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Seasonality Monte Carlo Forecaster [BackQuant]Seasonality Monte Carlo Forecaster Plain-English overview This tool projects a cone of plausible future prices by combining two ideas that traders already use intuitively: seasonality and uncertainty. It watches how your market typically behaves around this calendar date, turns that seasonal tendency into a small daily “drift,” then runs many randomized price paths forward to estimate where price could land tomorrow, next week, or a month from now. The result is a probability cone with a clear expected path, plus optional overlays that show how past years tended to move from this point on the calendar. It is a planning tool, not a crystal ball: the goal is to quantify ranges and odds so you can size, place stops, set targets, and time entries with more realism. What Monte Carlo is and why quants rely on it • Definition . Monte Carlo simulation is a way to answer “what might happen next?” when there is randomness in the system. Instead of producing a single forecast, it generates thousands of alternate futures by repeatedly sampling random shocks and adding them to a model of how prices evolve. • Why it is used . Markets are noisy. A single point forecast hides risk. Monte Carlo gives a distribution of outcomes so you can reason in probabilities: the median path, the 68% band, the 95% band, tail risks, and the chance of hitting a specific level within a horizon. • Core strengths in quant finance . – Path-dependent questions : “What is the probability we touch a stop before a target?” “What is the expected drawdown on the way to my objective?” – Pricing and risk : Useful for path-dependent options, Value-at-Risk (VaR), expected shortfall (CVaR), stress paths, and scenario analysis when closed-form formulas are unrealistic. – Planning under uncertainty : Portfolio construction and rebalancing rules can be tested against a cloud of plausible futures rather than a single guess. • Why it fits trading workflows . It turns gut feel like “seasonality is supportive here” into quantitative ranges: “median path suggests +X% with a 68% band of ±Y%; stop at Z has only ~16% odds of being tagged in N days.” How this indicator builds its probability cone 1) Seasonal pattern discovery The script builds two day-of-year maps as new data arrives: • A return map where each calendar day stores an exponentially smoothed average of that day’s log return (yesterday→today). The smoothing (90% old, 10% new) behaves like an EWMA, letting older seasons matter while adapting to new information. • A volatility map that tracks the typical absolute return for the same calendar day. It calculates the day-of-year carefully (with leap-year adjustment) and indexes into a 365-slot seasonal array so “March 18” is compared with past March 18ths. This becomes the seasonal bias that gently nudges simulations up or down on each forecast day. 2) Choice of randomness engine You can pick how the future shocks are generated: • Daily mode uses a Gaussian draw with the seasonal bias as the mean and a volatility that comes from realized returns, scaled down to avoid over-fitting. It relies on the Box–Muller transform internally to turn two uniform random numbers into one normal shock. • Weekly mode uses bootstrap sampling from the seasonal return history (resampling actual historical daily drifts and then blending in a fraction of the seasonal bias). Bootstrapping is robust when the empirical distribution has asymmetry or fatter tails than a normal distribution. Both modes seed their random draws deterministically per path and day, which makes plots reproducible bar-to-bar and avoids flickering bands. 3) Volatility scaling to current conditions Markets do not always live in average volatility. The engine computes a simple volatility factor from ATR(20)/price and scales the simulated shocks up or down within sensible bounds (clamped between 0.5× and 2.0×). When the current regime is quiet, the cone narrows; when ranges expand, the cone widens. This prevents the classic mistake of projecting calm markets into a storm or vice versa. 4) Many futures, summarized by percentiles The model generates a matrix of price paths (capped at 100 runs for performance inside TradingView), each path stepping forward for your selected horizon. For each forecast day it sorts the simulated prices and pulls key percentiles: • 5th and 95th → approximate 95% band (outer cone). • 16th and 84th → approximate 68% band (inner cone). • 50th → the median or “expected path.” These are drawn as polylines so you can immediately see central tendency and dispersion. 