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Moving_average

Velez Price Action Signals (with 20 & 200 SMA)Velez Price Action Signals – With 20 & 200 SMA Overlay This TradingView Pine Script is a clean and powerful reversal signal tool inspired by Oliver Velez’s price action philosophy, enhanced with trend context via two Simple Moving Averages. 🔍 Signal Logic Buy Signal: Current candle sweeps below the previous 5-bar low (liquidity grab). Candle is bullish (close > open). The lower wick is significantly larger than the body (e.g. ratio > 1.5). Sell Signal: Current candle sweeps above the previous 5-bar high. Candle is bearish (close < open). The upper wick is significantly larger than the body. Signals appear as BUY/SELL labels on the chart (non-repainting).
Pine Script®指标
由viharka提供
MA Dispersion+MA Dispersion+ — read the “breathing space” between your moving-averages Get instant feedback on trend strength, volatility expansion and mean-reversion — across any timeframe. MA Dispersion+ turns the humble moving-average stack into a single, easy-to-read oscillator that tells you at a glance whether price is coiling or fanning out. 🧩 What it does Plugs into your favourite MA setup • Pick the classic 5 / 20 / 50 / 200 lengths or disable any combination with one click. • Choose the MA engine you trust — SMA, EMA, RMA, VWMA or WMA. • Works on any timeframe thanks to TradingView’s security() engine. Measures “spread” For every bar it calculates the absolute distance of each selected MA from their average. The tighter the stack, the lower the value; the wider the fan, the higher the value. Adds professional-grade controls • Weighting — let short-term MAs dominate (Inverse Length), keep everything equal, or dial in your own custom weights. • Normalisation — convert the raw distance into a percentage of price, ATR multiples, or scale by the MAs’ own mean so you can compare symbols of any price or volatility. 🔍 How traders use it Trend confirmation – rising dispersion while price breaks out = momentum is genuine. Volatility squeeze – dispersion parking near zero warns that a big move is loading. Multi-TF outlook – drop one pane per timeframe (e.g. 5 m, 1 h, 1 D) and see which layer of the market is driving. Mean-reversion plays – spikes that fade quickly often coincide with exhaustion and snap-backs. ⚙️ Quick-start Add MA Dispersion+ to your chart. Set the pane’s timeframe in the first input. Tick the MA lengths you actually use. (Optional) Pick a weighting scheme and a normaliser. Repeat the indicator for as many timeframes as you like — each instance keeps its own settings. ✨ Why you’ll love it Zero clutter – one orange line tells you what four separate MAs whisper. Configurable yet bullet-proof – all lengths are hard-coded constants, so Pine never complains. Context aware – normalisation lets you compare BTC’s $60 000 chaos with EURUSD’s four--decimals calm. Lightweight – no labels, no drawings, no background processing — perfect for mobile and multi-pane layouts. Give MA Dispersion+ a try and let your charts breathe — you’ll never look at moving-average ribbons the same way again. Happy trading!
Pine Script®指标
由GeoffGolder提供
CAN INDICATORCAN Moving Averages Indicator - Feature Guide 1. Multiple Moving Averages (20 MAs) - Supports up to 20 individual moving averages - Each MA can be independently configured: - Enable/Disable toggle - Length (period) setting - Type selection (SMA, EMA, DEMA, VWMA, RMA, WMA) - Color customization - Individual timeframe settings when global timeframe is disabled Pre-configured MA Settings: 1. MA1-8: SMA type - Lengths: 20, 50, 100, 200, 365, 489, 600, 1460 2. MA9-20: EMA type - Lengths: 30, 60, 120, 240, 300, 400, 500, 700, 800, 900, 1000, 2000 2. Global Timeframe Settings Location: Global Settings group Features: - Use Global Timeframe: Toggle to use one timeframe for all MAs - Global Timeframe: Select the timeframe to apply globally 3. Label Display Options Location: Main Inputs section Controls: - Show MA Type: Display MA type (SMA, EMA, etc.) - Show MA Length: Display period length - Show Resolution: Display timeframe - Label Offset: Adjust label position 4. Cross Alerts System Location: Cross Alerts group Features: 1. Price Crosses: - Alerts when price crosses any selected MA - Select MA to monitor (1-20) - Triggers on crossover/crossunder 2. MA Crosses: - Alerts when one MA crosses another - Select fast MA (1-20) - Select slow MA (1-20) - Triggers on crossover/crossunder 5. Relative Strength (RS) Analysis Location: Relative Strength group Features: - Select any MA to monitor (1-20) - Compares MA to its own average - Adjustable RS Length (default 14) - Visual feedback via background color: - Green: MA above its average (uptrend) - Red: MA below its average (downtrend) - Customizable colors and transparency 6. Moving Average Types Available 1. **SMA** (Simple Moving Average) - Equal weight to all prices 2. **EMA** (Exponential Moving Average) - More weight to recent prices 3. **DEMA** (Double Exponential Moving Average) - Reduced lag compared to EMA 4. **VWMA** (Volume Weighted Moving Average) - Incorporates volume data 5. **RMA** (Running Moving Average) - Smoother than EMA 6. **WMA** (Weighted Moving Average) - Linear weight distribution Usage Tips 1. **For Trend Following:** - Enable longer-period MAs (MA4-MA8) - Use cross alerts between long-term MAs - Monitor RS for trend strength 2. **For Short-term Trading:** - Focus on shorter-period MAs (MA1-MA3, MA9-MA11) - Enable price cross alerts - Use multiple timeframe analysis 3. **For Multiple Timeframe Analysis:** - Disable global timeframe - Set different timeframes for each MA - Compare MA relationships across timeframes 4. **For Performance:** - Disable unused MAs - Limit active alerts to necessary pairs - Use RS selectively on key MAs
Pine Script®指标
由mr_uponly提供
Multi-Symbol Trend DashboardMulti-Symbol Trend Dashboard - MA Cross Trend Monitor Short Description A customizable dashboard that displays trend direction across multiple symbols and timeframes using moving average crossovers. Full Description Overview This Multi-Symbol Trend Dashboard allows you to monitor trend direction across 7 different symbols and 5 timeframes simultaneously in a single view. The dashboard uses moving average crossovers to determine trend direction, displaying bullish trends in green and bearish trends in red. Key Features Multi-Symbol Monitoring : Track up to 7 different trading instruments at once Multi-Timeframe Analysis: View 5 different timeframes simultaneously for each instrument Customizable Moving Averages: Choose between SMA, EMA, or WMA with adjustable periods Visual Clarity: Color-coded cells provide immediate trend identification Flexible Positioning: Place the dashboard anywhere on your chart Customizable Appearance: Adjust sizes, colors, and text formatting How It Works The dashboard calculates a fast MA and slow MA for each symbol-timeframe combination. When the fast MA is above the slow MA, the cell shows green (bullish). When the fast MA is below the slow MA, the cell shows red (bearish). Use Cases Get a bird's-eye view of market trends across multiple instruments Identify potential trading opportunities where multiple timeframes align Monitor your watchlist without switching between charts Spot divergences between related instruments Track market breadth across sectors or related instruments Notes and Limitations Limited to 7 symbols and 5 timeframes due to TradingView's security request limits Uses simple MA crossover as trend determination method Dashboard is most effective when displayed on a dedicated chart Performance may vary on lower-end devices due to multiple security requests Settings Explanation MA Settings: Configure the periods and types of moving averages Display Settings: Adjust dashboard positioning and visual elements Trading Instruments: Select which symbols to monitor (defaults to major forex pairs) Timeframes: Choose which timeframes to display (default: M15, H1, H4, D1, W1) Colors: Customize the color scheme for bullish/bearish indications and headers This dashboard provides a straightforward way to maintain situational awareness across multiple markets and timeframes, helping traders identify potential setups and market conditions at a glance.
