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Market Bias [Mario]Indicator Description: Market Bias Core Objective and Philosophy The Market Bias indicator is designed not as a simple signal generator, but as a comprehensive tool for trend analysis and directional bias assessment. Its primary purpose is to provide traders with a clear, at-a-glance understanding of the market's direction across multiple timeframes. By visualizing the alignment of trends, it helps traders make more informed decisions, ensuring they are trading in harmony with the broader market momentum rather than against it. This is a tool for strategic positioning, not for providing blind buy or sell commands. How It Works: The Core Mechanic The indicator's logic is based on the relationship between two configurable moving averages (MAs): a Fast MA (defaulting to a 9-period EMA) and a Slow MA (defaulting to a 21-period SMA). The market bias on any given timeframe is determined as follows: Bullish Bias: When the Fast MA is trading above the Slow MA, it indicates positive, upward momentum. Bearish Bias: When the Fast MA is trading below the Slow MA, it indicates negative, downward momentum. Users have full control to customize the type (SMA, EMA, WMA, etc.) and length of each moving average to fit their specific trading style and the asset being analyzed. Key Feature: The Higher Timeframe (HTF) Bias Table This is the most powerful feature of the indicator and its main reason for existence. It displays a simple, color-coded table in the corner of the chart, showing the real-time bias for the Daily (D), 4-Hour (4H), and 1-Hour (1H) timeframes. Purpose: The HTF table solves a critical problem for traders: losing sight of the bigger picture. A trader on a 15-minute chart might see a setup to go long, but if the 4H and Daily charts are strongly bearish, that trade is fighting a powerful current and has a lower probability of success. Application: By checking this table, a trader can instantly verify if their intended trade direction is aligned with the higher timeframe trends. The ideal scenario is "confluence," where the bias is the same across all key timeframes (e.g., D, 4H, and 1H are all Bullish), giving the trader a strong conviction to only look for long entries. On-Chart Visual Aids To support the analysis on the current chart, the indicator provides several visual aids: Moving Average Plots: Both the Fast and Slow MAs are drawn directly on the chart, allowing traders to see their interaction with price in real-time. Color-Coded Bars: To make the current trend immediately obvious, the chart's price bars can be colored. Green bars signify a bullish bias (Fast > Slow), while red bars signify a bearish bias (Fast < Slow). Crossover Markers (Optional): While the indicator is not a signal provider, it can optionally display "Buy" (up arrow) and "Sell" (down arrow) markers when the MAs cross. These should not be interpreted as direct trade signals. Instead, they serve as alerts that the market momentum may be shifting on the current timeframe. They are best used as points of interest or for confirming a thesis that is already supported by the HTF bias. Summary In essence, the Market Bias indicator is a decision-support tool. It encourages a disciplined, top-down approach to trading. Use the HTF Table first to establish your strategic directional bias for the day or week. Use the on-chart MAs and colored bars to analyze the trend on your preferred trading timeframe. Use the optional crossover markers only as a final confirmation or timing tool, ensuring they align with the dominant bias established by the higher timeframes.
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MarioLeb tarafından
GC Checklist Signals (All TF, v6 • SR-safe • Clean blocks)GC (COMEX Gold) checklist strategy with a 3:1 reward-to-risk to your training bot. It enforces the following rules: Heiken Ashi chart logic for color, wicks, and doji detection 100-EMA filter (only buys above / sells below) Market structure: higher-low above EMA for buys; lower-high below EMA for sells (simple pivot check) Clean pullback: at least 2 opposite-color candles; clean = no top wicks (buys) / no bottom wicks (sells) Entry: on high-volume doji (body ≤ ~12% of range and volume ≥ last 1–3 candles), as soon as it closes Stops: sell = above doji high; buy = below doji low
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landondtaylor tarafından
Levels, EMS, Volume etc.This is a comprehensive trading indicator that combines three main analysis tools: EMA System — a set of 12 exponential moving averages with color trend indication. Consolidation — detects and highlights price accumulation zones with breakout alerts. S/R Levels — identifies key support and resistance levels across different timeframes, shows their strength, and displays them in a table. Additionally, it includes a volume histogram and a notification system for important chart events. All these features help traders analyze trends and identify potential entry and exit points. Это комплексный торговый индикатор, который объединяет три основных инструмента анализа: EMA-система — набор из 12 экспоненциальных скользящих средних с цветовой индикацией тренда. Консолидация — определяет и выделяет зоны накопления цены с оповещениями о пробоях. Уровни S/R — находит ключевые уровни поддержки и сопротивления на разных таймфреймах, показывает их силу и выводит в таблицу. Дополнительно включает гистограмму объёмов и систему уведомлений о важных событиях на графике. Всё это помогает трейдерам анализировать тренды, определять потенциальные точки входа и выхода.
