Começar

Candlestick analysis

TriAnchor Elastic Reversion US Market SPY and QQQ adaptedSummary in one paragraph Mean-reversion strategy for liquid ETFs, index futures, large-cap equities, and major crypto on intraday to daily timeframes. It waits for three anchored VWAP stretches to become statistically extreme, aligns with bar-shape and breadth, and fades the move. Originality comes from fusing daily, weekly, and monthly AVWAP distances into a single ATR-normalized energy percentile, then gating with a robust Z-score and a session-safe gap filter. Scope and intent • Markets: SPY QQQ IWM NDX large caps liquid futures liquid crypto • Timeframes: 5 min to 1 day • Default demo: SPY on 60 min • Purpose: fade stretched moves only when multi-anchor context and breadth agree • Limits: strategy uses standard candles for signals and orders only Originality and usefulness • Unique fusion: tri-anchor AVWAP energy percentile plus robust Z of close plus shape-in-range gate plus breadth Z of SPY QQQ IWM • Failure mode addressed: chasing extended moves and fading during index-wide thrusts • Testability: each component is an input and visible in orders list via L and S tags • Portable yardstick: distances are ATR-normalized so thresholds transfer across symbols • Open source: method and implementation are disclosed for community review Method overview in plain language Base measures • Range basis: ATR(length = atr_len) as the normalization unit • Return basis: not used directly; we use rank statistics for stability Components • Tri-Anchor Energy: squared distances of price from daily, weekly, monthly AVWAPs, each divided by ATR, then summed and ranked to a percentile over base_len • Robust Z of Close: median and MAD based Z to avoid outliers • Shape Gate: position of close inside bar range to require capitulation for longs and exhaustion for shorts • Breadth Gate: average robust Z of SPY QQQ IWM to avoid fading when the tape is one-sided • Gap Shock: skip signals after large session gaps Fusion rule • All required gates must be true: Energy ≥ energy_trig_prc, |Robust Z| ≥ z_trig, Shape satisfied, Breadth confirmed, Gap filter clear Signal rule • Long: energy extreme, Z negative beyond threshold, close near bar low, breadth Z ≤ −breadth_z_ok • Short: energy extreme, Z positive beyond threshold, close near bar high, breadth Z ≥ +breadth_z_ok What you will see on the chart • Standard strategy arrows for entries and exits • Optional short-side brackets: ATR stop and ATR take profit if enabled Inputs with guidance Setup • Base length: window for percentile ranks and medians. Typical 40 to 80. Longer smooths, shorter reacts. • ATR length: normalization unit. Typical 10 to 20. Higher reduces noise. • VWAP band stdev: volatility bands for anchors. Typical 2.0 to 4.0. • Robust Z window: 40 to 100. Larger for stability. • Robust Z entry magnitude: 1.2 to 2.2. Higher means stronger extremes only. • Energy percentile trigger: 90 to 99.5. Higher limits signals to rare stretches. • Bar close in range gate long: 0.05 to 0.25. Larger requires deeper capitulation for longs. Regime and Breadth • Use breadth gate: on when trading indices or broad ETFs. • Breadth Z confirm magnitude: 0.8 to 1.8. Higher avoids fighting thrusts. • Gap shock percent: 1.0 to 5.0. Larger allows more gaps to trade. Risk — Short only • Enable short SL TP: on to bracket shorts. • Short ATR stop mult: 1.0 to 3.0. • Short ATR take profit mult: 1.0 to 6.0. Properties visible in this publication • Initial capital: 25000USD • Default order size: Percent of total equity 3% • Pyramiding: 0 • Commission: 0.03 percent • Slippage: 5 ticks • Process orders on close: OFF • Bar magnifier: OFF • Recalculate after order is filled: OFF • Calc on every tick: OFF • request.security lookahead off where used Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • Fills and slippage vary by venue • Shapes can move during bar formation and settle on close • Standard candles only for strategies Honest limitations and failure modes • Economic releases or very thin liquidity can overwhelm mean-reversion logic • Heavy gap regimes may require larger gap filter or TR-based tuning • Very quiet regimes reduce signal contrast; extend windows or raise thresholds Open source reuse and credits • None Strategy notice Orders are simulated by TradingView on standard candles. request.security uses lookahead off where applicable. Non-standard charts are not supported for execution. Entries and exits • Entry logic: as in Signal rule above • Exit logic: short side optional ATR stop and ATR take profit via brackets; long side closes on opposite setup • Risk model: ATR-based brackets on shorts when enabled • Tie handling: stop first when both could be touched inside one bar Dataset and sample size • Test across your visible history. For robust inference prefer 100 plus trades.
