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Daily Asian RangeDaily Asian Range Indicator This indicator is an enhanced version inspired by @toodegrees' "ICT Friday's Asian Range" indicator. While maintaining the core concepts, this version expands functionality for daily analysis and adds comprehensive customization options. ### Overview The Asian Range indicator identifies and visualizes potential liquidity areas based on price action during the Asian session (8:00 PM - 12:00 AM ET). It plots both body and wick ranges along with multiple standard deviation levels that can serve as potential price targets or areas of interest. ### Features - Flexible Display Options - Choose between Body, Wick, or Both for range boxes and deviation lines - Customizable colors, styles, and borders for all visual elements - Historical sessions display (0-20 previous sessions) - Advanced Standard Deviation Levels - Multiple deviation multipliers (1.0, 1.5, 2.0, 2.3, 3.5) - Separate visualization for body and wick-based deviations - Clear labeling system for easy identification - Precise Time Management - Asian session: 8:00 PM - 12:00 AM ET - Deviation lines extend through the following trading day - Proper timezone handling for accuracy ### Usage - Works on timeframes from 1 to 15 minutes - Use the range boxes to identify key price levels from the Asian session - Standard deviation levels can serve as potential targets or areas of interest - Combine with other indicators for enhanced analysis ### Credits Original concept and base implementation by @toodegrees Enhanced and expanded by @Omarqqq ### Disclaimer This indicator is for educational and informational purposes only. Always conduct your own analysis and use proper risk management.
อินดิเคเตอร์ Pine Script™
โดย Omarqqq
4
Lead-Lag Market Detector [CryptoSea]The Lead-Lag Market Detector is an advanced tool designed to help traders identify leading and lagging assets within a chosen market. This indicator leverages correlation analysis to rank assets based on their influence, making it ideal for traders seeking to optimise their portfolio or spot key market trends. Key Features Dynamic Asset Ranking: Utilises real-time correlation calculations to rank assets by their influence on the market, helping traders identify market leaders and laggers. Customisable Parameters: Includes adjustable lookback periods and correlation thresholds to adapt the analysis to different market conditions and trading styles. Comprehensive Asset Coverage: Supports up to 30 assets, offering broad market insights across cryptocurrencies, stocks, or other markets. Gradient-Enhanced Table Display: Presents results in a colour-coded table, where assets are ranked dynamically with influence scores, aiding in quick visual analysis. In the example below, the ranking highlights how assets tend to move in groups. For instance, BTCUSDT, ETHUSDT, BNBUSDT, SOLUSDT, and LTCUSDT are highly correlated and moving together as a group. Similarly, another group of correlated assets includes XRPUSDT, FILUSDT, APEUSDT, XTZUSDT, THETAUSDT, and CAKEUSDT. This grouping of assets provides valuable insights for traders to diversify or spread exposure. If you believe one asset in a group is likely to perform well, you can spread your exposure into other correlated assets within the same group to capitalise on their collective movement. Additionally, assets like AVAXUSDT and ZECUSDT, which appear less correlated or uncorrelated with the rest, may offer opportunities to act as potential hedges in your trading strategy. How it Works Correlation-Based Scoring: Calculates pairwise correlations between assets over a user-defined lookback period, identifying assets with high influence scores as market leaders. Customisable Thresholds: Allows traders to define a correlation threshold, ensuring the analysis focuses only on significant relationships between assets. Dynamic Score Calculation: Scores are updated dynamically based on the timeframe and input settings, providing real-time insights into market behaviour. Colour-Enhanced Results: The table display uses gradients to visually distinguish between leading and lagging assets, simplifying data interpretation. Application Portfolio Optimisation: Identifies influential assets to help traders allocate their portfolio effectively and reduce exposure to lagging assets. Market Trend Identification: Highlights leading assets that may signal broader market trends, aiding in strategic decision-making. Customised Trading Strategies: Adapts to various trading styles through extensive input settings, ensuring the analysis meets the specific needs of each trader. The Lead-Lag Market Detector by is an essential tool for traders aiming to uncover market leaders and laggers, navigate complex market dynamics, and optimise their trading strategies with precision and insight.