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vslvnvch tarafından
black belt cloudThe EMA Cloud indicator highlights market trend direction by filling the space between multiple exponential moving averages with dynamic color-coded clouds. When the market is in a bullish alignment, the cloud turns green, signaling strong upward momentum. When the market shifts into a bearish alignment, the cloud turns red, warning of downside pressure. During periods of mixed or uncertain conditions, the cloud appears yellow to indicate potential consolidation or indecision. The indicator also includes alerts that trigger only on trend changes, helping traders react quickly when momentum shifts. This tool makes it easy to: Visualize trend strength at a glance Avoid choppy, sideways market conditions Combine with entry/exit strategies for improved decision-making
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jonborrows tarafından
Kalman Adjusted Average True Range [BackQuant]Kalman Adjusted Average True Range A volatility-aware trend baseline that fuses a Kalman price estimate with ATR “rails” to create a smooth, adaptive guide for entries, exits, and trailing risk. Built on my original Kalman This indicator is based on my original Kalman Price Filter: That core smoother is used here to estimate the “true” price path, then blended with ATR to control step size and react proportionally to market noise. What it plots Kalman ATR Line the main baseline that turns up/down with the filtered trend. Optional Moving Average of the Kalman ATR a secondary line for confluence (SMA/Hull/EMA/WMA/DEMA/RMA/LINREG/ALMA). Candle Coloring (optional) paint bars by the baseline’s current direction. Why combine Kalman + ATR? Kalman reduces measurement noise and produces a stable path without the lag of heavy MAs. ATR rails scale the baseline’s step to current volatility, so it’s calm in chop and more responsive in expansion. The result is a single, intelligible line you can trade around: slope-up = constructive; slope-down = caution. How it works (plain English) Each bar, the Kalman filter updates an internal state (tunable via Process Noise , Measurement Noise , and Filter Order ) to estimate the underlying price. An ATR band (Period × Factor) defines the allowed per-bar adjustment. The baseline cannot “jump” beyond those rails in one step. A direction flip is detected when the baseline’s slope changes sign (upturn/downturn), and alerts are provided for both. Typical uses Trend confirmation Trade in the baseline’s direction; avoid fading a firmly rising/falling line. Pullback timing Look for entries when price mean-reverts toward a rising baseline (or exits on tags of a falling one). Trailing risk Use the baseline as a dynamic guide; many traders set stops a small buffer beyond it (e.g., a fraction of ATR). Confluence Enable the MA overlay of the Kalman ATR; alignment (baseline above its MA and rising) supports continuation. Inputs & what they do Calculation Kalman Price Source which price the filter tracks (Close by default). Process Noise how quickly the filter can adapt. Higher = more responsive (but choppier). Measurement Noise how much you distrust raw price. Higher = smoother (but slower to turn). Filter Order (N) depth of the internal state array. Higher = slightly steadier behavior. Kalman ATR Period ATR lookback. Shorter = snappier; longer = steadier. Factor scales the allowed step per bar. Larger factors permit faster drift; smaller factors clamp movement. Confluence (optional) MA Type & Period compute an MA on the Kalman ATR line , not on price. Sigma (ALMA) if ALMA is selected, this input controls the curve’s shape. (Ignored for other MA types.) Visuals Plot Kalman ATR toggle the main line. Paint Candles color bars by up/down slope. Colors choose long/short hues. Signals & alerts Trend Up baseline turns upward (slope crosses above 0). Alert: “Kalman ATR Trend Up” Trend Down baseline turns downward (slope crosses below 0). Alert: “Kalman ATR Trend Down” These are state flips , not “price crossovers,” so you avoid many one-bar head-fakes. How to start (fast presets) Swing (daily/4H) ATR Period 7–14, Factor 0.5–0.8, Process Noise 0.02–0.05, Measurement Noise 2–4, N = 3–5. Intraday (5–15m) ATR Period 5–7, Factor 0.6–1.0, Process Noise 0.05–0.10, Measurement Noise 2–3, N = 3–5. Slow assets / FX raise Measurement Noise or ATR Period for calmer lines; drop Factor if the baseline feels too jumpy. Reading the line Rising & curving upward momentum building; consider long bias until a clear downturn. Flat & choppy regime uncertainty; many traders stand aside or tighten risk. Falling & accelerating distribution lower; short bias until a clean upturn. Practical playbook Continuation entries After a Trend Up alert, wait for a minor pullback toward the baseline; enter on evidence the line keeps rising. Exit/reduce If long and the baseline