5) A historical overlay (optional) Turn on the overlay to sketch a dotted path of what a purely seasonal projection would look like for the next ~30 days using only the return map, no randomness. This is not a forecast; it is a visual reminder of the seasonal drift you are biasing toward. Inputs you control and how to think about them Monte Carlo Simulation • Price Series for Calculation . The source series, typically close. • Enable Probability Forecasts . Master switch for simulation and drawing. • Simulation Iterations . Requested number of paths to run. Internally capped at 100 to protect performance, which is generally enough to estimate the percentiles for a trading chart. If you need ultra-smooth bands, shorten the horizon. • Forecast Days Ahead . The length of the cone. Longer horizons dilute seasonal signal and widen uncertainty. • Probability Bands . Draw all bands, just 95%, just 68%, or a custom level (display logic remains 68/95 internally; the custom number is for labeling and color choice). • Pattern Resolution . Daily leans on day-of-year effects like “turn-of-month” or holiday patterns. Weekly biases toward day-of-week tendencies and bootstraps from history. • Volatility Scaling . On by default so the cone respects today’s range context. Plotting & UI • Probability Cone . Plots the outer and inner percentile envelopes. • Expected Path . Plots the median line through the cone. • Historical Overlay . Dotted seasonal-only projection for context. • Band Transparency/Colors . Customize primary (outer) and secondary (inner) band colors and the mean path color. Use higher transparency for cleaner charts. What appears on your chart • A cone starting at the most recent bar, fanning outward. The outer lines are the ~95% band; the inner lines are the ~68% band. • A median path (default blue) running through the center of the cone. • An info panel on the final historical bar that summarizes simulation count, forecast days, number of seasonal patterns learned, the current day-of-year, expected percentage return to the median, and the approximate 95% half-range in percent. • Optional historical seasonal path drawn as dotted segments for the next 30 bars. How to use it in trading 1) Position sizing and stop logic The cone translates “volatility plus seasonality” into distances. • Put stops outside the inner band if you want only ~16% odds of a stop-out due to noise before your thesis can play. • Size positions so that a test of the inner band is survivable and a test of the outer band is rare but acceptable. • If your target sits inside the 68% band at your horizon, the payoff is likely modest; outside the 68% but inside the 95% can justify “one-good-push” trades; beyond the 95% band is a low-probability flyer—consider scaling plans or optionality. 2) Entry timing with seasonal bias When the median path slopes up from this calendar date and the cone is relatively narrow, a pullback toward the lower inner band can be a high-quality entry with a tight invalidation. If the median slopes down, fade rallies toward the upper band or step aside if it clashes with your system. 3) Target selection Project your time horizon to N bars ahead, then pick targets around the median or the opposite inner band depending on your style. You can also anchor dynamic take-profits to the moving median as new bars arrive. 4) Scenario planning & “what-ifs” Before events, glance at the cone: if the 95% band already spans a huge range, trade smaller, expect whips, and avoid placing stops at obvious band edges. If the cone is unusually tight, consider breakout tactics and be ready to add if volatility expands beyond the inner band with follow-through. 5) Options and vol tactics • When the cone is tight : Prefer long gamma structures (debit spreads) only if you expect a regime shift; otherwise premium selling may dominate. • When the cone is wide : Debit structures benefit from range; credit spreads need wider wings or smaller size. Align with your separate IV metrics. Reading the probability cone like a pro • Cone slope = seasonal drift. Upward slope means the calendar has historically favored positive drift from this date, downward slope the opposite. • Cone width = regime volatility. A widening fan tells you that uncertainty grows fast; a narrow cone says the market typically stays contained. • Mean vs. price gap . If spot trades well above the median path and the upper band, mean-reversion risk is high. If spot presses the lower inner band in an up-sloping cone, you are in the “buy fear” zone. • Touches and pierces . Touching the inner band is common noise; piercing it with momentum signals potential regime change; the outer band should be rare and often brings snap-backs unless there is a structural catalyst. Methodological notes (what the code actually does) • Log returns are used for additivity and better statistical behavior: sim_ret is applied via exp(sim_ret) to evolve price. • Seasonal arrays are updated online with EWMA (90/10) so the model keeps learning as each bar arrives. • Leap years