Trading Card Portfolio Optimizer (Markowitz Mean-Variance) is a paid API for AI agents from oracle.the-undesirables.com, paid per call via x402, $0.5/call, status unknown (last checked 2026-09-15).
Optimizes a trading card portfolio using Markowitz mean-variance analysis over conformal-calibrated risk forecasts, returning optimal position sizing, allocation weights, Sharpe ratios, and rebalancing recommendations.
Optimize a trading card portfolio with Markowitz mean-variance analysis over conformal-calibrated risk forecasts (Monte Carlo GBM/Merton available opt-in). Provide a list of card names, budget, and risk tolerance (conservative/moderate/aggressive) to receive optimal position sizing, per-card allocation weights, Sharpe ratios, and rebalancing recommendations.
Returns optimal position sizing (dollar amounts per card), per-card allocation weights as percentages, expected Sharpe ratios, and rebalancing recommendations based on Markowitz mean-variance analysis and conformal-calibrated risk forecasts for the specified trading card portfolio.
GEThttps://oracle.the-undesirables.com/api/v1/portfolio-optimizeChoose this endpoint when you need quantitative, risk-adjusted portfolio construction specifically for trading cards (Pokémon, Magic: The Gathering, Yu-Gi-Oh, Digimon, etc.) using rigorous mean-variance optimization rather than ad hoc allocation. Prefer it over generic financial portfolio tools when the asset class is collectible trading cards with TCG market data. Best when you need Sharpe ratios and rebalancing guidance alongside allocation weights.
{
"type": "json",
"example": {
"data": {
"allocations": [
{
"weight": 0.45,
"card_name": "Charizard ex",
"allocation_usd": 450
}
],
"portfolio_expected_return_pct": 12.5
},
"tool": "portfolio_optimizer",
"status": "ok"
}
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