Multi-LTF Fisher Transform -AYNETJohn F. Ehlers is a renowned figure in the field of financial markets and technical analysis. With a strong background in engineering and digital signal processing (DSP), Ehlers has applied his expertise to the development of innovative technical indicators and trading systems. His work focuses on using mathematical concepts, particularly those from signal processing, to analyze financial data. THANKS.
Simple Explanation of the Code
This Pine Script code calculates and plots Fisher Transform values for up to 6 different timeframes. The user can enable or disable each timeframe, and each Fisher Transform line is displayed in a unique color. Labels at the end of the lines indicate the timeframe.
Key Components of the Code
User Inputs:
Timeframes: The user specifies up to 6 different timeframes (ltf_1, ltf_2, etc.).
Enable/Disable Options: The user can choose which timeframes to enable using checkboxes (enable_1, enable_2, etc.).
Fisher Transform Length: The number of periods (fisher_length) used to calculate the Fisher Transform.
Fisher Transform Calculation:
For each enabled timeframe, the Fisher Transform is calculated using the fisher_transform_func() function:
Lowest Low and Highest High over the given period are fetched.
The Fisher Transform formula normalizes the price and transforms it into an oscillating value.
Dynamic Plotting:
Each Fisher Transform is plotted in a unique color if the corresponding timeframe is enabled.
Labels are added at the end of the lines to indicate the timeframe (e.g., "15m", "1H").
Visual Enhancements:
Unique colors for each line (green, blue, orange, etc.).
Labels dynamically display the timeframe names.
What the Code Does
Calculates Fisher Transform:
For example, for a 15m timeframe:
Finds the lowest low and highest high over the specified period.
Applies the Fisher Transform formula to normalize and smooth the values.
Plots Active Timeframes:
Only the enabled timeframes are plotted.
Each enabled Fisher Transform is plotted as a separate line.
Adds Labels:
At the end of each plotted line, a label indicates which timeframe it represents.
How It Looks
Each active timeframe is displayed as a colored oscillating line on the chart.
Labels like "15m" or "1H" appear at the end of the lines.
Inactive timeframes are not shown.
User Interaction
Input Parameters:
Select the desired timeframes (e.g., "15m", "1H", "4H").
Enable or disable specific timeframes.
Adjust the Fisher Transform period length.
Output:
View Fisher Transform lines for active timeframes.
Use labels to identify which line corresponds to which timeframe.
Why It’s Useful
Multi-Timeframe Analysis:
Helps compare momentum across different timeframes.
Customizable:
Users can enable only the timeframes they want.
Visual Clarity:
Unique colors and labels make it easy to distinguish between timeframes.
If you need further simplifications or more details, feel free to ask! 😊
インジケーターとストラテジー
Candle Spread
Candle Spread is an indicator that helps traders measure the range of price movement within each candle over a specified time period. It calculates the range of the candle between the High and Low (High - Low) and displays it in a separate window below the chart as columns.
Key Features:
Colored Bars: The bars are colored based on the candle's direction:
Bullish Candle: Bars are Green.
Bearish Candle: Bars are Red.
Moving Average: The indicator includes a 30-period Simple Moving Average (SMA), which represents the overall average range of the candles.
Helps Identify Market Volatility: This indicator helps traders identify wide-range candles (signaling high volatility in the market), which could indicate a surge in momentum or potential trend reversals.
Manual Trading Checklist by Afnan TajuddinHey traders! This Trading Checklist indicator like your personal to-do list right on your chart! Here’s what it does:
Easy Tracking: Seven checkboxes to make sure you’ve done all your trading steps.
Colorful Signs: Green "✔" for done stuff and red "✘" for things you need to fix.
Make It Yours: Change where the table is on the chart, pick your favorite colors, and set the text size just how you like it.
Simple Setup: Rename the checklist items and toggle them on or off in the settings.
Clean Look: It stays neat on your chart without messing things up.
Whether you’re just starting out or you’ve been trading for a while, this checklist helps you stay organized and stick to your plan. Perfect for anyone who loves keeping things tidy and on track!
Important to Know: This checklist is not dynamic or automatic and not specific to any symbol. You need to manually check it every time for all the stocks you’re planning to trade. It won’t do the checking for you, so make sure to update it yourself! 🚨
Wick Trend Analysis with Supertrend and RSI -AYNETScientific Explanation
1. Wick Trend Analysis
Upper and Lower Wicks:
Calculated based on the difference between the high or low price and the candlestick body (open and close).
The trend of these wick lengths is derived using the Simple Moving Average (SMA) over the defined trend_length period.
Trend Direction:
Positive change (ta.change > 0) indicates an increasing trend.
Negative change (ta.change < 0) indicates a decreasing trend.
2. Supertrend Indicator
ATR Bands:
The Supertrend uses the Average True Range (ATR) to calculate dynamic upper and lower bands:
upper_band
=
hl2
+
(
supertrend_atr_multiplier
×
ATR
)
upper_band=hl2+(supertrend_atr_multiplier×ATR)
lower_band
=
hl2
−
(
supertrend_atr_multiplier
×
ATR
)
lower_band=hl2−(supertrend_atr_multiplier×ATR)
Trend Detection:
If the price is above the upper band, the Supertrend moves to the lower band.
If the price is below the lower band, the Supertrend moves to the upper band.
The Supertrend helps identify the prevailing market trend.
3. RSI (Relative Strength Index)
The RSI measures the momentum of price changes and ranges between 0 and 100:
Overbought Zone (Above 70): Indicates that the price may be overextended and due for a pullback.
Oversold Zone (Below 30): Indicates that the price may be undervalued and due for a reversal.
Visualization Features
Wick Trend Lines:
Upper wick trend (green) and lower wick trend (red) show the relative strength of price rejection on both sides.
Wick Trend Area:
The area between the upper and lower wick trends is filled dynamically:
Green: Upper wick trend is stronger.
Red: Lower wick trend is stronger.
Supertrend Line:
Displays the Supertrend as a blue line to highlight the market's directional bias.
RSI:
Plots the RSI line, with horizontal dotted lines marking the overbought (70) and oversold (30) levels.
Applications
Trend Confirmation:
Use the Supertrend and wick trends together to confirm the market's directional bias.
For example, a rising lower wick trend with a bullish Supertrend suggests strong bullish sentiment.