Estratégia Pine Script®
por exlux
FluxGate Daily Swing StrategySummary in one paragraph FluxGate treats long and short as different ecosystems. It runs two independent engines so the long side can be bold when the tape rewards upside persistence while the short side can stay selective when downside is messy. The core reads three directional drivers from price geometry then removes overlap before gating with clean path checks. The complementary risk module anchors stop distance to a higher timeframe ATR so a unit means the same thing on SPY and BTC. It can add take profit breakeven and an ATR trail that only activates after the trade earns it. If a stop is hit the strategy can re enter in the same direction on the next bar with a daily retry cap that you control. Add it to a clean chart. Use defaults to see the intended behavior. For conservative workflows evaluate on bar close. Scope and intent • Markets. Large cap equities and liquid ETFs major FX pairs US index futures and liquid crypto pairs • Timeframes. From one minute to daily • Default demo in this publication. SPY on one day timeframe • Purpose. Reduce false starts without missing sustained trends by fusing independent drivers and suppressing activity when the path is noisy • Limits. This is a strategy. Orders are simulated on standard candles. Non standard chart types are not supported for execution Originality and usefulness • Unique fusion. FluxGate extracts three drivers that look at price from different angles. Direction measures slope of a smoothed guide and scales by realized volatility so a point of slope does not mean a different thing on different symbols. Persistence looks at short sign agreement to reward series of closes that keep direction. Curvature measures the second difference of a local fit to wake up during convex pushes. These three are then orthonormalized so a strong reading in one does not double count through another. • Gates that matter. Efficiency ratio prefers direct paths over treadmills. Entropy turns up versus down frequency into an information read. Light fractal cohesion punishes wrinkly paths. Together they slow the system in chop and allow it to open up when the path is clean. • Separate long and short engines. Threshold tilts adapt to the skew of score excursions. That lets long engage earlier when upside distribution supports it and keeps short cautious where downside surprise and venue frictions are common. • Practical risk behavior. Stops are ATR anchored on a higher timeframe so the unit is portable. Take profit is expressed in R so two R means the same concept across symbols. Breakeven and trailing only activate after a chosen R so early noise does not squeeze a good entry. Re entry after stop lets the system try again without you babysitting the chart. • Testability. Every major window and the aggression controls live in Inputs. There is no hidden magic number. Method overview in plain language Base measures • Return basis. Natural log of close over prior close for stability and easy aggregation through time. Realized volatility is the standard deviation of returns over a moving window. • Range basis for risk. ATR computed on a higher timeframe anchor such as day week or month. That anchor is steady across venues and avoids chasing chart specific quirks. Components • Directional intensity. Use an EMA of typical price as a guide. Take the day to day slope as raw direction. Divide by realized volatility to get a unit free measure. Soft clip to keep outliers from dominating. • Persistence. Encode whether each bar closed up or down. Measure short sign agreement so a string of higher closes scores better than a jittery sequence. This favors push continuity without guessing tops or bottoms. • Curvature. Fit a short linear regression and compute the second difference of the fitted series. Strong curvature flags acceleration that slope alone may miss. • Efficiency gate. Compare net move to path length over a gate window. Values near one indicate direct paths. Values near zero indicate treadmill behavior. • Entropy gate. Convert up versus down frequency into a probability of direction. High entropy means coin toss. The gate narrows there. • Fractal cohesion. A light read of path wrinkliness relative to span. Lower cohesion reduces the urge to act. • Phase assist. Map price inside a recent channel to a small signed bias that grows with confidence. This helps entries lean toward the right half of the channel without becoming a breakout rule. • Shock control. Compare short volatility to long volatility. When short term volatility spikes the shock gate temporarily damps activity so the system waits for pressure to normalize. Fusion rule • Normalize the three drivers after removing overlap • Blend with weights that adapt to your aggression input • Multiply by the gates to respect path quality • Smooth just enough to avoid jitter while keeping timing responsive • Compute an adaptive mean and deviation of the score and set separate long and short thresholds with a small tilt informed by skew sign • The result is one long score and one short score that can cross their thresholds at different times for the same tape which is a feature not a bug Signal rule • A long suggestion appears when the long score crosses above its long threshold while all gates are active • A short suggestion appears when the short score crosses below its short threshold while all gates are active • If any required gate is missing the state is wait • When a position is open the status is in long or in