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Movingaveragecrossover

Moving Average XLMoving Average XL is a customizable multi-moving-average overlay that allows traders to plot up to three separate moving averages on the chart at the same time. Each moving average can be independently enabled, adjusted, styled, and color-coded, making it useful for trend direction, dynamic support and resistance, crossover analysis, and multi-timeframe-style trend context. Each MA group includes the same core settings. “Show MA” turns that moving average on or off. “Length” controls the number of candles used in the calculation, with shorter lengths reacting faster to price and longer lengths smoothing price action more heavily. “Type” lets the user choose between SMA, EMA, WMA, VWMA, RMA, and HMA depending on how responsive or smooth they want the line to be. “Line Style” changes the visual display between solid, stepline, or circles. “Line Thickness” controls the weight of the plotted line, and “Color” lets the user customize each average for easier chart reading. This indicator is designed for traders who want a clean, flexible moving average tool without unnecessary clutter. Use shorter averages to track near-term momentum, medium averages to define intermediate trend direction, and longer averages to identify major trend bias or high-probability support and resistance areas.
Pine Script® インジケーター
tgregg75の投稿
JOAT Pressure Composite [JOAT]JOAT Pressure Composite Introduction JOAT Pressure Composite is an open-source accumulation-distribution and participation oscillator built to measure whether buying or selling pressure is strengthening, weakening, rotating, or diverging from price. It is designed to expose internal sponsorship behind price movement rather than price movement alone. The script combines weighted close-location flow, relative-volume sponsorship, volume sigma, effort, efficiency, momentum bias, VWAP bias, and confirmed higher-timeframe context into one composite pressure model. The problem it solves is hidden participation. Price can rise on weak effort. Price can fall on poor sponsorship. Price can continue moving while internal pressure deteriorates. Pressure Composite tries to expose those changes earlier by measuring how much of the move is actually being sponsored by participation. The oscillator pane carries the composite, signal line, envelope, flow ribbon, and extreme states. At the same time, the indicator projects tailored information onto the main chart. Price divergence is labeled clearly. Expansion and absorption states are labeled directly on candles. Anchored VWAP and trend context are overlaid on price so the oscillator and chart remain connected. Core Concepts 1. Weighted Pressure Engine The base flow uses close-location value and weighted volume. closeLocationValue = (2.0 * close - low - high) / barRange weightedVolume = volume * sponsorshipFactor 2. Pressure Z-Score The raw pressure series is normalized with a Z-score. 3. Sigma and Effort Layers Volume sigma and effort help distinguish aggressive participation from ordinary rotation. 4. Efficiency Bias The script measures whether price is moving efficiently over the selected lookback. 5. VWAP Bias Distance from anchored VWAP is normalized in ATR terms. 6. Confirmed Divergence Logic Pivot-based divergence compares oscillator highs and lows to price highs and lows. 7. Expansion and Absorption Labels The chart prints Bid Expansion, Offer Expansion, Bull Absorption, and Bear Absorption labels directly on price. 8. Confirmed Higher-Timeframe Context The script pulls confirmed HTF composite states only. Features Composite pressure model: blends pressure, effort, sigma, efficiency, and VWAP bias Flow ribbon: shows whether pressure is widening or fading Envelope and extreme states: separates normal expansion from aggressive pressure Confirmed divergence detection: compares oscillator pivots to price pivots Clear divergence labeling: bullish and bearish pressure divergence is labeled directly on price Expansion / absorption labels: market states are marked on actual candles Anchored VWAP context: projected onto the chart for alignment Fast / slow trend context: price-side guides remain visible while using the oscillator Confirmed HTF states: non-repainting higher-timeframe pressure context No dashboard: information is pushed into the chart and oscillator instead of a table Input Parameters Composite Engine: Smoothing Type Flow Smoothing Normalization Length Relative Volume Baseline Relative Volume Boost Volume Sigma Length Effort Smoothing Efficiency Length Signal Length Envelope Length Envelope Multiplier Extreme Multiplier Pivot Length Divergence Scan ATR Length Qualification / Display: Use Trend Gate Trend Fast EMA Trend Slow EMA Use VWAP Gate Minimum Spread Show Histogram Show Signal Line Show Envelope Show Flow Ribbon Show Divergence Tint Price Bars Shade Momentum States Show Price Context Show Price Event Labels How to Use This Indicator Step 1: Read the composite vs signal relationship to judge widening or fading pressure. Step 2: Check whether the state is expansion or absorption. Step 3: Watch labeled divergences closely, especially after extension. Step 4: Use anchored VWAP and trend overlays to connect the oscillator back to price structure. Step 5: Use confirmed HTF context as a quality filter rather than a prediction tool. Indicator Limitations Divergences can persist before price responds Confirmed higher-timeframe context intentionally lags unfinished HTF candles Low-volume environments can flatten the composite even while price drifts Pressure quality does not guarantee immediate reversal or continuation Originality Statement This script is original in how it integrates weighted close-location flow, RVOL sponsorship, sigma, effort, efficiency, VWAP distance, confirmed HTF context, and direct price-chart state labeling into one coherent participation framework. The components are combined because they all address one question: how much real sponsorship exists behind current price movement. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Pressure readings and divergences do not guarantee reversal or continuation. Use the script as context and confirmation, not as a promise of outcome. Best Use Cases Measuring whether price movement is being sponsored by real participation Spotting divergence between price and internal pressure Reading expansion versus absorption conditions Combining participation context with VWAP and trend structure Interpretation Notes The strongest bullish pressure states usually include positive pressure, supportive spread, constructive effort, and favorable price context above value. The strongest bearish pressure states are the mirror image. Divergences are most useful when they appear after extension or at major contextual levels. Absorption labels should be treated as warnings that apparent directional continuation may be losing quality. Publication Notes This script is intended to be published with a clean chart where the oscillator, labeled divergence, and at least one price-context label are clearly visible. Because there is no dashboard, the publication image should make the chart-side annotations easy to read. Keep the chart clean so the viewer can immediately understand that the script links oscillator behavior back to price. -Made with passion by jackofalltrades\
Pine Script® インジケーター
officialjackofalltradesの投稿
Concordance Strategy [JOAT]JOAT Concordance Strategy Introduction JOAT Concordance Strategy is an open-source multi-factor TradingView strategy designed to integrate the JOAT indicator stack into one execution framework. It combines regime context, liquidity interaction, retracement logic, pressure confirmation, channel behavior, and participation filters to decide when enough independent evidence exists to justify a trade. The problem it solves is single-factor dependency. Trend-only systems often chase poor location. Liquidity-only systems can trigger too early. Oscillator-only systems can fade strong directional auctions. Retracement-only systems can buy weak pullbacks without sponsorship. This strategy attempts to solve that by requiring overlap. It does not assume one tool family is sufficient on its own. Instead, it asks whether multiple analytical dimensions agree. That agreement is what the strategy calls concordance. Core Concepts 1. Regime Gate The strategy first evaluates local and higher-timeframe baseline structure, slope, volatility state, and directional control. 2. Hard and Soft Directional States The system uses stronger and softer directional states instead of an all-or-nothing gate. 3. Liquidity and Structure Stack Entries consider sweep behavior, break state, and displacement. 4. Retracement and Confluence Layer Local and HTF retracement context help determine whether price is pulling back into a structurally meaningful area. 5. Pressure Confirmation Pressure logic attempts to confirm that price action has sponsorship behind it rather than only visual momentum. 6. Sigma Channel State Channel logic helps determine whether price is re-entering a directional path or fading from extension. 7. Participation Filter Relative volume and delta-style participation help avoid weak sponsorship environments. 8. Risk and Exit Model The strategy uses structure-aware ATR stops, partial exits, break-even logic, trailing behavior, and optional time exits. Features Integrated multi-factor entry model: regime, liquidity, retracement, pressure, channel, and participation More active soft-entry path: allows more trades while keeping directional structure Confirmed-bar logic: entries use confirmed state conditions Equity-risk sizing: position size is derived from risk per trade ATR and structure-aware stops: volatility and market structure both matter Two-stage profit taking: TP1 and TP2 split the exit logic Break-even and trailing logic: protects trades after expansion Time-based exit: removes stale positions when needed Dashboard: regime, confluence, pressure, ledger, and position state are displayed Strategy Properties Used by Default Initial capital: 100000 Commission type: percent Commission value: 0.02 Pyramiding: 0 Position sizing: equity-risk based Trade management: partial exits, break-even logic, ATR trail, optional time exit How to Use This Strategy Step 1: Treat it as a research framework rather than a promise of future performance. Step 2: Evaluate it across multiple markets and timeframes because the more permissive logic should produce broader participation than the earlier strict version. Step 3: Judge the quality of the trade distribution rather than focusing on one isolated metric. Step 4: Respect the compromises between selectivity and trade frequency. Step 5: Use realistic expectations and avoid reading a single backtest as proof of repeatable future outcomes. Strategy Limitations The strategy still depends on confirmed conditions and can therefore enter later than a discretionary trader Trade frequency and quality vary significantly by symbol and timeframe Default settings are general-purpose and may not be ideal for every market Optimizing too aggressively can become curve fitting Backtest results are hypothetical and do not guarantee future performance Originality Statement This strategy is original in how it requires agreement across regime, liquidity, retracement, pressure, channel, and participation modules before or during entry qualification. The components are not merged simply to produce a busier system. Each one addresses a different failure mode in execution. Their overlap is the basis for participation. Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice. Backtest results are hypothetical and depend on assumptions, settings, and market selection. They do not guarantee future returns. Trading involves substantial risk of loss. Always validate assumptions independently and use responsible risk management. Best Use Cases Researching whether cross-confirmation improves selectivity over single-factor systems Studying how regime, liquidity, retracement, and participation interact inside one strategy Comparing trade frequency across markets and timeframes after the softer entry expansion Testing realistic risk-management assumptions inside a multi-layer strategy Interpretation Notes This strategy should be evaluated as a process, not as a single summary metric. Trade count matters. Distribution of trades matters. How the system behaves across different instruments matters. The softer entry path was added to prevent the strategy from becoming too inactive, especially on higher timeframes. That makes the strategy more usable for broad testing while still preserving directional structure. Publication Notes This strategy should be published with a clean chart and realistic default Properties. If showing results, the description should stay grounded and avoid implying that one test run guarantees future outcomes. The chart image should make the strategy entries and exits easy to understand. -Made with passion by jackofalltrades Evaluation Framework 1. Start by checking whether the strategy is active on the instrument and timeframe you care about. 2. Compare trade count before and after threshold changes. 3. Review whether trade quality remains acceptable as activity increases. 4. Study the interaction between regime, liquidity, pressure, and participation at entry. 5. Judge the strategy by distribution and robustness rather than one isolated metric. Why This Matters The strategy exists to test whether agreement across multiple independent analytical layers can improve execution quality. That research question is more important than any one headline metric. Open-Source Notes This strategy is published open source so users can inspect how the modules overlap and how the risk model is applied. Who This Is For This strategy is for users who want to study how multiple context layers can be combined inside one execution model. It is not intended for anyone looking for a one-click guarantee. Summary JOAT Concordance Strategy is best understood as a structured research tool. It exists to test whether regime, liquidity, retracement, pressure, channel, and participation agreement can improve decision quality. Additional Notes This strategy should be judged with realistic commission and execution assumptions. It should also be evaluated on enough trades to produce a meaningful sample. The defaults are intended to stay grounded rather than theatrical.
