CyberLight / trading-vue-js

๐Ÿ’น Hackable charting lib for traders. You can draw literally ANYTHING on top of candlestick charts.

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TradingVue.js npm license GRUGLIKE build size yes

TradingVue.js is a hackable charting lib for traders. You can draw literally ANYTHING on top of candlestick charts.

Why

If you create trading software - this lib is probably for you. If you like to make custom indicators and think out of the box - this lib is most likely for you. And if you miss usability of TradingView.com in open-source libraries and can't stand it - you are definetly in the right place!


White preview

Features

  • Scrolling & zoomming as we all like
  • Simple API for making new overlays
  • No need for fancy math
  • One overlay === one .vue component
  • Fully reactive
  • Fully responsive
  • Customizable colors and fonts

Demo & Docs

Demo | click your ๐Ÿ

Install

NPM

npm i trading-vue-js

In browser

<script src="trading-vue.min.js"></script>

How to use

Minimal working example:

<template>
<trading-vue :data="this.$data"></trading-vue>
</template>
<script>

import TradingVue from 'trading-vue-js'

export default {
    name: 'app',
    components: { TradingVue },
    data() {
        return {
            ohlcv: [
                [ 1551128400000, 33,  37.1, 14,  14,  196 ],
                [ 1551132000000, 13.7, 30, 6.6,  30,  206 ],
                [ 1551135600000, 29.9, 33, 21.3, 21.8, 74 ],
                [ 1551139200000, 21.7, 25.9, 18, 24,  140 ],
                [ 1551142800000, 24.1, 24.1, 24, 24.1, 29 ],
            ]
        }
    }
}

</script>

Core philosophy

The core philosophy is Data -> Screen Mapping (DSM). The library provides you with functions that map your data (it could be anything) to screen coordinates. The lib does all the dirty work behind the scenes: scrolling, scaling, reactivity, etc.

layout.t2screen(t) // time -> x
layout.$2screen($) // price -> y
layout.t_magnet(t) // time -> neareset candle x
layout.screen2$(y) // y -> price
layout.screen2t(x) // x -> time

Using these functions and the standard js canvas API, you can do magic.

Data structure

PRO TIP: ohlcv is mandatory if you want to see something other than a white screen

{
    "ohlcv": [
        [timestamp, open, high, low, close, volume],
        ...
    ],
    "onchart": [ // Displayed ON the chart
        {
            "name": "<Indicator name>",
            "type": "<e.g. EMA, SMA>",
            "data": [
                [timestamp, ... ], // Arbitrary length
                ...
            ],
            "settings": { } // Arbitrary settings format
        },
        ...
    ],
    "offchart": [ // Displayed BELOW the chart
        {
            "name": "<Indicator name>",
            "type": "<e.g. RSI, Stoch>",
            "data": [
                [timestamp, ... ], // Arbitrary length
                ...
            ],
            "settings": { } // Arbitrary settings format
        },
        ...
    ]
}

The process of adding a new indicator is simple: first you define your own data format (should be timestamped though) and display settings. For example, EMA data might look like this:

{
    "name": "EMA, 25",
    "type": "EMA",
    "data": [
        [ 1551128400000, 3091 ],
        [ 1551132000000, 3112 ],
        [ 1551135600000, 3105 ]
    ],
    "settings": {
        "color": "#42b28a"
    }
},

Example of a simple overlay class

And then you make a new overlay class to display that data on the grid:

import Overlay from '../../mixins/overlay.js'

export default {
    name: 'EMA',
    mixins: [Overlay],
    methods: {
        draw(ctx) {
            const layout = this.$props.layout
            ctx.strokeStyle = this.color
            ctx.beginPath()

            for (var p of this.$props.data) {

                // t2screen & $2screen - special functions that
                // map your data coordinates to grid coordinates
                let x = layout.t2screen(p[0])
                let y = layout.$2screen(p[1])

                ctx.lineTo(x, y)
            }

            ctx.stroke()
        },
        use_for() { return ['EMA'] },
        data_colors() { return [this.color] }
    },
    computed: {
        color() {
            return this.$props.settings.color
        }
    }
}

That's why the title doesn't lie: you can draw ANYTHING.

Grin

trading-vue logo

Code | click your ๐Ÿ

Roadmap

  • Docs
  • Solve known issues (marked as 'TODO: IMPORTANT')
  • Performance improvements
  • Add more built-in overlays
  • Add toolbar (drawing tools)
  • Custom loayout / layout persistence
  • Fix and improve mobile version
  • Version 1.0.0 here

Development & Building

Install devDependencies

npm install

Run development enviroment (hot)

npm run dev

Server is running on http://localhost:8080

Build the bundle

npm run build

Contributing

  1. Fork ( https://github.com/C451/trading-vue-js/fork )
  2. Create your feature branch (git checkout -b cool-new-feature)
  3. Commit your changes (git commit -am 'Let's rock smth')
  4. Push to the branch (git push origin cool-new-feature)
  5. Create a new Pull Request

Please read the guidelines in CONTRIBUTING.md

Donations

ษƒTC 19vDB2pyn2ndJBH4p6We2SJNe8VZggyxfG

ETH 0xFD3e4be6d3dAfCba7aFC7BE8b3D00847682158e8

About

๐Ÿ’น Hackable charting lib for traders. You can draw literally ANYTHING on top of candlestick charts.

License:MIT License


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