Pine Script®指标
由CognitiveAlpha提供
1
Moving Average ToolkitMoving Average Toolkit - Advanced MA Analysis with Flexible Source Input A powerful and versatile moving average indicator designed for maximum flexibility. Its unique source input feature allows you to analyze moving averages of ANY indicator or price data, making it perfect for creating custom combinations with RSI, Volume, OBV, or any other technical indicator. Key Features: • Universal Source Input: - Analyze moving averages of any data: Price, Volume, RSI, MACD, Custom Indicators - Perfect for creating advanced technical setups - Identify trends in any technical data • 13 Moving Average Types: - Traditional: SMA, EMA, WMA, RMA, VWMA - Advanced: HMA, T3, DEMA, TEMA, KAMA, ZLEMA, McGinley, EPMA • Dual MA System: - Compare two different moving averages - Independent settings for each MA - Perfect for multiple timeframe analysis • Visual Offset Analysis: - Dynamic color changes based on momentum - Fill between current and offset values - Clear visualization of trend strength Usage Examples: • Price Trend: Traditional MA analysis using price data • Volume Trend: Apply MA to volume for volume trend analysis • RSI Trend: Smooth RSI movements for clearer signals • Custom: Apply to any indicator output for unique insights Settings: • Fully customizable colors for bull/bear conditions • Adjustable offset periods • Independent length settings • Optional second MA for comparison Perfect for: • Advanced technical analysts • Multi-indicator strategy developers • Custom indicator creators • Traders seeking flexible analysis tools This versatile toolkit goes beyond traditional moving averages by allowing you to apply sophisticated MA analysis to any technical data, creating endless possibilities for custom technical analysis strategies.
Pine Script®指标
由aleskxyz提供
Quad Rotation StochasticQuad Rotation Stochastic The Quad Rotation Stochastic is a powerful and unique momentum oscillator that combines four different stochastic setups into one tool, providing an incredibly detailed view of market conditions. This multi-timeframe stochastic approach helps traders better anticipate trend continuations, reversals, and momentum shifts with greater precision than traditional single stochastic indicators. Why this indicator is useful: Multi-layered Momentum Analysis: Instead of relying on one stochastic, this script tracks four independent stochastic readings, smoothing out noise and confirming stronger signals. Advanced Divergence Detection: It automatically identifies bullish and bearish divergences for each stochastic, helping traders spot potential reversals early. Background Color Alerts: When a configurable number (e.g., 3 or 4) of the stochastics agree in direction and position (overbought/oversold), the background colors green (bullish) or red (bearish) to give instant visual cues. ABCD Pattern Recognition: The script recognizes "shield" patterns when Stochastic 4 remains stuck at extreme levels (above 90 or below 10) for a set time, warning of potential trend continuation setups. Super Signal Alerts: If all four stochastics align in extreme conditions and slope in the same direction, the indicator plots a special "Super Signal," offering high-confidence entry opportunities. Why this indicator is unique: Quad Confirmation Logic: Combining four different stochastics makes this tool much less prone to false signals compared to using a single stochastic. Customizable Divergence Coloring: Traders can choose to have divergence lines automatically match the stochastic color for clear visual association. Adaptive ABCD Shields: Innovative use of bar counting while a stochastic remains extreme acts as a "shield," offering a unique way to filter out minor fake-outs. Flexible Configuration: Each stochastic's sensitivity, divergence settings, and visual styling can be fully customized, allowing traders to adapt it to their own strategy and asset. Example Usage: Trading Bitcoin with Quad Rotation Stochastic When trading Bitcoin (BTCUSD), you might set the minimum count (minCount) to 3, meaning three out of four stochastics must be in agreement to trigger a background color. If the background turns green, and you notice an ABCD Bullish Shield (Green X), you might look for bullish candlestick patterns or moving average crossovers to enter a long trade. Conversely, if the background turns red and a Super Down Signal appears, it suggests high probability for further downside, giving you strong confirmation to either short BTC or avoid entering new longs. By combining divergence signals with background colors and the ABCD shields, the Quad Rotation Stochastic provides a layered confirmation system that gives traders greater confidence in their entries and exits — particularly in fast-moving, volatile markets like Bitcoin.
Pine Script®指标
由SaveWithCrypto提供
24
AllMA Trend Radar [trade_lexx]📈 AllMA Trend Radar is your universal trend analysis tool! 📊 What is AllMA Trend Radar? AllMA Trend Radar is a powerful indicator that uses various types of Moving Averages (MA) to analyze trends and generate trading signals. The indicator allows you to choose from more than 30 different types of moving averages and adjust their parameters to suit your trading style. 💡 The main components of the indicator 📈 Fast and slow moving averages The indicator uses two main lines: - Fast MA (blue line): reacts faster to price changes - Slow MA (red line): smoother, reflects a long-term trend The combined use of fast and slow MA allows you to get trend confirmation and entry/exit points from the market. 🔄 Wide range of moving averages There are more than 30 types of moving averages at your disposal: - SMA: Simple moving average - EMA: Exponential moving average - WMA: Weighted moving average - DEMA: double exponential MA - TEMA: triple exponential MA - HMA: Hull Moving Average - LSMA: Moving average of least squares - JMA: Eureka Moving Average - ALMA: Arnaud Legoux Moving Average - ZLEMA: moving average with zero delay - And many others! 🔍 Indicator signals 1️⃣ Fast 🆚 Slow MA signals (intersection and ratio of fast and slow MA) Up/Down signals (intersection) - Buy (Up) signal: - What happens: the fast MA crosses the slow MA from bottom to top - What does the green triangle with the "Buy" label under the candle look like - What does it mean: a likely upward trend reversal or an uptrend strengthening - Sell signal (Down): - What happens: the fast MA crosses the slow MA from top to bottom - What does it look like: a red triangle with a "Sell" mark above the candle - What does it mean: a likely downtrend reversal or an increase in the downtrend Greater/Less signals (ratio) - Buy signal (Greater): - What happens: the fast MA becomes higher than the slow MA - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: the formation or confirmation of an uptrend - Sell signal (Less): - What happens: the fast MA becomes lower than the slow MA - What does it look like: a red triangle with a "Sell" mark above the candle - What does it mean: the formation or confirmation of a downtrend 2️⃣ Signals ⚡️ Fast MA (fast MA and price) Up/Down signals (intersection) - Buy signal (Up Fast): - What happens: the price crosses the fast MA from bottom to top - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: a short-term price growth signal - Sell signal (Down Fast): - What happens: the price crosses the fast MA from top to bottom - What does it look like: a red triangle with a "Sell" label above the candle - What does it mean: a short-term price drop signal Greater/Less signals (ratio) - Buy signal (Greater Fast): - What happens: the price is getting higher than the fast MA - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: the price is above the fast MA, which indicates an upward movement - Sell signal (Less Fast): - What happens: the price is getting lower than the fast MA - What does it look like: a red triangle with a "Sell" mark