flattens then turns down, trim or exit; reverse logic for shorts. Filters Add a higher-timeframe check (e.g., only take longs when the daily Kalman ATR is rising). Stops Place stops just beyond the baseline (e.g., baseline − x% ATR for longs) to avoid “tag & reverse” noise. Notes This is a guide to state and momentum, not a guarantee. Combine with your process (structure, volume, time-of-day) for decisions. Settings are asset/timeframe dependent; start with the presets and nudge Process/Measurement Noise until the baseline “feels right” for your market. Summary Kalman ATR takes the noise-reduction of a Kalman price estimate and couples it with volatility-scaled movement to produce a clean, adaptive baseline. If you liked the original Kalman Price Filter (), this is its trend-trading cousin purpose-built for cleaner state flips, intuitive trailing, and confluence with your existing
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BackQuant tarafından
6
RSI Trend Navigator [QuantAlgo]🟢 Overview The RSI Trend Navigator integrates RSI momentum calculations with adaptive exponential moving averages and ATR-based volatility bands to generate trend-following signals. The indicator applies variable smoothing coefficients based on RSI readings and incorporates normalized momentum adjustments to position a trend line that responds to both price action and underlying momentum conditions. 🟢 How It Works The indicator begins by calculating and smoothing the RSI to reduce short-term fluctuations while preserving momentum information: rsiValue = ta.rsi(source, rsiPeriod) smoothedRSI = ta.ema(rsiValue, rsiSmoothing) normalizedRSI = (smoothedRSI - 50) / 50 It then creates an adaptive smoothing coefficient that varies based on RSI positioning relative to the midpoint: adaptiveAlpha = smoothedRSI > 50 ? 2.0 / (trendPeriod * 0.5 + 1) : 2.0 / (trendPeriod * 1.5 + 1) This coefficient drives an adaptive trend calculation that responds more quickly when RSI indicates bullish momentum and more slowly during bearish conditions: var float adaptiveTrend = source adaptiveTrend := adaptiveAlpha * source + (1 - adaptiveAlpha) * nz(adaptiveTrend , source) The normalized RSI values are converted into price-based adjustments using ATR for volatility scaling: rsiAdjustment = normalizedRSI * ta.atr(14) * sensitivity rsiTrendValue = adaptiveTrend + rsiAdjustment ATR-based bands are constructed around this RSI-adjusted trend value to create dynamic boundaries that constrain trend line positioning: atr = ta.atr(atrPeriod) deviation = atr * atrMultiplier upperBound = rsiTrendValue + deviation lowerBound = rsiTrendValue - deviation The trend line positioning uses these band constraints to determine its final value: if upperBound < trendLine trendLine := upperBound if lowerBound > trendLine trendLine := lowerBound Signal generation occurs through directional comparison of the trend line against its previous value to establish bullish and bearish states: trendUp = trendLine > trendLine trendDown = trendLine < trendLine if trendUp isBullish := true isBearish := false else if trendDown isBullish := false isBearish := true The final output colors the trend line green during bullish states and red during bearish states, creating visual buy/long and sell/short opportunity signals based on the combined RSI momentum and volatility-adjusted trend positioning. 🟢 Signal Interpretation Rising Trend Line (Green): Indicates upward momentum where RSI influence and adaptive smoothing favor continued price advancement = Potential buy/long positions Declining Trend Line (Red): Indicates downward momentum where RSI influence and adaptive smoothing favor continued price decline = Potential sell/short positions Flattening Trend Lines: Occur when momentum weakens and the trend line slope approaches neutral, suggesting potential consolidation before the next move Built-in Alert System: Automated notifications trigger when bullish or bearish states change, sending "RSI Trend Bullish Signal" or "RSI Trend Bearish Signal" messages for timely entry/exit Color Bar Candles Option: Optional candle coloring feature that applies the same green/red trend colors to price bars, providing additional visual confirmation of the current trend direction
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QuantAlgo tarafından
8
Black Belt cloudThe EMA Cloud indicator highlights market trend direction by filling the space between multiple exponential moving averages with dynamic color-coded clouds. When the market is in a bullish alignment, the cloud turns green, signaling strong upward momentum. When the market shifts into a bearish alignment, the cloud turns red, warning of downside pressure. During periods of mixed or uncertain conditions, the cloud appears gray to indicate potential consolidation or indecision. The indicator also includes alerts that trigger only on trend changes, helping traders react quickly when momentum shifts. This tool makes it easy to: Visualize trend strength at a glance Avoid choppy, sideways market conditions Combine with entry/exit strategies for improved decision-making