are handled; indexing still normalizes into a 365-slot map so the seasonal pattern remains stable. • Gaussian engine (Daily mode) centers shocks on the seasonal bias with a conservative standard deviation. • Bootstrap engine (Weekly mode) resamples from observed seasonal returns and adds a fraction of the bias, which captures skew and fat tails better. • Volatility adjustment multiplies each daily shock by a factor derived from ATR(20)/price, clamped between 0.5 and 2.0 to avoid extreme cones. • Performance guardrails : simulations are capped at 100 paths; the probability cone uses polylines (no heavy fills) and only draws on the last confirmed bar to keep charts responsive. • Prerequisite data : at least ~30 seasonal entries are required before the model will draw a cone; otherwise it waits for more history. Strengths and limitations • Strengths : – Probabilistic thinking replaces single-point guessing. – Seasonality adds a small but meaningful directional bias that many markets exhibit. – Volatility scaling adapts to the current regime so the cone stays realistic. • Limitations : – Seasonality can break around structural changes, policy shifts, or one-off events. – The number of paths is performance-limited; percentile estimates are good for trading, not for academic precision. – The model assumes tomorrow’s randomness resembles recent randomness; if regime shifts violently, the cone will lag until the EWMA adapts. – Holidays and missing sessions can thin the seasonal sample for some assets; be cautious with very short histories. Tuning guide • Horizon : 10–20 bars for tactical trades; 30+ for swing planning when you care more about broad ranges than precise targets. • Iterations : The default 100 is enough for stable 5/16/50/84/95 percentiles. If you crave smoother lines, shorten the horizon or run on higher timeframes. • Daily vs. Weekly : Daily for equities and crypto where month-end and turn-of-month effects matter; Weekly for futures and FX where day-of-week behavior is strong. • Volatility scaling : Keep it on. Turn off only when you intentionally want a “pure seasonality” cone unaffected by current turbulence. Workflow examples • Swing continuation : Cone slopes up, price pulls into the lower inner band, your system fires. Enter near the band, stop just outside the outer line for the next 3–5 bars, target near the median or the opposite inner band. • Fade extremes : Cone is flat or down, price gaps to the upper outer band on news, then stalls. Favor mean-reversion toward the median, size small if volatility scaling is elevated. • Event play : Before CPI or earnings on a proxy index, check cone width. If the inner band is already wide, cut size or prefer options structures that benefit from range. Good habits • Pair the cone with your entry engine (breakout, pullback, order flow). Let Monte Carlo do range math; let your system do signal quality. • Do not anchor blindly to the median; recalc after each bar. When the cone’s slope flips or width jumps, the plan should adapt. • Validate seasonality for your symbol and timeframe; not every market has strong calendar effects. Summary The Seasonality Monte Carlo Forecaster wraps institutional risk planning into a single overlay: a data-driven seasonal drift, realistic volatility scaling, and a probabilistic cone that answers “where could we be, with what odds?” within your trading horizon. Use it to place stops where randomness is less likely to take you out, to set targets aligned with realistic travel, and to size positions with confidence born from distributions rather than hunches. It will not predict the future, but it will keep your decisions anchored to probabilities—the language markets actually speak.
Penunjuk Pine Script®
oleh BackQuant
2
EMA with Adaptive Straight SegmentsThis script transforms a traditional Exponential Moving Average (EMA) into a series of straight-line segments, making trend direction clearer and easier to follow. Instead of plotting every curve of the EMA, it connects key points with angled steps, giving a trend-line style look that removes noise and highlights slope. What makes this version special is its adaptive segmentation: Segment length automatically adjusts based on market volatility (ATR%). In low volatility, segments stretch longer to smooth things out. In high volatility, segments shorten to stay responsive to price swings. Features: Clean, step-style EMA representation. Adjustable minimum/maximum segment lengths. Customisable number of historical segments. Optional display of the original EMA for comparison. HUD label showing current ATR%, segment length, and segment count. This tool is especially useful if, like me, you prefer structural analysis over noisy indicators. It keeps your chart tidy while still reflecting the true slope of the EMA. I find 50 and 200 are the most useful.
