StockWaves Portfolio Optimizer is a paid API for AI agents from stockwaves.net, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-13).
Optimizes a multi-asset portfolio by computing target position weights from per-asset signal strength, confidence, volatility, and regime inputs
Stateless portfolio optimizer — bring your own signals, get risk-constrained weights. POST {assets:[{symbol,target,confidence?,vol?,regime?}], config?} → optimized portfolio targets via inverse-vol weighting, confidence/conviction scaling, same-family correlation penalty, gross/net + per-symbol caps, regime haircut. Pure compute, no account data.
Returns optimized portfolio weights or allocations for each submitted asset symbol, respecting gross/net exposure limits, per-symbol caps, and optional adjustments for volatility, confidence, and regime. The output translates raw directional signals into actionable position sizes ready for execution.
POSThttps://stockwaves.net/api/portfolio/optimizeUse this endpoint when you have a set of directional signals (alpha) across multiple assets and need to translate them into optimized position weights respecting risk constraints like gross/net exposure limits, per-symbol caps, and volatility adjustments. Ideal for quant agents running signal-to-portfolio pipelines across equities, crypto, or macro instruments, especially when regime metadata and confidence scores are available to improve sizing quality.
{
"assets": [
{
"vol": 0.15,
"regime": "trend",
"symbol": "SPY",
"target": 0.5,
"confidence": 0.8
},
{
"vol": 0.18,
"regime": "trend",
"symbol": "QQQ",
"target": 0.3,
"confidence": 0.7
},
{
"vol": 0.2,
"regime": "chop",
"symbol": "IWM",
"target": -0.2,
"confidence": 0.6
}
],
"config": {
"net_limit": 0.8,
"vol_power": 0.5,
"gross_limit": 1,
"decision_power": 1,
"per_symbol_cap": 0.5,
"confidence_power": 1,
"min_trade_target": 0.05,
"correlation_penalty_enabled": true
}
}| Field | Type | Description |
|---|---|---|
| assets | array | |
| config | object |
{
"summary": {
"mode": "vol_targeted",
"post_net": 0.6868352266376686,
"decision_net": 0.6000000000000001,
"gross_budget": 1,
"symbol_count": 3,
"decision_gross": 1,
"portfolio_gross": 0.8677914735219527,
"surviving_symbol_count": 3
},
"targets": {
"IWM": -0.09047812344214204,
"QQQ": 0.27731335007981067,
"SPY": 0.5
},
"by_symbol": {
"IWM": {
"vol_used": 0.2,
"base_target": -0.2,
"symbol_family": "us_equity_index_etf",
"portfolio_mode": "vol_targeted",
"confidence_used": 0.6,
"portfolio_target": -0.09047812344214204,
"regime_multiplier": 0.52,
"allocation_rescale": 0.45239061721071017,
"correlation_penalty": 0.9,
"ranked_conviction_boost": 1,
"portfolio_score_after_penalty": -0.12557757761638821
},
"QQQ": {
"vol_used": 0.18,
"base_target": 0.3,
"symbol_family": "us_equity_index_etf",
"portfolio_mode": "vol_targeted",
"confidence_used": 0.7,
"portfolio_target": 0.27731335007981067,
"regime_multiplier": 0.8,
"allocation_rescale": 0.924377833599369,
"correlation_penalty": 0.9,
"ranked_conviction_boost": 1.08,
"portfolio_score_after_penalty": 0.35638181771802
},
"SPY": {
"vol_used": 0.15,
"base_target": 0.5,
"symbol_family": "us_equity_index_etf",
"portfolio_mode": "vol_targeted",
"confidence_used": 0.8,
"portfolio_target": 0.5,
"regime_multiplier": 0.8,
"allocation_rescale": 1,
"correlation_penalty": 0.9,
"ranked_conviction_boost": 1.18,
"portfolio_score_after_penalty": 0.7436128024718242
}
},
"applied_config": {
"net_limit": 0.8,
"vol_power": 0.5,
"gross_limit": 1,
"decision_power": 1,
"per_symbol_cap": 0.5,
"confidence_power": 1,
"min_trade_target": 0.05,
"correlation_penalty_enabled": true
}
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