Pine Script® ストラテジー
officialjackofalltradesの投稿
Regression Deviation Channel [JOAT]Regression Deviation Channel Introduction The Regression Deviation Channel is an institutional-style statistical trend and execution framework built around segmented regression, deviation envelopes, premium/discount zoning, breakout qualification, and risk mapping. Instead of acting like a plain moving-average channel, it models price through a best-fit regression path, measures dispersion with RMSE, then classifies where price is trading inside that structure: discount, equilibrium, or premium. This version is designed to feel more like a desk-grade directional map than a simple overlay. It combines a frozen regression segment, internal band hierarchy, confidence scoring, Supertrend stack alignment, breakout detection, and ATR-based trade mapping into one visual structure. The goal is not just to show where price is, but whether the current move is balanced, compressed, expanding, or resolving. Why This Indicator Exists Most channels are too simple. They show boundaries but do not explain what price is doing inside those boundaries. This indicator was built to solve that by combining: Segmented Regression: Tracks the current directional price path with a proper best-fit slope Deviation Architecture: Uses RMSE to define statistically meaningful channel width Premium / Discount Zoning: Splits the channel into expensive, fair value, and cheap territory Breakout Qualification: Scores breakout quality using slope, participation, structure, and location Trend Stack Context: Adds Supertrend alignment to distinguish strong directional pressure from noise Trade Mapping: Builds clean ATR-based stop and multi-target projections after confirmed breaks The result is a regression channel that does more than draw lines. It gives context, bias, execution framing, and visual hierarchy. Core Components Explained 1. Segmented Regression Engine = f_ols(winLen) basisVal = intercept + slope * float(barsInSeg - 1) upperVal = basisVal + rmse * multiplier lowerVal = basisVal - rmse * multiplier The core engine uses manual ordinary least squares regression to calculate the channel basis. Once the segment matures, the regression values are frozen and projected forward until price resolves beyond the envelope. This “freeze and resolve” behavior keeps the channel visually stable instead of constantly shifting every bar. 2. RMSE Deviation Structure Root mean squared error defines channel width, making the envelope responsive to how tightly price is hugging the trend. Tight RMSE = cleaner trend structure Wide RMSE = unstable or volatile structure Internal bands split the envelope into inner, quarter, and outer zones These nested bands create a true structure ladder instead of a single upper/lower shell. 3. Premium / Discount Channel Arrays The channel is separated into three value areas: Premium: Upper edge territory where price is extended and expensive relative to the current regression path Equilibrium: The center band around fair value and neutral orderflow balance Discount: Lower edge territory where price is cheap relative to the active path This makes the indicator more useful for directional context: Bull channels pressing premium signal strong continuation pressure Bear channels pressing discount signal strong downside control Repeated failure to hold premium/discount can signal exhaustion or rebalancing 4. Breakout Confidence Model Breakouts are not treated equally. The indicator scores breakout quality using four ingredients: Participation: Distance from the regression basis normalized by ATR Slope Force: Strength of the normalized regression slope Location: Whether price is already pressing the outer structure Alignment: Whether price direction and Supertrend stack agree with the channel breakoutConfidence = participation + slopeForce + location + alignment This helps separate lazy drifts from high-quality channel resolution. 5. Supertrend Ribbon Stack The Supertrend layer is not there as a generic add-on. It acts as a second-order directional filter. Bull channel + bull Supertrend = higher-quality directional stack Bear channel + bear Supertrend = stronger downside stack When regression and Supertrend disagree, price is more likely in transition The fill between regression basis and Supertrend visually shows whether pressure is aligned or conflicted. 6. ATR Risk Map After a confirmed breakout, the indicator projects: 1 ATR-based stop level 3 reward targets using configurable risk-reward multiples Auto-expiring lines so stale trade maps are removed This gives the channel direct execution value instead of leaving the user to manually measure every move. Visual Elements Metallic Basis Line: Gold-toned centerline for the active regression basis Outer Deviation Shell: Main channel boundaries with glow Inner Structure Bands: Internal ladder for pressure staging Premium / Discount Fills: Separate upper and lower value zones inside the channel Equilibrium Fill: Neutral fair-value region Supertrend Ribbon: Context layer showing secondary directional alignment Iridescent Candles: Candle coloring that intensifies as control and confidence improve Breakout Markers: Compact signals for confirmed resolves Readiness Diamonds: Pre-break alignment markers when channel conditions are strong The visual hierarchy is designed so you can read the channel at a glance without relying on heavy objects or clutter. Dashboard The dashboard is intentionally compact and fixed to the right side. It shows only the highest-signal metrics: Bias Regime Flow Channel Position Confidence Compression Trend Stack Trade Map How to Use This Indicator Step 1: Identify Channel Bias Check whether the regression slope is bullish or bearish. That defines the primary directional path. Step 2: Read Value Location See whether price is trading in premium, equilibrium, or discount. This tells you whether price is extended or balanced inside the channel. Step 3: Watch Trend Stack Alignment When Supertrend and regression agree, directional pressure is cleaner. When they disagree, reduce conviction. Step 4: Monitor Confidence Use the breakout confidence score to judge whether price is merely drifting or building a meaningful resolution. Step 5: Trade the Resolve, Not the Noise Use breakout markers and ATR map levels when price exits the frozen envelope with qualified pressure. Best Practices Use higher timeframes for cleaner channel geometry Treat equilibrium as fair value, not a signal by itself Bull channels work best when premium holds and pullbacks respect the inner bands Bear channels work best when discount holds and rallies fail at internal structure High compression followed by rising confidence often precedes expansion Use the risk map for framing, not blind automation Indicator Limitations Regression is still a model of recent price, not a guarantee of future direction Sudden event-driven moves can invalidate the frozen segment quickly Premium and discount are relative to the current channel, not absolute market value High breakout confidence can still fail in thin or news-driven markets Short segments increase responsiveness but also increase noise Technical Implementation Built in Pine Script v6 using: Manual OLS regression RMSE deviation envelopes Segment freeze-and-resolve logic Internal quarter and inner bands Premium/discount channel zoning Supertrend stack integration Breakout confidence scoring ATR-based stop and target map Compact institutional dashboard Originality Statement This indicator is original in how it treats a regression channel as a full market-state framework instead of a static overlay. The value is not just in plotting upper and lower lines, but in combining: Segment freezing Internal value zoning Directional stack confirmation Breakout qualification Execution mapping Each layer contributes different information: regression defines path, RMSE defines structure, premium/discount defines value, Supertrend defines stack, and confidence defines quality. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Regression channels, premium/discount zones, and breakout scores are analytical tools, not guarantees of market outcome. All trading decisions remain the responsibility of the user. -Made with passion by officialjackofalltrades
Pine Script® インジケーター
officialjackofalltradesの投稿
Confluence Engine Strategy [JOAT]Confluence Engine Strategy Overview Confluence Engine Strategy is a fully automated Pine Script v6 strategy that combines four independent signal layers into a single numeric confluence score (0–100) before executing any trade. Entries require genuine agreement between linear regression momentum, dual EMA trend regime, ATR volatility state, and higher-timeframe bias. All exits are ATR-proportional with configurable take-profit and stop-loss multiples, plus a bar-based timeout and a trend-flip emergency exit. Commission (0.05% per side) and slippage (2 ticks) are configured for realistic backtesting. Why Require Confluence? Single-condition strategies (e.g., "go long when RSI crosses 50") produce entries in every conceivable market environment — ranging, trending, low-volatility, high-volatility — most of which are statistically unfavourable for that signal type. Requiring multiple independent conditions to agree simultaneously filters the entry universe down to the high-probability subset where each individual indicator is operating in its most favourable context. The Confluence Engine makes this filtering explicit and auditable through a numeric score. Signal Layer 1 — Linear Regression Crossover The primary entry trigger mirrors the Regression Flux Candles logic: a 21-bar linear regression of close (LR close) crossing above/below an 8-bar SMA of itself. The LR approach de-noises price before computing the crossover, significantly reducing the whipsaw rate compared to raw close-based SMA crossovers. Signal Layer 2 — Dual EMA Trend Regime Two exponential moving averages (fast: 21-period, slow: 55-period) define the trend regime. Long entries are only considered when the fast EMA is above the slow EMA; short entries only when fast is below slow. This prevents the LR crossover from triggering counter-trend entries in established trends — one of the most common sources of false signals in momentum strategies. Signal Layer 3 — ATR Volatility State The current 14-bar ATR is compared to a 50-bar ATR. Entries are only accepted when the current ATR is above a configurable fraction of the slow ATR (default 0.7). This volatility gate blocks trades during compression phases — low-volatility periods where breakouts frequently fail. The strategy only participates when directional energy is present. Signal Layer 4 — Higher-Timeframe Bias A higher-timeframe linear regression direction is fetched via request.security() with lookahead_off. The HTF LR close vs. HTF LR open comparison gives a single bullish/bearish vote from the higher timeframe. Long entries receive a confluence bonus when the HTF agrees; short entries receive a bonus when the HTF is bearish. This aligns trade direction with the prevailing macro bias. Confluence Score and Threshold Each of the four layers contributes points to the confluence score: - LR crossover in direction: +30 - Dual EMA alignment: +25 - ATR volatility expansion: +20 - HTF bias alignment: +25 Maximum score: 100. The minimum required score to execute an entry (default 60) filters out entries where fewer than three layers agree. This threshold is adjustable — lower it for more signals, raise it for higher selectivity. Entry Logic Long: LR crossover up AND the accumulated confluence score >= minimum AND the signal is on a confirmed bar AND warmup has elapsed AND no position is currently open AND no cooldown bars remain. Short: LR crossover down AND confluence >= minimum AND same guards. A configurable cooldown period (default 5 bars) prevents re-entering the same direction immediately after an exit, avoiding overtrading in choppy conditions. Exit Logic — Four Exit Conditions 1. ATR Take-Profit: Long exits when close >= entry + ATR × TP multiplier (default 2.0). Short exits below entry - ATR × TP. 2. ATR Stop-Loss: Long exits when close <= entry - ATR × SL multiplier (default 1.2). Short exits above entry + ATR × SL. 3. Bar Timeout: If neither TP nor SL is hit within a configurable number of bars (default 20), the trade exits at market — preventing capital from being locked in stalled trades. 