             __      __    ___  ___________   ___________
            /  \    /  \  /   \ \__    ___/   \__    ___/
            /   \/\/   / /  ^  \  |    |      |    |   
             \        / /  /_\  \ |    |      |    |   
              \__/\  //  _____  \ |    |      |    |   
                   \//  /     \  \|____|     \|____|   
                    \/  /       \  \          \

WESTSIDE ALGORITHMIC TRADING TRIBE

> UPCOMING EVENTS

NOV 11, 2025 @ DOGTOWN COFFEE

CODE SESSION - MAX 10 PEOPLE

Bring your code or deployed open source packages. Code-focused, collaborative environment.

This event is for people who understand this context: what happened when the tensor asked the tech company for a job after college? They said no, grad.

NOV 20, 2025 OR Nov 22, 2025 - Depending on Feedback. If you have a preference message Sean McDonald on X @ TBD LOCATION

LUNCH - ALGORITHMIC TRADING DISCUSSION

Talk about results from coding session. General discussion about algorithmic trading with LLMs.

> SIGN UP

> ALPHA ARENA: LLM TRADING PERFORMANCE

Recent live evaluations reveal stark differences between LLM benchmarks and real-money algorithmic trading:

THE WINNERS:

DeepSeek V3.1: +126% ROI. Low-volume, high-conviction leveraged longs with robust risk settings.

Grok 4: +500% ROI peak by perfectly timing market bottom. X-data driven sentiment analysis edge.

Qwen 3 Max: Balanced hedging strategies with controlled exposure for steady returns.

THE LAGGARDS:

Gemini 2.5 Pro: -55% from holding shorts during rally. Poor real-time adaptation.

GPT-5: -60% from aggressive over-trading and excessive leverage. Multiple margin calls.

THE LESSON:

Advanced general reasoning does not translate to financial expertise. Domain-specific risk control is paramount.

Success factors: Risk management, conviction over frequency, fewer high-quality trades beat high-volume strategies.

> RESOURCES

* We will review LinkedIn in the future but the guy reviewing it doesn't have a LinkedIn to see your LinkedIn add.