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jonborrows tarafından
Triple-EMA Cloud (3× configurable EMAs + timeframe + fill)About This Script Name: Triple-EMA Cloud (3× configurable EMAs + timeframe + fill) What it does: The script plots three Exponential Moving Averages (EMAs) on your chart. You can set each EMA’s length (how many bars or days it averages over), source (for example, closing price, opening price, or the midpoint of high + low), and timeframe (you can have one EMA use daily data, another hourly data, etc.). The indicator draws a “cloud” or channel by shading the area between the outermost two EMAs of the three. This lets you see a band or zone that the price is moving in, defined by those EMAs. You also get full control over how each of the three EMA‐lines looks: color, thickness, transparency, and plot style (solid line, steps, circles, etc.). How to Use It (for Beginners) Here’s how a trader who’s new to charts can use this tool, especially when looking for pullbacks or undercut price action. Key Concepts Trend: Imagine the market price is generally going up or down. EMAs are a way to smooth out price movements so you can see the trend more clearly. Pullback: When a price has been going up (an uptrend), sometimes it dips down a little before going up again. That dip is the pullback. It’s a chance to enter or add to a position at a “better price.” Undercut: This is when price drops below an important level (for example an EMA) and then comes back up. It looks like it broke below, but then it recovers. That may show reverse pressure or strength building. How the Script Helps With Pullbacks & Undercuts Marking Trend Zones with the Cloud The cloud between the outer EMA lines gives you a zone of expected support/resistance. If the price is above the cloud, that zone can act like a “floor” in uptrends; if it is below, the cloud might act like a “ceiling” in downtrends. Watching Price vs the EMAs If the price pulls back toward the cloud (or toward one of the EMAs) and then bounces back up, that’s a signal that the uptrend might continue. If the price undercuts (goes a bit below) one of the EMAs or the cloud and then returns above it, that can also be a signal. It suggests that even though there was a temporary drop, buyers stepped in. Using the Three EMAs for Confirmation Because the script uses three EMAs, you can see how tightly or loosely they are spaced. If all three EMAs are broadly aligned (for example, in an uptrend: shorter length above longer length, each pulling from reliable price source), that gives more confidence in trend strength. If the middle EMA (or different source/timeframe) is holding up as support while others are above, it strengthens signal. Entry & Exit Points Entry: For example, after a pullback toward the cloud or “mid‐EMA”, wait for price to show a bounce up. That could be a better entry than buying at the top. Stop Loss / Risk: You might place a stop loss just below the cloud or the lowest of your selected EMAs so that if price breaks through, the idea is invalidated. Profit Target: Could be a recent high, resistance level, or a fixed reward-risk multiple (for example aiming to make twice what you risked). Practical Steps for New Traders Set up the EMAs Choose simple lengths like 10, 21, 50. For example, EMA #1 = length 10, source Close, timeframe “current chart”; EMA #2 = length 21, source (H+L)/2; EMA #3 = length 50, maybe timeframe daily. Observe the Price Action When price moves up, then dips, see if it comes back near the shaded cloud or one of the EMAs. See if the dip touches the EMAs lightly (not a big drop) and then price starts climbing again. Look for undercuts If price briefly goes below a line (or below cloud) and then closes back above, that’s undercut + recovery. That bounce back is often meaningful. Manage risk Only put in money you can afford to lose. Use small position size until you get comfortable. Use stop-loss (as mentioned) in case the price doesn’t bounce as expected. Practice Put this indicator on charts (stocks you follow) in past time periods. See how price behaved with pullbacks / undercuts relative to the EMAs & cloud. This helps you learn to see signals. What It Doesn’t Do (and What to Be Careful Of) It doesn’t predict the future — it simply shows zones and trends. Price can still break down through the cloud. In a “choppy” market (i.e. when price is going up and down without a clear trend), signals from EMAs / clouds are less reliable. You’ll get more “false bounces.” Under / overshoots & big news events can break through clean levels, so always watch for confirmation (volume, price behavior) before putting big money in.