4. Trend Flip Exit: If the dual EMA regime flips against the trade direction (fast EMA crosses slow EMA), the trade exits immediately — recognising that the structural basis for the entry has been invalidated. Strategy Properties - Initial capital: $10,000 - Order size: 10% of equity per trade (sustainable risk allocation) - Commission: 0.05% per side (representative of major exchange fees) - Slippage: 2 ticks (accounts for spread and execution delay) - Currency: USD - Pyramiding: disabled (one position at a time) These settings are designed to produce realistic backtesting results. Risk per trade is capped well below the 5–10% equity guideline. Commission and slippage are included to prevent overstating performance. Inputs Reference Signal Layers - LR Length (21) — linear regression period - Signal SMA Length (8) — crossover trigger SMA - Fast EMA (21) / Slow EMA (55) — trend regime definition - ATR Length (14) / ATR Slow Length (50) / ATR Threshold (0.70) - HTF Timeframe — higher-timeframe bias source (default "D") Confluence & Filters - Min Confluence Score (60) — minimum sum of layer scores required for entry - Cooldown Bars (5) — bars to wait after exit before re-entering - Max Bars in Trade (20) — timeout exit Risk Management - TP ATR Multiple (2.0) — take-profit distance in ATR units - SL ATR Multiple (1.2) — stop-loss distance in ATR units How to Read the Results Apply the strategy to a liquid instrument on a 1H or 4H chart with sufficient history to generate 100+ trades. Evaluate: - Net profit relative to max drawdown (seek ratio > 2:1) - Win rate in context of average win vs. average loss - Profit factor (total gross profit / total gross loss, seek > 1.3) - Number of trades (sufficient sample size for statistical inference) Adjust the confluence minimum score to trade off signal frequency against quality: 50 produces more trades, 75 produces fewer but higher-quality entries. Non-Repainting Design All entries fire on strategy.entry() within barstate.isconfirmed blocks. HTF bias uses lookahead_off. No future bar data is accessed. Historical signals do not shift position. Limitations - The strategy is designed as a general-purpose framework. It is not optimised for any specific instrument or session. Optimal parameters vary significantly across markets and timeframes. - ATR-based exits are approximate. In gap markets (equities overnight, weekend gaps on crypto), the stop-loss may be exceeded significantly before the exit executes. - Backtesting results are computed on historical data only and do not account for execution quality, broker-specific fees, or market impact. Past backtesting performance does not guarantee future live results. - The bar timeout exit may prematurely close positions that would have eventually reached TP. This is a deliberate conservative design choice to limit capital lock-up, not a flaw. Disclaimer This strategy is provided for educational and informational purposes only. Backtesting results presented in the strategy tester represent historical simulation and do not guarantee any future trading outcome. Past performance is not indicative of future results. Never risk capital you cannot afford to lose. Always use proper risk management and conduct independent analysis before making any trading decisions. Made with passion by officialjackofalltrades
Pine Script® ストラテジー
officialjackofalltradesの投稿
RSI Trend Dashboard + SMMA Channel OverlayAt its core, this script is an RSI trend framework designed to organize momentum into a compact dashboard that is easy to read at a glance, while also extending that same logic back onto the main chart through an optional SMMA-style channel overlay. Instead of treating RSI as just a single line crossing fixed levels, this script breaks it into a layered structure: current RSI state, higher-timeframe comparison, fast and slow RSI average relationships, and a summarized fast-vs-slow regime table view. The goal is not simply to show whether RSI is high or low but to create a cleaner way to read momentum alignment, trend agreement, and chart-side context from one unified engine. The foundation of the script is the 5-row RSI trend strip. That strip is built to answer a practical set of questions quickly: Is RSI in a bullish, bearish, or neutral zone? Is chart RSI above or below its higher-timeframe RSI reference? Is RSI above or below its fast average? Is RSI above or below its slow average? And is the fast average currently above or below the slow average? That matters because momentum is often easier to interpret as a stack of relationships instead of as one isolated value. A single RSI print can be helpful, but RSI in relation to HTF RSI, fast structure, and slow structure often gives a better read on whether momentum is strengthening, weakening, or starting to rotate. The added features here are not meant to feel bolted on. They are different ways of reading the same momentum structure. In this script, that includes: ➖ a 5-row trend strip ➖ a stabilized higher-timeframe RSI comparison ➖ fast and slow RSI average relation rows ➖ a fast-vs-slow summary row ➖ a compact dashboard table with current values, bar-to-bar deltas, and slope arrows ➖ an optional RSI-colored price candle overlay ➖ an optional Trend SMMA Channel Overlay on the main chart ➖ an optional smoothed OHLC4 price-average line used to color the channel ➖ optional bullish and bearish triangle markers derived from the overlay engine The dashboard table is there to keep the same engine readable in a more precise format. The pane gives the fast visual impression. The table gives the actual current readings: rounded values, simple deltas, and short slope arrows so the trader can see not only where RSI and its companion series are, but whether they are currently improving, fading, or flattening. I like that combination because it keeps the script visual first, but still lets you confirm the details without needing to inspect each series manually. The higher-timeframe layer is an important part of the script. Rather than leaving RSI fully isolated to the local chart, this indicator compares the chart RSI against the next logical higher timeframe so traders can quickly judge whether local momentum is aligned with broader context or starting to separate from it. The script uses SimpleCryptoLife’s HighTimeframeSampling library to stabilize that HTF reference series, which helps keep the higher-timeframe comparison cleaner and more reliable in live use. The chart-side Trend SMMA Channel Overlay serves a different purpose. While the pane organizes RSI structure, the overlay projects a smoother trend context directly onto price using Wilder-style smoothed high and low boundaries, along with an optional smoothed OHLC4 price-average line. That creates a second way to read the same market: the pane shows internal momentum relationships, while the chart overlay helps show whether smoothed price-average behavior is pressing above the channel, below it, or back inside it. In other words, the pane gives the momentum-state view and the chart gives the price-structure view. This script also uses auto timeframe length resolvers for the main chart-side overlay tools, which I think makes it more practical across different chart speeds. Instead of forcing users to constantly retune multiple lengths when moving from lower timeframes to higher ones, the script can automatically resolve separate preset lengths for the Trend SMMA channel, the OHLC4 price-average line, and the bullish/bearish triangle engine. Manual controls are still available, but the default design is meant to stay more adaptive and chart-friendly out of the box. A practical way to think about it: ➡️ If RSI is strong, above HTF RSI, and above both fast and slow averages, momentum is generally aligned in the bullish direction. ➡️ If RSI is weak, below HTF RSI, and below both fast and slow averages, momentum is generally aligned in the bearish direction. ➡️ If the rows begin to disagree with each other, that often signals transition, cooling, or a market that is no longer moving with the same clean momentum structure. ➡️ If the Trend SMMA overlay is also pushing outside its channel in the same direction, that can help reinforce what the pane is already suggesting. ➡️ If the pane and chart overlay begin to disagree, that can be a useful sign that trend strength may be losing alignment. This is not meant to predict reversals by itself, and I would not treat it as a stand-alone signal machine. The way I use it is more practical: ➖ to judge whether RSI momentum is aligned or mixed ➖ to compare local RSI behavior against higher-timeframe context ➖ to see whether fast and slow momentum structure are still confirming each other ➖ to keep pane-space momentum and chart-space trend context visually connected That overall framing is very similar to the way my previous Chandelier and Heikin Ashi publishings were written: one central engine, then multiple companion layers that help interpret the same underlying structure rather than replacing it with unrelated tools. Bar Replay is especially useful here. Watching the strip build one bar at a time makes it much easier to see when RSI shifts from neutral into directional territory, when chart RSI moves above or below its HTF reference, when the fast/slow relationship changes, and how the chart-side SMMA overlay responds as price-average behavior moves through the channel. Scripts like this are often easier to understand dynamically than from a single static screenshot. Like most momentum tools, this works best with confluence. I would not use it in isolation. Structure, volume, support and resistance, price action, market regime, and higher-timeframe context all still matter. The value of this script is not that it replaces those tools. The value is that it gives RSI a more organized dashboard-style expression while also extending that same read onto the main chart through a cleaner trend overlay. Credit where it’s due: this script uses SimpleCryptoLife’s HighTimeframeSampling library for the stabilized HTF reference, and portions of the Trend SMMA channel, OHLC4 price-average interaction, and bullish/bearish triangle logic were adapted from concepts used in SimpleCryptoLife’s open-source Price Action Trend work. I always want that lineage to be clear, especially when chart-side concepts have been reworked into a different script and broader dashboard framework.
