How AI Can Help Your Investing

  •  AI allows investors to process real-time datasets from various sources such as stock prices, financial reports, social media sentiment, portfolio management resources, etc.
  • Further, AI can make predictions on market movements, optimize investment portfolios, manage trading strategy in terms of ROI-risk balance, and automatically build a risk-aware customized portfolio.



  • AI plays a key role in financial risk analysis - a process of assessing and evaluating potential risks and their impact on an organization, project, or decision-making.


  • AI-Powered Stock Technical Indicators:
  • Thanks to high-level automation and integration of multiple tasks, AI can simultaneously analyze hundreds of technical indicators, run simulations and forecasts, perform real-time technical analysis, and generate trading signals and alerts at a speed and frequency that is impossible for a human trader.

  • AI Breakout Trading Strategies implemented as a stock scanner in Python. AI can download historical data from Yahoo finance. We look at the “filtered” price where we observe consolidation that meets the growth criteria at a given date/time.  This scanner is very simple and efficient in that it can be applied to a 1000's of stocks to identify potential consolidation/breakout patterns of interest to swing traders.


  • Other useful applications of AI in fintech include Fibonacci Retracement Trading, (Back)Test Portfolio Asset Allocation and Diversification, Market State Analysis, Stock Value at Risk (VaR), Stock Correlations, Bear/Bull Market Strategies, Portfolio Risk/Return Optimization, Cryptocurrency Trading, Predicting Stock Prices, Market NLP Sentiment Analysis, Asset technical/Fundamental Analysis, Stock Screener App & Dashboard, An Automated Query Interface, DCA Investment Strategies, and Fraud Detection.

 

Case Examples:

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Location: Rotterdam, Netherlands

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