Get started

Search in scripts for "Cycle"

Bitcoin Monthly Seasonality [Alpha Extract]The Bitcoin Monthly Seasonality indicator analyzes historical Bitcoin price performance across different months of the year, enabling traders to identify seasonal patterns and potential trading opportunities. This tool helps traders: Visualize which months historically perform best and worst for Bitcoin. Track average returns and win rates for each month of the year. Identify seasonal patterns to enhance trading strategies. Compare cumulative or individual monthly performance. 🔶 CALCULATION The indicator processes historical Bitcoin price data to calculate monthly performance metrics Monthly Return Calculation Inputs: Monthly open and close prices. User-defined lookback period (1-15 years). Return Types: Percentage: (monthEndPrice / monthStartPrice - 1) × 100 Price: monthEndPrice - monthStartPrice Statistical Measures Monthly Averages: ◦ Average return for each month calculated from historical data. Win Rate: ◦ Percentage of positive returns for each month. Best/Worst Detection: ◦ Identifies months with highest and lowest average returns. Cumulative Option Standard View: Shows discrete monthly performance. Cumulative View: Shows compounding effect of consecutive months. Example Calculation (Pine Script): monthReturn = returnType == "Percentage" ? (monthEndPrice / monthStartPrice - 1) * 100 : monthEndPrice - monthStartPrice calcWinRate(arr) => winCount = 0 totalCount = array.size(arr) if totalCount > 0 for i = 0 to totalCount - 1 if array.get(arr, i) > 0 winCount += 1 (winCount / totalCount) * 100 else 0.0 🔶 DETAILS Visual Features Monthly Performance Bars: ◦ Color-coded bars (teal for positive, red for negative returns). ◦ Special highlighting for best (yellow) and worst (fuchsia) months. Optional Trend Line: ◦ Shows continuous performance across months. Monthly Axis Labels: ◦ Clear month names for easy reference. Statistics Table: ◦ Comprehensive view of monthly performance metrics. ◦ Color-coded rows based on performance. Interpretation Strong Positive Months: Historically bullish periods for Bitcoin. Strong Negative Months: Historically bearish periods for Bitcoin. Win Rate Analysis: Higher win rates indicate more consistently positive months. Pattern Recognition: Identify recurring seasonal patterns across years. Best/Worst Identification: Quickly spot the historically strongest and weakest months. 🔶 EXAMPLES The indicator helps identify key seasonal patterns Bullish Seasons: Visualize historically strong months where Bitcoin tends to perform well, allowing traders to align long positions with favorable seasonality. Bearish Seasons: Identify historically weak months where Bitcoin tends to underperform, helping traders avoid unfavorable periods or consider short positions. Seasonal Strategy Development: Create trading strategies that capitalize on recurring monthly patterns, such as entering positions in historically strong months and reducing exposure during weak months. Year-to-Year Comparison: Assess how current year performance compares to historical seasonal patterns to identify anomalies or confirmation of trends. 🔶 SETTINGS Customization Options Lookback Period: Adjust the number of years (1-15) used for historical analysis. Return Type: Choose between percentage returns or absolute price changes. Cumulative Option: Toggle between discrete monthly performance or cumulative effect. Visual Style Options: Bar Display: Enable/disable and customize colors for positive/negative bars, Line Display: Enable/disable and customize colors for trend line, Axes Display: Show/hide reference axes. Visual Enhancement: Best/Worst Month Highlighting: Toggle special highlighting of extreme months, Custom highlight colors for best and worst performing months. The Bitcoin Monthly Seasonality indicator provides traders with valuable insights into Bitcoin's historical performance patterns throughout the year, helping to identify potentially favorable and unfavorable trading periods based on seasonal tendencies.
Pine Script® indicator
by AlphaExtract
5
BOT_BUY/SELL_WWМощный помощник при открытии сделок ✅ Данные подсказки НЕ являются руководством к действию, это не сигналы и не торговые рекомендации, это лишь мониторинг потенциального тренда инструмента ✅ Подсказки бота могут с вероятностью до 90% указать на возможный слив или памповое движение, поэтому стоять в позе против бота не безопасно‼️. Это важно, если вы торгуете внутри дня. ✅ В боковике возможна частая смена приоритетов потенциального тренда, это нормально ✅ Если решите буквально торговать по сигналам бота, обязательно выставляйте стопы под свечу, по которой бот обозначил направление движения цены. Берегите свои депозиты.
