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Nate - Opening Playbook - Regime DetectorDetermines what kind of market you are in by looking at the amount of touches on key EMAs. This indicator classifies the market into one of three regimes—Bull Trend, Bear Trend, or Range—by looking at how consistently price has been closing above or below key moving averages over a recent window. You choose a lookback period (X candles) and three EMA lengths (Fast/Middle/Slow). For each EMA, the indicator calculates the percentage of the last X candles that closed above it (for Bull) or below it (for Bear). Bull Trend = over the last X candles, price has closed above the Fast, Middle, and Slow EMAs at least as often as your Bull thresholds require. Bear Trend = over the last X candles, price has closed below the Fast, Middle, and Slow EMAs at least as often as your Bear thresholds require. Range = anything that doesn’t meet the Bull or Bear trend requirements.
Pine Script®指標
由ProsperityPub提供
SmartTrend Pro [WillyAlgoTrader]📡 SmartTrend Pro is an overlay indicator built around a custom trend detection algorithm — the Adaptive Volatility Trend Engine (AVTE) — that replaces the standard Supertrend approach with Ehlers Super Smoother filtering and Kaufman adaptive ATR bands. Every trend flip is scored by a multi-factor confluence system (0–100) before becoming a signal. The result is a trend-following tool that adapts to current volatility conditions, filters out low-confidence entries, and provides dynamic TP/SL levels — all with full anti-repaint protection. 🧩 WHY THESE COMPONENTS WORK TOGETHER A traditional Supertrend uses a simple moving average of True Range to calculate bands. This works in steady markets but produces false signals during volatility spikes and misses early reversals during compression. SmartTrend Pro replaces every component of this pipeline with an adaptive alternative, creating a system where each stage feeds the next: Ehlers-filtered price → Kaufman-adaptive ATR → Volatility bands → Trend direction → Confluence scoring → Filtered signal → Risk levels The Ehlers Super Smoother removes high-frequency noise from the price before the trend bands are calculated — this prevents the trend engine from reacting to random wicks. The Kaufman adaptive ATR widens bands when volatility is real (sustained directional movement) and tightens them during choppy, low-efficiency conditions — making the trend change threshold automatically adjust. The confluence scoring system then evaluates each trend flip against five independent market factors before allowing the signal to fire. And the TP/SL system freezes its risk distance at entry (using the ATR at signal time) so targets don't drift as volatility changes post-entry. No single component here is sufficient on its own. An Ehlers filter without adaptive bands still produces false crossovers. Adaptive bands without scoring still trigger on weak trend flips. Scoring without frozen TP/SL creates drifting targets. The integrated pipeline solves all three problems simultaneously. 🔍 WHAT MAKES IT ORIGINAL 1️⃣ Adaptive Volatility Trend Engine (AVTE) — custom trend algorithm. The AVTE replaces the standard Supertrend calculation at every stage: Stage 1 — Price filtering: Instead of using raw price, the AVTE applies an Ehlers 2-pole Super Smoother to the source. The Ehlers filter uses the transfer function: ss = c1 × (src + src ) × 0.5 + c2 × ss + c3 × ss where c1 = 1 − c2 − c3, c2 = 2a × cos(√2 × π / period), c3 = −a², and a = exp(−√2 × π / period). This produces zero-lag frequency-domain filtering — it removes high-frequency noise without the phase distortion that a simple moving average introduces. The filter period is derived from the ATR period (ATR_period / 2, minimum 3). Stage 2 — Adaptive volatility measurement: Instead of a fixed-length ATR, the AVTE uses a Kaufman Adaptive ATR. First, a standard ATR(period) is calculated. Then the Kaufman Efficiency Ratio (ER) is computed: ER = |close − close | / sum(|close − close |, period). The ER measures how much net directional movement exists relative to total path traveled — ranging from 0 (pure chop) to 1 (clean trend). The ER then modulates a smoothing constant: sc = (ER × (fast − slow) + slow)², where fast = 2/3 and slow = 2/31. The adaptive ATR blends: aATR = aATR + sc × (rawATR − aATR ). In trending conditions (high ER), the adaptive ATR reacts quickly to volatility changes. In choppy conditions (low ER), it smooths aggressively, preventing false band expansions. Stage 3 — Band calculation and trend direction: Upper band = filtered_price + sensitivity × adaptive_ATR. Lower band = filtered_price − sensitivity × adaptive_ATR. Bands ratchet in the trend direction: the lower band can only rise (never fall) during uptrends, the upper band can only fall during downtrends. When close crosses above the upper band, trend flips bullish. When close crosses below the lower band, trend flips bearish. The trend line follows the lower band in uptrends, upper band in downtrends (step-line visualization). The Sensitivity parameter (default 2.5) controls how far the bands sit from filtered price. Lower = tighter bands, more signals, faster reaction. Higher = wider bands, fewer signals, smoother. 2️⃣ Multi-confluence scoring system (0–100). Every AVTE trend flip is evaluated against five independent market factors before becoming a signal: Factor 1 — EMA alignment (±15 pts): Checks whether close > EMA(50) > EMA(200) for bullish alignment, or close < EMA(50) < EMA(200) for bearish. Full alignment = +15 (bull) or −15 (bear). No alignment = 0. This confirms the trend flip aligns with the broader trend structure. Factor 2 — RSI position (±10 pts): RSI(14) between 50–70 = +10 (bullish momentum without overextension). RSI 30–50 = −10 (bearish). Extremes (>70 or <30) score 0 — avoiding signals at overbought/oversold levels where reversals are more likely. Factor 3 — MACD histogram direction (±12 pts): MACD(12,26,9) histogram > 0 and rising = +12 (accelerating bullish momentum). Histogram < 0 and falling = −12 (accelerating bearish). This captures momentum acceleration, not just direction. Factor 4 — Volume confirmation (0–8 pts): Volume > 20-period SMA × 1.2 = +8. This confirms institutional participation. Auto-disabled on instruments without volume data (forex). Factor 5 — ADX strength (0–10 pts): ADX(14) > 25 = +10, ADX > 20 = +5. Confirms the market is trending, not ranging. The base score starts at 50. Bullish factors add, bearish factors subtract. Final score is clamped to 0–100. A buy signal fires when the AVTE flips bullish AND score ≥ Min Signal Score (default 55). A sell signal fires when AVTE flips bearish AND score ≤ (100 − Min Signal Score), creating symmetric thresholds around 50. Signals with score ≥ 75 (buy) or ≤ 25 (sell) are classified as "Strong" and receive a distinct label. 