Research-driven
trading models.
Arb Street Capital gives individual investors a way to automate their investments while keeping control of their own brokerage accounts. License a trading model, link it to your account, and automate trades according to its rules. Your investments stay in your account, with a research-driven model guiding the process.
Different assets.
Different drivers.
Veritas and Saber draw on a shared universe of nine investment assets as their core building blocks for growth. The mix gives the models a range of return drivers as market conditions change. Many asset pairs in the analysis have historically moved independently or in opposite directions, supporting diversification rather than dependence on a single market trend. Correlations can change, and diversification does not eliminate losses.
| Asset | ETF 1 | ETF 2 | ETF 3 | ETF 4 | ETF 5 | ETF 6 | ETF 7 | ETF 8 | ETF 9 |
|---|---|---|---|---|---|---|---|---|---|
| ETF 1 | 1.00 | -0.17 | 0.08 | -0.08 | 0.20 | -0.27 | 0.11 | -0.38 | -0.63 |
| ETF 2 | -0.17 | 1.00 | 0.05 | -0.30 | -0.20 | 0.68 | 0.13 | 0.16 | 0.15 |
| ETF 3 | 0.08 | 0.05 | 1.00 | 0.33 | -0.51 | 0.00 | 0.09 | 0.15 | 0.15 |
| ETF 4 | -0.08 | -0.30 | 0.33 | 1.00 | -0.40 | -0.16 | -0.29 | 0.06 | 0.31 |
| ETF 5 | 0.20 | -0.20 | -0.51 | -0.40 | 1.00 | -0.18 | 0.31 | -0.21 | -0.35 |
| ETF 6 | -0.27 | 0.68 | 0.00 | -0.16 | -0.18 | 1.00 | 0.08 | 0.29 | 0.24 |
| ETF 7 | 0.11 | 0.13 | 0.09 | -0.29 | 0.31 | 0.08 | 1.00 | 0.00 | -0.21 |
| ETF 8 | -0.38 | 0.16 | 0.15 | 0.06 | -0.21 | 0.29 | 0.00 | 1.00 | 0.50 |
| ETF 9 | -0.63 | 0.15 | 0.15 | 0.31 | -0.35 | 0.24 | -0.21 | 0.50 | 1.00 |
Asset correlations for time period 06/01/2019 - 10/31/2026 based on monthly returns
Investment philosophy
Research informs.
Discipline guides.
We believe investment decisions should follow a clear, repeatable process. Our models begin with published research and combine relative strength—how assets perform against one another—with an assessment of each asset’s own trend. Machine learning helps refine that foundation.
Diversification shapes the opportunity set. By considering assets with different return drivers, the models can respond to changing market conditions. These relationships evolve, so we view diversification as part of the process, not a guarantee against losses.
Risk awareness is central to how we assess the models. In their respective simulated histories through October 31, 2026, Veritas had a beta of 0.49 and Saber a beta of 0.45, compared with 1.00 for the S&P 500 ETF benchmark. These figures indicate lower historical sensitivity to movements in that benchmark. Beta captures only one aspect of risk: Saber’s overall simulated volatility was higher than its benchmark’s, and both models can lose value.
Our role is to provide the model and a systematic approach to execution. Investors retain ownership and control of their brokerage accounts while choosing a strategy that fits their objectives and tolerance for risk.
Model development will remain an ongoing process. As new investment products build sufficient historical data, we will evaluate them for backtesting, model training, and validation. Changes will be guided by evidence and their effect on the models’ risk and return characteristics.
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