EMAs CrossThis script generates a line that changes color when evaluating the values and intersections of the 7-, 14-, and 42-day exponential averages, indicating possible entry and exit points.
In general, yellow indicates the beginning of an uptrend, green confirms an uptrend, and brown indicates a downtrend.
Using this script together with the RSI can help you make decisions about the best times to enter and exit positions.
The script was created to generate an indicator in a separate window from the main chart, but adding this indicator to the main window can help you visualize and interpret market movements.
Forecasting
Crypto Value RainbowThe best way to value Crypto value is comparing Crypto price against the available money supply circulating in the economy. There are 3 different 4 different type of money supply M0/M1/M2/M3 which denotes the level of money printed by central government to the final credit lend out to the economy via fractional banking system. This rainbow valuation measures the relative Crypto price against the M0/M1/M2/M3 from most popular currency that account for more than 75% of money supply in the world.
CV = US MS + EU MS + CN MS + JP MS + UK MS
CV = Crypto Value
MS = Money Supply
This can only be applied to a few crypto currency:
- BTCUSD Bitcoin
- ETHUSD Ehereum
- BNBUSD BNB
- SOLUSD Solana
- XRPUSD XRP
- TONUSD Toncoin
- DOGEUSD Dogecoin
- TRXUSD Tron
- ADAUSD Cardano
- AVAXUSD Avalanche
The rainbow color is the multiplier for the total Crypto Value by 1x,2x,3x,...,10x
XAUUSD Weekly Gap Indicator (oberlunar)The XAUUSD Weekly Gap Indicator is a technical tool designed specifically for tracking weekly price gaps in the XAUUSD (gold) market. It identifies and visualizes the price difference between the Friday close and the Monday open, providing valuable insights into market dynamics over the weekend.
Gap Detection:
Measures the price difference between Friday's closing price and Monday's opening price.
Highlights whether the gap is bullish (Monday opens above Friday’s close) or bearish (Monday opens below Friday’s close).
Visualization:
Draws a line or rectangle to connect the Friday close and the Monday open, clearly marking the gap on the chart.
Displays an indicator label with the gap value, often in pips or points, to quantify the gap size.
Color Coding:
Green: Bullish gap (positive price movement).
Red: Bearish gap (negative price movement).
Market Sentiment:
Large gaps can indicate significant market sentiment shifts due to weekend events, such as economic reports or geopolitical news.
Support and Resistance:
Weekly gaps often act as temporary support or resistance levels, as the market may attempt to revisit or "fill" the gap.
Trading Strategies:
Gap Filling: XAUUSD often tends to "fill" these gaps, providing trading opportunities.
Continuation or Reversal: The reaction to the gap can signal whether the trend is likely to continue or reverse.
Hosoda ProjectionsThis script, written in Pine Script v5, introduces a technical analysis tool called "Hosoda Projections." Inspired by Ichimoku Kinkō Hyō and wave-based forecasting methods, this indicator helps traders visualize potential future price levels using a combination of pivot detection and projected price movements. It offers a unique way to anticipate market dynamics and define potential targets, making it particularly useful for those who seek to combine historical price patterns with forward-looking strategies.
The script works by detecting key pivot points in the market using a customizable lookback period and then calculating a ZigZag pattern based on price fluctuations that exceed a specified percentage threshold. These pivots are used to identify three recent swing points, which serve as the foundation for projecting possible future price levels. Using these swings, the script generates levels that correspond to Fibonacci-based extensions and projections, such as 38.2%, 61.8%, 100%, 161.8%, and additional extensions like 261.8% and 361.8%. These levels are visualized on the chart as horizontal lines and labeled with their respective values for easy interpretation.
The primary advantage of the Hosoda Projections script is its ability to provide a structured approach to identifying potential price targets. By leveraging the natural rhythm of price movements, it offers insights into where the market might find support or resistance in the future. This can help traders refine their entry and exit points, manage risk more effectively, and gain a deeper understanding of market sentiment. Additionally, the dynamic nature of the projections adapts to new price data, ensuring the tool remains relevant across changing market conditions.
This script is particularly valuable for traders who appreciate the harmony between historical price action and predictive analysis. Whether you are trading forex, stocks, or cryptocurrencies, the Hosoda Projections tool can enhance your trading strategy by providing actionable and visually intuitive forecasts.
Volume HighlightVolume Highlight
Description:
This script helps users analyze trading volume by:
1. Highlighting the highest volume bars:
• Trading sessions with volume equal to or exceeding the highest value over the last 20 periods are displayed in purple.
