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riskbound

Position-sizing rules with explicit evidence boundaries (volatility targeting + 200-day SMA), forward log, and an honest-testing harness.

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This is 1 of 178 launches in ai risk, legal, and compliance — see how it stacks up on momentum and crowding →

480 other launches read as similar to this one →

Details

External ID
1408476807
Source
GITHUB
Company
—
Product
riskbound
Website domain
github.com
Launched
Oct. 7, 2026
Cohort
—
Upvotes
12
Upvotes percentile
0.21
Tags
—

Enrichment

Niche
ai risk, legal, and compliance
Vertical
Fintech
Function
Analytics & BI
Audience
Prosumer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
position-sizing and backtesting framework for trading strategies
Manually corrected
False

Could you build this?

Yes This is a quantitative trading rules and backtesting/logging harness using standard indicators (volatility targeting and 200-day SMA), easily written in Python using libraries like pandas and numpy.

Competitors

Other products that read as similar to this one — 480 launches clear the similarity bar, closest 8 shown.

Attention rank: #390 of 481 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 343 days after the earliest competitor.

Other launches for this product