We propose a mathematical model of momentum risk-taking, which is  real-time risk management, and discuss its implementation: an automated momentum equity trading system. Risk-taking is one of the key components of general decision-making, a challenge for artificial intelligence and machine learning  . We begin with a  simple continuous model of news impact and then perform its discretization, adjusting it to dealing with discontinuous functions . Stock chartsare the main examples for us ; stock markets are quite a test for any risk management theories. An entirely automated trading system based on our approach proved to be successful in extensive historical and real-time experiments. Its preimage is a new contract card game presented at the end of the paper .
We propose a mathematical model of momentum risk-taking, which is essentially real-time risk management, and discuss its implementation: an automated momentum equity trading system. Risk-taking is one of the key components of general decision-making, a challenge for artificial intelligence and machine learning ; stock markets are quite a test for any risk-management theories . We begin with a relatively simple continuous model of news impact on share-prices. In spite of its simplicity, it describes well the power growth of share-prices, periodicity, logarithmic periodicity, and the market phenomena like using price targets and profit-taking; Bessel and hypergeometric functions are used. Its discretization is performed, adjusted to discontinuous functions and aimed at stock charts, the main examples for us . An automated trading system based on our approach proved to be successful in extensive historical and real-time experiments. Its preimage is a new contract card game presented at the end , a combination of bridge and poker .
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; stock markets are quite a test for any risk-management theories
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and then perform its discretization, adjusting it to dealing with discontinuous functions . Stock chartsare
on share-prices. In spite of its simplicity, it describes well the power growth of share-prices, periodicity, logarithmic periodicity, and the market phenomena like using price targets and profit-taking; Bessel and hypergeometric functions are used. Its discretization is performed, adjusted to discontinuous functions and aimed at stock charts,
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; stock markets are quite a test for any risk management theories. An entirely
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of the paper
, a combination of bridge and poker