short until the complementary risk engine exits or your entry mode closes and flips Inputs with guidance Setup Long • Base length Long. Master window for the long engine. Typical range twenty four to eighty. Raising it improves selectivity and reduces trade count. Lowering it reacts faster but can increase noise • Aggression Long. Zero to one. Higher values make thresholds more permissive and shorten smoothing Setup Short • Base length Short. Master window for the short engine. Typical range twenty eight to ninety six • Aggression Short. Zero to one. Lower values keep shorts conservative which is often useful on upward drifting symbols Entries and UI • Entry mode. Both or Long only or Short only Complementary risk engine • Enable risk engine. Turns on bracket exits while keeping your signal logic untouched • ATR anchor timeframe. Day Week or Month. This sets the structural unit of stop distance • ATR length. Default fourteen • Stop multiple. Default one point five times the anchor ATR • Use take profit. On by default • Take profit in R. Default two R • Breakeven trigger in R. Default one R Usage recipes Intraday trend focus • Entry mode Both • ATR anchor Week • Aggression Long zero point five Aggression Short zero point three • Stop multiple one point five Take profit two R • Expect fewer trades that stick to directional pushes and skip treadmill noise Intraday mean reversion focus • Session windows optional if you add them in your copy • ATR anchor Day • Lower aggression both sides • Breakeven later and trailing later so the first bounce has room • This favors fade entries that still convert into trends when the path stays clean Swing continuation • Signal timeframe four hours or one day • Confirm timeframe one day if you choose to include bias • ATR anchor Week or Month • Larger base windows and a steady two R target • This accepts fewer entries and aims for larger holds Properties visible in this publication • Initial capital 25.000 • Base currency USD • Default order size percent of equity value three - 3% of the total capital • Pyramiding zero • Commission zero point zero three percent - 0.03% of total capital • Slippage five ticks • Process orders on close off • Recalculate after order is filled off • Calc on every tick off • Bar magnifier off • Any request security calls use lookahead off everywhere Realism and responsible publication • No performance promises. Past results never guarantee future outcomes • Fills and slippage vary by venue and feed • Strategies run on standard candles only • Shapes can update while a bar is forming and settle on close • Keep risk per trade sensible. Around one percent is typical for study. Above five to ten percent is rarely sustainable Honest limitations and failure modes • Sudden news and thin liquidity can break assumptions behind entropy and cohesion reads • Gap heavy symbols often behave better with a True Range basis for risk than a simple range • Very quiet regimes can reduce score contrast. Consider longer windows or higher thresholds when markets sleep • Session windows follow the exchange time of the chart if you add them • If stop and target can both be inside a single bar this strategy prefers stop first to keep accounting conservative Open source reuse and credits • No reused open source beyond public domain building blocks such as ATR EMA and linear regression concepts Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on history and in simulation with realistic costs
Estratégia Pine Script®
por exlux
Money Line ApproximationSimilar to Ivan's money line minus the Macro data. How to Interpret and Use It Bullish Setup : Green line + buy signal = Potential entry (e.g., buy on pullback to the line). Expect upward momentum if RSI stays below 75. Bearish Setup : Red line + sell signal = Potential exit or short (e.g., sell near the line). Watch for RSI above 25 confirming downside. Neutral Periods : Yellow line indicates indecision—best to wait for a flip rather than force trades. Strengths : Simple, visual, and filtered against extremes; works well in trending markets by blending EMAs and using RSI to avoid overbought buys or oversold sells.
Indicador Pine Script®
por ralis24
Wick Bias - by TenAMTraderWick Bias - by TenAMTrader Wick Bias helps traders quickly visualize market pressure by analyzing candle wicks and bodies over a user-defined number of bars. By comparing top and bottom wicks, the indicator identifies whether buying or selling pressure has been dominant, providing a clear Indicator Bias signal (Bullish, Bearish, or Neutral). Key Features: Shows Top Wicks %, Bottom Wicks %, and optional Body % for recent candles. Highlights Indicator Bias to indicate short-term market trends. Fully customizable colors for table rows and bias labels. Option to show or hide body percentage. Alerts trigger on bias flips, with optional on-chart labels. Table can be placed in any chart corner. Updates in real-time with each new bar. Recommended Use: Ideal for intraday and swing traders looking for a quick visual cue of short-term market momentum. Can be combined with other technical analysis tools to confirm trade setups or potential reversals. Disclaimer / Legal Notice: This indicator is for educational and informational purposes only. It is not financial advice and should not be used as the sole basis for trading decisions. Past performance does not guarantee future results. Users are responsible for their own trades. The developer is not liable for any losses or damages resulting from the use of this indicator.