above the candle - What does it mean: the price is under the fast MA, which indicates a downward movement 3️⃣ Signals 🐢 Slow MA (slow MA and price) Up/Down signals (intersection) - Buy signal (Up Slow): - What happens: the price crosses the slow MA from bottom to top - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: a potential medium-term upward trend reversal - Sell signal (Down Slow): - What happens: the price crosses the slow MA from top to bottom - What does it look like: a red triangle with a "Sell" label above the candle - What does it mean: a potential medium-term downward trend reversal Greater/Less signals (ratio) - Buy signal (Greater Slow): - What happens: the price is getting above the slow MA - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: the price is above the slow MA, which indicates a strong upward movement - Sell signal (Less Slow): - What is happening: the price is getting below the slow MA - What does it look like: a red triangle with a "Sell" mark above the candle - What does it mean: the price is under the slow MA, which indicates a strong downward movement 🛠 Filters to filter out false signals 1️⃣ Minimum distance between the signals - What it does: sets the minimum number of candles between signals of the same type - Why it is needed: it prevents the appearance of too frequent signals, especially during periods of high volatility - How to set it up: Set a different value for each signal type (default: 3-5 bars) - Example: if the value is 3 for Up/Down signals, after the buy signal appears, the next buy signal may appear no earlier than 3 bars later 2️⃣ Advanced indicator filters 🔍 RSI Filter - What it does: Checks the Relative Strength Index (RSI) value before generating a signal - Why it is needed: it helps to avoid countertrend entries and catch reversal points - How to set up: - For buy signals (🔋 Buy): set the RSI range, usually in the oversold zone (for example, 1-30) - For sell signals (🪫 Sell): set the RSI range, usually in the overbought zone (for example, 70-100) - Example: if the RSI = 25 (in the range 1-30), the buy signal will be confirmed 📊 MFI Filter (Cash Flow Index) - What it does: analyzes volumes and the direction of price movement - Why it is needed: confirms signals with data on the activity of cash flows - How to set up: - For buy signals (🔋 Buy): set the MFI range in the oversold zone (for example, 1-25) - For sell signals (🪫 Sell): set the MFI range in the overbought zone (for example, 75-100) - Example: if MFI = 80 (in the range of 75-100), the sell signal will be confirmed 📈 Stochastic Filter - What it does: analyzes the position of the current price relative to the price range - Why it is needed: confirms signals based on overbought/oversold conditions - How to configure: - You can configure the K Length, D Length and Smoothing parameters - For buy signals (🔋 Buy): set the stochastic range in the oversold zone (for example, 1-20) - For sell signals (🪫 Sell): set the stochastic range in the overbought zone (for example, 80-100) - Example: if stochastic = 15 (is in the range of 1-20), the buy signal will be confirmed 🔌 Connecting to trading strategies The indicator provides various connectors to connect to your trading strategies.: 1️⃣ Individual connectors for each type of signal - 🔌Fast vs Slow Up/Down MA Signal🔌: signals for the intersection of fast and slow MA - 🔌Fast vs Slow Greater/Less MA Signal🔌: signals of the ratio of fast and slow MA - 🔌Fast Up/Down MA Signal🔌: signals of the intersection of price and fast MA - 🔌Fast Greater/Less MA Signal🔌: signals of the ratio of price and fast MA - 🔌Slow Up/Down MA Signal🔌: signals of the intersection of price and slow MA - 🔌Slow Greater/Less MA Signal🔌: Price versus slow MA signals 2️⃣ Combined connectors - 🔌Combined Up/Down MA Signal🔌: combines all the crossing signals (Up/Down) - 🔌Combined Greater/Less MA Signal🔌: combines all the signals of the ratio (Greater/Less) - 🔌Combined All MA Signals🔌: combines all signals (Up/Down and Greater/Less) ❗️ All connectors return values: - 1: buy signal - -1: sell signal - 0: no signal 📚 How to start using AllMA Trend Radar 1️⃣ Selection of types of moving averages - Add an indicator to the chart - Select the type and period for the fast MA (default: DEMA with a period of 14) - Select the type and period for the slow MA (default: SMA with a period of 14) - Experiment with different types of MA to find the best combination for your trading style 2️⃣ Signal settings - Turn on the desired signal types (Up/Down, Greater/Less) - Set the minimum distance between the signals - Activate and configure the necessary filters (RSI, MFI, Stochastic) 3️⃣ Checking on historical data - Analyze how the indicator works based on historical data - Pay attention to the accuracy of the signals and the presence of false alarms - Adjust the settings if necessary 4️⃣ Introduction to the trading strategy - Decide which signals will be used to enter the position. - Determine which signals will be used to exit the position. - Connect the indicator to your trading strategy through the appropriate connectors 🌟 Practical application examples Scalping strategy - Fast MA: TEMA with a period of 8 - Slow MA: EMA with a period of 21 - Active signals: Fast MA Up/Down - Filters: RSI (range 1-40 for purchases, 60-100 for sales) - Signal spacing: 3 bars Strategy for day trading - Fast MA: TEMA with a period of 10 - Slow MA: SMA with a period of 20 - Active signals: Fast MA Up/Down and Fast vs Slow Greater/Less - Filters: MFI (range 1-25 for purchases, 75-100 for sales) - Signal spacing: 5 bars Swing Trading Strategy - Fast MA: DEMA with a period of 14 - Slow MA: VWMA with a period of 30 - Active signals: Fast vs Slow Up/Down and Slow MA Greater/Less - Filters: Stochastic (range 1-20 for purchases, 80-100 for sales) - Signal spacing: 8 bars A strategy for positional trading - Fast MA: HMA with a period of 21 - Slow MA: SMA with a period of 50 - Active signals: Slow MA Up/Down and Fast vs Slow Greater/Less - Filters: RSI and MFI at the same time - The distance between the signals: 10 bars 💡 Tips for using AllMA Trend Radar 1. Select the types of MA for market conditions: - For trending markets: DEMA, TEMA, HMA (fast MA) - For sideways markets: SMA, WMA, VWMA (smoothed MA) - For volatile markets: KAMA, AMA, VAMA (adaptive MA) 2. Combine different types of signals: - Up/Down signals work better when moving from a sideways trend to a directional one - Greater/Less signals are optimal for fixing a stable trend 3. Use filters effectively: - The RSI filter works great in trending markets - MFI filter helps to confirm the strength of volume movement - Stochastic filter works well in lateral ranges 4. Adjust the minimum distance between the signals: - Small values (2-3 bars) for short-term trading - Average values (5-8 bars) for medium-term trading - Large values (10+ bars) for long-term trading 5. Use combination connectors: - For more reliable signals, connect the indicator through the combined connectors 💰 With the AllMA Trend Radar indicator, you get a universal trend analysis tool that can be customized for any trading style and timeframe. The combination of different types of moving averages and advanced filters allows you to significantly improve the accuracy of signals and the effectiveness of your trading strategy!
Pine Script®指标
由trade_lexx提供
Oil/gas ratio MAOil/Gas Ratio-Based Equivalent Price This indicator calculates the gas-equivalent price based on the current oil price and a defined oil/gas ratio. It helps identify relative overvaluation or undervaluation of natural gas compared to oil. Features: - Choose between a static or dynamic (SMA-based) oil/gas ratio - Displays the fair value of gas derived from oil prices - Works with any oil ticker symbol (e.g. BRENT, USOIL, etc.) Useful for traders analyzing intermarket relationships and looking for relative value signals between energy commodities.
