Difference between revisions of "Learning Algorithms for Trading"
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*Instance-based | *Instance-based | ||
*Overview: LinReg, KNN, Decision Trees, ANN | *Overview: LinReg, KNN, Decision Trees, ANN | ||
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| + | ==How ML fits into the computing at a hedge fund== | ||
| + | *Long/short | ||
==Time series prediction as an ML problem== | ==Time series prediction as an ML problem== | ||
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==Linear regression== | ==Linear regression== | ||
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==KNN== | ==KNN== | ||
Revision as of 23:55, 3 March 2015
Contents
Supervised machine learning
- Regression
- Classification
- Parametric
- Instance-based
- Overview: LinReg, KNN, Decision Trees, ANN
How ML fits into the computing at a hedge fund
- Long/short
Time series prediction as an ML problem
[note: need to create fake stock data that has embedded patterns]
Learner APIs
Linear regression
KNN
Assessing a learning algorithm
- Now that we have two, (linreg & KNN), let's compare them
- RMS error
- Scatterplot predict vs actual
- Corrcoef