Indicador Pine Script®
por TenAM_Trader
Realtime RenkoI've been working on real-time renko for a while as a coding challenge. The interesting problem here is building renko bricks that form based on incoming tick data rather than waiting for bar closes. Every tick that comes through gets processed immediately, and when price moves enough to complete a brick, that brick closes and a new one opens right then. It's just neat because you can run it and it updates as you'd expect with renko, forming bricks based purely on price movement happening in real time rather than waiting for arbitrary time intervals to pass. The three brick sizing methods give you flexibility in how you define "enough movement" to form a new brick. Traditional renko uses a fixed price range, so if you set it to 10 ticks, every brick represents exactly 10 ticks of movement. This works well for instruments with stable tick sizes and predictable volatility. ATR-based sizing calculates the average true range once at startup using a weighted average across all historical bars, then divides that by your brick value input. If you want bricks that are one full ATR in size, you'd use a brick value of 1. If you want half-ATR bricks, use 2. This inverted relationship exists because the calculation is ATR divided by your input, which lets you work with multiples and fractions intuitively. Percentage-based sizing makes each brick a fixed percentage move from the previous brick's close, which automatically scales with price level and works well for instruments that move proportionally rather than in absolute tick increments. The best part about this implementation is how it uses varip for state management. When you first load the indicator, there's no history at all. Everything starts fresh from the moment you add it to your chart because varip variables only exist in real-time. This means you're watching actual renko bricks form from real tick data as it arrives. The indicator builds its own internal history as it runs, storing up to 250 completed bricks in memory, but that history only exists for the current session. Refresh the page or reload the indicator and it starts over from scratch. The visual implementation uses boxes for brick bodies and lines for wicks, drawn at offset bar indices to create the appearance of a continuous renko chart in the indicator pane. Each brick occupies two bar index positions horizontally, which spaces them out and makes the chart readable. The current brick updates in real time as new ticks arrive, with its high, low, and close values adjusting continuously until it reaches the threshold to close and become finalized. Once a brick closes, it gets pushed into the history array and a new brick opens at the closing level of the previous one. What makes this especially useful for debugging and analysis are the hover tooltips on each brick. Clicking on any brick brings up information showing when it opened with millisecond precision, how long it took to form from open to close, its internal bar index within the renko sequence, and the brick size being used. That time delta measurement is particularly valuable because it reveals the pace of price movement. A brick that forms in five seconds indicates very different market conditions than one that takes three minutes, even though both bricks represent the same amount of price movement. You can spot acceleration and deceleration in trend development by watching how quickly consecutive bricks form. The pine logs that generate when bricks close serve as breadcrumbs back to the main chart. Every time a brick finalizes, the indicator writes a log entry with the same information shown in the tooltip. You can click that log entry and TradingView jumps your main chart to the exact timestamp when that brick closed. This lets you correlate renko brick formation with what was happening on the time-based chart, which is critical for understanding context. A brick that closed during a major news announcement or at a key support level tells a different story than one that closed during quiet drift, and the logs make it trivial to investigate those situations. The internal bar indexing system maintains a separate count from the chart's bar_index, giving each renko brick its own sequential number starting from when the indicator begins running. This makes it easy to reference specific bricks in your analysis or when discussing patterns with others. The internal index increments only when a brick closes, so it's a pure measure of how many bricks have formed regardless of how much chart time has passed. You can match these indices between the visual bricks and the log entries, which helps when you're trying to track down the details of a specific brick that caught your attention. Brick overshoot handling ensures that when price blows through the threshold level instead of just barely touching it, the brick closes at the threshold and the excess movement carries over to the next brick. This prevents gaps in the renko sequence and maintains the integrity of the brick sizing. If price shoots up through your bullish threshold and keeps going, the current brick closes at exactly the threshold level and the new brick opens there with the overshoot already baked into its initial high. Without this logic, you'd get renko bricks with irregular sizes whenever price moved aggressively, which would undermine the whole point of using fixed-range bricks. The timezone setting lets you adjust timestamps to your local time or whatever reference you prefer, which matters when you're analyzing logs or comparing brick formation times across different sessions. The time delta formatter converts raw milliseconds into human-readable strings showing days, hours, minutes, and seconds with fractional precision. This makes it immediately clear whether a brick took 12.3 seconds or 2 minutes and 15 seconds to form, without having to parse millisecond values mentally. This is the script version that will eventually be integrated into my real-time candles library. The library version had an issue with tooltips not displaying correctly, which this implementation fixes by using a different approach to label creation and positioning. Running it as a standalone indicator also gives you more control over the visual settings and makes it easier to experiment with different brick sizing methods without affecting other tools that might be using the library version. What this really demonstrates is that real-time indicators in Pine Script require thinking about state management and tick processing differently than historical indicators. Most indicator code assumes bars are immutable once closed, so you can reference `close ` and know that value will never change. Real-time renko throws that assumption out because the current brick is constantly mutating with every tick until it closes. Using varip for state variables and carefully tracking what belongs to finalized bricks versus the developing brick makes it possible to maintain consistency while still updating smoothly in real-time. The fact that there's no historical reconstruction and everything starts fresh when you load it is actually a feature, not a limitation, because you're seeing genuine real-time brick formation rather than some approximation of what might have happened in the past.