3️⃣ Ehlers Super Smoother trend cloud. A dual-band cloud system using two Ehlers Super Smoothers at different periods. The fast period depends on the Cloud Style setting: — Adaptive: auto-adjusts between 13 and 55 based on current volatility — calculated as 34 × (1 + stdev(close, 20) / adaptive_ATR × 0.5) — Fast: fixed at 21 (tight cloud for scalping) — Smooth: fixed at 55 (wide cloud for swing) — Minimal: fixed at 34 (single line, no fill) The slow period = fast period × 2.618 (golden ratio). Cloud is bullish when fast > slow (green fill), bearish when fast < slow (red fill). The AVTE step-line is overlaid on the cloud for immediate trend-direction clarity. An optional trend tracer (EMA, default 233-period) provides institutional-level long-term bias. 4️⃣ Four-preset system with parameter scaling. Presets modify three core parameters simultaneously using multipliers: — Conservative : sensitivity × 1.4, ATR period × 1.3, min score floor 70 — fewer but higher-quality signals, for swing trading — Balanced : no modification — default parameters, good for 15M–4H — Aggressive : sensitivity × 0.7, ATR period × 0.8, min score ceiling 45 — more signals, faster entries — Scalping : sensitivity × 0.5, ATR period × 0.6, min score ceiling 40 — optimized for 1–5M, tightest bands Each preset adjusts the effective sensitivity, ATR length, and minimum score threshold proportionally, so one selection adapts the entire signal pipeline rather than requiring manual tuning of individual parameters. 5️⃣ Dynamic TP/SL with frozen risk distance. Three stop-loss modes: — ATR : SL distance = adaptive ATR × configurable multiplier (default 1.5×) — Percentage : SL distance = fixed percentage of entry price — Structure : SL distance = half the recent swing range (highest high − lowest low over swing lookback) TP levels are calculated as multiples of SL distance: TP1 = SL × 1.5 (default), TP2 = SL × 2.5, TP3 = SL × 4.0. The SL distance is frozen at entry — once a signal fires, the risk distance is locked and does not change with subsequent volatility. This prevents TP/SL levels from drifting as ATR changes post-entry. TP hit markers (×) appear on the chart as each level is reached. An optional Chandelier Exit trailing stop follows price using the ATR multiplier, ratcheting in the profit direction. 6️⃣ Pullback signals within established trends. In addition to trend-flip signals, the indicator detects pullback entries within an existing trend: — Bullish pullback: AVTE trend is bullish (no flip), price retraces to EMA(pullback_sensitivity × 3), RSI(pullback_sensitivity) drops below 35 then starts rising — catching the bounce off trend support — Bearish pullback: AVTE trend is bearish, price rallies to EMA, RSI exceeds 65 then starts falling Pullback signals appear as small circles (distinct from the main Buy/Sell labels), providing additional entries within a confirmed trend direction. They are bar-close confirmed and warmup-protected. 7️⃣ Volatility gauge with statistical normalization. The dashboard displays a real-time volatility reading (0–100%) calculated as: gauge = (ATR(10) − (SMA(ATR, 20) − StDev(ATR, 20))) / (2 × StDev(ATR, 20)) × 100, clamped to 0–100. This measures where current volatility sits relative to its recent statistical distribution: > 70% = High (above 1 standard deviation), 40–70% = Medium, < 40% = Low. This helps you assess whether the current environment suits your strategy: high volatility favors wider stops and fewer signals, low volatility favors tighter approaches. 8️⃣ Multi-timeframe trend panel (non-repainting). The dashboard includes an MTF panel showing trend direction on 5M, 15M, 1H, 4H, and 1D — using close > EMA(200) with lookahead_on for guaranteed non-repainting. When most timeframes align in one direction, trend-flip signals in that direction have higher confluence. 9️⃣ Session detection. The dashboard shows the current active trading session: Tokyo, London, New York, Sydney, or overlaps (London/New York, Tokyo/London). Sessions are calculated using UTC-based time windows. This helps you contextualize volatility: London/New York overlap is typically the highest-volume period, while off-hours have thinner liquidity. 🔟 Four optional filters. Each filter can be independently toggled: — Trend filter : only signals aligned with the Ehlers cloud direction — Volume filter : only signals with volume EMA(10) > EMA(25) — auto-disabled for instruments without volume — ADX filter : only signals when ADX > 20 (trending market) — Momentum filter : only signals with MACD histogram aligned (positive + rising for buys, negative + falling for sells) All filters default to Off — enabling them progressively reduces signal frequency while increasing average quality. ⚙️ HOW IT WORKS — CALCULATION FLOW Step 1 — Ehlers filtering: Source price is passed through the 2-pole Super Smoother with period = max(round(ATR_period / 2), 3). This removes intrabar noise while preserving trend structure. Step 2 — Adaptive ATR: Kaufman Efficiency Ratio is calculated over the ATR period. The ER modulates the smoothing speed of ATR: trending conditions → fast adaptation, choppy conditions → slow adaptation. Step 3 — Band construction: Upper = filtered_price + sensitivity × adaptive_ATR. Lower = filtered_price − sensitivity × adaptive_ATR. Bands ratchet: lower band can only rise in uptrends, upper band can only fall in downtrends. Step 4 — Trend detection: Close above upper band → bullish. Close below lower band → bearish. The trend line is the active band (lower in uptrends, upper in downtrends). Step 5 — Confluence scoring: On every bar, five factors are evaluated and combined into a 0–100 score. On a trend flip bar, the score determines whether the signal qualifies. Step 6 — Filter gate: If any enabled filter disagrees, the signal is suppressed. Step 7 — Signal emission: Buy or Sell label appears on the confirmed bar. Score ≥ 75 / ≤ 25 → "Strong Buy/Sell". Step 8 — TP/SL placement: Risk distance is calculated and frozen. TP1/TP2/TP3 are placed as R:R multiples. Labels persist on the right side of the chart. Hit markers appear as each level is reached. 