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Bands and Channels

Multiple EMAscombined Indicator EMA, Yesterday High low. super trend, BB. combined Indicator EMA, Yesterday High low. super trend, BB. combined Indicator EMA, Yesterday High low. super trend, BB. combined Indicator EMA, Yesterday High low. super trend, BB. combined Indicator EMA, Yesterday High low. super trend, BB. combined Indicator EMA, Yesterday High low. super trend, BB. combined Indicator EMA, Yesterday High low. super trend, BB. combined Indicator EMA, Yesterday High low. super trend, BB. combined Indicator EMA, Yesterday High low. super trend, BB.
Pine Script® indicator
by Teril
Multiple EMAscombined Indicator EMA, Yesterday High low. super trend, BB. combined Indicator EMA, Yesterday High low. super trend, BB. combined Indicator EMA, Yesterday High low. super trend, BB. combined Indicator EMA, Yesterday High low. super trend, BB. combined Indicator EMA, Yesterday High low. super trend, BB. combined Indicator EMA, Yesterday High low. super trend, BB. combined Indicator EMA, Yesterday High low. super trend, BB. combined Indicator EMA, Yesterday High low. super trend, BB. combined Indicator EMA, Yesterday High low. super trend, BB.
Pine Script® indicator
by xander624
Ichimoku Cloud Breakout Only LongThis is a very simple trading strategy based exclusively on the Ichimoku Cloud. There are no additional indicators or complex rules involved. The key condition is that we only open long positions when the price is clearly above the cloud — indicating a bullish trend. For optimal results, the recommended timeframes are 1D (daily) or 1W (weekly) charts. These higher timeframes help filter out market noise and provide more reliable trend signals. We do not short the market under any circumstances. The focus is purely on riding upward momentum when the price breaks out or stays above the cloud. This strategy works best when applied to growth stocks with strong upward trends and good fundamentals — such as Google (GOOGL), Tesla (TSLA), Apple (AAPL), or NVIDIA (NVDA).
Pine Script® strategy
by wilusss
EMA(120,200)Indicator: EMA(120,200) for Bitcoin Pullback Strategy Description: This indicator plots two Exponential Moving Averages (EMAs) on the Bitcoin price chart: EMA 120 (short-term trend) EMA 200 (long-term trend) The purpose is to identify potential buying opportunities ("go long") when Bitcoin's price pulls back to the "channel" between EMA 120 and EMA 200. Key Features: EMA Calculation: ema120 = ta.ema(close, 120) → 120-period EMA (faster, reacts to recent price). ema200 = ta.ema(close, 200) → 200-period EMA (slower, broader trend). Visualization: Both EMAs are plotted as white lines (color=#ffffff) with a thickness of 2. Trading Logic (Implied): When Bitcoin's price retraces (pulls back) to the zone between EMA 120 and EMA 200, traders may consider entering long positions, assuming the overall uptrend remains intact. This strategy leverages the idea that EMAs act as dynamic support levels during uptrends. How to Use It: Uptrend Confirmation: Ensure EMA 120 is above EMA 200 (bullish alignment). Pullback Entry: Wait for the price to dip near the EMA 120-200 channel.