Indicador Pine Script®
por The_Peaceful_Lizard
2
AUTOMATIC ANALYSIS MODULE🧭 Overview “Automatic Analysis Module” is a professional, multi-indicator system that interprets market conditions in real time using TSI, RSI, and ATR metrics. It automatically detects trend reversals, volatility compressions, and momentum exhaustion, helping traders identify high-probability setups without manual analysis. ⚙️ Core Logic The script continuously evaluates: TSI (True Strength Index) → trend direction, strength, and early reversal zones. RSI (Relative Strength Index) → momentum extremes and technical divergences. ATR (Average True Range) → volatility expansion or compression phases. Multi-timeframe ATR comparison → detects whether the weekly structure supports or contradicts the local move. The system combines these signals to produce an automatic interpretation displayed directly on the chart. 📊 Interpretation Table At every new bar close, the indicator updates a compact dashboard (bottom right corner) showing: 🔵 Main interpretation → trend, reversal, exhaustion, or trap scenario. 🟢 Micro ATR context → volatility check and flow analysis (stable / expanding / contracting). Each condition is expressed in plain English for quick decision-making — ideal for professional traders who manage multiple charts. 📈 How to Use 1️⃣ Load the indicator on your preferred asset and timeframe (recommended: Daily or 4H). 2️⃣ Watch the blue line message for the main trend interpretation. 3️⃣ Use the green line message as a volatility gauge before entering. 4️⃣ Confirm entries with your own strategy or price structure. Typical examples: “Possible bullish reversal” → early accumulation signal. “Compression phase → wait for breakout” → avoid premature trades. “Confirmed uptrend” → trend continuation zone. ⚡ Key Features Real-time auto-interpretation of TSI/RSI/ATR signals. Detects both bull/bear traps and trend exhaustion zones. Highlights volatility transitions before breakouts occur. Works across all assets and timeframes. No repainting — stable on historical data. ✅ Ideal For Swing traders, position traders, and institutional analysts who want automated context recognition instead of manual indicator reading.
Indicador Pine Script®
por LanfryBil
CVD Divergence + Volume MarkerHere is a Pine Script concept to mark candlestick chart candles when cumulative delta is divergent to price action and volume is above average. Cumulative delta divergence typically occurs when the price forms new highs/lows while cumulative delta forms lower highs/lows (or vice versa). The script should include a marker only when this divergence occurs alongside above-average volume, increasing signal strength and filtering out weak setups.​ Coding Concept Calculate cumulative delta (approximation using price and volume if true bid/ask volume is unavailable, e.g., on spot). Calculate moving average of volume. Detect bullish divergence (price makes lower low, cumulative delta makes higher low) and bearish divergence (price makes higher high, cumulative delta makes lower high). Mark candle with above-average volume when divergence is present.
Indicador Pine Script®
por WallstMoonMan
Flip to GreenPurpose: This indicator applies a Lorentzian-distance–based machine-learning model to classify market conditions and highlight probable momentum shifts. Where traditional indicators react to price movement, this one uses statistical pattern recognition to predict when momentum is likely to flip direction — the classic “flip to green” signal. Concept: Financial markets don’t move linearly; they bend and distort around major catalysts (news, FOMC meetings, earnings, etc.) in a way similar to how gravity warps space-time. This indicator accounts for that distortion by measuring distance in Lorentzian space instead of the usual Euclidean space. In simple terms: it adapts to volatility “warping,” allowing the model to detect structural momentum changes that normal math misses. Core logic: Imports two custom libraries: MLExtensions for machine-learning utilities KernelFunctions for advanced distance calculations Computes relationships among multiple features (e.g., RSI, ADX, or other inputs). Uses Lorentzian geometry to weight how recent price-time behavior influences current classification. Outputs a visual “flip” cue when the probability of trend reversal exceeds threshold confidence. Why it matters: Most indicators measure what has already happened. Lorentzian Classification attempts to capture what’s about to happen by comparing the present market state to a trained historical distribution under warped “price-time” geometry. It’s particularly useful for spotting early accumulation or exhaustion zones before they become obvious on standard momentum tools. Recommended use: Run it as a background trend classifier or color overlay. Combine it with volume-based confirmation tools (e.g., Dollar Volume Ownership Gauge) and structural analysis. A “flip to green” suggests buyers are regaining control; a fade or flip to red implies control returning to sellers.