• Other sessions are displayed in light gray.
2. Displaying the 20-period SMA (Simple Moving Average):
• A 20-period SMA line of the volume is included to track the general trend of trading volume.
Key Features:
• Color-coded Highlights:
• Quickly identify trading sessions with significant volume spikes.
• 20-Period SMA Line:
• Observe the overall trend of trading volume.
• Intuitive Volume Bars:
• Volume bars are clearly displayed for easy interpretation.
How to Use:
1. Add the script to your chart on TradingView.
2. Look at the color of the volume bars:
• Purple: Sessions with the highest trading volume in the past 20 periods.
• Light gray: Other sessions.
3. Use the 20-period SMA line to analyze volume trends.
Purpose:
• Analyze market momentum through trading volume.
• Support trading decisions by identifying significant volume spikes.
Illustration:
• A chart showing color-coded volume bars and the 20-period SMA line.
Naji's Price Change DetectorThis indicator detects when the price goes up or down by a customizable % and time. This allows the user to detect large changes in the market in order to try to catch the reversal.
This does not detect the reversal, you need to decide when to enter the trade yourself.
Key Features:
Customizable Settings:
Percent Change Threshold: You can change this in the settings panel (default = 4%).
Number of Bars to Check: Adjustable between 1 and any desired number of bars (default = 5).
Dynamic Calculation:
The script calculates the price change for every bar within the specified range.
Alerts:
Alerts are customized to reflect the chosen settings and will trigger only once per bar close.
Background Highlights:
Green: A price increase exceeding the threshold was detected.
Red: A price decrease exceeding the threshold was detected.
Bitcoin Cycle [BigBeluga]Bitcoin Cycle Indicator is designed exclusively for analyzing Bitcoin’s long-term market cycles, working only on the 1D BTC chart . This indicator provides an in-depth view of potential cycle tops and bottoms, assisting traders in identifying key phases in Bitcoin’s market evolution.
🔵 Key Features:
Heatmap Cycle Phases: The indicator colors each cycle from blue to red , reflecting Bitcoin’s market cycle progression. Cooler colors (blue/green) signal potential accumulation or early growth phases, while warmer colors (yellow/red) indicate maturation and potential top regions.
All-Time High (ATH) and Future ATH Projection: Tracks the current ATH in real-time, while applying a linear regression model to project a possible new ATH in the future. This projection aims to provide insights into the next major cycle peak for long-term strategy.
Dashboard Overview: Displays the current ATH, potential new ATH, and the percentage distance between them. This helps users assess how far the current price is from the projected target.
Top & Bottom Cycle Signals: Red down arrows mark significant price peaks, potentially indicating cycle tops. Up arrows, numbered sequentially (inside each cycle), denote possible bottom signals for strategic DCA (Dollar Cost Averaging) entries.
1D BTC Chart Only: Built solely for the 1D BTC timeframe. Switching to any other timeframe or asset will trigger a warning message: " BTC 1D Only ." This ensures accuracy in analyzing Bitcoin’s unique cyclical behavior.
🔵 When to Use:
Ideal for long-term Bitcoin investors and cycle analysts, the Bitcoin Cycle Indicator empowers users to:
Identify key accumulation and distribution phases.
Track Bitcoin’s cyclical highs and lows with visual heatmap cues.
Estimate future potential highs based on historical patterns.
Strategize long-term positions by monitoring cycle tops and possible accumulation zones.
By visualizing Bitcoin’s cycles with color-coded clarity and top/bottom markers, this indicator is an essential tool for any BTC analyst aiming to navigate market cycles effectively.
Dynamic Supply & Demand Zones- AYNETSummary of the Code: Dynamic Supply & Demand Zones
This Pine Script creates dynamic supply (resistance) and demand (support) zones on a chart by identifying the highest and lowest prices over a user-defined lookback period. It visualizes these zones with shaded regions and horizontal lines that dynamically adjust to price movements.
Key Features:
Dynamic Support Zone (Demand):
Calculated using the lowest price in the last lookback bars.
Creates a shaded region around this price, extended up and down by a user-defined zone width.
Horizontal lines clearly mark the top and bottom of the demand zone.
Dynamic Resistance Zone (Supply):
Calculated using the highest price in the last lookback bars.
Similarly, a shaded region and lines are drawn for this zone, representing supply.
Customizable Inputs:
lookback: Number of bars to calculate the highest and lowest prices.
zone_width: The buffer distance above/below the highest/lowest price to create the zone.
