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Through the algorithm of reducing risks and increasing profits using artificial intelligence, this portfolio of TRAI aims to deal with the Saudi market and the NASDAQ market, with a Monthly analytical rate of more than 80% of the companies listed in both markets.
The fund deals with companies according to their expected risk weights, with high profitability for companies with less risk in the category.
Isolate, measures and factor into price targets the elements of pricing and volume that derive entirely from human behavior (fear and greed)
The underlying technology takes into account different price and volume inputs to identify price targets based on game theory fundamentals with behavioral finance resulting in predictive price analytics
Dependency on raw data inputs and mathematical modeling predictions.
TRAI uses a pure quant strategy as opposed to the use of High-Frequency Trading or event-driven strategies based on speech recognition and natural language processing
The basis for TRAI’s quant strategy is a minimum of 10 years of numerical data analyzed through quantitative analysis and game theory decision-making made through advanced mathematical models.
*Trading period | Monthly.
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