PivotBuilder.
Alert Options:
Crossing: Choose if you want to be alerted for "long" or "short" signals.
Notifications: Configure alerts via:
Email: Receive email alerts when signals are triggered.
Webhook: Set up Discord notifications via webhooks.
Pop-ups: Show an on-screen alert in TradingView.
Sound: Play a sound when a signal is issued.
Create: Save the alert.
Signal Persistence: How It Works
PivotBuilder gives you control over how long signals remain active:
One Bar Only:
Signals are active for the current bar only.
At the close of the bar, signals reset automatically.
Until Opposite Signal:
A long signal remains active until a short signal is triggered and vice versa.
Useful for trend-following strategies.
Development Roadmap
Future updates for PivotBuilder will include:
New Moving Average Types: Expand the available moving average options for both the pivot and trigger lines. Planned additions include, Weighted Moving Average (WMA), Hull Moving Average (HMA), Least Squares Moving Average (LSMA), and more.
Dynamic Volume Filtering: Add volume-based conditions to validate signals during periods of high market activity, filtering out low-liquidity signals.
Incorporation of Support/Resistance Calculations: Integrate traditional and alternative methods of support and resistance calculations into pivot lines such as Fibonacci retracements, Average True Range (ATR), volume-profile based support.
Automated trading via Strategy companion add-on.
Codi's Perp-Spot Basis# Perp-Spot Basis Indicator
This indicator calculates the percentage basis between perpetual futures and spot prices for crypto assets. It is inspired by the original concept from **Krugermacro**, with the added improvement of **automatic detection of the asset pairs** based on the current chart symbol. This enhancement makes it faster and easier to apply across different assets without manual configuration.
## How It Works
The indicator compares the perpetual futures price (e.g., `BTCUSDT.P`) to the spot price (e.g., `BTCUSDT`) on Binance. The difference is expressed as a percentage: (Perp - Spot) / Spot * 100
The results are displayed in a color-coded graph:
- **Blue (Positive Basis):** Perpetual futures are trading at a premium, indicating **bullish sentiment** among derivatives traders.
- **Red (Negative Basis):** Perpetual futures are trading at a discount, indicating **bearish sentiment** among derivatives traders.
This percentage basis is a core component in understanding funding rates and derivatives market dynamics. It serves as a faster proxy for funding rates, which typically lag behind real-time price movements.
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## How to Use It
### General Concept
- **Red (Negative Basis):** Ideal to execute **longs** when derivatives traders are overly bearish.
- **Blue (Positive Basis):** Ideal to execute **shorts** when derivatives traders are overly bullish.
### Pullback Sniping
1. During an **uptrend**:
- If the basis turns **red** temporarily, it can signal an opportunity to **buy the dip**.
2. During a **downtrend**:
- If the basis turns **blue** temporarily, it can signal an opportunity to **sell the rip**.
3. Wait for the basis to **pop back** (higher in uptrend, lower in downtrend) to time entries more effectively—this often coincides with **stop runs** or **liquidations**.
### Intraday Execution
- **When price is falling**:
- If the basis is **red**, the move is derivatives-led (**normal**).
- If the basis is **blue**, spot traders are leading, and perps are offside—wait for **price dumps** before longing.
- **When price is rising**:
- If the basis is **blue**, the move is derivatives-led (**normal**).
- If the basis is **red**, spot traders are leading, and perps are offside—wait for **price pops** before shorting.
### Larger Time Frames
- **Consistently Blue Basis:** Indicates a **bull market** as derivatives traders are bullish over the long term.
- **Consistently Red Basis:** Indicates a **bear market** as derivatives traders are bearish over the long term.
---
## Improvements Over the Original
This version of the Perp-Spot Basis indicator **automatically detects the Binance perpetual futures and spot pairs** based on the current chart symbol. For example:
- If you are viewing `ETHUSDT`, it automatically references `ETHUSDT.P` for the perpetual futures pair and `ETHUSDT` for the spot pair in BINANCE.
ROC-Weighted MA Oscillator [SeerQuant]ROC-Weighted MA Oscillator (ROCWMA)
The ROC-Weighted MA Oscillator (ROCWMA) is a momentum-based indicator which uniquely combines the Rate of Change (ROC) with customizable moving averages, offering a dynamic oscillator for trend analysis. Featuring z-score normalization and weighted MA integration, the ROCWMA delivers actionable trend signals with customizable thresholds.
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⚙️ How It Works
1️⃣ Rate of Change (ROC) Normalization
The indicator begins with a normalized ROC calculation over a customizable length, transforming raw momentum data into a dynamic range for enhanced analysis.
2️⃣ Weighted Moving Average (MA)
A custom moving average (MA) is calculated using selectable MA types such as TEMA, SMA, EMA, and more. The normalized ROC is then applied as a weight to derive the ROC-Weighted MA (RWMA), blending trend and momentum data.
3️⃣ Z-Score Oscillator
The RWMA is normalized using z-score calculations, resulting in a smoothed oscillator. This process highlights deviations from the mean, identifying overbought and oversold conditions dynamically.
4️⃣ Threshold Logic
Bullish (Uptrend): Oscillator exceeds the positive threshold.
Bearish (Downtrend): Oscillator drops below the negative threshold.
Neutral: Oscillator remains between thresholds.
5️⃣ Dynamic Visual Representation
A color-coded histogram reflects trend strength and direction.
Optional candle coloring visually emphasizes trends on the chart.
Gradient fills enhance clarity of threshold areas.
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✨ Customizable Settings
ROC Settings
Define the ROC length for momentum calculation.
MA Settings
Choose from multiple MA types (TEMA, EMA, SMA, etc.).
Customize the length and data source for MA calculations.
Adjust the signal length for smoothing.
Threshold Settings
Set neutral, bullish, and bearish thresholds to match your strategy.
Style Settings
Toggle candle coloring for visual trend enhancement.
Select from five unique color schemes to suit your chart style.
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🚀 Features and Benefits
Momentum-Weighted Analysis: Combines ROC with advanced moving averages for precise trend evaluation.
Dynamic Thresholds: Z-score-based logic adapts to market conditions.
Visual Clarity: Color-coded histograms, candles, and gradient fills make trend detection intuitive.
Highly Customizable: Flexible inputs and multiple MA types ensure adaptability to various trading styles.
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📜 Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Users should consult a licensed financial advisor before making trading decisions. Use at your own risk.
