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Filtered Waves [NXT2017] #Linda Raschke #basics on Arthur MerrilHI BIG PLAYERS, this script I wrote for an enquiry of a tradingview-user. It should represent the Filtered Waves idea from Arthur Merril and used by Linda Raschke. It's similar like a visualization of Elliott Waves. On YouTube title "MTA UK Chapter Presentation with Linda Raschke" between 34-36 minutes Linda Raschke shows the rules for her Filterd Waves. Any questions? Ask me! King regards NXT2017 ======== TO MY PERSON I'm the second winner of the official German Forex Trading Competition in 2018. Look here to the ranks: deutsche-trading-meisterschaften.de I speak german, english and russian. My strength in trading are Wolfe Wave pattern.
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NXT2017 tarafından
12
Bollinger bands/Lagging span crossHello my dear ambitious traders I'm working hard this week to publish some great indicators this week and open sourced. Hope you'll enjoy, learn and use them. This will be my greatest reward but comments showing appreciation are also very welcomed (actually likes too) :) For today, I'll share a simple indicator but it's coming along with some insightful knowledge ^^ Anyway, I'm not here to ask you to this but to share a very cool indicator I made a few months ago and wanted to share for FREE with the community today The indicator is related to this educational post : What-a-Bollinger-Bands-Lagging-span-cross-can-tell-us/ This trading technique was invented by Robbytrade, a famous french trader twitter.com I wanted to have those visual signals on the chart so I coded it. The advantage of being a developer is that you can litteraly code what you miss and get your life better in the process. The one that will find a way to code a new form of money will be rich... wait.... that guy is called Satoshi Nakamoto... That's all for me today my friends PS Trying to update the Trade Manager shared yesterday with some cool features. More to come in the upcoming days Enjoy Dave
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Daveatt tarafından
15
[astropark] Power Tools Overlay//****************************************************************************** // Power Tools Overlay // Inner Version 1.2.1 13/12/2018 // Developer: iDelphi // Developer: astropark (Ichimoku Cloud), SMA EMA & Cross tools //------------------------------------------------------------------------------ // 21/11/2018 Added EMA SMA WMA // 21/11/2018 Added SMA-EMA EMA-WMA WMA-SMA (Thanks to mariobros1 for the idea of the Simultaneous MA) // 21/11/2018 Added Bollinger Bands // 21/11/2018 Added Ichimoku Cloud (Thanks to astropark for all the code of the Ichimoku Cloud) // 23/11/2018 Show all the indicator as default // 23/11/2018 Added a cross when single Moving Averages crossing (Thanks to astropark for the idea) // 24/11/2018 Descriptions Fix // 24/11/2018 Added Option to enable/disable all Moving Averages // 10/12/2018 Added EMAs and Crosses // 13/12/2018 indicator number fixes //******************************************************************************
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astropark tarafından
1
Musical Harmonics - Start with a low.Octaves double from one octave to another, so start with octaves beginning with the number one, for example: 1 doubled is 2, 2 doubled is 4, 4 double is 8 and then we go on to this sequence: 1,2,4,8,16,32,64,126,256,512,1024,2048,etc,etc Find one of the numbers near a range, so for example on this chart Ethereum was trading at 190.31. That price is in between the octaves of 126 and 256. The number I use as the low for the indicator is 126. Working on updating with labels and such
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itsjustanalysis tarafından
5
Cloud, MA & BB Signal ConvergenceA combination of 3 popular lagging indicators (Ichimoku Cloud, Moving Average and Bollinger Bands) that generates a signal when all 3 of those lagging indicators are bullish or bearish. Bullish is represented with a green dot above price. Bearish is represented with a red dot below price. PARAMETERS: 1) Ichimoku Cloud -Bullish Kumo -Price above Kumo -Chikou span above price -Tenkan-sen and Kijun-sen above Kumo -Tenkan-sen above Kijun-sen -Price above Tenkan-sen *opposite for bearish Note: cloud settings is the popular settings for cryptocurrency advocated by @CarpeNoctom. 2) Moving Average -MA1 greater than MA2 -MA2 greater than MA3 -MA3 greater than MA4 -MA4 greater than MA5 *opposite for bearish Note: Put your MA setting from lowest to highest on MA1-MA5 respectively to generate more accurate signals. 3) Bollinger Bands -price closed above upper band at least once *opposite for bearish Note: Put your MA setting from lowest to highest on MA1-MA5 respectively to generate more accurate signals. P.S. Still on early alpha stage.
