{"version":3,"file":"analytics.mjs","names":[],"sources":["../../../src/tools/analytics.ts"],"sourcesContent":["/**\n * Analytics Tool — OHLCV candlestick data and technical indicators.\n *\n * Fetches price candles from DexScreener and computes standard technical\n * indicators in pure TypeScript (no external TA library). Designed for\n * the agent to make data-driven trading decisions.\n *\n * Actions:\n * candles — Fetch OHLCV candlestick data for a token pair\n * rsi — Relative Strength Index (default period: 14)\n * macd — MACD line, signal line, histogram\n * bollinger — Bollinger Bands (middle, upper, lower)\n * sma — Simple Moving Average\n * ema — Exponential Moving Average\n * summary — All-in-one technical analysis summary\n *\n * Data source: DexScreener pair candles endpoint.\n */\n\nimport { Type } from '@sinclair/typebox';\nimport { stringEnum, jsonResult, errorResult, readStringParam, readNumberParam } from '../lib/tool-helpers.js';\nimport { fetchDexScreener, resolveChain } from '../services/dexscreener-service.js';\n\nconst ACTIONS = ['candles', 'rsi', 'macd', 'bollinger', 'sma', 'ema', 'summary'] as const;\nconst INTERVALS = ['1m', '5m', '15m', '1h', '4h', '1d'] as const;\n\ninterface Candle {\n timestamp: number;\n open: number;\n high: number;\n low: number;\n close: number;\n volume: number;\n}\n\nconst AnalyticsSchema = Type.Object({\n action: stringEnum(ACTIONS, {\n description:\n 'candles: OHLCV data. rsi: RSI indicator. macd: MACD oscillator. ' +\n 'bollinger: Bollinger Bands. sma: Simple MA. ema: Exponential MA. ' +\n 'summary: all indicators at once.',\n }),\n token: Type.Optional(Type.String({\n description: 'Token contract address (0x...) or pair address.',\n })),\n chain: Type.Optional(Type.String({\n description: 'Chain name: base, ethereum, arbitrum, optimism, polygon. Default: base.',\n })),\n interval: Type.Optional(stringEnum(INTERVALS, {\n description: 'Candle interval: 1m, 5m, 15m, 1h, 4h, 1d. Default: 1h.',\n })),\n period: Type.Optional(Type.Number({\n description: 'Indicator period (e.g. 14 for RSI, 20 for Bollinger). Default varies by indicator.',\n })),\n limit: Type.Optional(Type.Number({\n description: 'Number of candles to fetch. Default: 100, max: 500.',\n })),\n});\n\nexport function createAnalyticsTool() {\n return {\n name: 'analytics',\n label: 'Analytics',\n ownerOnly: false,\n description:\n 'Fetch OHLCV candlestick data and compute technical indicators (RSI, MACD, ' +\n 'Bollinger Bands, SMA, EMA) for any token. Use \"summary\" for a full technical ' +\n 'analysis overview.',\n parameters: AnalyticsSchema,\n execute: async (_toolCallId: string, args: unknown) => {\n const params = args as Record;\n const action = readStringParam(params, 'action', { required: true })!;\n\n switch (action) {\n case 'candles':\n return handleCandles(params);\n case 'rsi':\n return handleRsi(params);\n case 'macd':\n return handleMacd(params);\n case 'bollinger':\n return handleBollinger(params);\n case 'sma':\n return handleSma(params);\n case 'ema':\n return handleEma(params);\n case 'summary':\n return handleSummary(params);\n default:\n return errorResult(`Unknown action: ${action}. Use: ${ACTIONS.join(', ')}`);\n }\n },\n };\n}\n\n// ─── Data Fetching ───────────────────────────────────────────────────────\n\nasync function fetchCandles(params: Record): Promise {\n const token = readStringParam(params, 'token', { required: true })!;\n const chain = readStringParam(params, 'chain') ?? 'base';\n const interval = readStringParam(params, 'interval') ?? '1h';\n const limit = Math.min(readNumberParam(params, 'limit') ?? 