Deep Reinforcement Learning Agents in Algorithmic Trading
Introduction Quantitative finance has traditionally relied heavily on statistical and econometric models to forecast market fluctuations. These models use mathematical methods, grounded in advanced probability theory, such as time-series models, continuous-time stochastic processes, or Monte Carlo simulations to optimise the returns on investments or trades in an ever-changing financial landscape. However, these models – resembling …
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