Use AI-generated signals to understand market developments, emerging trends, and potential risks to supplement qualitative analysis.
RTAI's fast data processing capabilities and high-quality information cover both traditional financial and non-financial market data, seamlessly integrating into existing systems with minimal disruption to current workflows.
Our AI analysts use machine learning to provide signals for underperforming assets and offer deep insights into what drives this performance, enhancing your decision-making ability.
RTAI analyzes vast amounts of real-time market data, including stock prices and social media sentiment, to identify trends and generate actionable insights for making informed investment decisions.
To create our datasets, we extract data from investable domains.
We identify and correct inconsistencies and handle outliers, anomalies, structural changes, and any missing data.
In this phase, clean datasets are used to train supervised machine learning models.
After model deployment, our proprietary AutoML engine generates AI predictive signals to help clients gain algorithmic insights.
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