tensorchart-api
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tensorchart-api is a js library that integrates accesses to tensorchart.com, with which it is possible to obtain all tensor information and statistical data. it is also possible to format the graphical data output to integrate with the tradingview
follow the instructions below to use the library
~# npm i tensorchart-api --save
const tensorChart = require('tensorchart-api');
//use with exchange and currencie Pair
const tensor = new tensorChart('binance', 'BNBBTC')
tensor.chart('5min').then(chart => {
console.log(chart)
})
{
open: 17795.83,
high: 17814.89,
low: 17755.55,
close: 17768.17,
volume: 415.001242,
heatmap: [
17820, 5.172808999999998,
17810, 26.854821000000015,
17800, 54.00554800000001,
17790, 136.30992299999997,
17780, 69.938343,
17770, 80.13468300000004,
17760, 42.58511499999998
],
heatmapStep: 10,
heatmapStepVolume: 97.20900304615498,
heatmapSells: [
17820, 4.039930999999999,
17810, 16.348587,
17800, 33.409158000000005,
17790, 68.42017600000001,
17780, 32.878633,
17770, 50.86639800000002,
17760, 28.805457999999998
],
heatmapBuys: [
17820, 1.1328779999999998,
17810, 10.506234000000001,
17800, 20.59639,
17790, 67.88974700000003,
17780, 37.05971,
17770, 29.268285,
17760, 13.779656999999997
],
heatmapDelta: [
17820, -2.9070529999999994,
17810, -5.842352999999996,
17800, -12.812767999999997,
17790, -0.5304289999999985,
17780, 4.181076999999993,
17770, -21.598113,
17760, -15.025801000000003
],
heatmapOrderBook: [
19060, 21.836, 19050,
0.06, 19040, 0.02,
19030, 0, 19020,
0.01, 19010, 121.498,
19000, 18.726000000000003, 18990,
1.81, 18980, 0.01,
18970, 0, 18960,
34.93, 18950, 0.01,
18940, 0, 18930,
0.41, 18920, 0,
18910, 36.78, 18900,
0, 18890, 0.01,
18880, 0.16, 18870,
0, 18860, 10.37,
18850, 0, 18840,
0.632, 18830, 0,
18820, 0, 18810,
40.92, 18800, 0.9479999999999998,
18790, 0, 18780,
0.02, 18770, 0.21000000000000002,
18760, 11.33, 18750,
2.44, 18740, 0.22000000000000003,
18730, 10.4, 18720,
0, 18710, 35.01200000000001,
18700, 7.890000000000001, 18690,
2.71, 18680, 0,
18670, 0.006, 18660,
14.25, 18650, 0,
18640, 3.056, 18630,
4.65, 18620, 0,
18610, 57.862, 18600,
11.44, 18590, 5.7,
18580, 4.24, 18570,
3.63,
... 408 more items
],
heatmapOrderBook2: [
18241, 3.81, 18240,
0.09, 18239, 0.07,
18238, 2.1, 18237,
0.39, 18236, 0.38,
18235, 0.15, 18234,
0.02, 18233, 0.12,
18232, 0.05, 18231,
0.04, 18230, 0.01,
18229, 0.18, 18228,
2.04, 18227, 0.35,
18226, 0.07, 18225,
0.02, 18224, 0.01,
18223, 0.09000000000000001, 18222,
0.6766666666666666, 18221, 4.883333333333333,
18220, 0.02, 18219,
0.11, 18218, 4.79,
18217, 0.27, 18216,
0.10000000000000002, 18215, 0.22,
18214, 0.04, 18213,
0.01, 18212, 0.25,
18211, 0.14, 18210,
0.01, 18209, 0.11000000000000001,
18208, 3.05, 18207,
0.89, 18206, 0.56,
18205, 0.09, 18204,
0.04, 18203, 0.02,
18202, 0, 18201,
56.105999999999995, 18200, 2.42,
18199, 0.36, 18198,
3.12, 18197, 0.33,
18196, 2.23, 18195,
0.12, 18194, 0.02,
18193, 0.2, 18192,
0.04,
... 1736 more items
],
askVolume: 8294.878752199995,
bidVolume: 4866.8986796,
vwap: 7380524.80081,
buyVolume: 180.232901,
sellVolume: 234.76834100000002,
minOrderBookHeatmapIncrement: 1,
maxOrderBookHeatmapPointVolume: 121.67743857949972,
maxOrderBook2HeatmapPointVolume: 21.398249492049217,
T: '2020-12-11T07:30:00Z',
date: 'Fri Dec 11 2020 07:30:00 GMT+0000 (UTC)',
dateInt: 1607671800
}
to realtime conncetion with websockets. use this:
//type is reg for default
//exchangeAndPair is binance-BTCUSDT default
tensor.liveChart({type: 'reg', exchangeAndPair: 'binanceBTCUSDT'}, call => {
console.log(call)
})
to connect in live chart candle values, you can use this:
//define type
//define time
//exchangeAndPair is binance on default
tensor.liveChartCandle({type: 'reg', time: '5min', exchangeAndPair: 'binanceBTCUSDT'}, call => {
console.log(call)
})
returns:
{
open: 45793.34,
close: 45859.64,
high: 45868.04,
low: 45767.61,
vol: 59.84709999999999,
time: 1631474400
}
to export tradingview format on udf protocol try this.:
//define time for get data 5min, 30min, ...
tensor.tradingViewChart('5min').then(data => {
console.log(data)
})
to get data for config json chart, you can try this.
tensor.tradingViewConfig(null).then(data => {
console.log(data)
})
end return this.
{
supports_search: true,
supports_group_request: false,
supports_marks: false,
supports_timescale_marks: false,
supports_time: true,
exchanges: { value: 'BINANCE', name: 'BINANCE', desc: 'BINANCE' },
supported_resolutions: [
'1', '3', '5',
'15', '30', '60',
'120', '240', '360',
'720', 'D', 'W',
'M'
]
}
to get symbols definitions for tradingView charts use this format code:
tensor.tradingViewSymbols(null).then(data => {
console.log(data)
})
and return this
{
name: 'BNBBTC',
description: 'BNBBTC',
type: 'crypto',
session: '24x7',
timezone: 'America/New_York',
ticker: 'BNBBTC',
minmov: 1,
pricescale: 100000000,
has_intraday: true,
intraday_multipliers: [ '1', '60' ],
supported_resolutions: [
'1', '3', '5',
'15', '30', '60',
'120', '240', '360',
'720', 'D', 'W',
'M'
],
volume_precision: 8,
data_status: 'streaming'
}
FAQs
api for https://www.tensorcharts.com/
The npm package tensorchart-api receives a total of 5 weekly downloads. As such, tensorchart-api popularity was classified as not popular.
We found that tensorchart-api demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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