Momentum Analysis:
Combine the RSI with wick trends to assess the strength of price movements.
For example, if the RSI is oversold and the lower wick trend is increasing, it may signal a potential reversal.
Signal Generation:
Generate entry signals when all three indicators align:
Bullish Signal:
Lower wick trend increasing.
Supertrend bullish.
RSI rising from oversold.
Bearish Signal:
Upper wick trend increasing.
Supertrend bearish.
RSI falling from overbought.
Future Improvements
Alert System:
Add alerts for alignment of Supertrend, RSI, and wick trends:
pinescript
Kodu kopyala
alertcondition(upper_trend_direction == 1 and supertrend < close and rsi > 50, title="Bullish Signal", message="Bullish alignment detected.")
alertcondition(lower_trend_direction == 1 and supertrend > close and rsi < 50, title="Bearish Signal", message="Bearish alignment detected.")
Custom Thresholds:
Add thresholds for wick lengths and RSI levels to filter weak signals.
Multiple Timeframes:
Incorporate multi-timeframe analysis for more robust signal generation.
Conclusion
This script combines wick trends, Supertrend, and RSI to create a comprehensive framework for analyzing market sentiment and detecting potential trading opportunities. By visualizing trends, market bias, and momentum, traders can make more informed decisions and reduce reliance on single-indicator strategies.
Wick Trend Analysis - AYNETScientific Explanation
1. Wick Trend Lines
Upper Wick Trend Line: The upper_wick_trend is calculated as the Simple Moving Average (SMA) of the upper wick lengths over the user-defined period (trend_length).
pinescript
Kodu kopyala
float upper_wick_trend = ta.sma(upper_wick_length, trend_length)
Lower Wick Trend Line: The lower_wick_trend is similarly calculated for the lower wick lengths.
pinescript
Kodu kopyala
float lower_wick_trend = ta.sma(lower_wick_length, trend_length)
2. Filling Between Lines
fill Function: The fill function colors the area between two plotted lines (plot_upper and plot_lower) based on a defined condition.
pinescript
Kodu kopyala
fill(plot_upper, plot_lower, color=fill_color, title="Wick Trend Area")
Condition for Coloring: The color is determined based on whether the upper wick trend is greater or less than the lower wick trend:
Green Fill: Indicates that the upper wick trend is dominant (i.e., upper_wick_trend > lower_wick_trend).
Red Fill: Indicates that the lower wick trend is dominant (i.e., upper_wick_trend <= lower_wick_trend).
Visualization Features
Trend Lines:
Upper wick trend is plotted as a green line.
Lower wick trend is plotted as a red line.
Filled Area:
The area between the two trend lines is filled:
Green when the upper wick trend is dominant.
Red when the lower wick trend is dominant.
Dynamic Adjustments:
The user can adjust the trend_length to change the sensitivity of the SMA calculations.
Applications
Sentiment Analysis:
Green Fill (Upper Trend Dominance): Indicates stronger rejection at higher prices, suggesting bearish sentiment.
Red Fill (Lower Trend Dominance): Indicates stronger rejection at lower prices, suggesting bullish sentiment.
Signal Generation:
Transitions in the fill color (from green to red or vice versa) can serve as potential trade signals.
Volatility Assessment:
Wider gaps between the trend lines indicate higher market volatility, while narrower gaps suggest lower volatility.
Enhancements
1. Trend Strength Filtering
Add thresholds to filter out minor trends or insignificant wick activity:
pinescript
Kodu kopyala
bool significant_upper_wick = upper_wick_length > 10 // Minimum length for upper wick
bool significant_lower_wick = lower_wick_length > 10
2. Alerts for Trend Changes
Trigger alerts when the dominance of the trend changes:
pinescript
Kodu kopyala
alertcondition(upper_wick_trend > lower_wick_trend, title="Upper Wick Dominance", message="Upper wick trend is now dominant.")
alertcondition(lower_wick_trend > upper_wick_trend, title="Lower Wick Dominance", message="Lower wick trend is now dominant.")
3. Combined Wick Analysis
Incorporate total wick activity (upper + lower wicks) for holistic analysis:
pinescript
Kodu kopyala
float total_wick_trend = ta.sma(upper_wick_length + lower_wick_length, trend_length)
Conclusion
This script provides a robust visualization of wick trends with dynamic color filling to indicate trend dominance. By observing the relative strength of upper and lower wick trends, traders can assess market sentiment, detect potential reversals, and gauge volatility. This method can be further enhanced with additional filters, alerts, and composite indicators to refine trading strategies.
Wick Detection (1 and 0) - AYNETDetailed Scientific Explanation
1. Wick Detection Logic
Definition of a Wick:
A wick, also known as a shadow, represents the price action outside the range of a candlestick's body (the region between open and close).
Upper Wick: Occurs when the high value exceeds the greater of open and close.
Lower Wick: Occurs when the low value is lower than the smaller of open and close.
Upper Wick Detection:
pinescript
Kodu kopyala
bool has_upper_wick = high > math.max(open, close)
This checks if the high price of the candle is greater than the maximum of the open and close prices. If true, an upper wick exists.
Lower Wick Detection:
pinescript
Kodu kopyala
bool has_lower_wick = low < math.min(open, close)
This checks if the low price of the candle is less than the minimum of the open and close prices. If true, a lower wick exists.
2. Binary Representation
The presence of a wick is encoded as a binary value for simplicity and computational analysis:
Upper Wick: Represented as 1 if present, otherwise 0.
pinescript
Kodu kopyala
float upper_wick_binary = has_upper_wick ? 1 : 0
Lower Wick: Represented as 1 if present, otherwise 0. This value is inverted (-1) for visualization purposes.
pinescript
Kodu kopyala
float lower_wick_binary = has_lower_wick ? 1 : 0
3. Visualization with Histograms
The plot function is used to create histograms for visualizing the binary wick data:
Upper Wicks: Plotted as positive values with green columns:
pinescript
Kodu kopyala
plot(upper_wick_binary, title="Upper Wick", color=color.new(color.green, 0), style=plot.style_columns, linewidth=2)
Lower Wicks: Plotted as negative values with red columns:
pinescript
Kodu kopyala
plot(lower_wick_binary * -1, title="Lower Wick", color=color.new(color.red, 0), style=plot.style_columns, linewidth=2)
Features and Applications
1. Wick Visualization:
Upper wicks are displayed as positive green columns.
