Dynamic Supply and Demand Zones [AlgoAlpha]Introducing the Dynamic Supply and Demand Zones by AlgoAlpha. This indicator is designed to automatically identify and visualize dynamic supply and demand zones on your chart, helping traders pinpoint potential reversal areas and assess market sentiment with enhanced clarity. It adapts to market conditions using a dynamic look-back mechanism, making it more responsive to recent price movements. 📈💡
Key Features
📊 Dynamic Look-Back : Automatically adjusts the look-back period based on the most recent pivot point, ensuring the most relevant data is analyzed.
🎯 Pivot Point Detection : Utilizes a user-defined period to detect significant pivot highs and lows, marking potential reversal points with precision.
🛠 Customizable Parameters : Offers extensive customization options including look-back period, pivot detection sensitivity, resolution, and zone tolerance.
🗺 Visual Display : Shows supply and demand zones as boxes on the chart, with optional profiles and background highlighting to differentiate between bullish and bearish zones.
🖍 Color-Coded Zones : Zones are color-coded for easy identification: green for bullish, red for bearish, and gray for neutral levels.
🔔 Alert Conditions : Triggers alerts when new pivot points are detected, ensuring you never miss a key market movement.
How to Use
🚀 Adding the Indicator : Press the star icon and add the indicator to favorites. Add it to your chart and adjust settings to fit your trading strategy.
🔍 Zone Analysis : Observe the color-coded zones on the chart. Bullish zones indicate potential support areas, while bearish zones suggest resistance. Monitor price interactions with these zones for potential entry and exit signals.
🔔 Alerts : Activate alert conditions for new pivot detections to stay ahead of market reversals.
How It Works
The indicator starts by detecting pivot highs and lows over a specified period. These pivots serve as reference points for determining the analysis range. If the Dynamic Look-Back feature is enabled, the look-back range dynamically adjusts from the most recent pivot to the current bar. Otherwise, a fixed look-back period is used. The price range is divided into multiple bins based on a specified resolution, and each bin’s volume is calculated by accumulating the volume of candles that fall within its price range. A zone is defined as significant if its volume is less than the adjacent bins, and the difference meets the Zone Tolerance criteria, indicating a potential area of support or resistance. These zones are then plotted on the chart as boxes. Bullish zones are shown in green, and bearish zones in red, helping traders visually identify key levels where supply and demand imbalances may cause price reversals.
Indikator dan strategi
XAU/USD Strategy with Correct ADX and Bollinger Bands Fill1. *Indicators Used*:
- *Exponential Moving Averages (EMAs)*: Two EMAs (20-period and 50-period) are used to identify the trend direction and potential entry points based on crossovers.
- *Relative Strength Index (RSI)*: A momentum oscillator that measures the speed and change of price movements. It identifies overbought and oversold conditions.
- *Bollinger Bands*: These consist of a middle line (simple moving average) and two outer bands (standard deviations away from the middle). They help to identify price volatility and potential reversal points.
- *Average Directional Index (ADX)*: This indicator quantifies trend strength. It's derived from the Directional Movement Index (DMI) and helps confirm the presence of a strong trend.
- *Average True Range (ATR)*: Used to calculate position size based on volatility, ensuring that trades align with the trader's risk tolerance.
2. *Entry Conditions*:
- *Long Entry*:
- The 20 EMA crosses above the 50 EMA (indicating a potential bullish trend).
- The RSI is below the oversold level (30), suggesting the asset may be undervalued.
- The price is below the lower Bollinger Band, indicating potential price reversal.
- The ADX is above a specified threshold (25), confirming that there is sufficient trend strength.
- *Short Entry*:
- The 20 EMA crosses below the 50 EMA (indicating a potential bearish trend).
- The RSI is above the overbought level (70), suggesting the asset may be overvalued.
- The price is above the upper Bollinger Band, indicating potential price reversal.
- The ADX is above the specified threshold (25), confirming trend strength.
3. *Position Sizing*:
- The script calculates the position size dynamically based on the trader's risk per trade (expressed as a percentage of the total capital) and the ATR. This ensures that the trader does not risk more than the specified percentage on any single trade, adjusting the position size according to market volatility.
4. *Exit Conditions*:
- The strategy uses a trailing stop-loss mechanism to secure profits as the price moves in the trader's favor. The trailing stop is set at a percentage (1.5% by default) below the highest price reached since entry for long positions and above the lowest price for short positions.
- Additionally, if the RSI crosses back above the overbought level while in a long position or below the oversold level while in a short position, the position is closed to prevent losses.
5. *Alerts*:
- Alerts are set to notify the trader when a buy or sell condition is met based on the strategy's rules. This allows for timely execution of trades.
### Summary
This strategy aims to capture significant price movements in the XAU/USD market by combining trend-following (EMAs, ADX) and momentum indicators (RSI, Bollinger Bands). The dynamic position sizing based on ATR helps manage risk effectively. By implementing trailing stops and alert mechanisms, the strategy enhances the trader's ability to act quickly on opportunities while mitigating potential losses.
VR1 DEMA - Liquidity IdentifierThis custom Pine Script indicator, titled "VR1 DEMA - Liquidity Identifier", is designed to help traders identify periods of significant resistance to price movement, often indicating high liquidity areas where the market may encounter difficulty moving in one direction. The indicator analyzes the relationship between volume and price range, combined with bar volume conditions, to provide enhanced signals of potential liquidity buildup.
Key Features:
Customizable EMA Lengths:
Users can define the lengths of both the fast and slow Exponential Moving Averages (EMAs), with default values of 5 for the fast EMA and 13 for the slow EMA. These EMAs are calculated from the ratio of volume to price range, smoothing the data to detect trends in liquidity.
Dynamic Fast EMA Color:
The fast EMA changes color based on its relationship to the slow EMA:
Red when the fast EMA is above the slow EMA, signaling stronger resistance or greater liquidity.
White when the fast EMA is below the slow EMA, indicating potentially weaker resistance.
Liquidity Signal with Multiplier Condition:
The background of the chart changes to white when the volume-to-price ratio exceeds 1.5 times the fast EMA. This highlights potential areas of liquidity buildup where price movement may encounter stronger resistance. The 1.5 multiplier is adjustable, allowing for sensitivity customization.
Volume Condition for Enhanced Signals:
A new condition is added that requires the actual bar volume to exceed 1.2 times the 5-period EMA of average bar volume. This ensures that the background color only changes when there is not only increased liquidity but also significantly higher trading volume. The 1.2 multiplier is user-adjustable for further refinement.
Combined Liquidity and Volume Filtering:
Both conditions (volume-to-price ratio and actual volume) must be met for the background color to change. This double-filtering helps traders spot moments of unusual market activity more accurately.
Optional Volume/Price Range Visualization:
An optional plot of the volume-to-price ratio is included, providing a visual representation of how volume interacts with price movement in real-time. This can be enabled or disabled based on user preference.
User-Friendly Customization:
The script includes inputs for adjusting the fast and slow EMA lengths, as well as the multipliers for the volume-to-price ratio and actual volume conditions. These customizable parameters allow traders to tailor the indicator to their specific market strategies.
Use Case:
This indicator is particularly useful for identifying periods of high liquidity and resistance in the market, where price movement may stall or reverse. By combining volume-to-price ratio analysis with actual volume conditions, the indicator provides more reliable signals for detecting potential breakouts, reversals, or consolidation periods. The color-coded fast EMA and background shading make it easy to spot key moments of increased market activity and liquidity.
Dynamic Sentiment RSI [UAlgo]The Dynamic Sentiment RSI is a technical analysis tool that combines the classic RSI (Relative Strength Index) concept with dynamic sentiment analysis, offering traders enhanced insights into market conditions. Unlike the traditional RSI, this indicator integrates volume weighting, sentiment factors, and smoothing features to provide a more nuanced view of momentum and potential market reversals. It is designed to assist traders in detecting overbought/oversold conditions, momentum shifts, and to generate potential buy or sell signals using crossover and crossunder techniques. By dynamically adjusting based on sentiment and volume factors, this RSI offers better adaptability to varying market conditions, making it suitable for different trading styles and timeframes.
This tool is particularly helpful for traders who wish to explore not only price movement but also the underlying market sentiment, offering a more comprehensive approach to momentum analysis. The sentiment factor amplifies the RSI's sensitivity to price shifts, making it easier to detect early signals of market reversals or the continuation of a trend.
🔶 Key Features
Dynamic Sentiment Calculation: The indicator incorporates a "Sentiment Factor" that adjusts the RSI length dynamically based on a multiplier, helping traders better understand market sentiment at different time intervals.
Volume Weighting: When enabled, the RSI calculations are weighted by volume, allowing traders to give more importance to price movements with higher trading volume, which may provide more accurate signals.
Smoothing Feature: A customizable smoothing period is applied to the RSI to help filter out noise and make the signal smoother. This feature is particularly useful for traders who prefer to focus on long-term trends while minimizing false signals.
Step Size Customization: A "Step Size" input allows users to round the sentiment RSI to predefined intervals, making the results easier to interpret and act upon. This feature allows you to focus on significant sentiment changes and ignore minor fluctuations.
Crossover/Crossunder Alerts: The indicator includes crossover and crossunder signals on the zero-line, helping traders identify potential buy and sell opportunities as the smoothed RSI crosses these levels.
The indicator offers a clear visual display with multiple color-coded lines and areas:
Sentiment RSI: Plotted as an area chart, color-coded based on sentiment strength.
