finance-ml | uses machine learning techniques to build a backtesting | Business library
kandi X-RAY | finance-ml Summary
kandi X-RAY | finance-ml Summary
A project that uses machine learning techniques to build a backtesting engine for trading and to analyze stock market data and make predictions.
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Top functions reviewed by kandi - BETA
- Creates a dataframe that can be used to create a data table
- Show admin section
- Main function for train
- Convert a series of data into a supervised model
- Fit LSTM model
- Wrapper function for scaling
- Convenience function for making a supervised dataframe
- Compute the difference between the given interval
- Invert a scale
- Train all tables
- Update data extraction
- LSTM model
- Inverse of yhat
finance-ml Key Features
finance-ml Examples and Code Snippets
Community Discussions
Trending Discussions on finance-ml
QUESTION
In Google BigQuery, when I enter the following query I get the following error. How can I solve this problem?
Thanks,
Josh
...ANSWER
Answered 2018-Sep-06 at 12:38The problem is in your SELECT statement - it is missing bidclose
field in the output while it is defined as a label for a model
Just add it into SELECT list and you should be good (unless something else will come up - like - as an example - having NULL values for bidclose
in some rows - so you can add WHERE NOT bidclose IS NULL
)
Also fix below line to use .
instead of :
QUESTION
I am struggling to use BigQuery's ML features. Basically, I write the following query and the it fails with this message:
...Syntax error: Unexpected string literal 'finance-ml-jdb.FOREX.EURGBP' at [17:3]
ANSWER
Answered 2018-Sep-02 at 12:12You need to use back-ticks, not single quotes.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install finance-ml
You can use finance-ml like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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