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Supertrend + Stochastic RSIThe Supertrend + Stochastic RSI indicator is designed for scalping and short-term trading, combining the trend-following power of the Supertrend with the momentum insights of the Stochastic RSI to generate reliable buy and sell signals. This indicator aims to reduce false signals by requiring confirmation from both trend direction and momentum, making it suitable for traders targeting quick, high-probability trades in fast-moving markets on lower timeframes (e.g., 1-minute to 15-minute charts). How It Works The indicator integrates two technical components to produce actionable signals: Supertrend for Trend Direction: The Supertrend, calculated with a default length of 10 and a factor of 3.0, identifies the prevailing trend. It plots a line above or below the price, turning green when the trend is bullish (price above Supertrend) and red when bearish (price below Supertrend). This helps traders stay aligned with the market’s direction, reducing trades against the trend. Stochastic RSI for Momentum Confirmation: The Stochastic RSI, computed over a 14-period RSI with 3-period smoothing for %K and %D lines, measures momentum. A buy signal is generated when the %K line crosses above the oversold level (default: 20), indicating potential upward momentum, while a sell signal occurs when %K crosses below the overbought level (default: 80), suggesting downward momentum. Signal Generation Signals are produced only when both conditions align, using the previous bar’s values to prevent repainting: Buy Signal: The Stochastic RSI %K crosses above the oversold level, and the Supertrend confirms a bullish trend (price above Supertrend). Displayed as a green upward triangle below the bar. Sell Signal: The Stochastic RSI %K crosses below the overbought level, and the Supertrend confirms a bearish trend (price below Supertrend). Displayed as a red downward triangle above the bar.
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Raisontgh tarafından
Market Sentiment Index US Top 40 [Pt]▮Overview Market Sentiment Index US Top 40 [Pt} shows how the largest US stocks behave together. You pick one simple measure—High Low breakouts, Above Below moving average, or RSI overbought/oversold—and see how many of your chosen top 10/20/30/40 NYSE or NASDAQ names are bullish, neutral, or bearish. This tool gives you a quick view of broad-market strength or weakness so you can time trades, confirm trends, and spot hidden shifts in market sentiment. ▮Key Features ► Three Simple Modes High Low Index: counts stocks making new highs or lows over your lookback period Above Below MA: flags stocks trading above or below their moving average RSI Sentiment: marks overbought or oversold stocks and plots a small histogram ► Universe Selection Top 10, 20, 30, or 40 symbols from NYSE or NASDAQ Option to weight by market cap or treat all symbols equally ► Timeframe Choice Use your chart’s timeframe or any intraday, daily, weekly, or monthly resolution ► Histogram Smoothing Two optional moving averages on the sentiment bars Markers show when the faster average crosses above or below the slower one ► Ticker Table Optional on-chart table showing each ticker’s state in color Grid or single-row layout with adjustable text size and color settings ▮Inputs ► Mode and Lookback Pick High Low, Above Below MA, or RSI Sentiment Set lookback length (for example 10 bars) If using Above Below MA, choose the moving average type (EMA, SMA, etc.) ► Universe Setup Market: NYSE or NASDAQ Number of symbols: 10, 20, 30, or 40 Weights: on or off Timeframe: blank to match chart or pick any other ► Moving Averages on Histogram Enable fast and slow averages Set their lengths and types Choose colors for averages and markers ► Table Options Show or hide the symbol table Select text size: tiny, small, or normal Choose layout: grid or one-row Pick colors for bullish, neutral, and bearish cells Show or hide exchange prefixes ▮How to Read It ► Sentiment Bars Green means bullish Red means bearish Near zero means neutral ► Zero Line Separates bullish from bearish readings ► High Low Line (High Low mode only) Smooth ratio of highs versus lows over your lookback ► MA Crosses Fast MA above slow MA hints rising breadth Fast MA below slow MA hints falling breadth ► Ticker Table Each cell colored green, gray, or red for bull, neutral, or bear ▮Use Cases ► Confirm Market Trends Early warning when price makes highs but breadth is weak Catch rallies when breadth turns strong while price is flat ► Spot Sector Rotation Switch between NYSE and NASDAQ to see which group leads Watch tech versus industrial breadth to track money flow ► Filter Trade Signals Enter longs only when breadth is bullish Consider shorts when breadth turns negative ► Combine with Other Indicators Use RSI Sentiment with trend tools to spot overextended moves Add volume indicators in High Low mode for breakout confirmation ► Timeframe Analysis Daily for big-picture bias Intraday (15-min) for precise entries and exits
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PtGambler tarafından
Adaptive Volume-Weighted RSI (AVW-RSI)Concept Summary The AVW-RSI is a modified version of the Relative Strength Index (RSI), where each price change is weighted by the relative trading volume for that period. This means periods of high volume (typically driven by institutions or “big money”) have a greater influence on the RSI calculation than periods of low volume. Why AVW-RSI Helps Traders Avoids Weak Signals During Low Volume Standard RSI may show overbought/oversold zones even during low-volume periods (e.g., during lunch hours or after news). AVW-RSI gives less weight to these periods, avoiding misleading signals. Amplifies Strong Momentum Moves If RSI is rising during high volume, it's more likely driven by institutional buying—AVW-RSI reflects that stronger by weighting the RSI component. Filters Out Retail Noise By prioritizing high-volume candles, it naturally discounts fakeouts caused by thin markets or retail-heavy moves. Highlights Institutional Entry/Exit Useful for spotting hidden accumulation/distribution that classic RSI would miss. How It Works (Calculation Logic) Traditional RSI Formula Recap RSI = 100 - (100 / (1 + RS)) RS = Average Gain / Average Loss (over N periods) Modified Step – Apply Volume Weight For each period Gain_t = max(Close_t - Close_{t-1}, 0) Loss_t = max(Close_{t-1} - Close_t, 0) Weight_t = Volume_t / AvgVolume(N) WeightedGain_t = Gain_t * Weight_t WeightedLoss_t = Loss_t * Weight_t Weighted RSI AvgWeightedGain = SMA(WeightedGain, N) AvgWeightedLoss = SMA(WeightedLoss, N) RS = AvgWeightedGain / AvgWeightedLoss AVW-RSI = 100 - (100 / (1 + RS)) Visual Features on Chart Line Color Gradient Color gets darker as volume weight increases, signaling stronger conviction. Overbought/Oversold Zones Traditional: 70/30 Suggested AVW-RSI zones: Use dynamic thresholds based on historical volatility (e.g., 80/20 for high-volume coins). Volume Spike Flags Mark RSI turning points that occurred during volume spikes with a special dot/symbol. Trading Strategies with AVW-RSI 1. Weighted RSI Divergence Regular RSI divergence becomes more powerful when volume is high. AVW-RSI divergence with volume spike is a strong signal of reversal. 2. Trend Confirmation RSI crossing above 50 during rising volume is a good entry signal. RSI crossing below 50 with high volume is a strong exit or short trigger. 3. Breakout Validation Price breaking resistance + AVW-RSI > 60 with volume = Confirmed breakout. Price breaking but AVW-RSI < 50 or on low volume = Potential fakeout. Example Use Case Stock XYZ is approaching a resistance zone. A trader sees: Standard RSI: 65 → suggests strength. Volume is 3x the average. AVW-RSI: 78 → signals strong momentum with institutional backing. The trader enters confidently, knowing this isn't just low-volume hype. Limitations / Tips Works best on liquid assets (Forex majors, large-cap stocks, BTC/ETH). Should be used alongside price action and volume analysis—not standalone. Periods of extremely high volume (news events) might need smoothing to avoid spikes.