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Dynamic EMA CrossoverThe Dynamic EMA Crossover indicator is designed to help traders identify trend transitions, visually understand market direction, and detect sideways consolidation zones. It simplifies decision-making by dynamically changing colors and highlighting areas of interest.
Key Features:
1. Dynamic EMA Crossovers:
• Uses two EMAs (default: 9 and 26 ) to identify bullish and bearish trends.
• EMAs and the area between them turn green during bullish trends and red during bearish trends for easy visualization.
2. Sideways Market Detection:
• Automatically detects periods of market consolidation when EMAs overlap for 10 consecutive candles and the price movement remains narrow.
• Sideways zones are highlighted with grey background, helping traders avoid false breakouts and trendless markets.
3. Customizable Inputs:
• Adjust the lengths of the two EMAs and the sensitivity of the overlap detection to match your trading style and market conditions.
How It Works:
• Trend Identification:
• When the shorter EMA crosses above the longer EMA, a bullish trend is indicated.
• When the shorter EMA crosses below the longer EMA, a bearish trend is indicated.
• The indicator dynamically adjusts the colors of the EMAs and fills the area between them for clear trend visibility.
• Sideways Market Detection:
• When the shorter EMA and longer EMA stay close (within a customizable sensitivity) for a fixed period (hardcoded to 10 candles), the indicator identifies a sideways market.
• This feature helps traders avoid entering trades during choppy or indecisive market conditions.
Who Is This For?
This indicator is ideal for:
• Trend traders looking for clear signals of trend direction.
• Swing traders who want to avoid trading in sideways markets.
• Scalpers who need quick and reliable visual cues for short-term market behavior.
Use Cases:
1. Bullish/Bearish Trends:
• Enter trades in the direction of the trend as the crossover occurs and colors change.
2. Sideways Zones:
• Avoid trades during periods of consolidation and wait for a clear breakout.
Mashup Logic:
This indicator combines:
1. EMA Crossovers:
• A tried-and-tested method for trend detection using two moving averages.
• Dynamic visual cues for bullish and bearish market phases.
2. Sideways Market Detection:
• Innovative logic to highlight sideways zones based on EMA overlap and price range analysis.
• Helps reduce noise and avoid trading during trendless periods.
3. Customization and Flexibility:
• Fully adjustable EMA lengths and overlap sensitivity to adapt to different markets and trading styles.
Dual EMA Proportion Variance | JeffreyTimmermansDual EMA Proportion Variance
The "Dual EMA Proportion Variance" Indicator provides a robust way to analyze price trends, volatility, and momentum using dual EMA calculations combined with percentile-based thresholds. This approach enables traders to identify significant bullish and bearish trends while incorporating smoothing and tailoring options for better adaptability.
Key Features
Dual EMA with Proportion Variance
DEMA Calculation: Computes the Dual Exponential Moving Average (DEMA) based on a user-defined length and source.
Proportion Thresholds: Uses percentile-based thresholds (e.g., 60/45, 60/40, 55/45, or 55/40) to determine upper and lower bounds for trend detection. Percentile thresholds help identify key levels of market behavior based on historical data.
Momentum and Volatility Analysis
Momentum Calculation: Computes momentum based on proximity to percentile levels, smoothed using a simple moving average (SMA) if enabled.
Volatility Incorporation: Uses the standard deviation (SD) of the lower percentile (PerDown) to define additional levels of significance.
Smoothing and Trend Calculation
Smoothing Options: Enables optional smoothing for momentum and trend values, helping reduce noise.
EMA Confluence: Adds an additional EMA overlay to enhance the trend confirmation process.
Customizable Visuals
Background Coloring: Dynamically changes the background color based on trend direction (bullish or bearish).
Momentum Plotting: Displays smoothed momentum and EMA confluence lines on the chart, with clear visual differentiation.
Alerts
Bullish Signal: Triggers when the trend transitions from neutral or bearish to bullish.
Bearish Signal: Triggers when the trend transitions from neutral or bullish to bearish.
Inputs Overview
DEMA Inputs
Length (DemaLen): Defines the length of the Dual EMA calculation.
Source (DemaSrc): Allows selection of price data (e.g., high, low, close) for the DEMA computation.
Proportion Settings
Proportion Length (PerLen): Defines the lookback period for percentile calculations.
Proportion Type (pertype): Choose from predefined combinations (e.g., 60/45, 60/40) to customize thresholds.
Smoothing Options
Enable Smoothing (UseSmoothing): Toggle to enable or disable smoothing.
Smoothing Length (SmoothingLen): Specifies the lookback period for smoothing.
Standard Deviation
Length (SDlen): Length of the lookback period used to calculate the standard deviation.
Tailoring
Bullish/Bearish Colors (ColUp/ColDown): Customizable colors for bullish and bearish trends.
Background Colors (ShowBGCol): Toggle to enable or disable background coloring.
Momentum Plot (PlotMomentum): Toggle to show or hide the momentum plot.
EMA Confluence
Enable Extra EMA (IncludeEma): Adds an additional EMA layer for trend confirmation.
Length (EmaLen): Defines the length of the EMA.
Indicator Behavior
Trend Detection
Bullish Trend: When the smoothed momentum (smoothedPT) is above zero and higher than the EMA (if enabled).
Bearish Trend: When the smoothed momentum is below zero and lower than the EMA (if enabled).
Signal Generation
Bullish Signal: Triggered on a crossover of smoothedTrend from negative to positive.
Bearish Signal: Triggered on a crossunder of smoothedTrend from positive to negative.
Customizations
Percentile Adjustments: Choose from various proportion thresholds to suit specific market conditions.
Smoothing Options: Fine-tune the level of noise reduction by adjusting smoothing parameters.
Visual Tailoring: Customize chart visuals, including colors, momentum plots, and background highlights.
EMA Inclusion: Optionally enable the extra EMA for more conservative trend confirmation.
Use Cases
Momentum Trading: Identify bullish or bearish momentum shifts based on percentile levels.
Volatility Assessment: Incorporate standard deviation levels to evaluate price volatility.
Trend Following: Align trades with dominant market trends using percentile thresholds and EMA confirmation.
Alerts for Automation: Set alerts for real-time notifications of potential trade opportunities.
This indicator provides flexibility and precision, making it suitable for a variety of trading styles, including trend following, swing trading, and momentum-based strategies.
This script is inspired by "Patito_1" . However, it is more advanced and includes additional features and options.