Colors: Separate color inputs for the fill and lines of support and resistance zones.
Dynamic Updates:
Both zones update automatically as new bars are added and the highest/lowest prices change.
Visual Representation:
The script uses plot to create shaded regions and line objects to draw horizontal boundaries.
How It Works:
Inputs:
The user provides a lookback period and zone_width.
Calculations:
Lowest price in the last lookback bars defines the support zone.
Highest price in the same period defines the resistance zone.
Plotting:
The zones are plotted with shaded regions and dynamic lines.
Use Case:
This indicator helps identify key price levels where supply (resistance) or demand (support) is likely to affect price movement.
Useful for traders who rely on support/resistance levels in their strategies.
Let me know if you'd like further enhancements or integrations! 😊
Dynamic Trend Lines-AYNETCode Summary: Dynamic Trend Lines
This code dynamically draws trend lines and labels based on swing highs and lows identified from historical price action.
Key Features
Swing Point Detection:
Uses the ta.pivothigh and ta.pivotlow functions to identify recent swing highs and swing lows based on a customizable lookback period.
Trend Lines:
Uptrend Line:
Draws a line connecting swing low points.
Colored in blue by default.
Downtrend Line:
Draws a line connecting swing high points.
Colored in red by default.
Lines dynamically adjust as new swing points are identified.
Labels:
Adds a circle-style label at each swing high and swing low.
Displays the price value of the swing point.
Labels have:
Green background for uptrends.
Red background for downtrends.
Customizable Inputs:
lookback: Sensitivity of swing point detection (higher value = fewer swings).
line_color_up and line_color_down: Colors for the trend lines.
label_bg_up and label_bg_down: Colors for the label backgrounds.
Auto Updates:
Trend lines and labels update dynamically as the chart progresses, ensuring they reflect the latest market conditions.
How It Works
Identify Swing Points:
Detects local highs and lows within the defined lookback period.
Draw Lines:
Uptrend lines are drawn from the most recent swing lows.
Downtrend lines are drawn from the most recent swing highs.
Add Labels:
Each swing point is labeled with its price value for easy reference.
Visual Output
Trend Lines:
Blue for uptrends, red for downtrends.
Labels:
Circular labels with price values:
Green for swing lows (uptrend points).
Red for swing highs (downtrend points).
Example Use Case
This script is useful for traders who want to:
Visually identify key trend lines based on swing highs and lows.
Understand the critical price points of market reversals.
Use labeled price points for informed trade decisions.
Let me know if you'd like any specific refinements! 😊
Quarterly Sine Wave with Moving Averages - AYNETDescription
Sine Wave:
The sine wave oscillates with a frequency determined by frequency.
Its amplitude (amplitude) and vertical offset (offset) are adjustable.
Moving Averages:
Includes options for different types of moving averages:
SMA (Simple Moving Average).
EMA (Exponential Moving Average).
WMA (Weighted Moving Average).
HMA (Hull Moving Average).
The user can choose the type (ma_type) and the length (ma_length) via inputs.
Horizontal Lines:
highest_hype and lowest_hype are horizontal levels drawn at the user-specified values.
Quarter Markers:
Vertical lines and labels (Q1, Q2, etc.) are drawn at the start of each quarter.
Customization Options
Moving Average Type:
Switch between SMA, EMA, WMA, and HMA using the dropdown menu.
Sine Wave Frequency:
Adjust the number of oscillations per year.
Amplitude and Offset:
Control the height and center position of the sine wave.
Moving Average Length:
Change the length for any selected moving average.
Output
This indicator plots:
A sine wave that oscillates smoothly over the year, divided into quarters.
A customizable moving average calculated based on the chosen price (e.g., close).
Horizontal lines for the highest and lowest hype levels.
Vertical lines and labels marking the start of each quarter.
Let me know if you need additional features! 😊
Rainbow MA- AYNETDescription
What it Does:
The Rainbow Indicator visualizes price action with a colorful "rainbow-like" effect.
It uses a moving average (SMA) and dynamically creates bands around it using standard deviation.
Features:
Seven bands are plotted, each corresponding to a different rainbow color (red to purple).
Each band is calculated using the moving average (ta.sma) and a smoothing multiplier (smooth) to control their spread.
User Inputs:
length: The length of the moving average (default: 14).
smooth: Controls the spacing between the bands (default: 0.5).
radius: Adjusts the size of the circular points (default: 3).
How it Works:
The bands are plotted above and below the moving average.
