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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.
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GustafValentine의
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.
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GustafValentine의
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.
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scott_wyatt14의
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
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Crypto_Mercenary_의
Sag MacdThe main change in this code is the src variable. Instead of using an input for the source, it now calculates the 14-period RSI of the close price: text src = ta.rsi(close, 14) This modification means that the MACD indicator will now be based on the RSI values rather than the original price data. The RSI is calculated using the default period of 14, which is a commonly used setting. The rest of the code remains the same, applying the MACD calculations to the RSI values. This will result in a MACD indicator that reflects the momentum of the RSI rather than the price directly, potentially providing different insights into the market dynamics
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loaderelite의
Multi-Timeframe Candles HistogramsAt some community members' requests, I have built on the original code to make it a single indicator with the option for users to check off which timeframes they want to be shown. Choices are 1-hour, daily, weekly, and monthly. I couldn't figure out how to separate each timeframe into its own histogram, so this is the best I can offer at the moment. If any community member wants to take a crack at it, be my guest. Colors are customizable. If you have a paid TW account, you can lay it down twice and put the hour and daily on one and the weekly and monthly on the other. That said, I hope you enjoy this version of this indicator. R.I.P. Rob Smith, creator of TheStrat. --- Key Features and Benefits 1. Custom Timeframe Selection: - Choose from an array of timeframes ranging from minutes to months, giving you complete flexibility in your market analysis. - Quickly switch between different timeframes (e.g., 1-hour, daily, or weekly) to track continuity across varying levels. 2. Visual Representation of High/Low Markers: - Enable or disable the display of high and low points to better understand price ranges and reversals. - These markers allow you to spot key turning points on different timeframes, facilitating better entry or exit decisions. 3. Enhanced Candle Visualization: - Displays candles with precise price levels aligned to your chosen timeframe, giving a clearer view of price trends. - Candles are color-coded to reflect price movement, which is customizable by the user. --- How to Use This Indicator Monitor Multiple Timeframes Simultaneously: - Place the indicator on your chart and choose the timeframes you want to follow (e.g., hourly, daily, weekly, monthly). - For each instance, checkmark the desired timeframes in the menu to ensure that you’re tracking the right period. Achieve Timeframe Continuity: - By aligning lower timeframes with higher ones, this tool helps you confirm trends, detect reversals, and avoid trades that go against the broader market movement. --- Why This Indicator is Valuable for Traders This tool simplifies a core principle of TheStrat—full timeframe continuity—by visually representing price action across multiple timeframes in a clear and actionable way. It removes the guesswork and helps traders stay in sync with market momentum, regardless of the timeframe they are analyzing. This solution offers flexibility, clarity, and speed, enabling traders to quickly grasp critical movements and improve decision-making. Whether you are a scalper focusing on intraday moves or a swing trader watching weekly trends, this tool empowers you to maintain alignment with the overall market structure. In essence, it brings the power of TheStrat to your fingertips by offering precise and easy-to-read visual aids, allowing you to seamlessly apply Rob Smith’s philosophy to your trading.
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hardwaybets의
BTC vs Mag7 Combined IndexThis Mag7 Combined Index script is a custom TradingView indicator that calculates and visualizes the collective performance of the Magnificent 7 (Mag7) stocks—Apple, Microsoft, Alphabet, Amazon, NVIDIA, Tesla, and Meta (red line) compared to Bitcoin (blue line). It normalizes the daily closing prices of each stock to their initial value on the chart, scales them into percentages, and then computes their simple average to form a combined index. The result is plotted as a single red line, offering a clear view of the aggregated performance of these influential stocks over time compared to Bitcoin. This indicator is ideal for analyzing the overall market impact of Bitcoin compared to the Mag7 stocks.