Lower wicks are displayed as negative red columns.
This provides a clear visual representation of wick presence in historical data.
2. Technical Analysis:
Wick formations often indicate market sentiment:
Upper Wicks: Sellers pushed the price lower after buyers drove it higher, signaling rejection at the top.
Lower Wicks: Buyers pushed the price higher after sellers drove it lower, signaling rejection at the bottom.
3. Signal Generation:
Traders can use wick detection to build strategies, such as identifying key price levels or market reversals.
Enhancements and Future Improvements
1. Wick Length Measurement
Instead of binary detection, measure the actual length of the wick:
pinescript
Kodu kopyala
float upper_wick_length = high - math.max(open, close)
float lower_wick_length = math.min(open, close) - low
This approach allows for thresholds to identify significant wicks:
pinescript
Kodu kopyala
bool significant_upper_wick = upper_wick_length > 10 // For wicks longer than 10 units.
bool significant_lower_wick = lower_wick_length > 10
2. Alerts for Long Wicks
Trigger alerts when significant wicks are detected:
pinescript
Kodu kopyala
alertcondition(significant_upper_wick, title="Long Upper Wick", message="A significant upper wick has been detected.")
alertcondition(significant_lower_wick, title="Long Lower Wick", message="A significant lower wick has been detected.")
3. Combined Wick Analysis
Analyze both upper and lower wicks to assess volatility:
pinescript
Kodu kopyala
float total_wick_length = upper_wick_length + lower_wick_length
bool high_volatility = total_wick_length > 20 // Combined wick length exceeds 20 units.
Conclusion
This script provides a compact and computationally efficient way to detect candlestick wicks and represent them as binary data. By visualizing the data with histograms, traders can easily identify wick formations and use them for technical analysis, signal generation, and volatility assessment. The approach can be extended further to measure wick length, detect significant wicks, and integrate these insights into automated trading systems.
[TheMandalor] Invert or Mirror Chart SUPPORT RESSISTANTThis is a new idea to find supports and resistant’s for any charts.
What is the concept of this indicator:
1. It is used close and inverted it on chart
2. When the real chart and the inverted chart is crossing together several times, this point will be important on this concept that means the price will care about this point again and again.
3. When you draw a horizontal line as support and resistance check it with this indicator too, if your support and resistance is touched with inverted chart, it will be more important than normal support/ resistance.
4. This indicator has plot candle too, it means you can compare regular chart with the inverted one at same time if you need.
Here is the steps:
1. When you add the indicator to your chart it will add your ticker as inverted.
2. Change your chart type to line chart.
3. Fix your scale in both sides left and right (the indicator's side is on the left).
4. Now you must have two type of line charts, one is yours (The blue one) and one is plotted with this indicator (The purple one).
5. Draw a horizontal line where these two lines have more crossing at the middle of chart, this line will be a powerful line later.
6. Find other more crossed points and draw horizontal line for them too.
7. Now you can see these indicator's support and resistant’s, now you can remove the indicator and watch how the price will touch, reverse, or stay on your new type of support and resistant’s lines.
PS: I have added candle plotting too if you need it.
Reversal Signals [AlgoAlpha]📈🔄 Reversal Signals – Master Market Reversals with Precision! 🚀✨
Elevate your trading strategy with the Reversal Signals indicator by AlgoAlpha. This advanced tool is designed to pinpoint potential bullish and bearish reversals by analyzing price action and, optionally, volume confirmations. It seamlessly combines reversal detection with trend analysis, giving you a comprehensive view of market dynamics to make informed trading decisions.
Key Features
🔎 Price Action Reversal Detection : Identifies potential reversal points by comparing current price movements against historical candle patterns within a customizable lookback period.
📊 Volume Confirmation : Optionally integrates volume analysis to confirm the strength of reversal signals, enhancing their reliability.
📈 Stepped Moving Average Trend Indicator : Employs a stepped moving average that adjusts at set intervals to reflect underlying market trends.
⚙️ Customizable Settings : Tailor the indicator to your trading style with adjustable parameters for lookback periods, confirmation windows, moving average types, and more.
🎨 Visual Signals and Trend Coloring : Clear on-chart labels for reversal signals and color-coded trend areas to quickly identify bullish and bearish conditions.
🔔 Alerts for Key Market Events : Set up custom alerts for reversal signals and trend shifts to stay ahead of market movements.
Quick Guide to Using the Reversal Signals Indicator :
🛠 Add the Indicator : Add the indicator to your favorites by pressing the star icon. Customize settings like Candle Lookback, Confirm Within, and Use Volume Confirmation to fit your trading style.
📊 Market Analysis : Observe the "𝓡" labels on the chart indicating bullish and bearish reversal signals. Look for labels below the bars for bullish signals and above the bars for bearish signals. Use the color-filled areas between the stepped moving average and the center line to assess market trends.
🔔 Alerts : Enable notifications for reversal signals and trend shifts to stay informed about market movements without constantly monitoring the chart.
How It Works
The Reversal Signals indicator operates by conducting a thorough analysis of price action over a user-defined lookback period. For a bullish reversal, the indicator checks if the current closing price is lower than the lows of the preceding candles within the lookback window, suggesting a potential oversold condition. If this criterion is met, it marks the candle as a potential reversal point and waits for confirmation within a specified number of subsequent candles. Confirmation occurs when the price rises above the high of the identified candle, signaling a bullish reversal. An optional volume confirmation can be enabled to ensure that the reversal is supported by higher-than-average trading volume, adding an extra layer of validation to the signal. The process is mirrored for bearish reversals, where the indicator looks for the closing price exceeding previous highs and awaits confirmation of a downward move.
Complementing the reversal signals, the indicator features a stepped moving average that serves as a dynamic trend indicator. This moving average updates at intervals defined by the MA Step Period and shifts direction based on price crossings. If the price remains above the stepped MA, it indicates a bullish trend, coloring the area between the MA and the center line in green. Conversely, if the price falls below the stepped MA, a bearish trend is signaled, and the area is shaded red. This visual representation helps traders quickly assess the prevailing market trend and align their trading decisions accordingly.
