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Trade multiple cryptocurrency and forex exchanges through a single interface or over a unified API. Build your trading strategies directly in the browser, backtest against every tick of historical price data and trade live with your broker. It couldn't b
Algorithmic Trading: In algorithmic trading, agents learn optimal trading strategies based on market data and historical trends. Portfolio Optimization: In portfolio management, optimizing investment decisions and risk mitigation strategies can be optimized with q-learning. 4.Game Theory and Multi-agent Sy...
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纳兰郭剑光 - 打开量化投资的黑箱#:#Inside the black box#:#the simple truth about quantitative trading 被引量: 1发表: 2012年 A Look Inside the World of Quants In a new book on quantitative trading strategies, "Inside the Black Box: The Simple Truth About Quantitative Trading," Rishi Narang,...
—BLAIR HULL, former founder of Hull Trading Co. and founder of Ketchum Trading "In this updated edition, Rishi again provides an insightful taxonomy of a wide range of systematic trading strategies in liquid instruments. Without the extensive use of complex formulae, this book offers intuitive ...
In essence, conventional economics adopted a top-down approach. It assumes that agents are rational, have perfect information and adopt consistent, optimal, strategies. Moreover, large-scale market behaviour is just the sum of all these individual behaviours, and markets settle into static equilibria...
Forecasting the stock market is an essential requirement for comprehending market patterns and devising trading strategies. The present study is centred on the examination of financial data through the implementation of the present discourse pertains to two distinct technical indicators, namely the simple...
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What is the difference between long position and short positions in commodity futures trading? When is it appropriate to take either short of long position? What are the best strategies in commodity f Explain the basic differences between t...