Penunjuk Pine Script®
oleh TregTrader
Weekly High/Low Weekday Stats by [M1rage]Патч: условная статистика по дню недельного экстремума Добавлена новая функция, позволяющая строить условное распределение по дням недели. Что нового. Два новых параметра в настройках: Condition: Weekly High on — зафиксировать день недели, в который сформировался недельный High. Condition: Weekly Low on — зафиксировать день недели, в который сформировался недельный Low. Таблица автоматически перестраивается: Левая колонка показывает — вероятности минимума недели при выбранном дне максимума. Правая колонка показывает — вероятности максимума недели при выбранном дне минимума. В заголовках колонок появляется подпись формата: Weekly Low | High=Tue Weekly High | Low=Thu --------------------------------------------------------------------------------------------------------------------- Patch: Conditional Statistics by Day of the Weekly Extremum A new feature has been added that builds a conditional distribution by weekdays. What’s new Two new settings: Condition: Weekly High on — fix the weekday on which the weekly High formed. Condition: Weekly Low on — fix the weekday on which the weekly Low formed. The table updates automatically: Left column — probabilities of the weekly Low given the selected day of the High. Right column — probabilities of the weekly High given the selected day of the Low. Column headers now display labels in the format: Weekly Low | High=Tue Weekly High | Low=Thu
Penunjuk Pine Script®
oleh M1rage_fx
Multi-Timeframe Bias Dashboard + VolatilityWhat it is: A corner table (overlay) that gives a quick higher-timeframe read for Daily / 4H / 1H using EMA alignment, MACD, RSI, plus a volatility gauge. How it works (per timeframe): EMA block (50/100/200): “Above/Below/Mixed” based on price vs all three EMAs. MACD: “Bullish/Bearish/Neutral” from MACD line vs Signal and histogram sign. RSI: Prints the value and an ↑/↓ based on 50 line. Volatility: Compares ATR(14) to its SMA over 20 bars → High (>*1.2), Normal, Low (<*0.8). Bias: Combines three votes (EMA, MACD, RSI): Bullish if ≥2 bullish, Bearish if ≥2 bearish, else Mixed. Display: Rows: D / 4H / 1H. Columns: Bias, EMA(50/100/200), RSI, MACD, Volatility. Bias cell is color-coded (green/red/gray). Position setting lets you park the table in Top Right / Bottom Right / Bottom Left (works on mobile too). Use it for: Quickly aligning intraday setups with higher-TF direction. Skipping low-volatility periods. Confirming momentum (MACD/RSI) when price returns to your OB/FVG zones.
Penunjuk Pine Script®
oleh muddydefenders
Gann Box LogicGann Box Logic Overview The Gann Box Logic indicator is a precision-based trading tool that combines the principles of Gann analysis with retracement logic to highlight high-probability zones of price action. It plots a structured box on the chart based on the previous day's high and low, overlays Fibonacci-derived retracement levels, and visually marks a critical “neutral zone” between 38.2% and 61.8% retracements. This zone — shaded for emphasis — is a decision filter for traders: - It warns against initiating trades in this area (low conviction zone). - It identifies reversal pull targets when extremes are reached. Core Principles Behind Gann Box Logic Logic 1 — The Neutral Zone (38.2% ↔ 61.8%) - The 38.2% and 61.8% retracement levels are key Fibonacci ratios often associated with consolidation or indecision. - Price action between these two levels is considered a neutral, low-conviction zone. - Trading Recommendation: - Avoid initiating new trades while price remains within this shaded band. - This zone tends to produce whipsaws and false signals. - Wait for a decisive break above 61.8% or below 38.2% for clearer momentum. - Why it matters: - In Gann’s market structure thinking, the middle range of a swing is often a battleground where neither bulls nor bears are in full control. - This is the zone where market makers often shake out weak hands before committing to a direction. Logic 2 — Extremes Seek Balance (0% & 100% Reversal Bias) - The indicator’s 0% and 100% levels represent the previous day’s low and high respectively. - First Touch Rule: - When the price touches 0% (previous low) or 100% (previous high) for the first time in the current session, there is a high probability it will attempt to revert toward the center zone (38.2% ↔ 61.8%). - Trading Implication: - If price spikes to an extreme, be alert for reversion trades toward the mid-zone rather than expecting a sustained breakout. - Momentum traders may still pursue breakout trades, but this bias warns of potential pullbacks. - Why it works: - Extreme levels often trigger profit-taking by early entrants and counter-trend entries by mean-reversion traders. - These forces naturally pull the market back toward equilibrium — often near the 50% level or within the shaded zone. How the Indicator is Plotted 1. Previous Day High/Low Reference — The script locks onto the prior day’s range to establish the vertical bounds of the box. 2. Retracement Levels — Key Fibonacci levels plotted: 0%, 25%, 38.2%, 50%, 61.8%, 75%, 100%. 