Experience a new level of market insight with the Reversal Signals indicator. Add it to your TradingView chart today and enhance your ability to detect and act on key ma
SPX Open vs SMA AlertThis indicator is specifically designed to identify the first market-relevant candle of the S&P 500 (SPX) after the market opens. The opening price of the trading day is compared to a customizable simple moving average (SMA) period. A visual marker and an alert are triggered when the opening price is above the SMA. Perfect for traders seeking early market trends or integrating automated trading strategies.
Features:
Market Open: The indicator uses the New York market open time (09:30 ET), accounting for time zones and daylight saving time changes.
Flexible Time Offset: Users can set a time offset to trigger alerts after the market opens.
Customizable SMA: The SMA period is adjustable, with a default value of 10.
Visual Representation: A step-line SMA is plotted directly on the chart with subtle transparency and clean markers.
Alert Functionality: Alerts are triggered when conditions are met (opening price > SMA).
Usage:
This indicator is ideal for identifying relevant trading signals early in the session.
Alerts can also serve as triggers for automated trading, e.g., in conjunction with the Trading Automation Toolbox.
Supports both intraday and daily charts.
Alarm Settings:
Select the appropriate symbol (e.g., SPX) and the alert condition "SPX Open > SMA10".
Trigger Settings:
Choose "Once Per Bar Close" to ensure the condition is evaluated at the end of each candle.
If you prefer to evaluate the condition immediately when it becomes true, choose "Once Per Minute".
Duration:
Set the alarm to "Open-ended" if you want it to remain active indefinitely.
Alternatively, set a specific expiration date for the alarm.
followerFollower Indicator
This custom Follower Indicator is designed to track market trends and generate buy/sell signals based on price movements and adaptive moving averages. The indicator adjusts dynamically to market conditions using an Exponential Moving Average (EMA) and a smoothed average of the high-low range over the last 20 bars.
Key Features:
Adaptive Trend Following: The indicator uses an EMA of the close price along with a dynamically adjusted range (high-low) to create an adaptive trend-following line.
Buy and Sell Signals: Buy signals are generated when the EMA crosses above the follower line, while sell signals occur when the follower line crosses above the EMA.
Dynamic Color Coding: The indicator line changes color based on the relationship between the price and the follower line. It turns blue when the price is above the follower line and red when the price is below.
Customizable Parameters: Users can adjust the range multiplier (oran) and the EMA period (uzunluk) to fine-tune the indicator to different market conditions.
How to Use:
Buy Signal: A buy signal is triggered when the EMA crosses above the follower line.
Sell Signal: A sell signal is triggered when the follower line crosses above the EMA.
Notes:
This indicator is intended to help identify market trends and potential entry/exit points based on price behavior and momentum.
It is recommended to use this indicator in conjunction with other technical analysis tools and risk management strategies.
Feel free to adjust the parameters based on your trading style and preferences. Happy trading!
Ultra Strength IndexThe Ultra Strength Index is a momentum-based indicator designed to enhance price action analysis. It identifies overbought/oversold levels and generates buy/sell signals based on momentum shifts. With customizable smoothing and dynamic updates, it suits both trend-following and reversal strategies.
Introduction
The Ultra Strength Index is a powerful tool designed to help traders analyze price momentum, identify trends, and recognize potential turning points in the market. By combining advanced smoothing techniques and customizable settings, it provides a clear visual representation of overbought/oversold conditions and momentum signals, making it suitable for all trading styles.
Detailed Description
The Ultra Strength Index works by analyzing price momentum and visualizing it through smoothed calculations.
Here's how it works:
.........
Impulse Line
Tracks changes in price momentum using a simple moving average (SMA) of the price change. This line reflects the strength and direction of momentum.
.....
Signal Line
A more stable, smoother version of the impulse line, calculated using a Triple Weigthend Moving Average (TWMA) wich created RedKTrader . It acts as a baseline to compare momentum shifts.
.....
Overbought/Oversold Zones
The indicator detects extreme price conditions using historical momentum levels. These levels are dynamically smoothed over a customizable lookback period to minimize noise and ensure reliability.
.....
Repainting Feature
The "Enable Repaint" option offers real-time updating of overbought/oversold levels for more reactive signals, while disabling it provides the actual level for retrospective analysis.
.....
Buy and Sell Signals
The impulse line crosses into or out of overbought/oversold zones. (Triangle)
The impulse line crosses above or below the signal line, indicating potential momentum shifts. (Diamond)
.........
Customizable colors, smoothing periods, and signal settings allow traders to tailor the indicator to their strategy.
Special Thanks
I use the TWMA-Function created from RedKTrader to smooth the values.
Special thanks to him/her for creating and sharing this function!
Day High/Low and Horizontal Lines with Custom Increments How It Works:
Day High and Day Low: The indicator tracks and displays the highest and lowest prices of the current trading day. These values are updated dynamically throughout the day.
Custom Horizontal Lines: The user specifies a starting price and an increment value. The indicator then plots multiple horizontal lines above and below the starting price, spaced at the given increment. Up to 15 lines can be drawn in both directions (above and below).
Alerts: Alerts are triggered when the price crosses any of the horizontal lines, helping traders monitor potential breakouts or reversals.
Use Case:
This indicator is useful for traders who want to:
Track the Day High/Low: Easily reference the high and low of the current day as key price levels.
Monitor Key Price Levels: Draw and observe custom horizontal levels above and below a specific price, such as support/resistance levels or price targets.
Set Alerts: Receive notifications when the price crosses these key levels, helping identify potential breakout or breakdown points in the market.
Why Use This Indicator:
Day Trading: Traders can monitor the high and low of the current trading day to see if the price breaks through key levels.
Breakout Strategy: The custom horizontal lines provide reference points for potential breakout levels, with alerts helping traders act in real-time.
Support and Resistance: The plotted lines can represent predefined support or resistance levels, allowing traders to plan their entries and exits effectively.
The indicator gives a structured way to visualize price movements, highlight important price levels, and react quickly with alerts when the price crosses those levels.
Deshmukh TVWAP (Multi-Timeframe)The TVWAP is an indicator that calculates the average price of an asset over a specified period, but instead of giving equal weight to each price during the period, it gives more weight to the later time periods within the trading session. It is essentially the running average of the price as time progresses.
Time-Weighted Calculation: Each data point (close price) gets a weight based on how much time has passed since the start of the session. The more time that has passed, the more "weight" is given to that price point.
