Friends, hello everyone!
Sorry for my English
We are the Almanacc team, I create this topic in order to share my experience in Value. I would also like to find interested people with whom I can exchange experiences and some interesting developments in the field of Value Betting.
All our work is based on work with the Bet365 bookmaker. I will start with the history of working with this bookmaker. In February 2019, our team collected a 101,000-match dataset from the forks of the Positivebet scanner. Further, this dataset was analyzed in detail, analysis was performed in Python using the standard libraries pandas, numpy, scipy, plotly.
In the course of our work, we wrote our own basic functions that facilitated the further analysis of such a large dataset. (A little later I will show you an example from our dataset)
After a preliminary analysis, we began to build a mathematical model using a genetic algorithm to optimize and select parameters. One of the parameters was selected using the xgboost algorithm. (I can tell in more detail if this is interesting to someone)
From the results, the algorithm for 4 months earned 100,000 euros. The financial strategy assumed a 2 percent flat (2 percent were derived experimentally, show the best combination of ROI, maximum drawdown)
The average ROI for the period from April to July was 7 percent. I can give a list of bookmakers with whom Value was in an individual communication. Below I will attach the MeanValue chart for the period from April to July 2019
I would like to talk with teams or professionals who also work deeply with Value on the topic of exchange of experience.
I wish you success and victories!
Sorry for my English
We are the Almanacc team, I create this topic in order to share my experience in Value. I would also like to find interested people with whom I can exchange experiences and some interesting developments in the field of Value Betting.
All our work is based on work with the Bet365 bookmaker. I will start with the history of working with this bookmaker. In February 2019, our team collected a 101,000-match dataset from the forks of the Positivebet scanner. Further, this dataset was analyzed in detail, analysis was performed in Python using the standard libraries pandas, numpy, scipy, plotly.
In the course of our work, we wrote our own basic functions that facilitated the further analysis of such a large dataset. (A little later I will show you an example from our dataset)
After a preliminary analysis, we began to build a mathematical model using a genetic algorithm to optimize and select parameters. One of the parameters was selected using the xgboost algorithm. (I can tell in more detail if this is interesting to someone)
From the results, the algorithm for 4 months earned 100,000 euros. The financial strategy assumed a 2 percent flat (2 percent were derived experimentally, show the best combination of ROI, maximum drawdown)
The average ROI for the period from April to July was 7 percent. I can give a list of bookmakers with whom Value was in an individual communication. Below I will attach the MeanValue chart for the period from April to July 2019
I would like to talk with teams or professionals who also work deeply with Value on the topic of exchange of experience.
I wish you success and victories!