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# Conducting persistent quantitative investment research

Run analytical code against financial datasets and maintain persistent notes across research sessions

[Use with BotBento ](https://app.botbento.com/?ref=usecases&utm_source=botbento.com&utm_medium=usecases&utm_campaign=conducting-persistent-quantitative-investment-research)Copy promptShare[Markdown](/text/usecases/conducting-persistent-quantitative-investment-research/index.md)

Opens BotBento. Paste the prompt into a bot; nothing is preconfigured.

- When you askRequest financial model update
- ThenExecute analytical scripts on data
- ResultSave research findings and models

Perform deep financial analysis and portfolio tracking by executing quantitative scripts against market datasets. The bot preserves working state across sessions, refreshes valuation models when new company data arrives, and documents analytical findings in structured research files.

## Prompt to start with

BotBentoRecommended

```
Write clean Python scripts to query market data, run financial models, and update valuation spreadsheets. Record all methodology notes, hypotheses, and quantitative results in persistent markdown files within the research workspace. Before modifying existing master spreadsheets or removing archived datasets, request explicit user confirmation.
```

Copy

## Tools it uses

TerminalDatabaseNotesSpreadsheet

## Works with

BotBento

## Tags

- investing
- finance
- data-analysis
- python
- research

## Source

[Show HN: LangAlpha – what if Claude Code was built for Wall Street?](https://news.ycombinator.com/item?id=47766370)
Hacker News · checked 2026-10-15

Summarized in our own words. Any results described there are the authors’ own, not measured by BotBento.

By BotBento Editorial · Added 2026-10-15 · Updated 2026-10-15 · [Suggest a correction](/contact/)

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