Raw RSI: A purple line representing the raw adjusted RSI.
Smoothed RSI: A dynamic line, color-coded aqua or orange based on its position relative to the zero line.
Buy/Sell Signals: Triangle shapes are plotted at crossovers and crossunders, providing clear entry and exit points.
🔶 Interpreting the Indicator
Sentiment RSI
-This line represents the sentiment-adjusted RSI, where the higher the value, the stronger the bullish sentiment, and the lower the value, the stronger the bearish sentiment. It is rounded to step intervals, making it easier to detect significant shifts in sentiment.
- A positive sentiment RSI (above 0) suggests bullish market conditions, while a negative sentiment RSI (below 0) suggests bearish conditions.
Smoothed RSI
The smoothed RSI helps reduce noise and shows the trend more clearly.
Crossovers of the zero line are significant:
- Crossover above zero: Indicates that bullish momentum is building, potentially signaling a buying opportunity.
- Crossunder below zero: Signals a shift towards bearish momentum, potentially indicating a sell signal.
Traders should look for these crossovers in conjunction with other signals for more accurate entry/exit points.
Raw RSI (Adjusted)
The raw adjusted RSI offers a less smoothed, more responsive version of the RSI. While it may be noisier, it provides early signals of market reversals and trends.
Crossover/Crossunder Signals
- When the smoothed RSI crosses above the zero line, a "Signal Up" triangle appears, indicating a potential buying opportunity.
- When the smoothed RSI crosses below the zero line, a "Signal Down" triangle appears, signaling a potential sell opportunity.
These signals help traders time their entries and exits by identifying momentum shifts.
Volume Weighting (Optional)
- If volume weighting is enabled, the RSI will give more weight to periods of higher trading volume, making the signals more reliable when the market is highly active.
Strong Up/Down Levels (40/-40)
- These dotted lines represent extreme sentiment levels. When the sentiment RSI reaches 40 or -40, the market may be nearing an overbought or oversold condition, respectively. This could be a signal for traders to prepare for potential reversals or shifts in momentum.
By combining the various components of this indicator, traders can gain a comprehensive view of market sentiment and price action, helping them make more informed trading decisions. The combination of sentiment factors, volume weighting, and smoothing makes this indicator highly flexible and suitable for a variety of trading strategies.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Options Series - Ichimoku Cloud and HalfTrend
The provided script combines two powerful technical indicators, Ichimoku Cloud and HalfTrend, to create a hybrid trading tool. Here's an analysis of the key components and how they work together:
Ichimoku Cloud and HalfTrend
⭐ 1. Indicator Title and Settings:
The script sets the title as "Options Series - Ichimoku Cloud and HalfTrend" and uses the overlay=true option to display the indicators directly on the price chart.
⭐ 2. Color Definitions:
Several colors are defined for later use:
Green and Red for different types of candles and signals.
Fluorescent Colors for highlighting significant trends or changes in market conditions.
⭐ 3. Ichimoku Cloud Setup:
The Ichimoku Cloud is a comprehensive indicator used to identify support, resistance, and trend direction. Here’s how the script configures it:
Conversion Periods, Base Periods, Lagging Span 2 Periods, and Displacement are customizable via input options, giving flexibility to adjust Ichimoku settings based on different market conditions.
The function donchian(len) calculates the Donchian Channel average, which is used to define the Conversion Line and Base Line. The crossover of these lines is crucial in determining bullish or bearish trends.
Color Logic for Kijun Cross: If the Conversion Line is above the Base Line, the trend is bullish (green color), while a bearish trend is indicated by red. A neutral condition is marked with orange.
⭐ 4. HalfTrend Indicator Setup:
The HalfTrend indicator detects trend reversals based on high/low price deviations from a moving average:
Amplitude and Channel Deviation inputs allow users to control the sensitivity of the indicator.
showArrows and showChannels toggle the display of buy/sell arrows and trend channels.
maxLowPrice and minHighPrice variables are initialized to track significant high/low points during the trend, used to confirm trend reversals.
⭐ 5. ATR and Trend Calculations:
The Average True Range (ATR) is used to calculate the volatility-based channels. The script calculates atr2 and uses this to create atrHigh and atrLow for plotting the channel.
The trend detection logic is as follows:
When the trend is upward, the script seeks confirmation by comparing the high moving average with previous lows, signaling a continuation of the uptrend if it holds.
Conversely, a downtrend is confirmed when the low moving average exceeds previous highs.
⭐ 6. Customized Candle Coloring:
A custom color scheme is applied to candles based on a combination of trend direction and Ichimoku Cloud signals:
GreenFluorescent for strong bullish conditions where price is above the HalfTrend line, and the Conversion Line is above the Base Line.
RedFluorescent for strong bearish conditions, with price below the HalfTrend line and Conversion Line below the Base Line.
Gray for neutral or indecisive conditions.
⭐ 7. Plots and Shapes:
The script plots various elements:
HalfTrend Line: The main trendline is plotted in either green (buy) or red (sell), with adjustable line width.
Ichimoku Base Line: This is plotted with the dynamic color based on crossovers.
Buy/Sell Arrows: These are drawn on the chart when valid buy/sell conditions are met.
Custom Candles: The script overrides default chart candles with custom-colored candles based on the previously discussed logic.
⭐ 8. Improvements:
Optimization: Parameters like the amplitude, channel deviation, and Ichimoku periods can be fine-tuned based on backtesting results to maximize performance for specific assets or timeframes.
Alerts: The script could be enhanced by adding alert conditions for real-time buy/sell notifications, leveraging alertcondition() in Pine Script.
In summary, this script merges two trend-following techniques for a multi-faceted view of the market, using visual cues and trendline logic to provide a robust trading tool.
🚀 Conclusion:
Trend-Following System: The combination of Ichimoku Cloud and HalfTrend provides a comprehensive view of both long-term trends (via Ichimoku) and shorter-term reversals (via HalfTrend).
Visual Signals: The script includes clear visual signals (arrows and custom-colored candles) to help traders quickly spot buy/sell opportunities.
Dynamic Customization: Through user inputs, this indicator can be tailored to different market conditions, making it versatile.
GBP Index vs CAD Index Currency OscillatorGBP vs CAD Currency Oscillator
This custom oscillator compares the relative strength of GBP (British Pound) and CAD (Canadian Dollar) against a basket of other currencies to determine potential overbought and oversold conditions. The indicator is designed to help traders evaluate momentum shifts and identify possible trend reversals between these two currencies, not just the GBPCAD pair.
How it Works:
Currency Index Calculation:
The oscillator calculates the average percentage change in 7 key GBP pairs (GBPUSD, EURGBP, GBPJPY, GBPAUD, GBPNZD, GBPCAD, and GBPCHF).
Similarly, it calculates the average percentage change for 7 key CAD pairs (USDCAD, EURCAD, CADJPY, AUDCAD, NZDCAD, GBPCAD, and CADCHF).
Stochastic Oscillator:
The indicator calculates a 0-100 oscillator for both the GBP and CAD currency indices based on the highest high and lowest low over a user-defined lookback period (default is 14 anlthough 60 works great on 1m chart).
The oscillator is smoothed using a simple moving average (default smoothing period is 3) to reduce noise and improve visual clarity.
Overbought/Oversold Conditions:
Overbought: When both the GBP and CAD oscillators exceed 80, the background turns red, indicating potential overbought conditions.
Oversold: When both oscillators fall below 20, the background turns green, signaling possible oversold conditions.
Crossovers:
When the GBP oscillator crosses above the CAD oscillator, a green dot appears at the bottom of the chart, signaling potential GBP strength.
When the GBP oscillator crosses below the CAD oscillator, a red dot appears, signaling potential CAD strength.
How to Use:
Overbought/Oversold Conditions: Use the red and green background highlights to spot potential overbought or oversold market conditions, helping you identify possible turning points.
Customization Options:
Lookback Period: You can adjust the lookback period for the stochastic calculation, allowing for sensitivity tuning (default: 14).
Smoothing Period: Control the degree of smoothing applied to the oscillators (default: 3).
This oscillator is ideal for traders focused on trading GBP and CAD pairs, offering a comparative analysis that can assist in better decision-making based on relative currency strength.
Volatility Breaker Blocks [BigBeluga]The Volatility Breaker Blocks indicator identifies key market levels based on significant volatility at pivot highs and lows. It plots blocks that act as potential support and resistance zones, marked in green (support) and blue (resistance). Even after a breakout, these blocks leave behind shadow boxes that continue to impact price action. The sensitivity of block detection can be adjusted in the settings, allowing traders to customize the identification of volatility breakouts. The blocks print triangle labels (up or down) after breakouts, indicating potential areas of interest.
🔵 IDEA
The Volatility Breaker Blocks indicator is designed to highlight key areas in the market where volatility has created significant price action. These blocks, created at pivot highs and lows with increased volatility, act as potential support and resistance levels.
The idea is that even after price breaks through these blocks, the remaining shadow boxes continue to influence price movements. By focusing on volatility-driven pivot points, traders can better anticipate how price may react when it revisits these areas. The indicator also captures the natural tendency for price to retest broken resistance or support levels.
🔵 KEY FEATURES & USAGE
◉ High Volatility Breaker Blocks:
The indicator identifies areas of high volatility at pivot highs and lows, plotting blocks that represent these zones. Green blocks represent support zones (identified at pivot lows), while blue blocks represent resistance zones (identified at pivot highs).