Pine Script® indicator
by brotherjay
RDBRB Strategy with Filters + Cooldowns + LabelsRDBRB Strategy with Filters + Cooldowns This script implements the RDBRB (Rally-Drop-Base-Retest-Breakout) strategy, a classic price action setup designed to identify structured trade opportunities using volume, volatility bands, and trend alignment. It’s ideal for traders looking for clean, rule-based entries across any timeframe. 🧠 Core Components Rally & Drop Detection Identifies short-term momentum shifts using moving average crossovers: ✅ Ra = Rally (bullish crossover) 🔻 Dr = Drop (bearish crossunder) Base Formation A statistical base is defined using a moving average with a standard deviation envelope (Upper/Lower BB). This forms the foundation for breakout or retest setups. Retest Zone (RT) When price returns to the lower band (but stays below the base), it suggests a potential re-accumulation or reaction zone before a breakout. Breakout Confirmation (BO) A breakout is validated when: Price crosses above the upper band Volume exceeds the 20-bar average by a threshold multiplier RSI is above a bullish momentum level Price is trending above the longer-term EMA ⏱️ Smart Cooldown Logic Each signal (Rally, Drop, Retest, Breakout) has an independent cooldown timer to prevent multiple triggers within a short range, filtering out noise and duplicate signals: Customizable cooldown periods via input settings Ensures signals are meaningful and not clustered 💡 Visual Markers All signals are shown as small, color-coded labels: Ra : Green label below bar Dr : Red label above bar RT : Yellow label below bar BO : Green breakout label below bar Bands and base are plotted for structure reference. 🛠️ Customizable Settings Cooldown periods for each signal type MA lengths, volume and RSI thresholds Trend filter and base calculation inputs This script is ideal for price action traders who want a clean, structured method to trade consolidations and trend continuations while avoiding over-signaling. Use it on any timeframe and combine with higher-timeframe confirmation for best results.
Pine Script® indicator
by Boron555
Extended Hours Session Range Position (0-100) with EMAA Pine Script indicator designed to measure the relative position of the current price within the high-low range of an extended and regular trading session (4:00 AM to 8:00 PM ET) and smooth this position with an Exponential Moving Average (EMA). Session Range Position (0-100): The indicator calculates the price’s position within the session’s high-low range, normalized to a 0–100 scale: 0: Price is at the session low. 100: Price is at the session high. 50: Price is at the midpoint of the session range. This provides a standardized way to assess whether the price is near the top, bottom, or middle of the session’s range, regardless of the absolute price or range size. Smoothed EMA: The EMA (default length 10) smooths the raw position value to reduce noise and highlight trends in the price’s relative position. A rising EMA suggests the price is moving toward the session high, while a falling EMA indicates movement toward the session low. Key Levels: 50 (Midpoint): Represents the middle of the session range. Crosses above/below this level can signal shifts in momentum. 30 (Oversold) and 70 (Overbought): These thresholds suggest the price is in extreme zones relative to the session range, potentially indicating overextension. 0 and 100: Represent the session low and high, respectively. Divergence Signals: Background colors highlight crossovers (green) and crossunders (red) between the position and its EMA, indicating potential momentum shifts or reversals. Trend Identification: Use the position and EMA to gauge the price’s trend within the session: Position > 50 and rising EMA: Bullish bias (price moving toward session high). Position < 50 and falling EMA: Bearish bias (price moving toward session low). Combine with other indicators (e.g., RSI, MACD) to confirm trends. Reversal Signals: Look for crossovers/crossunders between the position and EMA: Crossover (Position > EMA): Potential bullish reversal or strengthening momentum. Crossunder (Position < EMA): Potential bearish reversal or weakening momentum. Pay attention to the 30 (oversold) and 70 (overbought) levels for mean-reversion opportunities, especially if the position diverges from the EMA. Range Trading: In range-bound markets, use the 30 and 70 levels to identify potential buy (near 30) and sell (near 70) zones. Confirm with price action (e.g., candlestick patterns) or volume to avoid false signals. Breakout Trading: A position approaching 100 or 0 may indicate a breakout if accompanied by high volume or a catalyst (e.g., news during extended hours). Use the session range (displayed in the table) to assess the significance of the breakout. The Extended Hours Session Range Position (0-100) with EMA indicator is a useful tool for traders active in extended-hours sessions, offering a normalized view of price position and smoothed trend signals. It excels in providing contextual analysis and visual clarity, with alerts and divergence detection adding practical value.
Pine Script® indicator
by thericetrader
RESHAIndicator Name: RESHA – Static Price Levels Description: The RESHA indicator is a simple tool that allows traders to manually define multiple horizontal price levels on the chart. These levels are displayed as horizontal lines, each extending a customizable number of candles forward. Traders can input a comma-separated list of prices, which are then plotted automatically on the chart. Features: 📍 Custom input box for price levels (comma-separated). 📏 Adjustable line length in bars. Visual price labels at the end of each level. Clean and minimalistic design, perfect for support/resistance zones or static analysis. This tool is ideal for traders who want to keep key price zones visible at all times without relying on dynamic calculations or automated indicators.
