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Add MSeeP.ai badge#14

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wshobson merged 1 commit intowshobson:mainfrom
lwsinclair:add-mseep-badge
Aug 27, 2025
Merged

Add MSeeP.ai badge#14
wshobson merged 1 commit intowshobson:mainfrom
lwsinclair:add-mseep-badge

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@lwsinclair
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Hi there,

This pull request shares a security update on maverick-mcp.

We also have an entry for maverick-mcp in our directory, MSeeP.ai, where we provide regular security and trust updates on your app.

We invite you to add our badge for your MCP server to your README to help your users learn from a third party that provides ongoing validation of maverick-mcp.

You can easily take control over your listing for free: visit it at https://mseep.ai/app/wshobson-maverick-mcp.

Yours Sincerely,

Lawrence W. Sinclair
CEO/SkyDeck AI
Founder of MSeeP.ai
MCP servers you can trust


MSeeP.ai Security Assessment Badge

Here are our latest evaluation results of maverick-mcp

Security Scan Results

Security Score: 100/100

Risk Level: low

Scan Date: 2025-08-26

Score starts at 100, deducts points for security issues, and adds points for security best practices

Security Findings

Low Severity Issues

  • semgrep: Use of base64 decoding detected. This might indicate obfuscated code.

This security assessment was conducted by MSeeP.ai, an independent security validation service for MCP servers. Visit our website to learn more about our security reviews.

@wshobson wshobson merged commit cd0a325 into wshobson:main Aug 27, 2025
arunbcodes pushed a commit to arunbcodes/maverick-mcp that referenced this pull request Dec 29, 2025
felixep added a commit to felixep/maverick-mcp that referenced this pull request Feb 20, 2026
Addresses all findings from DATA_ACCURACY_AUDIT.md:
- Fractal-based S/R detection replacing naive percentage approach (wshobson#2/wshobson#10/wshobson#11)
- MACD precision 2→4 decimals (wshobson#3), div-by-zero guards in patterns (wshobson#4)
- Per-algorithm retry in screening scheduler with data_freshness tracking (wshobson#1)
- Cache bypass parameter on all screening endpoints (wshobson#5)
- Clean Alpaca date index offset (wshobson#6), NaN for missing volume (wshobson#7)
- VWAP daily approximation (wshobson#8), batch concurrency semaphore (wshobson#9)
- Relaxed flag/pennant detection thresholds (wshobson#12)
- Price gap detection (wshobson#13), JSON NaN/Inf sanitization (wshobson#14)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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2 participants