3. Box Structure — Outer Border marks the full prior day range, Mid Fill Zone is shaded between 38.2% and 61.8%. 4. VWAP (Optional) — Daily VWAP overlay for intraday bias confirmation. Practical Usage Guide - Avoid Trades in Neutral Zone — Stay out of the shaded area unless you’re already in a trade from outside this zone. - Watch for First Touch Extremes — First touch at 0% or 100% → anticipate a pullback toward the shaded zone. - Breakout Confirmation — Only commit to breakout trades when price leaves the 38.2–61.8% zone with strong volume and momentum. - VWAP Confluence — VWAP crossing through the shaded zone often signals a balance day — breakout expectations should be tempered. Strengths of Gann Box Logic - Removes noise trades during low-conviction periods. - Encourages patience and discipline. - Highlights key market turning points. - Provides clear visual structure for both new and advanced traders. Limitations & Warnings - Not a standalone entry system — best used in conjunction with price action and volume analysis. - Extreme moves can sometimes trend without reversion, especially during news-driven sessions. - Works best on intraday timeframes when referencing the previous day’s range. In Summary The Gann Box Logic indicator’s philosophy can be boiled down to two golden rules: 1. Do nothing in the middle — Avoid trades between 38.2% and 61.8%. 2. Expect balance from extremes — First touches at 0% or 100% often pull back toward the shaded mid-zone. This dual approach makes the indicator both a trade filter and a targeting guide, allowing traders to navigate markets with a structured, Gann-inspired framework. DISCLAIMER The information provided by this indicator is for educational purposes only and should not be considered financial advice. Trading carries risk, including possible loss of capital. Past performance does not guarantee future results. Always conduct your own research and consult with a qualified financial professional before making trading decisions.
Penunjuk Pine Script®
oleh moneypots
MultiMA fxG v2 Indicateur permettant de centralier 3 moving average : - Moving average Simple 8 (bleu) - Moving average Exponentielle 21 (rouge) - Moving average Exponentielle 50 (Orange) ==================================================== Simple Moving Average (SMA) 8: Displayed in blue, this line provides a quick view of short-term price trends. Exponential Moving Average (EMA) 21: Shown in red, this average is more sensitive to recent price changes and highlights medium-term momentum. Exponential Moving Average (EMA) 50: Marked in orange, this line tracks longer-term price movements for overall trend direction. Traders can use the combination of these moving averages to identify potential crossover signals, trend strength, and possible reversal points.
Penunjuk Pine Script®
oleh badabuXXI
The RSP/VOO indicatorThe RSP/VOO indicator refers to the ratio between the performance of two exchange-traded funds (ETFs): RSP (Invesco S&P 500 Equal Weight ETF) and VOO (Vanguard S&P 500 ETF). RSP tracks an equal-weighted version of the S&P 500 index, meaning each of the 500 stocks in the index is given the same weight regardless of company size. In contrast, VOO is a market-cap-weighted ETF, where larger companies (like Apple or Microsoft) have a greater influence on the fund's performance based on their market capitalization. This ratio (RSP divided by VOO) is often used as a market breadth indicator in finance. When the RSP/VOO ratio rises, it suggests that smaller or mid-sized stocks in the S&P 500 are outperforming the largest ones, indicating broader market participation and potentially healthier overall market conditions. Conversely, when the ratio falls, it implies that a few mega-cap stocks are driving the market's gains, which can signal increased concentration risk or a narrower rally. For example, RSP provides more diversified exposure by reducing concentration in large-cap stocks, while VOO reflects the dominance of top-weighted holdings. Investors might monitor this ratio to gauge market sentiment, with RSP historically showing higher expense ratios (around 0.20%) compared to VOO's lower fees (about 0.03%), but offering potentially better risk-adjusted returns in certain environments.1.6秒