📖 HOW TO USE 🎯 Quick start: 1. Select a preset matching your style: Scalping (1–5M), Balanced (15M–4H), Conservative (4H–1D) 2. Add the indicator to your chart — the AVTE trend line and cloud appear immediately 3. Wait for a Buy or Sell label — the score next to it tells you the confluence quality 4. Check the dashboard: trend direction, score, market state (trending/ranging), volatility, session 5. TP/SL levels appear automatically — manage the trade using the marked levels 👁️ Reading the chart: — 🟩 Green cloud fill = bullish trend (Ehlers fast > slow) — 🟥 Red cloud fill = bearish trend — Step-line on the cloud = AVTE trend boundary (the level that must break for a trend flip) — 🟢 "Buy" / "Strong Buy" label below bar = confirmed bullish signal — 🔴 "Sell" / "Strong Sell" label above bar = confirmed bearish signal — 🟢 Small circle below bar = pullback buy (trend continuation entry) — 🔴 Small circle above bar = pullback sell — Orange line = entry price | Red line = stop loss | Green lines = TP1/TP2/TP3 — × markers = TP hit confirmations — HH/HL/LH/LL labels (optional) = market structure swing points 📊 Dashboard fields: — Trend: current AVTE direction (Bullish/Bearish) — Signal: last confirmed signal (Buy/Sell/Wait) — Score: current confluence score (0–100) — Market: ADX-based state (Trending > 25 / Ranging > 20 / No Trend) — Volatility: statistical gauge (High/Medium/Low with percentage) — Session: current active session (Tokyo/London/New York/Sydney/overlaps) — MTF Panel: 5M/15M/1H/4H/1D trend direction (close vs 200 EMA) 🔧 Tuning guide: — Too many signals: increase Min Score, enable filters, switch to Conservative preset — Too few signals: decrease Min Score, switch to Aggressive/Scalping, lower Sensitivity — Signals too late: lower Sensitivity (tighter bands), use Fast cloud style — Too many false signals: enable ADX filter (filters ranging markets), increase Min Score to 65+ — Scalping 1–5M: use Scalping preset, ATR mode SL with multiplier 1.0–1.5, TP1 R:R 1.0–1.5 — Swing 4H–1D: use Conservative preset, ATR mode SL with multiplier 2.0–3.0, TP3 R:R 5.0+ ⚙️ KEY SETTINGS REFERENCE ⚙️ Main: — Trend Sensitivity (default 2.5): AVTE band distance — lower = more signals, higher = fewer — ATR Period (default 21): volatility measurement lookback — Preset (default Balanced): Conservative / Balanced / Aggressive / Scalping 📡 Signal Tuning: — Min Signal Score (default 55): minimum confluence to trigger signals — Strong Signals Only (default Off): only show score ≥ 75 — Show Pullback Signals (default On): trend continuation entries — Pullback Sensitivity (default 8): retracement detection lookback ☁️ Trend Cloud: — Cloud Style (default Adaptive): Adaptive / Fast / Smooth / Minimal — Trend Tracer (default Off): long-term EMA bias line (default 233) 🔍 Filters (all default Off): — Trend Filter (cloud alignment) / Volume Filter / ADX Filter / Momentum Filter 🛡️ Risk Management: — SL Mode (default ATR): ATR / Percentage / Structure — SL ATR Multiplier (default 1.5×) / SL Percentage (default 1.0%) — TP1/TP2/TP3 Risk:Reward (default 1.5 / 2.5 / 4.0) — Trailing Stop (default Off): Chandelier Exit method — Market Structure (default Off): HH/HL/LH/LL swing labels 🎨 Visual: — Auto / Dark / Light theme — Bar coloring: Trend Gradient / Signal Based / Momentum / None — Background trend shading (default Off) 📊 Dashboard: — Position, font size, MTF panel toggle 🔔 Alerts — 🟢 Buy / Strong Buy — ticker, price, timeframe, score — 🔴 Sell / Strong Sell — same fields — 🎯 TP1 / TP2 / TP3 Hit — ticker, price — 🛑 SL Hit — ticker, price — ☁️ Cloud Cross Bullish / Bearish — ticker, timeframe All alerts support plain text and JSON webhook format. Bar-close confirmed. ⚠️ IMPORTANT NOTES — 🚫 No repainting. All signals require barstate.isconfirmed. TP/SL distances are frozen at entry and do not change retroactively. MTF data uses + lookahead_on for non-repainting HTF values. A warmup period (minimum 200 bars or 3× ATR period) prevents signals during insufficient data. — 📐 The AVTE is not a standard Supertrend . It replaces every component: Ehlers Super Smoother instead of raw price, Kaufman adaptive ATR instead of fixed ATR, ratcheting bands instead of simple ±ATR. The mathematics are described in detail above. — ⚖️ The confluence score is not a win-rate predictor . A score of 75 means five independent market factors align strongly — it measures confluence quality, not outcome probability. Use it to prioritize, not to guarantee. — 📊 The scoring system uses standard indicators (EMA, RSI, MACD, Volume, ADX) as confluence factors , not as independent signal generators. None of these indicators alone triggers a signal — they only contribute to the score that gates an AVTE trend flip. — 🔧 Presets modify parameters proportionally. After selecting a preset, you can still adjust individual settings — the preset sets the starting point, your adjustments override it. — 📏 TP/SL levels are frozen at entry . The SL distance calculated at the signal bar persists until the next signal — it does not drift with changing ATR. This is by design for consistent risk management. — 🔄 Pullback signals are continuation entries , not reversal signals. They only appear within an established AVTE trend and require RSI reversion from oversold/overbought — catching bounces off trend support/resistance. — 🛠️ This is a signal and analysis tool , not an automated trading bot. It generates signals, scores them, and visualizes TP/SL — trade decisions remain yours. — 🌐 Works on all markets and timeframes. Volume filter auto-disables on instruments without volume data.