The offset for each band is calculated using standard deviation and a user-defined smoothing multiplier.
Plotting:
Each rainbow band is plotted individually using plot() with circular points (plot.style_circles).
Customization
You can modify the color palette, adjust the smoothing multiplier, or change the moving average length to suit your needs.
The number of bands can also be increased or decreased by adding/removing colors from the colors array and updating the loop.
If you have further questions or want to extend the indicator, let me know! 😊
Dynamic Support and Resistance -AYNETExplanation of the Code
Lookback Period:
The lookback input defines how many candles to consider when calculating the support (lowest low) and resistance (highest high).
Support and Resistance Calculation:
ta.highest(high, lookback) identifies the highest high over the last lookback candles.
ta.lowest(low, lookback) identifies the lowest low over the same period.
Dynamic Lines:
The line.new function creates yellow horizontal lines at the calculated support and resistance levels, extending them to the right.
Optional Plot:
plot is used to display the support and resistance levels as lines for visual clarity.
Customization:
You can adjust the lookback period and toggle the visibility of the lines via inputs.
How to Use This Code
Open the Pine Script Editor in TradingView.
Paste the above code into the editor.
Adjust the "Lookback Period for High/Low" to customize how the levels are calculated.
Enable or disable the support and resistance lines as needed.
This will create a chart similar to the one you provided, with horizontal yellow lines dynamically indicating the support and resistance levels. Let me know if you'd like any additional features or customizations!
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.
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.
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.
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! 😊
[AWC] Vector -AYNETThis Pine Script code is a custom indicator designed for TradingView. Its purpose is to visualize the opening and closing prices of a specific timeframe (e.g., weekly, daily, or monthly) by drawing lines between these price points whenever a new bar forms in the specified timeframe. Below is a detailed explanation from a scientific perspective:
1. Input Parameters
The code includes user-defined inputs to customize its functionality:
tf1: This input defines the timeframe (e.g., 'W' for weekly, 'D' for daily). It determines the periodicity for analyzing price data.
icol: This input specifies the color of the lines drawn on the chart. Users can select from predefined options such as black, red, or blue.
2. Color Assignment
A switch statement maps the user’s color selection (icol) to the corresponding color object in Pine Script. This mapping ensures that the drawn lines adhere to the user's preference.
3. New Bar Detection
The script uses the ta.change(time(tf1)) function to determine when a new bar forms in the specified timeframe (tf1):
ta.change checks if the timestamp of the current bar differs from the previous one within the selected timeframe.
If the value changes, it indicates that a new bar has formed, and further calculations are triggered.
4. Data Request
The script employs request.security to fetch price data from the specified timeframe:
o1: Retrieves the opening price of the previous bar.
c1: Calculates the average price (high, low, close) of the previous bar using the hlc3 formula.
These values represent the key price levels for visualizing the line.
5. Line Drawing
When a new bar is detected:
The script uses line.new to create a line connecting the previous bar's opening price (o1) and the closing price (c1).
The line’s properties are defined as follows:
x1, y1: The starting point corresponds to the opening price at the previous bar index.
x2, y2: The endpoint corresponds to the closing price at the current bar index.
color: Uses the user-defined color (col).
style: The line style is set to line.style_arrow_right.
Additionally, the lines are stored in an array (lines) for later reference, enabling potential modifications or deletions.
6. Visual Outcome
The script visually represents price movements over the specified timeframe:
Each line connects the opening and closing price of a completed bar in the given timeframe.
The lines are drawn dynamically, updating whenever a new bar forms.
Scientific Context
This script applies concepts of time series analysis and visualization in financial data:
Time Segmentation: By isolating specific timeframes (e.g., weekly), the script provides a focused analysis of price behavior.
Price Dynamics: Connecting opening and closing prices highlights key price transitions within each period.
User Customization: The inclusion of inputs allows for adaptable use, accommodating different analytical preferences.
Applications
Trend Analysis: Identifies how price evolves between opening and closing levels across periods.
Market Behavior Comparison: Facilitates the observation of patterns or anomalies in price transitions over time.
Technical Indicators: Serves as a supplementary tool for decision-making in trading strategies.
If further enhancements or customizations are needed, let me know! 😊
Star of David Drawing-AYNETExplanation of Code
Settings:
centerTime defines the center time for the star pattern, defaulting to January 1, 2023.
centerPrice is the center Y-axis level for positioning the star.
size controls the overall size of the star.
starColor and lineWidth allow customization of the color and thickness of the lines.
