1import{r as o,j as e,av as n}from"./index-CCMymUwH.js";const i=[{q:"Does the GOAT Toolkit repaint?",a:"No. The GOAT Score and all structural detections (BOS, CHoCH, Order Blocks, Fair Value Gaps) are non-repaint. Signals are confirmed on candle close and never change retroactively. This applies to all three indicators â G.O.A.T. Toolkit v8.1, Neural Engine v5.2, and Macro Command Center v4.3."},{q:"What assets does it work on â stocks, crypto, forex?",a:"All three indicators work on any liquid asset available on TradingView: US and global stocks, crypto (BTC, ETH, altcoins), forex majors and minors, indices (S&P 500, Nasdaq 100, DAX), commodities (gold, oil), futures, and ETFs. The auto market detection adjusts benchmarks automatically â crypto pairs benchmark to BTC, forex to DXY, stocks to NDX/SPX."},{q:"How is the 0â100 GOAT Score calculated?",a:"The composite score aggregates 9+ individually weighted sub-scores: Trend Strength (7 SMA stack), Momentum, RSI, Bollinger/Squeeze pressure, Volume with churn detection, Consolidation pattern recognition, Ichimoku Cloud scoring, Smart Money Concepts structural analysis, and Setup detection. Each sub-score is penalized by market health conditions and combined into a single actionable number."},{q:"What is the Exit Pressure Engine?",a:"A three-component scoring system (0â100) that quantifies when to exit a trade. Level Pressure (0â60) measures distance from key levels. Drop Pressure (0â25) tracks score velocity decline. Structural Pressure (0â70) detects BOS/CHoCH against your position. Soft Exit fires at 50â75, Hard Exit at â¥75."},{q:"Can I use these indicators for prop firm trading?",a:"Yes. The no-repaint design, ATR-based trailing stops, and R:R target visualizer are built with prop firm rules in mind. The GOAT Score filter helps you avoid low-probability trades that blow evaluation accounts, and the 53 alert conditions (16 GOAT + 17 Neural + 20 MCC) let you set exact rules for your funded account strategy."},{q:"What makes the Neural Engine different from regular trendline tools?",a:"Hand-drawn trendlines are subjective â you draw them to fit your bias. The Neural Engine computes trendlines algorithmically across three ranges (50, 100, 250 bars), scores each by touch quality, selects the strongest, and wraps it in a regime-aware channel. It also runs a 10-stage momentum lifecycle using double-smoothed Heikin-Ashi, so momentum is quantified (0â100) rather than guessed."},{q:"How does the 28-asset scanner work in the MCC?",a:"The Macro Command Center tracks 28 assets across 4 sectors (Tech Leaders, Commodities, Broad Sectors, Global Macro) using Ichimoku-based relative strength. Each asset is ranked vs. configurable benchmarks. Challenger Mode lets you pit your specific ticker against all 28 to see if it's outperforming the broader market â so you stop trading laggards."},{q:"Do all three indicators work together?",a:"Yes â they converge through the Trinity Convergence Wave inside Macro Command Center v4.3. G.O.A.T. Toolkit v8.1 (Pillar 1) scores the environment. Neural Engine v5.2 (Pillar 2) provides execution-grade entries via trendlines and momentum staging. Macro Command Center v4.3 (Pillar 3) gives macro context, cross-asset confirmation, and fuses all three into one readable verdict. Together: 53 alert conditions (16 GOAT + 17 Neural + 20 MCC), 1 workflow. Each indicator is valuable alone, but the system is greater than the sum of its parts."}];function l({item:t,isOpen:a,onClick:r}){return e.jsxs("div",{className:"border-b border-white/5 last:border-0",children:[e.jsxs("button",{onClick:r,className:"w-full flex items-start justify-between gap-4 py-5 text-left min-h-[48px]","aria-expanded":a,children:[e.jsx("h3",{className:"text-sm sm:text-base font-semibold text-white pr-4",children:t.q}),e.jsx(n,{className:`w-5 h-5 text-slate-500 flex-shrink-0 mt-0.5 transition-transform duration-200 ${a?"rotate-180":""}`})]}),a&&e.jsx("div",{className:"pb-5 -mt-1",children:e.jsx("p",{className:"text-sm text-slate-400 leading-relaxed",children:t.a})})]})}
1function d(){const[t,a]=o.useState(null);return e.jsx("section",{id:"indicators-faq",className:"py-16 sm:py-24",children:e.jsxs("div",{className:"max-w-3xl mx-auto px-4 sm:px-6 lg:px-8",children:[e.jsxs("div",{className:"text-center mb-10",children:[e.jsx("p",{className:"text-sm font-semibold tracking-[0.25em] uppercase text-[#C5A24D] mb-3",children:"FAQ"}),e.jsx("h2",{className:"text-2xl sm:text-4xl font-black text-white",children:"Common Questions About Our TradingView Indicators"})]}),e.jsx("div",{className:"bg-[#111827]/60 border border-white/5 rounded-xl px-5 sm:px-8",children:i.map((r,s)=>e.jsx(l,{item:r,isOpen:t===s,onClick:()=>a(t===s?null:s)},s))})]})})}export{d as default};
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.