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SKILL verified MIT Self-run

Ev Calculator

skill-tellmefrankie-ai-investment-skills-ev-calculator · by tellmefrankie

A Claude skill from tellmefrankie/ai-investment-skills.

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Install

$ agentstack add skill-tellmefrankie-ai-investment-skills-ev-calculator

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Expected Value Calculator (Free)

Calculate expected value for stock positions using scenario-based modeling. Combines options data, earnings history, and short interest to size positions with mathematical discipline.

What it does

For each position, builds probability-weighted scenarios:

  • Bull case: Catalyst-driven upside (earnings beat, sector rotation, short squeeze)
  • Base case: Normal trading range continuation
  • Bear case: Downside risks (earnings miss, macro shock, sector rotation out)

Weights scenarios by:

  • Options sentiment (real calls vs puts, excluding lottery)
  • Historical earnings surprise patterns
  • Short interest level and squeeze potential
  • Sector momentum

Usage

Calculate expected value for my portfolio:
- RXRX: 500 shares @ $3.26, stop-loss $2.85
- KTOS: 200 shares @ $56.99, stop-loss $52.00
- TEM:  100 shares @ $48.46, stop-loss $49.75

Use 3 scenarios (bull/base/bear) with probabilities.
Include confidence level and data quality assessment.

Example Output

=== EV Analysis — 2026-05-13 ===

RXRX  $3.26 | Position: $1,630
  Bull  (30%): $4.80 → +47.2% → EV: +$770
  Base  (45%): $3.40 → +4.3%  → EV: +$63
  Bear  (25%): $2.85 → -12.6% → EV: -$205
  ─────────────────────────────────
  Weighted EV: +$628 (+38.5%)   [HIGH confidence]
  Note: Options P/C 0.38 supports bull case. 84% lottery calls stripped.

KTOS  $56.99 | Position: $11,398
  Bull  (35%): $68.00 → +19.3% → EV: +$770
  Base  (40%): $58.50 → +2.6%  → EV: +$121
  Bear  (25%): $52.00 → -8.8%  → EV: -$249
  ─────────────────────────────────
  Weighted EV: +$642 (+5.6%)    [MEDIUM confidence]
  Note: Sector (defense) momentum positive. IV elevated at 170%.

TEM   $48.46 | Position: $4,846
  Bull  (25%): $56.00 → +15.6% → EV: +$188
  Base  (40%): $49.00 → +1.1%  → EV: +$22
  Bear  (35%): $49.75 → +2.7%  → EV: STOP
  ─────────────────────────────────
  Weighted EV: -$41 (-0.8%)     [LOW confidence]
  ⚠️ BELOW STOP-LOSS — review position

Confidence Levels

  • HIGH: Multiple confirming signals (options flow + technicals + news)
  • MEDIUM: 1-2 signals, others neutral or missing
  • LOW: Conflicting signals or insufficient data

Pro Version

Free version uses basic scenario modeling with manual probability inputs.

Full bundle — $29 one-time: Polygon.io options data integration, real/lottery separation, per-expiry analysis, anomaly detection, automatic probability weighting from live data. → https://jaehyunpark.gumroad.com/l/tcyahy

Author

Production EV engine used daily for real portfolio decisions. The TEM example above is real — the EV turned negative the morning before the stop-loss was hit.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.