OLTA Research
Backtest-driven research on the OLTA index library. Findings, methodology, and the case for cross-asset construction. Every number traces back to the engine in lib/backtest.js.
OLTA Backtest Research
The OLTA backtest programme is a complete rebuild of the index library's evidence base. Through Q1 and Q2 of 2026, the team built a backtest engine, backfilled two years of daily price data for the crypto constituents and five years of daily data for the underlying equities behind the tokenised-equity baskets (routed through Dinari for single stocks and Backed Finance for ETFs). The engine simulates each of the 74 indices under its configured rebalance strategy across the available window, computes the standard institutional performance metrics, and stress-tests the results against eight historical crisis windows.
Sharpe by anchor
Bitcoin's risk-adjusted profile depends materially on the window chosen. The figures below are computed from the same daily OHLC the OLTA backtest pipeline consumes, with zero risk-free rate and 252 trading-day annualisation.
| Anchor | Window | Years | Sharpe | Ann return | Vol | MaxDD |
|---|---|---|---|---|---|---|
| 2010-07-17 | Inception | 15.9y | 1.68 | 145.7% | 86.6% | -93.1% |
| 2014-01-01 | Post-mania | 12.4y | 0.59 | — | — | — |
| 2017-08-17 | Binance era | 8.8y | 0.69 | 39.1% | 56.8% | -83.2% |
| 2020-01-01 | Rolling 5y | 6.4y | 0.87 | — | — | — |
How OLTA benchmarks baskets · BTC and OCBE100
Why two references, how OCBE100 is constructed, why per-basket windows are aligned, and how to read the vs-BTC and vs-OCBE100 deltas.
Where your assets live · segregation and regulator coverage
How OLTA segregates client assets, the regulator coverage stack across studied jurisdictions, and the maturity path from public preview to mainnet settlement.