[FREE] Prompting for Hedge Fund Quality Data: TSLA as a Step-by-Step Example
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Dave Wang's TokenBrief
Did you know top hedge fund quants turn satellite images and obscure datasets into alpha?
Now you can do the same with simple AI prompting techniques. This ebook reveals a step-by-step workflow with Tesla as an example using:
- Free Satellite Imagery from Sentinel-2 & Landsat
- Smart AI Prompting with ChatGPT, Claude, and more
- Coding Automation via Cursor for Python data science
- Practical Methods to refine, validate, and improve your forecasts
What You’ll Get
- A Full Alt Data Playbook: My general framework for prompting for alt data engineering for equities
- Hands-On Guidance: Exact prompts, code snippets, and library recommendations in my Tesla example
- Fast Iteration Tips: Debug and refine your analysis with minimal fuss
- Actionable Insights: Learn techniques you can easily adapt for other logistics-heavy companies or advanced analytics projects
Who It’s For
- Independent Investors looking to level up their research game
- Data Scientists & Analysts wanting real-world AI workflows
- Tech Enthusiasts exploring advanced remote sensing and code automation
- Anyone Curious about bridging AI, alt data, and live market insights
Pages
Size
451 KB
Length
42 pages
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