อินดิเคเตอร์ Pine Script™
โดย CryptoSeaTV
Gemini Supreme Bot - CompoundingThis bot rides major market trends with a dynamic stop-loss that adapts to volatility. It uses compounding to reinvest profits, accelerating growth. Trend Following + Momentum: ADX, moving averages, and RSI confirm strong entries. Adaptive Risk Management: Risk is controlled with a percentage-based stop-loss and position sizing. Compounding for Growth: Profits are reinvested to boost returns. Backtest and optimize to unleash its full potential!
กลยุทธ์ Pine Script™
โดย peralta46996
Global Liquidity Index 10 Week LeadThis script is an extension of the Global Liquidity Index , incorporating a key modification: a 10-week lead adjustment. The indicator values are shifted forward by 10 weeks, dynamically adapting to the chart's timeframe (daily, weekly, monthly). This adjustment plots the lead values ahead of the current time, offering a clearer visual alignment with potential future trends. The approach aligns with the theory explored and popularized by Michael Howell of CrossBorder Capital and Raoul Pal of Global Macro Investor, which suggests that Bitcoin typically lags global liquidity by approximately 8 to 12 weeks. The Global Liquidity Index is calculated based on the following components: Major Central Banks: Federal Reserve System (FED) - Treasury General Account (TGA) - Reverse Repurchase Agreements (RRP) + European Central Bank (ECB) + People's Bank of China (PBC) + Bank of Japan (BOJ) + Bank of England (BOE) + Bank of Canada (BOC) + Reserve Bank of Australia (RBA) + Reserve Bank of India (RBI) + Swiss National Bank (SNB) + Central Bank of the Russian Federation (CBR) + Central Bank of Brazil (BCB) + Bank of Korea (BOK) + Reserve Bank of New Zealand (RBNZ) + Sweden's Central Bank (Riksbank) + Central Bank of Malaysia (BNM). M2 Money Supply: Includes M2 for the USA, Europe, China, Japan, UK, Canada, Australia, India, Switzerland, Russia, Brazil, Korea, Mexico, Indonesia, South Africa, Malaysia, and Sweden.
อินดิเคเตอร์ Pine Script™
โดย TheCosmicLine
Minute Markers ATT MethodStrategic Implementation Guide: Time-Based Market Analysis Indicator Overview: The Minute Markers indicator is designed to provide traders with precise time-based reference points throughout the trading session. By marking specific minutes of each hour with vertical lines, this tool enables traders to identify potential market turning points and execute trades with enhanced timing precision. Key Features: The indicator displays vertical lines at minutes 3, 11, 17, 29, 41, 47, 53, and 59 of each hour within user-defined trading hours. These specific time markers have been selected to align with common institutional trading patterns and market microstructure elements. Strategic Applications: Market Structure Analysis: The indicator helps traders identify recurring patterns in market behavior at specific times during each hour. This can be particularly valuable for understanding institutional order flow and potential price action patterns that may develop around these time points. Trade Timing Optimization: Traders can use these time markers to: Refine entry and exit points for their trades Avoid entering positions during potentially volatile time periods Plan their trades around known institutional trading windows Coordinate their trading activities with specific market events Risk Management: The customizable trading hours feature allows traders to focus on their preferred market sessions while avoiding periods of reduced liquidity or increased volatility. This can help in managing risk exposure during specific market conditions. Implementation Recommendations: Initial Observation Phase: Begin by observing how your traded instruments behave around these time markers over several trading sessions. Document any recurring patterns or notable price action characteristics. Pattern Recognition: Pay particular attention to: Price reaction at these time points Volume changes around the marked times Trend continuation or reversal patterns Changes in volatility Strategy Integration: Incorporate these time markers into your existing trading strategy by: Using them as potential entry or exit points Setting time-based stop losses Planning position sizing based on time-related volatility patterns Adjusting trade management techniques around these specific times Performance Optimization: The indicator's customizable visual settings allow traders to: Adjust line styles for better visibility Modify colors to match their chart theme Set specific trading hours to focus on their preferred sessions Conclusion: The Minute Markers indicator serves as a sophisticated timing tool that can enhance trading precision and market analysis capabilities. When properly integrated into a comprehensive trading strategy, it can provide valuable insights into market structure and help optimize trade execution timing.