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reimadara tarafından
Bollinger Bands Enhanced and Fibonacci TPThe "Bollinger Bands Enhanced with Anti-False Signal Filters and Fibonacci TP" is an advanced TradingView indicator designed to assist traders in identifying high-quality buy and sell signals in financial markets. This sophisticated tool integrates multiple analytical techniques to deliver precise and reliable trading signals. Key Features Signal Hierarchy: Premium Signals (💎): These signals have the highest priority, based on a high score, volume confirmation, and double confirmation from indicators. High-Quality Signals (🟢/🔴): These signals have high priority and are based on trend confirmation and significant volume. SAR Signals (✓): These signals have medium priority and are used for trend confirmation and position adjustments. Extreme Signals (⚡): These signals have low priority and are primarily used for scalping. Technical Indicators: Bollinger Bands: Used to identify support and resistance levels. Parabolic SAR: Used to confirm trends and reversals. Ichimoku Cloud: Provides an overview of the trend and support/resistance levels. Linear Regression: Used to identify the trend and its strength. Volume Analysis: Used to confirm signals and identify divergences. Anti-False Signal Filters: Volume Filter: Ensures signals are confirmed by sufficient volume. Trend Filter: Uses EMA to confirm the trend. RSI Filter: Avoids signals in overbought or oversold zones. Risk Management: Position Size: Recommends different position sizes based on the type of signal. Risk/Reward Ratio: Recommends a minimum ratio of 1:2 for premium signals and 1:1.5 for others. Maximum Simultaneous Positions: Recommends a maximum of 2-3 simultaneous positions. Alerts and Notifications: Premium Alerts: Notifies traders of premium signals with comprehensive details. High-Quality Alerts: Notifies traders of high-quality signals. Extreme Alerts: Notifies traders of extreme signals. SAR Confirmations: Notifies traders of SAR confirmations. Benefits for Traders This indicator is particularly beneficial for traders looking to enhance the accuracy of their trading signals and reduce false signals. It provides a comprehensive market overview by combining multiple analytical techniques and using a signal hierarchy to prioritize trading opportunities. Traders can use this indicator to identify high-quality trading opportunities, confirm trends, and manage risk effectively. Conclusion The "Bollinger Bands Enhanced with Anti-False Signal Filters and Fibonacci TP" indicator is a powerful tool for traders seeking to improve their trading performance. It combines multiple analytical techniques to provide accurate and reliable signals and uses a signal hierarchy to prioritize trading opportunities. Traders can leverage this indicator to identify high-quality trading opportunities, confirm trends, and manage risk effectively.
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Rubix0270 tarafından
Zero Lag MACD + Kijun-sen + EOM StrategyThis strategy offers a robust approach to identifying high-probability trading opportunities in the fast-paced cryptocurrency markets, particularly on lower timeframes (e.g., 5-minute). It leverages the synergistic power of three distinct indicators to confirm entries, ensuring a disciplined approach to risk management. Key Components: Zero Lag MACD Enhanced Version 1.2: This core momentum indicator is used to identify precise shifts in trend and momentum, offering reduced lag compared to traditional MACD. Entry signals are filtered based on the histogram's position (below for buys, above for sells) to enhance signal reliability. Kijun-sen (Ichimoku Cloud): Acting as a dynamic support/resistance and trend filter, the Kijun-sen line confirms the prevailing market direction. Long entries are confirmed when price is above Kijun-sen, and short entries when price is below. Ease of Movement (EoM): This volume-based oscillator provides crucial confirmation of price movements by measuring the ease with which price changes. Positive EoM confirms buying pressure, while negative confirms selling pressure, adding an essential layer of validation to trade setups. How it Works: The strategy generates entry signals only when all three indicators align simultaneously: For Long Entries: A Zero Lag MACD buy signal (crossover below histogram) must coincide with price trading above the Kijun-sen, and the Ease of Movement indicator being above its zero line. For Short Entries: A Zero Lag MACD sell signal (crossover above histogram) must coincide with price trading below the Kijun-sen, and the Ease of Movement indicator being below its zero line. Entries are executed at the open of the candle immediately following the signal confirmation. Risk Management: Disciplined risk management is paramount to this strategy: Dynamic Stop-Loss: An Average True Range (ATR) based stop-loss is implemented, set at 2.5 times the current ATR. This adapts the stop-loss distance to market volatility, ensuring sensible risk sizing. Fixed Take-Profit: A consistent Risk-to-Reward (R:R) ratio of 1:1.2 is applied for all trades, promoting stable profit realization. Customization & Optimization: The strategy is built with fully customizable input parameters for each indicator (MACD lengths, Kijun-sen period, ATR period, ATR multiplier, and Risk-to-Reward ratio). This allows users to fine-tune the strategy for different assets, timeframes, and market conditions, facilitating robust backtesting and optimization. Disclaimer: Trading involves substantial risk and is not suitable for all investors. Past performance is not indicative of future results. This strategy is provided for educational and informational purposes only. Always use proper risk management and conduct your own due diligence.
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danila_leontyev tarafından
1
TCloud Future📘 Tcloud Future – Indicator Description & How to Use Tcloud Future is a trend-based indicator that creates a forward-projected cloud between: A customizable Exponential Moving Average (EMA) A dynamic McGinley Moving Average The cloud is shifted into the future (like the Ichimoku Cloud), giving traders a visual projection of potential trend direction. 🔧 Components: EMA (default: 19-period) – fast-reacting average to short-term price action McGinley Dynamic (default: 26-period) – smoother, adaptive average that reacts to volatility Forward Projection (default: 26 candles) – pushes the cloud into the future to help anticipate trend continuation or reversal Cloud Color Green when EMA is above McGinley (bullish bias) Red when EMA is below McGinley (bearish bias) 🟢 How to Trade with Tcloud Future ✅ Trend Confirmation Use the cloud color and slope to confirm the current trend. Green cloud sloping up → bullish momentum Red cloud sloping down → bearish momentum 🟩 Entry Strategy (Trend-Following) Go long when price is above the green cloud and the cloud is rising. Go short when price is below the red cloud and the cloud is falling. 🔁 Cloud Crossovers (Trend Shift) A color change in the projected cloud can signal a potential trend reversal. Use this as a heads-up to prepare for position changes or tighten stops. 🛡️ Support/Resistance Zones The cloud often acts as a dynamic support/resistance zone. During an uptrend, pullbacks to the top or middle of the green cloud can be good entries. During a downtrend, rallies into the red cloud can offer shorting opportunities. 🧠 Tips Combine with RSI, MACD, or Volume for confirmation. Avoid using it alone in sideways markets — it performs best in trending conditions. Adjust projection and smoothing settings to fit the asset/timeframe you're trading.
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EduWarlock tarafından
DAMA OSC - Directional Adaptive MA OscillatorOverview: The DAMA OSC (Directional Adaptive MA Oscillator) is a highly customizable and versatile oscillator that analyzes the delta between two moving averages of your choice. It detects trend progression, regressions, rebound signals, MA cross and critical zone crossovers to provide highly contextual trading information. Designed for trend-following, reversal timing, and volatility filtering, DAMA OSC adapts to market conditions and highlights actionable signals in real-time. Features: Support for 11 custom moving average types (EMA, DEMA, TEMA, ALMA, KAMA, etc.) Customizable fast & slow MA periods and types Histogram based on percentage delta between fast and slow MA Trend direction coloring with “Green”, “Blue”, and “Red” zones Rebound detection using close or shadow logic Configurable thresholds: Overbought, Oversold, Underbought, Undersold Optional filters: rebound validation by candle color or flat-zone filter Full visual overlay: MA lines, crossover markers, rebound icons Complete alert system with 16 preconfigured conditions How It Works: Histogram Logic: The histogram measures the percentage difference between the fast and slow MA: hist_value = ((FastMA - SlowMA) / SlowMA) * 100 Trend State Logic (Green / Blue / Red): Green_Up = Bullish acceleration Blue_Up (or Red_Up, depending the display settings) = Bullish deceleration Blue_Down (or Green_Down, depending the display settings) = Bearish deceleration Red_Down = Bearish acceleration Rebound Logic: A rebound is detected when price: Crosses back over a selected MA (fast or slow) After being away for X candles (rebound_backstep) Optional: filtered by histogram zones or candle color Inputs: Display Options: Show/hide MA lines Show/hide MA crosses Show/hide price rebounds Enable/disable blue deceleration zones DAMA Settings: Fast/Slow MA type and length Source input (close by default) Overbought/Oversold levels Underbought/Undersold levels Rebound Settings: Use Close and/or Shadow Rebound MA (Fast/Slow) Candle color validation Flat zone filter rebounds (between UnderSold and UnderBought) Available MA type: SMA (Simple MA) EMA (Exponential MA) DEMA (Double EMA) TEMA (Triple EMA) WMA (Weighted MA) HMA (Hull MA) VWMA (Volume Weighted MA) Kijun (Ichimoku Baseline) ALMA (Arnaud Legoux MA) KAMA (Kaufman Adaptive MA) HULLMOD (Modified Hull MA, Same as HMA, tweaked for Pine v6 constraints) Notes: **DEMA/TEMA** reduce lag compared to EMA, useful for faster reaction in trending markets. **KAMA/ALMA** are better suited to noisy or volatile environments (e.g., BTC). **VWMA** reacts strongly to volume spikes. **HMA/HULLMOD** are great for visual clarity in fast moves. Alerts Included (Fully Configurable): Golden Cross: Fast MA crosses above Slow MA Death Cross: Fast MA crosses below Slow MA Bullish Rebound: Rebound from below MA in uptrend Bearish Rebound: Rebound from above MA in downtrend Bull Progression: Transition into Green_Up with positive delta Bear Progression: Transition into Red_Down with negative delta Bull Regression: Exit from Red_Down into Blue/Green with negative delta Bear Regression: Exit from Green_Up into Blue/Red with positive delta Crossover Overbought: Histogram crosses above Overbought Crossunder Overbought: Histogram crosses below Overbought Crossover Oversold: Histogram crosses above Oversold Crossunder Oversold: Histogram crosses below Oversold Crossover Underbought: Histogram crosses above Underbought Crossunder Underbought: Histogram crosses below Underbought Crossover Undersold: Histogram crosses above Undersold Crossunder Undersold: Histogram crosses below Undersold Credits: Created by Eff_Hash. This code is shared with the TradingView community and full free. do not hesitate to share your best settings and usage.
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Eff_Hash tarafından
Ranked Parabolic Curve Detector (Adaptive + Reversion Aware)The Parabolic Curve Detector is a smart, adaptable trading signal engine designed to help you spot true momentum — not the flashy head-fakes, but sustained, accelerating moves that have the potential to go parabolic. Whether you’re new to trading or looking to sharpen your edge, this tool combines a suite of time-tested and modern techniques into one unified signal, all while adjusting to changing market conditions. The core idea is simple: detect when price is not just rising, but accelerating, like a curve bending upward. To do that, the script analyzes the log of price and calculates both: Slope1: how fast the price is moving (momentum) Slope2: how fast that momentum is changing (acceleration) Over a user-defined number of bars (which amounts to sensitivity ), the script checks for consistency. So, for example, if both slope1 and slope2 have been positive for 4 bars, that’s a strong signal. But it doesn’t stop there. The key is weighted Intelligence What makes this tool uniquely customizable is that each layer of signal logic is weighted: Slope1 and Slope2: You can assign how much these matter (e.g., 60% for slope1, 20% for slope2) Ichimoku Trend Filter: A bullish setup (Tenkan > Kijun) can contribute to the total score RSI Context: The indicator checks for overextension (RSI > 70 and falling) and mean-reversion potential (RSI < 45 and rising), adjusting scores accordingly You can fine-tune these weights to match your trading style — whether you prefer to catch early momentum, ride mature trends, or fade reversals. Finally, there is adaptive Intelligence . This isn’t a static signal. The indicator auto-adjusts its strictness using: Slope Flip Rate: If price changes direction frequently, the required bar count increases Volatility (ATR): In volatile markets, the threshold for signal confirmation tightens to avoid noise You can turn this adaptive behavior on or off. When enabled, it makes the script self-tuning across timeframes — more reactive on clean moves, more skeptical in chop. How to Use It Start on a log-scaled daily chart Enable the indicator and optionally turn on Adaptive Sensitivity Look for: Green Circles = bullish signal with favorable RSI + trend Orange Circles = still bullish, but possibly overextended For bearish setups, enable Parabolic Drops in settings I am still experimenting with it, so if you find a better way to use it, let us know! My suggested tweaks : sensitivity: 3–5 for normal, higher for stricter signalThreshold: 0.7–0.85 depending on how picky you want to be Weights for slope1/slope2/trend RSI boost/penalty levels
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Powerslider tarafından
Ivan Gomes StrategyIG Signals+ - Ivan Gomes Strategy This script is designed for scalping and binary options trading, generating buy and sell signals at the beginning of each candle. Although it is mainly optimized for short-term operations, it can also be used for medium and long-term strategies with appropriate adjustments. How It Works • The indicator provides buy or sell signals at the start of the candle, based on a statistical probability of candle patterns, depending on the timeframe. • It is essential to enter the trade immediately after the signal appears and exit at the end of the same candle. • If the first operation results in a loss (Loss), the script will send another trade signal at the start of the next candle. However, if the first trade results in a win (Gain), no new signal will be generated. • The signals follow cycles of 3 candles, regardless of the timeframe. However, if a Doji candle appears, the cycle is interrupted, and no signals will be generated until the next valid cycle starts. • The strategy consists of up to two trades per cycle: if the first trade is not successful, the second trade serves as an additional attempt to recover. Key Points to Consider 1. Avoid trading in sideways markets – If price levels do not fluctuate significantly, the accuracy of the signals may decrease. 2. Trade in the direction of the trend – Using Ichimoku clouds or other trend indicators can help confirm trend direction and improve signal reliability. If the market is in an uptrend (bullish trend) and the indicator generates a sell signal, the most prudent decision would be to wait for a buy signal that aligns with the main trend. The same applies to downtrends, where buy signals may be riskier. These decisions should be based on chart reading and supported by other technical analysis tools, such as support and resistance levels, which indicate zones where price might face obstacles or reverse direction. Additionally, Fibonacci retracement levels can help identify possible pullback points within a trend. Moving averages are also useful for visualizing the general market direction and confirming whether an indicator signal aligns with the overall price structure. Combining these tools can increase trade accuracy and prevent unnecessary trades against the main trend, reducing risks. 3. Works based on probability statistics – The algorithm analyzes candle formations and their statistical probabilities depending on the timeframe to optimize trade entries. 4. Best suited for scalping and binary options – This strategy performs best in 1-minute and 5-minute timeframes, allowing for multiple trades throughout the day. Technical Details • The script detects the candle cycle and assigns an index to each candle to identify patterns and possible reversals. • It recognizes reference candles, stores their colors, and compares them with subsequent candles to determine if a signal should be triggered. • Doji candle rules are implemented to avoid false signals in indecisive market conditions. When a Doji appears, the script does not generate signals for that cycle. • The indicator displays visual alerts and notifications, ensuring fast execution of trades. Disclaimer The IG Signals+ indicator was created to assist traders who struggle to analyze the market by providing objective trade signals. However, no strategy is foolproof, and this script does not guarantee profits. Trading involves significant financial risk, and users should test it in a demo account before trading with real money. Proper risk management is crucial for long-term success.
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IvanGomesF tarafından
Donchian Cloud-V1The Donchian Cloud-V1 is a technical analysis indicator inspired by the Ichimoku Cloud, but with a twist. It utilizes two Donchian Channel midline calculations to create a cloud-like price zone. This indicator aims to help traders identify potential areas of support and resistance, and also suggests that trades should be avoided when prices are within the cloud. How it Works? The Donchian Cloud-V1 calculates two Donchian Channel midlines: Fast Donchian Channel: This midline is based on a shorter period, making it more responsive to price changes. Slow Donchian Channel: This midline is based on a longer period, providing a smoother and more stable cloud formation. The upper and lower bands of the traditional Donchian Channels are discarded, and the midlines become the cloud's upper and lower boundaries. Interpretation Price Above the Cloud: A price move above the cloud can be interpreted as a bullish signal, suggesting potential upward momentum. Price Below the Cloud: A price move below the cloud can be interpreted as a bearish signal, suggesting potential downward momentum. Price Within the Cloud: The indicator advises against taking any trades when the price is within the cloud itself, as the market may be unclear or ranging. Benefits of Using the Donchian Cloud-V1 Visually Appealing: The cloud can provide a clear and concise view of potential support and resistance zones. Customizable: The lengths of the fast and slow Donchian Channels can be adjusted to suit your trading style and preferred timeframe. Complements Other Indicators: The Donchian Cloud-V1 can be used in conjunction with other technical indicators to strengthen trade signals. Limitations to Consider Lagging Indicator: Like many technical indicators, the Donchian Cloud-V1 is based on past price data and may not always perfectly predict future price movements. False Signals: The cloud can generate false signals, especially in volatile markets. Not a Standalone Strategy: The Donchian Cloud-V1 should ideally be used alongside other trading strategies and risk management techniques. The Donchian Cloud-V1 is a valuable tool for traders who want to identify potential support and resistance zones and avoid making trades during periods of market uncertainty. Remember, it's important to backtest and paper trade any indicator before using it with real capital.
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Oracle_Systems tarafından
Hosoda ProjectionsThis script, written in Pine Script v5, introduces a technical analysis tool called "Hosoda Projections." Inspired by Ichimoku Kinkō Hyō and wave-based forecasting methods, this indicator helps traders visualize potential future price levels using a combination of pivot detection and projected price movements. It offers a unique way to anticipate market dynamics and define potential targets, making it particularly useful for those who seek to combine historical price patterns with forward-looking strategies. The script works by detecting key pivot points in the market using a customizable lookback period and then calculating a ZigZag pattern based on price fluctuations that exceed a specified percentage threshold. These pivots are used to identify three recent swing points, which serve as the foundation for projecting possible future price levels. Using these swings, the script generates levels that correspond to Fibonacci-based extensions and projections, such as 38.2%, 61.8%, 100%, 161.8%, and additional extensions like 261.8% and 361.8%. These levels are visualized on the chart as horizontal lines and labeled with their respective values for easy interpretation. The primary advantage of the Hosoda Projections script is its ability to provide a structured approach to identifying potential price targets. By leveraging the natural rhythm of price movements, it offers insights into where the market might find support or resistance in the future. This can help traders refine their entry and exit points, manage risk more effectively, and gain a deeper understanding of market sentiment. Additionally, the dynamic nature of the projections adapts to new price data, ensuring the tool remains relevant across changing market conditions. This script is particularly valuable for traders who appreciate the harmony between historical price action and predictive analysis. Whether you are trading forex, stocks, or cryptocurrencies, the Hosoda Projections tool can enhance your trading strategy by providing actionable and visually intuitive forecasts.
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s47marsac tarafından
RBF Kijun Trend System [InvestorUnknown]The RBF Kijun Trend System utilizes advanced mathematical techniques, including the Radial Basis Function (RBF) kernel and Kijun-Sen calculations, to provide traders with a smoother trend-following experience and reduce the impact of noise in price data. This indicator also incorporates ATR to dynamically adjust smoothing and further minimize false signals. Radial Basis Function (RBF) Kernel Smoothing The RBF kernel is a mathematical method used to smooth the price series. By calculating weights based on the distance between data points, the RBF kernel ensures smoother transitions and a more refined representation of the price trend. The RBF Kernel Weighted Moving Average is computed using the formula: f_rbf_kernel(x, xi, sigma) => math.exp(-(math.pow(x - xi, 2)) / (2 * math.pow(sigma, 2))) The smoothed price is then calculated as a weighted sum of past prices, using the RBF kernel weights: f_rbf_weighted_average(src, kernel_len, sigma) => float total_weight = 0.0 float weighted_sum = 0.0 // Compute weights and sum for the weighted average for i = 0 to kernel_len - 1 weight = f_rbf_kernel(kernel_len - 1, i, sigma) total_weight := total_weight + weight weighted_sum := weighted_sum + (src * weight) // Check to avoid division by zero total_weight != 0 ? weighted_sum / total_weight : na Kijun-Sen Calculation The Kijun-Sen, a component of Ichimoku analysis, is used here to further establish trends. The Kijun-Sen is computed as the average of the highest high and the lowest low over a specified period (default: 14 periods). This Kijun-Sen calculation is based on the RBF-smoothed price to ensure smoother and more accurate trend detection. f_kijun_sen(len, source) => math.avg(ta.lowest(source, len), ta.highest(source, len)) ATR-Adjusted RBF and Kijun-Sen To mitigate false signals caused by price volatility, the indicator features ATR-adjusted versions of both the RBF smoothed price and Kijun-Sen. The ATR multiplier is used to create upper and lower bounds around these lines, providing dynamic thresholds that account for market volatility. Neutral State and Trend Continuation This indicator can interpret a neutral state, where the signal is neither bullish nor bearish. By default, the indicator is set to interpret a neutral state as a continuation of the previous trend, though this can be adjusted to treat it as a truly neutral state. Users can configure this setting using the signal_str input: simple string signal_str = input.string("Continuation of Previous Trend", "Treat 0 State As", options = , group = G1) Visual difference between "Neutral" (Bottom) and "Continuation of Previous Trend" (Top). Click on the picture to see it in full size. Customizable Inputs and Settings: Source Selection: Choose the input source for calculations (open, high, low, close, etc.). Kernel Length and Sigma: Adjust the RBF kernel parameters to change the smoothing effect. Kijun Length: Customize the lookback period for Kijun-Sen. ATR Length and Multiplier: Modify these settings to adapt to market volatility. Backtesting and Performance Metrics The indicator includes a Backtest Mode, allowing users to evaluate the performance of the strategy using historical data. In Backtest Mode, a performance metrics table is generated, comparing the strategy's results to a simple buy-and-hold approach. Key metrics include mean returns, standard deviation, Sharpe ratio, and more. Equity Calculation: The indicator calculates equity performance based on signals, comparing it against the buy-and-hold strategy. Performance Metrics Table: Detailed performance analysis, including probabilities of positive, neutral, and negative returns. Alerts To keep traders informed, the indicator supports alerts for significant trend shifts: // - - - - - ALERTS - - - - - //{ alert_source = sig bool long_alert = ta.crossover (intrabar ? alert_source : alert_source , 0) bool short_alert = ta.crossunder(intrabar ? alert_source : alert_source , 0) alertcondition(long_alert, "LONG (RBF Kijun Trend System)", "RBF Kijun Trend System flipped ⬆LONG⬆") alertcondition(short_alert, "SHORT (RBF Kijun Trend System)", "RBF Kijun Trend System flipped ⬇Short⬇") //} Important Notes Calibration Needed: The default settings provided are not optimized and are intended for demonstration purposes only. Traders should adjust parameters to fit their trading style and market conditions. Neutral State Interpretation: Users should carefully choose whether to treat the neutral state as a continuation or a separate signal. Backtest Results: Historical performance is not indicative of future results. Market conditions change, and past trends may not recur.
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InvestorUnknown tarafından
3
CMF and Scaled EFI OverlayCMF and Scaled EFI Overlay Indicator Overview The CMF and Scaled EFI Overlay indicator combines the Chaikin Money Flow (CMF) and a scaled version of the Elder Force Index (EFI) into a single chart. This allows traders to analyze both indicators simultaneously, facilitating better insights into market momentum and volume dynamics , specifically focusing on buying/selling pressure and momentum , without compromising the integrity of either indicator. Purpose Chaikin Money Flow (CMF): Measures buying and selling pressure by evaluating price and volume over a specified period. It indicates accumulation (buying pressure) when values are positive and distribution (selling pressure) when values are negative. Elder Force Index (EFI): Combines price changes and volume to assess the momentum behind market moves. Positive values indicate upward momentum (prices rising with strong volume), while negative values indicate downward momentum (prices falling with strong volume). By scaling the EFI to match the amplitude of the CMF, this indicator enables a direct comparison between pressure and momentum , preserving their shapes and zero crossings. Traders can observe the relationship between price movements, volume, and momentum more effectively, aiding in decision-making. Understanding Pressure vs. Momentum Chaikin Money Flow (CMF): - Indicates the level of demand (buying pressure) or supply (selling pressure) in the market based on volume and price movements. - Accumulation: When institutional or large investors are buying significant amounts of an asset, leading to an increase in buying pressure. - Distribution: When these investors are selling off their holdings, increasing selling pressure. Elder Force Index (EFI): - Measures the strength and speed of price movements, indicating how forceful the current trend is. - Positive Momentum: Prices are rising quickly, indicating a strong uptrend. - Negative Momentum: Prices are falling rapidly, indicating a strong downtrend. Understanding the difference between pressure and momentum is crucial. For example, a market may exhibit strong buying pressure (positive CMF) but weak momentum (low EFI), suggesting accumulation without significant price movement yet. Features Overlay of CMF and Scaled EFI: Both indicators are plotted on the same chart for easy comparison of pressure and momentum dynamics. Customizable Parameters: Adjust lengths for CMF and EFI calculations and fine-tune the scaling factor for optimal alignment. Preserved Indicator Integrity: The scaling method preserves the shape and zero crossings of the EFI, ensuring accurate analysis. How It Works CMF Calculation: - Calculates the Money Flow Multiplier (MFM) and Money Flow Volume (MFV) to assess buying and selling pressure. - CMF is computed by summing the MFV over the specified length and dividing by the sum of volume over the same period: CMF = (Sum of MFV over n periods) / (Sum of Volume over n periods) EFI Calculation: - Calculates the EFI using the Exponential Moving Average (EMA) of the price change multiplied by volume: EFI = EMA(n, Change in Close * Volume) Scaling the EFI: - The EFI is scaled by multiplying it with a user-defined scaling factor to match the CMF's amplitude. Plotting: - Both the CMF and the scaled EFI are plotted on the same chart. - A zero line is included for reference, aiding in identifying crossovers and divergences. Indicator Settings Inputs CMF Length (`cmf_length`): - Default: 20 - Description: The number of periods over which the CMF is calculated. A higher value smooths the indicator but may delay signals. EFI Length (`efi_length`): - Default: 13 - Description: The EMA length for the EFI calculation. Adjusting this value affects the sensitivity of the EFI to price changes. EFI Scaling Factor (`efi_scaling_factor`): - Default: 0.000001 - Description: A constant used to scale the EFI to match the CMF's amplitude. Fine-tuning this value ensures the indicators align visually. How to Adjust the EFI Scaling Factor Start with the Default Value: - Begin with the default scaling factor of `0.000001`. Visual Inspection: - Observe the plotted indicators. If the EFI appears too large or small compared to the CMF, proceed to adjust the scaling factor. Fine-Tune the Scaling Factor: - Increase or decrease the scaling factor incrementally (e.g., `0.000005`, `0.00001`, `0.00005`) until the amplitudes of the CMF and EFI visually align. - The optimal scaling factor may vary depending on the asset and timeframe. Verify Alignment: - Ensure that the scaled EFI preserves the shape and zero crossings of the original EFI. - Overlay the original EFI (if desired) to confirm alignment. How to Use the Indicator