Pine Script®指標
由WillyAlgoTrader提供
ZUMIKO FX - EMA 9/21 + CCI | GOLD M1 PRO ⚡ ZUMIKO FX — EMA 9/21 + CCI Indicator | GOLD M1 PRO ═══════════════════════════════════════════════════════ A precision scalping indicator designed for Gold (XAUUSD) and crypto on the M1 timeframe. Combines EMA crossover signals with CCI momentum confirmation and automatic ATR-based risk management for clean, high-probability entries. ─────────────────────────────────────────────────────── 📌 HOW IT WORKS ─────────────────────────────────────────────────────── BUY signal (▲) triggers when ALL 3 conditions are met: ✅ EMA 9 crosses above EMA 21 (bullish crossover) ✅ CCI confirms bullish momentum (CCI > -100) ✅ Price is above EMA 200 (long-term trend filter) SELL signal (▼) triggers when ALL 3 conditions are met: ✅ EMA 9 crosses below EMA 21 (bearish crossover) ✅ CCI confirms bearish momentum (CCI < +100) ✅ Price is below EMA 200 (long-term trend filter) ─────────────────────────────────────────────────────── 📊 INDICATORS USED ─────────────────────────────────────────────────────── ▸ EMA 9 — fast moving average (price reaction) ▸ EMA 21 — slow moving average (direction confirmation) ▸ EMA 200 — long-term trend filter (optional, can be disabled) ▸ CCI 20 — Commodity Channel Index using hlc3 source (overbought / oversold / momentum strength) ─────────────────────────────────────────────────────── 🛡️ RISK MANAGEMENT (ATR-Based) ─────────────────────────────────────────────────────── Stop Loss and Take Profit are calculated automatically using ATR (Average True Range), adapting levels to current market volatility: Stop Loss = entry price ± ATR × 1.5 (default) Take Profit = entry price ± ATR × 3.0 (default) Risk/Reward = 1 : 2.0 Both ATR multipliers are fully adjustable in the indicator settings. ─────────────────────────────────────────────────────── 📋 INFORMATION DASHBOARD ─────────────────────────────────────────────────────── A dashboard table is displayed in the top-right corner showing: • Position — current status (LONG / SHORT / FLAT) • EMA 9/21 — crossover direction (Bullish / Bearish) • CCI — value + zone (dynamic color coding): 🟢 Green — ▲ MOMENTUM (0 to +100) → good BUY entry 🟠 Orange — OVERBOUGHT (+100 to +200) → caution 🔴 Red — EXTR. OVERBOUGHT (> +200) → avoid BUY 🟥 Salmon — ▼ MOMENTUM (-100 to 0) → good SELL entry 🟩 Light green — OVERSOLD (-200 to -100) → possible bounce ⬜ White — EXTR. OVERSOLD (< -200) → avoid SELL • ATR — current market volatility • Stop Loss — SL level for open position • Take Profit — TP level for open position • Risk/Reward — risk to reward ratio ─────────────────────────────────────────────────────── 🔔 CCI PANEL (lower chart) ─────────────────────────────────────────────────────── A separate CCI indicator displayed as a lower panel: ▸ CCI line changes color dynamically based on current zone ▸ ▲ B / ▼ S signals fully synchronized with the main indicator ▸ Small triangles — CCI zone exit only (earlier warning signal) ▸ Filled zones: red (overbought) / green (oversold) ─────────────────────────────────────────────────────── ⚙️ ADJUSTABLE SETTINGS ─────────────────────────────────────────────────────── EMA Fast — default 9 (fast moving average) EMA Slow — default 21 (slow moving average) EMA Trend Filter — default 200 (trend filter, can be disabled) CCI Length — default 20 CCI Overbought — default +100 CCI Oversold — default -100 ATR Length — default 14 SL Multiplier — default 1.5 TP Multiplier — default 3.0 ─────────────────────────────────────────────────────── ⚠️ IMPORTANT NOTES ─────────────────────────────────────────────────────── • Works best on M1 and M5 timeframes • Recommended instruments: XAUUSD (Gold), BTCUSD, indices • Past performance does not guarantee future results • Always apply your own risk management rules • This is not financial advice — trade at your own risk ─────────────────────────────────────────────────────── 👤 AUTHOR ─────────────────────────────────────────────────────── Indicator created by ZUMIKO FX Questions and suggestions? Drop them in the comments below 👇 If you find this indicator useful — please leave a ⭐ and share it!