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SupertradeOfficial tarafından
2
AP IFTCCIv2/IFTStoch/IFTRSI Multi-TimeframeMulti-Timeframe IFT-CCI/Stoch/RSI Composite This enhanced indicator combines three powerful oscillators—Inverse Fisher Transform (IFT) versions of the Commodity Channel Index (CCI), Stochastic, and Relative Strength Index (RSI)—into a unified multi-timeframe analysis tool. Originally developed by John Ehlers (pioneer of cyclical analysis and signal processing in trading systems) and adapted by KIVANC (@fr3762), this version adds dual-timeframe capability to compare indicator values across different chart resolutions. Key Features: Triple Oscillator Composite IFT-CCI: Smoothed CCI values transformed via Ehlers' Inverse Fisher Transform (blue-gold) IFT-Stochastic: Classic stochastic oscillator processed through IFT (blue) IFT-RSI: RSI oscillator converted to IFT format (magenta) Composite Average Line: Combined average of all three indicators (green) Multi-Timeframe Analysis Compare primary and secondary timeframes (e.g., 1H vs. 4H, daily vs. weekly) Primary timeframe plots use solid lines with 80% opacity Secondary timeframe (optional) uses dashed/circle markers with 40% opacity Key Levels Overbought (+0.75) and oversold (-0.75) reference lines Zero-centerline for momentum direction bias Applications: Trend Confirmation: Align higher timeframe signals with lower timeframe entries Divergence Detection: Spot inter-timeframe discrepancies in momentum Regime Filter: Use higher timeframe composite values to filter trades Technical Basis: Inverse Fisher Transform: Compresses oscillator values into bounded (-1 to +1) range while emphasizing extreme moves Dual WMA Smoothing: Combines initial calculation smoothing (WMA1) with final output smoothing (WMA2) Exponential Scaling: (e^2x - 1)/(e^2x + 1) formula converts Gaussian-like distributions to bounded outputs Credits: Original Concept: John Ehlers (IFT methodology, cyclical analysis foundations) Initial Implementation: KIVANC (@fr3762 on Twitter) for the base IFT-CCI/Stoch/RSI script Multi-Timeframe Adaptation: for cross-resolution analysis capabilities This tool is particularly effective for traders seeking to align multiple timeframes while using Ehlers' noise-reduction techniques. The composite average line provides a consensus view, while the individual oscillators help identify component strength/weakness.
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nuipai tarafından
Multi-Speed ADX with AlertsADX 5 speed ForexAlien Wave following You can wait for all the waves to grow and trade in the direction of the price action. You can trade the three shortest waves for more action. This will help you catch the longer momentum wave, allowing you to stay invested for days and avoid tying up your cash for an extended period. 15 years of chart pounding - ForexAlien Best used where you can see that all the ADX speeds are compressed at the bottom, like a Bollinger band squeeze, and then explode out with a vengeance. Let the force be with you!
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kerrydrake19583c9f6 tarafından
Bullish vs Bearish Strength IndicatorBullish Body Size (Green Line) The cumulative size of all bullish candles over the selected period. Bearish Body Size (Red Line) The cumulative size of all bearish candles over the selected period. Bull/Bear Ratio (Blue Line) Real-time ratio of Bullish to Bearish strength. Zero Line (Gray Line) Optional visibility to track neutral zones. Configurable Settings: Toggle visibility of each plot. Customize colors directly from the settings panel.
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Seben_Capital tarafından
MACD, WT CROSS & HVPThis indicator combines three powerful tools for market analysis: 1️⃣ MACD (Moving Average Convergence Divergence) The main histogram shows the MACD, which measures the difference between two exponential moving averages. Red (negative) bars indicate selling pressure. Green/blue (positive) bars indicate buying pressure. This indicator is very useful for detecting trend changes and momentum strength. 2️⃣ WT CROSS Signal Dots The small green and red dots over the histogram show key cross signals detected by the WT CROSS tool. Green dots indicate a potential bullish cross (buy signal). Red dots indicate a potential bearish cross (sell signal). This helps quickly spot moments when the market may be about to reverse direction. 3️⃣ Historical Volatility Percentile (HVP) The purple vertical flashes in the background highlight moments when historical volatility is extremely low. When the HVP flashes, it signals a period of compressed volatility, often followed by a strong price move. It acts as a trader alert, as low volatility phases often precede breakouts or sharp movements.
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Nico_Crypto_ tarafından
Moving Average ExponentialColor Logic Integrated - The EMA line now changes to green when the price is above it and red when the price is below. Smoothing MA Options - Added various types of MAs (SMA, EMA, SMMA, WMA, VWMA) that you can switch to dynamically. Bollinger Bands Integration - If you select "SMA + Bollinger Bands," it will plot the bands around the moving average. Background Fill - For Bollinger Bands, a light green fill is added when it's enabled.