Indicador Pine Script®
por Mando4_27
Torus Trend Bands — Windowed HammingTorus Trend Bands — Windowed Hamming This TradingView indicator creates dynamic support and resistance bands on your chart. It uses the mathematical model of a torus (a donut shape) to generate cyclical and responsive channel boundaries. The bands are further refined with an advanced smoothing method called a Hamming window to reduce noise and provide a clearer signal. How It Works The Torus Model: The indicator maps price action onto a geometric torus shape. This is defined by two key parameters: Major Radius (a): The distance from the center of the torus to the center of the tube. This controls the overall size and primary cycle. Minor Radius (b): The radius of the tube itself. This controls the secondary, faster "breathing" motion of the bands. Dual-Phase Engine: The behavior of the bands is driven by two different cyclical inputs, or "phases": Major Rotation (φ): A slow, time-based cycle (φ period) that governs the long-term oscillation of the bands. Minor Rotation (q): A fast, momentum-based cycle derived from the Relative Strength Index (RSI). This makes the bands react quickly to price momentum, expanding and contracting as the market becomes overbought or oversold. Standard Technical Core : The torus model is anchored to the price chart using standard indicators: Midline : A central moving average that acts as the baseline for the channel. You can choose from EMA, SMA, HMA, or VWAP. Width Source: A volatility measure that determines the fundamental width of the bands. You can choose between the Average True Range (ATR) or Standard Deviation. Hamming Window Smoothing: This is a sophisticated weighted averaging technique (a Finite Impulse Response filter) used in digital signal processing. It provides exceptionally smooth results with less lag than traditional moving averages. You can apply this smoothing to the RSI, the midline, and the width source independently to filter out market noise. How to Interpret and Use the Indicator Dynamic Support & Resistance: The primary use is to identify potential reversal or continuation points. The upper band acts as dynamic resistance, and the lower band acts as dynamic support. Trend Identification: The color of the bands helps you quickly see the current trend. Teal bands indicate an uptrend (the midline is rising), while red bands indicate a downtrend (the midline is falling). Volatility Gauge: When the bands widen, it signals an increase in market volatility. When they contract, it suggests volatility is decreasing. Alerts: The indicator includes built-in alerts that can notify you when the price touches or breaks through the upper or lower bands, helping you stay on top of key price action. Key Settings Torus Parameters : Adjust Major radius a and Minor radius b to change the shape and cyclical behavior of the bands. Phase Controls: φ period: Controls the length of the main, slow cycle in bars. RSI length → q: Sets the lookback for the RSI that drives the momentum-based cycle. Midline & Width: Choose the type and length for the central moving average and the volatility source (ATR/StDev) that best fits your trading style. Width & Bias Shaping: Min/Max width ×: Control how much the bands expand and contract. Bias ×: Shifts the entire channel up or down based on RSI momentum, helping the bands better capture strong trends. Hamming Controls: Enable or disable the advanced smoothing on different parts of the indicator and set the Hamming length (a longer length results in more smoothing). This indicator provides a unique and highly customizable way to visualize market cycles, volatility, and trend, combining geometry with proven technical analysis tools.
Indicador Pine Script®
por Cmo22
4h 相对超跌筛选器 · Webhook v2.0## 指标用途 用于你的「框架第2步」：在**美股 RTH**里，按**4h 收盘**（06:30–10:30 PT 为首根）筛出相对大盘/行业**显著超跌**且结构健康的候选标的，并可**通过 Webhook 自动推送**`symbol + ts`给下游 AI 执行新闻甄别（第3步）与进出场评估（第4步）。 ## 工作原理（核心逻辑） * **结构健康**：最近 80 根 4h 中，收盘 > 4h_SMA50 的占比 ≥ 阈值（默认 55%）。 * **跌深条件**：4h 跌幅 ≤ −4%，且近两根累计（≈8h）≤ −6%。 * **相对劣化**：相对大盘（SPY/QQQ）与相对行业（XLK/XLF/… 或 KWEB/CQQQ）各 ≤ −3%。 * **流动性与价格**：ADV20_USD ≥ 2000 万；价格 ≥ 3 美元。 * **只在 4h 收盘刻评估与触发**，历史点位全部保留，便于回放核验。 * **冷却**：同一标的信号间隔 ≥ N 天（默认 10）。 ## 主要输入参数 * **bench / sector**：大盘与行业基准（例：SPY/QQQ，XLK/XLF/XLY；中概用 KWEB/CQQQ）。 * **advMinUSD / priceMin**：20 日美元成交额下限、最小价格。 * **pctAboveTh**：结构健康阈值（%）。 * **drop4hTh / drop8hTh**：4h/8h 跌幅阈值（%）。 * **relMktTh / relSecTh**：相对大盘/行业阈值（%）。 * **coolDays**：冷却天数。 * **fromDate**：仅显示此日期后的历史信号（图表拥挤时可用）。 * **showTable / tableRows**：是否显示右上角“最近信号表”及行数。 ## 图表信号 * **S2 绿点**：当根 4h 收盘满足全部筛选条件。 * **右上角表格**：滚动列出最近 N 条命中（`SYMBOL @ yyyy-MM-dd HH:mm`，按图表本地时区）。 ## Webhook 联动（生产用） 1. 