Support:
Resistance:
◉ Shadow Blocks after Breakouts:
When price breaks through a block, the block doesn't disappear. Instead, it leaves behind a shadow box, which can still influence future price action. These shadow blocks act as secondary support or resistance levels.
If the price crosses these shadow blocks, the block stops extending, and the right edge of the box is fixed at the point where the price crosses it. This feature helps traders monitor important price levels even after the initial breakout has occurred.
◉ Triangle Labels for Breakouts:
After the price breaks through a volatility block, the indicator prints triangle labels (up or down) at the breakout points.
◉ Support and Resistance Retests:
One of the key concepts in this indicator is the retesting of broken blocks. After breaking a resistance block, price often returns to the shadow box, which then acts as support. Similarly, after breaking a support block, price tends to return to the shadow box, which becomes a resistance level. This concept of price retesting and bouncing off these levels is essential for understanding how the indicator can be used to identify potential entries and exits.
The natural tendency of price to retest broken resistance or support levels.
Additionaly indicator can display retest signals of broken support or resistance
◉ Customizable Sensitivity:
The sensitivity of volatility detection can be adjusted in the settings. A higher sensitivity captures fewer but more significant breakouts, while a lower sensitivity captures more frequent volatility breakouts. This flexibility allows traders to adapt the indicator to different trading styles and market conditions.
🔵 CUSTOMIZATION
Calculation Window: Defines the window of bars over which the breaker blocks are calculated. A larger window will capture longer-term levels, while a smaller window focuses on more recent volatility areas.
Volatility Sensitivity: Adjusts the threshold for volatility detection. Lower sensitivity captures smaller breakouts, while higher sensitivity focuses on larger, more significant moves.
Retest Signals: Display or hide retest signals of shadow boxes
Advanced MA Difference (and more)This Pine Script indicator calculates the difference between the price and a main moving average (SMA or EMA), allowing you to track deviations in either absolute or relative (percentage) terms. It offers several features to help visualize and smooth this difference:
- Main MA Difference: Shows the price deviation from the moving average, either as an absolute dollar amount or as a percentage.
- Fast and Slow Moving Averages: Optionally smooths the difference using fast and slow moving averages, giving insights into short-term and long-term trends in price deviations.
- Difference Between Fast and Slow MAs : Highlights the gap between these MAs, helping to identify momentum shifts.
- Customizable Visuals: Offers flexibility in displaying the difference and moving averages using lines or histograms, and includes a zero line for reference.
When to Use It:
- Use the absolute difference for tracking raw price deviations if you’re focused on concrete moves in the asset’s price.
- Use the relative difference for normalized, percentage-based deviations, especially useful when comparing different assets or time frames.
This indicator is suitable for traders looking to spot trends, price deviations, or momentum shifts relative to a moving average. Its flexibility makes it a good fit for both short-term and long-term analysis.
New York Midnight Indicator█ OVERVIEW
This script provides a visual tool for traders to track the New York Midnight (NY Midnight), a significant time marker for those who rely on New York’s financial markets. The script calculates the exact moment of midnight in New York and places a vertical line on the chart at this time, helping traders identify when a new trading day begins according to the New York time zone. The indicator also marks the midnight point with a lime-colored downward triangle to enhance visibility on the chart. It is specifically useful for traders who want to synchronize their strategies with New York’s trading hours, especially in global markets.
The script is flexible, allowing traders to adjust the UTC offset to accommodate different time zones. This is critical for those trading in different regions but still using New York as the main time reference.
█ CONCEPTS
New York Midnight: For many traders, especially those following the Forex and US stock markets, midnight in New York signifies the start of a new trading day. This point is essential for technical analysis as it often aligns with daily opening ranges, trend shifts, and volume spikes.
UTC Offset: The script includes a user-input parameter (utcOffset) to adjust the calculated time for New York midnight, ensuring that it accounts for time zone differences. This allows it to be used effectively regardless of the user’s local time zone, offering flexibility to global traders.
█ METHODOLOGY
UTC Offset Adjustment: The script starts by asking the trader to input their UTC offset (e.g., UTC -5 for New York without daylight saving time). This offset is added to the current chart time to align it with New York’s local time.
Current Hour Calculation: Once the UTC offset is applied, the script calculates the New York Hour by taking the chart’s current hour and adjusting it with the offset. This ensures that the displayed hour matches New York’s local time, regardless of the trader's location.
Vertical Line at Midnight: When the current New York hour equals 00:00 (midnight), the script plots a black vertical line on the chart. This line serves as a visual reference for the exact moment when New York's trading day begins, allowing traders to align their strategies accordingly.
Downward Triangle Plot: In addition to the vertical line, the script also adds a lime-colored downward triangle at the same bar location to further highlight the midnight point. This is useful for traders who prefer shape markers to visualize significant time events.
█ HOW TO USE
Identifying Daily Resets: The script makes it easy for traders to track when New York’s trading day resets. This is especially useful in Forex markets, where daily cycles and time zone-based volatility play an important role in price movement and volume spikes.
Time Zone Flexibility: By adjusting the UTC offset parameter, traders across the globe can synchronize their charts with New York time. This is critical for international traders who want to execute trades based on New York market patterns but reside in different time zones.
Strategic Time Marking: The vertical line and shape markers at midnight allow traders to quickly see when a new trading day starts, helping them identify patterns like the daily range, key support/resistance levels, or even potential reversals around this time.
Session-Based Analysis: Traders who work with session-based strategies (e.g., trading the Asian, European, or US sessions) can use this marker to better time their entries or exits relative to the start of the New York session.
█ METHOD VARIANTS
This script can be modified or extended in various ways to better suit specific trading strategies:
Highlighting Other Session Starts: It could be adapted to plot lines for other key session starts (e.g., London open, Tokyo open).
Multiple Time Zones: For traders who monitor several markets, the script could be extended to display midnight markers for multiple time zones.
Custom Line Styles: Users could modify the line color, thickness, or style to better match their chart aesthetic or preferences.
Price vs 200 EMA IndicatorPurpose :
The Price vs. 200 MA (EMA) Indicator measures the deviation of the current price from its 200-period Exponential Moving Average (EMA). Instead of merely plotting the raw difference, the indicator calculates a standardized difference (similar to a z-score), which quantifies the deviation in terms of standard deviations over time. This helps traders understand how extreme the price is relative to its long-term average and its typical volatility.
Use Cases :
Trend Analysis:
Traders can use the standardized difference to assess how extreme the current price is relative to its long-term trend (200 EMA) while normalizing for volatility.
When the z-score approaches extreme levels (e.g., above 2 or below -2), it may indicate that the asset is overextended in either direction.
Mean Reversion Strategy:
Since the indicator identifies when the price deviates far from the 200 EMA (in terms of standard deviations), traders can use it to time mean-reversion trades, buying when the price is below -2 (oversold) and selling when it’s above +2 (overbought).
Trend Continuation or Exhaustion:
If the price continues to stay above +2 for extended periods, it could indicate a strong trend, whereas a reversion toward the EMA after reaching +2 or -2 could signal trend exhaustion or reversal.
Summary :
The Price vs. 200 MA (EMA) Indicator calculates the standardized difference (z-score) between the price and its 200-period EMA, giving traders a normalized measure of how far the price is from its long-term average, relative to typical price volatility. The color-coded plot provides a clear visual representation of potential overbought/oversold conditions and highlights when the price has deviated significantly from the 200 EMA in either direction.
Flat Market Range Pro [CHE]Flat Market Range Pro Indicator
Introduction
Hey there! 👋
Welcome to our overview of the Flat Market Range Pro indicator. Whether you're new to trading or a seasoned pro, this tool is designed to help you spot those flat market conditions where prices are chilling within a certain range. By highlighting these consolidation zones and potential breakout points, it offers some pretty neat insights to boost your trading strategies. Let’s dive in and explore how this indicator can make your trading journey smoother and more informed!
How It Works
The Flat Market Range Pro indicator is all about understanding the ebb and flow of the market. Here's a simple breakdown:
Range Detection:
Range Period (range_period): This sets the number of bars (think of them as time slices) the indicator looks back to find the highest highs and lowest lows. It’s like setting the scope for your search.
Minimum Candles in Range (min_candles_in_range): Ensures that there are enough candles (price bars) within the range to make the detection meaningful. No point in highlighting a range if it’s too short, right?
Adaptive Moving Average (AMA):
Think of AMA as the indicator’s way of staying flexible. It smooths out the price data to better spot trends within those flat ranges. Don’t worry, it’s working behind the scenes and won’t clutter your chart.
Breakout Detection:
When the price decides to break free from its cozy range, the indicator flags it. It waits for confirmation to make sure it’s not just a fleeting move, adding a layer of reliability to your signals.
Visualization:
Flat Market Zones: These are shaded areas that highlight where the price has been consolidating.
Support and Resistance Lines: Automatically drawn lines that mark key price levels, helping you see where the price might bounce or break through.
Trade Signals: Arrows popping up to show potential buy or sell opportunities when breakouts occur.
Breaking It Down
1. Detecting the Range
The indicator scans through the past range_period bars to find the highest and lowest prices. This creates a dynamic range that adjusts as new data comes in. It’s like having a smart assistant keeping an eye on where the action is happening.
2. The Role of AMA
Even though you won’t see AMA on your chart, it plays a crucial role. It helps the indicator adapt to changing market conditions by smoothing out the data, making sure the breakout signals are spot-on and not just random noise.