-Jeffrey
Directional Regime FilterThe Directional Regime Filter is a comprehensive tool designed to help traders identify the market’s dominant regime—bullish, bearish, or choppy/sideways. By blending a Jurik Moving Average (JMA), an RSI filter, an angle-based trend assessment, and multiple smoothing options, this indicator offers a refined approach to spotting trend direction and potential regime shifts. It highlights each regime visually on the chart, allowing you to quickly see when bullish or bearish momentum is emerging or fading.
Features:
The Jurik Moving Average, known for its low lag and smooth responsiveness, allows the tweaking of length, phase, and power to reduce noise while capturing price action effectively.
Relative Strength Index (RSI) with user-defined length and overbought/oversold levels serve as filters for trend confirmation.
A trend threshold is used to decide if the angle of the moving average is strong enough to be considered bullish or bearish. If the angle remains below this threshold, the market is considered to be “choppy” or sideways.
Multiple smoothing methods like EMA, Hull MA, RMA, WMA, or VWMA can be applied to the RSI and the trend angle calculations to further reduce whipsaws and noise.
Customizable timeframe analysis.
Regime Classification:
Bullish Regime: Displayed when the angle is positive beyond the set threshold and the RSI is bullish.
Bearish Regime: Displayed when the angle is negative beyond the set threshold and the RSI is bearish.
Choppy / Sideways Regime: Occurs when the angle does not exceed the threshold in absolute terms or does not meet RSI criteria.
Using the Directional Regime Filter:
This indicator works best when combined with support/resistance levels, volume analysis, or other momentum tools for confirmation.
Tailor the inputs for intraday, swing, or position trading to find an optimal balance between responsiveness and false signals.
Sudden spikes in volatility can cause rapid changes in the trend angle. Keep an eye on the broader market context. Always manage your risk accordingly.
Disclaimer: This indicator is intended for informational and educational purposes only. It is not financial advice. Always perform your own analysis and due diligence. Past performance does not guarantee future results. Use at your own risk.
Briss Thorn XtremeStrategy Description: Briss Thorn Xtreme
The Briss Thorn Xtreme is an innovative trading strategy designed to identify and capitalize on opportunities in the forex market through advanced technical analysis and dynamic risk management. This strategy combines calculations based on RSI and ATR with time and day filters, providing customized signals and real-time alerts via Discord. Ideal for traders seeking a structured and highly customizable methodology, Briss Thorn Xtreme integrates enhanced visual tools for efficient trade management.
Key Features:
RSI and ATR-Based Signals: Utilizes smoothed RSI and ATR calculations to identify trends and measure volatility, allowing for more precise detection of buy and sell opportunities.
Dynamic Stop-Loss (SL) and Take-Profit (TP) Levels: Automatically calculates SL and TP levels based on market volatility, dynamically adjusting to optimize risk management.
Advanced Discord Integration: Sends detailed alerts to your Discord channel, including information such as the asset, signal time, entry price, and SL/TP levels, facilitating real-time decision-making.
Complete Customization: Allows users to adjust key parameters such as RSI periods, smoothing factors, liquidity thresholds, trading schedules, and operation days, adapting to different trading styles and market conditions.
Enhanced Chart Visualization: Includes visual elements like candle color changes based on trend, colored boxes for SL and TP, and a summary table of recent trades, enabling quick market interpretation.
Day and Time Operation Filters: Enables selection of specific days of the week and time slots during which signals are generated, optimizing market exposure and avoiding periods of low liquidity or unwanted high volatility.
Trade Summary: Displays a summary of the last three trades directly on the chart, indicating whether TP or SL was reached, aiding in strategy performance evaluation.
Customizable Alert Messages: Allows customization of messages sent to Discord for buy and sell signals, tailoring them to your specific preferences and requirements.
Additional Visual Tools: Highlights the operational range on the chart during permitted trading hours and colors candles based on the current trend (bullish, bearish, or neutral), enhancing visibility and decision-making.
How the Strategy Works:
Technical Indicators Calculation:
- RSI (Relative Strength Index) : Calculates RSI with a defined period and smooths it using an Exponential Moving Average (EMA) to obtain a more stable and reliable signal.
- ATR (Average True Range) : Calculates ATR adjusted by a rapid liquidity factor to measure the current market volatility, thereby determining the strength of the trend.
Generating Buy and Sell Signals:
- Buy Signal: A buy signal is generated when the liquidity index surpasses the short liquidity level, indicating potential accumulation and an upward trend.
- Sell Signal: A sell signal is generated when the liquidity index falls below the long liquidity level, indicating potential distribution and a downward trend.
- Operation Conditions: Signals are only generated on selected days and times, avoiding periods of low liquidity or unwanted high volatility.
Dynamic SL and TP Levels Calculation:
- Stop-Loss (SL) and Take-Profit (TP): SL and TP levels are calculated based on the entry price and a defined number of ticks, automatically adjusting to market volatility to optimize risk management.
- SL and TP Visualization: Colored boxes are drawn on the chart for a clear visual reference of SL and TP levels, facilitating trade management.
Automatic Execution and Alerts:
- Order Execution: Upon signal generation, the strategy automatically executes a market order (buy or sell).
- Discord Alerts: Detailed alerts are sent to the configured Discord channel, providing essential information for swift decision-making, including asset, signal time, entry price, current volatility (ATR), and trend direction.
Trade Management and Monitoring:
- Trade Summary: A table on the chart displays a summary of the last three trades (Today, Yesterday, Day Before Yesterday), indicating whether TP or SL was reached, allowing real-time performance evaluation.
- Automatic Trade Closure: The strategy automatically closes trades upon reaching the established SL or TP levels, ensuring efficient risk management and preventing excessive losses.
Additional Visualization:
- Candle Coloring by Trend: Candles are colored based on the current trend (bullish, bearish, or neutral), facilitating quick identification of market direction.
- Operational Range Highlighting: The chart background is colored during permitted trading hours, highlighting active periods of the strategy and enhancing trade visibility.
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Strategy Properties (Important)
This backtest is conducted on M17 EURUSD using the following backtesting properties:
Initial Capital: $1000
Order Size: 1% of capital
Commission: $0.20 per order
Slippage: 1 tick
Pyramiding: 1 order
Price Verification for Limit Orders: 0 ticks
Recalculate on Order Execution: Enabled
Recalculate on Every Tick: Enabled
Recalculate After Order Execution: Enabled
Bar Magnifier for Backtesting Precision: Enabled
These properties ensure a realistic preview of the backtesting system. Note that default properties may vary for different reasons:
Order Size: It is essential to calculate the contract size according to the traded asset and desired risk level.