Utility Function:
toRadians converts degrees to radians, though it’s not directly used here, it might be useful for future adjustments to angles.
Star of David Drawing Function:
The drawStarOfDavid function calculates the position of each point on the star relative to the center coordinates (centerTime, centerY) and size.
The pattern has six key points that form two overlapping triangles, creating the Star of David pattern.
The time offsets (offset1 and offset2) determine the horizontal spread of the star, scaling according to size.
The line.new function is used to draw the star lines with the calculated coordinates, casting timestamps to int to comply with line.new requirements.
Star Rendering:
Finally, drawStarOfDavid is called to render the Star of David pattern on the chart based on the input parameters.
This code draws the Star of David on a chart at a specified time and price level, with customizable size, color, and line width. Adjust centerTime, centerPrice, and size as needed for different star placements on the chart.
Straddle Charts - Live
Description :
This indicator is designed to display live prices for both call and put options of a straddle strategy, helping traders visualize the real-time performance of their options positions. The indicator allows users to select the symbols for specific call and put options and fetches their prices on a 1-minute timeframe, ensuring updated information.
Key Features :
Live Call and Put Option Prices: View individual prices for both call and put options of the straddle, plotted separately.
Straddle Price Calculation: The total price of the straddle (sum of call and put) is displayed, allowing for easy monitoring of the straddle’s combined movement.
Customizable Inputs: Easily change the call and put option symbols directly from the settings.
Use this indicator to stay on top of your straddle's value and make informed trading decisions based on real-time data.
Holt-Winters Forecast BandsDescription:
The Holt-Winters Adaptive Bands indicator combines seasonal trend forecasting with adaptive volatility bands. It uses the Holt-Winters triple exponential smoothing model to project future price trends, while Nadaraya-Watson smoothed bands highlight dynamic support and resistance zones.
This indicator is ideal for traders seeking to predict future price movements and visualize potential market turning points. By focusing on broader seasonal and trend data, it provides insight into both short- and long-term market directions. It’s particularly effective for swing trading and medium-to-long-term trend analysis on timeframes like daily and 4-hour charts, although it can be adjusted for other timeframes.
Key Features:
Holt-Winters Forecast Line: The core of this indicator is the Holt-Winters model, which uses three components — level, trend, and seasonality — to project future prices. This model is widely used for time-series forecasting, and in this script, it provides a dynamic forecast line that predicts where price might move based on historical patterns.
Adaptive Volatility Bands: The shaded areas around the forecast line are based on Nadaraya-Watson smoothing of historical price data. These bands provide a visual representation of potential support and resistance levels, adapting to recent volatility in the market. The bands' fill colors (red for upper and green for lower) allow traders to identify potential reversal zones without cluttering the chart.
Dynamic Confidence Levels: The indicator adapts its forecast based on market volatility, using inputs such as average true range (ATR) and price deviations. This means that in high-volatility conditions, the bands may widen to account for increased price movements, helping traders gauge the current market environment.
How to Use:
Forecasting: Use the forecast line to gain insight into potential future price direction. This line provides a directional bias, helping traders anticipate whether the price may continue along a trend or reverse.
Support and Resistance Zones: The shaded bands act as dynamic support and resistance zones. When price enters the upper (red) band, it may be in an overbought area, while the lower (green) band may indicate oversold conditions. These bands adjust with volatility, so they reflect the current market conditions rather than fixed levels.
Timeframe Recommendations:
This indicator performs best on daily and 4-hour charts due to its reliance on trend and seasonality. It can be used on lower timeframes, but accuracy may vary due to increased price noise.
For traders looking to capture swing trades, the daily and 4-hour timeframes provide a balance of trend stability and signal reliability.
Adjustable Settings:
Alpha, Beta, and Gamma: These settings control the level, trend, and seasonality components of the forecast. Alpha is generally the most sensitive setting for adjusting responsiveness to recent price movements, while Beta and Gamma help fine-tune the trend and seasonal adjustments.
Band Smoothing and Deviation: These settings control the lookback period and width of the volatility bands, allowing users to customize how closely the bands follow price action.
Parameters:
Prediction Length: Sets the length of the forecast, determining how far into the future the prediction line extends.
Season Length: Defines the seasonality cycle. A setting of 14 is typical for bi-weekly cycles, but this can be adjusted based on observed market cycles.
Alpha, Beta, Gamma: These parameters adjust the Holt-Winters model's sensitivity to recent prices, trends, and seasonal patterns.