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Seben_Capital tarafından
stockan – Oscillator Matrixstockan – Oscillator Matrix A multi-layer RSI-based momentum & trend tool with signal smoothing, short-segment regression lines, fade-style histogram, reversal markers, and a blocky heat-bar. stockan is designed to give you a crystal-clear view of short-term momentum shifts and trend bias all in one pane. It builds upon the classic 0–100 RSI by: Smoothing it with a quick SMA to generate a clean crossover signal. Drawing tiny linear-regression segments on both RSI and its signal line to highlight the slope (i.e. local trend direction) over a handful of bars. Filling between RSI and signal in green/red so you can instantly see when momentum flips. Plotting a soft-fade histogram of (RSI – signal), where stronger moves produce more opaque bars, while smaller divergences fade into the background. Marking local peaks and troughs on the RSI curve with dots—perfect for fine-tuning entries or exits. Rendering a bottom “heat” strip as blocky columns that switch from red to green once RSI crosses your chosen threshold, giving you a persistent bias indicator. 🔧Inputs & Settings You can customize every aspect of stockan in the Indicator Settings: Price Source (default = Close) Choose which price series (Open, High, Low, Close, or a custom series) you want the RSI to use. Oscillator Length (RSI) (default = 14) The look-back period for the RSI calculation. Shorter values make the oscillator more sensitive. Signal Smoothing (default = 3) The length of the simple moving average applied to the RSI. Higher values produce slower, cleaner signals. Trend-LR Length (default = 20) Number of bars used in each linear-regression segment. Longer lengths smooth trends but react more slowly. Heat Threshold (default = 50) The cutoff level (on the 0–100 RSI scale) above which the bottom heat-blocks turn green. Histogram Max for Fade (default = 20) The absolute difference (RSI – signal) that maps to 100% opacity in the histogram. Smaller differences fade out; larger ones stand out. 🚀 How to Use stockan Identify Momentum Shifts Watch for the green/red fill to flip—when the RSI line crosses above its signal, green fill indicates building bullish momentum; red indicates bearish pressure. Sense Short-Term Trend with Mini-Regression Lines The tiny sloping segments on both RSI and signal lines give an immediate visual cue: upward-tilted segments = short-term uptrend, downward = downtrend. Gauge Strength with the Fade-Style Histogram Opaque bars mean strong momentum divergence; faint bars mean weak or consolidating moves. Use these to avoid low-conviction signals. Fine-Tune Entries & Exits Using Reversal Dots Gray dots mark local RSI highs (possible short setups), green dots mark local lows (possible long entries). Confirm Bias with the Heat-Bar A steady green row at the bottom tells you RSI has been above your threshold consistently—ideal for trend-following. A red row suggests caution or counter-trend trades. 🎯 Benefits All-in-One Pane: No need to juggle RSI, MA, histogram and custom script separately. Clean Visuals: Soft fades and blocky heat bars reduce clutter and highlight what matters. Non-Repainting: Uses only closed-bar data; once a bar is closed, nothing moves or disappears. Highly Customizable: Every length, threshold, color and transparency can be adjusted in Settings. Lightweight & Self-Contained: Pure Pine v5—no external libraries, no proprietary code—fully compliant with TradingView’s policies.
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tubegirl24 tarafından
Stockan Momentum MeterStockan Momentum Meter (SMM) Advanced Momentum Acceleration Oscillator Version: 1.0 | Category: Momentum Oscillator | Type: Open Source Detailed Technical Specification Key Features Dual-Layer Momentum Calculation Calculates momentum using double derivative of price (ROC of ROC) First Layer: Standard Rate of Change (ROC) Second Layer: Momentum of Momentum (ROC applied to first ROC) Signal Smoothing System EMA filtering of raw momentum values Adaptive smoothing based on user-defined length 4-State Color Coding Quadrant-based visualization system: Strong Bullish (Green): Histogram > Threshold Moderate Bullish (Blue): 0 < Histogram ≤ Threshold Moderate Bearish (Orange): -Threshold ≤ Histogram < 0 Strong Bearish (Red): Histogram < -Threshold Dynamic Threshold System Adjustable baseline levels for sensitivity control Symmetrical upper/lower boundaries Detailed Working Mechanism Calculation Pipeline Raw Momentum (momo): momo = ROC(ROC(close, length), length) Measures acceleration/deceleration in price movements Double derivation filters out noise while capturing momentum shifts Smoothed Signal (ema_momo): ema_momo = EMA(momo, length) Creates reference line for momentum comparison Reduces whipsaws in volatile markets Histogram Value: histogram = momo - ema_momo Visualizes difference between raw and