Enhanced Price Z-Score OscillatorThe Enhanced Price Z-Score Oscillator by tkarolak is a powerful tool that transforms raw price data into an easy-to-understand statistical visualization using Z-Score-derived candlesticks. Simply put, it shows how far prices stray from their average in terms of standard deviations (Z-Scores), helping traders identify when prices are unusually high (overbought) or unusually low (oversold).
The indicator’s default feature displays Z-Score Candlesticks, where each candle reflects the statistical “distance” of the open, high, low, and close prices from their average. This creates a visual map of market extremes and potential reversal points. For added flexibility, you can also switch to Z-Score line plots based on either Close prices or OHLC4 averages.
With clear threshold lines (±2σ and ±3σ) marking moderate and extreme price deviations, and color-coded zones to highlight overbought and oversold areas, the oscillator simplifies complex statistical concepts into actionable trading insights.
指標和策略
MTF Countdown with Direction - AynetIndicator Definition and Inputs:
pineCopyindicator('MTF Countdown with Direction - Aynet', overlay = true)
This code creates a Multiple Time Frame (MTF) countdown indicator with direction
The overlay = true parameter places the indicator on top of the price chart
Timeframe Options:
Users can choose to show/hide the following timeframes:
1 minute
5 minutes
15 minutes
30 minutes
1 hour
4 hours
Daily
Time Calculations:
pineCopyget_current_time()
Calculates the current time
Converts Unix timestamp to seconds
Calculates time since midnight
Returns time broken down into hours, minutes, and seconds
Countdown Calculation:
pineCopyget_period_countdown(period_seconds)
Calculates remaining time for each timeframe
Computes elapsed time in current period
Returns remaining time in hours, minutes, and seconds
Direction and Closing Price Calculation:
Separate functions for each timeframe (get_direction_and_close_1m(), get_direction_and_close_5m(), etc.)
Each function:
Gets current closing price
Compares with previous closing price
Determines direction (up: 1, down: -1, sideways: 0)
Returns direction and closing price
Table Creation and Updates:
Creates a table in the top right corner
Table consists of 4 columns:
Period (Timeframe)
Time Left (Remaining time)
Direction (Shown with arrows)
Close (Closing price)
Each row has a different background color
Direction arrows:
Green up arrow (▲): Price rising
Red down arrow (▼): Price falling
Gray line (―): Price sideways
Dynamic Data Structures:
pineCopyvar timeframes = array.new_int()
var timeframe_names = array.new_string()
var show_array = array.new_bool()
Uses dynamic arrays for timeframes
Adds selected timeframes to arrays on first run
Key Features:
Shows remaining time until period close
Displays price direction for each timeframe
Shows current closing prices
All information in a single, easy-to-read table
This indicator helps traders by providing a comprehensive view of:
When each timeframe will close
The direction of price movement
Current closing prices
across multiple timeframes in a single table, making it easier to track market movements across different time periods.
The color-coding and arrow system makes it visually intuitive to understand market direction at a glance, while the countdown timer helps with timing decisions.
Percentual Variation This script is an indicator for plotting percentage-based lines using the previous day's closing price. It is useful for traders who want to visualize support and resistance levels derived from predefined percentages. Here's what the script does:
Calculates percentage levels:
It uses the previous day's closing price to calculate two positive levels (above the close) and two negative levels (below the close) based on fixed percentages:
+0.25% and +0.50% (above the close).
-0.25% and -0.50% (below the close).
Plots the lines on the chart:
Draws four horizontal lines representing the calculated levels:
Green lines indicate levels above the closing price.
Red lines indicate levels below the closing price.
Displays labels on the chart:
Adds labels near the lines showing the corresponding percentage, such as "+0.25%", "+0.50%", "-0.25%", and "-0.50%".
This script provides a clear visual representation of key percentage-based levels, which can be used as potential entry, exit, or target points in trading strategies.
Inside/Outside Bar Direction Highlighter
Here’s a trading indicator in Pine Script (v6) that combines the essence of the Inside Bar, Outside Bar, and directional patterns inspired by TT3 Theory. This indicator highlights bars based on their classification as inside, outside, or directional and provides potential trade signals.
Inside Outside Indicator
Explanation:
Bar Classification:
Inside Bar: Current high is less than the previous high, and the low is greater than the previous low.
Outside Bar: Current high exceeds the previous high, and the low breaks below the previous low.
Up/Down Bars: Closing prices relative to the previous high/low.
Visual Highlights:
Bars are visually highlighted with colors for easy identification.
Trade Signals:
Long Signal: When the close crosses above the previous high and it's a directional up bar.
Short Signal: When the close crosses below the previous low and it's a directional down bar.
Customizable Inputs:
Colors for inside, outside, up, and down bars can be modified.
You can copy and paste this script into the Pine Editor on TradingView to see it in action. Adjust the logic to fit your trading strategy as needed.
You said:
summary of how to use this indicator without buy/sell signal
ChatGPT said:
ChatGPT
How to Use the Inside/Outside Bar Direction Highlighter Indicator (Without Buy/Sell Signals)
Understand the Bar Classifications:
Inside Bars: Highlighted in blue (default). These indicate periods of market consolidation. Look for potential breakouts in either direction.