3. Spotting Breakouts
A breakout happens when the price moves beyond the established range. The indicator marks these moments with clear arrows, so you know when it might be a good time to jump in or out of a trade. Plus, it waits for confirmation to ensure these signals are solid.
4. Visualizing Flat Markets
Shaded boxes highlight the areas where the price has been consolidating, making it easy to see when the market is flat. Support and resistance lines are drawn automatically, and you can even customize how they look to match your personal style.
Customize It Your Way
One of the best things about the Flat Market Range Pro indicator is how customizable it is. Here’s what you can tweak:
Range Settings:
Adjust the range_period to fit different timeframes.
Set the min_candles_in_range to ensure the ranges you see are meaningful.
Moving Average Settings:
Change the ma_length and ma_lookback to fine-tune how the AMA responds to price movements.
Visual Tweaks:
Pick your favorite colors and transparency levels for the shaded zones.
Choose whether to display support and resistance lines and extend them indefinitely if you like.
Toggle trade arrows and labels on or off based on what you find most helpful.
Organizing these settings into logical groups makes it super easy to customize the indicator just the way you like it.
Real-World Examples
1. Spotting Consolidation: Imagine you’re watching a stock that’s been moving sideways for a while. The indicator highlights this consolidation with shaded boxes and support/resistance lines, giving you a clear picture of where the price is hanging out.
2. Trading Breakouts: When the price finally decides to break free from the range, the indicator pops up buy or sell arrows. This helps you catch the move early, whether you’re looking to enter a new trade or exit an existing one.
3. Making Informed Decisions: With clear visual cues and reliable signals, you can make smarter trading decisions without getting overwhelmed by too much information.
Behind the Scenes: Technical Insights
For those curious about the nuts and bolts, here’s a peek into how the Flat Market Range Pro indicator is built:
Efficient Range Calculation:
Uses loops to scan through the specified range_period, ensuring accurate detection of high and low points.
Adaptive Logic with AMA:
Incorporates the Simple Moving Average (SMA) to create a threshold coefficient, making the indicator responsive to market changes.
Clear Visualization:
Utilizes box.new and label.new for intuitive visual representations of flat markets.
Employs plotshape and plot to display breakout signals clearly on your chart.
Optimized Performance:
Avoids plotting unnecessary elements like AMA, keeping your chart clean and focused on what matters.
Why You’ll Love It
The Flat Market Range Pro indicator brings a lot to the table:
Accurate Range Detection:
Pinpoints consolidation zones by analyzing historical highs and lows.
Flexible and Adaptive:
AMA ensures the indicator stays responsive to different market conditions.
User-Friendly Visuals:
Shaded zones, support/resistance lines, and clear trade signals make your chart easy to understand at a glance.
Highly Customizable:
Tailor the settings to match your trading style and preferences.
Reliable Signals:
Confirmation mechanisms help reduce false signals, giving you more confidence in your trades.
Wrapping It Up
The Flat Market Range Pro indicator is a fantastic tool for anyone looking to navigate flat or consolidating markets with ease. By combining precise range detection, adaptive logic, and clear visual cues, it helps you identify consolidation phases and seize breakout opportunities effectively. Its customizable features ensure that it fits seamlessly into your trading strategy, whether you’re just starting out or have years of experience under your belt.
For more details, a step-by-step guide on using the indicator, and access to the full Pine Script code, check out the accompanying documentation or reach out for support. Happy trading! 🌟
Questions and Further Information
Got questions or need a hand with the Flat Market Range Pro indicator? Feel free to reach out! Whether you’re curious about how it works or need tips on customizing it for your trading style, we’re here to help. Also, give the indicator a try on different charts to see how it performs in various market conditions. Let’s make your trading experience better together!
Best regards
Chervolino
This script was inspired by: Trend Regularity Adaptive Moving Average
and
Range Detection by HasanRifat
RSI with Swing Trade by Kelvin_VAlgorithm Description: "RSI with Swing Trade by Kelvin_V"
1. Introduction:
This algorithm uses the RSI (Relative Strength Index) and optional Moving Averages (MA) to detect potential uptrends and downtrends in the market. The key feature of this script is that it visually changes the candle colors based on the market conditions, making it easier for users to identify potential trend swings or wave patterns.
The strategy offers flexibility by allowing users to enable or disable the MA condition. When the MA condition is enabled, the strategy will confirm trends using two moving averages. When disabled, the strategy will only use RSI to detect potential market swings.
2. Key Features of the Algorithm:
RSI (Relative Strength Index):
The RSI is used to identify potential market turning points based on overbought and oversold conditions.
When the RSI exceeds a predefined upper threshold (e.g., 60), it suggests a potential uptrend.
When the RSI drops below a lower threshold (e.g., 40), it suggests a potential downtrend.
Moving Averages (MA) - Optional:
Two Moving Averages (Short MA and Long MA) are used to confirm trends.
If the Short MA crosses above the Long MA, it indicates an uptrend.
If the Short MA crosses below the Long MA, it indicates a downtrend.
Users have the option to enable or disable this MA condition.
Visual Candle Coloring:
Green candles represent a potential uptrend, indicating a bullish move based on RSI (and MA if enabled).
Red candles represent a potential downtrend, indicating a bearish move based on RSI (and MA if enabled).
3. How the Algorithm Works:
RSI Levels:
The user can set RSI upper and lower bands to represent potential overbought and oversold levels. For example:
RSI > 60: Indicates a potential uptrend (bullish move).
RSI < 40: Indicates a potential downtrend (bearish move).
Optional MA Condition:
The algorithm also allows the user to apply the MA condition to further confirm the trend:
Short MA > Long MA: Confirms an uptrend, reinforcing a bullish signal.
Short MA < Long MA: Confirms a downtrend, reinforcing a bearish signal.
This condition can be disabled, allowing the user to focus solely on RSI signals if desired.
Swing Trade Logic:
Uptrend: If the RSI exceeds the upper threshold (e.g., 60) and (optionally) the Short MA is above the Long MA, the candles will turn green to signal a potential uptrend.
Downtrend: If the RSI falls below the lower threshold (e.g., 40) and (optionally) the Short MA is below the Long MA, the candles will turn red to signal a potential downtrend.
Visual Representation:
The candle colors change dynamically based on the RSI values and moving average conditions, making it easier for traders to visually identify potential trend swings or wave patterns without relying on complex chart analysis.
4. User Customization:
The algorithm provides multiple customization options:
RSI Length: Users can adjust the period for RSI calculation (default is 4).
RSI Upper Band (Potential Uptrend): Users can customize the upper RSI level (default is 60) to indicate a potential bullish move.
RSI Lower Band (Potential Downtrend): Users can customize the lower RSI level (default is 40) to indicate a potential bearish move.
MA Type: Users can choose between SMA (Simple Moving Average) and EMA (Exponential Moving Average) for moving average calculations.
Enable/Disable MA Condition: Users can toggle the MA condition on or off, depending on whether they want to add moving averages to the trend confirmation process.
5. Benefits of the Algorithm:
Easy Identification of Trends: By changing candle colors based on RSI and MA conditions, the algorithm makes it easy for users to visually detect potential trend reversals and trend swings.
Flexible Conditions: The user has full control over the RSI and MA settings, allowing them to adapt the strategy to different market conditions and timeframes.
Clear Visualization: With the candle color changes, users can quickly recognize when a potential uptrend or downtrend is forming, enabling faster decision-making in their trading.
6. Example Usage:
Day traders: Can apply this strategy on short timeframes such as 5 minutes or 15 minutes to detect quick trends or reversals.
Swing traders: Can use this strategy on longer timeframes like 1 hour or 4 hours to identify and follow larger market swings.
Distance From moving averageDistance From Moving Average is designed to help traders visualize the deviation of the current price from a specified moving average. Users can select from four different types of moving averages: Simple Moving Average (SMA), Exponential Moving Average (EMA), Weighted Moving Average (WMA), and Hull Moving Average (HMA).
Key Features:
User-Friendly Input Options:
Choose the type of moving average from a dropdown menu.
Set the length of the moving average, with a default value of 200.
Custom Moving Average Calculations:
The script computes the selected moving average using the appropriate mathematical formula, allowing for versatile analysis based on individual trading strategies.
Distance Calculation:
The indicator calculates the distance between the current price and the chosen moving average, providing insight into market momentum. A positive value indicates that the price is above the moving average, while a negative value shows it is below.
Visual Representation:
The distance is plotted on the chart, with color coding:
Lime: Indicates that the price is above the moving average (bullish sentiment).
Red: Indicates that the price is below the moving average (bearish sentiment).
Customization:
Users can further customize the appearance of the plotted line, enhancing clarity and visibility on the chart.
This indicator is particularly useful for traders looking to gauge market conditions and make informed decisions based on the relationship between current prices and key moving averages.
Multi-Setting Moving AverageThis indicator is a TradingView tool that allows you to set the calculation periods for moving averages according to different time frames.
Unlike standard moving average indicators, which require manual adjustments when changing time frames, this indicator is designed to automatically reflect the settings for each time frame, eliminating the hassle of changing settings.
