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.
Forecasting
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! 😊
Advanced Range Filter-AynetKey Features
Range Sizing Methods:
Supports various calculation methods, including:
Points: Fixed numerical value.
Pips: Ideal for Forex pairs.
% of Price: Scales range dynamically based on price.
ATR: Volatility-based sizing using Average True Range.
Average Change: Original sizing method using average price change.
Standard Deviation: Measures price volatility.
Absolute: User-defined fixed range.
Filter Types:
Type 1: Original filtering logic.
Type 2: Alternative smoothing logic for more responsive outputs.
Smoothing:
Optional EMA smoothing applied to the filter values.
Dynamic Visuals:
Plots filtered price with upper/lower bands.
Colors bars based on trend direction (bullish, bearish, neutral).
Advanced Averaging:
Conditional EMA logic enables averaging only when the filter value changes.
Trend Output:
Exports trend information (1 for bullish, -1 for bearish) for use in other scripts.
Usage
Trend Identification:
Observe the filtered price line to identify trends while ignoring minor price noise.
Use the bar coloring scheme to visualize trends directly on the chart.
Dynamic Bands:
The upper and lower bands represent the price range that triggers filter movements.
Custom Alerts:
Set up alerts for trend changes by monitoring the trend variable.
Use in Other Scripts:
Import trend information (externalTrend) into custom strategies or other indicators.
Conclusion
This advanced Range Filter Indicator removes minor price action noise and highlights trends with precision. It’s highly customizable, offering flexibility in how ranges and filter values are calculated, with dynamic visualization to make trends clear and actionable. Perfect for traders who prefer clarity and noise reduction in price action analysis.
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! 😊
EYA - Long & ShortLong ve short sinyal indikatörü geçmişe yönelik destek ve direnç analizleri yapıp genel verileri toplayıp long short yönlü tahmin
Comprehensive Intraday Strategy ups Strategy give the buy and sell signal when +_ 1 % potential for upside and downside
Call and Put Signals with Alerts//@version=5
indicator("Call and Put Signals with Alerts", overlay=true)
// Input parameters for the RSI and Moving Averages
rsiLength = input.int(14, title="RSI Length")
rsiOverbought = input.int(70, title="RSI Overbought Level")
rsiOversold = input.int(30, title="RSI Oversold Level")
shortMaLength = input.int(50, title="Short MA Length")
longMaLength = input.int(200, title="Long MA Length")
// Calculate the RSI and Moving Averages
rsi = ta.rsi(close, rsiLength)
shortMa = ta.sma(close, shortMaLength)
longMa = ta.sma(close, longMaLength)
// Define the conditions for Call (Buy) and Put (Sell) signals
callCondition = (rsi < rsiOversold) and (shortMa > longMa) // RSI oversold and short MA above long MA (bullish)
putCondition = (rsi > rsiOverbought) and (shortMa < longMa) // RSI overbought and short MA below long MA (bearish)
// Plot Call and Put signals on the chart
plotshape(series=callCondition, location=location.belowbar, color=color.green, style=shape.labelup, title="Call Signal", text="CALL")
plotshape(series=putCondition, location=location.abovebar, color=color.red, style=shape.labeldown, title="Put Signal", text="PUT")
// Plot the Moving Averages for trend visualization
plot(shortMa, color=color.blue, title="Short MA")
plot(longMa, color=color.orange, title="Long MA")
// Alert conditions for Call and Put signals
alertcondition(callCondition, title="Call Alert", message="Call (Buy) Signal - RSI Oversold & Short MA > Long MA")
alertcondition(putCondition, title="Put Alert", message="Put (Sell) Signal - RSI Overbought & Short MA < Long MA")
Buy and Sell Signals Example//@version=5
indicator("Buy and Sell Signals Example", overlay=true)
// Input parameters for the moving averages and RSI
rsiLength = input.int(14, title="RSI Length")
rsiOverbought = input.int(70, title="RSI Overbought Level")
rsiOversold = input.int(30, title="RSI Oversold Level")
shortMaLength = input.int(50, title="Short MA Length")
longMaLength = input.int(200, title="Long MA Length")
// Calculate the RSI and moving averages
rsi = ta.rsi(close, rsiLength)
shortMa = ta.sma(close, shortMaLength)
longMa = ta.sma(close, longMaLength)
// Define Buy and Sell conditions
buyCondition = rsi < rsiOversold and shortMa > longMa // RSI is oversold and short MA is above long MA
sellCondition = rsi > rsiOverbought and shortMa < longMa // RSI is overbought and short MA is below long MA
// Plot Buy and Sell signals on the chart
plotshape(series=buyCondition, location=location.belowbar, color=color.green, style=shape.labelup, title="Buy Signal", text="BUY")
plotshape(series=sellCondition, location=location.abovebar, color=color.red, style=shape.labeldown, title="Sell Signal", text="SELL")
// Strategy logic for backtesting (optional)
strategy.entry("Buy", strategy.long, when=buyCondition)
strategy.exit("Sell", from_entry="Buy", when=sellCondition)
// Plotting moving averages for visual reference
plot(shortMa, color=color.blue, title="Short MA")
plot(longMa, color=color.orange, title="Long MA")
Advanced Scalping by VVSКак это работает:
• ATR оценивает рыночную волатильность. Чем выше ATR, тем шире будет стоп-лосс, что помогает учитывать высокую волатильность.
• Индикатор рисует линии стоп-лоссов в реальном времени на графике, что позволяет трейдеру видеть, где находится его уровень защиты от убытков.
Этот подход помогает адаптировать стоп-лоссы к текущей рыночной ситуации и улучшить управление рисками при скальпинге.
Combined RSI, MACD, and Stochastic with RSI-based MAGreat Script for Scalping and intra day Trading. It combines 3 great scripts into one
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! 😊
RSI Divergence StrategyRSI strategy based on bullish/bearish divergence.
Sends signal to open long and short positions according to divergence.
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! 😊
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.