Outside Bars: Highlighted in orange (default). These represent increased volatility, where both higher highs and lower lows are made. Watch for reversals or continuations based on broader trends.
Directional Up Bars: Highlighted in green (default). These occur when the current close is above the previous high, signaling bullish momentum.
Directional Down Bars: Highlighted in red (default). These occur when the current close is below the previous low, indicating bearish momentum.
Identify Key Patterns:
Use the highlighted bars to spot price action setups, such as:
Breakouts from inside bars.
Reversal signals following outside bars.
Continuation patterns when directional bars align with the trend.
Combine with Your Analysis:
Trend Analysis: Match bar classifications with trend direction on larger timeframes (e.g., daily, 4-hour).
Support/Resistance: Use inside and outside bars near key levels for confirmation or reversal signals.
Volume: Higher volume on directional bars strengthens the momentum signal.
Customize the Colors:
Adjust the bar highlight colors to fit your chart theme for better visibility.
No Automatic Signals:
This indicator doesn’t provide explicit buy/sell recommendations. Instead, use the visual highlights to make informed decisions based on your trading strategy.
By interpreting these bar patterns, you can better gauge market behavior and make more confident decisions without relying on preset signals.
Temporary Help Services Jobs - Trend Allocation StrategyThis strategy is designed to capitalize on the economic trends represented by the Temporary Help Services (TEMPHELPS) index, which is published by the Federal Reserve Economic Data (FRED). Temporary Help Services Jobs are often regarded as a leading indicator of labor market conditions, as changes in temporary employment levels frequently precede broader employment trends.
Methodology:
Data Source: The strategy uses the FRED dataset TEMPHELPS for monthly data on temporary help services.
Trend Definition:
Uptrend: When the current month's value is greater than the previous month's value.
Downtrend: When the current month's value is less than the previous month's value.
Entry Condition: A long position is opened when an uptrend is detected, provided no position is currently held.
Exit Condition: The long position is closed when a downtrend is detected.
Scientific Basis:
The TEMPHELPS index serves as a leading economic indicator, as noted in studies analyzing labor market cyclicality (e.g., Katz & Krueger, 1999). Temporary employment is often considered a proxy for broader economic conditions, particularly in predicting recessions or recoveries. Incorporating this index into trading strategies allows for aligning trades with potential macroeconomic shifts, as suggested by research on employment trends and market performance (Autor, 2001; Valetta & Bengali, 2013).
Usage:
This strategy is best suited for long-term investors or macroeconomic trend followers who wish to leverage labor market signals for equity or futures trading. It operates exclusively on end-of-month data, ensuring minimal transaction costs and noise.
Moving Average Crossover Strategy with Take Profit and Stop LossThe Moving Average Crossover Strategy is a popular trading technique that utilizes two moving averages (MAs) of different periods to identify potential buy and sell signals. By incorporating take profit and stop loss levels, traders can effectively manage their risk while maximizing potential returns. Here’s a detailed explanation of how this strategy works:
Overview of the Moving Average Crossover Strategy
Moving Averages:
A short-term moving average (e.g., 50-day MA) reacts more quickly to price changes, while a long-term moving average (e.g., 200-day MA) smooths out price fluctuations over a longer period.
The strategy generates trading signals based on the crossover of these two averages:
Buy Signal: When the short-term MA crosses above the long-term MA (often referred to as a "Golden Cross").
Sell Signal: When the short-term MA crosses below the long-term MA (known as a "Death Cross").
Implementing Take Profit and Stop Loss
1. Setting Take Profit Levels
Definition: A take profit order automatically closes a trade when it reaches a specified profit level.
Strategy:
Determine a realistic profit target based on historical price action, support and resistance levels, or a fixed risk-reward ratio (e.g., 2:1).
For instance, if you enter a buy position at $100, you might set a take profit at $110 if you anticipate that level will act as resistance.
2. Setting Stop Loss Levels
Definition: A stop loss order limits potential losses by closing a trade when the price reaches a specified level.
Strategy:
Place the stop loss just below the most recent swing low for buy orders or above the recent swing high for sell orders.
Alternatively, you can use a percentage-based method (e.g., 2-3% below the entry point) to define your stop loss.
For example, if you enter a buy position at $100 with a stop loss set at $95, your maximum loss would be limited to $5 per share.
Example of Using Moving Average Crossover with Take Profit and Stop Loss
Entry Signal:
You observe that the 50-day MA crosses above the 200-day MA at $100. You enter a buy position.
Setting Take Profit and Stop Loss:
You analyze historical price levels and set your take profit at $110.
You place your stop loss at $95 based on recent swing lows.
Trade Management:
If the price rises to $110, your take profit order is executed, securing your profit.
If the price falls to $95, your stop loss is triggered, limiting your losses.
Option Time ValueThis TradingView script calculates and visualizes the time value of an option (Call or Put) based on its market price and intrinsic value. The time value represents the premium paid for the option above its intrinsic value, and it is a key metric for analyzing the cost of holding an option.