このインジケーターは、異なる時間枠に応じた移動平均線の計算期間を設定できるトレーディングビューのツールです。
一般の移動平均線のインジケーターは時間枠の変更に伴って手動で設定を調整する必要がありますが、このインジケーターは時間枠ごとの設定が自動で反映されるように工夫されているため、設定変更の手間が省けます。
LiquidityFlow Dominance+Alerts (btc.d, T3, Stables)LiquidityFlow Dominance+Alerts: Overview & Usage Guide
Overview
The LiquidityFlow Dominance+Alerts indicator provides a dynamic view of liquidity flow across Bitcoin, Altcoins, and Stablecoins, helping track liquidity shifts and identify market sentiment. By integrating moving averages, custom alerts, and thresholds for extreme outliers, this indicator helps to anticipate bullish and bearish shifts in liquidity and alert market tops and bottoms.
Key features include:
1. Liquidity Flow Monitoring : Track liquidity flow across Bitcoin (BTC), Altcoins (TOTAL3), and Stablecoins (USDT, USDC, DAI).
2. Custom Alerts : Set alerts for key liquidity shifts and extreme conditions in Stablecoin dominance, both with static and moving average (MA)-based calculations.
3. Moving Averages : Use Simple, Exponential, or Weighted Moving Averages to smooth out market data for more reliable signals.
4. Outlier Detection : Identify potential tops and bottoms using thresholds for Stablecoin dominance, with alerts for extreme movements.
Functionality
Data Inputs and Key Metrics
- Symbols Monitored:
- Bitcoin Dominance (BTC.D)
- Altcoin Market Cap (TOTAL3)
- Stablecoins (USDT.D, USDC.D, DAI.D)
- Liquidity Flow Conditions:
- Track percentage changes in dominance across sectors to detect liquidity flow into Bitcoin, Altcoins, or Stablecoins.
- Custom Metrics:
- Liquidity Flow Index: BTC Dominance minus Stablecoin Dominance.
- Liquidity Flow Ratio: BTC Dominance divided by the combined dominance of Stablecoins and Altcoins.
Moving Average Integration
- Select from SMA, EMA, or WMA to apply moving averages to the dominance metrics. Moving averages help smooth out short-term volatility and provide more consistent signals.
- Moving averages are applied to each sector (BTC, Altcoins, and Stablecoins) and compared to their previous period values to determine shifts in liquidity.
Alerts and Thresholds
- % Change Lookback Period: Adjust the lookback period to align with the timeframe of your chart. Shorter timeframes may require a lower lookback period, while higher timeframes may benefit from longer periods.
- Stables Bull/Bear % for Alerts: Set a threshold for when Stablecoin dominance becomes a bullish or bearish signal relative to BTC and Altcoins. A higher threshold may be used in volatile markets to filter out noise.
- Extreme Outliers Detection: Use the **Stables Up/Down Extreme Threshold** to identify potential market tops or bottoms when Stablecoin dominance deviates significantly from historical trends. The **Extreme Lookback Period** controls the time window for detecting these anomalies.
How to Use the Indicator
Adjusting the % Change Lookback Period
- The `% Change Lookback Period` should be adjusted based on your chart’s timeframe. For example, a shorter period (e.g., 7) works well for intraday charts, while longer periods (e.g., 14) might be more suitable for daily or weekly charts.
Setting Thresholds for Alerts
- Stables Bull/Bear % for Alerts: Adjust this setting to define when Stablecoin dominance triggers bullish or bearish alerts. A value like 1% could be a good starting point for most market conditions but can be fine-tuned based on volatility.
- Extreme Lookback Period: Define the lookback period for detecting extreme moves in Stablecoin dominance. This will help identify major tops and bottoms in the market. For shorter-term trades, consider using a shorter extreme lookback (e.g., 7-10 periods).
Alerts for Liquidity Shifts
- The indicator supports alerts for key liquidity shifts, which are useful for staying ahead of market movements. Alerts can be set to notify you when liquidity moves into:
- Bitcoin: Indicating a potential bullish trend for Bitcoin.
- Altcoins: Signaling altcoins are bullish.
- Stablecoins: Suggesting a risk-off environment or market correction.
Extreme Alerts for Stables
- Extreme Up/Down Alerts: These are triggered when Stablecoin dominance crosses extreme thresholds. For example, if Stablecoin dominance rises more than 14% over a set period, it could signal a market top, while a significant drop could indicate a market bottom.
Moving Average Calculations
- In addition to static percentage changes, moving averages can be applied to smooth out dominance values. The type and length of the moving average can be customized:
- SMA (Simple Moving Average): Best for smoothing out volatility in a linear way.
- EMA (Exponential Moving Average): More responsive to recent data, making it useful in faster markets.
- WMA (Weighted Moving Average): Emphasizes more recent data, but less reactive than the EMA.
Additional Usage Tips:
- Background Colors: The indicator visually highlights the dominant liquidity flow:
- Orange: Liquidity is shifting toward Bitcoin.
- Aqua: Liquidity is flowing into Altcoins.
- Red: Liquidity is moving into Stablecoins.
Auto Anchored Swing VWAP'sThe Auto Anchored Swing VWAP's indicator automatically anchors Volume-Weighted Average Price (VWAP) lines to recent swing highs and swing lows. VWAPs often act as key support or resistance levels because they represent the average price at which the majority of trading volume has occurred over a given time.
What is VWAP? VWAP is an essential tool in trading, representing the average price of a security over a specific period, weighted by volume. It helps traders identify the average price at which most trades have been executed, providing a balanced view of price action over time.
Anchored VWAPs: Unlike traditional VWAPs, which start from the beginning of the day, anchored VWAPs allow traders to "anchor" the calculation to a specific point in time or a pivot on the chart, in this case a swing high and swing low. This version of VWAP follows the price action from a selected point forward.
When the price is above the VWAP, it indicates that the majority of traders have paid less for the asset, creating a potential support zone as buyers may step in at or near this level. On the other hand, when the price is below the VWAP, it suggests that most traders have paid a higher price, which can lead to a resistance level where sellers may appear to defend their positions.
Anchored VWAPs, in particular, provide more precise support and resistance levels by starting from a specific swing high, swing low, or other significant point on the chart. This allows traders to track how price interacts with these levels after a certain bar.
The selectable pivot lookback length in this indicator defines the number of bars to the left and right of a potential swing high or swing low that must be lower (for a swing high) or higher (for a swing low) in order to confirm the pivot. In other words, it controls how many surrounding bars need to validate a local price extreme before it is considered a true swing point.
For example, if the lookback length is set to 9, a swing high is identified when there are 9 bars to the left and 9 bars to the right that all have lower highs than the current bar. The same logic applies for swing lows, where the price must be lower than the highs of the bars to the left and right for it to be considered a swing low.
This parameter allows traders to control the sensitivity of the swing points used to anchor VWAPs. A smaller lookback value will identify more frequent and short-term swing highs and lows, making the VWAPs more responsive to recent price action. Conversely, a larger lookback value will result in fewer but more significant swing points.
Pine Script
Utilization of Pine Script’s Enum Feature: This indicator leverages Pine Script's new enum feature for the selection of the VWAP lines (solid, dashed, or dotted) style.
Day & Swing Trading EMA Clouds with Adaptive LevelsDay & Swing Trading EMA Clouds with Adaptive Levels is a tool designed for traders who need a flexible indicator that adapts to both short-term (day trading) and long-term (swing trading) strategies. The indicator blends EMA clouds and adaptive support/resistance levels, making it suitable for analyzing trend strength and key price zones.
How It Works:
EMA Clouds for Trend Detection:
This indicator uses three EMAs (Fast, Intermediate, Slow) to create two clouds:
Fast Cloud: The area between the fast and Intermediate EMAs.
Slow Cloud: The area between the Intermediate and slow EMAs.
The cloud colors change based on trend direction:
Positive (uptrend): When the fast EMA is above the Intermediate EMA (turquoise) or the Intermediate EMA is above the slow EMA (teal).
Negative (downtrend): When the fast EMA is below the Intermediate EMA (pink) or the Intermediate EMA is below the slow EMA (magenta).
Traders can use these clouds to visually gauge market momentum and trend reversals.
Adaptive EMA Settings Based on Trading Mode:
The EMA lengths adjust automatically depending on whether you're in Day Trading or Swing Trading mode:
Day Trading Mode uses shorter periods to capture quick price movements:
Fast EMA: 5-period
Mid EMA: 13-period
Slow EMA: 21-period
Swing Trading Mode uses longer periods to capture broader trends:
Fast EMA: 12-period
Mid EMA: 26-period
Slow EMA: 50-period
This dynamic adjustment allows you to switch between trading styles seamlessly, with the EMAs reflecting the most relevant timeframes for each strategy.
Adaptive Support and Resistance Levels:
Depending on the selected trading mode, the indicator dynamically plots key levels:
Day Trading Mode: Previous day’s high, low, and midpoint, as well as 2-day levels.
Swing Trading Mode: Previous month’s high, low, and midpoint, as well as 2-month levels.
These levels act as dynamic support and resistance zones, giving traders critical areas to monitor for potential reversals or breakouts.
Buy & Sell Signals:
Visual buy/sell signals are generated when the fast EMA crosses above or below the slow EMA. These signals can help traders identify potential trend reversals.
Customization:
You can fully adjust the transparency and colors of the clouds to fit your personal preferences and trading style.
Why This Combination?
Combining EMA clouds with adaptive levels provides traders with a complete picture. The clouds highlight the underlying market momentum and trend strength, while the adaptive levels offer potential entry/exit points based on historical price action. This unique mashup allows traders to follow trends and plan trades around key support and resistance zones.
analytics_tablesLibrary "analytics_tables"
📝 Description
This library provides the implementation of several performance-related statistics and metrics, presented in the form of tables.