Pine Script® indicator
by WillyWonkaBtc
MACRO BTC HEALTH 1WThis indicator is used as MACRO tool to view the outlook of BTC on the 1W time frame to illustrate (BLX chart works best) BTC's price action and where it's at, it helps provide an indication of the crypto market's current health as BTC health is an overall indicator in the crypto market as a whole. This indicator uses historic data to fit between 4 bands fitted to MA, top(red) when BTC is overheated, 2 bands in middle(yellow) when BTC in fair value, and bottom band(blue) when BTC is oversold I combined MA that fit BTC 1W chart precisely to show when BTC looks overheated vs over sold using historic data. When BTC is in the top bands historically overheated. When BTC is in the middle it is fighting at fair value with the 2 yellow lines in the middle, bullish when above yellow lines, as they act as support, and in downtrend when price is below yellow lines and can act as resistance. Historically the 200W MA is where BTC finds support at an oversold level at the bottom blue line. When two yellow lines in middle cross downwards historically results in a downtrend to the bottom oversold line (blue). and when two yellow lines cross up and BTC holds them as support bullish trend continues until it is overheated passed the red band. This indicator is not meant for day trading but is meant to illustrate a MACRO view of BTC current situation from a zoomed-out view, and to help illustrate to investors where things are at so they leave emotions out of the market and can make decisions based on BTC current levels using Historic data. Pro tip use bottom line(blue, oversold) as an opportunity to buy in and top line red(overheated) to scale out of positions, LONG TERM CRYPTO IS BULLISH BUT GREAT TO GET AN OUTLOOK OF THE CURRENT STATE OF BTC, WHILE ALSO USING MACRO ECONOMIC SENTIMENT IRL, FUNDAMENTAL ECONOMIC DECISIONS, ECONOMIC CONDITIONS/ENVIRONMENT, ECONOMIC HEALTH ,FED DECISIONS, INTEREST RATE ENVIRONMENT AND OF COURSE LOOKING AT CRYPTO ADOPTION. Hope this indicator helps leave emotions out of the market by providing a good guide of BTC sentiment, and its current health to make decisions accordingly. NFA but good to envision the MACRO BTC HEALTH at the 1W timeframe.
Pine Script® indicator
by MasterTonyTA
Makv_engmakv is a powerful multi-strategy indicator that combines Ichimoku, Price Action, Smart Money Concepts (SMC), and Candlestick Patterns to generate accurate buy and sell signals. It includes: FVG (Fair Value Gaps) detection Order Blocks visualization RSI and Bollinger Bands Custom Bullish/Bearish Market Support Zones Each signal comes with a built-in explanation shown directly above the candle, making it easy to interpret. Just identify the market trend and follow the signal instructions — no guesswork needed. ⚠️ For access or further guidance, contact us via Tel _egr_am: t.me/Rezamh58
Pine Script® indicator
by epgekb
AIAE: Average Investor's Allocation To EquityPeople say a bull market ends when there are no more buyers left on the market and a bear market ends when there are no more sellers. Well, this indicador shows exactly this. It uses FRED data to compare the total value invested on stocks with the total value held by investors to find the percentage that is allocated to stocks. The exact formula used to calculate this index was created by pseudonymous Jesse Livermore and is available for free to anyone who wishes to consult it in his blog Philosophical Economics . The only thing I'm adding here that wasn't available on Jesse's index is the color code. This script will use Jesse's formula to find the average investor's allocation to equity at any given time. Then, it will color the SPDR (S&P 500) according to this allocation. A high allocation to equity means we could be close to a market correction, so it will color the SPDR in red and a low allocation means we could be close to a market bottom, so it will color the SPDR in blue. Here's the exact color parameters used: switch AIAE <= 23 => priceLevel := "Gift" AIAE > 23 and AIAE <=26 => priceLevel := "Very Cheap" AIAE > 26 and AIAE <= 29 => priceLevel := "Cheap" AIAE > 29 and AIAE <= 32 => priceLevel := "Slightly Cheap" AIAE > 32 and AIAE <= 37 => priceLevel := "Neutral" AIAE > 37 and AIAE <= 40 => priceLevel := "Slightly Expensive" AIAE > 40 and AIAE <= 43 => priceLevel := "Expensive" AIAE > 43 and AIAE <= 46 => priceLevel := "Very Expensive" AIAE > 46 => priceLevel := "Exuberant" Please note that this indicador should ONLY be used on the SPDR (S&P 500). It will not produce adequate results if used on other assets.
