Stock Market Data Analysis Project

Overview

Our task is to develop a program for a client that processes daily stock market data within an hour. The solution must be maintainable and accurate.

Input

Format: <TimeStamp>,<Symbol>,<Quantity>,<Price>
The data represents a series of trades.
Key Points:
- TimeStamp: microseconds since midnight, for the same day.
- Symbol: 3-character identifier.
- Quantity: amount traded.
- Price: integer, always positive.

Objectives

For each symbol, calculate:
- Maximum time gap between consecutive trades (0 for a single trade).
- Total volume traded.
- Weighted average price (rounded to an integer).
- Minimum and maximum trade price.
Produce a sorted file 'output.csv' in the format: <symbol>,<MaxTimeGap>,<Volume>,<WeightedAveragePrice>,<MinPrice>,<MaxPrice>

Constraints

Opt for C++ or a similar compiled language.
Work with limited memory; avoid loading the entire file into memory.
Stick to the base tools of the language/platform, no external libraries.
Process input from stdin and output to stdout. For example, cat input.csv | process_trades > output.csv.

Data Visualization

Create a chart showing the price trajectory over time for the AAA symbol.
Axis details: X-axis for TimeStamp, Y-axis for Price.
Save the chart as either AAA.png or AAA.jpg.