Pine Script®指标
由Slavtrad提供
PineVersatilitiesBundleLibrary "PineVersatilitiesBundle" Versatilities (aka, Versatile Utilities) Pack includes: - Eighteen Price Variants bundled in a Map, - Nine Smoothing Variants bundled in a Map, - Visualisations that indicate on both - pane and chart. price_variants(lb)   Computes Several different averages using current and previous OHLC values   Parameters:      lb (int) : - lookback distance for combining OHLC values from the past with the present   Returns: Map of Eighteen Uncommon Combinations of single and two-bar OHLC averages (rounded-to-mintick) dynamic_MA(masrc, malen, lsmaoff, almasgm, almaoff, almaflr)   Dynamically computes Eight different MAs and returns a Map containing Nine MAs   Parameters:      masrc (float) : source series to compute MA      malen (simple int) : lookback distance for MA      lsmaoff (simple int) : optional LSMA offset - default is 0      almasgm (simple float) : optional ALMA sigma - default is 5      almaoff (simple float) : optional ALMA offset - default is 0.5      almaflr (simple bool) : optional ALMA floor flag - default is false   Returns: Map of MAs - 'ALMA', 'EMA', 'HMA', 'LSMA', 'RMA', 'SMA', 'SWMA', 'WMA', 'ALL' (rounded-to-mintick)
Pine Script®库
由nArAyaNa_rAmAnuja-dAsan提供
4
Enhanced Fuzzy SMA Analyzer (Multi-Output Proxy) [FibonacciFlux]EFzSMA: Decode Trend Quality, Conviction & Risk Beyond Simple Averages Stop Relying on Lagging Averages Alone. Gain a Multi-Dimensional Edge. The Challenge: Simple Moving Averages (SMAs) tell you where the price was , but they fail to capture the true quality, conviction, and sustainability of a trend. Relying solely on price crossing an average often leads to chasing weak moves, getting caught in choppy markets, or missing critical signs of trend exhaustion. Advanced traders need a more sophisticated lens to navigate complex market dynamics. The Solution: Enhanced Fuzzy SMA Analyzer (EFzSMA) EFzSMA is engineered to address these limitations head-on. It moves beyond simple price-average comparisons by employing a sophisticated Fuzzy Inference System (FIS) that intelligently integrates multiple critical market factors: Price deviation from the SMA ( adaptively normalized for market volatility) Momentum (Rate of Change - ROC) Market Sentiment/Overheat (Relative Strength Index - RSI) Market Volatility Context (Average True Range - ATR, optional) Volume Dynamics (Volume relative to its MA, optional) Instead of just a line on a chart, EFzSMA delivers a multi-dimensional assessment designed to give you deeper insights and a quantifiable edge. Why EFzSMA? Gain Deeper Market Insights EFzSMA empowers you to make more informed decisions by providing insights that simple averages cannot: Assess True Trend Quality, Not Just Location: Is the price above the SMA simply because of a temporary spike, or is it supported by strong momentum, confirming volume, and stable volatility? EFzSMA's core fuzzyTrendScore (-1 to +1) evaluates the health of the trend, helping you distinguish robust moves from noise. Quantify Signal Conviction: How reliable is the current trend signal? The Conviction Proxy (0 to 1) measures the internal consistency among the different market factors analyzed by the FIS. High conviction suggests factors are aligned, boosting confidence in the trend signal. Low conviction warns of conflicting signals, uncertainty, or potential consolidation – acting as a powerful filter against chasing weak moves. // Simplified Concept: Conviction reflects agreement vs. conflict among fuzzy inputs bullStrength = strength_SB + strength_WB bearStrength = strength_SBe + strength_WBe dominantStrength = max(bullStrength, bearStrength) conflictingStrength = min(bullStrength, bearStrength) + strength_N convictionProxy := (dominantStrength - conflictingStrength) / (dominantStrength + conflictingStrength + 1e-10) // Modifiers (Volatility/Volume) applied... Anticipate Potential Reversals: Trends don't last forever. The Reversal Risk Proxy (0 to 1) synthesizes multiple warning signs – like extreme RSI readings, surging volatility, or diverging volume – into a single, actionable metric. High reversal risk flags conditions often associated with trend exhaustion, providing early warnings to protect profits or consider counter-trend opportunities. Adapt to Changing Market Regimes: Markets shift between high and low volatility. EFzSMA's unique Adaptive Deviation Normalization adjusts how it perceives price deviations based on recent market behavior (percentile rank). This ensures more consistent analysis whether the market is quiet or chaotic. // Core Idea: Normalize deviation by recent volatility (percentile) diff_abs_percentile = ta.percentile_linear_interpolation(abs(raw_diff), normLookback, percRank) + 1e-10 normalized_diff := raw_diff / diff_abs_percentile // Fuzzy sets for 'normalized_diff' are thus adaptive to volatility Integrate Complexity, Output Clarity: EFzSMA distills complex, multi-factor analysis into clear, interpretable outputs, helping you cut through market noise and focus on what truly matters for your decision-making process. Interpreting the Multi-Dimensional Output The true power of EFzSMA lies in analyzing its outputs together: A high Trend Score (+0.8) is significant, but its reliability is amplified by high Conviction (0.9) and low Reversal Risk (0.2) . This indicates a strong, well-supported trend. Conversely, the same high Trend Score (+0.8) coupled with low Conviction (0.3) and high Reversal Risk (0.7) signals caution – the trend might look strong superficially, but internal factors suggest weakness or impending exhaustion. Use these combined insights to: Filter Entry Signals: Require minimum Trend Score and Conviction levels. Manage Risk: Consider reducing exposure or tightening stops when Reversal Risk climbs significantly, especially if Conviction drops. Time Exits: Use rising Reversal Risk and falling Conviction as potential signals to take profits. Identify Regime Shifts: Monitor how the relationship between the outputs changes over time. Core Technology (Briefly) EFzSMA leverages a Mamdani-style Fuzzy Inference System. Crisp inputs (normalized deviation, ROC, RSI, ATR%, Vol Ratio) are mapped to linguistic fuzzy sets ("Low", "High", "Positive", etc.). A rules engine evaluates combinations (e.g., "IF Deviation is LargePositive AND Momentum is StrongPositive THEN Trend is StrongBullish"). Modifiers based on Volatility and Volume context adjust rule strengths. Finally, the system aggregates these and defuzzifies them into the Trend Score, Conviction Proxy, and Reversal Risk Proxy. The key is the system's ability to handle ambiguity and combine multiple, potentially conflicting factors in a nuanced way, much like human expert reasoning. Customization While designed with robust defaults, EFzSMA offers granular control: Adjust SMA, ROC, RSI, ATR, Volume MA lengths. Fine-tune Normalization parameters (lookback, percentile). Note: Fuzzy set definitions for deviation are tuned for the normalized range. Configure Volatility and Volume thresholds for fuzzy sets. Tuning these is crucial for specific assets/timeframes. Toggle visual elements (Proxies, BG Color, Risk Shapes, Volatility-based Transparency). Recommended Use & Caveats EFzSMA is a sophisticated analytical tool, not a standalone "buy/sell" signal generator. Use it to complement your existing strategy and analysis. Always validate signals with price action, market structure, and other confirming factors. Thorough backtesting and forward testing are essential to understand its behavior and tune parameters for your specific instruments and timeframes. Fuzzy logic parameters (membership functions, rules) are based on general heuristics and may require optimization for specific market niches. Disclaimer Trading involves substantial risk. EFzSMA is provided for informational and analytical purposes only and does not constitute financial advice. No guarantee of profit is made or implied. Past performance is not indicative of future results. Use rigorous risk management practices.