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Blk0ut tarafından
Guppy MMA [Alpha Extract]A sophisticated trend-following and momentum assessment system that constructs dynamic trader and investor sentiment channels using multiple moving average groups with advanced scoring mechanisms and smoothed CCI-style visualizations for optimal market trend analysis. Utilizing enhanced dual-group methodology with threshold-based trend detection, this indicator delivers institutional-grade GMMA analysis that adapts to varying market conditions while providing high-probability entry and exit signals through crossover and extreme value detection with comprehensive visual mapping and alert integration. 🔶 Advanced Channel Construction Implements dual-group architecture using short-term and long-term moving averages as foundation points, applying customizable MA types to reduce noise and score-based averaging for sentiment-responsive trend channels. The system creates trader channels from shorter periods and investor channels from longer periods with configurable periods for optimal market reaction zones. // Core Channel Calculation Framework maType = input.string("EMA", title="Moving Average Type", options= ) // Short-Term Group Construction stMA1 = ma(close, st1, maType) stMA2 = ma(close, st2, maType) // Long-Term Group Construction ltMA1 = ma(close, lt1, maType) ltMA2 = ma(close, lt2, maType) // Smoothing Application smoothedavg = ma(overallAvg, 10, maType) 🔶 Volatility-Adaptive Zone Framework Features dynamic score-based averaging that expands sentiment signals during strong trend periods and contracts during consolidation phases, preventing false signals while maintaining sensitivity to genuine momentum shifts. The dual-group averaging system optimizes zone boundaries for realistic market behavior patterns. // Dynamic Sentiment Adjustment shortTermAvg = (stScore1 + stScore2 + ... + stScore11) / 11 longTermAvg = (ltScore1 + ltScore2 + ... + ltScore11) / 11 // Dual-Group Zone Optimization overallAvg = (shortTermAvg + longTermAvg) / 2 allMAAvg = (shortTermAvg * 11 + longTermAvg * 11) / 22 🔶 Step-Like Boundary Evolution Creates threshold-based trend boundaries that update on smoothed average changes, providing visual history of evolving bullish and bearish levels with performance-optimized threshold management limited to key zones for clean chart presentation and efficient processing. 🔶 Comprehensive Signal Detection Generates buy and sell signals through sophisticated crossover analysis, monitoring smoothed average interaction with zero-line and thresholds for high-probability entry and exit identification. The system distinguishes between trend continuation and reversal patterns with precision timing. 🔶 Enhanced Visual Architecture Provides translucent zone fills with gradient intensity scaling, threshold-based historical boundaries, and dynamic background highlighting that activates upon trend changes. The visual system uses institutional color coding with green bullish zones and red bearish zones for intuitive market structure interpretation. 🔶 Intelligent Zone Management Implements automatic trend relevance filtering, displaying signals only when smoothed average proximity warrants analysis attention. The system maintains optimal performance through smart averaging management and historical level tracking with configurable MA periods for various market conditions. 🔶 Multi-Dimensional Analysis Framework Combines trend continuation analysis through threshold crossovers with momentum detection via extreme markers, providing comprehensive market structure assessment suitable for both trending and ranging market conditions with score-normalized accuracy. 🔶 Advanced Alert Integration Features comprehensive notification system covering buy signals, sell signals, strong bull conditions, and strong bear conditions with customizable alert conditions. The system enables precise position management through real-time notifications of critical sentiment interaction events and zone boundary violations. 🔶 Performance Optimization Utilizes efficient MA smoothing algorithms with configurable types for noise reduction while maintaining responsiveness to genuine market structure changes. The system includes automatic visual level cleanup and performance-optimized visual rendering for smooth operation across all timeframes. This indicator delivers sophisticated GMMA-based market analysis through score-adaptive averaging calculations and intelligent group construction methodology. By combining dynamic trader and investor sentiment detection with advanced signal generation and comprehensive visual mapping, it provides institutional-grade trend analysis suitable for cryptocurrency, forex, and equity markets. The system's ability to adapt to varying market conditions while maintaining signal accuracy makes it essential for traders seeking systematic approaches to trend trading, momentum reversals, and sentiment continuation analysis with clearly defined risk parameters and comprehensive alert integration.
