Forex automatic backtesting and creating automatic strategy

I am currently interested in an area that is in the title. I was doing forex in the past but a long time ago.
So right now, I like the tradingview platform and want to trade via them by connecting to my future broker (planning to start an account in Oanda when my strategy is clearly profitable.)

As of yet, I am still gathering info.
Got this ftx.capitalise.ai for automatic backtesting, also will dive deep into backtesting with Tradingview platform and its pine scripts option.

Also found an option to create automatic bots for tradeingview via this wundertrading.com. Will look at it more.

But if you have already a working workflow, and system on how to easily automatic backtesting different strategies based on various indicators settings and then apply it to tradingview platform I would like to hear it. Thanks.

Nevermind, EOG and QL will take care of it.

Ignoring the bots component of the question and focusing on the backtesting component of it, I strongly suspect this is a simple data science problem. I’ve already seen a RandomForestRegressor (sklearn)get within 1.4% of target on predictions of crypto data after training with historical data, using no features other than the opening price and time interval elapsed since zero point. With no tuning of hyper parameters. A quick Google shows there are plenty of python stock analysis libraries/tutorials out there and combining them with a suitable machine learning regressor and hyperparameters will probably get you what you’re looking for in both backtesting and application.