// src/lib/strategies.js // -------------------- public config -------------------- export const STRATEGIES = [ { id: 'long_only', label: 'Aggressive Long Only', strategy: 'long_only', tradingMode: 'aggressive', fee: 0.0005 }, { id: 'conservative_long', label: 'Conservative Long', strategy: 'long_only', tradingMode: 'conservative', fee: 0.0002 }, { id: 'long_short', label: 'Long/Short', strategy: 'long_short', tradingMode: 'aggressive', fee: 0.0007 }, { id: 'neutral', label: 'Market Neutral', strategy: 'market_neutral', tradingMode: 'neutral', fee: 0.0005 }, ]; // Simple pleasant palette (baseline uses its own dashed gray) const PALETTE = [ '#4F46E5', // indigo '#EF4444', // red '#10B981', // emerald '#F59E0B', // amber '#06B6D4', // cyan '#A855F7', // violet '#64748B', // slate ]; export function getStrategyColor(id, isBaseline = false, i = 0) { if (isBaseline) return '#7c7c7c'; const map = { long_only: '#4F46E5', conservative_long: '#1D4ED8', long_short: '#EF4444', market_neutral: '#10B981', }; return map[id] || PALETTE[i % PALETTE.length]; } // -------------------- core exports -------------------- /** * Buy & Hold equity curve from prices or NAV-like fields. * @param {Array} seq sorted rows (ascending by date) * @param {number} start starting capital (e.g., 100000) * @returns {number[]} equity series aligned to seq */ export function computeBuyHoldEquity(seq, start = 100000) { if (!Array.isArray(seq) || !seq.length) return []; // If there's a NAV-like field, just rescale to start const nav = pickNavSeries(seq); if (nav) { const [y0] = nav; if (isFinite(y0) && y0 !== 0) return nav.map(y => (y / y0) * start); } // Else use price series const prices = pickPriceSeries(seq); if (!prices) return Array(seq.length).fill(start); const [p0] = prices; if (!isFinite(p0) || p0 <= 0) return Array(seq.length).fill(start); return prices.map(p => (p / p0) * start); } /** * General strategy equity. Tries NAV first; otherwise builds from price + position. * @param {Array} seq sorted rows * @param {number} start starting capital * @param {number} fee per-trade proportional fee (e.g., 0.0005) * @param {string} strategyId see STRATEGIES ids * @param {string} tradingMode 'aggressive' | 'conservative' | 'neutral' * @returns {number[]} equity series aligned to seq */ export function computeStrategyEquity(seq, start = 100000, fee = 0, strategyId = 'long_only', tradingMode = 'aggressive') { if (!Array.isArray(seq) || !seq.length) return []; // Fast path: NAV-like field available -> rescale const nav = pickNavSeries(seq); if (nav) { const [y0] = nav; if (isFinite(y0) && y0 !== 0) return nav.map(y => (y / y0) * start); } // Fallback: price + position simulation const prices = pickPriceSeries(seq); if (!prices) return Array(seq.length).fill(start); // Build a position vector. // If seq has explicit 'position' use it; else derive from strategyId (long only etc.) let positions = seq.map(r => { const v = numberOrUndefined(r.position ?? r.pos ?? r.signal); if (isFinite(v)) return clampPos(v); return undefined; }); const hasExplicitPos = positions.some(v => v !== undefined); if (!hasExplicitPos) { // derive a dumb position rule based on strategyId // long_only: always +1 // long_short: +1 if today's price >= yesterday, else -1 // market_neutral: 0.5 long, 0.5 short (approx 0 exposure here => 0) positions = prices.map((_, i) => { if (strategyId === 'market_neutral') return 0; if (strategyId === 'long_short' && i > 0) return prices[i] >= prices[i - 1] ? +1 : -1; return +1; }); } else { positions = positions.map(v => (v === undefined ? 0 : clampPos(v))); } // Risk scaling for conservative mode (smaller gross exposure) const riskScale = tradingMode === 'conservative' ? 0.5 : tradingMode === 'neutral' ? 0.5 : 1.0; // Equity simulation const eq = Array(seq.length).fill(NaN); eq[0] = start; for (let i = 1; i < seq.length; i++) { const p0 = prices[i - 1], p1 = prices[i]; if (!isFinite(p0) || !isFinite(p1) || p0 <= 0) { eq[i] = eq[i - 1]; continue; } const ret = (p1 / p0) - 1; // raw asset return const posPrev = positions[i - 1] * riskScale; const posNow = positions[i] * riskScale; // fee on turnover (change in absolute exposure) const turnover = Math.abs(Math.abs(posNow) - Math.abs(posPrev)); const feeHit = fee > 0 ? (1 - fee * turnover) : 1; const eqPrev = eq[i - 1]; const eqNext = eqPrev * (1 + posPrev * ret) * feeHit; eq[i] = isFinite(eqNext) ? eqNext : eqPrev; } return eq; } // -------------------- internals -------------------- // Try common NAV-like fields function pickNavSeries(seq) { const fields = ['balance', 'nav', 'equity', 'account_value', 'account_equity', 'net_value', 'nav_value']; const arr = tryPickNumericArray(seq, fields); if (!arr) return null; const finite = arr.filter(isFinite); return finite.length ? arr : null; } // Try common price fields function pickPriceSeries(seq) { const fields = [ 'close','Close','closing_price', 'adj_close','adjClose', 'price','price_close','px','c','p', 'bh_price','last', ]; const arr = tryPickNumericArray(seq, fields); if (arr) return arr; // If prices truly missing, but we had NAV -> approximate price from NAV ratios (rare) const nav = pickNavSeries(seq); if (nav) { const base = nav[0]; if (isFinite(base) && base !== 0) return nav.map(v => v / base); } return null; } function tryPickNumericArray(seq, fields) { for (const f of fields) { const arr = seq.map(r => numberOrUndefined(r?.[f])); if (arr.some(v => v !== undefined)) { // Ensure at least half are finite numbers const good = arr.filter(isFinite).length; if (good >= Math.ceil(seq.length / 2)) return arr.map(v => (isFinite(v) ? v : NaN)); } } return null; } function numberOrUndefined(x) { const n = typeof x === 'string' ? Number(x) : (typeof x === 'number' ? x : NaN); return isFinite(n) ? n : undefined; } function clampPos(v) { // Normalize any weird position magnitudes to [-1, 1] if (!isFinite(v)) return 0; if (v > 1) return 1; if (v < -1) return -1; // small noise -> 0 if (Math.abs(v) < 1e-6) return 0; return v; }