Band Smoothing: Determines the smoothing applied to the bands, making them either more reactive or smoother.
Ideal Use Cases:
Swing Trading and Trend Following: The Holt-Winters model is particularly suited for capturing larger market trends. Use the forecast line to determine trend direction and the bands to gauge support/resistance levels for potential entries or exits.
Identifying Reversal Zones: The adaptive bands act as dynamic overbought and oversold zones, giving traders potential reversal areas when price reaches these levels.
Important Notes:
No Buy/Sell Signals: This indicator does not produce direct buy or sell signals. It’s intended for visual trend analysis and support/resistance identification, leaving trade decisions to the user.
Not for High-Frequency Trading: Due to the nature of the Holt-Winters model, this indicator is optimized for higher timeframes like the daily and 4-hour charts. It may not be suitable for high-frequency or scalping strategies on very short timeframes.
Adjust for Volatility: If using the indicator on lower timeframes or more volatile assets, consider adjusting the band smoothing and prediction length settings for better responsiveness.
RSI-EMA Signal by stock shooter## Strategy Description: 200 EMA Crossover with RSI, Green/Red Candles, Volume, and Exit Conditions
This strategy combines several technical indicators to identify potential long and short entry opportunities in a trading instrument. Here's a breakdown of its components:
1. 200-period Exponential Moving Average (EMA):
* The 200-period EMA acts as a long-term trend indicator.
* The strategy looks for entries when the price is above (long) or below (short) the 200 EMA.
2. Relative Strength Index (RSI):
* The RSI measures the momentum of price movements and helps identify overbought and oversold conditions.
* The strategy looks for entries when the RSI is below 40 (oversold) for long positions and above 60 (overbought) for short positions.
3. Green/Red Candles:
* This indicator filters out potential entries based on the current candle's closing price relative to its opening price.
* The strategy only considers long entries on green candles (closing price higher than opening) and short entries on red candles (closing price lower than opening).
4. Volume:
* This indicator adds a volume filter to the entry conditions.
* The strategy only considers entries when the current candle's volume is higher than the average volume of the previous 20 candles, aiming for stronger signals.
Overall:
This strategy aims to capture long opportunities during potential uptrends and short opportunities during downtrends, based on a combination of price action, momentum, and volume confirmation.
Important Notes:
Backtesting is crucial to evaluate the historical performance of this strategy before deploying it with real capital.
Consider incorporating additional risk management techniques like stop-loss orders.
This strategy is just a starting point and can be further customized based on your trading goals and risk tolerance.
Direction Coefficient Indicator# Direction Coefficient Indicator with Advanced Volume & Volatility Adjustments
The Direction Coefficient Indicator represents an advanced technical analysis tool that combines price momentum analysis with sophisticated volume and volatility adjustments. This versatile indicator measures market direction while adapting to various trading conditions, making it valuable for both trend following and momentum trading strategies.
At its core, the indicator employs a unique approach to price analysis by establishing a dynamic reference period for calculations. It processes price data through an EMA smoothing mechanism to reduce market noise and presents results as percentage-based measurements, ensuring universal applicability across different markets and timeframes.
One of the indicator's standout features is its volume integration system. When enabled, this system implements volume-weighted calculations that provide enhanced accuracy during significant market moves while effectively reducing false signals during low-volume periods. This volume weighting mechanism proves particularly valuable in highly liquid markets where volume plays a crucial role in price movement validation.
The volatility adjustment feature sets this indicator apart from traditional momentum tools. By incorporating smart volatility normalization, the indicator adapts seamlessly to changing market conditions. This adjustment helps maintain consistent signals across different volatility regimes, preventing excessive noise during highly volatile periods while remaining sensitive enough during calmer market phases.
Direction change detection forms another crucial component of the indicator. The system continuously monitors momentum shifts and provides early warning signals for potential trend reversals. This feature helps traders avoid late exits from positions and offers valuable insights for potential market turning points. When the indicator detects significant changes in momentum, it displays a warning symbol (⚠) alongside its regular signals.
The visual presentation of the indicator utilizes an intuitive color-coded system. Green labels indicate positive momentum, while red labels signify negative momentum. The display system includes customizable label sizes and positions, allowing traders to adapt the visual elements to their specific chart setup and preferences. Label distance from candles, color schemes, and reference lines can all be adjusted to create an optimal visual experience.
For practical application, the indicator offers several parameter settings that traders can adjust. The time period parameters include adjustable lookback periods and EMA length, while advanced calculation options allow for enabling or disabling volume weighting and volatility adjustment features. These parameters can be fine-tuned based on specific trading timeframes and market conditions.