Penunjuk Pine Script®
oleh littlesun1992
Camarilla Levels Pro Camarilla Levels Pro – Precision Intraday & Swing Trading Tool Unlock the full potential of Camarilla Pivot Levels for identifying high-probability reversal zones, breakout triggers, and intraday bias shifts. This indicator automatically calculates L1–L5 levels based on the Camarilla formula, updating daily for precise market adaptation. Whether you’re trading futures, forex, stocks, or crypto, you’ll instantly see: Reversal Zones – Where price historically reacts and traps traders. Breakout Zones – L4/L5 for bullish breakouts, L3/L2 for bearish reversals. Bias Shifts – Quickly gauge if the market is leaning long or short. Custom Alerts – Get notified when price touches or breaks your chosen level. Features: Auto-adjusting Camarilla levels for any symbol & timeframe Color-coded zones for instant visual recognition Optional mid-levels for scalpers Fully customizable styling to match your chart setup Ideal for: Day traders wanting precision entry/exit zones Swing traders watching key daily pivot breaks Scalpers looking for high-probability reaction points
Penunjuk Pine Script®
oleh millerboy12345
1
Aethix Cipher ProAethix Cipher Pro: AI-Enhanced Crypto Signal Indicator grok Ai made signal created for aethix users. Unlock the future of crypto trading with Aethix Cipher Pro—a powerhouse indicator inspired by Market Cipher A, turbocharged for Aethix.io users! Built on WaveTrend Oscillator, 8-EMA Ribbon, RSI+MFI, and custom enhancements like Grok AI confidence levels (70-100%), on-chain whale volume thresholds, and fun meme alerts ("To the moon! 🌕"). Key Features: WaveTrend Signals: Spot overbought/oversold with levels at ±53/60/100—crosses trigger red diamonds, blood diamonds, yellow X's for high-prob buy/sell entries. Neon Teal EMA Ribbon: Dynamic 5-34 EMA gradient (bullish teal/bearish red) for trend direction—crossovers plot green/red circles, blue triangles. RSI+MFI Fusion: Overbought (70+)/oversold (30-) with long snippets for sentiment edges.
Penunjuk Pine Script®
oleh axi13
Enhanced Circle CandlestickEnhanced Circle Candlestick This script transforms standard candlesticks into circles, visualizing momentum, volume, and volatility in a unique way. The size and color of the circles change based on the body size of the candlestick, while a change in color signifies a volume spike. Long wicks are also highlighted, providing a quick visual cue for potential reversals or indecision. Features Circle Visualization: Replaces the standard candlestick body with a circle. The size of the circle is determined by the size of the candlestick body, making it easy to spot periods of high momentum.Gradient Color: The circle's opacity changes based on the body size. Smaller bodies have a lighter color, while larger, more powerful bodies have a darker, more vivid color. This visual gradient provides a clear indication of a bar's strength.Volume Spike Highlight: The circle's color will change to a bright yellow when the current volume exceeds the average volume by a user-defined factor, indicating a significant influx of buying or selling pressure.Long Wick Markers: The script draws a small triangle above or below the candlestick when a wick's length surpasses a user-defined percentage of the body's size. This helps identify potential exhaustion, rejection, or indecision in the market. Settings Bullish/Bearish Color: Customize the base colors for bullish (green) and bearish (red) circles.Volume Spike Color: Choose the color for the circle when a volume spike occurs.Volume Spike Factor: Set the multiplier for the volume spike detection. For example, a value of 2.0 means a volume spike is detected when the current volume is twice the 20-period moving average.Circle Opacity (0-100): Adjust the base transparency of the circles. Lower numbers result in more opaque (solid) colors.Opacity Factor: Controls how quickly the color gradient changes based on the body size. A higher value makes the color change more dramatic.Wick Length Factor (vs Body): Set the threshold for marking long wicks. A value of 0.8 means a wick is marked if its length is 80% or more of the candlestick body's size. How to Use Add this indicator to your chart.Open the Chart Settings.In the "Symbol" tab, set the transparency of the candlestick "Body" to 0%. (This step is essential because the indicator's settings will not be applied when the indicator is not selected, and the default platform settings take precedence.) I do not speak English at all. Please understand that if you send me a message, I may not be able to reply, or my reply may have a different meaning. Thank you for your understanding.