Pine Script® indicator
by Mateus_Rapini
2
Central Banks Balance Sheets ROI% ChangeIntroducing the "Central Banks Balance Sheets ROI% Change" indicator, a tool designed to offer traders and analysts an understanding of global liquidity dynamics. This indicator tracks the Return on Investment (ROI) percentage changes across major central banks' balance sheets, providing insights into shifts in global economic liquidity not tied to cumulative figures but through ROI calculations, capturing the pulse of overall economic dynamics. Key Enhancements: ROI Period Customization: Users can now adjust the ROI calculation period, offering flexibility to analyze short-term fluctuations or longer-term trends in central bank activities, aligning with their strategic time horizons. Chart Offset Feature: This new functionality allows traders to shift the chart view, aiding in the alignment of data visualization with other indicators or specific analysis needs, enhancing interpretive clarity. Central Bank Selection: With options to include or exclude data from specific central banks among the world's top 15 economies (with the exception of Mexico and the consolidation of the EU's central bank data), traders can tailor the analysis to their regional focus or diversification strategies. US M2 Option: Recognizing the significance of the M2 money supply as a liquidity metric, this indicator offers an alternative view focusing solely on the US M2, allowing for a concentrated analysis of the US liquidity environment. Comprehensive Coverage: The tool covers a wide array of central banks, including the Federal Reserve, People's Bank of China, European Central Bank, and more, ensuring a broad and inclusive perspective on global liquidity. Visualization Enhancements: A histogram plot vividly distinguishes between positive and negative ROI changes, offering an intuitive grasp of liquidity expansions or contractions at a glance. This indicator is a strategic tool designed for traders who seek to understand the undercurrents of market liquidity and its implications on global markets. Whether you're assessing the impact of central bank policies, gauging economic health, or identifying investment opportunities, the "Central Banks Balance Sheets ROI% Change" indicator offers a critical lens through which to view the complex interplay of global liquidity factors.
Pine Script® indicator
by mezor13
5
Tesla Coil MLThis is a re-implementation of @veryfid's wonderful Tesla Coil indicator to leverage basic Machine Learning Algorithms to help classify coil crossovers. The original Tesla Coil indicator requires extensive training and practice for the user to develop adequate intuition to interpret coil crossovers. The goal for this version is to help the user understand the underlying logic of the Tesla Coil indicator and provide a more intuitive way to interpret the indicator. The signals should be interpreted as suggestions rather than as a hard-coded set of rules. NOTE: Please do NOT trade off the signals blindly. Always try to use your own intuition for understanding the coils and check for confluence with other indicators before initiating a trade.
Pine Script® indicator
by jdehorty
25
Market Makers MoveV1,V2, & V3: New indicator release!! In this fantastic new indicator, you can do the following: - Specify a particular EMA crossing combination (between a fast and a slow ema line) - Specify the timeframe (can be independent or based on current chart timeframe, by default) - Select one of four possible potential profiles (ETFs Only, Crypto, and more!) OR input manually any of 40 possible tickers AND - Assess whether entry for calls or puts is appropriate based on price action on realtime view between 2 tickers, one which will be the highest (strongest) trend up and the other going the lowest (weakest) trend possible, all at the same time! This indicator is by no means financial advice!! So by all means, use according to proper assessment and risk management! There are various tooltips instilled to each field and table of the indicator, all to better guide you for better end results! Cheers! and good luck in you!!
Pine Script® indicator
by JuanLagos94
2
Market Timing(Mastersinnifty)Overview Market Timing (Mastersinnifty) is a proprietary visualization tool designed to help traders study historical market behavior through structural pattern similarity. The script analyzes the most recent session’s price action and identifies the closest-matching historical sequence among thousands of past patterns. Once a match is found, the script projects the subsequent historical price path onto the current chart for easy visual reference. Unlike traditional indicators, Market Timing (Mastersinnifty) does not generate trade signals. Instead, it offers a unique historical scenario analysis based on quantified structural similarity. --- How It Works - The script captures the last 20 closing prices and compares them to historical price sequences from the past 8000 bars. - Similarity is computed using the Euclidean distance formula (sum of squared differences) between the current pattern and historical candidates. - Upon finding the most similar past pattern, the subsequent historical movement is normalized relative to session opening and plotted onto the current chart using projection lines. - The projection automatically adapts to intraday, daily, weekly, or monthly timeframes, with the option for manual or automatic projection length settings. - Session start detection is handled automatically based on volume thresholds and price-time analysis to adjust for market openings across different instruments. --- Key Features - Historical Pattern Matching: Quantitative matching of the most similar past price structure. - Dynamic Projections: Visualizes likely historical scenarios based on past market behavior. - Auto/Manual Projection Length: Flexible control over the number of projected bars. - Multi-Timeframe Support: Works seamlessly across intraday, daily, weekly, and monthly charts. - Purely Visual Context: Designed to support human decision-making without replacing it with automatic trade signals. --- Who Can Benefit - Traders studying market structure repetition and price symmetry. - Visual thinkers who prefer scenario-based planning over fixed indicator systems. - Intraday, swing, and position traders looking for historical context to complement price action, volume, and momentum studies. --- How to Use - Apply the script to any asset — including indices, stocks, commodities, forex, or crypto. - Select your preferred timeframe. - Choose "Auto" or "Custom" for the projection length. - Observe the projected lines: - Upward slope = Historical bullish continuation. - Downward slope = Historical bearish continuation. - Flat movement = Historical sideways movement. - Combine insights with volume, support/resistance, and price action for better decision-making. --- Important Notes - This script does not predict the future. It offers a visual reference based on historical similarity. - Always validate projected scenarios with live market conditions. - Market structure evolves; past behavior may not repeat under new market dynamics. - Use this tool for educational and research purposes only. --- Disclaimer This is not financial advice. The Market Timing (Mastersinnifty) tool is intended for research and educational purposes only. Trading involves risk, and past performance does not guarantee future results. Always apply sound risk management practices.
