Quantitative Analyst-Python, Excel, Trading Insights

Example

Creating a Python script to automate the retrieval of market data from public APIs, process the data, and apply statistical analysis to generate trading signals.

Scenario

A user needs to automate their analysis of daily gas market prices and trading volumes to identify potential trading opportunities. I provide step-by-step guidance on setting up the Python environment, writing the script, and interpreting the results.

Example

Offering techniques for valuing futures contracts in the natural gas market, including the use of the Black-Scholes model for options pricing.

Scenario

A trader is looking to hedge their portfolio against price volatility in the natural gas market. I can assist in developing a hedging strategy using futures and options, explaining the calculation of Greeks, and how to apply them for risk management.

Example

Building complex Excel models that forecast energy prices, incorporating various factors such as weather patterns, supply-demand dynamics, and geopolitical events.

Scenario

An analyst requires an Excel model to predict the impact of an upcoming winter on natural gas prices. I guide them through the process of creating a model that integrates weather forecasts, storage levels, and historical price data to produce accurate price forecasts.