smoothed momentum Positive values = accelerating momentum Negative values = decelerating momentum PARAMETER CONFIGURATION Momentum Length (Default: 14) Range: 1-100 | Controls historical window for momentum calculations Base Line Threshold (Default: 0.0) Range: 0-100 | Determines sensitivity for color changes COLOR CODING SYSTEM GREEN Signals: Histogram value ABOVE threshold level = Strong bullish momentum BLUE Signals: Positive values BETWEEN 0 and threshold = Moderate bullish pressure ORANGE Signals: Negative values BETWEEN 0 and -threshold = Moderate bearish pressure RED Signals: Histogram value BELOW -threshold = Strong bearish momentum Key Benefits for Traders Early Reversal Detection Identifies momentum exhaustion before price reversal occurs Divergence Spotting Clear visualization of: Bullish divergence (Price ↓ + Histogram ↑) Bearish divergence (Price ↑ + Histogram ↓) Trend Strength Measurement Histogram height indicates momentum intensity Multi-Timeframe Compatibility Works effectively on: Scalping (1-15min) Swing Trading (1H-4H) Position Trading (Daily-Weekly) Customizable Sensitivity Adjust threshold levels for: Day traders (higher threshold = fewer signals) Long-term investors (lower threshold = more sensitivity) Usage Scenarios Bullish Signal Green histogram crossing above threshold Blue → Green color transition Bearish Signal Red histogram crossing below negative threshold Orange → Red color transition Confirmation Tool Use with trend indicators (EMA, MACD): Green histogram + Price above 200 EMA = Strong uptrend Red histogram + Price below 200 EMA = Strong downtrend KEY ADVANTAGES OVER POPULAR INDICATORS Faster Signals vs RSI Detects momentum shifts earlier through double ROC calculation Clearer Visuals vs MACD Four-color system replaces confusing line crossovers with instant visual cues Better Filtering vs Stochastic Dual-layer calculation reduces market noise more effectively Custom Sensitivity Adjustable threshold outperforms fixed settings in traditional oscillators How to Use Add to chart from TradingView Public Library Default settings work for most timeframes Adjust parameters based on: Aggressive trading: Reduce length (10-12) Conservative trading: Increase length (20-25) Combine with: Trendlines for breakout confirmation Volume indicators for signal validation Notes Best Performance: Ranging markets with clear support/resistance Risk Management: Use with stop-loss (2x ATR recommended) Limitations: May give false signals during low-volume periods
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tubegirl24 tarafından
Parsifal.Swing.TrendScoreThe Parsifal.Swing.TrendScore indicator is a module within the Parsifal Swing Suite, which includes a set of swing indicators such as: • Parsifal Swing TrendScore • Parsifal Swing Composite • Parsifal Swing RSI • Parsifal Swing Flow Each module serves as an indicator facilitating judgment of the current swing state in the underlying market. ________________________________________ Background Market movements typically follow a time-varying trend channel within which prices oscillate. These oscillations—or swings—within the trend are inherently tradable. They can be approached: • One-sidedly, aligning with the trend (generally safer), or • Two-sidedly, aiming to profit from mean reversions as well. Note: Mean reversions in strong trends often manifest as sideways consolidations, making one-sided trades more stable. ________________________________________ The Parsifal Swing Suite The modules aim to provide additional insights into the swing state within a trend and offer various trigger points to assist with entry decisions. All modules in the suite act as weak oscillators, meaning they fluctuate within a range but are not bounded like true oscillators (e.g., RSI, which is constrained between 0% and 100%). ________________________________________ The Parsifal.Swing.TrendScore – Specifics The Parsifal.Swing.TrendScore module combines short-term trend data with information about the current swing state, derived from raw price data and classical technical indicators. It provides an indication of how well the short-term trend aligns with the prevailing swing, based on recent market behavior. ________________________________________ How Swing.TrendScore Works The Swing.TrendScore calculates a swing score by collecting data within a bin (i.e., a single candle or time bucket) that signals an upside or downside swing. These signals are then aggregated together with insights from classical swing indicators. Additionally, it calculates a short-term trend score using core technical signals, including: • The Z-score of the price's distance from various EMAs • The slope of EMAs • Other trend-strength signals from additional technical indicators These two components—the swing score and the trend score—are then combined to form the Swing.TrendScore indicator, which evaluates the short-term trend in context with swing behavior. ________________________________________ How to Interpret Swing.TrendScore The trend component enhances Swing.TrendScore’s ability to provide stronger signals when the short-term trend and swing state align. It can also override the swing score; for example, even if a mean reversion appears to be forming, a dominant short-term trend may still control the market behavior. This makes Swing.TrendScore particularly valuable for: • Short-term trend-following strategies • Medium-term swing trading Unlike typical swing indicators, Swing.TrendScore is designed to respond more to medium-term swings rather than short-lived fluctuations. ________________________________________ Behavior and Chart Representation The Swing.TrendScore indicator fluctuates within a range, as most of its components are range-bound (though Z-score components may technically extend beyond). • Historically high or low values may suggest overbought or oversold conditions • The chart displays: o A fast curve (orange) o A slow curve (white) o A shaded background representing the market state • Extreme values followed by curve reversals may signal a developing mean reversion ________________________________________ TrendScore Background Value The Background Value reflects the combined state of the short-term trend and swing: • > 0 (shaded green) → Bullish mode: swing and short-term trend both upward • < 0 (shaded red) → Bearish mode: swing and short-term trend both downward • The absolute value represents the confidence level in the market mode Notably, the Background Value can remain positive during short downswings if the short-term trend remains bullish—and vice versa. ________________________________________ How to Use the Parsifal.Swing.TrendScore Several change points can act as entry triggers or aids: • Fast Trigger: change in slope of the fast signal curve • Trigger: fast line crosses slow line or the slope of the slow signal changes • Slow Trigger: change in sign of the Background Value Examples of these trigger points are illustrated in the accompanying chart. Additionally, market highs and lows aligning with the swing indicator values may serve as pivot points in the evolving price process. ________________________________________ As always, this indicator should be used in conjunction with other tools and market context in live trading. While it provides valuable insight and potential entry points, it does not predict future price action. Instead, it reflects recent tendencies and should be used judiciously. ________________________________________ Extensions The aggregation of information—whether derived from bins or technical indicators—is currently performed via simple averaging. However, this can be modified using alternative weighting schemes, based on: • Historical performance • Relevance of the data • Specific market conditions Smoothing periods used in calculations are also modifiable. In general, the EMAs applied for smoothing can be extended to reflect expectations based on relevance-weighted probability measures. Since EMAs inherently give more weight to recent data, this allows for adaptive smoothing. Additionally, EMAs may be further extended to incorporate negative weights, akin to wavelet transform techniques.
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parsifaltrading tarafından
Ceres Trader Simple Trend & Momentum SignalsCeres Trader – Simple Trend & Momentum Signals Description: Cut through chart noise with a lightweight, two-factor signal system that combines a classic trend filter (200 EMA) with momentum confirmation (smoothed RSI as a QQE proxy). This indicator plots clean entry arrows—no background shading, no clutter—so you can trade only in the high-probability regime: Trend Filter: 200-period exponential moving average Momentum Filter: RSI(14) smoothed over N bars, offset by 50 to create a zero-line Long Entry: Price above the 200 EMA and the smoothed RSI crosses up through zero → green up-arrow below bar Short Entry: Price below the 200 EMA and the smoothed RSI crosses down through zero → red down-arrow above bar Key Features: Minimalist display: only the 200 EMA and entry arrows Customizable inputs: EMA length, RSI length, RSI smoothing period Ultra-low CPU load: suitable for lower timeframes (e.g. 1 min gold futures) Yellow label text: for optimal visibility on dark or light chart backgrounds How to Use: Add the script to your TradingView chart. Choose your timeframe and adjust inputs as needed. Take only the long signals when price is above the EMA, and only the short signals when price is below. Place stops just beyond the EMA; targets can be measured swings or fixed R-multiples. Notes: Designed as a regime-based entry filter—no exits or background fills included. Feel free to combine with your own stop-loss, take-profit, and money-management rules. Trade smarter, not harder—let the market tell you only when both trend and momentum align.