In trend following scenarios, traders can use the coefficient direction for trend confirmation while monitoring warning signals for potential exits. The volume weighting feature adds another layer of confirmation for trend strength. For momentum trading, strong coefficient readings can signal entry points, while warning signals help identify potential exit timing.
Risk management becomes more systematic with this indicator. Warning signals can guide stop loss placement, while the volatility adjustment feature assists in position sizing decisions. The volume weighting component helps traders evaluate the significance of price moves, contributing to more informed entry timing decisions.
The indicator performs optimally when traders start with default settings and gradually adjust parameters based on their specific needs. For longer-term trades, increasing the lookback period often provides more stable signals. In highly liquid markets, enabling volume weighting can enhance signal quality. The volatility adjustment feature proves particularly valuable during unstable market conditions.
The Direction Coefficient Indicator stands as a comprehensive solution for traders seeking a sophisticated yet practical approach to market analysis. By combining multiple analytical components into a single, customizable tool, it provides valuable insights while remaining accessible to traders of various experience levels.
For optimal results, traders should consider using this indicator in conjunction with other technical analysis tools while paying attention to its warning signals and volume-weighted insights. Regular parameter adjustment based on changing market conditions and specific trading styles will help maximize the indicator's effectiveness in various trading scenarios.
Indicateur de Coefficient Directeur
L'Indicateur de Coefficient Directeur représente un outil d'analyse technique avancé qui combine l'analyse de momentum des prix avec des ajustements sophistiqués de volume et de volatilité. Cet indicateur polyvalent mesure la direction du marché tout en s'adaptant à diverses conditions de trading, le rendant précieux tant pour le suivi de tendance que pour les stratégies de trading momentum.
À sa base, l'indicateur emploie une approche unique de l'analyse des prix en établissant une période de référence dynamique pour les calculs. Il traite les données de prix à travers un mécanisme de lissage EMA pour réduire le bruit du marché et présente les résultats sous forme de mesures en pourcentage, assurant une applicabilité universelle à travers différents marchés et temporalités.
L'une des caractéristiques distinctives de l'indicateur est son système d'intégration du volume. Lorsqu'il est activé, ce système met en œuvre des calculs pondérés par le volume qui fournissent une précision accrue pendant les mouvements significatifs du marché tout en réduisant efficacement les faux signaux pendant les périodes de faible volume. Ce mécanisme de pondération du volume s'avère particulièrement valuable dans les marchés très liquides où le volume joue un rôle crucial dans la validation des mouvements de prix.
La fonction d'ajustement de la volatilité distingue cet indicateur des outils de momentum traditionnels. En incorporant une normalisation intelligente de la volatilité, l'indicateur s'adapte parfaitement aux conditions changeantes du marché. Cet ajustement aide à maintenir des signaux cohérents à travers différents régimes de volatilité, empêchant le bruit excessif pendant les périodes très volatiles tout en restant suffisamment sensible pendant les phases de marché plus calmes.
La détection des changements de direction forme une autre composante cruciale de l'indicateur. Le système surveille continuellement les changements de momentum et fournit des signaux d'avertissement précoces pour les potentiels renversements de tendance. Cette fonctionnalité aide les traders à éviter les sorties tardives des positions et offre des aperçus précieux des potentiels points de retournement du marché. Lorsque l'indicateur détecte des changements significatifs de momentum, il affiche un symbole d'avertissement (⚠) à côté de ses signaux réguliers.
La présentation visuelle de l'indicateur utilise un système intuitif codé par couleurs. Les étiquettes vertes indiquent un momentum positif, tandis que les étiquettes rouges signifient un momentum négatif. Le système d'affichage inclut des tailles et positions d'étiquettes personnalisables, permettant aux traders d'adapter les éléments visuels à leur configuration spécifique de graphique et leurs préférences. La distance des étiquettes par rapport aux bougies, les schémas de couleurs et les lignes de référence peuvent tous être ajustés pour créer une expérience visuelle optimale.
Pour l'application pratique, l'indicateur offre plusieurs paramètres de réglage que les traders peuvent ajuster. Les paramètres de période temporelle incluent des périodes de référence ajustables et la longueur de l'EMA, tandis que les options de calcul avancées permettent d'activer ou de désactiver les fonctionnalités de pondération du volume et d'ajustement de la volatilité. Ces paramètres peuvent être affinés en fonction des temporalités de trading spécifiques et des conditions de marché.