Pine Script® インジケーター
MYNAMEISBRANDONの投稿
MTF Confluence Gauge [JOAT]MTF Confluence Gauge Introduction One of the most persistent challenges in technical analysis is the problem of timeframe conflict. A setup that looks perfectly constructed on a 15-minute chart can be swimming against a powerful current on the 4-hour chart, while simultaneously aligned with the daily trend. Traders who operate on a single timeframe are making decisions without full awareness of the forces acting on the instrument across the full spectrum of market participants — from short-term speculators to institutional position traders whose horizons span weeks or months. The MTF Confluence Gauge addresses this challenge by simultaneously reading the HEMA (Hull-EMA Hybrid) trend state of up to 5 configurable assets across 5 configurable timeframes — producing 25 individual trend readings. Each reading is a directional vote: +1 for bullish HEMA alignment, -1 for bearish alignment, 0 for neutral. These 25 votes are summed into a raw score ranging from -25 to +25, normalized to a -100 to +100 scale, and further refined by local market modifiers including a delta proxy, volume RSI, volatility squeeze state, and local HEMA trend. The result is a composite gauge that represents the aggregate directional consensus across assets and timeframes simultaneously. This multi-asset capability makes the indicator unique even among multi-timeframe tools. Most MTF indicators read a single instrument across multiple timeframes. The MCG reads multiple instruments across multiple timeframes — enabling users to understand whether a bullish signal on their primary instrument is supported by correlated assets (e.g., sector ETFs, index futures, correlated crypto pairs) or is an isolated move that runs counter to the broader market ecosystem. A long signal supported by bullish readings across correlated assets and multiple timeframes is fundamentally different in quality from one that is isolated to a single timeframe of a single instrument. Core Concepts 1. HEMA Trend Function for MTF Reads The HEMA trend function is the foundational building block of every cell in the 5×5 matrix. For each asset-timeframe combination, request.security() retrieves the HEMA values on that timeframe, and the relative alignment of the fast, slow, and macro HEMA layers determines the trend vote. The lookahead parameter is explicitly set to barmerge.lookahead_off to ensure no future data contamination — the trend reading reflects only information that was available at the close of the most recent completed bar of the target timeframe. f_hema(src, len) => ta.ema(2 * ta.ema(src, len / 2) - ta.ema(src, len), math.round(math.sqrt(len))) f_mtfTrend(sym, tf) => h1 = request.security(sym, tf, f_hema(close, hFast), lookahead=barmerge.lookahead_off) h2 = request.security(sym, tf, f_hema(close, hSlow), lookahead=barmerge.lookahead_off) h3 = request.security(sym, tf, f_hema(close, hMacro), lookahead=barmerge.lookahead_off) h1 > h2 and h2 > h3 ? 1 : h1 < h2 and h2 < h3 ? -1 : 0 This function is called 25 times — once per cell in the matrix. The result for each call is stored in a 5×5 array of integers and subsequently used for both the raw score calculation and the table cell coloring. 2. Raw Score and Normalization The 25 individual trend votes are summed to produce a raw score. This sum is then smoothed with a 3-bar EMA to reduce single-bar noise. Normalization to the range is achieved by dividing the smoothed raw score by 25 (the maximum possible absolute value) and multiplying by 100. rawScore = 0 for r = 0 to 4 for c = 0 to 4 rawScore += trendMatrix.get(r * 5 + c) smoothedRaw = ta.ema(rawScore, 3) normalizedScore = smoothedRaw / 25 * 100 The normalized score forms the base for the histogram and is displayed in the dashboard as the "MTF Bias" value. By normalizing against the theoretical maximum, the scale is consistent regardless of how many assets are configured as neutral (0 votes) — the maximum expressible bull consensus is always +100 and the maximum bear consensus is always -100. 3. Local Score Modifiers The raw MTF score represents the multi-asset, multi-timeframe consensus, but it does not account for the specific conditions of the primary chart instrument at the current moment. Four local modifier calculations adjust the score based on immediate market context. The local HEMA trend applies a ±10 point bonus. The delta proxy (bar-range-based buying/selling pressure) applies a ±5 point bonus. Volume RSI above threshold applies a ±5 point bonus in the direction of the local trend. The volatility squeeze state applies a ±5 bonus when the market is not squeezing (i.e., volatility is freely expressing direction). All individual bonuses are summed and the combined total is clamped to the range. localBonus = localTrend * 10 deltaBonus = deltaPos ? 5 : -5 volBonus = highVol ? (localTrend > 0 ? 5 : -5) : 0 sqzBonus = squeezing ? 0 : localTrend * 5 totalScore = math.max(-100, math.min(100, normalizedScore + localBonus + deltaBonus + volBonus + sqzBonus)) displayScore = ta.ema(totalScore, 5) The final display score is a 5-bar EMA of the adjusted total, providing visual smoothness in the histogram while retaining the responsiveness of the underlying calculations. Local modifiers mean the gauge can show strong bull bias from MTF readings while still being dampened by bearish local conditions — a useful warning mechanism. 4. The 5×5 Color-Coded Table The visual centerpiece of this indicator is the 5×5 table rendered in the oscillator pane. Each of the 25 cells represents one asset-timeframe combination. Bullish cells are filled with teal and display an upward arrow (▲). Bearish cells are filled with red and display a downward arrow (▼). Neutral cells are filled with violet and display a dash (—). Row 6 of the table shows the column-sum score for each timeframe column, giving an immediate vertical read of how strongly any given timeframe is leaning across all configured assets. This allows traders to identify whether bias is uniform across timeframes or concentrated in specific horizons. 5. Histogram, Squeeze Background, and Reference Lines The composite score is rendered as a histogram with gradient fill — teal shades above zero transitioning toward deep teal at maximum bull readings, red shades below zero deepening toward maximum bear. Reference lines at ±25 define the "bias threshold" — readings beyond this level indicate a meaningful multi-timeframe lean. Reference lines at ±60 define the "strong conviction threshold" — readings here suggest near-uniform agreement across the majority of configured cells. When the local volatility squeeze is active (detected via ATR compression), the oscillator pane background tints violet, visually indicating that the current score may be elevated or depressed relative to its normal expression due to compressed price action. Features 25-Cell MTF Matrix: 5 configurable assets × 5 configurable timeframes, each independently returning a HEMA trend vote. lookahead_off Security Calls: All request.security() calls use barmerge.lookahead_off to prevent future bar data contamination. Smoothed Normalization: Raw score EMA-smoothed then normalized to for consistent cross-session comparability. Four Local Modifiers: Local HEMA trend, delta proxy, volume RSI, and squeeze state each contribute bonus points to produce a context-aware composite score. 5×5 Color-Coded Table: Teal/red/violet cells with directional arrows and column score totals for immediate visual matrix reading. Gradient Histogram: color.from_gradient fill above and below zero with reference lines at ±25 (bias) and ±60 (strong conviction). Squeeze Background Tint: Violet overlay on oscillator pane background when local volatility compression is detected. Nine-Row Dashboard: MTF bias label (six levels from STRONG BULL to STRONG BEAR), composite score, raw MTF score, squeeze state, Pearson R, delta bias, volume RSI, and local trend. Six Alert Conditions: Cross above +25, cross below -25, cross above +60, cross below -60, cross above 0, cross below 0. Input Parameters Asset Configuration: Asset 1-5 Symbols: Ticker symbols for each of the five configurable assets (defaults: current symbol, SPY, QQQ, GLD, TLT or equivalents) Timeframe Configuration: TF1-TF5: Five timeframe strings for the matrix columns (defaults: "15", "60", "240", "D", "W") HEMA Settings: Fast Length: HEMA fast period for all MTF reads (default: 20) Slow Length: HEMA slow period for all MTF reads (default: 50) Macro Length: HEMA macro period for all MTF reads (default: 100) Local Modifier Settings: Delta Window: Smoothing period for delta proxy calculation (default: 10) Volume RSI Threshold: Level above which volume is considered high (default: 65) ATR Squeeze Length: Period for local volatility compression detection (default: 20) Display Settings: Show Table: Toggle the 5×5 trend matrix table (default: true) Show Histogram: Toggle the composite score histogram (default: true) Show Dashboard: Toggle the nine-row information table (default: true) Show Squeeze Background: Toggle the violet compression tint (default: true) How to Use This Indicator Step 1: Configure Assets for Your Trading Context The indicator's value scales directly with the relevance of the configured assets to your primary instrument. For equity traders, configuring sector ETFs correlated with the primary stock (e.g., XLK for technology stocks, XLF for financials) alongside index instruments (SPY, QQQ, DIA) creates a meaningful consensus gauge. For crypto traders, configuring BTC, ETH, and leading altcoins provides an ecosystem-wide directional read. For forex traders, related currency pairs and safe-haven instruments (gold, bonds) capture macro correlation. Spend time selecting assets whose price behavior is structurally linked to your primary trading instrument. Step 2: Use the Table for Timeframe Structure Analysis Before looking at the composite score, read the table column by column. If the shorter timeframe columns (15m, 1H) are predominantly teal (bullish) but the longer timeframe columns (Daily, Weekly) are predominantly red (bearish), the market is in short-term counter-trend bounce territory — a higher-risk environment for long trades. Conversely, when both short and long timeframe columns are aligned in the same direction, the consensus is clean and structural. The column score row at the bottom of the table quantifies this alignment numerically. Step 3: Interpret the Composite Score Levels The ±25 threshold is the first meaningful level. A score above +25 indicates that more than half of the 25 cells are bullish (adjusted for local modifiers), suggesting a genuine bias rather than random noise. Between +25 and +60, the market has a directional lean but lacks uniform agreement. Above +60, the consensus is strong — the majority of assets across the majority of timeframes are in bullish alignment. The inverse applies below -25 and -60. Cross-zero signals (score moving from negative to positive) indicate a shift in aggregate consensus, which is often a leading indicator of trend changes on the primary instrument. Step 4: Monitor Local Modifier Impact The dashboard displays both the raw MTF score and the composite adjusted score. The difference between these two values reflects the cumulative impact of local modifiers. A large positive difference means local conditions (delta, volume, squeeze, HEMA) are amplifying the MTF signal. A large negative difference means local conditions are dampening it — the MTF matrix shows bulls, but the primary instrument