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AlphaExtract tarafından
2
CyberFX EMA21 Strategy (Pine v5)This is a simple indicator that can be used for a simple strategy. It follows the logic of the price always move back to the media, in that case an EMA(21). This give us an opportunity to achieve a better R/R. One important thing here is this indicator works better on trend markets. When the market is in consolidation mode it will show many signals so we need to pay attention and be patient. This indicator works better in 4H timeframes but it can used with other TFs. The idea behind is: for a bullish move when the price moves back to the EMA(21) we check the distance between the low value and the EMA(21) value. The best is when the price low crosses the EMA(21) from above. I am considering a 8 pips distance from the price low to the ema as a signal. Then I will wait for the new candle to move above the EMA(21) for a long entry. I also consider at least 50 pips for SL. for a bearish move the idea is the same but we consider the price high crossing the EMA(21) and the new candle moving below the EMA. I hope this can be useful and please leave your comment nad critics(but only the constructive one). Have a safe trade
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cyberFX2019 tarafından
Turtle Trading with LayeringCrafted professional write-up for TradingView indicator publication. Turtle Trading with Layering System A complete implementation of the famous turtle trading strategy with proper position layering/pyramiding for manual trading. Features Core Turtle System: 20-day breakout entries (primary signals) 55-day breakout entries (backup after losses) 10-day reverse breakout exits ATR-based stop losses and position sizing Position Layering: Build positions gradually as trends develop Add up to 4 units per position Each unit added every 0.5 ATR in your favor Single stop loss protects entire position
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Sakett_Guptaa tarafından
HUll Dynamic BandEducational Hull Moving Average Wave Analysis Tool **MARS** is an innovative educational indicator that combines multiple Hull Moving Average timeframes to create a comprehensive wave analysis system, similar in concept to Ichimoku Cloud but with enhanced smoothness and responsiveness. --- 🎯 Key Features **Triple Wave System** - **Peak Wave (34-period)**: Fast momentum signals, similar to Ichimoku's Conversion Line - **Primary Wave (89-period)**: Main trend identification with retest detection - **Swell Wave (178-period)**: Long-term trend context and major wave analysis **Visual Wave Analysis** - **Wave Power Fill**: Dynamic area between primary and swell waves showing trend strength - **Peak Power Fill**: Short-term momentum visualization - **Smooth Curves**: Hull MA-based calculations provide cleaner signals than traditional moving averages **Intelligent Signal System** - **Trend Shift Signals**: Clear visual markers when trend changes occur - **Retest Detection**: Identifies potential retest opportunities with specific conditions - **Correction Alerts**: Early warning signals for market corrections --- 📊 How It Works The indicator uses **Hull Moving Averages** with **Fibonacci-based periods** (34, 89, 178) and a **Golden Ratio multiplier (1.64)** to create natural market rhythm analysis. **Key Signal Types:** - 🔵 **Circles**: Major trend shifts (primary wave crossovers) - 💎 **Diamonds**: Retest opportunities with multi-wave confirmation - ❌ **X-marks**: Correction signals and structural breaks - 🌊 **Wave Fills**: Visual trend strength and direction --- 🎓 Educational Purpose This indicator demonstrates: - Advanced moving average techniques using Hull MA - Multi-timeframe analysis in a single view - Wave theory application in technical analysis - Dynamic support/resistance concept visualization **Similar to Ichimoku but Different:** - Ichimoku uses price-based calculations → Angular cloud shapes - MARS uses weighted averages → Smooth, flowing wave patterns - Both identify trend direction, but MARS offers faster signals with cleaner visualization --- ⚙️ Customizable Settings - **Wave Periods**: Adjust primary wave length (default: 89) - **Multipliers**: Fine-tune wave sensitivity (default: 1.64 Golden Ratio) - **Visual Style**: Customize line widths and signal displays - **Peak Analysis**: Independent fast signal system (default: 34) --- 🔍 Usage Tips 1. **Trend Identification**: Watch wave fill colors and line positions 2. **Entry Timing**: Look for retest diamonds after trend shift circles 3. **Risk Management**: Use wave boundaries as dynamic support/resistance 4. **Confirmation**: Combine with price action and market structure analysis --- ⚠️ Important Notes - **Educational Tool**: Designed for learning wave analysis concepts - **Not Financial Advice**: Always use proper risk management - **Backtesting Recommended**: Test on historical data before live trading - **Combine with Analysis**: Works best with additional confirmation methods --- 🚀 Innovation MARS represents a unique approach to wave analysis by: - Combining Hull MA smoothness with Ichimoku-style visualization - Providing multi-timeframe analysis without chart clutter - Offering retest detection with specific wave conditions - Creating an educational bridge between different analytical methods --- *This indicator is shared for educational purposes to help traders understand advanced moving average techniques and wave analysis concepts. Always practice proper risk management and combine with your own analysis.*