Pine Script® indicator
by iqfxl
1
Dynamic Volatility EnvelopeDynamic Volatility Envelope: Indicator Overview The Dynamic Volatility Envelope is an advanced, multi-faceted technical indicator designed to provide a comprehensive view of market trends, volatility, and potential future price movements. It centers around a customizable linear regression line, enveloped by dynamically adjusting volatility bands. The indicator offers rich visual feedback through gradient coloring, candle heatmaps, a background volatility pulse, and an on-chart trend strength meter. Core Calculation Mechanism Linear Regression Core : -A central linear regression line is calculated based on a user-defined source (e.g., close, hl2) and lookback period. -The regression line can be optionally smoothed using an Exponential Moving Average (EMA) to reduce noise. -The slope of this regression line is continuously calculated to determine the current trend direction and strength. Volatility Channel : -Dynamic bands are plotted above and below a central basis line. This basis is typically the calculated regression line but shifts to an EMA in Keltner mode. -The width of these bands is determined by market volatility, using one of three user-selectable modes: ATR Mode : Bandwidth is a multiple of the Average True Range (ATR). Standard Deviation Mode : Bandwidth is a multiple of the Standard Deviation of the source data. Keltner Mode (EMA-based ATR) : ATR-based bands are plotted around a central Keltner EMA line, offering a smoother channel. The channel helps identify dynamic support and resistance levels and assess market volatility. Future Projection : The indicator can project the current regression line and its associated volatility bands into the future for a user-defined number of bars. This provides a visual guide for potential future price pathways based on current trend and volatility characteristics. Candle Heatmap Coloring : -Candle bodies and/or wicks/borders can be colored based on the price's position within the upper and lower volatility bands. -Colors transition in a gradient from bearish (when price is near the lower band) through neutral (mid-channel) to bullish (when price is near the upper band), providing an intuitive visual cue of price action relative to the dynamic envelope. Background Volatility Pulse : The chart background color can be set to dynamically shift based on a ratio of short-term to long-term ATR. This creates a "pulse" effect, where the background subtly changes color to indicate rising or falling market volatility. Trend Strength Meter : An on-chart text label displays the current trend status (e.g., "Strong Bullish", "Neutral", "Bearish") based on the calculated slope of the regression line relative to user-defined thresholds for normal and strong trends. Key Features & Components -Dynamic Linear Regression Line: Core trend indicator with optional smoothing and slope-based gradient coloring. -Multi-Mode Volatility Channel: Choose between ATR, Standard Deviation, or Keltner (EMA-based ATR) calculations for band width. -Customizable Vertical Gradient Channel Fills: Visually distinct fills for upper and lower channel segments with user-defined top/bottom colors and gradient spread. -Future Projection: Extrapolates regression line and volatility bands to forecast potential price paths. -Price-Action Based Candle Heatmap: Intuitive candle coloring based on position within the volatility channel, with adjustable gradient midpoint. -Volatility-Reactive Background Gradient: Subtle background color shifts to reflect changes in market volatility. -On-Chart Trend Strength Meter: Clear textual display of current trend direction and strength. -Extensive Visual Customization: Fine-tune colors, line styles, widths, and gradient aggressiveness for most visual elements. -Comprehensive Tooltips: Detailed explanations for every input setting, ensuring ease of use and understanding. Visual Elements Explained Regression Line : The primary trend line. Its color dynamically changes (e.g., green for uptrend, red-pink for downtrend, neutral for flat) based on its slope, with smooth gradient transitions. Volatility Channel : Upper & Lower Bands : These lines form the outer boundaries of the envelope, acting as dynamic support and resistance levels. Channel Fill : The area between the band center and the outer bands is filled with a vertical gradient. For example, the upper band fill might transition from a darker green near the center to a lighter green at the upper band. Band Borders : The lines outlining the upper and lower bands, with customizable color and width. Future Projection Lines & Fill : Projected Regression Line : An extension of the current regression line into the future, typically styled differently (e.g., dashed). Projected Channel Bands : Extensions of the upper and lower volatility bands. Projected Area Fill : A semi-transparent fill between the projected upper and lower bands. Candle Heatmap Coloring : When enabled, candles are colored based on their closing price's relative position within the channel. Bullish colors appear when price is in the upper part of the channel, bearish in the lower, and neutral in the middle. Users can choose to color the entire candle body or just the wicks and