Our researches focus on “the relationship among cognitive bias, investor behavior and performance in FX (Forex)” to boost outcomes of such investments. Furthermore, we are studying whether optimization of decision-makings around FX trading can replace AI = artificial intelligence, also for the purpose of testing the limits of human cognitive abilities (our mission / philosophy). Several discourses have been released based on these researches.
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Cognitive bias in FX
A research on why the “prospect theory” holds, which says that while you are aiming at maximizing your profit but will psychologically be led to minimizing it (or maximizing your loss) and how to avoid it.
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Investment performance of FX
A research on reasons why performance of individual investors tend to be lower, not as the frequency of trading, but as higher leverage and the large number of currencies traded.
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FX trading tapping AI
A research on whether AI will reconstruct (optimize) automatic trading strategies to minimize losses through learning changes in markets, while traditional systems / tools end up making huge losses for volatilities in them.
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# Comparison of and insights on cognitive biases in decision-makings for FX, Prof. Estrada
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# Updates on empirical analyses of investment performance of FX, Prof. Estrada
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