Dans les scénarios de suivi de tendance, les traders peuvent utiliser la direction du coefficient pour la confirmation de tendance tout en surveillant les signaux d'avertissement pour les sorties potentielles. La fonction de pondération du volume ajoute une couche supplémentaire de confirmation pour la force de la tendance. Pour le trading momentum, des lectures fortes du coefficient peuvent signaler des points d'entrée, tandis que les signaux d'avertissement aident à identifier le timing potentiel de sortie.
La gestion du risque devient plus systématique avec cet indicateur. Les signaux d'avertissement peuvent guider le placement des stops loss, tandis que la fonction d'ajustement de la volatilité aide aux décisions de dimensionnement des positions. La composante de pondération du volume aide les traders à évaluer l'importance des mouvements de prix, contribuant à des décisions de timing d'entrée plus éclairées.
L'indicateur fonctionne de manière optimale lorsque les traders commencent avec les paramètres par défaut et ajustent progressivement les paramètres en fonction de leurs besoins spécifiques. Pour les trades à plus long terme, l'augmentation de la période de référence fournit souvent des signaux plus stables. Dans les marchés très liquides, l'activation de la pondération du volume peut améliorer la qualité des signaux. La fonction d'ajustement de la volatilité s'avère particulièrement précieuse pendant les conditions de marché instables.
L'Indicateur de Coefficient Directeur s'impose comme une solution complète pour les traders recherchant une approche sophistiquée mais pratique de l'analyse de marché. En combinant plusieurs composantes analytiques en un seul outil personnalisable, il fournit des aperçus précieux tout en restant accessible aux traders de différents niveaux d'expérience.
Pour des résultats optimaux, les traders devraient envisager d'utiliser cet indicateur en conjonction avec d'autres outils d'analyse technique tout en prêtant attention à ses signaux d'avertissement et ses aperçus pondérés par le volume. L'ajustement régulier des paramètres basé sur les conditions changeantes du marché et les styles de trading spécifiques aidera à maximiser l'efficacité de l'indicateur dans divers scénarios de trading.
Financial X-RayThe Financial X-Ray is an advanced indicator designed to provide a thorough analysis of a company's financial health and market performance. Its primary goal is to offer investors and analysts a quick yet comprehensive overview of a company's financial situation by combining various key financial ratios and metrics.
How It Works
Data Collection: The indicator automatically extracts a wide range of financial data for the company, covering aspects such as financial strength, profitability, valuation, growth, and operational efficiency.
Sector-Specific Normalization: A unique feature of this indicator is its ability to normalize metrics based on the company's industry sector. This approach allows for more relevant comparisons between companies within the same sector, taking into account industry-specific characteristics.
Standardized Scoring: Each metric is converted to a score on a scale of 0 to 10, facilitating easy comparison and rapid interpretation of results.
Multidimensional Analysis: The indicator doesn't focus on just one financial dimension but offers an overview by covering several crucial aspects of a company's performance.
Fair Value Calculation: Using financial data and market conditions, the indicator provides an estimate of the company's fair value, offering a reference point for assessing current valuation.
Visual Presentation: Results are displayed directly on the TradingView chart in a tabular format, allowing for quick and efficient reading of key information.
Advantages for Users
Time-Saving: Instead of manually collecting and analyzing numerous financial data points, users get an instant comprehensive overview.
Contextual Analysis: Sector-specific normalization allows for a better understanding of the company's performance relative to its peers.
Flexibility: Users can choose which metrics to display, customizing the analysis to their specific needs.
Objectivity: By relying on quantitative data and standardized calculations, the indicator offers an objective perspective on the company's financial health.
Decision Support: The fair value estimate and normalized scores provide valuable reference points for investment decision-making.
Customization and Evolution
One of the major strengths of this indicator is its open-source nature. Users can modify the code to adjust normalization methods, add new metrics, or adapt the display to their preferences. This flexibility allows the indicator to evolve and continuously improve through community contributions.
In summary, the Financial X-Ray is a powerful tool that combines automation, contextual analysis, and customization to provide investors with a clear and comprehensive view of companies' financial health, facilitating informed decision-making in financial markets.
This Financial X-Ray indicator is provided for informational and educational purposes only. It should not be considered as financial advice or a recommendation to buy or sell any security. The data and calculations used in this indicator may not be accurate or up-to-date. Users should always conduct their own research and consult with a qualified financial advisor before making any investment decisions. The creator of this indicator is not responsible for any losses or damages resulting from its use.