Pine Script®指标
由FibonacciFlux提供
EMA Clouds with Strict Buy/Sell SignalsEMA Clouds with Strict Buy/Sell Signals - Precision Trading Unleashed Unlock the power of trend-following precision with the EMA Clouds with Strict Buy/Sell Signals indicator, a sophisticated tool built for traders who demand reliability and clarity in their decision-making. Inspired by the legendary Ripster EMA Clouds, this indicator takes the classic cloud concept to the next level by incorporating stricter, high-confidence signals—perfect for navigating the markets on 15-minute or higher timeframes. Why You’ll Want This on Your Chart: Dual EMA Clouds for Crystal-Clear Trends: Watch as two dynamic clouds—formed by carefully paired Exponential Moving Averages (8/21 and 34/50)—paint a vivid picture of market momentum. The green short-term cloud and red long-term cloud provide an intuitive, at-a-glance view of trend direction and strength. Stricter Signals, Fewer False Moves: Tired of chasing weak signals? This indicator only triggers buy and sell signals when the stars align: a cloud crossover (short-term crossing above or below long-term) and price confirmation above or below both clouds. The result? Fewer trades, higher conviction, and a cleaner chart. Customizable Timeframe Power: Whether you’re a scalper on the 15-minute chart or a swing trader on the daily, tailor the clouds to your preferred higher timeframe (15min, 30min, 1hr, 4hr, or daily) for seamless integration into your strategy. Visual Mastery Meets Actionable Alerts: Green buy triangles below the bars and red sell triangles above them make spotting opportunities effortless. Pair this with built-in alerts, and you’ll never miss a high-probability trade again. How It Works: Buy Signal: Triggers when the short-term cloud crosses above the long-term cloud and the price surges above both, signaling a robust bullish breakout. Sell Signal: Activates when the short-term cloud dips below the long-term cloud and the price falls beneath both, confirming bearish dominance. Cloud Visualization: The green cloud (8/21 EMA) tracks fast-moving trends, while the red cloud (34/50 EMA) anchors the broader market direction—together, they filter noise and spotlight tradable moves. Why Traders Will Love It: Designed for those who value precision over guesswork, this indicator cuts through market clutter to deliver signals you can trust. Whether you’re trading stocks, forex, crypto, or futures, its adaptability and strict logic make it a must-have tool for serious traders. Customize the EMA lengths, tweak the timeframe, and watch your edge sharpen. Add EMA Clouds with Strict Buy/Sell Signals to your chart today and experience the confidence of trading with a tool that’s as disciplined as you are. Your next big move is waiting—don’t let it slip away.
Pine Script®指标
由epphllps提供
4
RSI + Stochastic + WMA StrategyThis script is designed for TradingView and serves as a trading strategy (not just a visual indicator). It's intended for backtesting, strategy optimization, or live trading signal generation using a combination of popular technical indicators. 📊 Indicators Used in the Strategy: Indicator Description RSI (Relative Strength Index) Measures momentum; identifies overbought (>70) or oversold (<30) conditions. Stochastic Oscillator (%K & %D) Detects momentum reversal points via crossovers. Useful for timing entries. WMA (Weighted Moving Average) Identifies the trend direction (used as a trend filter). 📈 Trading Logic / Strategy Rules: 📌 Long Entry Condition (Buy Signal): All 3 conditions must be true: RSI is Oversold → RSI < 30 Stochastic Crossover Upward → %K crosses above %D Price is above WMA → Confirms uptrend direction 👉 Interpretation: Market was oversold, momentum is turning up, and price confirms uptrend — bullish entry. 📌 Short Entry Condition (Sell Signal): All 3 conditions must be true: RSI is Overbought → RSI > 70 Stochastic Crossover Downward → %K crosses below %D Price is below WMA → Confirms downtrend direction 👉 Interpretation: Market is overbought, momentum is turning down, and price confirms downtrend — bearish entry. 🔄 Strategy Execution (Backtesting Logic): The script uses: pinescript Copy Edit strategy.entry("LONG", strategy.long) strategy.entry("SHORT", strategy.short) These are Pine Script functions to place buy and sell orders automatically when the above conditions are met. This allows you to: Backtest the strategy Measure win/loss ratio, drawdown, and profitability Optimize indicator settings using TradingView Strategy Tester 📊 Visual Aids (Charts): Plots WMA Line: Orange line for trend direction Overbought/Oversold Zones: Horizontal lines at 70 (red) and 30 (green) for RSI visualization ⚡ Strategy Type Summary: Category Setting Strategy Type Momentum Reversal + Trend Filter Timeframe Flexible (Works best on 1H, 4H, Daily) Trading Style Swing/Intraday Risk Profile Medium to High (due to momentum triggers) Uses Leverage Possible (adjust risk accordingly)
Pine Script®策略
由RevoTheTrader提供
Color Themed Guppy Multiple Moving Average ========== TLDR ========== The "Color Themed Guppy Multiple Moving Average" plots a group of 6 Moving Averages on your chart with a selection of color themes to automatically style the different length Moving Average lines. As someone who struggles with screens and colors on a busy chart, this indicator has helped me a lot in quickly identifying which Moving Average price is respecting the most - giving me better signals for trade entries and trend loss. ========== Key Features and Advantages ========== - Show different length Moving Averages with a single indicator - quickly make your chart more readable with 12 different color themes - The themes will color the Moving Averages with a gradient (light - dark), with a lighter color indicating a shorter length or 'faster' Moving Average - Select the type of Moving Average you would like to use ========== Use Cases ========== Identify Specific Length Moving Averages That are Acting as Support or Resistance: Having each Moving Average coloured by a theme makes it easier to track each individual line with your eyes, making it easier to quickly find the Moving Averages that price is respecting the most for a given asset and/or trend. Get Bias Quickly: When all 6 of the Moving Averages are 'stacked' on top of each other in order, and all are angled either up or down, it can provide a useful bias for the market on your timeframe. For example, If the fastest (smallest length) Moving Averages are angled up and sitting above the slower (largest length) Moving Averages, it may indicate that a 'long' bias would be preferable for any trades. Having a color gradient from the themes makes it much easier to see when the Moving Average lines are "stacked" in order. Identify Turning Points: When the faster (smallest length) Moving Averages start to cross over the slower (largest length) Moving Averages, it may indicate a potential price/trend reversal. Again, having a color gradient from the themes makes it much easier to spot this ========== Theme Options ========== - Red - Orange - Yellow - Green - Teal - Light Blue - Blue - Violet - Purple - Pink - Rainbow - Solid - Rainbow - Light If you'd like other themes added feel free to request them in the comments and I can try to add more.
Pine Script®指标
由chriselderxyz提供
6
Breakouts With Timefilter Strategy [LuciTech]This strategy captures breakout opportunities using pivot high/low breakouts while managing risk through dynamic stop-loss placement and position sizing. It includes a time filter to limit trades to specific sessions. How It Works A long trade is triggered when price closes above a pivot high, and a short trade when price closes below a pivot low. Stop-loss can be set using ATR, prior candle high/low, or a fixed point value. Take-profit is based on a risk-reward multiplier. Position size adjusts based on the percentage of equity risked. Breakout signals are marked with triangles, and entry, stop-loss, and take-profit levels are plotted. moving average filter: Bullish breakouts only trigger above the MA, bearish breakouts below. The time filter shades the background during active trading hours. Customization: Adjustable pivot length for breakout sensitivity. Risk settings: percentage risked, risk-reward ratio, and stop-loss type. ATR settings: length, smoothing method (RMA, SMA, EMA, WMA). Moving average filter (SMA, EMA, WMA, VWMA, HMA) to confirm breakouts.