Pine Script® indicator
by Mastersinnifty
Bitcoin Power Law OscillatorThis is the oscillator version of the script. The main body of the script can be found here. Understanding the Bitcoin Power Law Model Also called the Long-Term Bitcoin Power Law Model. The Bitcoin Power Law model tries to capture and predict Bitcoin's price growth over time. It assumes that Bitcoin's price follows an exponential growth pattern, where the price increases over time according to a mathematical relationship. By fitting a power law to historical data, the model creates a trend line that represents this growth. It then generates additional parallel lines (support and resistance lines) to show potential price boundaries, helping to visualize where Bitcoin’s price could move within certain ranges. In simple terms, the model helps us understand Bitcoin's general growth trajectory and provides a framework to visualize how its price could behave over the long term. The Bitcoin Power Law has the following function: Power Law = 10^(a + b * log10(d)) Consisting of the following parameters: a: Power Law Intercept (default: -17.668). b: Power Law Slope (default: 5.926). d: Number of days since a reference point(calculated by counting bars from the reference point with an offset). Explanation of the a and b parameters: Roughly explained, the optimal values for the a and b parameters are determined through a process of linear regression on a log-log scale (after applying a logarithmic transformation to both the x and y axes). On this log-log scale, the power law relationship becomes linear, making it possible to apply linear regression. The best fit for the regression is then evaluated using metrics like the R-squared value, residual error analysis, and visual inspection. This process can be quite complex and is beyond the scope of this post. Applying vertical shifts to generate the other lines: Once the initial power-law is created, additional lines are generated by applying a vertical shift. This shift is achieved by adding a specific number of days (or years in case of this script) to the d-parameter. This creates new lines perfectly parallel to the initial power law with an added vertical shift, maintaining the same slope and intercept. In the case of this script, shifts are made by adding +365 days, +2 * 365 days, +3 * 365 days, +4 * 365 days, and +5 * 365 days, effectively introducing one to five years of shifts. This results in a total of six Power Law lines, as outlined below (From lowest to highest): Base Power Law Line (no shift) 1-year shifted line 2-year shifted line 3-year shifted line 4-year shifted line 5-year shifted line The six power law lines: Bitcoin Power Law Oscillator This publication also includes the oscillator version of the Bitcoin Power Law. This version applies a logarithmic transformation to the price, Base Power Law Line, and 5-year shifted line using the formula: log10(x) . The log-transformed price is then normalized using min-max normalization relative to the log-transformed Base Power Law Line and 5-year shifted line with the formula: normalized price = log(close) - log(Base Power Law Line) / log(5-year shifted line) - log(Base Power Law Line) Finally, the normalized price was multiplied by 5 to map its value between 0 and 5, aligning with the shifted lines. Interpretation of the Bitcoin Power Law Model: The shifted Power Law lines provide a framework for predicting Bitcoin's future price movements based on historical trends. These lines are created by applying a vertical shift to the initial Power Law line, with each shifted line representing a future time frame (e.g., 1 year, 2 years, 3 years, etc.). By analyzing these shifted lines, users can make predictions about minimum price levels at specific future dates. For example, the 5-year shifted line will act as the main support level for Bitcoin’s price in 5 years, meaning that Bitcoin’s price should not fall below this line, ensuring that Bitcoin will be valued at least at this level by that time. Similarly, the 2-year shifted line will serve as the support line for Bitcoin's price in 2 years, establishing that the price should not drop below this line within that time frame. On the other hand, the 5-year shifted line also functions as an absolute resistance , meaning Bitcoin's price will not exceed this line prior to the 5-year mark. This provides a prediction that Bitcoin cannot reach certain price levels before a specific date. For example, the price of Bitcoin is unlikely to reach $100,000 before 2021, and it will not exceed this price before the 5-year shifted line becomes relevant. After 2028, however, the price is predicted to never fall below $100,000, thanks to the support established by the shifted lines. In essence, the shifted Power Law lines offer a way to predict both the minimum price levels that Bitcoin will hit by certain dates and the earliest dates by which certain price points will be reached. These lines help frame Bitcoin's potential future price range, offering insight into long-term price behavior and providing a guide for investors and analysts. Lets examine some examples: Example 1: In Example 1 it can be seen that point A on the 5-year shifted line acts as major resistance . Also it can be seen that 5 years later this price level now corresponds to the Base Power Law Line and acts as a major support at point B(Note: Vertical yearly grid lines have been added for this purpose👍). Example 2: In Example 2, the price level at point C on the 3-year shifted line becomes a major support three years later at point D, now aligning with the Base Power Law Line. Finally, let's explore some future price predictions, as this script provides projections on the weekly timeframe : Example 3: In Example 3, the Bitcoin Power Law indicates that Bitcoin's price cannot surpass approximately $808K before 2030 as can be seen at point E, while also ensuring it will be at least $224K by then (point F).