borders. Background Volatility Pulse : The chart's background color subtly shifts (e.g., between a calm green and an agitated red-pink) to reflect the current volatility regime. Trend Strength Meter : A text label (e.g., "TREND: STRONG BULLISH") positioned on the chart, providing an at-a-glance summary of the trend. Configuration Options Users can tailor the indicator extensively via the settings panel, with options logically grouped: Core Analysis Engine : Adjust regression source data, lookback period, and EMA smoothing for the regression line. Regression Line Visuals : Control visibility, line width, trend-based colors (uptrend, downtrend, flat), slope thresholds for trend definition, strong slope multiplier (for Trend Meter), and color gradient sharpness. Volatility Channel Configuration : Select band calculation mode (ATR, StdDev, Keltner), set relevant periods and multipliers. Customize colors for vertical gradient fills (upper/lower, top/bottom), border line colors, widths, and the gradient spread factor for fills. Future Projection Configuration : Toggle visibility, set projection length (number of bars), line style, and colors for projected regression and band areas. Appearance & Candle Theme : Set default bull/bear candle colors, enable/disable candle heatmap, choose if body color matches heatmap, and configure heatmap gradient target colors (bull, neutral, bear) and the gradient's midpoint. Background Volatility Pulse : Enable/disable the background effect and configure short/long ATR periods for the volatility calculation. Trend Strength Meter : Enable/disable the meter, and choose its on-chart position and text size. Interpretation Notes -The Regression Line is the primary indicator of trend direction. Its slope and color provide immediate insight. -The Volatility Bands serve as dynamic support and resistance zones. Price approaching or touching these bands may indicate potential turning points or breakouts. The width of the channel itself reflects market volatility – widening suggests increasing volatility, while narrowing suggests consolidation. Future Projections are not predictions but rather an extension of current conditions. They can help visualize potential areas where price might interact with projected support/resistance if the current trend and volatility persist. Candle Heatmap Coloring offers a quick visual assessment of where price is trading within the dynamic envelope, highlighting strength or weakness relative to the channel. The Background Volatility Pulse gives a contextual feel for overall market agitation or calmness. This indicator is designed to be a comprehensive analytical tool. Its signals and visualizations are best used in conjunction with other technical analysis techniques, price action study, and robust risk management practices. It is not intended as a standalone trading system. Risk Disclaimer Trading and investing in financial markets involve substantial risk of loss and is not suitable for every investor. The Dynamic Volatility Envelope indicator is provided for analytical and educational purposes only and does not constitute financial advice or a recommendation to buy or sell any security. Past performance is not indicative of future results. Always use sound risk management practices and never trade with capital you cannot afford to lose. The developers assume no liability for any financial losses incurred based on the use of this indicator.
Pine Script® indicator
by sizzlinsoft
1
Vector Candles [v6 Optimized + EMA] Vector Candles represent an innovative technical analysis approach that transforms traditional candlestick charting by integrating volume dynamics, color-coded momentum, and multi-dimensional market insights. Unlike standard candlesticks that merely display price movement, Vector Candles encode additional market information through sophisticated color and volume algorithms. Key Features: -Dynamic Volume-Based Coloring: Candles change color based on trading volume intensity -Volume Categories: High Volume (Lime/Red): Significant market activity (200%+- Vol of Previous 10 Candles) Above Average Volume (Blue/Fuchsia): Moderate market momentum (150%+- Vol of Previous 10 Candles). Normal Volume (Gray Scales): Standard market conditions. Stopping Volume Candles - Typically Pinbar/Doji candles. Stops volume in the current direction of delivery & can help forecast impending reversals or end to the current trend. -Integrated EMA (Exponential Moving Average) Option: -Customizable EMA Length (Default: 50 periods) (I use 33) Configurable EMA Source (e.g., close price) Optional EMA Overlay for Trend Confirmation
Pine Script® indicator
by greggilford47
Elder Envelope V2Based on the public script by idu. (Elder Impulse System with AutoEnvelope combined by idu) I enhanced it by adding: - second set of envelope bands -alerts for Short and Center EMAs cross - fill between EMAs I find this strategy good for swing trading on daily timeframes to determine overbought/oversold conditions. When stock is near 2nd upper band - take profits/short, when near lower -2nd band cover short/buy longs. Bull bear trend is determined by the short and long(center) emas cross. In rangebound flat trends gives false signals. Best edge is when near extremes of the bands.