Commission and Slippage: These costs may vary depending on the market and instrument; there is no default value that guarantees realistic results.
All users are strongly recommended to adjust the properties within the script settings to align them with their trading accounts and platforms, ensuring that strategy results are realistic.
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Backtesting Results:
- Net Profit: $327.90 (32.79%)
- Total Closed Trades: 162
- Profit Percentage: 35.80%
- Profit Factor: 1.298
- Maximum Drawdown: $146.70 (10.27%)
- Average per Trade: $2.02 (0.02%)
- Average Bars per Trade: 22
These results were obtained under the mentioned conditions and properties, providing an overview of the strategy's historical performance.
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Interpretation of Results:
- The strategy has demonstrated profitability over the analyzed period, albeit with a success rate of 32.79%, indicating that success depends on a favorable risk-reward ratio.
- The profit factor of 1.298 suggests that total gains exceed total losses by this proportion.
- It is crucial to consider the maximum drawdown of 10.27% when evaluating the strategy's suitability to your risk tolerance.
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Risk Warning:
Trading with leveraged financial instruments involves a high level of risk and may not be suitable for all investors. Before deciding to trade, you should carefully consider your investment objectives, level of experience, and risk tolerance. Past performance does not guarantee future results. It is essential to perform additional testing and adjust the strategy according to your needs.
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What Makes This Strategy Original?
Unique RSI and Liquidity Focus: Unlike conventional strategies, Briss Thorn Xtreme focuses on combining RSI analysis with liquidity parameters to reflect institutional activity and macroeconomic events that may influence the market.
Advanced Technological Integration: The combination of automatic execution and customized alerts via Discord provides an efficient and modern tool for active traders.
Customization and Adaptability: The wide range of adjustable parameters allows the strategy to adapt to different assets, time zones, and trading styles, offering flexibility and complete user control.
Enhanced Visual Tools: Integrated visual elements, such as candle coloring, SL/TP boxes, and summary tables, facilitate quick market interpretation and informed decision-making.
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Additional Considerations
Continuous Testing and Optimization: Users are advised to perform additional backtests and optimize parameters based on their own observations and requirements.
Complementary Analysis: Use this strategy in conjunction with other indicators and fundamental analysis tools to reinforce decision-making and confirm generated signals.
Rigorous Risk Management: Ensure that SL and TP levels, as well as position sizes, are aligned with your risk management plan to avoid excessive losses.
Updates and Support: I am committed to providing updates and improvements based on community feedback. For inquiries or suggestions, feel free to contact me.
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Example Configuration
Assuming you want to use the strategy with the following parameters:
Discord Webhook: Your unique Discord Webhook
RSI Period: 6
RSI Smoothing Factor: 5
Rapid Liquidity Factor: 5
Liquidity Threshold: 5
SL Ticks: 100
TP Ticks: 250
SL/TP Box Width: 25 bars
Trading Days: Monday, Tuesday, Wednesday, Thursday, Friday
Trading Hours: Start at 8:00, End at 11:00
Simulated Initial Capital: $1000
Risk per Trade in Simulation: 1% of capital
Slippage and Commissions in Simulation: 1 tick slippage and $0.20 commission per trade
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Conclusion
The Briss Thorn Xtreme strategy offers an innovative approach by combining advanced technical analysis with dynamic risk management and modern technological tools. Its original and adaptable design makes it a valuable tool for traders looking to diversify their methods and capitalize on opportunities based on less conventional patterns. Ready for immediate implementation in TradingView, this strategy can enhance your trading arsenal and contribute to a more informed and structured approach in your operations.
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Final Disclaimer:
Financial markets are volatile and can present significant risks. This strategy should be used as part of a comprehensive trading approach and does not guarantee positive results. It is always advisable to consult with a professional financial advisor before making investment decisions.
BK Multiple MA, RMA, SMA, HMA, VWAP, Rolling VWAP **Indicator Description**
I’m incredibly proud to introduce my third indicator to the TradingView community: **BK Multiple MA with HMA, VWAP, and Rolling VWAP**! This tool has been a game-changer in my trading strategy, and I’m excited to share it with others who are navigating the markets.
This indicator holds a special place in my heart because it represents the first technical analysis concept introduced to me by my mentor when I began apprenticing under him. His wisdom, guidance, and passion for trading—and for life—left an indelible mark on my journey. I dedicate this work, and every indicator I introduce, to the foundation he helped me build, while giving glory first and foremost to God.
**Moving Averages (MAs)** are one of the most widely used tools in technical analysis, and this indicator takes them to the next level. It allows you to plot **six fully customizable moving averages simultaneously**, with options including:
- **Exponential Moving Average (EMA)**
- **Simple Moving Average (SMA)**
- **Relative Moving Average (RMA)**
- **Hull Moving Average (HMA)**
- **Volume Weighted Average Price (VWAP)**
- **Rolling VWAP**
This flexibility makes the indicator highly versatile, whether you’re a day trader, swing trader, or long-term investor. By customizing periods, colors, and line widths for each MA, you can tailor the indicator to perfectly suit your trading style.
**Key Features**
1. **Six Fully Customizable MAs**:
- Adjust periods, line colors, and widths to match your preferences.
- Select from EMA, SMA, RMA, HMA, VWAP, or Rolling VWAP for each line.
2. **Unique Rolling VWAP Option**:
- Rolling VWAP calculates the volume-weighted average price over a user-defined period, such as 200 candles.
- This feature is ideal for traders seeking volume-weighted levels that don’t reset with each session, making it invaluable for trend-following and swing trading.
3. **HMA for Smoother Trends**:
- The Hull Moving Average (HMA) is designed to reduce lag and provide a responsive, noise-free view of price trends.
- It’s a powerful tool for spotting reversals and confirming directional momentum.
4. **Session VWAP**:
- Traditional VWAP resets with each trading session, making it a reliable benchmark for intraday support and resistance levels.
**How It Works**
- **VWAP**: Reflects the average price weighted by volume for the current trading session, commonly used by institutional traders to identify key price levels.
- **Rolling VWAP**: Extends VWAP functionality by calculating over a user-defined period, allowing for flexible multi-timeframe analysis.
- **HMA**: A fast, smooth moving average that reacts quickly to price changes while filtering out noise.
The combination of these options provides traders with a comprehensive view of market dynamics, enabling better decision-making.
**Final Thoughts**
This indicator is deeply meaningful to me because it represents the first concept my mentor introduced when I began apprenticing under him. His wisdom, guidance, and passion for trading—and for life—left an indelible mark on my journey. I dedicate this work, and every indicator I introduce, to the foundation he helped me build, while giving glory first and foremost to God.