Session-Based Calculation: The TVWAP resets at the start of each trading session (9:15 AM IST) and stops calculating after the session ends (3:30 PM IST). This ensures that the indicator only reflects intraday price movements during the active market hours.
Working of the Indicator in Pine Script
Session Timing:
The session runs from 9:15 AM to 3:30 PM IST, which is the standard market session for the Indian stock market. The script tracks whether the current time is within this session.
At the start of the session, the script resets the calculations.
Time-Weighted Average Price Calculation:
Each time a new price data (close price) comes in, the script adds the closing price to a cumulative sum (cumulativePriceSum).
It also counts how many time intervals (bars) have passed since the session started using cumulativeCount.
The TVWAP value is updated in real-time by dividing the cumulative price sum by the number of bars that have passed (cumulativePriceSum / cumulativeCount).
Buy and Sell Signals:
The TVWAP can act as a dynamic support/resistance level:
Buy Signal: When the price is below the TVWAP line, the script plots a green "Buy" signal below the bar.
Sell Signal: When the price is above the TVWAP line, the script plots a red "Sell" signal above the bar.
The logic behind this is simple: if the price is below TVWAP, it might be undervalued, and if it's above, it could be overvalued, making it a good time to sell.
Plotting TVWAP:
The TVWAP line is plotted in blue on the chart to provide a visual representation of the time-weighted average price throughout the session.
It updates with each price tick, helping traders identify trends or reversals during the day.
Key Components and How They Work
Session Timing (sessionStartTime and sessionEndTime):
These are used to check if the current time is within the trading session. The TVWAP only calculates the average during active market hours (9:15 AM to 3:30 PM IST).
Cumulative Calculation:
The variable cumulativePriceSum accumulates the sum of closing prices during the session.
The variable cumulativeCount counts the number of time periods that have elapsed (bars, or ticks in the case of minute charts).
TVWAP Calculation:
The TVWAP is calculated by dividing the cumulative sum of the closing prices by the cumulative count. This gives a time-weighted average for the price.
Plotting and Signals:
The TVWAP value is plotted as a blue line.
Buy Signals (green) are generated when the price is below the TVWAP line.
Sell Signals (red) are generated when the price is above the TVWAP line.
Use Cases of TVWAP
Intraday Trading: TVWAP is particularly useful for intraday traders because it adjusts in real-time based on the average price movements throughout the session.
Scalping: For scalpers, TVWAP acts as a dynamic reference point for entering or exiting trades. It helps in identifying short-term overbought or oversold conditions.
Trend Confirmation: A rising TVWAP suggests a bullish trend, while a falling TVWAP suggests a bearish trend. Traders can use it to confirm the direction of the trend before taking trades.
Support/Resistance: The TVWAP can also act as a dynamic level of support or resistance. Prices below TVWAP are often considered to be in a support zone, while prices above are considered resistance.
Advantages of TVWAP
Time-Weighted: Unlike traditional moving averages (SMA or EMA), TVWAP focuses on time rather than price or volume, which gives more relevance to later price points in the session.
Adaptability: It can be used across various timeframes, such as 3 minutes, 5 minutes, 15 minutes, etc., making it versatile for both scalping and intraday strategies.
Actionable Signals: With clear buy/sell signals, TVWAP simplifies decision-making for traders and helps reduce noise.
Limitations of TVWAP
Intraday Only: TVWAP is a day-specific indicator, so it resets each session. It cannot be used across multiple sessions (like VWAP).
Doesn't Account for Volume: Unlike VWAP, which accounts for volume, TVWAP only considers time. This means it may not always be as reliable in extremely low or high-volume conditions.
Conclusion
The TVWAP indicator provides a time-weighted view of price action, which is especially useful for traders looking for a more time-sensitive benchmark to track price movements during the trading day. By working across all timeframes and providing actionable buy and sell signals, it offers a dynamic tool for scalping, intraday trading, and trend analysis. The ability to visualize price relative to TVWAP can significantly enhance decision-making, especially in fast-moving markets.
Trend & Volume Dynamics Indicator (Color identifying the Trend)Benefits
1. Trend Identification:
o The script calculates a 20-period Weighted Moving Average (WMA) of the closing prices. This helps in smoothing out price data to identify the underlying trend.
o The color of the WMA line changes based on the price position relative to the WMA:
Green: When the current price is above the WMA, indicating a potential uptrend.
Red: When the current price is below the WMA, indicating a potential downtrend.
Blue: When the price is exactly at the WMA, indicating no clear trend.
2. Volume Dynamics:
o The script also plots the volume with a color-coding mechanism:
Green: When the current volume is higher than the previous period's volume, indicating increasing trading activity.
Red: When the current volume is lower than the previous period's volume, indicating decreasing trading activity.
o The volume bars are plotted with 90% transparency, making them less visually dominant but still informative.
Usage
• Overlay: The indicator is set to overlay=true, meaning it will be plotted directly on the price chart, allowing users to see the WMA and volume dynamics in the context of the price movements.
• WMA Length: The length of the WMA is set to 20 periods, which is a common setting for short to medium-term trend analysis.
• Visual Cues: The color changes in both the WMA and volume bars provide immediate visual cues about the trend and volume dynamics, helping traders make quicker decisions.
Detailed Explanation of the Script
1. Indicator Declaration:
o Declares the indicator with a descriptive name and specifies that it should be overlaid on the price chart.
2. WMA Calculation:
o Defines the length of the WMA and calculates it using the closing prices.
3. Plotting the WMA:
o Plots the WMA with full brightness (0 transparency).
4. Color-Coding the WMA:
o Changes the color of the WMA line based on the price's position relative to the WMA.
5. Volume Indicator:
o Plots the volume bars with color-coding based on the volume change from the previous period and with 90% transparency.
Conclusion
One of the most best combinations of Volume and Moving average and works on any given timeframe and charts
HMM Regime IndicatorHMM Regime Indicator
Overview:
The HMM Regime Indicator is designed to help traders identify market regimes by analyzing trend strength, momentum, and price deviation. It uses a combination of the Average Directional Index (ADX), Relative Strength Index (RSI), and Commodity Channel Index (CCI) to classify market conditions into three distinct regimes: Bullish, Bearish, and Sideways.