This script is suitable for traders analyzing options on indices or stocks, such as the NIFTY 50, and supports both Call and Put options. By dynamically extracting the strike price and option type from the input symbol, it adapts seamlessly to the selected instrument.
Key Features:
Dynamic Instrument Selection:
Users can input the underlying asset (e.g., NSE:NIFTY) and the specific option instrument (e.g., NSE:NIFTY250327C24000 for a Call or NSE:NIFTY250327P24000 for a Put).
Automatic Option Type Detection:
The script detects whether the option is a Call or a Put by parsing the input symbol for the characters "C" (Call) or "P" (Put).
Dynamic Strike Price Extraction:
The strike price is dynamically extracted from the input option symbol, eliminating the need for hardcoding and reducing user errors.
Key Metrics Plotted:
Time Value: The premium paid above the intrinsic value, plotted in blue.
Intrinsic Value: The calculated intrinsic value of the option, plotted in green.
Seamless Integration:
Designed for ease of use and integration into existing TradingView setups.
Automatically adjusts to the timeframe and pricing data of the selected instruments.
Fair Value Gap DetectorHow this indicator works:
It detects two types of FVGs:
Bullish FVG: Occurs when the low of the current candle is higher than the high of the candle from 2 bars ago (creates an upward gap)
Bearish FVG: Occurs when the high of the current candle is lower than the low of the candle from 2 bars ago (creates a downward gap)
Features:
Allows users to toggle both bullish and bearish FVG detection independently
Customizable colors for both bullish (default green) and bearish (default red) FVGs
Visualizes FVGs using:
Boxes that highlight the gap area (with 80% transparency)
Labels that mark each FVG ("Bull FVG" or "Bear FVG")
Visual representation:
Bullish FVGs are marked with green boxes and downward-pointing labels
Bearish FVGs are marked with red boxes and upward-pointing labels
This indicator can be useful for :
Identifying potential areas where price might return to
Finding potential support and resistance zones
Understanding market structure and momentum shifts
Bollinger Bubble BreakoutOverview:
This script leverages the principles of Bollinger Bands (BB), a popular tool for measuring volatility and identifying extreme price levels of overbought or oversold conditions. When the price closes outside the upper or lower bands, there is a strong probability that it will revert back inside the bands, typically in two steps:
First, towards the EMA 7 (fast exponential moving average).
Then, towards the SMA 20 (the middle line of the BB).
How It Works:
Outer BB Closes: When a candle closes beyond the upper or lower Bollinger Bands, it typically signals an extreme price extension (high volatility or impulsive movement).
Mean Reversion: Generally, the price tends to revert quickly inside the bands, with the first target being the EMA 7 and the second being the SMA 20. This behavior is based on the mean-reverting nature of Bollinger Bands, which act as dynamic price boundaries.
Alert Signal: The script highlights these closes and visually marks areas where potential reversals or technical corrections might occur.
Usage:
Ideal for traders aiming to exploit extreme moves for counter-trend trades or profit-taking opportunities.
Works best in volatile markets, but caution is advised during strong trends where prices can stay extended outside the bands.
Combine this tool with other indicators (such as RSI or MACD) to confirm signals.
Precautions:
The signals generated do not guarantee an immediate reversion. In strong trending markets, the price can "ride" the outer bands for several candles.
Strict risk management is advised: always use appropriate stop-loss levels based on your risk tolerance.
Practical Example:
When the price closes above the upper band:
Expect a correction towards the EMA 7 and then the SMA 20.
When the price closes below the lower band:
Look for a potential bounce towards the same targets.
Conclusion:
This script is designed to help traders identify opportunities in overbought or oversold conditions. However, it is not financial advice but rather an analytical tool to incorporate into your trading strategy.
Anchored GB TimeCustomizable indicator designed to track the number of hours elapsed since a user-defined starting point, such as the weekly market open. It highlights significant time intervals by checking the elapsed hour count against predefined GB Numbers and CE Numbers, offering precise insights for time-based trading strategies.
Custom Start Time:
Choose the day and hour when the counter resets, making it adaptable to different asset classes and market sessions.
Perfect for aligning with weekly opens or specific algorithmic strategies.
GB and CE Numbers:
Predefined sets of Goldbach (GB) Numbers and Critical Event (CE) Numbers.
Labels are displayed when the hour counter matches one of these significant numbers.
Customizable Appearance:
Separate settings for GB and CE labels:
Enable or disable each set.
Customize label colors, sizes, and vertical offsets.
Time Zone Support:
Select your desired time zone for accurate start time synchronization with your chart.
Consistent Label Placement:
Labels remain fixed above the candles regardless of zoom level or price range, ensuring clarity on any chart.
Useful for:
Time-Based Strategies: Identify key market intervals for entries or exits based on elapsed trading hours.
Custom Session Tracking: Monitor time progression across different market sessions or instruments.
Algorithmic Insights: Integrate time-based rules into your trading systems with precision.
