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Market Sessions by BASSWELLThis TradingView indicator visually highlights major global trading sessions (Tokyo, London, New York) directly on intraday charts. It provides a clear, color-coded display of session activity and key statistics to help traders better understand session dynamics and overlaps. ✅ Key Features: Visual Session Boxes: Draws background boxes for each session with configurable colors. Session Names: Displays the name of each session as a label above the session box. Open/Close Lines: Optionally shows dashed lines at session open and close prices. Average Price Line: Plots the average session price as a dotted line. Tick Range Display: Calculates and shows the high-low range in ticks. Time Zone Support: Fully timezone-aware via IANA definitions (e.g. "Europe/London"). Overlap Handling: Automatically dims older sessions when a new one starts for visual clarity. 🔧 Configurable Parameters: Show/hide each session individually. Set session times and timezones. Customize label visibility and box contents. Adjust session colors with transparency. Includes basic visual styling for better chart readability. ⚠️ Note: Works only on intraday timeframes. Daily/weekly/monthly charts are not supported.
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HAWK_LUKYN의
Opening Price LevelsOpening Price Levels This simple and effective indicator automatically draws horizontal lines at the opening price of each major period: Year Quarter Month Week Day Each line extends until the end of its respective period, helping you quickly identify and react to key institutional price levels and market structure shifts. 🔧 Features: Toggle visibility for each timeframe (Year, Quarter, Month, Week, Day) Clean visual presentation using plot.style_linebr, ensuring no overlapping or vertical jumps Automatically adapts to your chart’s timeframe and session settings This tool is great for both discretionary and systematic traders who want to add more context and structure to their analysis.
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dsh220의
Buffett Indicator (Wilshire 5000 / GDP)The Buffett Indicator (Wilshire 5000 / GDP) is a macroeconomic metric used to assess whether the U.S. stock market is overvalued or undervalued. It is calculated by dividing the total market capitalization (represented by the Wilshire 5000 Index) by the U.S. Gross Domestic Product (GDP). A value above 1 (or 100%) may indicate an overvalued market, while a value below 1 suggests potential undervaluation. This indicator is best suited for long-term investment analysis.
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Laci123의
90-Day Beta to BTCOverview: The 90-Day Beta to BTC indicator measures the volatility of a specific token relative to Bitcoin (BTC) over the past 90 days. Beta is a widely used statistical measure in financial markets that indicates how much a token's price moves in relation to BTC. A higher beta means the token is more volatile compared to BTC, while a lower beta means it is less volatile or moves similarly to BTC. How It Works: This indicator calculates the daily logarithmic returns of both the token and Bitcoin, then computes the covariance between their returns and the variance of Bitcoin’s returns. The resulting Beta value reflects the degree to which the token’s price fluctuates relative to Bitcoin's price over the past 90 days. Beta > 1: The token is more volatile than Bitcoin, showing higher price swings. Beta = 1: The token moves in lockstep with Bitcoin, exhibiting similar volatility. Beta < 1: The token is less volatile than Bitcoin, showing smaller price fluctuations. Beta = 0: The token's price movement is uncorrelated with Bitcoin’s price. Negative Beta: The token moves opposite to Bitcoin, indicating an inverse relationship. Use Case: This indicator is particularly useful for traders or investors looking to identify tokens with high speculative volatility. Tokens with Beta values above 1 are typically high-risk, high-reward assets, often driven by hype, social trends, or market speculation. Conversely, tokens with Beta values below 1 offer a more stable price relationship with Bitcoin, making them less volatile and potentially safer. In the context of a Trash Token Tournament, tokens with a higher Beta (greater than 1) may be more attractive due to their heightened volatility and potential for larger price swings, making them the “wild cards” of the market. Visual Representation: The Beta value is plotted as a line chart beneath the main price chart, offering a visual representation of the token’s volatility relative to Bitcoin over the last 90 days. Spikes in Beta indicate periods of increased volatility, while drops suggest stability.