添加指标 → 🔔 新建警报（Alert）： * **Condition**：`Any alert() function call` * **Options**：`Once per bar close` * **Webhook URL**：填你的接收地址（可带 `?token=...`） * **Message**：留空（脚本内部 `alert(payload)` 会发送 JSON）。 2. 典型 JSON 载荷（举例）： ```json { "event": "step2_signal", "symbol": "LULU", "symbol_id": "NASDAQ:LULU", "venue": "NASDAQ", "bench": "SPY", "sector": "XLY", "ts_bar_close_ms": 1754524200000, "ts_bar_close_local": "2025-06-06 10:30", "price_close": 318.42, "ret_4h_pct": -5.30, "ret_8h_pct": -7.45, "rel_mkt_pct": -4.90, "rel_sec_pct": -3.80 } ``` > 建议以 `symbol + ts_bar_close_ms` 做去重键；接收端先快速 `200 OK`，后续异步处理并交给第3步 AI。 ## 使用建议 * **时间框架**：任意周期可用，指标内部统一拉取 240 分钟数据并仅在 4h 收盘刻触发。 * **行业映射**：尽量选与个股业务最贴近的 ETF；中国 ADR 可用 `PGJ/KWEB/CQQQ` 叠加细分行业对照。 * **回放验证**：Bar Replay **不发送真实 Webhook**；仅用于查看历史命中与表格。测试接收端请用 Alert 面板的 **Test**。 ## 适配说明 * Pine Script **v5**。 * 不含成分筛查逻辑（请在你的 500–600 只候选池内使用）。 * 数字常量不使用下划线分隔；如需大数可用 `20000000` 或 `2e7`。 ## 常见问题 * ⛔️ 报错 `tostring(...)`：Pine 无时间格式化重载，脚本已内置 `timeToStr()`。 * ⛔️ `syminfo.exchange` 不存在：已改用 `syminfo.prefix`（交易所前缀）。 * ⛔️ 多行字符串拼接报 `line continuation`：本脚本已用括号包裹或 `str.format` 规避。 ## 免责声明 该指标仅供筛选与研究使用，不构成投资建议。请结合你的第3步新闻/基本面甄别与第4步执行规则共同决策。
Indicador Pine Script®
por lvyaofeng19920413
PDB 4 MA + Candle Strength/Weakness Detector 4MA Strength & Reversal Detector Unlock the power of momentum with this advanced 4 Moving Average system (20, 50, 100, 200) designed to pinpoint market strength and early reversal zones with precision. How It Works: - Bearish Reversal: Triggered when all moving averages align (20 < 50 < 100 < 200) and bearish reversal candles appear — highlighting potential tops. - Bullish Reversal: Triggered when all moving averages align (200 < 100 < 50 < 20) and bullish reversal candles form — marking potential bottoms :Best For: ⚡ Scalpers and day traders using 1–5 minute timeframes 📈 Identifying momentum shifts and trend exhaustion early Tip: Combine this with volume or RSI for stronger confirmation and fewer false signals.
Indicador Pine Script®
por PrintDemBandz
KDJ Max-Distance (K-D vs K-J)This indicator measures the maximum divergence between K and its related lines (D or J) in the KDJ stochastic system. KEY CONCEPT: - Calculates two distances: |K-D| and |K-J| - Outputs whichever distance is larger - Shows which component (D or J) is most diverged from K at any given time CALCULATION: 1. Standard KDJ: K (fast), D (K smoothed), J (3K - 2D) 2. Distance K-D: momentum between fast and slow lines 3. Distance K-J: captures extreme divergence 4. Output: max(|K-D|, |K-J|) or signed version INTERPRETATION: • High positive values: K strongly above both D and J (strong upward momentum) • High negative values: K strongly below both D and J (strong downward momentum) • Near zero: K aligned with D/J (consolidation or reversal zone) • Background color shows which is dominant: Teal=K-D, Orange=K-J USE CASES: - Identify extreme momentum conditions - Spot divergence exhaustion - Confirm trend strength - Filter ranging vs trending markets SETTINGS: - Signed mode: preserves direction (positive/negative) - Absolute mode: shows pure distance magnitude - Adjustable guide levels for visual reference
Indicador Pine Script®
por aurostr
CHAN CRYPTO RS🩷 ATR RS (Crypto / High-based 2.1x, Decimal Safe v2) This indicator is designed for crypto position sizing and stop calculation using ATR-based risk management. It helps traders automatically determine the stop price, per-unit risk, and optimal position size based on a fixed risk amount in USDT. 🔧 Core Logic ATR Length (Daily RMA) — calculates the daily Average True Range (ATR) using RMA smoothing. ATR Multiplier (2.1× default) — defines how far the stop is placed from the daily high. Stop Price (for Longs) = Daily High − ATR × Multiplier Per-Unit Risk = (Entry − Stop) × Point Value Position Size = Risk Amount ÷ Per-Unit Risk Automatically handles decimal precision for micro-priced crypto assets (e.g., PEPE, SHIB). Includes safeguards for minimum size and maximum position caps. 💡 Features Uses Daily ATR without lookahead (no repainting). Dynamically switches between current and previous ATR for stable results when the daily bar isn’t yet confirmed. “Snap to tick” ensures stop prices align with the symbol’s tick size. Table display summarizes ATR, stop price, per-unit risk, total risk, size, and bet amount. Optional stop label on the chart for visual clarity. 🧮 Output Table Metric Description ATR(10) Daily RMA-based ATR ATR used Chosen ATR (current or previous) Stop Calculated stop price Per-unit Risk per coin/unit Risk Total risk in USDT Size Optimal position size Bet Total position value (Entry × Size) 🧠 Ideal For Crypto traders who use fixed-risk ATR strategies and need precise, decimal-safe position sizing even for ultra-low-priced tokens.