Pine Script®策略
由TradesLuci提供
Anchored Powered KAMA [LuxAlgo]The Anchored Powered KAMA tool is a new flavor of the famous Kaufman's Adaptive Moving Average (KAMA). It adds 5 different anchoring periods, a power exponent to the original KAMA calculation to increase the degree of filtering during ranging trends, and standard deviation bands calculated against the KAMA itself. 🔶 USAGE In the image above we can see the different parts of the tool, it displays the Anchored Powered KAMA surrounded by standard deviation bands at 2x (solid) and 1x (dashed) by default. This tool provides a simple and easy way to determine if the current market is ranging or trending and where the market extremes are in the current period. As a rule of thumb, traders may want to trade extremes in ranges and pullbacks in trends. When the KAMA is flat, a range is in place, so traders may want to wait for the price to reach an extreme before opening a trade in the other direction. Conversely, if the KAMA is moving up or down, a trend is in place and traders may want to wait for the price to pull back to the KAMA before opening a trade in the direction of the trend. 🔹 Anchor Period On the above chart, we can see different anchor periods on different chart timeframes. This option is very useful for those traders who use multi-timeframe analysis, allowing them to see how the market behaves over different timeframes. The valid values for this parameter are: Hourly Daily Weekly Monthly Yearly The tool has a built-in Auto feature for traders convenience, it automatically selects the optimal Anchor Period in function of the chart timeframe. timeframes up to 2m: Hourly timeframes up to 15m: Daily timeframes up to 1H: Weekly timeframes up to 4H: Monthly larger timeframes: Yearly 🔹 Choosing the Right Anchor Period In the chart above we can see the custom error message that the tool displays when the Auto feature is disabled and the Anchor Period is too large for the current chart timeframe. Traders can select a smaller Anchor Period or a larger chart timeframe for the tool to display correctly. 🔶 DETAILS The tool uses Welford's algorithm to calculate the KAMA's standard deviation, then plots the outer bands at the multiplier specified in the settings panel, and the inner bands at the multiplier specified minus 1. 🔹 Power Exponent The graph above shows how different values of this parameter can affect the output. To display the original KAMA a value of 1 must be set, by default this parameter is set to 2. The higher the value, the better the tool's ability to detect ranges. 🔶 SETTINGS Anchor Period: Select up to 5 different time periods from Hourly, Daily, Weekly, Monthly, and Yearly. Source: Choose the source for all calculations. Power Exponent: Fine-tune the KAMA calculation, a value of 1 will output the original KAMA, and is set to 2 by default. Band Multiplier: Select the multiplier for the standard deviation bands.
Pine Script®指标
由LuxAlgo提供
9
DynamicMALibrary "DynamicMA" Dynamic Moving Averages Library Introduction The Dynamic Moving Averages Library is a specialized collection of custom built functions designed to calculate moving averages dynamically, beginning from the first available bar. Unlike standard moving averages, which rely on fixed length lookbacks, this library ensures that indicators remain fully functional from the very first data point, making it an essential tool for analysing assets with short time series or limited historical data. This approach allows traders and developers to build robust indicators that do not require a preset amount of historical data before generating meaningful outputs. It is particularly advantageous for: Newly listed assets with minimal price history. High-timeframe trading, where large lookback periods can lead to delayed or missing data. By eliminating the constraints of fixed lookback periods, this library enables the seamless construction of trend indicators, smoothing functions, and hybrid models that adapt instantly to market conditions. Comprehensive Set of Custom Moving Averages The library includes a wide range of custom dynamic moving averages, each designed for specific analytical use cases: SMA (Simple Moving Average) – The fundamental moving average, dynamically computed. EMA (Exponential Moving Average) – Adaptive smoothing for better trend tracking. DEMA (Double Exponential Moving Average) – Faster trend detection with reduced lag. TEMA (Triple Exponential Moving Average) – Even more responsive than DEMA. WMA (Weighted Moving Average) – Emphasizes recent price action while reducing noise. VWMA (Volume Weighted Moving Average) – Accounts for volume to give more weight to high-volume periods. HMA (Hull Moving Average) – A superior smoothing method with low lag. SMMA (Smoothed Moving Average) – A hybrid approach between SMA and EMA. LSMA (Least Squares Moving Average) – Uses linear regression for trend detection. RMA (Relative Moving Average) – Used in RSI-based calculations for smooth momentum readings. ALMA (Arnaud Legoux Moving Average) – A Gaussian-weighted MA for superior signal clarity. Hyperbolic MA (HyperMA) – A mathematically optimized averaging method with dynamic weighting. Each function dynamically adjusts its calculation length to match the available bar count, ensuring instant functionality on all assets. Fully Optimized for Pine Script v6 This library is built on Pine Script v6, ensuring compatibility with modern TradingView indicators and scripts. It includes exportable functions for seamless integration into custom indicators, making it easy to develop trend-following models, volatility filters, and adaptive risk-management systems. Why Use Dynamic Moving Averages? Traditional moving averages suffer from a common limitation: they require a fixed historical window to generate meaningful values. This poses several problems: New Assets Have No Historical Data - If an asset has only been trading for a short period, traditional moving averages may not be able to generate valid signals. High Timeframes Require Massive Lookbacks - On 1W or 1M charts, a 200-period SMA would require 200 weeks or months of data, making it unusable on newer assets. Delayed Signal Initialization - Standard indicators often take dozens of bars to stabilize, reducing effectiveness when trading new trends. The Dynamic Moving Averages Library eliminates these issues by ensuring that every function: Starts calculation from bar one, using available data instead of waiting for a lookback period. Adapts dynamically across timeframes, making it equally effective on low or high timeframes. Allows smoother, more responsive trend tracking, particularly useful for volatile or low-liquidity assets. This flexibility makes it indispensable for custom script developers, quantitative analysts, and discretionary traders looking to build more adaptive and resilient indicators. Final Summary The Dynamic Moving Averages Library is a versatile and powerful set of functions designed to overcome the limitations of fixed-lookback indicators. By dynamically adjusting the calculation length from the first bar, this library ensures that moving averages remain fully functional across all timeframes and asset types, making it an essential tool for traders and developers alike. With built-in adaptability, low-lag smoothing, and support for multiple moving average types, this library unlocks new possibilities for quantitative trading and strategy development - especially for assets with short price histories or those traded on higher timeframes. For traders looking to enhance signal reliability, minimize lag, and build adaptable trading systems, the Dynamic Moving Averages Library provides an efficient and flexible solution. SMA(sourceData, maxLength)   Dynamic SMA   Parameters:      sourceData (float)      maxLength (int) EMA(src, length)   Dynamic EMA   Parameters:      src (float)      length (int) DEMA(src, length)   Dynamic DEMA   Parameters:      src (float)      length (int) TEMA(src, length)   Dynamic TEMA   Parameters:      src (float)      length (int) WMA(src, length)   Dynamic WMA   Parameters:      src (float)      length (int) HMA(src, length)   Dynamic HMA   Parameters:      src (float)      length (int) VWMA(src, volsrc, length)   Dynamic VWMA   Parameters:      src (float)      volsrc (float)      length (int) SMMA(src, length)   Dynamic SMMA   Parameters:      src (float)      length (int) LSMA(src, length, offset)   Dynamic LSMA   Parameters:      src (float)      length (int)      offset (int) RMA(src, length)   Dynamic RMA   Parameters:      src (float)      length (int) ALMA(src, length, offset_sigma, sigma)   Dynamic ALMA   Parameters:      src (float)      length (int)      offset_sigma (float)      sigma (float) HyperMA(src, length)   Dynamic HyperbolicMA   Parameters:      src (float)      length (int)
Pine Script®库
由Cryptosystems提供
2