Penunjuk Pine Script®
oleh ALT_analyst
EEI Strategy — Greedy/Guarded v1.2Purpose Day‑trading strategy (5‑min focus) that hunts “armed” setups (PRE) and confirms them (GO) with greedy-but‑guarded execution. It adapts to symbol type, trend strength, and how long it’s been since the last signal. Core signals & regime Trend/Regime: EMA‑200 (intraday bias), VWAP, and a non‑repainting HTF EMA (via request.security(...) ). Momentum/Structure: Manual Wilder DMI/ADX, micro‑ribbon (EMA 8/21), Bollinger‑Keltner squeeze + “squeeze fire,” BOS (break of swing high/low), pullback to band. Liquidity/Vol: RVOL vs SMA(volume) + a latch (keeps eligibility a few bars after the first spike). Volatility: ATR + ATR EMA (expansion). PRE / GO engine Score (0–100) aggregates trend, momentum, RVOL, squeeze, OBV slope, ribbon, pullback, BOS, and an Opening‑Range (OR) proximity penalty. PRE arms when the adjusted score ≥ threshold and basic hygiene passes (ATR%, cooldown, etc.). GO confirms within a dynamic window (1–3 bars): Wick‑break mode on hot momentum (trend‑day / high ADX+RVOL): stop orders above/below the PRE high/low with a tick buffer. Close‑through mode otherwise: close must push through PRE high/low plus ATR buffer. Chase guard: entry cannot be too far from PRE price (ATR‑based), with a tiny extra allowance when the 8/21 ribbon aligns. Multiple PREs per squeeze (capped) + per‑entry cooldown. Adaptive behavior Presets (Conservative/Balanced/Aggressive/Turbo) shift score/ADX/RVOL/ATR gates, GO window, cooldown, and max chase. Profiles / Auto by Symbol: Mega Trend (e.g., AMD/NVDA/TSLA/AAPL): looser chase, ATR stop, chandelier trail. Mid Guarded (e.g., TTD/COIN/SOFI): swing stop, EMA trail, moderate gates. Small Safe (e.g., BTAI/BBAI class): tighter gates, more guardrails. BBAI micro‑override: easier arming (lower score/ADX/RVOL), multi‑PRE=3, swing stop + EMA trail, lighter OR penalty. Trend‑day detector: if ADX hot + RVOL strong + ATR expanding + distance from day‑open large → GO window = 1 and wick‑break mode. Mid‑day relaxers: mild score bonus between 10:30–14:30 to keep signals flowing in quieter tape. Auto‑Relaxer (no‑signal fallback): after N bars without PRE/GO, gradually lowers score/ADX/RVOL/ATR% gates and raises max chase so the engine doesn’t stall on sleepy symbols. Auto‑Session fallback: if RTH session isn’t detected (some tickers/premarket), it falls back to daily boundaries so Opening Range and day‑open logic still work. Risk & exits Initial stop per side chosen by ATR, Swing, or OR (computed every bar; no conditional calls). Scaled targets: TP1/TP2 (R‑based) + runner with optional Chandelier or EMA trailing. BE logic: optional move to breakeven after TP1; trailing can start after TP1 if configured. Opening Range (OR) Computes day open, OR high/low over configurable minutes; applies a penalty when entries are too close to OR boundary (lighter for small caps/BBAI). Protects against boundary whips. Alerts & visuals Alertconditions: PRE Long/Short Armed, GO Long/Short + explicit alert() calls for once‑per‑bar automation. Plots: EMA‑200, HTF EMA, BB/KC bands, OR lines, squeeze shading, and PRE markers. Why it’s robust Non‑repainting HTF technique, all series precomputed every bar, no function calls hidden in conditionals that could break history dependence, and consistent state handling (var + sentinels). Tuning cheat‑sheet (fast wins) More trades: lower scoreBase, adxHot, or rvolMinBase a notch; reduce cooldownBase; increase maxPREperSqueeze. Fewer whips: increase closeBufferATR, wickBufferTicks, or atrMinPct; reduce maxChaseATRBase. Trend capture: use trailType="Chandelier", smaller trailLen, slightly larger trailMult; set preset="Aggressive". Choppy names: prefer stopMode="Swing", enable EMA trail, keep OR penalty on.
Strategi Pine Script®
oleh pitretmed