A student report of Stanford University based on the application of deep learning to algorithmic trading displayed 81 percent successful trade and a 66 percent of directional accuracy on the application of deep learning based
trading strategy on a test data set.
CloudQuant is the
trading strategy incubator for data scientists and traders around the world to create and test trading strategies.
By allowing algo backtesting and forward-testing with historical data and live data respectively, Auton helps traders to develop the unique
trading strategy that will work best for them.
During the second half of the previous week, the 380-cst fuel oil March/April time spread soared, widening its backwardated structure while stirring expectations of a bullish
trading strategy in the near term.
In this paper, the stochastic dominance theory is applied to test the dominance relations among program trading strategies and select the optimal program
trading strategy for investors, judge the profitability of program trading strategies and thus verify the efficiency of China's stock market indirectly.
So what exactly is an algorithmic
trading strategy? To quote the SEC's Notice of Filing: "An automated system that generates or routes orders or order-related messages such as routes or cancellations, but does not include an automated system that solely routes orders received in their entirety to a market center." Such systems generate orders or execute trades "without material intervention by any person."
The presence of profitable time-series momentum
trading strategy depends on the predictability of present returns from past returns.
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Trading Strategy Checklist: evaluates any stock or options order instantly, validating the strategy against complex market conditions
A commonly known
trading strategy is the "buy-and-hold" strategy, i.e.
The bank said that the strategy is a
trading strategy that assists investors in sourcing liquidity.
According to Portware, Aritas' Alpha Pro technology solution uses quantitative analysis of historical and real-time order flow to recommend a
trading strategy most likely to enhance performance over the life of the order, as well as make execution decisions based on the trader's preference.