Financial Market Data & Analysis

I am working on my finance thesis and I need a reliable hand to gather up-to-date financial technology data, clean it, and run a solid descriptive analysis. The end goal is a ready-to-use dataset accompanied by clear summary statistics and visualisations that I can slot straight into my methodology chapter.

Scope of work
• Source daily price and volume figures from reputable feeds or APIs for the markets we agree on.
• Deliver the raw pull, the cleaned version, and a short data-dictionary so the variables are crystal-clear.
• Produce descriptive statistics (mean, median, variance, skew, kurtosis, correlations) in Excel, Python or R—your choice, as long as the code is reproducible.
• Supply basic plots (time-series line charts, histograms, correlation heatmaps) that illustrate the key patterns uncovered.

Acceptance criteria
1. Data coverage and date range match what we finalise before you start.
2. No missing values or obvious outliers left unaddressed in the cleaned file.
3. All scripts/notebooks run end-to-end without manual tweaks on my machine.
4. Summary report (brief PDF or DOC) clearly explains the findings in plain language.

If you already have experience pulling market data via Bloomberg, Refinitiv, Alpha Vantage, Quandl, or similar APIs, let me know—speed is important to me. Looking forward to collaborating and wrapping this piece quickly.