Awesome
candlestick-convert
This package allows you to batch OHLCV candlesticks or create them from trade (tick) datasets.
Supported formats:
- OHLCV (CCXT format)
[[time,open,high,low,close,volume]]
- OHLCV JSON
[{time: number,open: number, high: number, low: number close: number, volume: number}]
- Trade JSON
[{price: number, quantity: number, time:number}]
Features:
- Typescript support!
- CCXT support
- No Dependencies
- Performance single loop used
- Skip missing candles
Important!:
- Intervals are only supported as integers in seconds (1 minute = 60, 2 minutes = 120...).
- Only positive integer multiples are allowed between the base interval and the new interval, e.g., 60->120, 60->180.
Install:
npm install candlestick-convert
Available functions:
import {batchCandleArray, batchCandleArrayCustomInterval, batchCandleJSON, batchTicksToCandle, ticksToTickChart} from "candlestick-convert";
batchCandleArray(candledata: OHLCV[], baseInterval = 60, targetInterval = 300, includeOpenCandle = false)
//return OHLCV[]
batchCandleArrayCustomInterval(candleData: OHLCV[], intervalFunction: IntervalFunction, includeOpenCandle = false)
//return OHLCV[]
batchCandleJSON(candledata: IOHLCV [], baseInterval = 60, argetInterval = 300)
// return IOHLCV[]
batchTicksToCandle(tradedata: TradeTick[], interval = 60, includeOpenCandle = false)
// return IOHLCV[]
ticksToTickChart(tradedata: TradeTick[], numberOfTicks = 5)
// return IOHLCV[]
** includeOpenCandle allow non-complete candles in the result, useful for not normalized input data
Types
export type IOHLCV = {
time: number,
open: number,
high: number,
low: number,
close: number,
volume: number,
};
export type OHLCV = [number, number, number, number, number, number];
// OpenTime, Open, High, Low, Close, Volume
export type IntervalFunction = (timeStamp: number) => number;
// return the OpenTime for the given timestamp
export type TradeTick = {
price: number,
quantity: number,
time: number,
};
Examples
CCXT OHLCV:
import { batchCandleJSON } from "candlestick-convert";
const link_btc_1m = [
{
time: 1563625680000,
open: 0.00024824,
high: 0.00024851,
low: 0.00024798,
close: 0.00024831,
volume: 2264,
},
{
time: 1563625740000,
open: 0.00024817,
high: 0.00024832,
low: 0.00024795,
close: 0.00024828,
volume: 3145,
},
];
const baseFrame = 60; // 60 seconds
const newFrame = 120; // 120 seconds
// Convert to 2m Candles
const link_btc_2m = batchCandleJSON(link_btc_1m, baseFrame, newFrame);
Tick Chart:
import { ticksToTickChart, TradeTick } from "candlestick-convert";
const adabnb_trades = [
{
time: "1564502620356",
side: "sell",
quantity: "4458",
price: "0.00224",
tradeId: "1221272",
},
{
time: "1564503133949",
side: "sell",
quantity: "3480",
price: "0.002242",
tradeId: "1221273",
},
{
time: "1564503134553",
side: "buy",
quantity: "51",
price: "0.002248",
tradeId: "1221274",
},
];
const filtered_adabnb_trades: TradeTick[] = adabnb_trades.map((trade: any) => ({
time: trade.time,
quantity: trade.quantity,
price: trade.price,
}));
const batchSize = 2; // Every TickCandle consist 2 trade
const tickChart = ticksToTickChart(filtered_adabnb_trades, batchSize);