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RUpward tarafından
Moving Average Signals : Support ResistanceThis indicator plots a Simple Moving Average (default 50-period, adjustable) and highlights potential bounce or rejection signals when price interacts with the SMA. It is designed to identify moments when price tests the moving average from one side and then continues in the prior direction, signaling a possible continuation trade. 🔴 Red Triangle (Bearish Rejection) A red triangle is plotted above the bar when: Price has been trading below the SMA. Price tests the SMA from below (the high touches or pierces the SMA but closes back below it). Price then continues lower on the next bar. This suggests the SMA acted as resistance and the downtrend may resume. 🟢 Green Triangle (Bullish Rejection) A green triangle is plotted below the bar when: Price has been trading above the SMA. Price tests the SMA from above (the low touches or pierces the SMA but closes back above it). Price then continues higher on the next bar. This suggests the SMA acted as support and the uptrend may resume. ⚡ HOW TO USE IN TRADING Trend Confirmation Use this indicator in trending markets (not choppy ranges). A rising SMA suggests bullish trend bias; a falling SMA suggests bearish trend bias. Signal Entry Green Triangle: Consider long entries when the SMA supports price and a bullish continuation is signaled. Red Triangle: Consider short entries when the SMA rejects price and a bearish continuation is signaled. Stop-Loss Placement Place stops just beyond the SMA or the rejection candle’s high/low. Example: For a red signal, stop above the SMA or rejection candle’s high. Take-Profit Ideas Target prior swing highs/lows or use risk/reward multiples (e.g., 2R, 3R). You can also trail stops behind the SMA in a strong trend. Filters for Higher Accuracy (optional) Confirm signals with volume, momentum indicators (e.g., RSI, MACD), or higher-timeframe trend. Avoid trading signals against strong higher-timeframe bias.
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ozzy_livin tarafından
Trend Analyzer v0.6Trend Analyzer EMA Only v0.6 Simple yet powerful EMA trend analysis with multi-timeframe support! Overview: This comprehensive indicator focuses on EMA-based trend analysis with clean visual presentation. It provides clear BUY/SELL signals, trend tracking with unique IDs, peak detection, and multi-timeframe analysis across M15, M30, and H1 timeframes. Key Features: ✅ EMA Trend Analysis - Fast and Slow EMA crossover signals ✅ Trend Tracking - Unique trend IDs with start/end markers ✅ Peak Detection - Automatic peak identification during trends ✅ Multi-Timeframe - Analysis across M15, M30, and H1 timeframes ✅ Visual Clarity - Dotted lines connecting labels to candles ✅ Statistics - BUY/SELL count and average trend length How It Works: The indicator calculates signal strength using weighted analysis: • MACD (50%) - Primary trend momentum • RSI (30%) - Overbought/oversold conditions • Volume (20%) - Volume confirmation Signal Logic: • BUY - Fast EMA crosses above Slow EMA + both slopes positive • SELL - Fast EMA crosses below Slow EMA + both slopes negative • NEUTRAL - EMAs too close (below threshold) Visual Elements: • 🟢 BUY - Green label with trend ID • 🔴 SELL - Red label with trend ID • ⚪ NEUTRAL - Gray label with trend ID • 🟡 PEAK - Yellow label marking trend extremes • ⚫ END - Gray label marking trend end Information Table: Real-time display showing: • Current Timeframe trend state • Multi-Timeframe analysis (M15, M30, H1) • PEAK Labels status • Offset Type configuration • Trend Strength percentage • Statistics (BUY/SELL count, average trend length) Settings: • Fast EMA Length - 9 (default) • Slow EMA Length - 21 (default) • Min Trend Bars - 3 (filters short trends) • Label Offset Type - ATR, % of price, or Dynamic • Show PEAK Labels - On/Off toggle Best Practices: 🎯 Works best in trending markets 📊 Use as overlay on main chart ⚡ Combine with price action analysis 🛡️ Always use proper risk management Pro Tips: • Green background = Strong uptrend, Red background = Strong downtrend • Watch for trend change arrows for early reversal signals • Use the information table for quick market assessment • Monitor trend statistics for market behavior insights Alerts: • BUY Alert - "BUY signal detected" • SELL Alert - "SELL signal detected" Version 0.6 Improvements: • Optimized performance • Enhanced visual clarity • Improved multi-timeframe analysis • Refined trend detection algorithms Created with ❤️ for the trading community This indicator is free to use for both commercial and non-commercial purposes.