Indicador Pine Script®
por turtlekim
Buying Climax + Spring [Darwinian]Buying Climax + Spring Indicator Overview Advanced Wyckoff-based indicator that identifies potential market reversals through **Buying Climax** patterns (exhaustion tops) and **Spring** patterns (accumulation bottoms). Designed for traders seeking high-probability reversal signals with strict uptrend validation. --- Method 🔴 Buying Climax Detection Identifies exhaustion patterns at market tops using multi-condition analysis: **Base Buying Climax (Red Triangle)** - Volume spike > 1.8x average - Range expansion > 1.8x average - New 20-bar high reached - Close finishes in lower 30% of bar range - **Strict uptrend validation**: Price must be 30%+ above 20-day low **Enhanced Buying Climax (Maroon Triangle)** - All Base BC conditions PLUS: - Gap up from previous high - Intraday fade (close < open and below midpoint) - **Higher confidence reversal signal** 🟢 Wyckoff Spring Detection Identifies accumulation patterns at support levels: - Price breaks below recent pivot low (false breakdown) - Close recovers above pivot level (rejection) - Occurs at trading range low - Optional volume confirmation (1.5x+ average) - Limited to 3 attempts per pivot (prevents over-signaling) ✅ Uptrend Validation Filter **Four-condition composite filter** prevents false signals in sideways/downtrending markets: 1. Close-to-close rise ≥ 5% over lookback period 2. Price structure: Close > MA(10) > MA(20) 3. Swing low significantly below current price 4. **Primary requirement**: Current high ≥ 30% above 20-day low --- Input Tuning Guide Buying Climax Settings: **Volume & Range Thresholds** - `Volume Spike Threshold`: Default 1.8x - Lower (1.5x) = More signals, more noise - Higher (2.0-2.5x) = Fewer but stronger exhaustion signals - `Range Spike Threshold`: Default 1.8x - Adjust parallel to volume threshold - Higher values = extreme volatility required **Pattern Detection** - `New High Lookback`: Default 20 bars - Shorter (10-15) = Recent highs only - Longer (30-50) = Major breakout detection - `Close Off High Fraction`: Default 0.3 (30%) - Lower (0.2) = Stricter rejection requirement - Higher (0.4-0.5) = Allow weaker intraday fades - `Gap Threshold`: Default 0.002 (0.2%) - Increase (0.005-0.01) for stocks with wider spreads - Decrease (0.001) for tight-spread instruments - `Confirmation Window`: Default 5 bars - Shorter (3) = Faster confirmation, more false positives - Longer (7-10) = Wait for deeper automatic reaction Uptrend Filter Settings **Critical for Signal Quality** - `Minimum Rise from 20-day Low`: Default 0.30 (30%) - **Most important parameter** - Lower (0.20-0.25) = More signals in moderate uptrends - Higher (0.40-0.50) = Only extreme parabolic moves - `Pole Lookback`: Default 30 bars - Shorter (20) = Recent momentum focus - Longer (40-50) = Longer-term trend validation - `Minimum Rise % for Pole`: Default 0.05 (5%) - Adjust based on market volatility - Higher in strong bull markets (7-10%) Wyckoff Spring Settings - `Pivot Length`: Default 6 bars - Shorter (3-4) = More frequent pivots, more signals - Longer (8-10) = Major support/resistance only - `Volume Threshold`: Default 1.5x - Higher (1.8-2.0x) = Stronger conviction required - Disable volume requirement for low-volume stocks - `Trading Range Period`: Default 20 bars - Match to consolidation timeframe being traded - Shorter (10-15) for intraday patterns - Longer (30-40) for weekly consolidations --- Recommended Workflow 1. **Start with defaults** on daily timeframe 2. **Adjust uptrend filter** first (30% rise parameter) - Too many signals? Increase to 35-40% - Too few? Decrease to 25% 3. **Fine-tune volume/range multipliers** based on instrument volatility 4. **Enable alerts** for real-time monitoring: - Base BC → Initial warning - Enhanced BC → High-priority reversal - Confirmed BC (AR) → Strong follow-through - Spring → Accumulation opportunity --- Alert System - **Base Buying Climax**: Standard exhaustion pattern detected - **Enhanced BC (Gap+Fade)**: Higher confidence reversal setup - **Confirmed BC (AR)**: Automatic reaction validated (price drops below BC midline) - **Wyckoff Spring**: Accumulation pattern at support --- Best Practices - Combine with support/resistance analysis - Watch for BC clusters (multiple timeframes) - Spring patterns work best after Buying Climax distribution - Backtest parameters on your specific instruments - Higher timeframes (daily/weekly) = higher reliability --- Technical Notes - Built with Pine Script v6 - No repainting (signals finalize on bar close) - Minimal CPU usage (optimized calculations) - Works on all timeframes and instruments - Overlay indicator (displays on price chart) --- *Indicator follows classical Wyckoff methodology with modern volatility filters*
Indicador Pine Script®
por DarwinDarma
2