Install
$ agentstack add skill-tellmefrankie-ai-investment-skills-ev-calculator ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
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 →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.
- Author: tellmefrankie
- Source: tellmefrankie/ai-investment-skills
- License: MIT
- Homepage: https://jaehyunpark.gumroad.com/l/tcyahy
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.