How to Use:
1. Set the start day and hour using the Algo Start Day and Algo Start Hour inputs.
2. Customize the appearance of GB Time and CE Numbers labels as needed.
3. Align the chart's time zone with the indicator for accurate time tracking.
In the chart example, price is anchored to Sunday at 6pm, the opening hour for the week for futures
BK MA Horizontal Lines
Indicator Description:
I am incredibly proud and excited to share my first indicator with the TradingView community! This tool has been instrumental in helping me optimize my positioning and maximize my trades.
Moving Averages (MAs) are among the top three most crucial indicators for trading, and I believe that the Daily, Weekly, and Monthly MAs are especially critical. The way I’ve designed this indicator allows you to combine MAs from your Daily timeframe with one or two from the Weekly or Monthly timeframes, depending on what is most relevant for the specific product or timeframe you’re analyzing.
For optimal use, I recommend:
Spacing your chart about 11 spaces from the right side.
Setting the Labels at 10 in the indicator configuration.
Keeping the line thickness at size 1, while using size 2 for my other indicator, "BK BB Horizontal Lines", which follows a similar concept but applies to Bollinger Bands.
If you find success with this indicator, I kindly ask that you give back in some way through acts of philanthropy, helping others in the best way you see fit.
Good luck to everyone, and always remember: God gives us everything. May all the glory go to the Almighty!
Chaikin Oscillator with StdDev MarkersJust a Chaikin Oscillator slightly tuned to show extreme changes in A/D momentum.
- Red histogram means the fast EMA is way above the slow EMA (strong distribution).
- Green histogram means the fast EMA is way below the slow EMA (strong accumulation).
Divergences are also easy to identify. When the price pushes more than the histogram, hidden selling could be taking place near tops, and when the price drops but the histogram doesn't follow, accumulation could be taking place.
This, coupled with VSA analysis, is all you'll ever need to understand price action.
Consecutive Candles DevisSoHi Traders !!!
Level Calculation:
50% and 23.6% Fibonacci levels are calculated based on the open and close of the previous candles.
Consecutive Candle Check:
For an uptrend: Each candle's low must not touch the 50% levels of the previous candles.
For a downtrend: Each candle's high must not touch the 50% levels of the previous candles.
Pullback Level:
When a long signal is triggered, the current candle's low is recorded as a pullback level.
When a short signal is triggered, the current candle's high is recorded as a pullback level.
Breakout and Signal Generation:
If the price breaks above the calculated level, a long signal is generated; if it breaks below, a short signal is generated.
These signals are visualized on the chart.
Continuity:
The system checks the last signal to ensure the validity of new signals, maintaining the consistency of consecutive signals.
Relative StrengthThis strategy employs a custom "strength" function to assess the relative strength of a user-defined source (e.g., closing price, moving average) compared to its historical performance over various timeframes (8, 34, 20, 50, and 200 periods). The strength is calculated as a percentage change from an Exponential Moving Average (EMA) for shorter timeframes and a Simple Moving Average (SMA) for longer timeframes. Weights are then assigned to each timeframe based on a logarithmic scale, and a weighted average strength is computed.
Key Features:
Strength Calculation:
Calculates the relative strength of the source using EMAs and SMAs over various timeframes.
Assigns weights to each timeframe based on a logarithmic scale, emphasizing shorter timeframes.
Calculates a weighted average strength for a comprehensive view.
Visualizations:
Plots the calculated strength as a line, colored green for positive strength and red for negative strength.
Fills the background area below the line with green for positive strength and red for negative strength, enhancing visualization.
Comparative Analysis:
Optionally displays the strength of Bitcoin (BTC), Ethereum (ETH), S&P 500, Nasdaq, and Dow Jones Industrial Average (DJI) for comparison with the main source strength.
Backtesting:
Allows users to specify a start and end time for backtesting the strategy's performance.
Trading Signals:
Generates buy signals when the strength turns positive from negative and vice versa for sell signals.
Entry and exit are conditional on the backtesting time range.
Basic buy and sell signal plots are commented out (can be uncommented for visual representation).
Risk Management:
Closes all open positions and cancels pending orders outside the backtesting time range.
Disclaimer:
Backtesting results do not guarantee future performance. This strategy is for educational purposes only and should be thoroughly tested and refined before risking capital.
Additional Notes:
- The strategy uses a custom "strength" function that can be further customized to explore different timeframes and weighting schemes.
- Consider incorporating additional technical indicators or filters to refine the entry and exit signals.
- Backtesting with different parameters and market conditions is crucial for evaluating the strategy's robustness.
Enigma Endgame with Dynamic Trend-Based FibonacciThe Enigma Endgame script combines dynamic trend-based Fibonacci levels with the core principles of the ENIGMA strategy. It provides traders with actionable signals by identifying key levels of fractal support and resistance and highlighting opportunities to trade with market momentum. This tool is designed for multi-timeframe analysis and is especially effective during high-volatility sessions like London and New York.
Purpose and Usefulness
This script was developed to simplify complex market dynamics by integrating Fibonacci principles with ENIGMA's logic of fractal support and resistance. Traders can use it to:
- Identify key breakout and retracement levels dynamically.
- Understand the shift between support and resistance as price action evolves.