Pine Script®指標
由kodik19788提供
BK AK-GannBox King👑📐 BK AK–GannBox King 👑📐 All glory to G-d — the true source of wisdom, restraint, and right timing. Respect to my mentor AK — discipline, patience, clean execution. This script is built to support that standard. GannBox King is not a “buy/sell generator.” It’s a structure-mapping system that turns a swing range into a full decision grid: price levels, time divisions, geometric angles, harmonic zones, and measured extensions — with optional confluence marking, signal markers, alerts, and a clean dashboard so you can read the battlefield fast. What it does (big picture) GannBox King builds a dynamic Gann Box from the chart’s current swing range and then layers optional modules on top of it: 1) The box and the grid (the foundation) Draws a box using the highest high and lowest low inside the visible chart window (what you can currently see on screen). Creates a grid using selectable Fibonacci presets (Classic / Gann 1/8ths / Extended / Custom). Can extend into the future, so levels continue forward for planning and reaction zones. 2) Geometric tools (the rails) Optional overlays that use the same anchor range: Gann fan (diagonals from anchor corners) Gann curves (quarter-circle arcs at key fractions) Gann angles (corner-to-grid geometry) Harmonic ratio divisions (1/8 and 1/3 splits like 12.5%, 33.3%, 66.6%, 87.5%) 3) Confluence zones (where features agree) When enabled, the script scans for places where multiple Gann features cluster near the same price zone and marks them as confluence areas (only near current price so the chart doesn’t become noise). 4) Context modules (confirmation layers) Optional add-ons that help you judge whether a level is “real” or just a line: Volume profile by level interaction (where price repeatedly traded at/through levels) Time cycles (Fibonacci time zones + classic Gann degree intervals) Heatmap zones (touch frequency by level, to show which areas keep getting tested) Price tags (actual prices printed on levels) Auto S/R labeling (simple “support vs resistance” classification relative to current price) 5) Advanced toolset Harmonic pattern detection (Gartley / Butterfly / Bat / Crab) using pivot-based swings and labels them when detected. Multi-timeframe box overlay for higher timeframe confluence. Mirror / symmetry projection to visualize a forward “reflection” of the box geometry. Square of 9 levels (sqrt(price) ± degree increments) with filters so you can show only major rotations if you want. 6) Signals, bar coloring, extensions, dashboard Signal markers for bounces and breaks at the nearest level (optional volume confirmation). Bar coloring when price is near a level. Fibonacci extensions (127.2 / 161.8 / 200 / 261.8) as forward targets. A dashboard table that shows which modules are on and a quick bias read based on where price sits relative to levels. How it works (so you know what you’re looking at) The anchor logic (important) This script is view-dependent: It finds the visible-window high and low (inside your current chart view). That means if you scroll/zoom, the anchor swing can change, and the entire grid updates. This is intentional: it’s designed as an interactive mapping tool. If you want a stable map for a session, set your view, then use the box as your structure until you intentionally re-anchor by changing the view. The level logic Once the swing range is set: The script generates horizontal levels at the chosen preset percentages (plus optional harmonic divisions). It also computes the “nearest level” every bar, which is used for: bounce/break signal logic proximity bar coloring “near level” alerts Signals (what they actually mean) When “Signal Markers” is enabled: Bounce Up: price dips into/through a level and closes back above it with bullish candle body (optional volume filter). Bounce Down: price pushes into/through a level and closes back below it with bearish candle body (optional volume filter). Break Up / Break Down: price closes across the nearest level relative to prior close (optional volume filter). These are interaction markers, not predictions. How to use it (AK-style workflow) Step 1 — Choose the swing you want to map Zoom/scroll until the visible range represents the move you’re trading: scalping: last impulse + pullback day trading: session range or last major leg swing: multi-day leg Step 2 — Start simple Turn on only: Gann box + labels Optional: price tags This gives you clean structure with minimal clutter. Step 3 — Add “permission layers” only when needed Turn on confluence zones when you want only the levels where multiple tools agree. Use time cycles when you’re planning timing windows (not entries). Use heatmap to identify “repeat-test” levels (areas the market keeps negotiating). Use mtf box when you’re trading lower timeframe but want higher timeframe structure. Step 4 — Treat signals as confirmation, not commands Use bounce/break markers to confirm the level is active. If you use alerts, consider “once per bar close” to avoid intrabar noise. Step 5 — Use extensions as targets, not magnet fantasies Extensions are most useful when: a breakout holds above/below the box structure you want measured objectives that are consistent across instruments Alerts included The script includes alert conditions for: bounce up / bounce down breakout up / breakdown “price is near a Gann level” Tip: alerts can fire intrabar depending on your TradingView alert setting. If you want fewer false pings, use bar close alerts. Notes and limitations (so nothing surprises you) Because anchoring is based on the visible chart window, the layout updates when you change your view. That’s not “repainting” a past signal; it’s a different anchor selection. This tool works best on liquid instruments where swings are meaningful. Thin symbols can overreact to levels. Disclaimer This indicator is for charting, study, and decision support. It does not guarantee outcomes and is not financial advice. Always manage risk and confirm with price/structure. All glory to G-d. Respect to AK. 👑📐 BK AK–GannBox King 👑📐
Pine Script®指標
由Ki11a_B提供
SDCA SYSTEM | The AlchemistOverview A macro-valuation tool for Bitcoin, combining on-chain, cyclical, and historical fair value models into a single composite signal. Highlights structural market positioning, not short-term entries. Composed Signal Average of multiple models (CVDD, Fibonacci 0.786, Pi Cycle 350×2, SMMA 200W, Power Law, NUPL, Realized Price, AHR999, MVRV, Mayer Multiple) to show long-term support/resistance zones. Distance & Candle Gradient Measures % deviation between price and each model. Optional candle coloring visualizes oversold/overbought extremes for quick regime assessment. Z-Score Normalizes price distance to identify rare deviations. Rolling Z-Score with long window EMA smoothing optional Configurable oversold threshold Highlights historically favorable accumulation zones. Trend Component Optional: colors candles based on Z-Score trend for a macro directional view. Single Signal Mode Display individual models separately for deeper analysis; disables composite signal automatically. Purpose Designed for long-term Bitcoin study and accumulation strategies. Not for intraday timing.
Pine Script®指標
由UltimateVision999提供
Market Structure by GreenSquadMarket Structure This indicator maps price structure using confirmed swing pivots rather than candle closes. Swings are validated using a symmetric lookback window, meaning a high or low is only accepted after both left and right side confirmation. This avoids repainting and ensures structure reflects actual auction completion instead of intrabar noise. Each new pivot is classified relative to the previous one: Higher High (HH) → continuation strength Higher Low (HL) → bullish pullback Lower High (LH) → bearish pullback Lower Low (LL) → continuation weakness From these sequences a persistent market state is derived: HH following HL → Bullish trend LL following LH → Bearish trend Opposite break → Change of Character (transition phase) No progression → Range environment A zig-zag backbone connects confirmed pivots to visualize the true path of price movement. Additionally, the indicator measures volatility using ATR relative to its average: Expansion → impulsive conditions, breakouts more likely Compression → contraction, expansion likely upcoming The dashboard summarizes: market state, last structural event, volatility regime, and statistically favorable trading bias (pullbacks in trend, reversals in transition). The tool is designed as a context filter — not a signal generator — helping traders align entries with confirmed auction structure rather than reacting to individual candles.
Pine Script®指標
由Green_Squad提供
ZoneX Scanner VynexZoneX Scanner automatically plots key psychological price zones directly on your chart, helping traders identify important support and resistance areas where price reactions are likely to occur. The indicator draws horizontal zone bands at fixed price intervals (5, 10, 25, 50, and 100 levels), highlighting round-number areas commonly watched by institutional and retail traders. Each zone includes a midline for precise level tracking while maintaining a clean, low-opacity design that won’t clutter your chart.
