After buying FLT in the recent dip I thought it would be interesting to see if I could use machine learning to predict price direction. The SVM model decides to go long or short based on past momentum (normalized price changes that are lagged by a day).
Equity curve was a surprise as most of my past attempts typically crash and burn. I decided to try a few more stocks and noticed that popular stocks for shorters tended to be more predictable (most likely due chance ).
JBH
ACR
FLT - Machine Learning Experiment
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Last
$17.13 |
Change
0.430(2.57%) |
Mkt cap ! $4.754B | |||
| Open | High | Low | Value | Volume |
| $17.03 | $17.45 | $16.94 | $37.05M | 2.155M |
Buyers (Bids)
| No. | Vol. | Price($) |
|---|---|---|
| 2 | 6310 | $17.12 |
Sellers (Offers)
| Price($) | Vol. | No. |
|---|---|---|
| $17.13 | 638 | 1 |
View Market Depth
| Last trade - 16.10pm 27/11/2024 (20 minute delay) ? |
| FLT (ASX) Chart |