Key Features:
ADX (Average Directional Index): Measures the strength of a trend. A high ADX value indicates a strong trend, while a low value suggests a weak or non-existent trend.
RSI (Relative Strength Index): Identifies overbought or oversold conditions. An RSI above 70 typically indicates overbought conditions, while an RSI below 30 suggests oversold conditions.
CCI (Commodity Channel Index): Evaluates the price deviation from its average. High CCI values indicate that prices are well above their average, while low values suggest prices are below their average.
Regime Detection:
Bullish Regime: Identified when the ADX indicates a strong trend, and both RSI and CCI suggest overbought conditions. This regime is marked with a green background on the chart.
Bearish Regime: Detected when the ADX shows a strong trend, and both RSI and CCI indicate oversold conditions. This regime is highlighted with a red background.
Sideways Regime: Occurs when neither bullish nor bearish conditions are met, suggesting a lack of strong directional movement. This regime is shown with a blue background.
Usage:
This indicator is useful for traders looking to understand the current market environment and adjust their strategies accordingly. By identifying the prevailing market regime, traders can make more informed decisions about entering or exiting trades.
Customization:
Users can adjust the input parameters for ADX, RSI, and CCI to better fit their trading style and the specific asset being analyzed. The default settings are optimized for general use but can be tailored to suit individual preferences.
RHR_CANDLELibrary "RHR_CANDLE"
Library for Expansion Contraction Indicator, a zero-lag dual perspective indicator based on Jake Bernstein’s principles of Moving Average Channel system.
calc(shortLookback, longLookback)
Calculates Expansion Contraction values.
Parameters:
shortLookback (int) : Integer for the short lookback calculation, defaults to 8
longLookback (int) : Integer for the long lookback calculation, defaults to 32
@return Returns array of Expansion Contraction values
stdevCalc(positiveShort, negativeShort, positiveLong, negativeLong, stdevLookback)
Calculates standard deviation lines based on Expansion Contraction Long and Short values.
Parameters:
positiveShort (float) : Float for the positive short XC value from calculation
negativeShort (float) : Float for the negative short XC value from calculation
positiveLong (float) : Float for the positive long XC value from calculation
negativeLong (float) : Float for the negative long XC value from calculation
stdevLookback (int) : Integer for the standard deviation lookback, defaults to 500
@return Returns array of standard deviation values
trend(positiveShort, negativeShort, positiveLong, negativeLong)
Determines if trend is strong or weak based on Expansion Contraction values.
Parameters:
positiveShort (float) : Float for the positive short XC value from calculation
negativeShort (float) : Float for the negative short XC value from calculation
positiveLong (float) : Float for the positive long XC value from calculation
negativeLong (float) : Float for the negative long XC value from calculation
@return Returns array of boolean values indicating strength or weakness of trend
Bearish BreakerDescription:
The Bearish Breaker is designed to detect significant bearish candles that meet specific customizable conditions, allowing traders to easily identify potential sell signals or strong downtrends. This indicator highlights bearish candles based on size, close position within the candle's range, and other specific criteria, with options to plot Fibonacci levels, a stop loss line, and dollar loss estimation.
Key Features:
1. Customizable Candle Highlighting Conditions:
Highlights candles that are bearish and whose body is greater than a user-defined multiple of the average candle body size over a specified period.
2.Checks if the candle’s close is within a customizable percentage from the bottom of the candle’s range (default is 35%).
3. Ensures the close is lower than the lows of the previous two candles.
Visual Markings:
1. A plus sign appears below large bearish candles that meet the highlighting criteria.
2. Optionally plots a line at the low of the previous candle, labeled as "FVG" (Fair Value Gap).
3. Fibonacci Levels:
Plots 61.8% and 50% Fibonacci levels from the low to high of the highlighted candle.
4. Provides options to show/hide labels and adjust line colors.
5. Shaded Area:
Fills the area between the 50% and 61.8% levels with customizable color and transparency.
Stop Loss and Dollar Calculation:
1. Calculates a stop loss level, set a user-defined number of ticks above the high of the highlighted candle.
2. Displays a label with the potential dollar loss from the "FVG" to the stop loss line, using a specified dollar value per tick.
How To Use
1. Highlight Conditions: Adjust parameters like the average body length, threshold multiplier, and close percentage to fine-tune the bearish candle detection. typically I like to use the 4-6 body length with a 1.5 multiplier
2. Visual Elements: Toggle labels, colors, and transparency of Fibonacci and FVG lines, allowing you to customize the display for clarity.
3. Risk Management: Set the dollar value per tick and stop loss distance (in ticks) to display potential risk for your specific instrument , for example dollar per tick on NQ is $5 , ES is $12.50, CL is $10
4. Alerts:
An alert can be set to trigger each time a large bearish candle forms and meets all conditions, helping you stay notified of potential bearish momentum shifts.
5. Parameters:
Threshold Multiplier: Adjusts the size threshold for highlighting a bearish candle.
Close Percent in Range: Sets how close to the bottom of the candle’s range the close must be (0-100%). I like the candle to close in the lower 75 percent of the candle.
6. Stop Loss Ticks Above High: Controls how far above the high of the highlighted candle to place the stop loss.
7. Dollar Value per Tick: Calculates potential dollar loss between the FVG level and stop loss based on the asset’s tick value.
8. To trade this setup I like to wait for the first 1-2 candles after the highlighted breaker candle to pull back into the shaded area for a short position and target the low of the breaker candle or a 2-1 risk to reward.
Ideal For:
This indicator is ideal for traders looking to identify strong bearish momentum, manage risk visually, and use Fibonacci and fair value gaps on large bearish candles as potential areas for short entries with suggested stop loss areas and target profits.
Disclaimer: This indicator is for educational and informational purposes only and should not be used as a sole trading strategy. Always perform your own analysis before making trading decisions.
Last Freemans Ver1This script is a technical indicator for TradingView that combines three popular tools for analyzing price movements:
Relative Strength Index (RSI): This measures the momentum of recent price changes and indicates potential overbought or oversold conditions. The script allows you to adjust the RSI length (default 14) and define overbought (default 70) and oversold (default 30) levels.
Moving Average Convergence Divergence (MACD): This indicator helps identify trend direction and potential turning points. It uses two moving averages (fast and slow) and a signal line. The script lets you customize the lengths of the MACD lines (fast: 12, slow: 26, signal: 9).