- Gain confidence in their entries with real-time signals derived from logical fractal behavior.
By merging Fibonacci levels with fractal-based trading insights, this script offers a unique and comprehensive approach to analyzing market structure.
How It Works
The script uses a dual approach to provide insights:
1. Dynamic Fibonacci Levels:
- Automatically plots Fibonacci retracement and extension levels based on recent high and low swings, adjusting dynamically to current market trends.
- Allows traders to visualize key levels where price might reverse or extend.
2. Fractal Support and Resistance Logic:
- The script identifies fractal support and resistance by analyzing candle formations.
- When a candle body closes below the low of a previous candle, the previous low, which was fractal support, now becomes fractal resistance. The script generates a bearish signal, encouraging traders to look for sell opportunities at or above the previous low.
- Conversely, when a candle body closes above the high of a previous candle, the previous high, which was fractal resistance, becomes fractal support. The script generates a bullish signal, encouraging traders to look for buy opportunities at or below the previous high.
Real-Time Signals
The script marks these transitions with arrows on the chart:
- Bearish arrows indicate broken fractal support turning into resistance.
- Bullish arrows** indicate broken fractal resistance turning into support.
These signals help traders stay aligned with the trend and trade with market momentum.
Key Features
1. Session-Based Analysis: Focuses on high-probability setups by allowing traders to customize session times, such as London or US sessions.
2. Multi-Timeframe Support: Works seamlessly across multiple timeframes for both scalpers and swing traders.
3. Real-Time Alerts: Sends customizable alerts when price interacts with critical Fibonacci levels or fractal support/resistance shifts.
How to Use the Script
1. Apply the script to a clean chart for clear visualization. Avoid combining it with other scripts unless necessary.
2. Use the arrows to identify shifts in fractal support and resistance and validate opportunities for buy/sell trades.
3. Monitor the dynamic Fibonacci levels to find confluence with key price areas.
4. Customize session times to focus on high-probability trading hours.
Key Notes for Traders
- This script provides insights based on logical market structure but should be used alongside proper risk management and trading plans.
- The fractal-based approach works well in conjunction with dynamic Fibonacci levels, helping traders build confidence in their strategy.
- Adapt the script settings to match your unique trading style and timeframe preferences.
By offering a seamless integration of fractal logic and Fibonacci principles, Enigma Endgame empowers traders with actionable insights to navigate markets effectively.
GROK - 40 Day High BreakoutTitle: GROK - Customizable High Breakout Detector
To scan base breakout with Pine Screener
Description:
This Pine Script indicator identifies high breakout patterns based on a user-defined lookback period. By default, it checks for a breakout of the 40-day high, but the period can be adjusted to suit your trading strategy. Key features include:
Custom Lookback Period: Easily modify the number of days for high breakout detection. Lookback period is length of base you want to scan using pine screener.
Visual Alerts: Displays a green triangle above the price bar when a breakout is detected.
Alert Conditions: Built-in alert notifications for automated breakout detection.
Screener Compatibility: Plots breakout signals as a histogram for screener use.
This script is ideal for traders looking to identify strong breakout patterns and incorporate them into their strategies.
How to Use:
Adjust the lookback period in the settings to match your desired breakout criteria.
Add alerts for automated notifications when a breakout is detected.
Use the visual markers and histogram to analyze breakout patterns on your chart.
Lot size calculator for futuresEasily and quickly calculate lot sizes with this unique indicator for futures trading. Whether you're dealing with full contracts or micro contracts, this tool simplifies the process by allowing you to input your account balance, risk percentage, and stop loss in pips. The indicator then automatically calculates the optimal number of contracts to trade based on your risk parameters. Designed for both novice and experienced traders, it ensures precise risk management and enhances your trading strategy. Experience the ease and efficiency of lot size calculation like never before!
Levels Strength Index [BigBeluga]Levels Strength Index provides a unique perspective on market strength by comparing price positions relative to predefined levels, delivering a dynamic probability-based outlook for potential up and down moves.
🔵 Idea:
The Levels Strength Index analyzes the price position against a series of calculated levels, assigning probabilities for upward and downward movements. These probabilities are displayed in percentage form, providing actionable insights into market momentum and strength. The color-coded display visually reinforces whether the price is predominantly above or below key levels, simplifying trend analysis.
🔵 Key Features:
Dynamic Probability Calculation: The indicator compares the current price position relative to 10 predefined levels, assigning an "Up" and "Down" percentage. For example, if the price is above 8 levels, it will display 80% upward and 20% downward probabilities.
Color-Coded Trend Visualization: When the price is above the majority of levels, the display turns green, signaling strength. Conversely, when below, it shifts to orange, reflecting bearish momentum.
Clear Up/Down Probability Labels: Probabilities are displayed with directional arrows next to the price, instantly showing the likelihood of upward or downward moves.
Probability-Based Price Line: The price line is color-coded based on the probability percentages, allowing a quick glance at the prevailing trend and market strength. This can be toggled in the settings.
Customizable Transparency: Adjust the transparency of the levels to seamlessly integrate the indicator with your preferred chart setup.
