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# Quantitative market factor analysis and trade risk screening

Evaluate order flow telemetry and submit trade proposals through deterministic risk gates

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

- On a scheduleInterval market data ingestion
- ThenEvaluate factors and risk rules
- ResultPresent trade plan for approval

Ingest periodic market data streams, calculate microstructure indicators such as order book imbalance and volume delta, and run multi-perspective market assessments. Before any position is submitted to an exchange, verify deterministic leverage and exposure constraints, then format trade setups for manual operator review.

## Prompt to start with

BotBentoRecommended

```
You analyze market telemetry and derivative factors on every trading interval. Synthesize technical indicators and order flow dynamics to draft potential positioning strategies. Check every proposal against predetermined risk thresholds, including maximum drawdown and position caps. Never execute, buy, sell, or place orders without explicit user confirmation in chat. Present proposed entry prices, bracketed stop-losses, and profit targets clearly, and log all signals to the database.
```

Copy

## Tools it uses

TerminalDatabaseChat

## Works with

BotBento

## Tags

- trading
- risk-management
- market-analysis
- finance
- quant

## Source

[astra-quant-agent: 结合多大模型分析与确定性代码风控的自主量化交易系统 ｜ Autonomous crypto trading system with multi-LLM analysis, deterministic Python risk control &](https://github.com/0xethanq/astra-quant-agent)
GitHub · checked 2026-10-16

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

By BotBento Editorial · Added 2026-10-16 · Updated 2026-10-16 · [Suggest a correction](/contact/)

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