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warissss의
AI-123's BTC vs Gold (Lag Correlation) DISCLAIMER I made this indicator with the help of ChatGPT and using what I have learned so far from The Pine Script Mastery Course, LOTS of edits based on what I have learned so far had to be made as well as additions and modifications to my liking thanks to what I have learned so far. I am aware this already exists but I have done my best to make a first ever script/indicator while learning how to properly publish as well, so please bear that in mind. Overview This indicator analyzes the correlation between Bitcoin (BTC) and Gold (XAUUSD), with a customizable lag applied to the Gold price, providing insight into the macro relationship between these two assets. It is designed for traders and investors who want to track how Bitcoin and Gold move in relation to each other, particularly when Gold is lagged by a specific number of days. Key Features: BTC and Gold (Lagged) Price Overlay: Display Bitcoin (BTC) and Gold (XAUUSD) prices on the chart, with an adjustable lag applied to the Gold price. Rolling Correlation Calculation: Measures the correlation between Bitcoin and lagged Gold prices over a customizable lookback period. Adjustable Lag: The number of days that Gold is lagged relative to Bitcoin is fully customizable (default: 20 days). Customizable Correlation Length: Allows you to choose the lookback period for the correlation (default: 50 days), providing flexibility for short-term or long-term analysis. Normalized Plotting: Prices of Bitcoin and Gold are normalized for better visual alignment with the correlation values. BTC is divided by 1000, and Gold by 100. Correlation Scaling: The correlation value is amplified by 10 for better visual clarity and comparison with price data. Zero Line: Horizontal line representing a correlation of 0, making it easier to identify positive or negative correlation shifts. Maximum Correlation Lines: Horizontal lines at +10 and -10 values for extreme correlation scenarios. Input Settings: Gold Symbol: Customize the Gold ticker (default: OANDA:XAUUSD). Bitcoin Symbol: Customize the Bitcoin ticker (default: BINANCE:BTCUSDT). Lag (in trading days): Adjust the number of trading days to lag the Gold price relative to Bitcoin (default: 20). Correlation Length (days): Set the number of days over which the rolling correlation is calculated (default: 50). How to Use: Price Comparison: The BTC (Spot) and Lagged Gold plots give you a side-by-side visual comparison of the two assets, normalized for clarity. Correlation Line: The correlation line helps you gauge the strength and direction of the relationship between BTC and lagged Gold. Positive values indicate a strong positive correlation, while negative values indicate a negative correlation. Visual Analysis: Watch how the correlation shifts with changes in lag and correlation length to identify potential market dynamics between Bitcoin and Gold. Potential Applications: Macro Trading: Track how Bitcoin and Gold behave in relation to each other during periods of economic uncertainty or inflation. Sentiment Analysis: Use the correlation data to understand the sentiment between digital and traditional assets. Strategic Timing: Identify potential opportunities where Bitcoin and Gold show a strong correlation or diverge based on the lag adjustment. Understanding Macro Trends/Correlations. Disclaimer: This indicator is for informational purposes only. The correlation between Bitcoin and Gold does not guarantee future performance, and users should conduct their own research and use risk management strategies when making trading decisions. Notes: This script uses historical data, so results may vary across different timeframes. Customization options allow users to adjust the lag and correlation length to better fit their trading strategy. Future Enhancements: Additional Correlation Line: A second correlation line for different lengths of lag or different assets. Color-Coding of Correlation: Future updates may include color-coded correlation strength, visually indicating positive or negative correlation more effectively.
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alphainvestor123의
Market Session StrategyMarket Session Strategy Indicator Explanation This is a TradingView Pine Script indicator called "Market Session Strategy" that monitors different market sessions and generates trading signals based on pattern analysis between sessions. Let me break down how it works: Core Functionality The indicator divides the trading day into three sessions: Pre-Market (7:30 PM - 3:00 AM ET by default) Regular Market (3:00 AM - 9:30 AM ET by default) After Hours (9:30 AM - 4:00 PM ET by default) For each session, it: Tracks price action (open, high, low, close) Calculates range percentages Identifies session bias (bullish or bearish) Draws visual session boxes on the chart Generates trading signals based on historical patterns Signal Generation Methodology The indicator generates BUY/SELL signals at the beginning of the Regular Market and After Hours sessions using three main strategies: 1. Trend Continuation/Reversal Analysis The script tracks how often a bullish/bearish trend in one session continues or reverses in the next session. For example: If pre-market trends historically continue into regular hours 70% of the time and today's pre-market is bullish, it may generate a BUY signal. If reversals are more common, it may generate a counter-trend signal. 2. Tight Range Breakout Signal The indicator identifies "tight range" sessions (where price movement is unusually constrained compared to recent averages). A tight range with a bullish bias generates a BUY signal, while a bearish bias generates a SELL signal. 3. Day of Week Pattern Analysis The script analyzes which days of the week show stronger trend continuation probabilities. If a particular day (like Monday) historically shows strong trend continuation and the threshold is met, it generates a signal accordingly. Visual Components The indicator provides several visual elements: Colored session boxes showing high/low ranges Signal labels at entry points Session background colors with high transparency A comprehensive dashboard showing session status, range percentages, bias, and signals Performance Tracking The script tracks trade success by session and day of week, which helps refine future signals. A trade is considered successful if: A BUY signal is followed by a close higher than open A SELL signal is followed by a close lower than open
