--- title: "Automated Financial Analysis Report" author: "Quantitative Research Team" date: "`r Sys.Date()`" output: pdf_document --- ```r setup, include=FALSE library(quantmod) library(PerformanceAnalytics) getSymbols("AAPL", from = "2025-01-01", to = "2025-12-31") returns <- Return.calculate(Cl(AAPL)) ``` ## Executive Summary This PDF report provides an automated summary of AAPL performance. ## Performance Chart ```r, echo=FALSE charts.PerformanceSummary(returns, main="AAPL Performance Summary") ``` Use code with caution.
: Analytical thinking, R language basics, and financial statistics. Portfolio & Risk : Markowitz mean-variance optimization, the Sharpe Ratio , and dataset risk measurement. Advanced Analytics : Time-series analysis, cluster analysis , and gauging market sentiment. Trading & Options : Simulating trading strategies, the Binomial Model for options, and the Black-Scholes Model with implied volatility. Cambridge University Press & Assessment Access and Resources financial analytics with r pdf