Pine Script® indicator
by Cryptonerds
Yearly History Calendar-Aligned Price up to 10 Years)Overview This indicator helps traders compare historical price patterns from the past 10 calendar years with the current price action. It overlays translucent lines (polylines) for each year’s price data on the same calendar dates, providing a visual reference for recurring trends. A dynamic table at the top of the chart summarizes the active years, their price sources, and history retention settings. Key Features Historical Projections Displays price data from the last 10 years (e.g., January 5, 2023 vs. January 5, 2024). Price Source Selection Choose from Open, Low, High, Close, or HL2 ((High + Low)/2) for historical alignment. The selected source is shown in the legend table. Bulk Control Toggles Show All Years : Display all 10 years simultaneously. Keep History for All : Preserve historical lines on year transitions. Hide History for All : Automatically delete old lines to update with current data. Individual Year Settings Toggle visibility for each year (-1 to -10) independently. Customize color and line width for each year. Control whether to keep or delete historical lines for specific years. Visual Alignment Aids Vertical lines mark yearly transitions for reference. Polylines are semi-transparent for clarity. Dynamic Legend Table Shows active years, their price sources, and history status (On/Off). Updates automatically when settings change. How to Use Configure Settings Projection Years : Select how many years to display (1–10). Price Source : Choose Open, Low, High, Close, or HL2 for historical alignment. History Precision : Set granularity (Daily, 60m, or 15m). Daily (D) is recommended for long-term analysis (covers 10 years). 60m/15m provides finer precision but may only cover 1–3 years due to data limits. Adjust Visibility & History Show Year -X : Enable/disable specific years for comparison. Keep History for Year -X : Choose whether to retain historical lines or delete them on new year transitions. Bulk Controls Show All Years : Display all 10 years at once (overrides individual toggles). Keep History for All / Hide History for All : Globally enable/disable history retention for all years. Customize Appearance Line Width : Adjust polyline thickness for better visibility. Colors : Assign unique colors to each year for easy identification. Interpret the Legend Table The table shows: Year : Label (e.g., "Year -1"). Source : The selected price type (e.g., "Close", "HL2"). Keep History : Indicates whether lines are preserved (On) or deleted (Off). Tips for Optimal Use Use Daily Timeframes for Long-Term Analysis : Daily (1D) allows 10+ years of data. Smaller timeframes (60m/15m) may have limited historical coverage. Compare Recurring Patterns : Look for overlaps between historical polylines and current price to identify potential support/resistance levels. Customize Colors & Widths : Use contrasting colors for years you want to highlight. Adjust line widths to avoid clutter. Leverage Global Toggles : Enable Show All Years for a quick overview. Use Keep History for All to maintain continuity across transitions. Example Workflow Set Up : Select Projection Years = 5. Choose Price Source = Close. Set History Precision = 1D for long-term data. Customize : Enable Show Year -1 to Show Year -5. Assign distinct colors to each year. Disable Keep History for All to ensure lines update on year transitions. Analyze : Observe how the 2023 close prices align with 2024’s price action. Use vertical lines to identify yearly boundaries. Common Questions Why are some years missing? Ensure the chart has sufficient historical data (e.g., daily charts cover 10 years, 60m/15m may only cover 1–3 years). How do I update the data? Adjust the Price Source or toggle years/history settings. The legend table updates automatically.
Pine Script® indicator
by ashyphoenix