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DerekLMS의
Cycle Trend - [Dakon]The Cycle Trend indicator is a visual tool designed to help traders identify the trend structure and potential cycle momentum in the market Simple and Powerful indicator It combines a custom channel based on RMA (Running Moving Average) of the high, low, and close prices with multiple long-term RMA lines to give a clearer view of the price's rhythm and trend behavior. How It Works: PAC Channel (Hi, Lo, Close): Smoothed with RMA, the channel envelopes the price action to highlight the average high and low range over a configurable period (High Low Close) The middle line (Close PAC RMA) represents the core direction of price movement. Cycle Smoothing Lines (RMA 36 / 54 / 72): These lines act as long-term filters for identifying trend phases and the momentum cycle. Useful for spotting convergence/divergence and trend transitions. ✅ How to Use: Trend Direction: When price stays above the PAC and slope upwards → Bullish trend. When price stays below the PAC and slope downwards → Bearish trend. Support/Resistance: The band (High and Low) act as dynamic support/resistance zones during trends or consolidation phases. Cycle Timing: The layered RMAs (36/54/72) help identify early trend changes, late-stage trends, or price compression zones. Identifying cycle-based trends in crypto, forex, and stock markets
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DakonTrading의
Daily Borders with Weekday Labels[fitfatq]Indicator Overview This indicator displays daily vertical border lines and the previous day’s weekday label on intraday charts (i.e., charts with a timeframe lower than Daily). It draws a vertical line at the start of each new trading day and places a label displaying the previous day’s weekday (e.g., Monday) at the horizontal midpoint between the previous and the current day. Users can customize various visual aspects such as the separator line style and width, label style, text color, and text size. Additionally, the indicator offers an option to fix the label’s Y coordinate at a specified price level to prevent it from being overlapped by candlesticks. Parameter Details Use Fixed Weekday Label Y Coordinate Type: Boolean Default: false Description: When enabled, the weekday label’s vertical position will be fixed at a specified price level (see next parameter). Otherwise, the label’s Y position is determined dynamically (typically based on the current bar’s low minus 3 ticks). Fixed Weekday Label Y Coordinate (price) Type: Float Default: 130.0 Description: This parameter sets the fixed price level at which the weekday label will be displayed if the "Use Fixed Weekday Label Y Coordinate" option is enabled. Please input a value that corresponds to your chart’s price scale (e.g., 130.50). Note: In charts with high price levels (for example, stocks trading at 3000 or above), it is recommended to set this value to 3000 or above. The higher the value, the closer the label will appear to the candlesticks. Separator Line Style Type: String (Options: "Solid", "Dotted", "Dashed") Default: "Dotted" Description: Specifies the style of the vertical separator line drawn at the start of each new day. "Solid" displays a continuous line, "Dotted" shows a dotted line, and "Dashed" provides a dashed line. Separator Line Width Type: Integer Default: 1 Description: Determines the thickness of the separator line. A higher number results in a thicker line; the minimum value is 1. Label Style Type: String (Options: "None", "Label Up", "Label Down", "Label Left", "Label Right", "Label Center") Default: "None" Description: Sets the built-in style for the weekday label. "None" means no background or border (plain text only), while other options apply predefined visual effects. Text Color Type: Color Default: Black Description: Determines the text color of the weekday label. Label Text Size Type: String (Options: "Tiny", "Small", "Normal", "Large", "Huge") Default: "Normal" Description: Specifies the text size of the weekday label. Adjust according to preference to ensure the label is readable. Usage Summary How It Works: The indicator detects the start of a new trading day using a change in the daily timeframe (via ta.change(time("D"))). When a new day begins, it draws a vertical separator line at the first bar of that day. If previous day data is available, the indicator calculates the horizontal midpoint between the start of the previous day and the current day and displays the previous day’s weekday label at that position. If the fixed Y coordinate option is enabled, the label is drawn at the specified price level; otherwise, it is positioned relative to the current bar’s low. Customization: Users can adjust all visual aspects, including the line style and width as well as the label style, text color, and text size. The fixed Y coordinate option allows the label’s vertical position to remain constant, which helps prevent overlapping with price bars. Chart Requirement: This indicator only operates on intraday charts (timeframes lower than Daily) and will not display on Daily or higher timeframe charts. License This indicator is released under the Mozilla Public License 2.0. Please credit the original author (fitfatq) when using or sharing this script.
