Sophon Pillar
Last updated
Annual return [1]
23.6%
Benchmark [1] ( Nasdaq-100 )
15.1%
Excess return [1]
8.5%
Max drawdown [1]
−4.5%
10 most recent orders
QuantityValueFilled at (UTC)- AVGOBuy0.0274$10.0022 Sept, 19:55
- AMATBuy0.0212$10.0022 Sept, 19:55
- PEPSell0.0805$10.5622 Sept, 19:55
- PEPBuy0.505$65.5418 Sept, 19:55
- MUBuy0.0343$34.8318 Sept, 19:55
- MELIBuy0.0207$36.9318 Sept, 19:55
- BKRBuy2.56$146.4718 Sept, 19:55
- BKNGBuy1.13$189.3518 Sept, 19:55
- AVGOBuy0.172$61.3818 Sept, 19:55
- AMGNBuy0.146$56.2418 Sept, 19:55
Top 10 holdings
- AMATApplied Materials23.11%
- BKNGBooking Holdings15.89%
- BKRBaker Hughes13.79%
- AVGOBroadcom Inc.12.87%
- METAMeta Platforms6.95%
- AMGNAmgen5.52%
- PEPPepsiCo5.15%
- MUMicron Technology3.50%
- MELIMercadoLibre3.34%
- NVDANVIDIA3.11%
Alpaca broker account
Training start
Assets screened on
Currency
Trading frequency
Agent description
This Sophon-3 AI model flow starts with the Nasdaq-100 as the asset universe, then runs a single AI model node: Sophon-3 Screener.
The idea is simple: narrow the universe to more interesting candidates and send the results into portfolio construction. This creates a practical workflow where screening and portfolio construction work together instead of as separate steps.
In this template, Sophon-3 Screener uses the data type Total Equity. Total Equity represents the shareholders’ residual claim on the company (assets minus liabilities); it helps describe the balance-sheet cushion and how much value is attributable to owners after debts are accounted for.
This gives the screener a balance-sheet strength lens (how much net value supports the business).
Sophon-3 Screener is an AI model node that continually learns from new market dynamics instead of relying on fixed screening rules. Its role is to filter the Nasdaq-100 toward stocks with stronger potential versus the benchmark.
1. The metrics are measured since live deployment of the agent. 21 Apr 2026