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CeresTrader tarafından
分层 + 手动分位 StochRSI（红蓝点版）用 getPercentile() 手动对数组排序取分位，避免引用不存在的 API。 ATR 数组 atrArr 定期 push/shift，实时分层。 对应波动层分别维护 lowArr/midArr/highArr，计算 osLine/obLine。 用两条 plot(..., style=plot.style_circles)，掩码表达式 buySig ? osLine : na 与 sellSig ? obLine : na，只在穿越当根 K 线上画蓝/红圆点，且精准落在阈值线上。
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xewohioht755 tarafından
ETI IndicatorThe Ensemble Technical Indicator (ETI) is a script that combines multiple established indicators into one single powerful indicator. Specifically, it takes a number of technical indicators and then converts them into +1 to represent a bullish trend, or a -1 to represent a bearish trend. It then adds these values together and takes the running sum over the past 20 days. The ETI is composed of the following indicators and converted to +1 or -1 using the following criteria: Simple Moving Average (10 days) : When the price is above the 10-day simple moving averaging, +1, when below -1 Weighted Moving Average (10 days) : Similar to the SMA 10, when the the price is above the 10-day weighted moving average, +1, when below -1 Stochastic K% : If the current Stochastic K% is greater than the previous value, then +1, else -1. Stochastic D% : Similar to the Stochastic K%, when the current Stochastic D% is greater than the previous value, +1, else -1. MACD Difference : First subtract the MACD signal (i.e. the moving average) from the MACD value and if the current value is higher than the previous value, then +1, else -1. William's R% : If the current William's R% is greater than the previous one, then +1, else -1. William's Accumulation/Distribution : If the current William's AD value is greater than the previous value, then +1, else -1. Commodity Channel Index : If the Commodity Channel Index is greater than 200 (overbought), then -1, if it is less than -200 (oversold) then +1. When it is between those values, if the current value is greater than the previous value then +1, else -1. Relative Strength Index : If the Relative Strength Index is over 70 (overbought) then -1 and if under 30 (oversold) then +1. If the Relative Strength Indicator is between those values then if the current value is higher than the previous value +1, else -1. Momentum (9 days) : If the momentum value is greater than 0, then +1, else -1. Again, once these values have been calculated and converted, they are added up to produce a single value. This single value is then summed across the previous 20 candles to produce a running sum. By coalescing multiple technical indicators into a single value across time, traders can better understand how multiple inter-related indicators are behaving at once; high scores indicate that numerous indicators are showing bullish signals indicating a potential or ongoing uptrend (and vice-versa with low scores). Additional Features Numerous smoothing transformations have also been added (e.g. gaussian smoothing) to remove some of the noise might exist. Suggested Use It is recommended that stocks are shorted when the cross below 0, and are bought when the ETI crosses above -40. Arrows can be shown on the indicator to show these points. However feel free to use levels that work best for you. Traditionally, I have treated values above +50 as overbought and below -40 as undersold (with -80 indicating extremely oversold); however these levels could also indicate either upwards and downwards momentum so taking a position based on where the ETI is (rather than crossing levels) should be done with caution.
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ExpertCBCD tarafından
Fire Sling Shot Stochastic// ============================================================================ // Stochastic Indicator (5,3,3) Explanation // ============================================================================ // // The Fire Sling Shot strategy uses a Stochastic oscillator (5,3,3) as a // confirming indicator to enhance the reliability of EMA crossover signals. // // WHAT IS STOCHASTIC? // The Stochastic oscillator is a momentum indicator that compares a security's // closing price to its price range over a specific period. The indicator // oscillates between 0 and 100, with readings above 80 considered overbought // and readings below 20 considered oversold. // // SETTINGS USED: // - %K Period: 5 (faster sensitivity to price movements) // - %D Period: 3 (smoothing of %K) // - Smoothing: 3 (additional smoothing applied to the %K line) // - Overbought Level: 80 // - Oversold Level: 20 // // HOW IT'S USED IN THIS STRATEGY: // // 1. Bull Signal Enhancement: // When the 15 EMA crosses above the 50 EMA (primary signal), we check // if the Stochastic is below 20 or has just crossed above 20. This suggests // momentum is starting to turn upward from an oversold condition, improving // the quality of the long entry. // // 2. Bear Signal Enhancement: // When the 15 EMA crosses below the 50 EMA (primary signal), we check // if the Stochastic is above 80 or has just crossed below 80. This suggests // momentum is starting to turn downward from an overbought condition, // improving the quality of the short entry. // // 3. Early Warning: // Stochastic movements below 20 or above 80 can provide early warning of // potential EMA crossovers, allowing traders to prepare for possible entry // signals. // // The Stochastic filter is optional and can be enabled/disabled through the // strategy inputs. When disabled, the strategy relies solely on EMA crossovers // for entry signals. // // NOTE: While Stochastic can improve signal quality, no indicator is perfect. // False signals can occur, especially in ranging or choppy markets. Always // combine with proper risk management and consider the overall market context. // // ============================================================================