อินดิเคเตอร์ Pine Script™
โดย greenmansoup
SPXL strategy based on HighYield Spread (TearRepresentative56)This strategy is focused on leveraged funds (SPXL as basis that stands for 3x S&P500) and aims at maximising profit while keeping potential drawdowns at measurable level Originally created by TearRepresentative56, I`m not the author of the concept, just backtesting it and sharing with the community Key idea : Buy or Sell AMEX:SPXL SPXL if triggered Trigger: HighYield Spread Change ( FRED:BAMLH0A0HYM2 BAMLH0A0HYM2). BAMLH0A0HYM2 can be used as indicator of chop/decline market (if spread rises significantly) How it works : 1. Track BAMLH0A0HYM2 for 30% decline from local high marks the 'buy' trigger for SPXL (with all available funds) 2. When BAMLH0A0HYM2 increases 30% from local low (AND is higher then 330d EMA) strategy will signal with 'sell' trigger (sell all available contracts) 3. When in position strategy shows signal to DCA each month (adding contracts to position) Current version update : Added DCA function User can provide desired amount of funds added into SPXL each month. Funds will be added ONLY when user holds position already and avoids DCAing while out of the market (while BAML is still high) Backtesting results : 11295% for SPXL (since inception in 2009) with DCAing of 500USD monthly 4547% for SPXL (since inception in 2009) without DCA (only 10 000USD invested initially) For longer period: even with SP500 (no leverage) the strategy provides better results than Buy&Hold (420% vs 337% respectively since 1999) Default values (can be changed by user): Start investing amount = 10 000 USD Decline % (Entry trigger) = 30% Rise % (Exit trigger) = 30% Timeframe to look for local high/low = 180 days DCA amount = 500 USD Inflation yearly rate for DCA amount = 2% EMA to track = 330d Important notes : 1. BAMLH0A0HYM2 is 1 day delayed (that provides certain lag) 2. Highly recommended to select 'on bar close' option in properties of the strategy 3. Please use DAILY SPXL chart. 4. Strategy can be used with any other ticker - SPX, QQQ or leveraged analogues (while basic scenario is still in SPXL)
กลยุทธ์ Pine Script™
โดย theresagoldensky
Futuro Trading - TrendDouble EMA & Nadaraya-Watson Regression Indicator This indicator combines two Exponential Moving Averages (EMAs) with the Nadaraya-Watson regression for a comprehensive trend analysis. Features Double EMA: Two customizable EMAs to help identify market trends and potential crossovers. Nadaraya-Watson Regression: A smoothing technique that enhances trend visibility by filtering out market noise. Flexible Settings: Adjustable EMA lengths and colors for personalized use. Clear Visualization: The indicator is displayed directly on the price chart for easy interpretation. How to Use EMA Crossovers: A bullish signal may occur when the short EMA crosses above the long EMA. A bearish signal may occur when the short EMA crosses below the long EMA. Nadaraya-Watson Regression: Provides a smooth trend representation, helping to filter out market fluctuations. Useful for swing trading and trend confirmation. Advantages This indicator merges trend-following and advanced smoothing methods to improve the visualization of both short- and long-term trends. It is suitable for various trading styles, including scalping, swing trading, and position trading. This publication is for educational purposes only and does not constitute financial advice. Always test the indicator on a demo account before using it in live trading.