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DestelloMan의
Advanced Ichimoku SignalThe Advanced Ichimoku Signal is an innovative indicator that combines the strengths of the Ichimoku Cloud system with enhanced signal processing features. This tool is designed to provide traders with clearer insights into market trends and potential trading opportunities. Key Features of the Advanced Ichimoku Signal 1. Integration of Ichimoku Components: - The indicator utilizes essential Ichimoku elements such as **Tenkan-sen** (Conversion Line) and **Kijun-sen** (Base Line) to determine short-term and long-term market trends. 2. Enhanced Signal Logic: - It incorporates a Weighted Moving Average (WMA) to smooth price data, allowing for better trend identification and reducing noise in volatile markets. 3. Customizable Parameters: - Traders can adjust various parameters, including the lengths of the Tenkan-sen, Kijun-sen, and WMA, as well as their colors and thicknesses for improved visibility. 4. Dynamic Visual Signals: - The background color changes based on bullish or bearish conditions, providing immediate visual cues for potential trade setups. 5. Signal Strength Calculation: - The indicator calculates the strength of signals based on the distance between the closing price and the WMA, helping traders gauge the reliability of trade signals. Importance of the Advanced Ichimoku Signal - Trend Analysis: By combining multiple indicators, traders can identify both short-term and long-term trends effectively. - Improved Decision Making: The clear visual signals help traders make informed decisions quickly, reducing the chances of emotional trading. - Flexibility in Trading Strategies: The customizable nature of the indicator allows it to fit various trading styles, whether scalping or long-term investing. - Risk Management: Understanding market momentum through this indicator aids in better risk management by providing clear entry and exit points. Conclusion The Advanced Ichimoku Signal is a powerful tool for traders looking to enhance their market analysis capabilities. With its advanced features and customizable settings, it offers a comprehensive approach to identifying trading opportunities in various market conditions. Integrating this indicator into your trading strategy can lead to more informed decisions and improved trading performance.
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s47marsac의
Triple Power Stop [CHE]Triple Power Stop This indicator provides a comprehensive multi-timeframe approach for stop level and trend analysis, tailored for traders who want enhanced precision and adaptability in their trading strategies. Here's what makes the Triple Power Stop (CHE) stand out: Key Features: 1. ATR-Based Stop Levels: - Uses the Average True Range (ATR) to dynamically calculate stop levels, ensuring sensitivity to market volatility. - Adjustable ATR multiplier for fine-tuning the stop levels to fit different trading styles. 2. Multi-Timeframe Analysis: - Evaluates trends across three different timeframes with user-defined multipliers. - Enables deeper insight into the market's broader context while keeping the focus on precision. 3. Dynamic Volatility Adjustment: - Introduces a unique volatility factor to enhance stop-level calculations. - Adapts to market conditions, offering reliable support for both trending and ranging markets. 4. Clear Trend Visualization: - Stop levels and trends are visually represented with color-coded lines (green for uptrend, red for downtrend). - Seamlessly integrates trend changes and helps identify potential reversals. 5. Signal Alerts: - Long and short entry signals are plotted directly on the chart for actionable insights. - Eliminates guesswork and provides clarity in decision-making. 6. Customizability: - Adjustable parameters such as ATR length, multipliers, and label counts, allowing traders to tailor the indicator to their strategies. Practical Use: The Triple Power Stop (CHE) is ideal for traders who want to: - Manage risk effectively: With dynamically calculated stop levels, traders can protect their positions while allowing room for natural market fluctuations. - Follow the trend: Multi-timeframe trend detection ensures alignment with broader market movements. - Simplify decisions: Clear visual indicators and signals make trading decisions more intuitive and less stressful. How to Use: 1. Set the ATR length and multiplier values based on your risk tolerance and trading strategy. 2. Choose multipliers for different timeframes to adapt the indicator to your preferred resolutions. 3. Use the color-coded trend lines and entry signals to time your trades and manage positions efficiently. Disclaimer: The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Enhance your trading precision and confidence with Triple Power Stop (CHE)! 🚀 Happy trading Chervolino
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chervolino의
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