More complete loops before the edge moves.
Write the strategy once, then run the same artifact through backtest, out-of-sample simulation, paper, and live. Less rewriting means faster decisions to kill, revise, or promote.
Outrun alpha decay by doubling your honest experiments.
Finding ideas is the easy part. The hard part is turning them into trusted, deployable evidence fast enough to repeat the loop before the market moves.
Velocity × Validation × Variety
A faster research loop only matters if it produces evidence you can trust. PIER20 uses V³ to turn more ideas into better strategy decisions: move faster, test harder, and build a bench that can handle more market conditions.
Catch overfitting before it reaches capital.
Every candidate goes through default checks for trading costs, slippage, out-of-sample behavior, robustness, turnover, exposure, and paper performance.
Build for more than one market.
When experiments are faster and cleaner, you can test beyond the one signal, asset, or regime that already works. Build a bench across horizons, markets, and conditions. The archive checks whether a "new" idea is actually new.
The system that produces V³
PIER20 works harder at every step of the research loop so more ideas can move through one validated system: notation, engine, archive, and AI.
Velocity starts with one Strategy artifact.
A dense, AI-native notation turns strategy intent into a single artifact that runs through every phase: backtest, simulation, paper, and live. No rewrite between stages. Less programming noise. Faster full research loops.
Validation runs on a high-speed engine.
- Backtest speed
- 50M ticks/s
- Live execution
- <20ns
The engine runs the Strategy artifact through backtests, simulations, paper, and live. Simulations enforce default checks for costs, slippage, OOS behavior, robustness, turnover, exposure, drawdowns, and paper performance. That reduces the chance that overfit backtests survive into capital.
Variety compounds in the archive.
Every experiment, variant, result, paper trail, live run, promotion, retirement, and kill reason is remembered. The archive helps analysts build on priors, avoid repeating old work, and spot when a "new" idea is just the same exposure in another wrapper.
AI closes the loop.
Your own LLM works across the notation, engine, results, and archive: writing strategies, debugging finance-native errors, reviewing findings, generating variants, and suggesting the next improvement.
Run one idea in minutes
Put one of your tested ideas or a thesis through PIER20 V³ and watch it become a finance-native notation, run through the evidence stack, and give you real feedback. No platform migration. No portfolio migration. Just one strategy through V³.
Run one idea →Outrun alpha decay by doubling your honest experiments
Finding ideas is the easy part. The hard part is turning them into trusted, deployable evidence fast enough to repeat the loop before the market moves.
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PIER20 provides research software and does not provide investment advice or make investment recommendations. PIER20 is not authorised or regulated by the Financial Conduct Authority. Nothing on this website should be relied upon as investment advice or a recommendation to buy or sell any financial instrument.