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AI & ML Consultancy for Financial Markets

At Silvia Trading Systems, we've designed several AI and Machine Learning solutions to support better decision-making in investment trading including forecasting, automation, and quantitative research. Whether you're an individual trader or a financial organization, we can discuss how to adapt these solutions to your infrastructure and goals.

Short-Term Trading Signals for Stocks

Short-Term Trading Signals for Stocks

A forecast built from an ensemble of neural networks trained on transformed historical data, tuned with Bayesian Optimization, and improved with a few heuristic rules. It uses Python, TensorFlow, and several Google Cloud services.

Gen AI Crypto Trading Bot

Gen AI Crypto Trading Bot

A trading bot that uses the GPT-4o model through the OpenAI API on Python to analyze technical indicator images along with price dataframes, and connects to Binance to execute buy and sell orders.

Fundamental Analysis with Gen AI

Fundamental Analysis with Gen AI

An engine powered by the GPT-4o model through the OpenAI API that analyzes the income statement, balance sheet, and cash flow to assess profitability, growth, efficiency, solvency, and cash generation. It also applies valuation methods to estimate whether a stock is undervalued, overvalued, or fairly priced.

Multivariate Time-Series Model for Inflation

Multivariate Time-Series Model for Inflation

An ensemble of Vector Autoregression (VAR) models on key variables used in the measurement of quarterly and monthly inflation. Originally developed using R programming.

Machine Learning Applied to Quarterly Reports

Machine Learning Applied to Quarterly Reports

A supervised machine learning model that brings together fundamentals, earnings surprises, historical reactions to past reports, technical indicators, options-implied expectations, and sentiment extracted from financial news and management guidance to better estimate how a stock may react to its next quarterly results.

Interested in a Custom AI or ML Solution?

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