Exponential Moving Average (EMA): This is a smoothing indicator used to identify the underlying trend by filtering out price noise. You can adjust the EMA length (default 200) in the script.
Additionally, the script generates Buy/Sell signals based on the following conditions:
Buy Signal:
MACD line crosses above the signal line (indicating a potential uptrend).
RSI is below the oversold level (suggesting room for price increase).
Closing price is below the EMA (potentially indicating a price pullback before an upswing).
Sell Signal:
MACD line crosses below the signal line (indicating a potential downtrend).
RSI is above the overbought level (suggesting potential for a price decrease).
Closing price is above the EMA (potentially indicating a price breakout before a decline).
Visualization:
The script plots the following on the chart:
RSI line (blue) with overbought and oversold levels as dashed lines (red and green, respectively).
MACD line (red) and signal line (blue).
EMA line (orange).
Green triangle up (below the bar) for Buy signals.
Red triangle down (above the bar) for Sell signals.
Important Note:
This script provides trading signals based on technical indicators, but keep in mind that these are not guaranteed predictions of future price movements. Always conduct your own research and consider other factors before making trading decisions.
BGL - Bitcoin Global Liquidity Indicator [Da_Prof]This indicator takes global liquidity and shifts it forward by a set number of days. It can be used for any asset, but it is by default set for Bitcoin (BTC). The shift forward allows potential future prediction of BTC trends, especially uptrends. While not perfect, the current shift of 72 days seems to be best for the current cycle.
Sixteen currencies are used to calculate global liquidity.
Renko Live Price Simulation-AYNETHow It Works:
Inputs:
Box Size (box_size): The size of a Renko brick (in price units).
Candle and Wick Colors: Users can customize colors for up and down candles and toggle wicks on or off.
Logic:
The script tracks the renko_open, renko_close, renko_high, and renko_low variables to simulate the formation of Renko bricks.
A new Renko brick is formed when the price moves up or down by the specified box size.
Candle Plotting:
The plotcandle function is used to draw the simulated Renko bricks on the chart.
Wicks are optional and controlled via the show_wicks input.
Visual Guides:
Two lines represent the thresholds for forming the next up or down Renko brick.
Features:
Real-Time Updates:
Bricks dynamically update as the live price moves.
Customizable Parameters:
Box size, candle colors, and wicks can be tailored to user preferences.
Overlay on Regular Chart:
The Renko simulation overlays the existing candlestick chart, providing context for real-time price action.
Threshold Levels:
Visual guides show how far the current price is from forming the next Renko brick.
Usage Instructions:
Copy and paste the script into the Pine Script editor in TradingView.
Customize the box size and colors to your preference.
Apply the indicator to your chart to visualize the Renko simulation in real time.
Applications:
Trend Analysis:
Renko bricks simplify price trends by filtering out minor fluctuations.
Entry/Exit Points:
Use Renko bricks as potential trade triggers when new bricks form.
Volatility Visualization:
The frequency of brick formation reflects the asset's volatility.
This code provides a live Renko simulation overlay that can be further customized based on user needs. Let me know if you'd like additional features, such as alerts or enhanced visualizations! 😊
Comprehensive Time Chain Indicator - AYNETFeatures and Enhancements
Dynamic Timeframe Handling:
The script monitors new intervals of a user-defined timeframe (e.g., daily, weekly, monthly).
Flexible interval selection allows skipping intermediate time periods (e.g., every 2 days).
Custom Marker Placement:
Markers can be placed at:
High, Low, or Close prices of the bar.
A custom offset above or below the close price.
Special Highlights:
Automatically detects the start of a week (Monday) and the start of a month.
Highlights these periods with a different marker color.
Connecting Lines:
Markers are connected with lines to visually link the events.
Line properties (color, width) are fully customizable.
Dynamic Labels:
Optional labels display the timestamp of the event, formatted as per user preferences (e.g., yyyy-MM-dd HH:mm).
How It Works:
Timeframe Event Detection:
The is_new_interval flag identifies when a new interval begins in the selected timeframe.
Special flags (is_new_week, is_new_month) detect key calendar periods.
Dynamic Marker Drawing:
Markers are drawn using label.new at the specified price levels.
Colors dynamically adjust based on the type of event (interval vs. special highlight).
Connecting Lines:
The script dynamically connects markers with line.new, creating a time chain.
Previous lines are updated for styling consistency.
Customization Options:
Timeframe (main_timeframe):
Adjust the timeframe for detecting new intervals, such as daily, weekly, or hourly.
Interval (interval):
Skip intermediate events (e.g., draw a marker every 2 days).
Visualization:
Enable or disable markers and labels independently.
Customize colors, line width, and marker positions.
Special Periods:
Highlight the start of a week or month with distinct markers.
Applications:
Event Tracking:
Highlight and connect key time intervals for easier analysis of patterns or trends.
Custom Time Chains:
Visualize periodic data, such as specific trading hours or cycles.
Market Session Analysis:
Highlight market opens, closes, or other critical time-based events.
Usage Instructions:
Copy and paste the code into the Pine Script editor on TradingView.
Adjust the input settings for your desired timeframe, visualization preferences, and special highlights.
Apply the script to a chart to see the time chain visualized.
This implementation provides robust functionality while remaining easy to customize. Let me know if further enhancements are required! 😊
Enhanced Trading Alerts# Enhanced Multi-Symbol EMA Trading System with Smart Alerts
## 📊 Overview
A powerful multi-symbol trading system that monitors up to 6 symbols simultaneously for high-probability trading setups using advanced EMA crossover strategies, enhanced with volume confirmation and RSI filters. Perfect for swing traders and position traders focusing on quality tech stocks.
