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  • License MIT

Hackable charting lib for traders

Package Exports

  • trading-vue-js

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (trading-vue-js) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

trading-vue logo

TradingVue.js npm license build size Gitter DONATE

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 other open-source libraries and can't stand it - you are definetly in the right place!


White preview

Features

  • Scrolling & zooming as we all like
  • Simple API for making new overlays
  • Custom drawing tools
  • Non-time based charts (e.g. Renko)
  • One overlay === one .vue component
  • Fully reactive
  • Fully responsive
  • Customizable colors and fonts
  • Quite fast (works even with 3 mil candles)
  • Scripts (make your own indicators)

Demo & Docs

Demo | Getting Started | API Book | Built-in Overlays | Examples | 101 Project | llll Gitter | FAQ | FREE Overlay Pack | Free XP Pack | Playground

To run the examples, download the repo & npm run test

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 -> nearest 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: chart is mandatory if you want to see something other than a white screen

IMPORTANT: All data must be sorted by time (in ascending order). The main OHLCV must not contain duplicate timestamps.

Full version of DataStructure

{
    "chart": {   // Mandatory
        "type": "<Chart Type, e.g. Candles>",
        "data": [
            [timestamp, open, high, low, close, volume],
            ...
        ],
        "settings": { } // Settings (depending on Chart Type)
    },
    "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 'trading-vue-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 🐁

Roadmap

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

Progress in details: https://github.com/tvjsx/trading-vue-js/projects/1

Changelog

See CHANGELOG.md

Development & Building

Install devDependencies

npm install

Run development enviroment (hot)

npm run dev

Server is running on http://localhost:8080

Run in a CDN-like mode

npm run cdn

Server is running on http://localhost:8080

Build the bundle

npm run build

Visual testing

npm run test

Server is running on http://localhost:8080

Automatic testing

npm run auto-test

Contributing

  1. Fork ( https://github.com/tvjsx/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