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Trend and reversal detection patterns available.","maintainers":[{"name":"jaimelias","email":"escribeme@jaimelias.com"}],"readme":"# Precision Trading Indicators\nHigh precision trading indicators: RSI, Bollinger Bands, MACD, EMA, MA, many moving averages and oscillators. Trend and reversal detection patterns available.\n\n[![npm version](https://img.shields.io/npm/v/precision-trading-indicators.svg)](https://www.npmjs.com/package/precision-trading-indicators)\n\n\n## Dependencies\n\n[BigNumber.js V9.1](https://github.com/MikeMcl/bignumber.js)\n\n## Load\n\n---\n\n### Browser\n\n```html\n<script src='/bignumber.min.js'></script>\n```\n\n```html\n<script src='/precision-trading-indicators.min.js'></script>\n```\n\n\n### Node\n\n```bash\nnpm install bignumber.js\n```\n\n```bash\nnpm install precision-trading-indicators\n```\n\n## Config\n---\n\n### Browser\n\n```javascript\nconst indicators = new PrecisionTradingIndicators.default(BigNumber);\n```\n\n### Node\n\n```javascript\nimport BigNumber from 'bignumber.js';\nimport PrecisionTradingIndicators from 'precision-trading-indicators';\nconst indicators = new PrecisionTradingIndicators(BigNumber);\n```\n\n## Usage\n---\n\n```javascript\n\nimport PrecisionTradingIndicators from '../precision-trading-indicators.js';\nimport BigNumber from 'bignumber.js';\nconst indicators = new PrecisionTradingIndicators(BigNumber);\n\nconst {\n\tEMA, \n    MA, \n    MACD, \n    BollingerBands,\n\tIchimokuCloud,\n    ADX, \n    MFI, \n    RSI, \n    STOCHASTIC_RSI, \n\tgetMomentum,\n\tgetCandlestickPattern,\n\tfindLastCross,\n} = indicators;\n\nconst period = 14;\n\nconst response = await fetch('https://api.gpu.trading/v1/vpn/candlesticks/AAPL/365')\nconst json = await response.json()\n\nconst ohlcv = {\n\topen: json.map(item => BigNumber(item.open)),\n\thigh: json.map(item => BigNumber(item.high)),\n\tlow: json.map(item => BigNumber(item.low)),\n\tclose: json.map(item => BigNumber(item.close)),\n\tvolume: json.map(item => BigNumber(item.volume)),\n\ttimestamp: json.map(item => item.timestamp)\n}\n\nconst {open, high, low, close, volume} = ohlcv;\nconst rsi = RSI(close, period).get(); //outputs and array\n\n//STOCHASTIC_RSI\n//outputs an object with 4 array elements {K <array>, D <array>, crossInterval <number>, crossType <string: 'death' || 'golden'>}\n//STOCHASTIC_RSI_VALUES are in D.\n//crossInterval indicates in which intervar K and D lines crossed. 0 for the current interval, 1 for the previous interval...\n//crossInterval indicates the current trend after the last cross.\nconst stochasticRsi = STOCHASTIC_RSI(rsi.rsi, period, 3, 3).get();\n\n\n//MACD\n//outputs an object with 5 array elements  {diff <array>, dea <array>, histogram <array>, crossInterval <number>, crossType <string: 'death' || 'golden'>}\n//crossInterval indicates in which intervar diff and dea lines crossed. 0 for the current interval, 1 for the previous interval...\n//crossInterval indicates the current trend after the last cross..\nconst macd = MACD(close, 12, 26, 9).get();\nconst {diff} = macd\n\n//BollingerBands\n//outputs an object with 4 array elements {upper <array>, lower <array>, mid <array>, loc <number>}\n//loc is a percentage numeric representation of the current price in bollinger bands.\nconst bollingerBands = BollingerBands(close, 20, 2).get();\nconst {mid, loc} = bollingerBands;\n\n\nconst adx = ADX(ohlcv, period).get(); //outputs and array\nconst mfi = MFI(ohlcv, period).get(); //outputs and array\nconst ema20 = EMA(close, 20).get(); //outputs and array\nconst ema40 = EMA(close, 40).get(); //outputs and array\nconst momentum = getMomentum({close, fast: ema20, slow: ema40}); //ouputs a <string: 'up' ||  'strong up' || 'down' || 'strong down' || 'neutral'>\nconst ma = MA([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 200).get(); //outputs and array\nconst candlestickPattern = getCandlestickPattern(ohlcv).get();\n//console.log({ema20, ema40, ma, rsi, stochasticRsi, macd, trend, momentum, bollingerBands, adx, mfi, candlestickPattern});\n\nconst ichi = IchimokuCloud(ohlcv).get()\nconst {conversionLine, baseLine, leadingSpanA, leadingSpanB, laggingSpan} = ichi\n\nconst csv = conversionLine.map((v, i) => {\n\n\treturn {\n\t\tconversionLine: conversionLine[i], \n\t\tbaseLine: baseLine[i],\n\t\tleadingSpanA: leadingSpanA[i], leadingSpanB:\n\t\tleadingSpanB[i],\n\t\tlaggingSpan: (typeof laggingSpan[i] === 'undefined') ? '' : laggingSpan[i]}\n\n})\n\nconsole.log(JSON.stringify(csv))\n\n```","readmeFilename":"README.md"}