Fully Configurable: Control key parameters such as the length of levels and price color mode (trend, neutral, or none) through intuitive settings.
🔵 When to Use:
The Levels Strength Index is ideal for traders looking to:
Identify strong upward or downward market momentum using quantified probabilities.
Visualize price strength relative to key levels with intuitive color coding.
Supplement existing level-based strategies by combining probabilities and market positioning.
Gain instant clarity on potential market moves with percentage-based insights.
Whether you're trading trends or ranges, this tool enhances decision-making by combining level-based analysis with a dynamic probability system, offering a clear, actionable perspective on market behavior.
Compare TOTAL, TOTAL2, TOTAL3, and OTHERSCompare TOTAL, TOTAL2, TOTAL3, and OTHERS
This indicator compares the performance of major cryptocurrency market cap indices: TOTAL, TOTAL2, TOTAL3, and OTHERS. It normalizes each index's performance relative to its starting value and visualizes their relative changes over time.
Features
- Normalized Performance: Tracks the percentage change of each index from its initial value.
- Customizable Timeframe: Allows users to select a base timeframe for the data (e.g., daily, weekly).
- Dynamic Labels: Displays the latest performance of each index as a label on the chart, aligned to the right of the corresponding line for easy comparison.
- Color-Coded Lines: Each index is assigned a distinct color for clear differentiation:
-- TOTAL (Blue): Represents the total cryptocurrency market cap.
-- TOTAL2 (Green): Excludes Bitcoin.
-- TOTAL3 (Orange): Excludes Bitcoin and Ethereum.
-- OTHERS (Red): Represents all cryptocurrencies excluding the top 10 by market cap.
- Baseline Reference: Includes a horizontal line at 0% for reference.
Use Cases:
- Market Trends: Identify which segments of the cryptocurrency market are outperforming or underperforming over time.
- Portfolio Insights: Assess the impact of Bitcoin and Ethereum dominance on the broader market.
- Market Analysis: Compare smaller-cap coins (OTHERS) with broader indices (TOTAL, TOTAL2, and TOTAL3).
This script is ideal for traders and analysts who want a quick, visual way to track how different segments of the cryptocurrency market perform relative to each other over time.
Note: The performance is normalized to highlight percentage changes, not absolute values.
Fibonacci Retracement and Target LevelsHighest and Lowest Price Points:
The script calculates the highest (high_price) and lowest (low_price) prices in the specified timeframe. These values are essential for computing the Fibonacci retracement and extension levels.
Fibonacci Retracement Levels:
fib_0: 0% level (highest price).
fib_236, fib_382, fib_50, fib_618, and fib_100: These are the classic Fibonacci retracement levels used to identify potential support or resistance areas as the price retraces from its highest point.
Fibonacci Extension Levels (Targets):
fib_1618, fib_2618, and fib_4236: These are Fibonacci extension levels used to predict potential price targets in the direction of the trend if the price breaks beyond its current range.
Drawing the Levels:
The line.new function is used to draw horizontal lines on the chart representing the Fibonacci retracement and extension levels.
Dashed lines represent retracement levels.
Dotted lines represent extension (target) levels.
How to Use:
Create a new Pine Script in TradingView.
Paste the code above into the Pine Script editor.
Save the script and apply it to your chart to see Fibonacci retracement and extension levels plotted.
Santa's Adventure [AlgoAlpha]Introducing "Santa's Adventure," a unique and festive TradingView indicator designed to bring the holiday spirit to your trading charts. With this indicator, watch as Santa, his sleigh, Rudolf the reindeer, and a flurry of snowflakes come to life, creating a cheerful visual experience while you monitor the markets.
Key Features:
🎁 Dynamic Santa Sleigh Visualization : Santa's sleigh, Rudolf, and holiday presents adapt to price movements and chart structure.
🎨 Customizable Holiday Colors : Adjust colors for Santa’s outfit, Rudolf’s nose, sleigh, presents, and more.
❄️ Realistic Snow Animation : A cascade of snowflakes decorates your charts, with density and range adjustable to suit your preferences.
📏 Adaptive Scaling : All visuals scale based on price volatility and market dynamics.
🔄 Rotation by Trend : Santa and his entourage tilt to reflect market trends, making it both functional and fun!
How to Use :
Add the Indicator to Your Chart : Search for "Santa's Adventure" in the TradingView indicator library and add it to your favorites. Use the input menu to adjust snow density, sleigh colors, and other festive elements to match your trading style or holiday mood.
Observe the Market : Watch Santa’s sleigh glide across the chart while Rudolf leads the way, with snowflakes gently falling to enhance the visual charm.
How It Works :
The indicator uses price volatility and market data to dynamically position Santa, his sleigh, Rudolf, and presents on the chart. Santa's Sleigh angle adjusts based on price trends, reflecting market direction. Santa's sleigh and the snowstorm are plotted using advanced polyline arrays for a smooth and interactive display. A festive algorithm powers the snowfall animation, ensuring a consistent and immersive holiday atmosphere. The visuals are built to adapt seamlessly to any market environment, combining holiday cheer with market insights.
