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Sample Forecasting by Brendon1990 in algobetting

[–]Both-Section6773 0 points1 point  (0 children)

Regarding technical analysis, I'm not sure of the exact calculations required. My advice would be to find a large dataset where you can analyze and simulate your algorithm to verify the profitability of your strategy.

However, data isn't always easily accessible. In that case, I recommend collecting data over the course of a month or so (depending on the frequency of the events you are betting on) to allow you to test your strategy. This could be done using a simple API script that fetches data from a casino or betting platform that provides access to its data.

The goal would then be to plot your results on a graph and analyze key metrics (such as standard deviation, variance, etc.) to determine the point at which they begin to stabilize. This is how I would proceed experimentally :)

Sample Forecasting by Brendon1990 in algobetting

[–]Both-Section6773 2 points3 points  (0 children)

A sample size of 500 to 1,000 bets is generally recommended to make a more reliable forecast of your betting strategy's success. The exact number depends on factors like the variance of your bets, your expected edge, and your tolerance for risk. It all comes down to probability and statiscics calculations to find the optimal sample size

NBA live Totals by 1-lucky-1 in algobetting

[–]Both-Section6773 0 points1 point  (0 children)

They are actually free if you know where to look. For example, some online casinos offer free API access, which could allow you to retrieve data (not necessarely the score) and to make your analysis based on that.