The metrics shown in the afforementioned tables where developed during the past years of my in-depth analalysis of various strategies in an atempt to reason about the performance of each strategy.
The visualization and some statistics where inspired by the existing implementations of the "Seasonality" script, and the performance matrix implementations of @QuantNomad and @ZenAndTheArtOfTrading scripts.
While this library is meant to be used by my strategy framework "Template Trailing Strategy (Backtester)" script, I wrapped it in a library hoping this can be usefull for other community strategy scripts that will be released in the future.
🤔 How to Guide
To use the functionality this library provides in your script you have to import it first!
Copy the import statement of the latest release by pressing the copy button below and then paste it into your script. Give a short name to this library so you can refer to it later on. The import statement should look like this:
import jason5480/analytics_tables/1 as ant
There are three types of tables provided by this library in the initial release. The stats table the metrics table and the seasonality table.
Each one shows different kinds of performance statistics.
The table UDT shall be initialized once using the `init()` method.
They can be updated using the `update()` method where the updated data UDT object shall be passed.
The data UDT can also initialized and get updated on demend depending on the use case
A code example for the StatsTable is the following:
var ant.StatsData statsData = ant.StatsData.new()
statsData.update(SideStats.new(), SideStats.new(), 0)
if (barstate.islastconfirmedhistory or (barstate.isrealtime and barstate.isconfirmed))
var statsTable = ant.StatsTable.new().init(ant.getTablePos('TOP', 'RIGHT'))
statsTable.update(statsData)
A code example for the MetricsTable is the following:
var ant.StatsData statsData = ant.StatsData.new()
statsData.update(ant.SideStats.new(), ant.SideStats.new(), 0)
if (barstate.islastconfirmedhistory or (barstate.isrealtime and barstate.isconfirmed))
var metricsTable = ant.MetricsTable.new().init(ant.getTablePos('BOTTOM', 'RIGHT'))
metricsTable.update(statsData, 10)
A code example for the SeasonalityTable is the following:
var ant.SeasonalData seasonalData = ant.SeasonalData.new().init(Seasonality.monthOfYear)
seasonalData.update()
if (barstate.islastconfirmedhistory or (barstate.isrealtime and barstate.isconfirmed))
var seasonalTable = ant.SeasonalTable.new().init(seasonalData, ant.getTablePos('BOTTOM', 'LEFT'))
seasonalTable.update(seasonalData)
🏋️♂️ Please refer to the "EXAMPLE" regions of the script for more advanced and up to date code examples!
Special thanks to @Mrcrbw for the proposal to develop this library and @DCNeu for the constructive feedback 🏆.
getTablePos(ypos, xpos)
Get table position compatible string
Parameters:
ypos (simple string) : The position on y axise
xpos (simple string) : The position on x axise
Returns: The position to be passed to the table
method init(this, pos, height, width, positiveTxtColor, negativeTxtColor, neutralTxtColor, positiveBgColor, negativeBgColor, neutralBgColor)
Initialize the stats table object with the given colors in the given position
Namespace types: StatsTable
Parameters:
this (StatsTable) : The stats table object
pos (simple string) : The table position string
height (simple float) : The height of the table as a percentage of the charts height. By default, 0 auto-adjusts the height based on the text inside the cells
width (simple float) : The width of the table as a percentage of the charts height. By default, 0 auto-adjusts the width based on the text inside the cells
positiveTxtColor (simple color) : The text color when positive
negativeTxtColor (simple color) : The text color when negative
neutralTxtColor (simple color) : The text color when neutral
positiveBgColor (simple color) : The background color with transparency when positive
negativeBgColor (simple color) : The background color with transparency when negative
neutralBgColor (simple color) : The background color with transparency when neutral
method init(this, pos, height, width, neutralBgColor)
Initialize the metrics table object with the given colors in the given position
Namespace types: MetricsTable
Parameters:
this (MetricsTable) : The metrics table object
pos (simple string) : The table position string
height (simple float) : The height of the table as a percentage of the charts height. By default, 0 auto-adjusts the height based on the text inside the cells
width (simple float) : The width of the table as a percentage of the charts width. By default, 0 auto-adjusts the width based on the text inside the cells
neutralBgColor (simple color) : The background color with transparency when neutral
method init(this, seas)
Initialize the seasonal data
Namespace types: SeasonalData
Parameters:
this (SeasonalData) : The seasonal data object
seas (simple Seasonality) : The seasonality of the matrix data
method init(this, data, pos, maxNumOfYears, height, width, extended, neutralTxtColor, neutralBgColor)
Initialize the seasonal table object with the given colors in the given position
Namespace types: SeasonalTable
Parameters:
this (SeasonalTable) : The seasonal table object
data (SeasonalData) : The seasonality data of the table
pos (simple string) : The table position string
maxNumOfYears (simple int) : The maximum number of years that fit into the table
height (simple float) : The height of the table as a percentage of the charts height. By default, 0 auto-adjusts the height based on the text inside the cells
width (simple float) : The width of the table as a percentage of the charts width. By default, 0 auto-adjusts the width based on the text inside the cells
extended (simple bool) : The seasonal table with extended columns for performance
neutralTxtColor (simple color) : The text color when neutral
neutralBgColor (simple color) : The background color with transparency when neutral
method update(this, wins, losses, numOfInconclusiveExits)
Update the strategy info data of the strategy
Namespace types: StatsData
Parameters:
this (StatsData) : The strategy statistics object
wins (SideStats)
losses (SideStats)
numOfInconclusiveExits (int) : The number of inconclusive trades
method update(this, stats, positiveTxtColor, negativeTxtColor, negativeBgColor, neutralBgColor)
Update the stats table object with the given data
Namespace types: StatsTable
Parameters:
this (StatsTable) : The stats table object
stats (StatsData) : The stats data to update the table
positiveTxtColor (simple color) : The text color when positive
negativeTxtColor (simple color) : The text color when negative
negativeBgColor (simple color) : The background color with transparency when negative
neutralBgColor (simple color) : The background color with transparency when neutral
method update(this, stats, buyAndHoldPerc, positiveTxtColor, negativeTxtColor, positiveBgColor, negativeBgColor)
Update the metrics table object with the given data
Namespace types: MetricsTable
Parameters:
this (MetricsTable) : The metrics table object
stats (StatsData) : The stats data to update the table
buyAndHoldPerc (float) : The buy and hold percetage
positiveTxtColor (simple color) : The text color when positive
negativeTxtColor (simple color) : The text color when negative
positiveBgColor (simple color) : The background color with transparency when positive
negativeBgColor (simple color) : The background color with transparency when negative
method update(this)
Update the seasonal data based on the season and eon timeframe
Namespace types: SeasonalData
Parameters:
this (SeasonalData) : The seasonal data object
method update(this, data, positiveTxtColor, negativeTxtColor, neutralTxtColor, positiveBgColor, negativeBgColor, neutralBgColor, timeBgColor)
Update the seasonal table object with the given data
Namespace types: SeasonalTable
Parameters:
this (SeasonalTable) : The seasonal table object
data (SeasonalData) : The seasonal cell data to update the table
positiveTxtColor (simple color) : The text color when positive
negativeTxtColor (simple color) : The text color when negative
neutralTxtColor (simple color) : The text color when neutral
positiveBgColor (simple color) : The background color with transparency when positive
negativeBgColor (simple color) : The background color with transparency when negative
neutralBgColor (simple color) : The background color with transparency when neutral
timeBgColor (simple color) : The background color of the time gradient
SideStats
Object that represents the strategy statistics data of one side win or lose
Fields:
numOf (series int)
sumFreeProfit (series float)
freeProfitStDev (series float)
sumProfit (series float)
profitStDev (series float)
sumGain (series float)
gainStDev (series float)
avgQuantityPerc (series float)
avgCapitalRiskPerc (series float)
avgTPExecutedCount (series float)
avgRiskRewardRatio (series float)
maxStreak (series int)
StatsTable
Object that represents the stats table
Fields:
table (series table) : The actual table
rows (series int) : The number of rows of the table
columns (series int) : The number of columns of the table
StatsData
Object that represents the statistics data of the strategy
Fields:
wins (SideStats)
losses (SideStats)
numOfInconclusiveExits (series int)
avgFreeProfitStr (series string)
freeProfitStDevStr (series string)
lossFreeProfitStDevStr (series string)
avgProfitStr (series string)
profitStDevStr (series string)
lossProfitStDevStr (series string)
avgQuantityStr (series string)
MetricsTable
Object that represents the metrics table
Fields:
table (series table) : The actual table
rows (series int) : The number of rows of the table
columns (series int) : The number of columns of the table
SeasonalData
Object that represents the seasonal table dynamic data
Fields:
seasonality (series Seasonality)
eonToMatrixRow (map)
numOfEons (series int)
mostRecentMatrixRow (series int)
balances (matrix)
returnPercs (matrix)
maxDDs (matrix)
eonReturnPercs (array)
eonCAGRs (array)
eonMaxDDs (array)
SeasonalTable
Object that represents the seasonal table
Fields:
table (series table) : The actual table
headRows (series int) : The number of head rows of the table
headColumns (series int) : The number of head columns of the table
eonRows (series int) : The number of eon rows of the table
seasonColumns (series int) : The number of season columns of the table
statsRows (series int)
statsColumns (series int) : The number of stats columns of the table
rows (series int) : The number of rows of the table
columns (series int) : The number of columns of the table
extended (series bool) : Whether the table has additional performance statistics
EMA GridThe EMA Grid indicator is a powerful tool that calculates the overall market sentiment by comparing the order of 20 different Exponential Moving Averages (EMAs) over various lengths. The indicator assigns a rating based on how well-ordered the EMAs are relative to each other, representing the strength and direction of the market trend. It also smooths out the macro movements using cumulative calculations and visually represents the market sentiment through color-coded bands.