If this indicator helps you succeed, I humbly ask that you honor the blessings in your life by giving back—whether through acts of kindness, philanthropy, or helping others in need.
May the Almighty guide us all toward wisdom and success in our endeavors. All glory belongs to God!
Mr. Filter Kalman - [by Oberlunar]The "Mr. Filter Kalman" is an advanced trading indicator designed for in-depth market analysis and decision-making by combining PID systems and Kalman filter.
The PID system is a feedback mechanism that adjusts outputs based on the error between the current price and its volatility. The proportional component reacts to the size of the current error, providing immediate feedback. The integral component accumulates past errors, addressing persistent trends or biases in price movements. The derivative component predicts future price changes by analyzing the rate of error change, offering a forward-looking dimension to the system. Together, these components smooth out noisy price data and identify meaningful trend shifts.
The Kalman filter adds a layer of sophistication by serving as a powerful noise reduction tool. It estimates the underlying trend of the price by dynamically adjusting its sensitivity to volume and price movements. By using a smoothing factor (𝛼), the filter calculates a weighted difference between the current price and its previous estimate, adapting to new data while minimizing the impact of short-term fluctuations. This ensures that the signals generated by the PID system are clear and reliable.
The integration of these two systems works synergistically. The PID system detects deviations and trend changes by analyzing historical and real-time data, while the Kalman filter ensures these signals are free from noise and distortions.
How it works
When the smoothed PID signal crosses below the Kalman filter, it reflects a shift in market dynamics where recent price deviations are indicating potential bearish momentum. The PID signal, being highly responsive to changes in price through its proportional, integral, and derivative components, captures the immediate transition towards selling pressure. Meanwhile, the Kalman filter, with its noise reduction capabilities, represents the smoothed and lagging trend of the market. This lag allows the Kalman filter to act as a reference point, ensuring that the short signal is not triggered by insignificant fluctuations or false movements.
Conversely, when the smoothed PID signal crosses above the Kalman filter, it indicates a strengthening of bullish momentum. The crossing suggests that price deviations are showing a consistent upward movement that outweighs the smoothed trend captured by the Kalman filter. In this case, the Kalman filter again acts as a stabilizing reference point, confirming that the upward movement is not merely transient noise but part of a larger trend.
PID System
The PID system (Proportional, Integral, Derivative) is used to create trading signals based on the difference (error) between the current price and its volatility:
Proportional (P) : Reacts to the current error.
Integral (I) : Accounts for accumulated past errors.
Derivative (D) : Predicts future changes based on the error's rate of change.
The output is a smoothed PID signal, which is ideal for detecting trends and reversals.
Kalman filter
The Kalman filter is a powerful tool to reduce market noise and provide clearer signals:
Smoothing Factor (α) : Adjusts the filter’s sensitivity.
Ideal for volatile markets and medium term strategies.
This feature combines signals from 10- and 15-minute charts, paired with a higher timeframe of 1D, to:
Confirm long-term trends.
Enhance the reliability of entry and exit signals.
Note: Due to this configuration, the indicator is best suited for intraday trading or, at most, weekly strategies . Avoid using timeframes larger than 15 minutes for the primary analysis to ensure optimal signal precision.
Customizable Parameters
Proportional Coefficient (kP): Controls sensitivity to current errors.
Integral Coefficient (kI): Adjusts the weight of accumulated errors.
Derivative Coefficient (kD): Enhances reactivity to error changes.
Lookback Period: Defines the period for moving average calculations.
Kalman Smoothing Factor (α): Determines the intensity of Kalman filtering.
Higher Timeframe: Specifies the timeframe for confirmation signals.
Important Notes
Originality: This script leverages advanced and innovative techniques to provide unique value to traders. It is entirely original, with no borrowed source code from other developers. The methods implemented are distinct and do not rely on basic approaches such as simple moving averages or similar conventional techniques.
Detailed Description: Every component is designed to improve signal reliability and simplify decision-making.
Publishing Guidelines: This guide adheres to TradingView’s rules for invite-only - closed-source scripts.
My long-term promise: The script will be updated following your suggestitions.
Inside Bar/Outside Bar/Mother Bar Box By SmartTrader888This Indicator shows:
1. Inside Bar
2. Outside Bar
3. Mother Bar box (Box the mother bar and all subsequent inside bars)
This indicator handles correctly the edge conditions such as:
1. bar close = bar open
2. current bar low equals to mother bar low or current bar high equals mother bar high
MTF Fractal Bias Confluence DetectorMTF Fractal Bias Confluence Detector
This indicator, the MTF Fractal Bias Confluence Detector, is based on the idea that the market exhibits fractal behaviour. The origin of the idea traces back to 1963, when Benoit Mandelbrot analyzed the fluctuations in cotton prices over a time series starting in 1900, discovering that price changes exhibited scale-invariant patterns. This means that the curve representing daily price changes mirrored the shape of monthly price changes, highlighting the fractal nature of market behaviour. When applied to swing points across multiple timeframes (MTF), this concept suggests that swing points demonstrate similar patterns regardless of the timeframe being analyzed. These self-similar fractal structures provide traders with insights into market reversals and trends, making them a powerful tool for multi-timeframe analysis.
A Swing Point is made up of three main parts: a move away from the last Break level; forming a peak (pivot point) with a Fakeout of the peak (explained through an example later); and a subsequent move away from it. These swing points recur across all timeframes as part of cyclical momentum patterns, meaning each swing point gives rise to a new cycle of market movement. Due to the fractal nature of the market, larger cycles encompass multiple smaller ones.
The theory behind the Fractal Bias Confluence Detector utilizes the idea that the market movements are fractal in nature and illustrates how such swing points can be identified across MTFs. To do so, we examine the Peak Fakeouts within these cycles, as they form. It is not possible to know in advance how long each of these moves will last, but a Swing Point will often occur with a Peak Fakeout. Therefore, the most critical element is to identify the Peak Fakeout.
The snapshot below captures a Peak Fakeout, as discussed earlier.
Similarly, the following snapshot shows various possible breakdowns of Higher Time Frame (HTF) cycles into smaller Lower Time Frame (LTF) movements. The chart contains a white table(not part of the indicator and shown for illustration purposes only).
To further illustrate. Consider the combination of Time Frames (TF) from the 2nd row (from the above snapshot). Cycle TF (1M), Setup TF (1W), Momentum TF (1D) etc.