Pine Script®指標
由PrimeVerse_app提供
RSI-Gauss-Velocity-Strategy-WiPStrategy Overview: RSI-Gauss-Velocity-Strategy-WiP This high-performance strategy captures trend expansions by combining N-Pole Gaussian Filter signal processing with Stochastic RSI momentum. Unlike traditional moving averages, the Gaussian Filter creates a responsive, low-lag baseline and volatility channel designed to filter market noise and focus on true directional energy. The Mechanics Gaussian Channel: Uses a 4-pole bell-curve weighting to create a "Filtered True Range". Momentum Confirmation: Entries require Stoch-RSI to be at extreme levels (>80 or <20) to ensure breakouts are backed by cyclical momentum. Trend Alignment: Longs are only taken when the Gaussian trend is sloping upward. Key Logic Upgrades Momentum Velocity Exit: Replaces static exits with a slope exhaustion filter that senses when a trend is "tired," locking in profits before a price crash. Asymmetric Profit Protection: Allows aggressive momentum exits only when in profit, giving losing trades room to breathe while protecting gains during "blow-off tops". Compounding Retention: Avoids hard trailing stops to stay in winning trades longer, significantly boosting compounding potential. Performance Evolution (Nov 2014 – Mar 2026) The optimized version represents a massive leap in efficiency over the original script: Total P&L: Increased from +2,610% to +45,383%. Profit Factor: Improved from 5.69 to 5.78. Drawdown: Maintained at a stable -20.28% despite the exponential profit increase. Optimized for: BTC, ETH, and high-beta trending assets on 1H, 4H, and Daily timeframes.
Pine Script®策略
由WorkInProgress374提供
Gann Static Step-Cycle (Two-Way) v.3This Pine Script indicator implements a Static Step-Cycle logic based on the Gann Square of 9, specifically designed to track price movements relative to a fixed "Anchor" (like an All-Time High) through 360° cycles. ​Core Mechanism: Static vs. Dynamic ​Unlike most indicators that recalculate with every new swing, this script remains Static. It stays fixed on an Anchor price (e.g., 25,476.40) and only updates when price completes a full 360° vibration. ​Step-by-Step Working ​1. Anchoring and Initialization ​The script starts with a user-defined ath_price (Anchor). ​It calculates the square root of this anchor to find its base vibration: \sqrt{\text{Anchor}}. ​2. The Shift Logic (The "Step" System) ​This is the heart of the indicator. It defines a "trading box" of one full Gann cycle: ​Upper Boundary (+360°): calculated as (\sqrt{\text{Anchor}} + 2)^2. ​Lower Boundary (-360°): calculated as (\sqrt{\text{Anchor}} - 2)^2. ​The Shift: If the price closes above the +360° line or below the -360° line, the indicator "steps" up or down. That boundary becomes the new Anchor, and a fresh set of levels is plotted. ​3. Calculating Gann Degrees (Vibrations) ​Within the active cycle, the script plots specific geometric angles: ​90° (Cardinal): Root increment of \pm 0.5. ​180° (Opposition): Root increment of \pm 1.0. ​270° (1.5 Vibration): Root increment of -1.5. In Gann theory, this is known as the "Trend Exhaustion" or "Death Zone," often coinciding with the end of an Elliott Wave 5. ​Key Features for Trading
Pine Script®指標
由OVIMONT提供
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ZoneX ScannerZoneX Scanner — Psychological Price Zones + EMA Trend ZoneX Scanner automatically plots key psychological price zones directly on your chart, helping traders identify important support and resistance areas where price reactions are likely to occur. The indicator draws horizontal zone bands at fixed price intervals (5, 10, 25, 50, and 100 levels), highlighting round-number areas commonly watched by institutional and retail traders. Each zone includes a midline for precise level tracking while maintaining a clean, low-opacity design that won’t clutter your chart.
Pine Script®指標
由PrimeVerse_app提供
Let's hustleThis all-in-one script integrates Bollinger Bands, Moving Averages, and Session overlays to provide a comprehensive view of market volatility and trends. Designed for clarity, it identifies key liquidity zones and trend shifts by combining multiple technical indicators into a single, streamlined interface. Whether you are day trading or swing trading, this tool helps you execute high-probability setups without the clutter of multiple separate indicators.
Pine Script®指標
由dok007700提供
NEO MAGNET//@version=6 indicator("EMA with Horizontal Lines on Scale", shorttitle="EMA Scale Lines", overlay=true, explicit_plot_zorder=true) // === Входные параметры === showEma6 = input.bool(true, "EMA 6") showEma12 = input.bool(true, "EMA 12") showEma33 = input.bool(true, "EMA 33") showEma66 = input.bool(true, "EMA 66") showEma111 = input.bool(true, "EMA 111") showEma222 = input.bool(true, "EMA 222") showEma333 = input.bool(true, "EMA 333") showEma666 = input.bool(true, "EMA 666") showEma1332 = input.bool(true, "EMA 1332") showEma1665 = input.bool(true, "EMA 1665") // === Настройки отображения === lineStyle = input.string("Solid", "Тип линий EMA", options= ) lineWidth = input.int(1, "Толщина линий", minval=1, maxval=4) // === Настройки текста === textColor = input.color(color.white, "Цвет текста") textSize = input.string("Small", "Размер текста", options= ) bgTransparency = input.int(70, "Прозрачность фона %", minval=0, maxval=90) showLabels = input.bool(true, "Показывать подписи на линиях") showTable = input.bool(true, "Показывать таблицу значений") // === Преобразование стиля линии === getLineStyle() => if lineStyle == "Solid" line.style_solid else if lineStyle == "Dotted" line.style_dotted else if lineStyle == "Dashed" line.style_dashed else if lineStyle == "Arrow Left" line.style_arrow_left else if lineStyle == "Arrow Right" line.style_arrow_right else line.style_solid // === Получение размера шрифта === getTextSize() => if textSize == "Tiny" size.tiny else if textSize == "Small" size.small else if textSize == "Normal" size.normal else size.large // === Расчет EMA === ema6 = ta.ema(close, 6) ema12 = ta.ema(close, 12) ema33 = ta.ema(close, 33) ema66 = ta.ema(close, 66) ema111 = ta.ema(close, 111) ema222 = ta.ema(close, 222) ema333 = ta.ema(close, 333) ema666 = ta.ema(close, 666) ema1332 = ta.ema(close, 1332) ema1665 = ta.ema(close, 1665) // === Форматирование цены === formatPrice(price) => str.tostring(price, format.mintick) // === Функция для создания двух блоков на линии (близко друг к другу) === createTwoLabelsOnLine(x, linePrice, emaName, price, bgColor) => sz = getTextSize() // Маленькое смещение между блоками offset = sz == size.tiny ? 