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Forex_Fire tarafından
4
Parsifal.Swing.FlowThe Parsifal.Swing.Flow indicator is a module within the Parsifal Swing Suite, which includes a set of swing indicators such as: • Parsifal Swing TrendScore • Parsifal Swing Composite • Parsifal Swing RSI • Parsifal Swing Flow Each module serves as an indicator facilitating judgment of the current swing state in the underlying market. ________________________________________ Background Market movements typically follow a time-varying trend channel within which prices oscillate. These oscillations—or swings—within the trend are inherently tradable. They can be approached: • One-sidedly, aligning with the trend (generally safer), or • Two-sidedly, aiming to profit from mean reversions as well. Note: Mean reversions in strong trends often manifest as sideways consolidations, making one-sided trades more stable. ________________________________________ The Parsifal Swing Suite The modules aim to provide additional insights into the swing state within a trend and offer various trigger points to assist with entry decisions. All modules in the suite act as weak oscillators, meaning they fluctuate within a range but are not bounded like true oscillators (e.g., RSI, which is constrained between 0% and 100%). ________________________________________ The Parsifal.Swing.Flow – Specifics The Parsifal.Swing.Flow module aggregates price and trading flow data per bin (a "bin" refers to a single candle or time bucket) and smooths this information over recent historical data to reflect ongoing market dynamics. ________________________________________ How Swing.Flow Works For each bin, individual data points—called "bin-infolets"—are collected. Each infolet reflects the degree and direction of trading flow, offering insight into buying and selling pressure. The module processes this data in two steps: 1. Aggregation: All bin-infolet values within a bin are averaged to produce a single bin-flow value. 2. Smoothing: The resulting bin-flow values are then smoothed across multiple bins, typically using short-term EMAs. The outcome is a dynamic representation of the current swing state based on recent trading flow activity. ________________________________________ How to Interpret Swing.Flow • Range-bound but not a true oscillator: While individual bin-infolets are range-bound, the Swing.Flow indicator itself is not a classical oscillator. • Overbought/Oversold Signals: Historically high or low values in Swing.Flow may signal overbought or oversold conditions. • Chart Representation: o A fast curve (orange) o A slow curve (white) o A shaded background that illustrates overall market state • Mean Reversion Signals: Extreme curve values followed by reversals may indicate the onset of a mean reversion in price. ________________________________________ Flow Background Value The Flow Background Value represents the net state of trading flow: • > 0 (green shading) → Bullish mode • < 0 (red shading) → Bearish mode • The absolute value reflects the confidence level in the current trend direction ________________________________________ How to Use the Parsifal.Swing.Flow Several change points can act as entry point triggers: • Fast Trigger: A change in the slope of the fast signal curve • Trigger: The fast line crossing the slow line or a change in the slope of the slow signal • Slow Trigger: A change in the sign of the Background Value These triggers are visualized in the accompanying chart. Additionally, market highs and lows that align with the swing indicator values can serve as pivot points for the ongoing price process. ________________________________________ As always, this indicator is best used in conjunction with other indicators and market information. While Parsifal.Swing.Flow offers valuable insight and potential entry points, it does not predict future price action. Rather, it reflects the most recent market tendencies, and should therefore be applied with discretion. ________________________________________ Extensions • Aggregation Method: The current approach—averaging all infolets—can be replaced by alternative weighting schemes, adjusted according to: o Historical performance o Relevance of data o Specific market conditions • Smoothing Period: The EMA-based smoothing period can be varied. In general, EMAs can be enhanced to reflect relevance-weighted probability measures, giving greater importance to recent data for a more adaptive and dynamic response. • Advanced Smoothing: EMAs can be further extended to include negative weights, similar to wavelet transform techniques, allowing even greater flexibility in smoothing methodologies.
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