EMA Calculation:
The indicator uses a series of EMAs with different lengths, starting from 5 and going up to 100. Each EMA is calculated either using the exponential moving averages.
The EMAs form the grid that the indicator uses to measure the order and distance between them.
Rating Calculation:
The indicator computes the relative distance between consecutive EMAs and sums these differences.
The cumulative sum is further smoothed using multiple EMAs with different lengths (from 3 to 21). This smooths out short-term fluctuations and helps identify broader trends.
Market Sentiment Rating:
The overall sentiment is calculated by comparing the values of these smoothing EMAs. If the shorter-term EMA is above the longer-term EMA, it contributes positively to the sentiment; otherwise, it contributes negatively.
The final rating is a normalized value based on the relationship between these EMAs, producing a sentiment score between 1 (bullish) and -1 (bearish).
Color Coding and Bands:
The indicator uses the sentiment rating to color the space between the 100 EMA and 200 EMA, representing the strength of the trend.
If the sentiment is bullish (rating > 0), the band is shaded green. If the sentiment is bearish (rating < 0), the band is shaded red.
The intensity of the color is based on the strength of the sentiment, with stronger trends resulting in more saturated colors.
Utility for Traders:
The EMA Grid is ideal for traders looking to gauge the broader market trend by analyzing the structure and alignment of multiple EMAs. The color-coded band between the 100 and 200 EMAs provides an at-a-glance view of market momentum, helping traders make informed decisions based on the trend's strength and direction.
This indicator can be used to identify bullish or bearish conditions and offers a smoothed perspective on market trends, reducing noise and highlighting significant trend shifts.
3-Bar (Outside Bar) Scanner with Table Display# 3-Bar (Outside Bar) Scanner with Table Display
## Overview
The **3-Bar (Outside Bar) Scanner with Table Display** is a custom TradingView indicator designed for traders who utilize **The Strat** methodology. This indicator scans for **3-bar (Outside Bar)** patterns across multiple symbols and displays the results in a convenient table format directly on your chart.
## Purpose
- **Efficient Multi-Symbol Scanning**: Monitor up to four symbols simultaneously for 3-bar patterns without the need to switch between charts.
- **Real-Time Updates**: The table dynamically updates with new price data, providing immediate insights into potential trading opportunities.
- **Visual Clarity**: Displays whether a 3-bar is bullish ("3 Up") or bearish ("3 Down"), helping you quickly interpret market sentiment.
## How It Works
- **Data Retrieval**: The indicator uses `request.security()` to fetch high, low, open, and close prices for the specified symbols and timeframe.
- **3-Bar Detection**:
- **Outside Bar Criteria**: Checks if the current candle's high is higher than the previous candle's high and the current low is lower than the previous low.
- **Direction Determination**:
- **"3 Up"**: If the candle closes higher than it opens (bullish candle).
- **"3 Down"**: If the candle closes lower than it opens (bearish candle).
- **Table Display**:
- The table shows the **Symbol**, **Timeframe**, and **State** ("3 Up", "3 Down", or blank if no pattern detected).
- Customizable colors and positioning to fit your chart's aesthetics.
## Best Use Cases
- **Rapid Market Analysis**: Ideal for traders needing a quick overview of multiple assets for potential 3-bar setups.
- **Strategic Decision-Making**: Helps identify key reversal or continuation patterns in alignment with **The Strat** principles.
- **Scalable Monitoring**: By utilizing TradingView's multi-chart layouts, you can expand monitoring beyond four symbols.
## Instructions for Use
### Adding the Indicator to Your Chart
1. **Copy the Code**: Use the provided Pine Script code for the indicator.
2. **Create a New Indicator**:
- In TradingView, click on **Pine Editor** at the bottom of the platform.
- Paste the code into the editor.
3. **Save and Add to Chart**:
- Click **Save** and give your indicator a name.
- Click **Add to Chart** to apply it.
### Customizing the Inputs
- **Symbols**:
- **Symbol 1**: Leave blank to use the current chart's symbol or enter a specific symbol (e.g., `AAPL`).
- **Symbol 2 to Symbol 4**: Enter additional symbols or leave them blank.
- **Timeframe**: Select your desired timeframe (e.g., `D` for Daily, `60` for 60-minute).
- **Table Colors**:
- Customize header and data colors for better visibility against your chart background.
### Interpreting the Table
- **Symbol**: Displays the symbol without the exchange prefix for clarity.
- **Timeframe**: Shows the timeframe applied to the analysis.
- **State**:
- **"3 Up"**: A bullish outside bar where the candle closed higher than it opened.
- **"3 Down"**: A bearish outside bar where the candle closed lower than it opened.
- **Blank**: No 3-bar pattern detected on the latest candle.
### Monitoring More Than Four Symbols
- **Multi-Chart Layout**:
- Use TradingView's multi-chart feature to display multiple charts within a single workspace.
- Apply the indicator to each chart. For example:
- **Four-Chart Grid**: Monitor up to 16 symbols by setting up four charts, each with the indicator tracking four symbols.
- **Steps**:
1. Arrange your workspace into a multi-chart layout.
2. Add the indicator to each chart.
3. Input different symbols into the indicator on each chart.
## Example Usage
Suppose you want to monitor the following symbols on a Daily timeframe:
- **Symbol 1**: *(Leave blank to use the current chart's symbol, e.g., `SPY`)*
- **Symbol 2**: `AAPL`
- **Symbol 3**: `TSLA`
- **Symbol 4**: `AMZN`
After adding the indicator and entering these symbols:
- **SPY**: The table shows "3 Up" in the State column, indicating a bullish outside bar.
- **AAPL**: No 3-bar pattern detected; the State column is blank.
- **TSLA**: The table shows "3 Down," indicating a bearish outside bar.
- **AMZN**: The table shows "3 Up," indicating another bullish outside bar.
This setup allows you to quickly assess which symbols are exhibiting significant patterns that may warrant further analysis or action.
## Notes
- **Customization**: Feel free to adjust the table's position and colors to suit your preferences.
- **Limitations**:
- Be aware of TradingView's limitations on `request.security()` calls, which may vary based on your subscription plan.
- The indicator is designed to monitor up to four symbols per instance due to these limitations.
- **Scalability**:
- By using multi-chart layouts, you can effectively monitor more symbols without overloading a single chart.
- This approach allows you to scale up your monitoring capabilities to fit your trading strategy.
## Conclusion
The **3-Bar (Outside Bar) Scanner with Table Display** is a valuable tool for traders who utilize **The Strat** methodology. It streamlines the process of identifying key 3-bar patterns across multiple symbols and timeframes, enhancing your ability to make informed trading decisions quickly.
By integrating this indicator into your trading routine, you can:
- Stay alert to significant market movements.
- Reduce the time spent manually scanning charts.
- Increase efficiency in executing your trading strategy.
---
Feel free to share this indicator with the Strat community. Feedback and suggestions are welcome to further enhance its functionality. Happy trading!
$TUBR: Stop Loss IndicatorATR-Based Stop Loss Indicator for TradingView by The Ultimate Bull Run Community: TUBR
**Overview**
The ATR-Based Stop Loss Indicator is a custom tool designed for traders using TradingView. It helps you determine optimal stop loss levels by leveraging the Average True Range (ATR), a popular measure of market volatility. By adapting to current market conditions, this indicator aims to minimize premature stop-outs and enhance your risk management strategy.
---
**Key Features**
- **Dynamic Stop Loss Levels**: Calculates stop loss prices based on the ATR, providing both long and short stop loss suggestions.
- **Customizable Parameters**: Adjust the ATR period, multiplier, and smoothing method to suit your trading style and the specific instrument you're trading.
- **Visual Aids**: Plots stop loss lines directly on your chart for easy visualization.
- **Alerts and Notifications** (Optional): Set up alerts to notify you when the price approaches or hits your stop loss levels.
---
**Understanding the Indicator**
1. **Average True Range (ATR)**:
- **What It Is**: ATR measures market volatility by calculating the average range between high and low prices over a specified period.
- **Why It's Useful**: A higher ATR indicates higher volatility, which can help you set stop losses that accommodate market fluctuations.
2. **ATR Multiplier**:
- **Purpose**: Determines how far your stop loss is placed from the current price based on the ATR.
- **Example**: An ATR multiplier of 1.5 means the stop loss is set at 1.5 times the ATR away from the current price.
3. **Smoothing Methods**:
- **Options**: Choose from RMA (default), SMA, EMA, WMA, or Hull MA.
- **Effect**: Different smoothing methods can make the ATR more responsive or smoother, affecting where the stop loss is placed.
---
**How the Indicator Works**
- **Long Stop Loss Calculation**:
- **Formula**: `Long Stop Loss = Close Price - (ATR * ATR Multiplier)`
- **Purpose**: For long positions, the stop loss is set below the current price to protect against downside risk.
