This is a China's A-Stock Market Recommending tool, implemented in Python.
The decision trees locate in the ~/backup directory. The tree2007.py is suggested to be used, which is trained using the transaction data of more than 2,000 stocks from 2007 to 2015.
A sample output could look like this:
Good stocks:
stock # threshold(the higher the better) data due date
INFO:root:601558 6.0 last day of data on 2015-10-16
INFO:root:601608 6.0 last day of data on 2015-10-16
INFO:root:600109 5.0 last day of data on 2015-10-16
INFO:root:600316 5.0 last day of data on 2015-10-16
INFO:root:600433 5.0 last day of data on 2015-10-16
INFO:root:600485 5.0 last day of data on 2015-10-16
INFO:root:603222 5.0 last day of data on 2015-10-16
Verify:
INFO:root:2015-10-16 TP/FP: 77.78%/22.22% Average Growth: 1.264%
INFO:root:2015-10-15 TP/FP: 100.00%/0.00% Average Growth: 4.697%
INFO:root:2015-10-14 TP/FP: 25.00%/75.00% Average Growth: -1.239%
INFO:root:2015-10-13 TP/FP: 85.71%/14.29% Average Growth: 2.401%
INFO:root:2015-10-12 TP/FP: 100.00%/0.00% Average Growth: 3.826%
INFO:root:2015-10-09 TP/FP: 88.00%/12.00% Average Growth: 3.277%
INFO:root:2015-10-08 TP/FP: 0.00%/0.00% Average Growth: 0.000%
INFO:root:2015-10-07 TP/FP: 0.00%/0.00% Average Growth: 0.000%
INFO:root:2015-10-06 TP/FP: 0.00%/0.00% Average Growth: 0.000%
INFO:root:2015-10-05 TP/FP: 60.00%/40.00% Average Growth: 2.598%
INFO:root:tree7y600prefilter Average TP/FP: 63.45% / 36.55% Average Growth: 1.559%