itself is not confirming. In these cases, patience is warranted before entering. Indicator Limitations The indicator makes 25 request.security() calls plus additional local calculations. On crowded chart setups with many other indicators, this computational load may affect chart loading time. TradingView enforces limits on request.security() calls per script; users should be aware of this limit if adding other indicators with security calls. All 25 MTF trend readings update on the chart's native timeframe bars. Readings from higher timeframes update only when a new bar completes on that timeframe — the HEMA reading for a weekly timeframe, for instance, updates only at the weekly close. Between weekly closes, the weekly cell reading remains at the prior week's value. HEMA calculations at very short periods on very high timeframes (e.g., period 20 on a Monthly timeframe) may have insufficient bars to produce statistically stable readings. Users should ensure the target instrument has sufficient history on all configured timeframes. Asset correlation is dynamic — assets that are correlated in one market regime may decouple in another. A gauge configured for normal market correlation may produce misleading readings during crisis events when traditional correlations break down. The local modifier adjustments (±10, ±5, ±5, ±5) are fixed contribution weights. They do not adapt to changing market conditions and may disproportionately influence the composite score during specific regimes. The composite score is a simplified linear aggregation of heterogeneous signals. It treats a weekly HEMA reading as equivalent to a 15-minute HEMA reading in terms of contribution weight, which may not reflect the practical importance of longer timeframe trends. Originality Statement The MTF Confluence Gauge is an original multi-dimensional trend aggregation tool that differs meaningfully from existing multi-timeframe indicators. The 5×5 asset-timeframe matrix — simultaneously reading five user-configurable assets (not just one instrument across five timeframes) across five user-configurable timeframes — is an original architectural choice that enables cross-asset consensus analysis not available in standard MTF indicators. The HEMA-based trend vote function (requiring all three HEMA layers to be in sequence for a definitive +1 or -1 vote, otherwise returning 0) is a more stringent trend classification than simple moving average crossovers typically used in MTF dashboards. The four-component local modifier system — HEMA bonus, delta proxy bonus, volume RSI bonus, and squeeze state bonus — applied as additive adjustments to the normalized MTF score before display is an original composite scoring architecture. The six-level bias label system in the dashboard (STRONG BULL, BULL, SLIGHT BULL, SLIGHT BEAR, BEAR, STRONG BEAR) derived from the composite score threshold ranges provides a human-readable categorical summary not commonly implemented in MTF oscillators. The visual integration of the 5×5 table within the oscillator pane (rather than as a separate overlay) alongside the gradient histogram, squeeze background tint, and reference lines at ±25 and ±60 represents a unified pane design not seen in comparable indicators. Disclaimer The MTF Confluence Gauge is provided for educational and informational purposes only. It is a technical analysis tool and does not constitute financial advice. Multi-timeframe and multi-asset confluence does not guarantee trade success. Correlation between assets changes over time and cannot be relied upon to remain stable. All trading involves risk of loss. Users are solely responsible for their own trading decisions. Please consider your individual risk tolerance and consult a licensed financial professional before engaging in any trading activity. -Made with passion by officialjackofalltrades
Pine Script® インジケーター
officialjackofalltradesの投稿
AG Pro Moving Average Ribbon Stress Meter [AGPro Series]AG Pro Moving Average Ribbon Stress Meter Overview / What It Does This indicator is designed to read the internal condition of a moving-average ribbon rather than treating the ribbon as a simple trend overlay. Instead of asking only whether the ribbon is bullish or bearish, it asks a different question: is the ribbon structurally calm, starting to load, becoming strained, or losing internal order. The script builds a six-line moving-average ribbon, measures how those averages interact with each other, and converts that interaction into a stress framework. The result is a visual map that helps show whether the ribbon is organized, stretched, unstable, or resetting after stress. In practical terms, the script is built to help users evaluate ribbon quality, internal synchronization, and the degree of structural pressure inside the moving-average stack. It is not intended to forecast future prices, call tops or bottoms, or replace broader market analysis. Its purpose is to organize what the ribbon is doing now and how stable or unstable that structure appears to be. The chart output combines multiple layers: the ribbon itself, a central stress spine, edge bands, optional stress aura, event labels, and a compact status panel. Together, these elements aim to make the ribbon easier to interpret without requiring the user to manually inspect every moving average line on every bar. Unique Edge Many ribbon-style tools focus on directional bias, crossovers, or broad expansion and contraction. This script focuses on internal ribbon stress. Its main distinction is that it does not treat all ribbon trends as equal. A ribbon can be rising while still carrying internal disagreement. A ribbon can also look compressed or visually clean while underlying alignment, slope behavior, width dynamics, or price stretch are beginning to deteriorate. This script is built to surface those conditions. The goal is not to reduce the market to a single signal. The goal is to provide a structured visual read on whether the moving-average stack is operating in a calm state, a loaded state, a strained state, or a more unstable condition. That makes it more useful as a workflow tool than as a simple trend-colour overlay. Another point of differentiation is presentation. The script uses a ribbon-focused visual design so that the user can read internal condition directly from the chart. Focus modes, theme presets, stress spine layering, and a compact panel are included to keep the display informative without turning the chart into a dense dashboard. Methodology The script evaluates ribbon condition through five stress components. 1) Order Stress This measures whether the moving averages are stacked cleanly or whether their order is becoming mixed. Lower stress suggests cleaner structural order. Higher stress suggests more internal disorder. 2) Slope Dispersion Stress This evaluates how consistently the moving averages are sloping together. When the ribbon lines are moving with similar directional agreement, synchronization is stronger. When their slopes diverge, internal stress rises. 3) Width Instability Stress This tracks whether the ribbon width is behaving in a stable or unstable way. A ribbon can widen in an orderly way or in a more erratic way. This component attempts to distinguish between those conditions. 4) Curvature Stress This evaluates bending in the ribbon core. Strong changes in ribbon curvature may indicate increasing internal pressure or transition. 5) Price Stretch Stress This measures how far price is moving from the ribbon core relative to ribbon width and ATR-based normalization. This is not a directional claim. It is a structure-based distance measure. These components are weighted and blended into a smoothed Stress Score. That score then feeds the state engine. Primary states include Calm, Loaded, Strained, Critical, Fractured, and Recovery. The panel and visual styling use those states to summarize the ribbon condition at the current bar. Signals & Alerts This script is built around state transitions and structural events rather than buy/sell promises. Depending on settings, users may see event labels and alerts such as: Stress Build Shows that stress has crossed into an early loading phase. Strained Shows that the ribbon has moved into a more stressed internal state. Critical Load Highlights a higher-pressure condition where instability has become more meaningful. Ribbon Fracture Marks a stronger structural failure condition when stress and ribbon order deterioration align. Stress Reset Shows that a previously elevated stress condition has cooled enough to register recovery. Order Restored Highlights improvement in ribbon order after disorder had been present. These events are not trade instructions. They are context markers intended to help users track shifts in ribbon condition. Alerts should be interpreted together with market structure, timeframe context, volatility, and personal risk management. Key Inputs Source and MA Type The ribbon can be built from different moving-average types and data sources. Ribbon Lengths Users can define the six ribbon lengths to fit their preferred structure and timeframe. Stress Engine Inputs ATR length, slope lookback, width lookback, curvature lookback, smoothing, and component references allow users to calibrate how sensitive the stress model should be. Weights The script includes separate weights for order stress, slope dispersion, width instability, curvature stress, and price stretch stress. Thresholds Loaded, Strained, Critical, and Fracture thresholds can be adjusted for tighter or looser state transitions. Theme Presets and Focus Mode Theme presets and focus modes allow the ribbon to be displayed in different visual styles while preserving the same logic. Events and Panel Users can control label density, label spacing, marker visibility, and panel position. Limitations & Transparency This script is an interpretation framework built around moving-average relationships. It does not know future price movement, and it does not claim certainty. Like any model built on smoothed market data, it will react more slowly in some environments and may produce fewer useful transitions in others. Different assets and timeframes can produce different ribbon personalities. A threshold or weight set that feels balanced on one market may feel too sensitive or too quiet on another. Users should expect to adapt settings if they move between instruments with very different volatility or trend behavior. The stress model is also deliberately selective. It does not try to label every fluctuation or classify every candle. Its purpose is to organize ribbon condition, not to describe every possible market state. This indicator should also not be confused with a complete trading plan. It does not define entries, exits, position sizing, or account risk. It is best used as a structural context tool inside a broader workflow. Risk Disclosure This script is for chart analysis and educational use. It is not financial advice, investment advice, or a promise of outcome. No indicator can guarantee performance, remove risk, or eliminate false readings. Market conditions change, correlations shift, and trend behavior can weaken or reverse without warning. Any decision taken from this script should be made within a broader framework that includes price structure, liquidity, volatility, timeframe alignment, and risk control. Users are responsible for testing settings, understanding the limitations of moving-average tools, and deciding whether the information produced by the script fits their own process.
Pine Script® インジケーター
AGProLabsの投稿
2
Cross PBThis Pine Script v6 indicator identifies potential trend changes using crossovers of two moving averages (fast and slow), enhanced by a candlestick body confirmation mechanism. It provides two distinct signal types for refined entry/exit points. Key Features: Dual Signal System Based on Candle Close: Alert 1 (Buy/Sell): Triggers after a bullish crossover (fast MA crosses above slow MA) AND a bearish candle (close < open) closes below the fast MA. The inverse applies for a sell signal (bearish crossover + bullish candle + close above fast MA). Alert 2 (Buy/Sell): Similar to Alert 1, but the candle close condition is checked relative to the slow MA, providing a broader price zone validation. Moving Average Flexibility: Allows independent selection of length, price source (close, hl2, hlc3, etc.), and type (SMA, EMA, WMA, HMA, ALMA, TMA, TSMA, KAMA, AMA, etc.) for all three moving averages. Alert Control: Independently enable or disable alerts for buy/sell signals of type 1 and type 2. Visualization: Plots all three moving averages on the chart for visual tracking of their interactions. Usage: The indicator aims to capture the start of trends. The logic of using a bearish candle to confirm a bullish signal (and vice-versa) might represent a dynamic of rejection or consolidation immediately after the crossover before a new trend effectively begins. This can help filter out standard false moving average crossover signals.
Pine Script® インジケーター
NunyadzilaTradingの投稿
EMA Cloud + AlertsMulti‑Time Frame EMA Cloud with Pre‑Defined Modes for Intraday, Daily, and Weekly Trading. This indicator provides a clean, non‑repainting EMA Cloud system with optimized presets for different trading styles and volatility regimes. Modes automatically adjust EMA lengths, label sizes, and visual behavior for each timeframe category. Modes Included: Weekly – Standard (8/21) Weekly – Noise Filter (10/22) Daily – Standard (8/21) Daily – Smooth Trend (10/20) Daily – MACD Style (12/26) Intraday – Momentum (5/13) Intraday – Smooth Momentum (9/27) Features: Non‑repainting crossover logic (optional “Wait for Close” mode) Adaptive label sizing based on mode (tiny → small → normal) EMA Cloud visualization with trend‑persistent coloring Trend change alerts (LONG / SHORT) Distance‑to‑EMA table for precision entries and risk management Optional higher‑timeframe EMA sourcing Ideal For: Intraday momentum trading Daily swing trading Weekly trend and regime filtering Multi‑timeframe alignment strategies
Pine Script® インジケーター
followmytradingjournalの投稿
Welles Wilders MAs - MTFWelles Wilder Moving Averages - Multi-Timeframe (MTF) This indicator displays Welles Wilder's Smoothed Moving Averages calculated from a higher timeframe of your choice, allowing you to view longer-term trend data on lower timeframe charts (such as tick charts, second charts, or any intraday timeframe). KEY FEATURES: • Multi-Timeframe Capability: Plot moving averages from any timeframe (default: 5 minutes) on your current chart • Four Trend Layers: Short (34), Medium (72), Medium Extension (89), and Long (144) period moving averages • Welles Wilder Smoothing: Uses the original Welles Wilder moving average formula for smoother, less reactive trend lines • Flexible Coloring Options: Choose between price-based coloring or MA crossover-based coloring • Visual Trend Zones: Shaded areas between moving averages help identify trend strength and direction • Customizable: Adjust all periods, colors, and the source timeframe to fit your trading style IDEAL FOR: • Tick chart traders who want to see higher timeframe trends • Day traders needing multi-timeframe analysis on a single chart • Traders using range bars, Renko, or other non-time-based charts • Anyone wanting to filter trades based on higher timeframe moving average trends HOW TO USE: 1. Add the indicator to your chart 2. Set your preferred timeframe in the settings (default is 5 minutes) 3. Adjust MA periods and colors to your preference 4. Use the MA crossovers and price position relative to the MAs to identify trend direction and potential entry/exit points The Welles Wilder MA is a type of exponential moving average that provides smooth trend-following capabilities with less whipsaw than traditional moving averages.
Pine Script® インジケーター
Elevate_Trading_LLCの投稿
1
ColorFlow EMA📊 ColorFlow EMA — Trend Flow & Bias Indicator 🔹 What This Indicator Does ColorFlow EMA is a clean, visual trend-flow indicator designed to show directional bias and momentum state at a glance. It uses two exponential moving averages: Fast EMA (default: 10) Slow EMA (default: 20) The area between the EMAs is color-shaded to clearly display whether price is in a bullish or bearish flow. 🎨 Visual Logic 🔵 Blue shading → Bullish flow (Fast EMA above Slow EMA) 🔴 Red shading → Bearish flow (Fast EMA below Slow EMA) Optional crossover markers can be enabled for visual confirmation when EMA alignment changes. 🧠 How to Use ColorFlow EMA This indicator is not a standalone strategy and is not intended for signal-chasing. It is best used as a context and bias filter alongside: Price action Market structure (HH/HL, LH/LL) Support & resistance or supply & demand zones Pullbacks vs premium/discount Typical use cases: Favor longs when the flow is blue Favor shorts when the flow is red Avoid forcing trades when EMAs are tangled or flat Wait for pullbacks into structure instead of chasing price ⚠️ Important Notes EMA crossovers alone do not guarantee profitable trades Market conditions, structure, and location always matter Works best in trending or transitioning markets Not designed for ranging/choppy environments without context ⚙️ Customization EMA lengths can be adjusted Crossover markers can be toggled on/off Designed to stay visually clean and uncluttered 🎯 Who This Indicator Is For Traders who prioritize price action over indicators Intraday traders (forex, indices, ETFs, stocks) Traders who want clarity, not noise 📝 Final Thought ColorFlow EMA answers one simple question: “Should I be looking for longs or shorts here?” Use it for bias, not prediction.
Pine Script® インジケーター
NaturalBelleの投稿
3 EMA with Alerts 2025This indicator plots three key EMAs (20, 50, and 200) directly on the chart, making it easy to track short-, medium-, and long-term trends. A color-coded table is displayed in the top-right corner for quick reference. The script also includes smart alerts that trigger only when the state changes: • 🔵 EMA 20 crossing above EMA 50 & EMA 200 → Bullish signal • 🔴 EMA 20 crossing below EMA 50 & EMA 200 → Bearish signal This tool is designed for traders who want clean visuals, reliable alerts, and simplified trend recognition in 2025 markets.