Analyze Buying/Selling Pressure and Momentum: - Positive CMF (>0): Indicates accumulation (buying pressure). - Negative CMF (<0): Indicates distribution (selling pressure). - Positive EFI: Indicates positive momentum (prices rising with strong volume). - Negative EFI: Indicates negative momentum (prices falling with strong volume). Look for Indicator Alignment: - Both CMF and EFI Positive: - Suggests strong bullish conditions with both buying pressure and upward momentum. - Both CMF and EFI Negative: - Indicates strong bearish conditions with selling pressure and downward momentum. Identify Divergences: - CMF Positive, EFI Negative: - Buying pressure exists, but momentum is negative; potential for a bullish reversal if momentum shifts. - CMF Negative, EFI Positive: - Selling pressure exists despite rising prices; caution advised as it may indicate a potential bearish reversal. Confirm Signals with Other Analysis: - Use this indicator in conjunction with other technical analysis tools (e.g., trend lines, support/resistance levels) to confirm trading decisions. Example Usage Scenario 1: Bullish Alignment - CMF Positive: Indicates accumulation (buying pressure). - EFI Positive and Increasing: Shows strengthening upward momentum. - Interpretation: - Strong bullish signal suggesting that buyers are active, and the price is likely to continue rising. - Action: - Consider entering a long position or adding to existing ones. Scenario 2: Bearish Divergence - CMF Negative: Indicates distribution (selling pressure). - EFI Positive but Decreasing: Momentum is positive but weakening. - Interpretation: - Potential bearish reversal; price may be rising but underlying selling pressure suggests caution. - Action: - Be cautious with long positions; consider tightening stop-losses or preparing for a possible trend reversal. Tips Adjust for Different Assets: - The optimal scaling factor may differ across assets due to varying price and volume characteristics. - Always adjust the scaling factor when analyzing a new asset. Monitor Indicator Crossovers: - Crossings above or below the zero line can signal potential trend changes. Watch for Divergences: - Divergences between the CMF and EFI can provide early warning signs of trend reversals. Combine with Other Indicators: - Enhance your analysis by combining this overlay with other indicators like moving averages, RSI, or Ichimoku Cloud. Limitations Scaling Factor Sensitivity: - An incorrect scaling factor may misalign the indicators, leading to inaccurate interpretations. - Regular adjustments may be necessary when switching between different assets or timeframes. Not a Standalone Indicator: - Should be used as part of a comprehensive trading strategy. - Always consider other market factors and indicators before making trading decisions. Disclaimer No Guarantee of Performance: - Past performance is not indicative of future results. - Trading involves risk, and losses can exceed deposits. Use at Your Own Risk: - This indicator is provided for educational purposes. - The author is not responsible for any financial losses incurred while using this indicator. Code Summary //@version=5 indicator(title="CMF and Scaled EFI Overlay", shorttitle="CMF & Scaled EFI", overlay=false) cmf_length = input.int(20, minval=1, title="CMF Length") efi_length = input.int(13, minval=1, title="EFI Length") efi_scaling_factor = input.float(0.000001, title="EFI Scaling Factor", minval=0.0, step=0.000001) // --- CMF Calculation --- ad = high != low ? ((2 * close - low - high) / (high - low)) * volume : 0 mf = math.sum(ad, cmf_length) / math.sum(volume, cmf_length) // --- EFI Calculation --- efi_raw = ta.ema(ta.change(close) * volume, efi_length) // --- Scale EFI --- efi_scaled = efi_raw * efi_scaling_factor // --- Plotting --- plot(mf, color=color.green, title="CMF", linewidth=2) plot(efi_scaled, color=color.red, title="EFI (Scaled)", linewidth=2) hline(0, color=color.gray, title="Zero Line", linestyle=hline.style_dashed) - Lines 4-6: Define input parameters for CMF length, EFI length, and EFI scaling factor. - Lines 9-11: Calculate the CMF. - Lines 14-16: Calculate the EFI. - Line 19: Scale the EFI by the scaling factor. - Lines 22-24: Plot the CMF, scaled EFI, and zero line. Feedback and Support Suggestions: If you have ideas for improvements or additional features, please share your feedback. Support: For assistance or questions regarding this indicator, feel free to contact the author through TradingView. --- By combining the CMF and scaled EFI into a single overlay, this indicator provides a powerful tool for traders to analyze market dynamics more comprehensively. Adjust the parameters to suit your trading style, and always practice sound risk management.
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