Price movements in the 1M TF highlight the direction in which HTF traders are pushing the market. Often, when markets have broken out of a level, they tend to form a peak and can then pull back towards the prior breakout level. Once the pullback is beyond the last breakout level, in the opposite direction, we may say the peak formation is created, and directional bias has changed. This is also called Peak Fakeout. Due to the fractal nature of the market, Swing Points on the HTF will often constitute multiple Swing Points on the LTF, though they are not always in sync. However, after such peak formation, there is a high probability that the price might move away from the peak for at least 1 candle (in the cycle TF). This theory illustrates that once a new cycle is in play, we can then look at 1W (Setup TF) to look for possible in-sync movements, at least within that 1 candle of the HTF. Repeating the same for further lower TFs, we may arrive at a confluence of Fractal Bias and see how the movements in LTF are driven by the HTF momentum.
Another example within the chart:
Note: The above examples are just for illustration purposes, and other permutations and combinations of movements across multiple TFs are also possible.
This indicator aims to help users identify such fractal-bias-confluences, so that they can leverage the fractal nature of the market to get a holistic view. To do so, the indicator displays how the market has moved across multiple time frames, with respect to different historical levels.
Features:
1. The bias summary table
The following snapshot depicts the bias summary table at the bottom right of the chart.
1.1. Workings: The table will display, for various TFs, in the first four (starting from "current" to Prev ) rows, one of the following.
"F/H" , " Acronym for the failed break of the previous high",
"F/L" , " Acronym for the failed break of the previous low",
"B/H" , " Acronym for the break of the previous high",
"B/L" , " Acronym for the break of the previous low",
"IN" , " Acronym for an inside candle (never broke high or low of perv candle)",
"OT" , " Acronym for an outside candle (broke both high and low of previous candle and closing price is in between previous high and low)".
Note: these acronyms are customizable according to the user's choice of terminology in any language, as shown in the snapshot below.
1.1.1 In the above snapshot, the 1st row, called "Current", shows how the current candle is evolving with respect to the previous one. The "previous" row shows how the previous candle closed with respect to the pre-previous one. The next two rows represent the bias of the pre-previous and pre-pre-previous in a similar manner. By default, the bias is updated in real-time, even for the already closed historical candles. For example, if the previous 4H candle closed as a B/H and the current price then comes below the pre-previous 4H candle high, then the bias of the previous candle will get updated to F/H. This informs the user that the break above the pre-previous high has failed. However, the user has the option to turn this off. The information in these four rows shows the user how the market is moving currently and how it evolved before reaching the current price levels.
Note: The calculation done by the indicator is to keep track of how the price is moving with respect to the last candle levels in real-time. This means if the price first goes above the previous high and then goes below the previous low, the indicator is equipped to display what happened in the most recent time. The snapshot below shows the option to turn on/off such updates in the bias summary table.
Note: While the bias summary table is turned on, the user also has the option to turn off Prev and Prev rows, as shown in the snapshot below.
1.1.2 The 2nd to last row, called CL/CS(Consecutive Long/Short), shows whether consecutive (2+) breaks of high/low happened or not in one direction without taking out the previous candle's range in the opposite direction. When conditions are met, it will show the number of times the price has been pushed in one direction (in the above manner), followed by "L" for long and "S" for short, for each TF, for example, "4L". It gets updated in real-time for each push in the same direction. Furthermore, a good analogy of "4L" on an HTF is 4 consecutive Break of Structure (BOS) (in the same direction) on LTF, without a Change of Character (CHoCH). Another example would be Stacey Burke's 3 consecutive rises that can be mapped in the indicator, if the conditions are met for "3L" for a given TF.
1.1.3 The last row, FRC/FGC, stands for the first red/green candle. It shows whether the last candle of a TF has closed as green (i.e., close>open) after posting two red candles (i.e., close<open). This helps understand possible short-term retracements in price movements.
1.2 Customizability
1.2.1 We provide a wide range of customizable options, including multiple time frames to choose from for each type of TFs. This is shown in the snapshot below.
1.2.2 All the acronyms on the summary table are customizable and can be user-defined, including text, background color and transparency. This is shown in the snapshot below.
2. High-low lines
2.1 We also show the high and low of various TFs, including the current high and low lines (which are updated in real-time. This can be observed in one of the previous snapshots.
2.2 Previous high, low and close lines can be extended (for Cycles, Setups and Momentum TFs). Their style and thickness are also customizable. This can be observed in one of the previous snapshots.
Note: The user has the option to turn all the lines off. Sub-options include turning off the current line only. Changing the color, thickness, and transparency of the lines. This can be observed in one of the previous snapshots.
3. Last known Break / Failed Break lines.
3.1 We also depict the last known Break and Failed break lines for the user to have all the important levels at their disposal. This can be observed in one of the previous snapshots.
Note: The user has the option to turn this on/off.
4. Magnifier Box
4.1 We have provided the user to look at thirty 1m candles inside a magnifier box while they are in a higher TF chart.
The user has the option to turn this on/off.
5. Moving Averages (MA)
We have also grouped some built-in MA options for the user to utilize along with other elements of the indicator to help them get another layer of confluence.
The user has the option to turn this on/off.
Disclaimer:
The indicator leverages pre-existing theories of market movements. These can be found in decades-old published materials (like books, journals, public lectures accessible over popular video-sharing websites, etc.). As such, we do not claim to have any exclusive rights over the underlying theories. There are many analogous theories and nomenclatures that users can map onto this indicator. Users may also use the indicator in combination with other indicators.
1. Educational Use Only
The "MTF Fractal Bias Confluence Detector" is provided for educational purposes only. It does not constitute an offer, or an obligation, or a guarantee, of profitable trades or loss prevention.
2. No Financial Advice
This tool should not be viewed as financial advice for either trading or investment(s).
3. User Responsibility
Users alone bear all risks associated with any decisions they make using this tool. Past performance does not guarantee future results.
By using the "MTF Fractal Bias Confluence Detector," you acknowledge that you have read, understood and accepted this disclaimer in its entirety.
Robinhood Crypto Combined Volume Tracker
This indicator provides a comprehensive visualization of the combined trading volume for all cryptocurrency pairs available on Robinhood, tailored to the selected region (USA or Europe). The chart dynamically updates based on your selected region, providing actionable insights into market activity.
Features:
Dynamic Region Selection: Toggle between USA and Europe to display the relevant trading pairs for your region.