[TehThomas] - MA Cross with DisplacementThis TradingView script, "MA Cross with Displacement," is designed to detect potential long and short trade opportunities based on moving average (MA) crossovers combined with price displacement confirmation. The script utilizes two simple moving averages (SMA) and highlights potential trade signals when a crossover occurs alongside a strong price movement (displacement). Why This Indicator is Useful This indicator enhances the standard moving average crossover strategy by incorporating a displacement condition, making trade signals more reliable. Many traders rely on moving average crossovers to determine trend reversals, but false signals often occur due to minor price fluctuations. By requiring a significant price movement (displacement), this indicator helps filter out weak or insignificant crossovers, leading to more high-probability trade opportunities. How It Works Calculates Two Moving Averages (MA) The user can set two different MA periods: MA 1 (blue line): Default period is 9 (shorter-term trend). MA 2 (red line): Default period is 21 (longer-term trend). These moving averages smooth out price fluctuations to identify overall trends. Detects Crossovers Bullish crossover: The blue MA crosses above the red MA + displacement candle → Potential long signal. Example of bullish cross with displacement: Bearish crossover: The blue MA crosses below the red MA + displacement candle → Potential short signal. Example of bearish cross with displacement: Confirms Displacement (Strong Price Move) A price displacement threshold is used (default: 1.1% of the previous candle size). For a valid trade signal, a crossover must occur alongside a strong price movement. Bullish Displacement Condition: Price increased by more than the threshold. Bearish Displacement Condition: Price decreased by more than the threshold. Visual Indicators on the Chart Bars are colored green when there is a bullish displacement. Bars are colored red when there is a bearish displacement. These color changes help traders quickly identify potential trade setups. How to Use the Indicator Add the Script to Your Chart Copy and paste the script into TradingView's Pine Script Editor. Click "Add to Chart" to activate it. Customize the Settings Adjust the moving average periods to fit your trading strategy. Modify the displacement threshold based on market volatility. Change the bar colors for better visualization. Look for Trade Signals Long Trade (Buy Signal) The blue MA crosses above the red MA (bullish crossover). A green bar appears, confirming bullish displacement. Short Trade (Sell Signal) The blue MA crosses below the red MA (bearish crossover). A red bar appears, confirming bearish displacement. Use in Conjunction with Other Indicators This indicator works best when combined with support & resistance levels, RSI, MACD, or volume analysis to improve trade accuracy. Final Thoughts The MA Cross with Displacement Indicator improves the reliability of moving average crossovers by requiring strong price movements to confirm a trade signal. This helps traders avoid false breakouts and weak trends, making it a powerful tool for identifying high-probability trades. __________________________________________ Thanks for your support! If you found this idea helpful or learned something new, drop a like 👍 and leave a comment—I’d love to hear your thoughts! 🚀 Make sure to follow me for more price action insights, free indicators, and trading strategies. Let’s grow and trade smarter together! 📈✨
Pine Script®指标
由TehThomas提供
ADX with Moving AverageADX with Moving Average is a powerful indicator that enhances trend analysis by combining the standard Average Directional Index (ADX) with a configurable moving average. The ADX helps traders identify the strength of a trend. In general: ADX 0-20 – Absent or Weak Trend ADX 25-50 – Strong Trend ADX 50-75 – Very Strong Trend ADX 75-100 – Extremely Strong Trend By adding a moving average we can judge if the ADX itself is trending upwards or downwards, i.e. if a new trend is emerging or an existing one is weakening. This combination allows traders to better confirm strong trends and filter out weak or choppy market conditions. Key Features & Customization: ✔ Configurable DI & ADX Lengths – Adjust how quickly the ADX reacts to price movements (default: 14, 14). ✔ Multiple Moving Average Options – Choose between SMA, EMA, WMA, VWMA, or T3 for trend confirmation. ✔ Custom MA Length – Fine-tune the sensitivity of the moving average to match your strategy. 🔹 Use this indicator to confirm strong trends before entering trades, filter out false signals, or refine existing strategies with a dynamic trend-strength component. 🚀
Pine Script®指标
由gstoyanov提供
1
Sma Indicator with Ratio (pr)SMA Indicator with Ratio (PR) is a technical analysis tool designed to provide insights into the relationship between multiple Simple Moving Averages (SMAs) across different time frames. This indicator combines three key SMAs: the 111-period SMA, 730-period SMA, and 1400-period SMA. Additionally, it introduces a ratio-based approach, where the 730-period SMA is multiplied by factors of 2, 3, 4, and 5, allowing users to analyze potential market trends and price movements in relation to different SMA levels. What Does This Indicator Do? The primary function of this indicator is to track the movement of prices in relation to several SMAs with varying periods. By visualizing these SMAs, users can quickly identify: Short-term trends (111-period SMA) Medium-term trends (730-period SMA) Long-term trends (1400-period SMA) Additionally, the multiplied versions of the 730-period SMA provide deeper insights into potential price reactions at different levels of market volatility. How Does It Work? The 111-period SMA tracks the shorter-term price trend and can be used for identifying quick market movements. The 730-period SMA represents a longer-term trend, helping users gauge overall market sentiment and direction. The 1400-period SMA acts as a very long-term trend line, giving users a broad perspective on the market’s movement. The ratio-based SMAs (2x, 3x, 4x, 5x of the 730-period SMA) allow for an enhanced understanding of how the price reacts to higher or lower volatility levels. These ratios are useful for identifying key support and resistance zones in a dynamic market environment. Why Use This Indicator? This indicator is useful for traders and analysts who want to track the interaction of price with different moving averages, enabling them to make more informed decisions about potential trend reversals or continuations. The added ratio-based values enhance the ability to predict how the market might react at different levels. How to Use It? Trend Confirmation: Traders can use the indicator to confirm the direction of the market. If the price is above the 111, 730, or 1400-period SMA, it may indicate an uptrend, and if below, a downtrend. Support/Resistance Levels: The multiplied versions of the 730-period SMA (2x, 3x, 4x, 5x) can be used as dynamic support or resistance levels. When the price approaches or crosses these levels, it might indicate a change in the trend. Volatility Insights: By observing how the price behaves relative to these SMAs, traders can gauge market volatility. Higher multiples of the 730-period SMA can signal more volatile periods where price movements are more pronounced.
Pine Script®指标
由pozitifnegatifuyumsuzluk提供
Pivot Point+ Supertrend + EMA + Support/Resistance- LAXMANTAK98 Pivot Point Supertrend with EMA and Support/Resistance Indicator This custom trading indicator combines the following key components to assist in market analysis and trade decision-making: Pivot Points: Pivot points are calculated based on a chosen price source (High, Low, Open, or Close). These levels are used to determine potential support and resistance zones. Pivot Highs (Resistance) and Pivot Lows (Support) are plotted as labels on the chart for easy identification. Supertrend Indicator: The Supertrend is a trend-following indicator that helps to identify bullish or bearish trends. It uses the Average True Range (ATR) to calculate dynamic support/resistance levels, with adjustable settings for ATR length and multiplier factor. The trend direction is visually represented by green (bullish) and red (bearish) lines on the chart. Exponential Moving Averages (EMA): The indicator plots up to four EMAs with user-defined periods (e.g., 9, 21, 50, 200). EMAs are commonly used to smooth out price data and identify trends over various timeframes. Support and Resistance Levels: Based on Pivot Points, support and resistance levels are plotted using crosses on the chart. These levels indicate possible price reversal points, helping traders spot key zones for entry and exit. Visual Alerts: The indicator includes built-in alerts for trend changes and potential buy/sell signals based on the transition between uptrend and downtrend states. This combined indicator allows traders to analyze trends, identify key levels for trading, and make more informed decisions by integrating Pivot Points, Supertrend, EMAs, and Support/Resistance in one cohesive system.
