Algorithmic Trading Made Easy: Understanding State, Action, and Reward in the Application Layer
#cryptoapi #deepreinforcementlearning #cryptocurrencytrading #quantitativefinance #drlalgorithms #automatedtradinginfinrl #aiinfinance #algorithmictradingstrategies
https://hackernoon.com/algorithmic-trading-made-easy-understanding-state-action-and-reward-in-the-application-layer
#cryptoapi #deepreinforcementlearning #cryptocurrencytrading #quantitativefinance #drlalgorithms #automatedtradinginfinrl #aiinfinance #algorithmictradingstrategies
https://hackernoon.com/algorithmic-trading-made-easy-understanding-state-action-and-reward-in-the-application-layer
Hackernoon
Algorithmic Trading Made Easy: Understanding State, Action, and Reward in the Application Layer | HackerNoon
Explore how users map trading strategies into DRL language in the application layer, customizing state, action, and reward for algorithmic trading success.