Combined Volume Visualization: Aggregates and plots the total trading volume for all selected cryptocurrency pairs.
Dynamic Background: Background color changes based on the selected region for visual clarity.
Real-Time Debug Label: Displays the selected region and current total combined volume on the latest bar.
Color-Coded Chart: Distinct plot colors for USA (blue) and Europe (green) to easily identify the region.
Use Cases:
Market Trends: Monitor total crypto market activity to gauge investor interest and trading momentum in different regions.
Region-Specific Analysis: Compare trading behavior between USA and Europe by switching regions.
Volume Comparisons: Assess market strength by observing changes in combined volume over time.
How to Use:
Select your desired region (USA/Europe) using the "Select Region" dropdown.
View the combined trading volume plot on the chart.
Use the background color and chart plot for quick identification of region-specific data.
Notes:
The combined volume calculation is based on the daily timeframe (D) and updates dynamically.
Ensure the selected region matches your area of interest to get accurate insights.
This indicator is ideal for traders looking to analyze and compare crypto trading activity across regions in a consolidated view.
Buy Signal Forex & Crypto v0 ImprovedPurpose of the Script:
This script is designed to generate buy and sell signals for trading Forex and cryptocurrencies by analyzing price trends using exponential moving averages (EMAs), volatility, and volume filters. The signals are displayed as arrows on the chart.
What the Script Does
Input Settings:
The script allows the user to configure various settings, such as the lengths of EMAs, a higher timeframe for trend confirmation, and thresholds for volume and volatility (ATR - Average True Range).
Key settings:
5 EMA Length – Length of the short-term EMA.
13 EMA Length – Length of the medium-term EMA.
26 EMA Length – Length of the long-term EMA.
21 EMA Length – Used for trend confirmation on a higher timeframe.
Higher Timeframe – Lets you select a timeframe (e.g., daily) for confirming the overall trend.
ATR Threshold – Filters out signals when the market's volatility is too low.
Volume Filter – Ensures sufficient trading activity before generating signals.
Calculating EMAs (Exponential Moving Averages):
Four EMAs are calculated:
ema5 (short-term), ema13 (medium-term), ema26 (long-term), and ema21 (higher timeframe confirmation).
These EMAs help determine price trends and crossovers, which are critical for identifying buy and sell opportunities.
Trend Confirmation Using a Higher Timeframe:
The 21 EMA on the higher timeframe (e.g., daily) is used to confirm the overall direction of the market.
Defining Signal Conditions:
Buy Signal:
A buy signal is generated when:
ema5 crosses above ema13 (indicating a bullish trend).
ema5 crosses above ema26 (stronger bullish confirmation).
The closing price is above ema5, ema13, ema26, and the 21 EMA on the higher timeframe.
The market's volatility (ATR) is above the defined threshold.
The volume meets the conditions or volume filtering is disabled.
Sell Signal:
A sell signal is generated when:
ema5 crosses below ema13 (indicating a bearish trend).
ema5 crosses below ema26 (stronger bearish confirmation).
The closing price is below ema5, ema13, ema26, and the 21 EMA on the higher timeframe.
The market's volatility (ATR) is above the defined threshold.
The volume meets the conditions or volume filtering is disabled.
Volume Filtering:
Ensures there’s enough trading activity by comparing the current volume to a 20-period moving average of volume.
Persistent Variables:
These variables (crossed13 and crossed13Sell) help track whether the short-term EMA (ema5) has crossed the medium-term EMA (ema13). This prevents false or repeated signals.
Displaying Signals on the Chart:
Buy signals are displayed as green upward arrows below the price.
Sell signals are displayed as red downward arrows above the price.
How It Helps Traders:
This script provides visual cues for potential entry and exit points by combining moving average crossovers, volatility, volume, and higher timeframe trend confirmation. It works well for trending markets and ensures signals are filtered for stronger conditions to reduce noise.
Rosiz Support 1### Description of the Custom Indicator: MACD + CMF + MOM
This custom indicator combines three powerful technical analysis tools: **MACD (Moving Average Convergence Divergence)**, **CMF (Chaikin Money Flow)**, and **MOM (Momentum)**, to provide a comprehensive view of market trends, momentum, and money flow in a single pane. Here's what each component offers:
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#### 1. **MACD (Moving Average Convergence Divergence)**
The **MACD** is a trend-following momentum indicator that shows the relationship between two moving averages of an asset’s price.
- **Purpose**: Identifies trend direction and momentum strength.
- **Key Components**:
- **MACD Line**: Difference between the fast and slow exponential moving averages (EMA).
- **Signal Line**: A smoothed moving average of the MACD line, acting as a trigger for buy/sell signals.
- **Histogram**: The difference between the MACD line and the signal line. Positive values indicate bullish momentum, while negative values indicate bearish momentum.
- **Usage**: Look for crossovers (MACD crossing the signal line) to identify potential trend changes.
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#### 2. **CMF (Chaikin Money Flow)**
The **CMF** measures the volume-weighted average of accumulation and distribution over a specific period. It shows whether money is flowing into or out of an asset.
- **Purpose**: Detects buying or selling pressure based on price and volume.
- **Key Components**:
- **Positive CMF**: Indicates that the asset is being accumulated (buying pressure).
- **Negative CMF**: Indicates that the asset is being distributed (selling pressure).
- **Usage**: Values above 0 suggest bullish strength, while values below 0 suggest bearish strength.
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#### 3. **MOM (Momentum)**
The **Momentum Indicator** measures the rate of change of an asset's price over a specified period. It helps traders identify the speed of price movements.
- **Purpose**: Highlights the strength and direction of price momentum.
- **Key Components**:
- **Momentum Line**: Positive values indicate upward momentum, while negative values indicate downward momentum.
- **Usage**: A rising momentum line suggests strengthening price trends, while a falling line indicates weakening trends.
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### Benefits of Combining These Indicators:
1. **Trend Confirmation**: MACD provides a clear picture of trend direction and potential reversals.
2. **Volume-Based Insights**: CMF adds a layer of confirmation by analyzing money flow based on price and volume.
3. **Momentum Analysis**: MOM reveals the speed and strength of price movements, helping traders confirm breakouts or trend exhaustion.
4. **Enhanced Decision-Making**: The combination of these indicators allows traders to make more informed decisions by evaluating different aspects of market behavior in one pane.
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### How to Use:
- **Identify Trends**: Use MACD to identify overall trend direction and reversals.
- **Confirm Momentum**: Check MOM to validate the strength of the trend.