Pine Script®指标
由laxmantak98提供
Moving Average Hamming-RKMoving Average Hamming Description: A Moving Average using a Hamming window is a technique used in technical analysis to smooth price data. The Hamming window applies weighted smoothing, reducing sharp variations and edge effects in the data. This helps in identifying trends more effectively while minimizing noise. It can be used in combination with other technical indicators for better market analysis. Technical Use: The Hamming Moving Average reduces high-frequency noise, making trends clearer. It applies different weights to data points, giving more importance to the center of the window while reducing the impact of abrupt changes. This method is particularly useful in trend-following strategies as it minimizes false breakouts. It can also be integrated into algorithmic trading systems for improved price fluctuation filtering. When to Take a Position: Buy Signal: When the price crosses above the Hamming Moving Average, indicating a potential uptrend. Sell Signal: When the price crosses below the Hamming Moving Average, signaling a possible downtrend. Confirmation: Combine with other indicators like RSI or MACD to confirm the trend before entering a trade. Avoid Choppy Markets: The indicator works best in trending markets; avoid using it in sideways or ranging conditions. This approach helps traders refine their analysis, making informed decisions while reducing market noise.
Pine Script®指标
由RK1974提供
CHAKRA RISS ENGULFING CANDLESTICK STRATEGYChakra RISS Engulfing Candlestick Strategy Type: Technical Indicator & Strategy Platform: TradingView Script Version: Pine Script v6 Overview: The Chakra RISS Engulfing Candlestick Strategy combines a momentum-based approach using the Relative Strength Index (RSI) with Engulfing Candlestick Patterns to generate buy and sell signals. The strategy filters trades based on price movement relative to a 50-period Simple Moving Average (SMA), making it a trend-following strategy. The indicator uses color-coded bars to visually represent market conditions, helping traders easily identify bullish and bearish trends. The strategy is designed to be dynamic, adapting to changing market conditions and filtering out noise using key technical indicators. How It Works: RSI-Based Color Conditions: Green Bars: When the RSI crosses above a specified UpLevel (default: 50), indicating a bullish momentum and signaling potential buy conditions. Red Bars: When the RSI crosses below a specified DownLevel (default: 50), indicating a bearish momentum and signaling potential sell conditions. Buy Signal: Triggered when the following conditions are met: RSI crosses from below the UpLevel (default: 50) to above it, signaling increasing bullish momentum. The close price is above the 50-period Simple Moving Average (SMA), confirming an uptrend. The Buy Signal is plotted below the bar with a green arrow and a "BUY" label. Sell Signal: Triggered when the following conditions are met: RSI crosses from above the DownLevel (default: 50) to below it, signaling increasing bearish momentum. The close price is below the 50-period Simple Moving Average (SMA), confirming a downtrend. The Sell Signal is plotted above the bar with a red arrow and a "SELL" label. Stop Loss and Take Profit: For long trades (buy signals), the stop loss is placed below the previous bar's low, and the take profit is set at 3% above the entry price. For short trades (sell signals), the stop loss is placed above the previous bar's high, and the take profit is set at 3% below the entry price. Dynamic Bar Coloring: The bar colors change dynamically based on RSI levels: Green Bars: Indicating a potential uptrend (bullish). Red Bars: Indicating a potential downtrend (bearish). These visual cues help traders quickly identify market trends and potential reversals. Trend Filtering: The 50-period Simple Moving Average (SMA) is used to filter trades based on the overall market trend: Buy signals are only considered when the price is above the moving average, indicating an uptrend. Sell signals are only considered when the price is below the moving average, indicating a downtrend. Alerting System: Alerts can be set for both buy and sell signals. These alerts notify traders in real-time when potential trades are generated, allowing them to act promptly. Alerts can be configured to send notifications through email, SMS, or a webhook for integration with other services like IFTTT or Zapier. Key Features: RSI and Moving Average-Based Signals: Combines RSI with a moving average for more accurate trade signals. Stop Loss and Take Profit: Dynamic risk management with custom stop loss and take profit levels based on previous high and low prices. Buy and Sell Alerts: Provides real-time alerts when a buy or sell signal is triggered. Trend Confirmation: Uses the 50-period Simple Moving Average to filter signals and confirm the direction of the trend. Visual Bar Color Changes: Makes it easy to identify bullish or bearish trends with color-coded bars. Usage: This strategy is suitable for traders who prefer a trend-following approach and want to combine momentum indicators (RSI) with price action (Engulfing Candlestick patterns). It is particularly useful in volatile markets where quick identification of trend changes can lead to profitable trades. Best Used For: Day trading, swing trading, and trend-following strategies. Timeframes: Works well on various timeframes, from 1-minute charts for scalping to daily charts for swing trading. Markets: Can be applied to any market with sufficient liquidity (stocks, forex, crypto, etc.). Settings: UpLevel: The RSI level above which the market is considered bullish (default: 50). DownLevel: The RSI level below which the market is considered bearish (default: 50). SMA Length: The period of the Simple Moving Average used to filter trades (default: 50). Risk Management: Customizable stop loss and take profit settings based on price action (default: 3% above/below the entry price).
Pine Script®指标
由Tradewith_Riss提供
3
Machine Learning Moving Average [LuxAlgo]The Machine Learning Moving Average (MLMA) is a responsive moving average making use of the weighting function obtained Gaussian Process Regression method. Characteristic such as responsiveness and smoothness can be adjusted by the user from the settings. The moving average also includes bands, used to highlight possible reversals. 🔶 USAGE The Machine Learning Moving Average smooths out noisy variations from the price, directly estimating the underlying trend in the price. A higher "Window" setting will return a longer-term moving average while increasing the "Forecast" setting will affect the responsiveness and smoothness of the moving average, with higher positive values returning a more responsive moving average and negative values returning a smoother but less responsive moving average. Do note that an excessively high "Forecast" setting will result in overshoots, with the moving average having a poor fit with the price. The moving average color is determined according to the estimated trend direction based on the bands described below, shifting to blue (default) in an uptrend and fushia (default) in downtrends. The upper and lower extremities represent the range within which price movements likely fluctuate. Signals are generated when the price crosses above or below the band extremities, with turning points being highlighted by colored circles on the chart. 🔶 SETTINGS Window: Calculation period of the moving average. Higher values yield a smoother average, emphasizing long-term trends and filtering out short-term fluctuations. Forecast: Sets the projection horizon for Gaussian Process Regression. Higher values create a more responsive moving average but will result in more overshoots, potentially worsening the fit with the price. Negative values will result in a smoother moving average. Sigma: Controls the standard deviation of the Gaussian kernel, influencing weight distribution. Higher Sigma values return a longer-term moving average. Multiplicative Factor: Adjusts the upper and lower extremity bounds, with higher values widening the bands and lowering the amount of returned turning points. 🔶 RELATED SCRIPTS Machine-Learning-Gaussian-Process-Regression SuperTrend-AI-Clustering
Pine Script®指标
由LuxAlgo提供
20