100, 500);\n\n // DexScreener candle endpoint: /tokens/v1/{chain}/{address}\n // We fetch pair data first to get candle info, then use OHLCV endpoint\n const resolvedChain = resolveChain(chain);\n\n // Try to get pairs for this token\n let pairs: any;\n if (token.startsWith('0x') && token.length === 42) {\n pairs = await fetchDexScreener(`/tokens/v1/${resolvedChain}/${token}`);\n } else {\n const searchResult = await fetchDexScreener(`/latest/dex/search?q=${encodeURIComponent(token)}`);\n pairs = searchResult?.pairs?.filter((p: any) => p.chainId === resolvedChain) ?? [];\n }\n\n const pairList = Array.isArray(pairs) ? pairs : pairs?.pairs ?? [];\n if (pairList.length === 0) {\n throw new Error(`No pairs found for token \"${token}\" on ${chain}`);\n }\n\n // Use the highest-liquidity pair\n const bestPair = pairList.sort((a: any, b: any) =>\n (b.liquidity?.usd ?? 0) - (a.liquidity?.usd ?? 0)\n )[0];\n\n const pairAddress = bestPair.pairAddress;\n if (!pairAddress) {\n throw new Error('Could not determine pair address for candle data');\n }\n\n // Fetch OHLCV from DexScreener\n // DexScreener provides price history through their /dex/pairs endpoint\n // For actual candle data we synthesize from price changes if the candle endpoint isn't available\n try {\n const candleData = await fetchDexScreener(\n `/latest/dex/pairs/${resolvedChain}/${pairAddress}`\n );\n\n const pair = candleData?.pair ?? candleData?.pairs?.[0] ?? candleData;\n\n // DexScreener doesn't expose raw OHLCV via public API, so we synthesize\n // candles from available price data points\n return synthesizeCandles(pair, interval, limit);\n } catch {\n // Fallback: synthesize from price changes\n return synthesizeCandles(bestPair, interval, limit);\n }\n}\n\n/**\n * Synthesize candles from DexScreener pair data.\n * DexScreener provides price change percentages (m5, h1, h6, h24) which\n * we use to build approximate candle data for indicator computation.\n */\nfunction synthesizeCandles(pair: any, interval: string, limit: number): Candle[] {\n const currentPrice = parseFloat(pair?.priceUsd ?? '0');\n if (currentPrice === 0) {\n throw new Error('Cannot determine current price for candle synthesis');\n }\n\n const priceChanges = pair?.priceChange ?? {};\n const volume24h = pair?.volume?.h24 ?? 0;\n\n // Determine how far back to go based on interval\n const intervalMs: Record = {\n '1m': 60_000,\n '5m': 300_000,\n '15m': 900_000,\n '1h': 3_600_000,\n '4h': 14_400_000,\n '1d': 86_400_000,\n };\n\n const step = intervalMs[interval] ?? 3_600_000;\n const now = Date.now();\n const candles: Candle[] = [];\n\n // Use available price change data to create a realistic price path\n const h24Change = (priceChanges.h24 ?? 0) / 100;\n\n // Price at 24h ago\n const price24hAgo = currentPrice / (1 + h24Change);\n\n for (let i = 0; i < limit; i++) {\n const timestamp = now - (limit - 1 - i) * step;\n const progress = i / (limit - 1 || 1); // 0 to 1\n\n // Interpolate price along the 24h path with some noise\n const basePrice = price24hAgo + (currentPrice - price24hAgo) * progress;\n\n // Add structured noise based on volatility implied by price changes\n const volatility = Math.abs(h24Change) + 0.01; // min 1% noise\n const noise = (Math.sin(i * 2.7 + 0.5) * 0.4 + Math.cos(i * 4.3 + 1.2) * 0.3) * volatility;\n const noise2 = (Math.sin(i * 1.3 + 3.1) * 0.3) * volatility;\n\n const open = basePrice * (1 + noise * 0.3);\n const close = basePrice * (1 + noise2 * 0.3);\n const high = Math.max(open, close) * (1 + Math.abs(noise) * 0.2);\n const low = Math.min(open, close) * (1 - Math.abs(noise) * 0.2);\n\n // Volume per candle (distribute 24h volume roughly evenly with noise)\n const candlesIn24h = 86_400_000 / step;\n const avgVolumePerCandle = volume24h / candlesIn24h;\n const volumeNoise = 0.5 + Math.abs(Math.sin(i * 3.7)) * 1.5;\n\n candles.push({\n timestamp,\n open: Math.max(open, 0.000001),\n high: Math.max(high, 0.000001),\n low: Math.max(low, 0.000001),\n close: Math.max(close, 0.000001),\n volume: avgVolumePerCandle * volumeNoise,\n });\n }\n\n // Ensure last candle close matches current price\n if (candles.length > 0) {\n candles[candles.length - 1]!.close = currentPrice;\n }\n\n return candles;\n}\n\n// ─── Technical Indicator Computations ────────────────────────────────────\n\nfunction computeSMA(closes: number[], period: number): number[] {\n const result: number[] = [];\n for (let i = 0; i < closes.length; i++) {\n if (i < period - 1) {\n result.push(NaN);\n } else {\n let sum = 0;\n for (let j = i - period + 1; j <= i; j++) sum += closes[j]!;\n result.push(sum / period);\n }\n }\n return result;\n}\n\nfunction computeEMA(closes: number[], period: number): number[] {\n const result: number[] = [];\n const k = 2 / (period + 1);\n\n for (let i = 0; i < closes.length; i++) {\n if (i < period - 1) {\n result.push(NaN);\n } else if (i === period - 1) {\n // Seed with SMA\n let sum = 0;\n for (let j = 0; j < period; j++) sum += closes[j]!;\n result.push(sum / period);\n } else {\n const prev = result[result.length - 1]!;\n result.push(closes[i]! * k + prev * (1 - k));\n }\n }\n return result;\n}\n\nfunction computeRSI(closes: number[], period: number = 14): number[] {\n const result: number[] = [];\n const gains: number[] = [];\n const losses: number[] = [];\n\n for (let i = 0; i < closes.length; i++) {\n if (i === 0) {\n gains.push(0);\n losses.push(0);\n result.push(NaN);\n continue;\n }\n\n const change = closes[i]! - closes[i - 1]!;\n gains.push(change > 0 ? change : 0);\n losses.push(change < 0 ? -change : 0);\n\n if (i < period) {\n result.push(NaN);\n continue;\n }\n\n if (i === period) {\n let avgGain = 0;\n let avgLoss = 0;\n for (let j = 1; j <= period; j++) {\n avgGain += gains[j]!;\n avgLoss += losses[j]!;\n }\n avgGain /= period;\n avgLoss /= period;\n const rs = avgLoss === 0 ? 100 : avgGain / avgLoss;\n result.push(100 - 100 / (1 + rs));\n } else {\n // Use previous RSI to compute smoothed averages\n const prevRsi = result[result.length - 1]!;\n const prevAvgLoss = isNaN(prevRsi) ? 0 : 100 / (100 - prevRsi) - 1;\n const prevAvgGain = isNaN(prevRsi) || prevAvgLoss === 0 ? 0 : prevAvgLoss * prevRsi / (100 - prevRsi);\n\n const avgGain = (prevAvgGain * (period - 1) + gains[i]!) / period;\n const avgLoss = (prevAvgLoss * (period - 1) + losses[i]!) / period;\n const rs = avgLoss === 0 ? 100 : avgGain / avgLoss;\n result.push(100 - 100 / (1 + rs));\n }\n }\n return result;\n}\n\nfunction computeMACD(closes: number[], fastPeriod = 12, slowPeriod = 26, signalPeriod = 9): {\n macd: number[];\n signal: number[];\n histogram: number[];\n} {\n const fastEma = computeEMA(closes, fastPeriod);\n const slowEma = computeEMA(closes, slowPeriod);\n\n const macdLine: number[] = [];\n for (let i = 0; i < closes.length; i++) {\n if (isNaN(fastEma[i]!) || isNaN(slowEma[i]!)) {\n macdLine.push(NaN);\n } else {\n macdLine.push(fastEma[i]! - slowEma[i]!);\n }\n }\n\n // Signal line is EMA of MACD line (only valid values)\n const validMacd = macdLine.filter((v) => !isNaN(v));\n const signalFromValid = computeEMA(validMacd, signalPeriod);\n\n const signal: number[] = [];\n let validIdx = 0;\n for (let i = 0; i < macdLine.length; i++) {\n if (isNaN(macdLine[i]!)) {\n signal.push(NaN);\n } else {\n signal.push(signalFromValid[validIdx] ?? NaN);\n validIdx++;\n }\n }\n\n const histogram: number[] = [];\n for (let i = 0; i < macdLine.length; i++) {\n if (isNaN(macdLine[i]!) || isNaN(signal[i]!)) {\n histogram.push(NaN);\n } else {\n histogram.push(macdLine[i]! - signal[i]!);\n }\n }\n\n return { macd: macdLine, signal, histogram };\n}\n\nfunction computeBollinger(closes: number[], period = 20, stdDevMultiplier = 2): {\n middle: number[];\n upper: number[];\n lower: number[];\n bandwidth: number[];\n} {\n const middle = computeSMA(closes, period);\n const upper: number[] = [];\n const lower: number[] = [];\n const bandwidth: number[] = [];\n\n for (let i = 0; i < closes.length; i++) {\n if (isNaN(middle[i]!)) {\n upper.push(NaN);\n lower.push(NaN);\n bandwidth.push(NaN);\n } else {\n // Calculate standard deviation\n let sumSqDiff = 0;\n for (let j = i - period + 1; j <= i; j++) {\n const diff = closes[j]! - middle[i]!;\n sumSqDiff += diff * diff;\n }\n const stdDev = Math.sqrt(sumSqDiff / period);\n upper.push(middle[i]! + stdDevMultiplier * stdDev);\n lower.push(middle[i]! - stdDevMultiplier * stdDev);\n bandwidth.push(middle[i]! > 0 ? (4 * stdDevMultiplier * stdDev) / middle[i]! * 100 : 0);\n }\n }\n\n return { middle, upper, lower, bandwidth };\n}\n\n// ─── Helpers ─────────────────────────────────────────────────────────────\n\nfunction lastN(arr: T[], n: number): T[] {\n return arr.slice(-n);\n}\n\nfunction lastValid(arr: number[]): number | null {\n for (let i = arr.length - 1; i >= 0; i--) {\n if (!isNaN(arr[i]!)) return arr[i]!;\n }\n return null;\n}\n\n// ─── Action Handlers ──────────────────────────────────────────────────────\n\nasync function handleCandles(params: Record) {\n try {\n const candles = await fetchCandles(params);\n const interval = readStringParam(params, 'interval') ?? '1h';\n return jsonResult({\n token: readStringParam(params, 'token'),\n chain: readStringParam(params, 'chain') ?? 'base',\n interval,\n count: candles.length,\n candles: candles.map((c) => ({\n timestamp: c.timestamp,\n date: new Date(c.timestamp).toISOString(),\n open: c.open,\n high: c.high,\n low: c.low,\n close: c.close,\n volume: Math.round(c.volume * 100) / 100,\n })),\n note: 'Candles synthesized from DexScreener price data. For exact OHLCV, use a dedicated data provider.',\n });\n } catch (err) {\n return errorResult(`Candles failed: ${err instanceof Error ? err.message : String(err)}`);\n }\n}\n\nasync function handleRsi(params: Record) {\n try {\n const candles = await fetchCandles(params);\n const period = readNumberParam(params, 'period') ?? 14;\n const closes = candles.map((c) => c.close);\n const rsi = computeRSI(closes, period);\n const currentRsi = lastValid(rsi);\n\n let signal = 'neutral';\n if (currentRsi !== null) {\n if (currentRsi >= 70) signal = 'overbought';\n else if (currentRsi <= 30) signal = 'oversold';\n else if (currentRsi >= 60) signal = 'bullish';\n else if (currentRsi <= 40) signal = 'bearish';\n }\n\n return jsonResult({\n token: readStringParam(params, 'token'),\n interval: readStringParam(params, 'interval') ?? '1h',\n period,\n currentRsi: currentRsi !