- **Short Stop Loss Calculation**:
- **Formula**: `Short Stop Loss = Close Price + (ATR * ATR Multiplier)`
- **Purpose**: For short positions, the stop loss is set above the current price to protect against upside risk.
- **Plotting on the Chart**:
- **Green Line**: Represents the suggested stop loss level for long positions.
- **Red Line**: Represents the suggested stop loss level for short positions.
---
**How to Use the Indicator**
1. **Adding the Indicator to Your Chart**:
- **Step 1**: Copy the PineScript code of the indicator.
- **Step 2**: In TradingView, click on **Pine Editor** at the bottom of the platform.
- **Step 3**: Paste the code into the editor and click **Add to Chart**.
- **Step 4**: The indicator will appear on your chart with the default settings.
2. **Adjusting the Settings**:
- **ATR Period**:
- **Definition**: Number of periods over which the ATR is calculated.
- **Adjustment**: Increase for a smoother ATR; decrease for a more responsive ATR.
- **ATR Multiplier**:
- **Definition**: Factor by which the ATR is multiplied to set the stop loss distance.
- **Adjustment**: Increase to widen the stop loss (less likely to be hit); decrease to tighten the stop loss.
- **Smoothing Method**:
- **Options**: RMA, SMA, EMA, WMA, Hull MA.
- **Adjustment**: Experiment to see which method aligns best with your trading strategy.
- **Display Options**:
- **Show Long Stop Loss**: Toggle to display or hide the long stop loss line.
- **Show Short Stop Loss**: Toggle to display or hide the short stop loss line.
3. **Interpreting the Indicator**:
- **Long Positions**:
- **Action**: Set your stop loss at the value indicated by the green line when entering a long trade.
- **Short Positions**:
- **Action**: Set your stop loss at the value indicated by the red line when entering a short trade.
- **Adjusting Stop Losses**:
- **Trailing Stops**: You may choose to adjust your stop loss over time, moving it in the direction of your trade as the ATR-based stop loss levels change.
4. **Implementing in Your Trading Strategy**:
- **Risk Management**:
- **Position Sizing**: Use the stop loss distance to calculate your position size based on your risk tolerance.
- **Consistency**: Apply the same settings consistently to maintain discipline.
- **Combining with Other Indicators**:
- **Enhance Decision-Making**: Use in conjunction with trend indicators, support and resistance levels, or other technical analysis tools.
- **Alerts Setup** (If included in the code):
- **Purpose**: Receive notifications when the price approaches or hits your stop loss level.
- **Configuration**: Set up alerts in TradingView based on the alert conditions defined in the indicator.
---
**Benefits of Using This Indicator**
- **Adaptive Risk Management**: By accounting for current market volatility, the indicator helps prevent setting stop losses that are too tight or too wide.
- **Minimize Premature Stop-Outs**: Reduces the likelihood of being stopped out due to normal price fluctuations.
- **Flexibility**: Customizable settings allow you to tailor the indicator to different trading instruments and timeframes.
- **Visualization**: Clear visual representation of stop loss levels aids in quick decision-making.
---
**Things to Consider**
- **Market Conditions**:
- **High Volatility**: Be cautious as ATR values—and thus stop loss distances—can widen, increasing potential losses.
- **Low Volatility**: Tighter stop losses may increase the chance of being stopped out by minor price movements.
- **Backtesting and Optimization**:
- **Historical Analysis**: Test the indicator on past data to evaluate its effectiveness and adjust settings accordingly.
- **Continuous Improvement**: Regularly reassess and fine-tune the parameters to adapt to changing market conditions.
- **Risk Per Trade**:
- **Alignment with Risk Tolerance**: Ensure the stop loss level keeps potential losses within your acceptable risk per trade (e.g., 1-2% of your trading capital).
- **Emotional Discipline**:
- **Stick to Your Plan**: Avoid making impulsive changes to your stop loss levels based on emotions rather than analysis.
---
**Example Usage Scenario**
1. **Setting Up a Long Trade**:
- **Entry Price**: $100
- **ATR Value**: $2
- **ATR Multiplier**: 1.5
- **Calculated Stop Loss**: $100 - ($2 * 1.5) = $97
- **Action**: Place a stop loss order at $97.
2. **During the Trade**:
- **Price Increases to $105**
- **ATR Remains at $2**
- **New Stop Loss Level**: $105 - ($2 * 1.5) = $102
- **Action**: Move your stop loss up to $102 to lock in profits.
---
**Final Tips**
- **Documentation**: Keep a trading journal to record your trades, stop loss levels, and observations for future reference.
- **Education**: Continuously educate yourself on risk management and technical analysis to enhance your trading skills.
- **Support**: Engage with trading communities or seek professional advice if you're unsure about implementing the indicator effectively.
---
**Conclusion**
The ATR-Based Stop Loss Indicator is a valuable tool for traders looking to enhance their risk management by setting stop losses that adapt to market volatility. By integrating this indicator into your trading routine, you can improve your ability to protect capital and potentially increase profitability. Remember to use it as part of a comprehensive trading strategy, and always adhere to sound risk management principles.
---
**How to Access the Indicator**
To start using the ATR-Based Stop Loss Indicator, follow these steps:
1. **Obtain the Code**: Copy the PineScript code provided for the indicator.
2. **Create a New Indicator in TradingView**:
- Open TradingView and navigate to the **Pine Editor**.
- Paste the code into the editor.
- Click **Save** and give your indicator a name.
3. **Add to Chart**: Click **Add to Chart** to apply the indicator to your current chart.
4. **Customize Settings**: Adjust the input parameters to suit your preferences and start integrating the indicator into your trading strategy.
---
**Disclaimer**
Trading involves significant risk, and it's possible to lose all your capital. The ATR-Based Stop Loss Indicator is a tool to aid in decision-making but does not guarantee profits or prevent losses. Always conduct your own analysis and consider seeking advice from a financial professional before making trading decisions.
3% Above and Below Previous Day Close (Stable)This indictor will mark intraday levels. Levels will be marked by calculating 3% up and 3% down from previous day close.
This indicator calculates 3% levels above and below the previous day's close. These levels can be used to track potential support or resistance levels throughout the trading day.
This script helps plot 3% above and below the previous day's close price. It allows you to toggle historical levels and can be useful for monitoring potential intraday price action around these key levels.
Daksh RSI POINT to ShootHere are the key points and features of the Pine Script provided:
### 1. **Indicator Settings**:
- The indicator is named **"POINT and Shoot"** and is set for non-overlay (`overlay=false`) on the chart.
- `max_bars_back=4000` is defined, indicating the maximum number of bars that the script can reference.
### 2. **Input Parameters**:
- `Src` (Source): The price source, default is `close`.
- `rsilen` (RSI Length): The length for calculating RSI, default is 20.
- `linestylei`: Style for the trend lines (`Solid` or `Dashed`).
- `linewidth`: Width of the plotted lines, between 1 and 4.
- `showbroken`: Option to show broken trend lines.
- `extendlines`: Option to extend trend lines.
- `showpivot`: Show pivot points (highs and lows).
- `showema`: Show a weighted moving average (WMA) line.
- `len`: Length for calculating WMA, default is 9.
### 3. **RSI Calculation**:
- Calculates a custom RSI value using relative moving averages (`ta.rma`), and optionally uses On-Balance Volume (`ta.obv`) if `indi` is set differently.
- Plots RSI values as a green or red line depending on its position relative to the WMA.
### 4. **Pivot Points**:
- Utilizes the `ta.pivothigh` and `ta.pivotlow` functions to detect pivot highs and lows over the defined period.
- Stores up to 10 recent pivot points for highs and lows.
### 5. **Trend Line Drawing**:
- Lines are drawn based on pivot highs and lows.
- Calculates potential trend lines using linear interpolation and validates them by checking if subsequent bars break or respect the trend.
- If the trend is broken, and `showbroken` is enabled, it draws dotted lines to represent these broken trends.
### 6. **Line Management**:
- Initializes multiple lines (`l1` to `l20` and `t1` to `t20`) and uses these lines for drawing uptrend and downtrend lines.
- The maximum number of lines is set to 20 for uptrends and 20 for downtrends, due to a limit on the total number of lines that can be displayed on the chart.
### 7. **Line Style and Color**:
- Defines different colors for uptrend lines (`ulcolor = color.red`) and downtrend lines (`dlcolor = color.blue`).
- Line styles are determined by user input (`linestyle`) and use either solid or dashed patterns.
- Broken lines use a dotted style to indicate invalidated trends.
### 8. **Pivot Point Plotting**:
- Plots labels "H" and "L" for pivot highs and lows, respectively, to visually indicate turning points on the chart.
### 9. **Utility Functions**:
- Uses helper functions to get the values and positions of the last 10 pivot points, such as `getloval`, `getlopos`, `gethival`, and `gethipos`.
- The script uses custom logic for line placement based on whether the pivots are lower lows or higher highs, with lines adjusted dynamically based on price movement.
### 10. **Plotting and Visuals**:
- The main RSI line is plotted using a color gradient based on its position relative to the WMA.
- Horizontal lines (`hline1` and `hline2`) are used for visual reference at RSI levels of 60 and 40.
- Filled regions between these horizontal lines provide visual cues for potential overbought or oversold zones.
These are the main highlights of the script, which focuses on trend detection, visualization of pivot points, and dynamic line plotting based on price action.
