I just got another pick of a free PDF on artificial intelligence. This contributor swears by this book as well as a Facebook group for AI. This obviously leads into machine learning for potential trading. Here is a quote from this book reviewer:
I found that it shed light on many mysteries and answered questions that had long troubled me.
As I have been blogging about both machine learning/AI/HFT vs fundamental analysis, it seems I came away from my online web stats that no one cares for fundamental analysis. It has been the backbone of options/futures trading before electronic trading which of course includes today’s computer algorithms.
Speaking of futures/options trading, this is part of my Phase 2 for my “Indie Algo Trading Business in Python” course series. This is of course the fundamental way to listen to the market. For instance, you can use measurement of yield curve for the pulse of the markets. Do I need to say anymore about topics like this? I just posted these source code demos for my Quant Elite members over the last 24 hours:
Intertemporal commodity pricing storage and how it affects a market
Inter-temporal pricing theory detail
Demand for storage
Notes on yield curve
Eaxmples of Cost of carry model, Interest rate parity, Eurodollar and Yen
I have so many more topics being added on top of the lengthy schedule for each Tuesday until July. As I hinted a few days, these exact topics among others may be pulled to keep this source code ‘exclusive.’
I will be running new services in a couple of months that will make this entire membership worthwhile to join over the long run.
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