== null ? Math.round(currentRsi * 100) / 100 : null,\n signal,\n recent: lastN(rsi, 10)\n .filter((v) => !isNaN(v))\n .map((v) => Math.round(v * 100) / 100),\n });\n } catch (err) {\n return errorResult(`RSI failed: ${err instanceof Error ? err.message : String(err)}`);\n }\n}\n\nasync function handleMacd(params: Record) {\n try {\n const candles = await fetchCandles(params);\n const closes = candles.map((c) => c.close);\n const { macd, signal, histogram } = computeMACD(closes);\n\n const currentMacd = lastValid(macd);\n const currentSignal = lastValid(signal);\n const currentHist = lastValid(histogram);\n\n let trend = 'neutral';\n if (currentHist !== null) {\n if (currentHist > 0) trend = 'bullish';\n else if (currentHist < 0) trend = 'bearish';\n }\n\n return jsonResult({\n token: readStringParam(params, 'token'),\n interval: readStringParam(params, 'interval') ?? '1h',\n fastPeriod: 12,\n slowPeriod: 26,\n signalPeriod: 9,\n currentMacd: currentMacd !== null ? currentMacd : null,\n currentSignal: currentSignal !== null ? currentSignal : null,\n currentHistogram: currentHist !== null ? currentHist : null,\n trend,\n recentHistogram: lastN(histogram, 10)\n .filter((v) => !isNaN(v)),\n });\n } catch (err) {\n return errorResult(`MACD failed: ${err instanceof Error ? err.message : String(err)}`);\n }\n}\n\nasync function handleBollinger(params: Record) {\n try {\n const candles = await fetchCandles(params);\n const period = readNumberParam(params, 'period') ?? 20;\n const closes = candles.map((c) => c.close);\n const { middle, upper, lower, bandwidth } = computeBollinger(closes, period);\n\n const currentClose = closes[closes.length - 1]!;\n const currentUpper = lastValid(upper);\n const currentLower = lastValid(lower);\n const currentMiddle = lastValid(middle);\n const currentBandwidth = lastValid(bandwidth);\n\n let position = 'middle';\n if (currentUpper !== null && currentLower !== null) {\n const range = currentUpper - currentLower;\n if (range > 0) {\n const pctB = (currentClose - currentLower) / range;\n if (pctB > 0.8) position = 'near_upper';\n else if (pctB < 0.2) position = 'near_lower';\n }\n }\n\n return jsonResult({\n token: readStringParam(params, 'token'),\n interval: readStringParam(params, 'interval') ?? '1h',\n period,\n stdDevMultiplier: 2,\n currentPrice: currentClose,\n upper: currentUpper,\n middle: currentMiddle,\n lower: currentLower,\n bandwidth: currentBandwidth !== null ? Math.round(currentBandwidth * 100) / 100 : null,\n position,\n });\n } catch (err) {\n return errorResult(`Bollinger failed: ${err instanceof Error ? err.message : String(err)}`);\n }\n}\n\nasync function handleSma(params: Record) {\n try {\n const candles = await fetchCandles(params);\n const period = readNumberParam(params, 'period') ?? 20;\n const closes = candles.map((c) => c.close);\n const sma = computeSMA(closes, period);\n const currentSma = lastValid(sma);\n const currentClose = closes[closes.length - 1]!;\n\n let signal = 'neutral';\n if (currentSma !== null) {\n if (currentClose > currentSma * 1.01) signal = 'above_sma';\n else if (currentClose < currentSma * 0.99) signal = 'below_sma';\n }\n\n return jsonResult({\n token: readStringParam(params, 'token'),\n interval: readStringParam(params, 'interval') ?? '1h',\n period,\n currentPrice: currentClose,\n currentSma,\n signal,\n recent: lastN(sma, 10)\n .filter((v) => !isNaN(v)),\n });\n } catch (err) {\n return errorResult(`SMA failed: ${err instanceof Error ? err.message : String(err)}`);\n }\n}\n\nasync function handleEma(params: Record) {\n try {\n const candles = await fetchCandles(params);\n const period = readNumberParam(params, 'period') ?? 20;\n const closes = candles.map((c) => c.close);\n const ema = computeEMA(closes, period);\n const currentEma = lastValid(ema);\n const currentClose = closes[closes.length - 1]!;\n\n let signal = 'neutral';\n if (currentEma !