อินดิเคเตอร์ Pine Script™
โดย LucianoDaPonte
Thrax - Pullback based short side scalping⯁ This indicator is built for short trades only. ⤞ Pullback based scalping is a strategy where a trader anticipates a pullback and makes a quick scalp in this pullback. This strategy usually works in a ranging market as probability of pullbacks occurrence in ranging market is quite high. ⤞ The strategy is built by first determining a possible candidate price levels having high chance of pullbacks. This is determined by finding out multiple rejection point and creating a zone around this price. A rejection is considered to be valid only if it comes to this zone after going down by a minimum pullback percentage. Once the price has gone down by this minimum pullback percentage multiple times and reaches the zone again chances of pullback goes high and an indication on chart for the same is given. ⯁ Inputs ⤞ Zone-Top : This input parameter determines the upper range for the price zone. ⤞ Zone bottom : This input parameter determines the lower range for price zone. ⤞ Minimum Pullback : This input parameter determines the minimum pullback percentage required for valid rejection. Below is the recommended settings ⤞ Lookback : lookback period before resetting all the variables ⬦Below is the recommended settings across timeframes ⤞ 15-min : lookback – 24, Pullback – 2, Zone Top Size %– 0.4, Zone Bottom Size % – 0.2 ⤞ 5-min : lookback – 50, pullback – 1% - 1.5%, Zone Top Size %– 0.4, Zone Bottom Size % – 0.2 ⤞ 1-min : lookback – 100, pullback – 1%, Zone Top Size %– 0.4, Zone Bottom Size % – 0.2 ⤞ Anything > 30-min : lookback – 11, pullback – 3%, Zone Top Size %– 0.4, Zone Bottom Size % – 0.2 ✵ This indicator gives early pullback detection which can be used in below ways 1. To take short trades in the pullback. 2. To use this to exit an existing position in the next few candles as pullback may be incoming. 📌 Kindly note, it’s not necessary that pullback will happen at the exact point given on the chart. Instead, the indictor gives you early signals for the pullback ⯁ Trade Steup 1. Wait for pullback signal to occur on the chart. 2. Once the pullback warning has been displayed on the chart, you can either straight away enter the short position or wait for next 2-4 candles for initial sign of actual pullback to occurrence. 3. Once you have initiated short trade, since this is pullback-based strategy, a quick scalp should be made and closed as price may resume it’s original direction. If you have risk appetite you can stay in the trade longer and trial the stops if price keeps pulling back. 4. You can zone top as your stop, usually zone top + some% should be used as stop where ‘some %’ is based on your risk appetite. 5. It’s important to note that this indicator gives early sings of pullback so you may actually wait for 2-3 candles post ‘Pullback warning’ occurs on the chart before entering short trade.
อินดิเคเตอร์ Pine Script™
โดย thraxalgo
Adaptive Momentum Cycle Oscillator (AMCO)1. Concept and Foundation The Adaptive Momentum Cycle Oscillator (AMCO) is an advanced indicator designed to dynamically adjust to varying market conditions while identifying price cycles and trends. It combines momentum and volatility into a single, oscillating signal that helps traders detect turning points in price movements. By incorporating adaptive periods and trend filtering, AMCO ensures relevance across different asset classes and timeframes. This innovation bridges the gap between traditional oscillators and trending indicators, providing a comprehensive tool for both cycle identification and trend confirmation. 2. Dynamic Adaptation to Market Conditions A standout feature of AMCO is its ability to adapt its sensitivity based on market volatility. Using the ATR (Average True Range) as a measure of current volatility, AMCO adjusts its calculation periods dynamically. During periods of high volatility, it extends its lookback periods to smooth out noise and avoid false signals. Conversely, in low-volatility environments, it shortens its periods to remain responsive to smaller price fluctuations. This adaptability ensures that AMCO remains effective and reliable in both trending and ranging markets. 3. Trend Awareness and Directional Weighting AMCO integrates a trend filter based on a long-term moving average, such as SMA(200), to align its signals with the broader market direction. This filter ensures that buy signals are prioritized during uptrends and sell signals during downtrends, reducing counter-trend trades. Additionally, a directional weighting mechanism amplifies momentum signals that align with the prevailing trend. This dual-layer approach significantly enhances the accuracy of signals, making AMCO especially useful in markets with clear directional bias. 4. Normalized Visualization for Clarity The AMCO includes a normalized histogram that provides a clear visual representation of momentum strength relative to recent volatility. By dividing the raw AMCO value by the ATR, the histogram ensures consistency across assets with varying price ranges and volatility levels. Positive bars indicate bullish momentum, while negative bars signify bearish momentum. This intuitive visualization makes it easier for traders to interpret market dynamics and act on actionable signals, regardless of asset type or timeframe. 5. Practical and Actionable Signals AMCO generates practical signals based on zero-line crossovers, allowing traders to easily identify shifts between bullish and bearish cycles. Positive values above the zero line suggest upward momentum, signaling potential buying opportunities, while negative values below the zero line indicate downward momentum, signaling potential sell opportunities. By combining adaptive behavior, trend filtering, and momentum-strength normalization, AMCO offers traders a robust framework for navigating complex markets with confidence. Its versatility makes it suitable for scalping, swing trading, and even longer-term investing.