## 🎯 Key Features
- **Multi-Symbol Monitoring**: Simultaneously tracks 6 different symbols
- **Advanced EMA Strategy**: Uses dual EMA system (320 & 820 periods) for trend confirmation
- **Volume Validation**: Confirms signals with volume surge analysis
- **RSI Filter**: Adds momentum confirmation to avoid false signals
- **Smart Risk Management**: Automatic stop-loss and take-profit calculations
- **Detailed Alerts**: Comprehensive alert messages with key price levels
## 📈 Trading Signals
### Buy Signals Generated When:
- Price crosses above the slow EMA (820)
- Fast EMA (320) confirms the trend
- RSI is in optimal range (not overbought)
- Volume surge confirms the movement
- Risk levels automatically calculated
### Sell Signals Generated When:
- Price crosses below the slow EMA (820)
- Fast EMA (320) confirms the downtrend
- RSI confirms momentum shift
- Volume surge validates the movement
## ⚙️ Customizable Parameters
- **EMA Lengths**: Adjust fast and slow EMA periods
- **Volume Threshold**: Set minimum volume surge multiplier
- **RSI Settings**: Customize overbought/oversold levels
- **Risk Management**: Adjustable stop-loss and take-profit percentages
- **Symbol Selection**: Choose any 6 symbols to monitor
## 🎨 Visual Elements
- Blue line: Fast EMA (320)
- Red line: Slow EMA (820)
- Purple line: RSI indicator
- Clear visual representation of trend changes
## 📱 Smart Alerts
Detailed alert messages include:
- Symbol name and signal type
- Current price level
- RSI value
- Stop-loss price
- Take-profit target
- Volume surge multiplier
## 💡 Best Practices
1. **Timeframe Selection**:
- Best suited for 1H, 4H, or Daily timeframes
- Can be adapted for swing or position trading
2. **Risk Management**:
- Use suggested stop-loss levels
- Follow take-profit targets
- Consider volume confirmation strength
3. **Multiple Chart Setup**:
- Create multiple instances for more symbols
- Group correlated assets together
- Use different alert sounds for different setups
## 🎓 Usage Tips
- Monitor strongest tech stocks for best results
- Combine with market sentiment analysis
- Use volume surge as quality filter
- Wait for all conditions to align before trading
- Consider overall market conditions
## ⚠️ Risk Warning
This indicator is for informational purposes only. Always conduct your own analysis and consider your risk tolerance before trading. Past performance does not guarantee future results.
## 📌 Version History
- v1.0: Initial release with multi-symbol support
- v1.1: Added volume surge confirmation
- v1.2: Enhanced alert system with risk levels
- v1.3: Added RSI filter and improved signal quality
## 🔄 Regular Updates
Subscribe to this script for regular updates and improvements. Feel free to suggest features in the comments section.
## 📗 Default Symbols
- TSLA (Tesla)
- NVDA (NVIDIA)
- AVGO (Broadcom)
- TSM (Taiwan Semiconductor)
- META (Meta Platforms)
- AMZN (Amazon)
You can customize these symbols to match your trading preferences.
Good luck trading! 🍀
Time Change Indicator-AYNETDetailed Scientific Explanation of the Time Change Indicator Code
This Pine Script code implements a financial indicator designed to measure and visualize the percentage change in the closing price of an asset over a specified timeframe. It uses historical data to calculate changes and displays them as a histogram for intuitive analysis. Below is a comprehensive scientific breakdown of the code:
1. User Inputs
The script begins by defining user-configurable parameters, enabling flexibility in analysis:
timeframe: The user selects the timeframe for measuring price changes (e.g., 1 hour, 1 day). This determines the granularity of the analysis.
positive_color and negative_color: Users choose the colors for positive and negative changes, enhancing visual interpretation.
2. Data Retrieval
The script employs request.security to fetch closing price data (close) for the specified timeframe. This function ensures that the indicator adapts to different timeframes, providing consistent results regardless of the chart's base timeframe.
Current Closing Price (current_close):
current_close
=
request.security(syminfo.tickerid, timeframe, close)
current_close=request.security(syminfo.tickerid, timeframe, close)
Retrieves the closing price for the defined timeframe.
Previous Closing Price (prev_close): The script uses a variable (prev_close) to store the previous closing price. This variable is updated dynamically as new data is processed.
3. Price Change Calculation
The script calculates both the absolute and percentage change in closing price:
Absolute Price Change (price_change):
price_change
=
current_close
−
prev_close
price_change=current_close−prev_close
Measures the difference between the current and previous closing prices.
Percentage Change (percent_change):
percent_change
=
price_change
prev_close
×
100
percent_change=
prev_close
price_change
×100
Normalizes the change relative to the previous closing price, making it easier to compare changes across different assets or timeframes.
4. Conditional Logic for Visualization
The script uses a conditional statement to determine the color of each histogram bar:
Positive Change: If price_change > 0, the bar is assigned the user-defined positive_color.
Negative Change: If price_change < 0, the bar is assigned the negative_color.
This differentiation provides a clear visual cue for understanding price movement direction.
5. Visualization
The script visualizes the percentage change using a histogram and enhances the chart with dynamic labels:
Histogram (plot.style_histogram):
Each bar represents the percentage change for a given timeframe.
Bars above the zero line indicate positive changes, while bars below the zero line indicate negative changes.
Zero Line (hline(0)): A reference line at zero provides a baseline for interpreting changes.
Dynamic Labels (label.new):
Each bar is annotated with its exact percentage change value.
The label's position and color correspond to the bar, improving clarity.
6. Algorithmic Flow
Data Fetching: Retrieve the current and previous closing prices for the specified timeframe.
Change Calculation: Compute the absolute and percentage changes between the two prices.
Bar Coloring: Determine the color of the histogram bar based on the change's direction.
Plotting: Visualize the changes as a histogram and add labels for precise data representation.
7. Applications
This indicator has several practical applications in financial analysis:
Volatility Analysis: By visualizing percentage changes, traders can assess the volatility of an asset over specific timeframes.
Trend Identification: Positive and negative bars highlight periods of upward or downward momentum.
Cross-Asset Comparison: Normalized percentage changes enable the comparison of price movements across different assets, regardless of their nominal values.
Market Sentiment: Persistent positive or negative changes may indicate prevailing bullish or bearish sentiment.
8. Scientific Relevance
This script applies fundamental principles of data visualization and time-series analysis:
Statistical Normalization: Percentage change provides a scale-invariant metric for comparing price movements.
Dynamic Data Processing: By updating the prev_close variable with real-time data, the script adapts to new market conditions.
Visual Communication: The use of color and labels improves the interpretability of quantitative data.
Conclusion
This indicator combines advanced Pine Script functions with robust financial analysis techniques to create an effective tool for evaluating price changes. It is highly adaptable, providing users with the ability to tailor the analysis to their specific needs. If additional features, such as smoothing or multi-timeframe analysis, are required, the code can be further extended.