Pine Script® indicator
by PvloFF
1
Relative Performance Spread**Relative Performance Spread Indicator – Overview** This indicator compares the **relative performance between two stocks** by normalizing their prices and calculating the **spread**, **area under the curve (AUC)**, or **normalized price ratio**. ### **How It Works** * **Input**: Select a second stock (`ticker2`) and a moving average window. * **Normalization**: Each stock is normalized by its own moving average → `norm = close / MA`. * **Spread**: The difference `spread = norm1 - norm2` reflects which stock is outperforming. * **AUC**: Cumulative spread over time shows prolonged dominance or underperformance. * **Bounds**: Bollinger-style bands are drawn around the spread to assess deviation extremes. ### **Usage** * **Plot Type Options**: * `"Spread"`: Spot outperformance; crossing bands may signal rotation. * `"AUC"`: Track long-term relative trend dominance. * `"Normalized"`: Directly compare scaled price movements. Use this tool for **pair trading**, **relative momentum**, or **rotation strategies**. It adapts well across assets with different price scales.
Pine Script® indicator
by gunnjac
LGMM (flat buffers) — multivariate poly + latent statesLGMM POLYNOMIAL BANDS — DISCOVER THE MARKET’S HIDDEN STATES Overview Latent-Gaussian-Mixture-Models (LGMMs) view price action as a mix of several invisible regimes: trending up, drifting sideways, sudden volatility spikes, and so on. A Gaussian Mixture learns these states directly from data and outputs, for every bar, the probability that the market is in each state. This indicator feeds those probabilities into a rolling polynomial regression that draws a fair-value line, then builds adaptive upper and lower bands. Band width expands when recent residuals are large *and* when the state mix is uncertain, and contracts when price is calm or one regime clearly dominates. Crossing back into the band from below generates a buy flag; crossing back into the band from above generates a sell flag (or take-profit for longs). Key Inputs Price source – default is Close; you can choose HL2, OHLC4, etc. Training window (bars) – look-back length for every retrain. 252 bars (one trading year) is a balanced default for US stocks on daily timeframe. Use fewer bars for intraday charts (say 7*24=168 for 1H bars on crypto), more for weekly periods. Polynomial degree – 1 for a straight trend line, 2 for a curved fit. Curved fits are better when the symbol shows persistent drift. Hidden states K – number of regimes the mixture tracks (1 to 3). Three states often map well to up-trend, chop, down-trend. Band width ×σ – multiplier on the entropy-weighted standard deviation. Smaller values (1.5-2) give more trades; larger values (2.5-3) give fewer, higher-conviction trades. Offline μ,σ pairs (optional) – paste component means and sigmas from an offline LGMM (format: mu1,sigma1;mu2,sigma2;…). Leave blank to let the script use its built-in approximation. Quick Start Add the indicator to a chart and wait until the initial Training window has filled. Watch for green BUY triangles when price closes back above the lower band and red SELL triangles when price closes back below the upper band. Fine-tune: – Increase Training window to reduce noise. – Decrease Band width ×σ for more frequent signals. – Experiment with Hidden states K; more states capture richer behaviour but need longer windows to stay reliable. Tips Bands widen automatically in chaotic periods and tighten when one regime dominates. Combine with a volume filter or a higher-time-frame trend to reduce whipsaws. If you already run an LGMM in Python or Matlab, paste its component parameters for a perfect match between your back-test and the TradingView plot. Works on all markets and time-frames, provided you have at least five times the Training window’s bars in history. Happy trading!