12 : sz == size.small ? 15 : sz == size.normal ? 18 : 22 // Первый блок - название EMA label.new(x, linePrice, text=emaName, color=color.new(bgColor, bgTransparency), textcolor=textColor, size=sz, style=label.style_label_center, xloc=xloc.bar_index, yloc=yloc.price, textalign=text.align_center) // Второй блок - цена (с небольшим смещением вправо) label.new(x + offset, linePrice, text=formatPrice(price), color=color.new(bgColor, bgTransparency), textcolor=textColor, size=sz, style=label.style_label_center, xloc=xloc.bar_index, yloc=yloc.price, textalign=text.align_center) // === Отрисовка линий EMA поверх свечей === plot(showEma6 ? ema6 : na, "EMA 6", color.new(color.blue, 0), linewidth=lineWidth, display=display.pane) plot(showEma12 ? ema12 : na, "EMA 12", color.new(color.yellow, 0), linewidth=lineWidth, display=display.pane) plot(showEma33 ? ema33 : na, "EMA 33", color.new(color.green, 0), linewidth=lineWidth, display=display.pane) plot(showEma66 ? ema66 : na, "EMA 66", color.new(color.lime, 0), linewidth=lineWidth, display=display.pane) plot(showEma111 ? ema111 : na, "EMA 111", color.new(color.orange, 0), linewidth=lineWidth+1, display=display.pane) plot(showEma222 ? ema222 : na, "EMA 222", color.new(color.red, 0), linewidth=lineWidth+1, display=display.pane) plot(showEma333 ? ema333 : na, "EMA 333", color.new(color.maroon, 0), linewidth=lineWidth+1, display=display.pane) plot(showEma666 ? ema666 : na, "EMA 666", color.new(color.purple, 0), linewidth=lineWidth+2, display=display.pane) plot(showEma1332 ? ema1332 : na, "EMA 1332", color.new(color.fuchsia, 0), linewidth=lineWidth+2, display=display.pane) plot(showEma1665 ? ema1665 : na, "EMA 1665", color.new(color.navy, 0), linewidth=lineWidth+3, display=display.pane) // === Горизонтальные линии с подписями === if barstate.islast style = getLineStyle() // EMA 6 if showEma6 line.new(bar_index, ema6, bar_index + 100, ema6, xloc=xloc.bar_index, extend=extend.right, color=color.new(color.blue, 0), style=style, width=lineWidth) if showLabels createTwoLabelsOnLine(bar_index + 85, ema6, "EMA6", ema6, color.blue) // EMA 12 if showEma12 line.new(bar_index, ema12, bar_index + 100, ema12, xloc=xloc.bar_index, extend=extend.right, color=color.new(color.yellow, 0), style=style, width=lineWidth) if showLabels createTwoLabelsOnLine(bar_index + 85, ema12, "EMA12", ema12, color.yellow) // EMA 33 if showEma33 line.new(bar_index, ema33, bar_index + 100, ema33, xloc=xloc.bar_index, extend=extend.right, color=color.new(color.green, 0), style=style, width=lineWidth) if showLabels createTwoLabelsOnLine(bar_index + 85, ema33, "EMA33", ema33, color.green) // EMA 66 if showEma66 line.new(bar_index, ema66, bar_index + 100, ema66, xloc=xloc.bar_index, extend=extend.right, color=color.new(color.lime, 0), style=style, width=lineWidth) if showLabels createTwoLabelsOnLine(bar_index + 85, ema66, "EMA66", ema66, color.lime) // EMA 111 if showEma111 line.new(bar_index, ema111, bar_index + 100, ema111, xloc=xloc.bar_index, extend=extend.right, color=color.new(color.orange, 0), style=style, width=lineWidth+1) if showLabels createTwoLabelsOnLine(bar_index + 85, ema111, "EMA111", ema111, color.orange) // EMA 222 if showEma222 line.new(bar_index, ema222, bar_index + 100, ema222, xloc=xloc.bar_index, extend=extend.right, color=color.new(color.red, 0), style=style, width=lineWidth+1) if showLabels createTwoLabelsOnLine(bar_index + 85, ema222, "EMA222", ema222, color.red) // EMA 333 if showEma333 line.new(bar_index, ema333, bar_index + 100, ema333, xloc=xloc.bar_index, extend=extend.right, color=color.new(color.maroon, 0), style=style, width=lineWidth+1) if showLabels createTwoLabelsOnLine(bar_index + 85, ema333, "EMA333", ema333, color.maroon) // EMA 666 if showEma666 line.new(bar_index, ema666, bar_index + 100, ema666, xloc=xloc.bar_index, extend=extend.right, color=color.new(color.purple, 0), style=style, width=lineWidth+2) if showLabels createTwoLabelsOnLine(bar_index + 85, ema666, "EMA666", ema666, color.purple) // EMA 1332 if showEma1332 line.new(bar_index, ema1332, bar_index + 100, ema1332, xloc=xloc.bar_index, extend=extend.right, color=color.new(color.fuchsia, 0), style=style, width=lineWidth+2) if showLabels createTwoLabelsOnLine(bar_index + 85, ema1332, "EMA1332", ema1332, color.fuchsia) // EMA 1665 if showEma1665 line.new(bar_index, ema1665, bar_index + 100, ema1665, xloc=xloc.bar_index, extend=extend.right, color=color.new(color.navy, 0), style=style, width=lineWidth+3) if showLabels createTwoLabelsOnLine(bar_index + 85, ema1665, "EMA1665", ema1665, color.navy) // === Таблица со значениями EMA === if showTable and barstate.islast var table emaTable = table.new(position.top_right, 2, 12, bgcolor=color.new(color.black, 80), border_color=color.white, border_width=1) table.cell(emaTable, 0, 0, "EMA", text_color=color.white, bgcolor=color.new(color.blue, 50)) table.cell(emaTable, 1, 0, "Value", text_color=color.white, bgcolor=color.new(color.blue, 50)) row = 1 if showEma6 table.cell(emaTable, 0, row, "EMA 6", text_color=color.blue) table.cell(emaTable, 1, row, formatPrice(ema6), text_color=color.blue) row := row + 1 if showEma12 