High Frequency Statistical Pair Trading Model In msec & nsec - risk-free😴🥳💤

1 ML K-Means Clustering
2 Correlation
3 Co-integration
4 auto-correlation (optional)
5 partial auto-correlation (optional)
6 band selection for entries
7 deep Q-learning for maximizing rewards
8💰💰👍 https://twitter.com/kerberos007/status/1228379802480103424
Something more productive

For retail traders

Statistical arbitrage swing trading using Index & Sector ETFs. long one asset; short the other

Tons of highly correlated ETF pairs, but the most important criteria is co-integration, meaning the SPREAD should be mean-reverting >95%
Simplest swing pair trading:

1 the "spread" time series of the correlated ETF pairs must satisfy the ADF co-integration test with p-value < 0.05

2 using the Bollinger %B (20, 2) mean-reversion on the "spread" series for entry & exit as explained for the $VIX strategy w/ hi R/R
Secret of my machine deep learning model revealed:

Similar modes predicted tons of other stuff that I posted.

Not perfect yet, but improving as more data feeding into the deep learning recurrent Neurons.. They're learning like a 5-year old kid slowly https://twitter.com/kerberos007/status/1229875054411952135
You can follow @kerberos007.
Tip: mention @twtextapp on a Twitter thread with the keyword “unroll” to get a link to it.

Latest Threads Unrolled: