Multi-source Validation

Triangulation and other methods for data accuracy validation.

Symbol Mapping

Provider agnostic approach beyond proprietary identifiers such as Reuters or Bloomberg tickers. Matching datasets to identifiers.

Textual Analysis

Parsing and normalizing text, sentiment analysis.

Data Acquisition

Projects to acquire content from publicly available sources using APIs and other low-impact techniques.

Pandas

Python library for advanced manipulation and analysis of textual, numeric, and timeseries data

Machine Learning

Computational statistics and predictive analysis.

Data Visualization

Data analytics and visualization with plotly.

Advanced Regression Modelling

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Alternative model fit measures such as sMAPE (Symmetric Mean Absolute Percentage Error), z-scores.

Time-series Analysis

Seasonal adjustments, semi-annual and quarterly reporters.

Model Selection

Choosing the correct regression models
Adjusted and predicted R-squared and p-values.

Advanced Metrics

Metrics beyond R-squared and other basic statistics.

Research Workflows

Document processing, organizing data in models.

Trading

Backtesting, trading metrics and ratios.

Financial Databases

Bloomberg, Refinitv/Reuters, Factset.

Valuation

Forecast models, economic adjustments, comparison with consensus expectations.

Modeling

Financial models (e.g. DCF, LBO or M&A) and scenario analysis in Excel.