Pine Script® インジケーター
Arko2020の投稿
Institutional Trend & Liquidity Nexus [Pro]Concept & Methodology The core philosophy of this script is "Confluence Filtering." It does not simply overlay indicators; it forces them to work together. A signal is only valid if it aligns with the macro trend and liquidity structure. ​Key Components: ​Trend Engine: Uses a combination of EMA (7/21) for fast entries and SMA (200) for macro trend direction. The script includes a logical filter that invalidates Buy signals below the SMA 200 to prevent counter-trend trading. ​Liquidity Imbalance (FVG): Automatically detects Fair Value Gaps to identify areas where price is likely to react. Unlike standalone FVG scripts, this module is visually optimized to show support/resistance zones without obscuring price action. ​Smart Confluence Zones (Originality): ​The script calculates a background "State" based on multiple factors. ​Bullish Zone (Green Background): Triggers ONLY when Price > SMA 200 AND RSI > 50 AND Price > Baseline EMA. ​Bearish Zone (Red Background): Triggers ONLY when Price < SMA 200 AND RSI < 50 AND Price < Baseline EMA. ​This visual aid helps traders stay out of choppy markets and only focus when momentum and trend are aligned. ​█ How to Use ​Entry: Wait for a "Triangle" signal (Buy/Sell). ​Validation: Check the Background Color. Is it highlighting a Confluence Zone? ​Example: A Buy Signal inside a Green Confluence Zone is a high-probability setup. ​Example: A Buy Signal with no background color suggests weak momentum and should be taken with caution. ​Targets: Use the plotted FVG boxes as potential take-profit targets or re-entry zones.
Pine Script® インジケーター
THF84の投稿
Adaptive Trend SelectorThe Adaptive Trend Selector is a comprehensive trend-following tool designed to automatically identify the optimal moving average crossover strategy. It features adjustable parameters and an integrated backtester that delivers institutional-grade insights into the recommended strategy. The model continuously adapts to new data in real time by evaluating multiple moving average combinations, determining the best performing lengths, and presenting the backtest results in a clear, color-coded table that benchmarks performance against the buy-and-hold strategy. At its core, the model systematically backtests a wide range of moving average combinations to identify the configuration that maximizes the selected optimization metric. Users can choose to optimize for absolute returns or risk-adjusted returns using the Sharpe, Sortino, or Calmar ratios. Alternatively, users can enable manual optimization to test custom fast and slow moving average lengths and view the corresponding backtest results. The label displays the Compounded Annual Growth Rate (CAGR) of the strategy, with the buy-and-hold CAGR in parentheses for comparison. The table presents the backtest results based on the fast and slow lengths displayed at the top: Sharpe = CAGR per unit of standard deviation. Sortino = CAGR per unit of downside deviation. Calmar = CAGR relative to maximum drawdown. Max DD = Largest peak-to-trough decline in value. Beta (β) = Return sensitivity relative to buy-and-hold. Alpha (α) = Excess annualized risk-adjusted returns. Win Rate = Ratio of profitable trades to total trades. Profit Factor = Total gross profit per unit of losses. Expectancy = Average expected return per trade. Trades/Year = Average number of trades per year. This indicator is designed with flexibility in mind, enabling users to specify the start date of the backtesting period and the preferred moving average strategy. Supported strategies include the Exponential Moving Average (EMA), Simple Moving Average (SMA), Wilder’s Moving Average (RMA), Weighted Moving Average (WMA), and Volume-Weighted Moving Average (VWMA). To minimize overfitting, users can define constraints such as a minimum and maximum number of trades per year, as well as an optional optimization margin that prioritizes longer, more robust combinations by requiring shorter-length strategies to exceed this threshold. The table follows an intuitive color logic that enables quick performance comparison against buy-and-hold (B&H): Sharpe = Green indicates better than B&H, while red indicates worse. Sortino = Green indicates better than B&H, while red indicates worse. Calmar = Green indicates better than B&H, while red indicates worse. Max DD = Green indicates better than B&H, while red indicates worse. Beta (β) = Green indicates better than B&H, while red indicates worse. Alpha (α) = Green indicates above 0%, while red indicates below 0%. Win Rate = Green indicates above 50%, while red indicates below 50%. Profit Factor = Green indicates above 2, while red indicates below 1. Expectancy = Green indicates above 0%, while red indicates below 0%. In summary, the Adaptive Trend Selector is a powerful tool designed to help investors make data-driven decisions when selecting moving average crossover strategies. By optimizing for risk-adjusted returns, investors can confidently identify the best lengths using institutional-grade metrics. While results are based on the selected historical period, users should be mindful of potential overfitting, as past results may not persist under future market conditions. Since the model recalibrates to incorporate new data, the recommended lengths may evolve over time.
Pine Script® インジケーター
QuantitativeAlphaの投稿
3
TGFA Flexible Alerts Multi-MA CrossoversTGFA Flexible Alerts, Multi-MA Crossovers Description Flexible MA crossovers with BUY/SELL alerts, customizable candle colors, and an info box for ATR/volatility insights. Supports EMA/SMA/HMA/VWAP on any chart. Overview TGFA Flexible Alerts is a versatile Pine Script indicator for traders seeking customizable moving average (MA) crossovers, visual signals, and quick-reference metrics. It overlays crossover lines (e.g., fast EMA over slow SMA), generates BUY/SELL labels and alerts, colors candles based on themes, and includes an optional info box with ATR bands, support/resistance, and trend projections. Built for any symbol and timeframe (optimized for 1H intraday), it auto-detects Heikin Ashi charts and handles mixed MA types like responsive HMA with lagging EMAs. All logic uses built-in TA functions for reliability—no repainting on confirmed bars. Key Features MA Crossover Engine: Configurable lines (EMA, SMA, HMA, VWAP) with dynamic colors (HMA tints green/red based on slope). Enable/disable via inputs. Invert Signals Toggle: Flips BUY/SELL logic for mixed MA setups (e.g., HMA as fast line over EMA). Reasoning: Traditional crossovers assume a fast line (low lag) crossing above a slow line (high lag) for buys. HMA's hull design makes it ultra-responsive, so it may "lead" too aggressively—causing premature signals. Inverting aligns it with user intuition (e.g., HMA dipping below then recovering signals strength), reducing false positives in trending markets. Test on your pairs! Visual Alerts: BUY/SELL labels at crossover price (with optional price display and offset adjustment). Single MA Overlays: Independent plots for EMA/SMA/HMA/VWAP (length 0 to hide). Info Box: Real-time table with current price, ±1/2 ATR bands, median price (over lookback), trend (SMA50 slope), volatility % (ATR normalized), support/resistance (recent highs/lows), and reversal projections (tied to SMA50 pivot for up/down bias). Candle Coloring: 20+ themes (dark/light canvases) for bull/bear/reversal/low-volume bars—e.g., Emerald Blaze greens uptrends, dims on low vol. Toggle off for no changes. Chart Source Flexibility: Auto-switches to Heikin Ashi if detected; manual override for Regular/HA. Alerts fire on crossovers/crossunders (custom messages with ticker/interval). Open-source for forking. How to Use Add to Chart: Search in TradingView's public library, apply to any symbol (e.g., stocks, forex). Best on 1H for intraday, but works on daily/weekly too. Setup Crossovers: Choose Line 1/2 types/lengths (e.g., HMA 9 over SMA 20). Enable "Invert Signals" if using HMA—prevents lag mismatches in volatile assets. Alerts & Labels: Toggle labels for visuals; set TradingView alerts on "Buy"/"Sell" conditions. Use offset for crowded charts. Info Box Insights: Enable for quick scans—e.g., enter long near support if trend is bullish and price > median. Adjust ATR length (default 14) for sensitivity. Candle Themes: Pick a scheme (e.g., Neon Pulse for dark mode); it overrides bar colors without altering data. Customization Tip: For HMA-heavy setups, invert + short lengths (5-9) catch turns early; pair with volume filter in alerts. Limitations & Disclaimers - Designed for overlay on price charts; may overlap in tight ranges—adjust transparency via styles. HMA can repaint intra-bar; signals confirm on close. Not back tested for all assets—validate with strategy tester. Info box projections use SMA(50) as a trend pivot (same for up/down as reference); customize via code for advanced calcs. Candle colors are cosmetic only. This is an analysis tool, not advice. Trading involves risk; combine with fundamentals/news. Past performance isn't indicative of future results. No liability for losses. I'm still a newbie, so feedback encouraged! Thank you!! ThisGirl
Pine Script® インジケーター
thisgirlの投稿
