Update: This repo was created to provide a solution to this github issue: tradingview/lightweight-charts#50 (comment) Now its basically solved, adding panes is now supported, but still if you don't want to deal with javascript my chart is still a great solution to easily plot your data.

Hey everyone, I hope you enjoy this repo.

I wanted to make this since 2016. I used the LWC library and built a standardarized chart where its easy to render and plot your trading data.

Its also possible to add panes and since in order to use this you just send a JSON file to the chart -- you can use whatever coding language to build your strategies or indicators. The example in this case is with python.

You can plot any indicators, your trading signals or even your equity curve. (I haven't tested it for zigzag and others a bit more exotic indicators, but I guess it should work fine)

Looks like this if everything goes well:

image

It runs localy, and the only thing you need is to render the json data through the app.py(by simply running it) file on the tradingview chart which is the index and main files.

The tricky part is the main function within strategy.py but I think you guys will figure it out.

Check here (strategy.py -- line 34)

data['Close'] = data['Close'].round(2) # Round Close price data['Open'] = data['Open'].round(2) # Round Open price data['High'] = data['High'].round(2) # Round High price data['Low'] = data['Low'].round(2) # Round Low price data['Volume'] = data['Volume'].round(0) # Volume might be an integer, so round to 0 decimal places

I rounded the numbers, mostly for aethetic purposes.

data.index = pd.to_datetime(data.index) data['time'] = data.index.astype('int64') // 10**9 # This should correctly convert to UNIX time in seconds

You also may need to convert your Date to Unix. Important is to name the Date dolume to "time" and run:

data.reset_index(drop=True, inplace=True)

Also important is to run this:

data.fillna(value={'SMA20': 0, 'SMA50': 0, 'Signal': 0, 'Units': 0, 'Holdings': 0, 'Cash': 0, 'Equity': 0, 'Volume': 0}, inplace=True)

For the data we need to select which columns we want to render. This you will find in line 64 within def main.

For metadata you will have to pay attention on 4 things:

1. set up the heights of your charts when you add a new chart and include it in the metadata (a chart can also be a new pane, just make the timescale equal to False
2. when adding candlesticks and volume keep the structure as you see it in the example
3. for any other time series just choose the type (area, line, histogram), the color and on which chart/pane you want to plot it on.
4. Always use this script on line 76-81

Always send out your data using "data" and "metadata" in the main function

If you want to plot your signals always use the name "Signal" in your data and also make sure the values are either -1 for short and 1 for long trades.

I created an issue where you can go and comment with any ideas or feedback. Thank you and happy plotting everyone :)