Pine Script® göstergesi
panzmoravy tarafından
LSMAsThis indicator consists of three lines. The main line (LSMA-A) is the least squares moving average (LSMA). The second line (SMMA) is the smoothed moving average of the LSMA-A. When the SMMA crosses the LSMA-A below, it generates a BUY signal, while when it crosses the LSMA-A above, it is considered a SELL signal. Furthermore, an uptrend is considered if the SMMA line is below, or a downtrend if it is above. Along these trend lines, the third line, LSMA-B (another shorter-period least squares moving average) is used to identify peaks and bottoms. This allows for wave analysis. For optimization, adjusting the shorter period to market conditions is sufficient.
Pine Script® göstergesi
oberez tarafından
EMA 200 MultiTF G/R + Cross Alerts by LifeHack Trader1. Indicator Setup The script starts by defining the version of Pine Script (v5) and creating an indicator called "EMA 200 MultiTF G/R + Cross Alerts by LifeHack Trader." The overlay=true parameter ensures that the indicator is plotted directly on the price chart. 2. Function to Get EMA200 A custom function getEma200 is defined to retrieve the 200-period Exponential Moving Average (EMA) for a specified timeframe (tf). This function uses the request.security function to fetch the close price's EMA from different timeframes. 3. Calculate EMA200 for Multiple Timeframes The script calculates the EMA200 for four timeframes: 15 minutes ("15"), 1 hour ("60"), 4 hours ("240"), and 1 day ("D"). These values are stored in variables (ema15, ema1h, ema4h, ema1d) and represent the EMA for each timeframe. 4. Determine Price Above or Below EMA200 (G/R) For each timeframe, the script checks whether the closing price is above or below the EMA200. It uses boolean checks to determine if the price is above the EMA200, assigning the status "G" (Green) for above and "R" (Red) for below. 5. Cross Signal Detection (Up/Down) The script detects crossovers and crossunders between the price and EMA200 for each timeframe. A crossover signal is detected when the price crosses above the EMA200 (bullish), and a crossunder signal is detected when the price crosses below the EMA200 (bearish). These signals are stored in separate variables (crossUp, crossDown). 6. Display a Table with G/R Status and Cross Alerts A table is created and displayed in the top-right corner of the chart. The table shows the status (G or R) for each timeframe and the cross signal (▲ for crossover, ▼ for crossunder, or - for no cross event). The table is updated with the respective values for each timeframe every time a new bar is formed. 7. Alert Conditions The script defines alert conditions based on the crossovers and crossunders. When a price crosses above the EMA200 (cross-up), an alert is triggered for a potential buy opportunity. When the price crosses below the EMA200 (cross-down), an alert is triggered for a potential sell opportunity. Alerts are configured for each timeframe (15 minutes, 1 hour, 4 hours, and 1 day). This script provides a comprehensive system for monitoring price action relative to the EMA200 on multiple timeframes, highlighting crossovers, and delivering visual feedback and alerts based on the price's relationship with the EMA.
Pine Script® göstergesi
seono1 tarafından