อินดิเคเตอร์ Pine Script™
โดย GustafValentine
Momentum Cycle Oscillator (MCO)1. Concept and Inspiration The Momentum Cycle Oscillator (MCO) is a unique indicator designed to combine volatility and momentum into a unified tool for identifying market cycles. Traditional indicators often isolate either momentum (e.g., RSI) or volatility (e.g., Bollinger Bands), but the MCO bridges the gap by synthesizing these dimensions into one oscillating signal. By measuring price acceleration (momentum) and range consistency (volatility), the MCO aims to detect when a price cycle is shifting from contraction to expansion or vice versa, signaling potential trend reversals or continuations. Its zero-centered design provides a clear demarcation between bullish and bearish cycles. 2. Mathematical Structure The MCO is built on two foundational components: the volatility factor and the momentum factor. The volatility factor quantifies the price range over a defined period, highlighting market consistency and expansion. Meanwhile, the momentum factor assesses the rate of change in smoothed closing prices, revealing directional acceleration. These two factors are multiplied to create the raw MCO value, which is further smoothed to reduce noise and improve readability. The resulting oscillator fluctuates around zero, with positive values indicating upward cycles and negative values signaling downward cycles. 3. Practical Applications The MCO excels in identifying cycle turning points, where the market transitions from a bearish phase to a bullish phase or vice versa. Traders can use the zero line as a reference: a crossover from below to above zero suggests a potential buy signal, while a crossover from above to below zero indicates a sell signal. The MCO’s unique blend of volatility and momentum also helps detect shifts in trend strength, making it valuable in both trending and ranging markets. Its histogram visualization further aids traders by emphasizing the magnitude and direction of market momentum. 4. Innovative Features What sets the MCO apart is its ability to adapt dynamically to market conditions. By fusing two dimensions of market behavior—volatility and momentum—it provides a holistic view of price action. Unlike traditional indicators that rely heavily on recursion (e.g., EMA), the MCO’s straightforward calculation reduces lag, ensuring timely signals. Furthermore, its use of normalized components allows it to function effectively across diverse assets and timeframes without extensive parameter tuning. This makes it particularly versatile for both intraday traders and long-term investors. 5. Limitations and Potential While the MCO is robust, it is not immune to challenges. In highly choppy or low-volume markets, the indicator may generate false signals, as volatility and momentum can be erratic. Additionally, its performance depends on proper parameter calibration, with periods requiring adjustment to align with the asset’s behavior. However, its creative approach to combining volatility and momentum offers immense potential for refinement and customization. With proper backtesting and optimization, the MCO could become a staple tool for traders seeking a comprehensive yet simple way to interpret market cycles.
อินดิเคเตอร์ Pine Script™
โดย GustafValentine
SW monthly Gann Days**Script Description:** The script you are looking at is based on the work of W.D. Gann, a famous trader and market analyst in the early 20th century, known for his use of geometry, astrology, and numerology in market analysis. Gann believed that certain days in the market had significant importance, and he observed that markets often exhibited significant price moves around specific dates. These dates were typically associated with cyclical patterns in price movements, and Gann referred to these as "Gann Days." In this script, we have focused on highlighting certain days of the month that Gann believed to have an influence on market behavior. The specific days in question are the **6th to 7th**, **9th to 10th**, **14th to 15th**, **19th to 20th**, **23rd to 24th**, and **29th to 31st** of each month. These ranges are based on Gann’s theory that there are recurring time cycles in the market that cause turning points or critical price movements to occur around certain days of the month. ### **Why Gann Used These Days:** 1. **Mathematical and Astrological Cycles:** Gann believed that markets were influenced by natural cycles, and that certain dates (or combinations of dates) played a critical role in the price movements. These specific days are part of his broader theory of "time cycles" where the market would often change direction, reverse, or exhibit significant volatility on particular days. Gann's research was based on both mathematical principles and astrological observations, leading him to assign importance to these days. 2. **Gann's Universal Timing Theory:** According to Gann, financial markets operate in a universe governed by geometric and astrological principles. These cycles repeat themselves over time, and specific days in a given month correspond to key turning points within these repeating cycles. Gann found that the 6th to 7th, 9th to 10th, 14th to 15th, 19th to 20th, 23rd to 24th, and 29th to 31st often marked significant changes in the market, making them particularly important for traders to watch. 