- **Gauge Buying/Selling Pressure**: Refer to CMF to confirm whether the price movement is backed by accumulation or distribution.
- **Entry/Exit Points**: Look for MACD crossovers, CMF shifts above/below zero, and momentum changes to refine entry and exit strategies.
This powerful tool integrates the strengths of three indicators, making it ideal for traders looking to analyze market conditions holistically and improve their timing and accuracy.
XAUMOvisionXAUMOvision: T he XAU/USD Composite Correlation Indicator with Weighted Spillover & Dynamic Lines
XAUMOvision is a custom-built trading indicator designed to track the intricate relationship between XAU/USD (Gold) and key economic factors: DXY (US Dollar Index), US Treasury Yields, S&P 500, and Crude Oil. By blending correlation metrics with weighted spillover effects, XAUMOvision offers actionable insights to refine your Gold trading strategy.
Core Features of XAUMOvision
1. Correlation (CC)
Definition: Measures how closely two assets move together over a given period.
Calculation: Pearson Correlation is used to assess Gold's relationship with:
DXY: Negative correlation—when DXY rises, Gold typically falls.
US Treasury Yields: Negative correlation—higher yields reduce Gold’s appeal.
S&P 500: Opposite movement, as Gold acts as a safe-haven.
Crude Oil: Positive correlation—both often rise during inflationary pressures.
2. Weighted Spillover
What It Does: Quantifies how movements in each asset (DXY, Yields, etc.) influence Gold.
Weighting: User-defined values (e.g., DXY weight = 0.4) scale each factor’s impact.
Result: A total spillover score reveals bullish or bearish sentiment for XAU/USD.
3. Composite Bias Line
Purpose: Consolidates spillover impacts into a single sentiment indicator.
Readings:
Strong Bullish: Composite Bias > 0.5.
Neutral: Close to 0.
Strong Bearish: Composite Bias < -0.5.
Output: A directional bias to guide your trading decisions.
4. Traffic Signal Line
Visual Cues:
Green: Strong Bullish Signal.
Red: Strong Bearish Signal.
Gray: Neutral—avoid trading.
Utility: A quick, color-coded overview of market conditions.
Using XAUMOvision Effectively
When to Use
During high volatility or major news events (e.g., CPI, interest rate decisions).
To understand macroeconomic forces driving Gold’s price action.
Recommended Timeframes
4-Hour: Ideal for swing traders seeking medium-term setups.
Daily: Perfect for macro trend analysis.
Weekly: Suitable for long-term investors aligning with broader trends.
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Practical Example
Monday, January 13, 2025 (Neutral Market)
Market Behavior: Gold stagnated (-0.96%), with low volume (681.13K).
Indicator Insights:
Composite Spillover: -0.92 (mild bearish pressure).
Traffic Signal Line: Gray—stay out of the market.
Bias Line: Weak Bearish (-1), signaling no strong trend.
Result: XAUMOvision kept traders from entering a choppy, low-volume market.
Wednesday, January 15, 2025 (CPI-Driven Rally)
CPI Release: Core CPI softer than expected (0.2% vs. 0.3%), weakening the DXY and Yields. Gold surged.
Indicator Insights:
Composite Spillover: +0.57 (strong bullish sentiment).
Traffic Signal Line: Green—clear buy signal.
Bias Line: Strong Bullish (+2), confirming the trend.
Result: Traders aligned with institutional flows and profited from the CPI-driven rally.
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Why XAUMOvision Stands Out
Avoids Bad Trades: Neutral signals and low-volume days keep you sidelined during indecisive markets.
Pinpoints Big Moves: Green signals during high-impact events help you capitalize on major trends.
Volume Validation: Confirms institutional activity to distinguish real trends from fakeouts.
Conclusion: Trade Like a Pro
XAUMOvision blends macroeconomic analysis with real-time technical indicators, ensuring you stay ahead of market moves. Whether navigating neutral markets or CPI-driven surges, this tool provides clarity and confidence in your trading decisions. For swing traders and macro enthusiasts, XAUMOvision is the ultimate weapon in Gold trading.
Smoothed Gaussian Trend Filter [AlgoAlpha]Experience seamless trend detection and market analysis with the Smoothed Gaussian Trend Filter by AlgoAlpha! This cutting-edge indicator combines advanced Gaussian filtering with linear regression smoothing to identify and enhance market trends, making it an essential tool for traders seeking precise and actionable signals.
Key Features :
🔍 Gaussian Trend Filtering: Utilizes a customizable Gaussian filter with adjustable length and pole settings for tailored smoothing and trend identification.
📊 Linear Regression Smoothing: Reduces noise and further refines the Gaussian output with user-defined smoothing length and offset, ensuring clarity in trend representation.
✨ Dynamic Visual Highlights: Highlights trends and signals based on volume intensity, allowing for real-time insights into market behavior.
📉 Choppy Market Detection: Identifies ranging or choppy markets, helping traders avoid false signals.
🔔 Custom Alerts: Set alerts for bullish and bearish signals, trend reversals, or choppy market conditions to stay on top of trading opportunities.
🎨 Color-Coded Visuals: Fully customizable colors for bullish and bearish signals, ensuring clear and intuitive chart analysis.
How to Use :
Add the Indicator: Add it to your favorites and apply it to your TradingView chart.
Interpret the Chart: Observe the trend line for directional changes and use the accompanying buy/sell signals for entry and exit opportunities. Choppy market conditions are flagged for additional caution.
Set Alerts: Enable alerts for trend signals or choppy market detections to act promptly without constant chart monitoring.
How It Works :
The Smoothed Gaussian Trend Filter uses a combination of advanced smoothing techniques to identify trends and enhance market clarity. First, a Gaussian filter is applied to price data, using a user-defined length (Gaussian length) and poles (smoothness level) to calculate an alpha value that determines the degree of smoothing. This creates a refined trend line that minimizes noise while preserving key market movements. The output is then further processed using linear regression smoothing, allowing traders to adjust the length and offset to flatten minor oscillations and emphasize the dominant trend. To incorporate market activity, volume intensity is analyzed through a normalized Hull Moving Average (HMA), dynamically adjusting the trend line's color transparency based on trading activity. The indicator also identifies trend direction by comparing the smoothed trend line with a calculated SuperTrend-style level, generating clear trend regimes and highlighting ranging or choppy conditions where trends are less reliable and avoiding false signals. This seamless integration of Gaussian smoothing, regression analysis, and volume dynamics provides traders with a powerful and intuitive tool for market analysis.
