ccxt VS backtesting.py

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.

We chose backtesting.py for a backtesting framework. There are several to choose from but that one seems like the most well-supported and actively worked on at the moment.

The process might vary a bit based on what you want to trade, but I've had some success with back-testing by using the IBKR API to download historical data for the stocks I want, then plugging in that data to some other back-testing framework, like https://kernc.github.io/backtesting.py/

https://kernc.github.io/backtesting.py/ offers nice way to zoom backtesting. It has some bugs, but good for visualization.

Are there any free trading platform options to import and backtest millisecond historical tick data? Do you use something like https://github.com/kernc/backtesting.py and then translate algorithms into mql4/5 or pinescript?

But even if you don't know that, you can Google the library to find its documentation and installation instructions - in this case, here where it does indeed tell you to run pip install backtesting.

Sure. My strategy is actually very simple using common indicators like MACD and RSI. Most of the code is actually based on https://github.com/kernc/backtesting.py and I use it to check whether I should buy or sell on a particular day. Hope this helps!

I'm leaning towards using the backtesting.py library, but from the example on their main page, it looks like you need to program your strategy using their library?