Add "Santa's Adventure" to your TradingView charts today and bring the holiday spirit to your trading journey, Merry Christmas! 🎅🎄
Filtered ATR with EMA OverlayFiltered ATR with EMA Overlay is an advanced volatility indicator designed to provide a more accurate representation of market conditions by smoothing the standard Average True Range (ATR). This is achieved by filtering out extreme price movements and abnormal bars that can distort traditional ATR calculations.
The indicator applies an Exponential Moving Average (EMA) to the filtered ATR, creating a dual-layered system that highlights periods of increased or decreased volatility.
Key Features:
Filtered ATR: Filters out extreme bars, reducing noise and making the ATR line more reliable.
EMA Overlay: An EMA (default period of 10) is applied to the filtered ATR, allowing traders to track average volatility trends.
Volatility Signals:
Filtered ATR > EMA(10): Indicates higher-than-average volatility. This often correlates with trend breakouts or strong price movements.
Filtered ATR < EMA(10): Suggests reduced volatility, signaling potential consolidation or sideways price action.
Parameters:
atrLength (Default: 5):
The number of bars used to calculate the ATR. A shorter period (e.g., 3-5) responds faster to price changes, while a longer period (e.g., 10-14) provides smoother results.
multiplier (Default: 1.8):
Controls the sensitivity of the filter. A lower multiplier (e.g., 1.5) filters out more bars, resulting in smoother ATR. Higher values (e.g., 2.0) allow more bars to pass through, retaining more price volatility.
maxIterations (Default: 20):
The maximum number of bars processed to detect abnormal values. Increasing this may improve accuracy at the cost of performance.
ema10Period (Default: 10):
The period for the Exponential Moving Average applied to the filtered ATR. Shorter periods provide faster signals, while longer periods give smoother, lagging signals.
Trading Strategies:
1. Breakout Strategy:
When filtered ATR crosses above EMA(10):
Enter long positions when price breaks above a key resistance level.
Higher volatility suggests strong price action and momentum.
When filtered ATR drops below EMA(10):
Exit positions or tighten stop-loss orders as volatility decreases.
Lower volatility may indicate consolidation or trend exhaustion.
2. Trend Following Strategy:
Use the filtered ATR line to track overall volatility.
If filtered ATR consistently stays above EMA: Hold positions or add to trades.
If filtered ATR remains below EMA: Reduce position size or stay out of trades.
3. Mean Reversion Strategy:
When filtered ATR spikes significantly above EMA, it may indicate market overreaction.
Look for price to revert to the mean once ATR returns below the EMA.
4. Stop-Loss Adjustment:
As volatility increases (ATR above EMA), widen stop-loss levels to avoid being stopped out by random fluctuations.
In low volatility (ATR below EMA), tighten stop-losses to minimize losses during low activity periods.
Benefits:
Reduced Noise: By filtering abnormal bars, the indicator provides cleaner signals.
Better Trend Detection: EMA smoothing highlights volatility trends.
Adaptable: The indicator can be customized for scalping, day trading, or swing trading.
Intuitive Visualization: Traders can visually see volatility shifts and adjust strategies in real-time.
Best Practices:
Timeframes: Works effectively on all timeframes, but higher timeframes (e.g., 1H, 4H, Daily) yield more reliable signals.
Markets: Suitable for forex, crypto, stocks, and commodities.
Combining Indicators: Use in combination with RSI, Moving Averages, Bollinger Bands, or price action analysis for stronger signals.
How It Works (Under the Hood):
The script calculates the Daily Range (High - Low) for each bar.
The largest and smallest bars are filtered out if their difference exceeds the multiplier (default 1.8).
The remaining bars are averaged to generate the filtered ATR.
An EMA(10) is then applied to the filtered ATR for smoother visualization.