table.cell(emaTable, 0, row, "EMA 12", text_color=color.yellow) table.cell(emaTable, 1, row, formatPrice(ema12), text_color=color.yellow) row := row + 1 if showEma33 table.cell(emaTable, 0, row, "EMA 33", text_color=color.green) table.cell(emaTable, 1, row, formatPrice(ema33), text_color=color.green) row := row + 1 if showEma66 table.cell(emaTable, 0, row, "EMA 66", text_color=color.lime) table.cell(emaTable, 1, row, formatPrice(ema66), text_color=color.lime) row := row + 1 if showEma111 table.cell(emaTable, 0, row, "EMA 111", text_color=color.orange) table.cell(emaTable, 1, row, formatPrice(ema111), text_color=color.orange) row := row + 1 if showEma222 table.cell(emaTable, 0, row, "EMA 222", text_color=color.red) table.cell(emaTable, 1, row, formatPrice(ema222), text_color=color.red) row := row + 1 if showEma333 table.cell(emaTable, 0, row, "EMA 333", text_color=color.maroon) table.cell(emaTable, 1, row, formatPrice(ema333), text_color=color.maroon) row := row + 1 if showEma666 table.cell(emaTable, 0, row, "EMA 666", text_color=color.purple) table.cell(emaTable, 1, row, formatPrice(ema666), text_color=color.purple) row := row + 1 if showEma1332 table.cell(emaTable, 0, row, "EMA 1332", text_color=color.fuchsia) table.cell(emaTable, 1, row, formatPrice(ema1332), text_color=color.fuchsia) row := row + 1 if showEma1665 table.cell(emaTable, 0, row, "EMA 1665", text_color=color.navy) table.cell(emaTable, 1, row, formatPrice(ema1665), text_color=color.navy)
Pine Script®指標
由Cryptsyal提供
Quarterly Theory:True OpensThe Quarterly Theory: True Opens indicator is a comprehensive tool designed to automate the identification and plotting of "True Open" levels across multiple timeframes. Based on Quarterly Theory, these levels represent the start of the second quarter (Q2) of various cycles, often serving as critical institutional reference points for price action. Included Timeframes & Logic The indicator synchronizes all calculations with New York Time (America/New_York) to ensure consistency regardless of your local timezone. It tracks the following levels: True Year Open (TYO): Identifies the start of the yearly Q2 using the "April Monday Rule." It plots the open of the first Monday in April or the preceding Sunday session if April 1st is not a Monday. True Month Open (TMO): Plots the start of the monthly Q2, occurring on the second Sunday of the month at 18:00 NY. True Week Open (TWO): Plots the start of the weekly Q2 every Monday at 18:00 NY. True Day Open (TDO): Marks the daily Q2 start at Midnight NY. True Session Open (TSO): Tracks the 90-minute session Q2 starts at 01:30, 07:30, 13:30, and 19:30 NY. True Micro Session Open (TMSO): Identifies the start of the 2nd 22.5-minute micro-quarter within every 90-minute block. Key Features Automated History Management: The script utilizes advanced array management to store and display a user-defined number of historical levels, ensuring your chart remains clean while providing context for past price reactions. Visual Customisation: Each timeframe has independent settings for color, line style (Solid, Dashed, or Dotted), and thickness. Dynamic Labels: Labels are automatically placed at the end of each line for easy identification, with a customisable Label Offset to prevent overlap with current price action. How to Use Select Timeframes: Use the input menu to toggle specific "True Opens" (TYO, TMO, TWO, TDO, TSO, TMSO) based on your trading style. Adjust History: If you are backtesting, increase the "History" inputs (e.g., TYO History) to see more past levels. Visual Alignment: Use the Label Offset setting if the text labels are too close to the current bars. -------------------------------------------------------------------------------- License & Credits This script is published under the Mozilla Public License 2.0. Author: © richardbvuwayi. -------------------------------------------------------------------------------- I can also create a tailored report that expands on the specific mathematical logic of these quarterly cycles or a slide deck to help explain the theory to others if you would find that helpful. Would you like me to generate either of those?
Pine Script®指標
由RichBvwy提供
Crash Filter (Watchlist + High Risk)Use with SPX 1W Crash Regime Filter is a low noise macro risk overlay designed to identify recession style equity drawdown environments rather than normal corrections. The model combines five conditions that historically align with major market stress: Oil shock WTI crude rises sharply over a 3 month window, optionally requiring a 52 week high. Energy spikes often act as economic shock events that pressure margins, consumers, and inflation expectations. Yield curve inversion The 10 year minus 3 month Treasury spread remains inverted for multiple weeks. Persistent inversion reflects tightening financial conditions and rising recession probability. Trend break SPX trades below its 40 week moving average. Trend rollover The 40 week moving average slope turns negative, confirming that price weakness is structural rather than temporary. Macro composite deterioration The composite ((SPX divided by unemployment squared) multiplied by inflation and fed funds) divided by M2 confirms that macro conditions and liquidity are worsening. Two states are displayed: Watchlist Oil shock plus curve inversion confirmed and macro composite deteriorating, but equity trend has not fully rolled over. This is an early warning regime. High Risk All conditions confirmed, including trend breakdown and negative MA slope. This reflects elevated recession and crash probability. This indicator is intended as a regime filter for: • Position sizing • Hedging decisions • Risk reduction • Avoiding aggressive dip buying during macro deterioration It is not a short term trading signal and is best used on weekly charts.
Pine Script®指標
由jjnos提供