Core product coming soon / launch slice: crypto perps
Turn research ideas into tested strategies.
Alphora is a research and verification platform for systematic traders. Build strategies yourself or with AI, run verified backtests, and compare them against paper performance before you risk capital.
What Alphora does
Reusable signals, verified backtests, and paper tracking
Who it is for
Systematic traders, research teams, and AI-assisted workflows
How you work
Write the strategy yourself or with AI help
Why it matters
Compare research ideas with paper results before risking capital
Fold 02 / Catalogue
Reusable signals, with research and paper status in one place.
Each catalogue page shows what a signal measures, how it behaved historically, and whether Alphora is paper-tracking it today.
Featured signal
Premium reversion
Fades short-horizon dislocations between perp premium, spot-adjusted fair value, and local funding pressure.
Crypto perps / signal / Relative value
Premium reversion
Fades short-horizon dislocations between perp premium, spot-adjusted fair value, and local funding pressure.
Out-of-sample Sharpe
1.94
Paper status
+18.6%
Crypto perps / signal / Carry
Funding basis carry
Harvests persistent funding and basis dispersion while hedging broad directional beta.
Out-of-sample Sharpe
1.47
Paper status
Staged
Crypto perps / signal / Regime
Realized vol regime
Classifies when the cross-sectional environment is supportive for fast mean reversion versus carry or momentum.
Out-of-sample Sharpe
Gate input
Paper status
N/A
Fold 03 / Workflow
Go from signal to strategy in one workflow.
Write the strategy in code, run a local draft, send the real backtest for verification, then follow the paper-traded version in one place.
01
Library
Reusable universes, signals, portfolio construction, and risk helpers, composed in Python by you or with AI.
02
Infrastructure
Verified backtests with point-in-time data, realistic fills, and continuous paper tracking.
03
Workspace
A shared place to review backtests and compare them with paper performance.
Composition example
Draft locally. Verify before you trust it.
Use the same strategy code for a quick local draft, a verified backtest, and the paper-traded version you want to monitor.
import alphora as al
universe = al.universes.crypto_perps_top_20()
premium = al.features.premium_reversion(universe)
regime = al.features.realized_vol_regime(universe)
signal = al.compose.weighted([premium], weights=[1.0])
portfolio = al.construct.market_neutral(
signal,
sizing="vol_targeted",
target_vol=0.10,
)
portfolio = al.risk.regime_gate(portfolio, regime)
draft = al.backtest_local(portfolio, start="2022-01-01")
run = al.backtest(portfolio, start="2022-01-01")
run.paper_trade()Docs
Install and run your first strategy
Start with the library, learn the backtest workflow, and use the planned lower-level API only if you need it.
Examples
See notebook examples
Sample strategies showing how signals become portfolios, backtests, and paper-traded runs.
Pricing
See plans and limits
Understand what changes across tiers as you need more verified runs and paper-tracked strategies.
Roadmap
What ships first, and what follows.
Alphora launches narrow on purpose. We start with signals, backtests, and paper tracking, then expand from there.
Now
Launch the verified core.
Start with a narrow crypto-perps release: reusable signals, verified backtests, and paper tracking in one workflow.
Signals
Verified runs
Paper tracking
Next
Expand the research surface.
Add more markets, richer strategy components, and better ways to compare backtests with paper results.
More asset classes
More primitives
Comparison workflows
Later
Move toward production workflows.
Layer in deeper portfolio tooling, execution paths, and the controls teams need when they move from paper validation toward real deployment.
Portfolio tooling
Execution paths
Team controls
Free tools
Free tools for risk and portfolio intuition.
Use the simulators now to think about path dependence, drawdowns, and diversification, even if you never become a customer.
Monte Carlo / Risk intuition
GBM equity curve simulator
Simulate a distribution of equity paths from drift, volatility, horizon, and path count so you can see what a plausible journey looks like, not just the endpoint.
Portfolio construction / Portfolio design
Multi-strategy portfolio simulator
Simulate how return, volatility, weights, and cross-strategy correlation combine when you trade several sleeves as one portfolio.
Risk / Risk planning
Position sizing and drawdown tool
Translate sizing assumptions into expected loss clusters and drawdown pressure before capital is at risk.
Launch waitlist
The first Alphora release brings research, backtesting, and paper tracking together.
Launch starts with a focused crypto-perps set: reusable signals, verified backtests, and a shared place to review paper results.
Launch drop
Signals + strategy workflow
Included
Docs, notebooks, paper tracking
Access
Waitlist-first release
Join the launch list
One launch email when access opens, plus occasional product updates. No broker spam. No trading guru funnel.