Add stock market example with LLM trader and analyst agents

[hussanshabbir]

This PR adds a stock market simulation example to mesa-llm, demonstrating
LLM-powered agents reasoning over quantitative financial data.

TraderAgent — uses ReAct reasoning to decide BUY/SELL/HOLD based on
live price, RSI, and trend data. Two archetypes: conservative and aggressive.
AnalystAgent— reads market indicators and broadcasts signals to nearby
traders via speak_to.
execute_trade tool — handles buy/sell/hold logic with budget and share tracking.
StockMarketModel — simulates price movement with random walk + mean
reversion, computes RSI and volatility, collects data via DataCollector.
Solara visualization — color-coded agents (green = profitable, red = loss).

Testing

Follows the same structure as the negotiation example. Compatible with any
LiteLLM provider (OpenAI, Anthropic, Ollama).

@colinfrisch @jackiekazil happy to adjust anything based on your feedback!

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