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fitfatq의
Global M2 Money+ Supply Input Lead (USD)Global M2 Money Supply + INR+CAD Input Lead (USD) This indicator calculates the global M2 money supply in USD by aggregating M2 data from multiple economies, converted to USD using their respective exchange rates. It overlays the scaled M2 data on the chart with a user-defined time shift to analyze potential correlations with asset prices, such as Bitcoin. The indicator is designed to help traders assess global liquidity trends with a customizable lead or lag. Countries Included: Eurozone (EUM2) North America: United States (USM2), Canada (CAM2) Non-EU Europe: Switzerland (CHM2), United Kingdom (GBM2), Finland (FIM2), Russia (RUM2) Pacific: New Zealand (NZM2) Asia: China (CNM2), Taiwan (TWM2), Hong Kong (HKM2), India (INM2), Japan (JPM2), Philippines (PHM2), Singapore (SGM2) Latin America: Brazil (BRM2), Colombia (COM2), Mexico (MXM2) Middle East: United Arab Emirates (AEM2), Turkey (TRM2) Africa: South Africa (ZAM2) Input for Lead/Lag: Time Shift (days): Adjust this input to shift the M2 data forward (positive values) or backward (negative values) on the chart. For example, setting a lead of 85 days shifts the M2 data 85 days into the future, helping traders analyze potential leading indicators for price movements.
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Crypto-KDuB의
BySq - Market PsychologyThe script I provided is a Market Psychology Index indicator for TradingView, which focuses on three key psychological market phases: FOMO (Fear of Missing Out) Panic Selling Reversal This indicator uses volume, price changes, and specific time periods to gauge market sentiment. Let me break it down: 1. Input Parameters: FOMO Period: Defines how many bars (candles) the FOMO index will consider for its calculation. Panic Period: Defines the period to evaluate Panic Selling. Reversal Period: Defines the period to evaluate potential price reversals. You can adjust these periods based on your analysis preferences. The default for each period is 14. 2. FOMO Index: The FOMO Index aims to capture the "fear of missing out" behavior in the market. It uses volume and price change: Volume is compared to the Simple Moving Average (SMA) of volume over the specified period. Price change is calculated as the percentage change in price compared to the previous bar. If both volume and price change indicate strong upward movement, the FOMO index spikes. 3. Panic Selling Index: The Panic Selling Index captures when traders are selling out of fear, often in a rapid or irrational way. Similar to the FOMO Index, it considers volume and price change: It uses volume and compares it to the SMA of volume for the panic period. Price change is negative, meaning it considers only price drops. When there is high volume coupled with significant price drops, it signals panic selling. 4. Reversal Index: The Reversal Index aims to detect potential trend reversals in the market. This index also considers volume and price change: It focuses on upward price movement and compares volume to its SMA. If there’s strong upward price movement along with increasing volume, it signals the possibility of a price reversal. 5. Graphical Output: Histograms are drawn on the chart for each of the three indices: FOMO is shown in green (indicating the presence of FOMO) and red (when the index is low). Panic Selling is shown in orange. Reversal is shown in purple. The Zero Line (horizontal dotted line) helps identify when any of the indices is positive or negative. 6. Labels: Labels for each index are shown on the chart at the relevant bar when the index spikes. FOMO is labeled "FOMO" in green when it spikes. Panic Selling is labeled "Panic Selling" in orange when it spikes. Reversal is labeled "Reversal" in purple when it spikes. Additionally, period labels show above the chart, indicating the specific periods (FOMO, Panic, and Reversal periods) currently being applied. This provides clarity on what time frame each index is analyzing. 7. How to Use: FOMO: High values may indicate that traders are buying out of fear of missing out on a rally, suggesting a potentially overheated market. Panic Selling: High values could suggest irrational selling behavior or capitulation, potentially marking the bottom of a downtrend. Reversal: High values signal the potential for a market reversal, where the price could change direction due to increased volume and upward movement. 8. Visual Appearance: The indicator’s histograms change colors based on the level of market sentiment detected. The color-coded approach provides an easy-to-read visual representation of different psychological phases in the market. The horizontal zero line allows easy differentiation between positive and negative values. Summary: This script combines the psychology of the market (FOMO, Panic Selling, and Reversal) into a set of indicators that help traders identify potential turning points or emotional states in the market. By focusing on volume and price change, the script attempts to give a clear picture of market sentiment and possible future movements.
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Baenur의