ccxt VS tfjs

CCXT

I would sincerely advise you to use a ready to use python library for this like https://github.com/ccxt/ccxt

CCXT has good documentation on what exchanges and API's are supported which is very helpful. https://github.com/ccxt/ccxt/wiki/Exchange-Markets-By-Country

Consider using https://github.com/ccxt/ccxt for crypto exchange interaction, which of course will support Binance too

Check out https://github.com/hummingbot/hummingbot (disclosure: my project). We just added a Binance candles feature where you can construct custom OHLCV candles and TA indicators. You should also check out https://github.com/ccxt/ccxt which has broader exchange support but less order book data management than Hummingbot.

Or if you stick to JavaScript and willing to learn the programming part, then https://github.com/ccxt/ccxt (which is now merged with CCXT Pro but still for free).

Ccxt works great for me and it's free and open-source. You can connect and execute on multiple exchanges. It works with Javascript, Python and PHP.

if you're going crypto, try CCXT https://github.com/ccxt/ccxt

Essentially, to create an automated trading system using TradingView strategies, you would need to acquire the signal using webhooks. Once you acquire the signal, you can use whatever data send with it to manage orders, using the API of your broker. Usually, there are SDKs available to make this process easier. For crypto, one of the most well known SDKs is called CCXT. There are also some made for traditional brokers too. It is a simple process but it does take some experience with programming systems to set up.

TensorFlow.js

Many people seem to be unaware of tensorflow.js, an official JS implementation of TF

https://github.com/tensorflow/tfjs

I'd love to see PyTorch in JS, but I think unless you get it running on the GPU it won't be able to do much.

TensorflowJS GitHub Repository

Also, Tensorflow.js WebGPU backend has been in the works for quite some time: https://github.com/tensorflow/tfjs/tree/master/tfjs-backend-...

It's a pity that tfjs never truly developed any decent ops. E.g. you need lgamma to implement the cap for zero-inflated poisson regression and tfjs simply doesn't have that: https://github.com/tensorflow/tfjs/issues/2011

People have been doing it for long with WebGL, see eg https://github.com/tensorflow/tfjs and https://cloudblogs.microsoft.com/opensource/2021/09/02/onnx-...

thanks, no not unity, going to show it as a demo with threejs + tensorflow on the web. I found a github request to add face orientation https://github.com/tensorflow/tfjs/issues/3835 looks like they assigned someone to add it but doesn't look like its available yet, but there's some posts about the math I can use to get rotations based on some of the landmarks

There already exist a wide variety of neural network inference engines that run in web browsers (e.g. TensorFlow.js and, my personal favorite for use with PyTorch models, ONNX Runtime Web), but pre- and post-processing has always required imperative manipulations on flat buffers rather than a clean ndarray interface.

Full docs and code: https://github.com/tensorflow/tfjs/tree/master/e2e/benchmarks/local-benchmark