Multi SMA + Golden/Death + Heatmap + BB**Multi SMA (50/100/200) + Golden/Death + Candle Heatmap + BB** A practical trend toolkit that blends classic 50/100/200 SMAs with clear crossover labels, special 🚀 Golden / 💀 Death Cross markers, and a readable candle heatmap based on a dynamic regression midline and volatility bands. Optional Bollinger Bands are included for context. * See trend direction at a glance with SMAs. * Get minimal, de-cluttered labels on important crosses (50↔100, 50↔200, 100↔200). * Highlight big regime shifts with special Golden/Death tags. * Read momentum and volatility with the candle heatmap. * Add Bollinger Bands if you want classic mean-reversion context. Designed to be lightweight, non-repainting on confirmed bars, and flexible across timeframes. # What This Indicator Does (plain English) * **Tracks trend** using **SMA 50/100/200** and lets you optionally compute each SMA on a higher or different timeframe (HTF-safe, no lookahead). * **Prints labels** when SMAs cross each other (up or down). You can force signals only after bar close to avoid repaint. * **Marks Golden/Death Crosses** (50 over/under 200) with special labels so major regime changes stand out. * **Colors candles** with a **heatmap** built from a regression midline and volatility bands—greenish above, reddish below, with a smooth gradient. * **Optionally shows Bollinger Bands** (basis SMA + stdev bands) and fills the area between them. * **Includes alert conditions** for Golden and Death Cross so you can automate notifications. --- # Settings — Simple Explanations ## Source * **Source**: Price source used to calculate SMAs and Bollinger basis. Default: `close`. ## SMA 50 * **Show 50**: Turn the SMA(50) line on/off. * **Length 50**: How many bars to average. Lower = faster but noisier. * **Color 50** / **Width 50**: Visual style. * **Timeframe 50**: Optional alternate timeframe for SMA(50). Leave empty to use the chart timeframe. ## SMA 100 * **Show 100**: Turn the SMA(100) line on/off. * **Length 100**: Bars used for the mid-term trend. * **Color 100** / **Width 100**: Visual style. * **Timeframe 100**: Optional alternate timeframe for SMA(100). ## SMA 200 * **Show 200**: Turn the SMA(200) line on/off. * **Length 200**: Bars used for the long-term trend. * **Color 200** / **Width 200**: Visual style. * **Timeframe 200**: Optional alternate timeframe for SMA(200). ## Signals (crossover labels) * **Show crossover signals**: Prints triangle labels on SMA crosses (50↔100, 50↔200, 100↔200). * **Wait for bar close (confirmed)**: If ON, signals only appear after the candle closes (reduces repaint). * **Min bars between same-pair signals**: Minimum spacing to avoid duplicate labels from the same SMA pair too often. * **Trend filter (buy: 50>100>200, sell: 50<100<200)**: Only show bullish labels when SMAs are stacked bullish (50 above 100 above 200), and only show bearish labels when stacked bearish. ### Label Offset * **Offset mode**: Choose how to push labels away from price: * **Percent**: Offset is a % of price. * **ATR x**: Offset is ATR(14) × multiplier. * **Percent of price (%)**: Used when mode = Percent. * **ATR multiplier (for ‘ATR x’)**: Used when mode = ATR x. ### Label Colors * **Bull color** / **Bear color**: Background of triangle labels. * **Bull label text color** / **Bear label text color**: Text color inside the triangles. ## Golden / Death Cross * **Show 🚀 Golden Cross (50↑200)**: Show a special “Golden” label when SMA50 crosses above SMA200. * **Golden label color** / **Golden text color**: Styling for Golden label. * **Show 💀 Death Cross (50↓200)**: Show a special “Death” label when SMA50 crosses below SMA200. * **Death label color** / **Death text color**: Styling for Death label. ## Candle Heatmap * **Enable heatmap candle colors**: Turns the heatmap on/off. * **Length**: Lookback for the regression midline and volatility measure. * **Deviation Multiplier**: Band width around the midline (bigger = wider). * **Volatility basis**: * **RMA Range** (smoothed high-low range) * **Stdev** (standard deviation of close) * **Upper/Middle/Lower color**: Gradient colors for the heatmap. * **Heatmap transparency (0..100)**: 0 = solid, 100 = invisible. * **Force override base candles**: Repaint base candles so heatmap stays visible even if your chart has custom coloring. ## Bollinger Bands (optional) * **Show Bollinger Bands**: Toggle the overlay on/off. * **Length**: Basis SMA length. * **StdDev Multiplier**: Distance of bands from the basis in standard deviations. * **Basis color** / **Band color**: Line colors for basis and bands. * **Bands fill transparency**: Opacity of the fill between upper/lower bands. --- # Features & How It Works ## 1) HTF-Safe SMAs Each SMA can be calculated on the chart timeframe or a higher/different timeframe you choose. The script pulls HTF values **without lookahead** (non-repainting on confirmed bars). ## 2) Crossover Labels (Three Pairs) * **50↔100**, **50↔200**, **100↔200**: * **Triangle Up** label when the first SMA crosses **above** the second. * **Triangle Down** label when it crosses **below**. * Optional **Trend Filter** ensures only signals aligned with the overall stack (50>100>200 for bullish, 50<100<200 for bearish). * **Debounce** spacing avoids repeated labels for the same pair too close together. ## 3) Golden / Death Cross Highlights * **🚀 Golden Cross**: SMA50 crosses **above** SMA200 (often a longer-term bullish regime shift). * **💀 Death Cross**: SMA50 crosses **below** SMA200 (often a longer-term bearish regime shift). * Separate styling so they stand out from regular cross labels. ## 4) Candle Heatmap * Builds a **regression midline** with **volatility bands**; colors candles by their position inside that channel. * Smooth gradient: lower side → reddish, mid → yellowish, upper side → greenish. * Helps you see momentum and “where price sits” relative to a dynamic channel. ## 5) Bollinger Bands (Optional) * Classic **basis SMA** ± **StdDev** bands. * Light visual context for mean-reversion and volatility expansion. ## 6) Alerts * **Golden Cross**: `🚀 GOLDEN CROSS: SMA 50 crossed ABOVE SMA 200` * **Death Cross**: `💀 DEATH CROSS: SMA 50 crossed BELOW SMA 200` Add these to your alerts to get notified automatically. --- # Tips & Notes * For fewer false positives, keep **“Wait for bar close”** ON, especially on lower timeframes. * Use the **Trend Filter** to align signals with the broader stack and cut noise. * For HTF context, set **Timeframe 50/100/200** to higher frames (e.g., H1/H4/D) while you trade on a lower frame. * Heatmap “Length” and “Deviation Multiplier” control smoothness and channel width—tune for your asset’s volatility.
Pine Script® インジケーター
a_jabbaroffの投稿
Advanced DMA Pattern Detection SystemAdvanced DMA Pattern Detection System with Smart Intelligence Professional-grade moving average indicator that combines traditional DMA analysis with advanced pattern recognition and probabilistic forecasting. Core Features: 6 Key DMAs (5, 10, 20, 50, 100, 200) with descriptive labels showing trading purpose Advanced Pattern Recognition - Detects Institutional Accumulation, Distribution Phases, Bull/Bear Transitions, and Choppy Markets Probability Engine - Assigns confidence scores (0-100%) with Low/Medium/High classifications Historical Validation - Tracks success rate of last 20 pattern signals for real performance data Smart Alert System - Only triggers on significant pattern changes (20%+ probability shifts) Dual Display System: Movable Information Table - Shows current pattern, probability, confidence level, success rate, and recommended action Chart Alerts & Background Colors - Visual confirmation of high-confidence setups (80%+ patterns) Traditional DMA Labels - Clear identification of each average's trading significance Complete Customization: Master on/off controls for entire system Individual toggles for all components (DMAs, table, alerts, colors) Adjustable alert sensitivity (Conservative/Medium/Aggressive) 6 table positions to fit any chart layout Perfect For: Swing traders, position traders, and anyone wanting systematic trend analysis with quantified probability scores rather than subjective interpretation. Bottom Line: Transforms basic moving averages into an intelligent trading system that tells you exactly what the market structure means and what to do about it.
Pine Script® インジケーター
Sakett_Guptaaの投稿
TRAPPER Volume Trigger + SMAs + Buy/Sell SplitThe TRAPPER TRIGGER is a precision-based volume spike indicator designed for intraday traders, scalpers, and swing traders who rely on key volume activity to anticipate sharp market movements. It operates on volume delta logic, detecting disproportionate buying or selling activity that signifies potential market reversals or breakouts. How It Works: Volume Spike Logic (Delta-Based) The script calculates a dynamic volume threshold using a moving average of historical volume data. It identifies a delta spike by comparing current volume against this threshold—when volume exceeds it significantly, it suggests abnormal activity. If the candle closes higher than it opens (bullish), the script registers it as a Buy Spike ⚖️. If the candle closes lower than it opens (bearish), it marks a Sell Spike 🏁. These are not based on the candle’s body size but the volume differential (delta) between buy/sell pressure inferred from candle direction. Trigger Labels Only the most recent buy/sell spike is labeled for clarity, avoiding clutter. Labels are color-coded to match the candle body (e.g., bright green for bullish, magenta for bearish). Label style: ⚖️ for Buy Spikes, 🏁 for Sell Spikes. SMA Suite (Fully Customizable): Six SMAs: 5 (yellow), 10 (blue), 20 (green), 50 (orange), 100 (red), 200 (white). Each can be toggled and customized in the script settings for visibility and styling. Key Benefits Clean, minimalistic charting — focuses only on high-probability events. Provides delta-driven insights without requiring access to full L2 order book data. Works across any timeframe — logic recalculates and resets zones per timeframe switch. Designed for sniper-style entries—ideal for traders who prefer minimal noise and maximum signal clarity. Easily extendable with SR zones, AVWAP, liquidity levels, or alerts if desired in future updates. Who It’s For Scalpers and intraday traders looking for clean triggers. Swing traders wanting confirmation of institutional moves. Volume profile enthusiasts who need a trigger alert system. Developers who want a base volume framework to build more advanced tools on. Disclaimer This script is provided as-is and is intended for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any security or asset. All trading involves risk. Users should perform their own due diligence and consult with a qualified financial advisor before making any trading decisions. The author of this script assumes no liability for any losses or damages arising from the use or reliance on this tool. By using this script, you acknowledge and agree that you are solely responsible for your own trading decisions and outcomes.
Pine Script® インジケーター
RAMS-offthechartsの投稿
4
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® インジケーター
mr_uponlyの投稿