- FastAPI backend with PostgreSQL database connection - Frontend dashboard with lightweight-charts - Technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands, etc.) - Trading strategy simulation and backtesting - Database connection to NAS at 20.20.20.20:5433 - Development server setup and documentation
44 lines
1.4 KiB
JavaScript
44 lines
1.4 KiB
JavaScript
export { MA } from './ma.js';
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export { BaseIndicator } from './base.js';
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export { HTSIndicator } from './hts.js';
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export { MAIndicator } from './ma_indicator.js';
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export { RSIIndicator } from './rsi.js';
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export { BollingerBandsIndicator } from './bb.js';
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export { MACDIndicator } from './macd.js';
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export { StochasticIndicator } from './stoch.js';
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export { ATRIndicator } from './atr.js';
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import { HTSIndicator } from './hts.js';
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import { MAIndicator } from './ma_indicator.js';
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import { RSIIndicator } from './rsi.js';
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import { BollingerBandsIndicator } from './bb.js';
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import { MACDIndicator } from './macd.js';
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import { StochasticIndicator } from './stoch.js';
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import { ATRIndicator } from './atr.js';
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export const IndicatorRegistry = {
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hts: HTSIndicator,
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ma: MAIndicator,
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rsi: RSIIndicator,
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bb: BollingerBandsIndicator,
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macd: MACDIndicator,
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stoch: StochasticIndicator,
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atr: ATRIndicator
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};
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/**
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* Dynamically build the available indicators list from the registry.
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* Each indicator class provides its own name and description via getMetadata().
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*/
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export function getAvailableIndicators() {
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return Object.entries(IndicatorRegistry).map(([type, IndicatorClass]) => {
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const instance = new IndicatorClass({ type, params: {}, name: '' });
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const meta = instance.getMetadata();
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return {
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type,
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name: meta.name || type.toUpperCase(),
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description: meta.description || ''
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};
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});
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}
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