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Following up on the (now locked) Neural Net Lottery Picker thread — the backtest problemReply
Markov chains seemed like an interesting approach. I put this to followers as that seemed to be the most straight forward application... get a distribution of the numbers (all of them) that followed the last draw and present the distribution list, sorted by frequency descending... this is literally the layout of the transition probabilities for each state transition (draw). Even though, like the lottery, Markov Chains are memoryless and only depend on the last state, lottery data does not even d
Jun 27, 2026, 12:40 pm - hypersoniq - Lottery Discussion Forum