Pine Script® indicator
by vsov
[blackcat] L2 Multi-Level Price Condition TrackerOVERVIEW The L2 Multi-Level Price Condition Tracker represents an innovative approach to analyzing financial markets by simultaneously monitoring multiple price levels, thus providing traders with a holistic view of market dynamics. By combining dynamic calculations based on moving averages and price deviations, this tool aims to deliver precise and actionable insights into potential entry and exit points. It leverages sophisticated statistical measures to identify key thresholds that signify shifts in market sentiment, thereby aiding traders in making well-informed decisions. 🎯 Key benefits encompass: • Comprehensive calculation of midpoints and average prices indicating short-term trend directions. • Interactive visualization elements enhancing interpretability effortlessly. • Real-time generation of buy/sell signals driven by precise condition evaluations. TECHNICAL ANALYSIS COMPONENTS 📉 Midpoint Calculations: Computes central reference points derived from high-low ranges establishing baseline supports/resistances. Utilizes Simple Moving Averages (SMAs) along with standardized deviation formulas smoothing out volatility while preserving long-term trends accurately. Facilitates identification of directional biases reflecting underlying market forces dynamically. 🕵️‍♂️ Advanced Price Level Detection: Derives upper/lower bounds adjusting sensitivities adaptively responding to changing conditions flexibly. Employs proprietary logic distinguishing between bullish/bearish sentiments promptly signaling transitions effectively. Ensures consistent adherence to predefined statistical protocols maintaining accuracy robustly. 🎥 Dynamic Signal Generation: Detects crossovers indicating dominance shifts between buyers/sellers promptly triggering timely alerts. Integrates conditional logic reinforcing signal validity minimizing erroneous activations systematically. Supports adaptive thresholds tuning sensitivities based on evolving market conditions flexibly accommodating varying scenarios. INDICATOR FUNCTIONALITY 🔢 Core Algorithms: Utilizes moving averages alongside standardized deviation formulas generating precise net volume measurements. Implements Arithmetic Mean Line Algorithm (AMLA) smoothing techniques improving interpretability. Ensures consistent alignment with established statistical principles preserving fidelity. 🖱️ User Interface Elements: Dedicated plots displaying real-time midpoint markers facilitating swift decision-making. Context-sensitive color coding distinguishing positive/negative deviations intuitively highlighting key activations clearly. Background shading emphasizing proximity to crucial threshold activations enhancing visibility focusing attention on vital signals promptly. STRATEGY IMPLEMENTATION ✅ Entry Conditions: Confirm bullish/bearish setups validated through multiple confirmatory signals assessing concurrent market sentiment factors. Validate entry decisions considering alignment between calculated midpoints and broader trend directions ensuring coherence. Monitor cumulative breaches signifying potential trend reversals executing partial/total closes contingent upon predetermined loss limits preserving capital efficiently. 🚫 Exit Mechanisms: Trigger exits upon hitting predefined thresholds derived from historical analyses promptly executing closures. Execute partial/total closes contingent upon cumulative loss limits preserving capital efficiently managing exposures prudently. Conduct periodic reviews gauging strategy effectiveness rigorously identifying areas needing refinement implementing corrective actions iteratively enhancing performance metrics steadily. PARAMETER CONFIGURATIONS 🎯 Optimization Guidelines: Lookback Period: Governs responsiveness versus stability balancing sensitivity/stability governing moving averages aligning with preferred granularity. Price Source: Dictates primary data series driving volume calculations selecting relevant inputs accurately tailoring strategies accordingly. 