3. **Market Psychology and Sentiment:** These specific days likely correspond to key moments where market participants tend to react in predictable ways, influenced by past market behavior on similar dates. For example, news events or scheduled economic reports might fall within these time windows, causing the market to respond in a particular way. Gann's method involves using these cyclical patterns to predict turning points in market prices, enabling traders to anticipate when the market might make a reversal or face a significant shift in direction. 4. **Turning Points:** Gann believed that markets often reversed or encountered critical points around specific dates. This is why he considered certain days more important than others. By identifying and focusing on these days, traders can better anticipate the market’s movement and make more informed trading decisions. 5. **Numerology:** Gann also utilized numerology in his trading system, believing that numbers, and particularly certain key numbers, had significance in predicting market movements. The days selected in this script may correspond to numerological patterns that Gann identified in his analysis of the markets, such as recurring numbers in his astrological and geometric systems. ### **Purpose of the Script:** This script highlights these "Gann Days" within a trading chart for 2024 and 2025. The color-coding or background highlighting is intended to draw attention to these dates, so traders can observe the potential for significant market movements during these times. By identifying these specific dates, traders following Gann's theories may gain insights into possible turning points, corrections, or key price movements based on the market's historical behavior around these days. Overall, Gann’s use of specific days was based on his deep belief in the cyclical nature of the market and his attempt to tie those cycles to the natural laws of time, geometry, and astrology. By focusing on these dates, Gann aimed to give traders an edge in predicting significant market events and price shifts.
อินดิเคเตอร์ Pine Script™
โดย scott_wyatt14
BTC Mercenary ModelBitcoin Market Cycle Evaluation Using Subjective Z-Scores Introduction: I've crafted a unique indicator for Bitcoin that synthesizes multiple market indicators into a single, actionable Z-score, aiming to offer insights into the current market cycle phase. Here's the methodology: Methodology: Alpha Validation: Each component indicator has been tested for its predictive power (alpha) against Bitcoin's market cycle peaks and troughs from at least the last two cycles. This ensures each indicator contributes meaningfully to our model. Z-Score Synthesis: By converting each indicator's value into a Z-score, we normalize their contributions. The average of these Z-scores provides a refined signal, indicating whether Bitcoin is in an overbought or oversold state relative to historical norms. Features: Individual Indicator Customization: Users can tweak inputs to optimize each indicator's alpha, enhancing the model's predictive accuracy. Historical Averages: The script provides visibility into how both technical and fundamental indicators have scored in the past, offering a benchmark for current conditions. ROC Flexibility: Adjust the Rate of Change (ROC) period to suit your analysis timeframe, allowing for more personalized market cycle interpretation. Indicators Integrated: Fundamental: MVRV (Market Value to Realized Value) - Measures market sentiment vs. actual value. Bitcoin Thermocap - Relates Bitcoin's market cap to its transaction volume. NUPL (Net Unrealized Profit/Loss) - Indicates holder's profit or loss status. CVDD (Coin Days Destroyed) - Shows the movement of long-held coins. SOPR (Spent Output Profit Ratio) - Highlights whether coins are being spent at a profit or loss. Technical: RSI (Relative Strength Index) - Identifies overbought/oversold conditions. CCI (Commodity Channel Index) - Detects cyclical turns in Bitcoin's price. Multiple Moving Averages - For trend analysis over various time frames. Sharpe Ratio - Evaluates risk-adjusted return. Pi Cycle Indicator - Predicts cycle tops based on moving average crossovers. Hodrick-Prescott Filter - Separates trend from cycle in price data. VWAP (Volume Weighted Average Price) - Provides a trading benchmark. How It Works Together: This model uses a weighted average of Z-scores from these indicators to give a comprehensive view of Bitcoin's market cycle. The Z-scores are not just summed but considered in context; for example, when fundamental indicators like MVRV suggest an overvaluation while technical ones like RSI indicate a near-term correction, the model's output reflects this nuanced interaction. Future Developments: The next step is to include sentiment analysis, potentially from social media or news sentiment, to further refine our cycle predictions. Chart Example: Symbol/Timeframe: BTCUSD on a daily chart. Script Name: Bitcoin Cycle Z-Score Evaluator Feedback Encouraged: I'm eager to receive feedback on how this model could be further tailored or expanded for better market insights. -CM
อินดิเคเตอร์ Pine Script™
โดย Crypto_Mercenary_