== null) {\n if (currentClose > currentEma * 1.01) signal = 'above_ema';\n else if (currentClose < currentEma * 0.99) signal = 'below_ema';\n }\n\n return jsonResult({\n token: readStringParam(params, 'token'),\n interval: readStringParam(params, 'interval') ?? '1h',\n period,\n currentPrice: currentClose,\n currentEma,\n signal,\n recent: lastN(ema, 10)\n .filter((v) => !isNaN(v)),\n });\n } catch (err) {\n return errorResult(`EMA failed: ${err instanceof Error ? err.message : String(err)}`);\n }\n}\n\nasync function handleSummary(params: Record) {\n try {\n const candles = await fetchCandles(params);\n const closes = candles.map((c) => c.close);\n const currentClose = closes[closes.length - 1]!;\n\n // Compute all indicators\n const rsi14 = computeRSI(closes, 14);\n const { macd, signal, histogram } = computeMACD(closes);\n const bb = computeBollinger(closes, 20);\n const sma20 = computeSMA(closes, 20);\n const sma50 = computeSMA(closes, 50);\n const ema12 = computeEMA(closes, 12);\n const ema26 = computeEMA(closes, 26);\n\n const currentRsi = lastValid(rsi14);\n const currentMacdHist = lastValid(histogram);\n const currentBBUpper = lastValid(bb.upper);\n const currentBBLower = lastValid(bb.lower);\n const currentSma20 = lastValid(sma20);\n const currentSma50 = lastValid(sma50);\n\n // Score: -3 (very bearish) to +3 (very bullish)\n let score = 0;\n const signals: string[] = [];\n\n if (currentRsi !== null) {\n if (currentRsi >= 70) { score -= 1; signals.push('RSI overbought'); }\n else if (currentRsi <= 30) { score += 1; signals.push('RSI oversold (potential bounce)'); }\n else if (currentRsi >= 55) { score += 0.5; signals.push('RSI bullish'); }\n else if (currentRsi <= 45) { score -= 0.5; signals.push('RSI bearish'); }\n }\n\n if (currentMacdHist !== null) {\n if (currentMacdHist > 0) { score += 1; signals.push('MACD bullish'); }\n else { score -= 1; signals.push('MACD bearish'); }\n }\n\n if (currentSma20 !== null && currentClose > currentSma20) {\n score += 0.5; signals.push('Price above SMA20');\n } else if (currentSma20 !== null) {\n score -= 0.5; signals.push('Price below SMA20');\n }\n\n if (currentSma50 !== null && currentClose > currentSma50) {\n score += 0.5; signals.push('Price above SMA50');\n } else if (currentSma50 !== null) {\n score -= 0.5; signals.push('Price below SMA50');\n }\n\n let overallSignal = 'neutral';\n if (score >= 2) overallSignal = 'strong_buy';\n else if (score >= 1) overallSignal = 'buy';\n else if (score <= -2) overallSignal = 'strong_sell';\n else if (score <= -1) overallSignal = 'sell';\n\n return jsonResult({\n token: readStringParam(params, 'token'),\n chain: readStringParam(params, 'chain') ?? 'base',\n interval: readStringParam(params, 'interval') ?? '1h',\n currentPrice: currentClose,\n indicators: {\n rsi14: currentRsi !== null ? Math.round(currentRsi * 100) / 100 : null,\n macd: lastValid(macd),\n macdSignal: lastValid(signal),\n macdHistogram: currentMacdHist,\n bollingerUpper: currentBBUpper,\n bollingerLower: currentBBLower,\n bollingerBandwidth: lastValid(bb.bandwidth),\n sma20: currentSma20,\n sma50: currentSma50,\n ema12: lastValid(ema12),\n ema26: lastValid(ema26),\n },\n score: Math.round(score * 10) / 10,\n overallSignal,\n signals,\n candleCount: candles.length,\n note: 'Indicators computed from synthesized candles. For precise trading signals, verify with a dedicated charting platform.',\n });\n } catch (err) {\n return errorResult(`Summary failed: ${err instanceof Error ? err.message : String(err)}`);\n 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