Breakout Master//@version=5
indicator('Breakout Master', overlay=true)
bullishBar = 1
bearishBar = -1
var inside_bar = array.new_int(0)
var inside_bar_high = array.new_float(0)
var inside_bar_low = array.new_float(0)
var motherCandleIndex = 0
var motherCandleHigh = 0.0
var motherCandleLow = 0.0
var motherCandleRange = 0.0
var target1Buy = 0.0
var target2Buy = 0.0
var target1Sell = 0.0
var target2Sell = 0.0
var motherCandleH = line.new(na, na, na, na, extend=extend.right, color=color.green)
var motherCandleL = line.new(na, na, na, na, extend=extend.right, color=color.red)
var motherCandleHLabel = label.new(na, na, style=label.style_label_left, textcolor=color.green, color=color.new(color.green, 80))
var motherCandleLLabel = label.new(na, na, style=label.style_label_left, textcolor=color.red, color=color.new(color.red, 80))
var longT1 = line.new(na, na, na, na, extend=extend.right)
var longT2 = line.new(na, na, na, na, extend=extend.right)
var shortT1 = line.new(na, na, na, na, extend=extend.right)
var shortT2 = line.new(na, na, na, na, extend=extend.right)
var longT1Label = label.new(na, na, textcolor=color.blue, style=label.style_label_left, color=color.new(color.blue, 80))
var longT2Label = label.new(na, na, textcolor=color.blue, style=label.style_label_left, color=color.new(color.blue, 80))
var shortT1Label = label.new(na, na, textcolor=color.blue, style=label.style_label_left, color=color.new(color.blue, 80))
var shortT2Label = label.new(na, na, textcolor=color.blue, style=label.style_label_left, color=color.new(color.blue, 80))
var longT1Line = input.bool(title='Show Long T1', defval=true, group='Long')
var longT2Line = input.bool(title='Show Long T2', defval=true, group='Long')
var shortT1Line = input.bool(title='Show Short T1', defval=true, group='Short')
var shortT2Line = input.bool(title='Show Short T2', defval=true, group='Short')
var longT1Range = input.float(title='Long T1', defval=1, group='Long (x times above range of mother candle)', tooltip='Line will be plotted above high of mother candle. If value entered is 1, then T1 = range of mother candle x 1')
var longT2Range = input.float(title='Long T2', defval=1.5, group='Long (x times above range of mother candle)', tooltip='Line will be plotted above high of mother candle. If value entered is 2, then T2 = range of mother candle x 2')
var shortT1Range = input.float(title='Short T1', defval=1, group='Short (x times below range of mother candle)', tooltip='Line will be plotted below low of mother candle. If value entered is 1, then T1 = range of mother candle x 1')
var shortT2Range = input.float(title='Short T2', defval=1.5, group='Short (x times below range of mother candle)', tooltip='Line will be plotted below low of mother candle. If value entered is 2, then T2 = range of mother candle x 1')
hi = high
lo = low
op = open
cl = close
isInside() =>
previousBar = 1
bodyStatus = cl >= op ? 1 : -1
isInsidePattern = hi < hi and lo > lo
isInsidePattern ? bodyStatus : 0
newDay = ta.change(time('D'))
if newDay
array.clear(inside_bar)
array.clear(inside_bar_high)
array.clear(inside_bar_low)
if isInside() and array.size(inside_bar) <= 0
array.push(inside_bar, bar_index)
array.push(inside_bar_high, hi )
array.push(inside_bar_low, lo )
if barstate.islast and array.size(inside_bar) > 0
motherCandleIndex := array.get(inside_bar, 0) - 1
motherCandleHigh := array.get(inside_bar_high, 0)
motherCandleLow := array.get(inside_bar_low, 0)
motherCandleRange := motherCandleHigh - motherCandleLow
target1Buy := motherCandleHigh + longT1Range * motherCandleRange
target2Buy := motherCandleHigh + longT2Range * motherCandleRange
target1Sell := motherCandleLow - shortT1Range * motherCandleRange
target2Sell := motherCandleLow - shortT2Range * motherCandleRange
// mother candle high
line.set_xy1(motherCandleH, motherCandleIndex, motherCandleHigh)
line.set_xy2(motherCandleH, bar_index, motherCandleHigh)
label.set_xy(motherCandleHLabel, bar_index + 5, motherCandleHigh)
label.set_text(id=motherCandleHLabel, text='Range High - ' + str.tostring(motherCandleHigh))
//mother candle low
line.set_xy1(motherCandleL, motherCandleIndex, motherCandleLow)
line.set_xy2(motherCandleL, bar_index, motherCandleLow)
label.set_xy(motherCandleLLabel, bar_index + 5, motherCandleLow)
label.set_text(id=motherCandleLLabel, text='Range Low - ' + str.tostring(motherCandleLow))
//long target 1
if longT1Line
line.set_xy1(longT1, motherCandleIndex, target1Buy)
line.set_xy2(longT1, bar_index, target1Buy)
label.set_xy(longT1Label, bar_index + 5, target1Buy)
label.set_text(id=longT1Label, text='T1 - ' + str.tostring(target1Buy) + ' (' + str.tostring(longT1Range * motherCandleRange) + ') points')
//long target 2
if longT2Line
line.set_xy1(longT2, motherCandleIndex, target2Buy)
line.set_xy2(longT2, bar_index, target2Buy)
label.set_xy(longT2Label, bar_index + 5, target2Buy)
label.set_text(id=longT2Label, text='T2 - ' + str.tostring(target2Buy) + ' (' + str.tostring(longT2Range * motherCandleRange) + ') points')
//short target 1
if shortT1Line
line.set_xy1(shortT1, motherCandleIndex, target1Sell)
line.set_xy2(shortT1, bar_index, target1Sell)
label.set_xy(shortT1Label, bar_index + 5, target1Sell)
label.set_text(id=shortT1Label, text='T1 - ' + str.tostring(target1Sell) + ' (' + str.tostring(shortT1Range * motherCandleRange) + ') points')
//short target 2
if shortT2Line
line.set_xy1(shortT2, motherCandleIndex, target2Sell)
line.set_xy2(shortT2, bar_index, target2Sell)
label.set_xy(shortT2Label, bar_index + 5, target2Sell)
label.set_text(id=shortT2Label, text='T2 - ' + str.tostring(target2Sell) + ' (' + str.tostring(shortT2Range * motherCandleRange) + ') points')