💬 Customization Recommendations: Commence with baseline defaults; iteratively refine parameters isolating individual impacts evaluating adjustments independently prior to combined modifications minimizing disruptions. Prioritize minimizing erroneous trigger occurrences first optimizing signal fidelity sustaining balanced risk-reward profiles irrespective of chosen settings upholding disciplined approaches preserving capital efficiently. ADVANCED RISK MANAGEMENT 🛡️ Proactive Risk Mitigation Techniques: Enforce strict compliance with pre-defined maximum leverage constraints adhering strictly to guidelines managing exposures prudently. Mandatorily apply trailing stop-loss orders conforming to script outputs enforcing discipline rigorously preventing adverse consequences. Allocate positions proportionately relative to available capital reserves conducting periodic reviews gauging effectiveness continuously identifying improvement opportunities steadily. ⚠️ Potential Pitfalls & Solutions: Address frequent violations arising during heightened volatility phases necessitating manual interventions judiciously preparing contingency plans proactively mitigating risks effectively. Manage false alerts warranting immediate attention avoiding adverse consequences systematically implementing corrective actions reliably. Prepare proactive responses amid adverse movements ensuring seamless functionality amidst fluctuating conditions fortifying resilience against anomalies robustly. PERFORMANCE MONITORING METRICS 🔍 Evaluation Criteria: Assess win percentages consistently across diverse trading instruments gauging reliability measuring profitability efficiency accurately evaluating downside risks comprehensively uncovering systematic biases potentially skewing outcomes. Calculate average profit ratios per successful execution benchmarking actual vs expected performances documenting results meticulously tracking progress dynamically addressing identified shortcomings proactively fostering continuous improvements. 📈 Historical Data Analysis Tools: Maintain detailed logs capturing every triggered event recording realized profits/losses comparing simulated projections accurately identifying discrepancies warranting investigation implementing iterative refinements steadily enhancing performance metrics progressively. Identify recurrent systematic errors demanding corrective actions implementing iterative refinements steadily addressing identified shortcomings proactively fostering continuous enhancements dynamically improving robustness resiliently. PROBLEM SOLVING ADVICE 🔧 Frequent Encountered Challenges: Unpredictable behaviors emerging within thinly traded markets requiring filtration processes enhancing signal integrity excluding low-liquidity assets prone to erratic movements effectively. Latency issues manifesting during abrupt price fluctuations causing missed opportunities introducing buffer intervals safeguarding major news/event impacts mitigating distortions seamlessly verifying reliable connections ensuring uninterrupted data flows guaranteeing accurate interpretations dependably. 💡 Effective Resolution Pathways: Limit ongoing optimization attempts preventing model degradation maintaining optimal performance levels consistently recalibrating parameters periodically adapting strategies flexibly responding appropriately amidst varying conditions dynamically improving robustness resiliently. Verify reliable connections ensuring uninterrupted data flows guaranteeing accurate interpretations dependably bolstering overall efficacy systematically addressing identified shortcomings dynamically fostering continuous advancements. THANKS Heartfelt acknowledgment extends to all developers contributing invaluable insights regarding multi-level price condition-based trading methodologies! ✨
Pine Script® indicator
by blackcat1402
MSTR/MTPLF Flip Strategy (with 1D Supertrend Overlay)MSTR/MTPLF Flip Strategy – Z-Score + MACD + RSI + Supertrend (1D Overlay) This script is designed for traders rotating between MicroStrategy (MSTR) and Metaplanet (MTPLF)—two Bitcoin proxy stocks—using a quantitative, multi-indicator approach. 🔍 Core Strategy: Z-Score detects statistical mispricing between MSTR and MTPLF RSI confirms momentum extremes (overbought/oversold) MACD identifies trend reversals Supertrend (1D) confirms the broader trend direction ✅ Flip Signals: Flip to MSTR: Z-Score < -2, RSI < 30, MACD bullish crossover, and Supertrend (1D) is bullish Flip to MTPLF: Z-Score > +2, RSI > 70, MACD bearish crossover, and Supertrend (1D) is bearish 📈 Visual Overlay: The 1D Supertrend line is plotted directly on your current chart (e.g., 4H) for easy trend tracking. 🧠 Ideal for swing traders and pair traders looking to rotate capital between correlated assets based on both mean reversion and trend confirmation. Customize the timeframe, sensitivity, and alerts to fit your trading style.
Pine Script® indicator
by R5murphy9773