Access & Packaging
Choose your workspace and tier.
Flat team pricing with zero seat counting for institutional funds. Self-serve research tools for individuals. Free open core in the terminal.
Institutional Firm OS · /portal
One flat price per tier. The whole team. No seat counting.
Each tier includes everything in the one before it. Tiered by research pods and deployment custody—never per-seat meters. Firms get org-scoped ae_live_ keys through Connect; retail has no CLI; anyone can pip install alphaengine free.
Core
$10,000per month · whole team · no seats
Funds under ~$250M AUM running one research pod (whole team, no seats)
Full institutional Workbench, AlphaEngine CLI connect (ae_live_ keys & workspace sync), Strategies & Risk Monitor, HRP & Firm Portfolio Risk Optimizer, Dataset Registry, and cited IC packets.
- Whole-team workspace — zero per-seat meters
- Connect AlphaEngine CLI (org-scoped ae_live_ keys, ae push / ae pull sync)
- Strategies & Risk & Monitor (drawdown, step volatility, 5% VaR)
- HRP sizing & Firm-Only Portfolio Risk Optimizer
- Connect to the fund's own data feeds + View checks & Dataset Registry
- Hypothesis Board, Experiment Ledger & Trace as the desk's memory
- Cited Investment Committee & CIO packets in PDF and Word
Pro
$15,000per month · whole team · no seats · 2+ research pods or strategies
Funds with 2+ research pods or strategies (whole team, no seats)
Cross-pod Strategy Book, cross-pod overlap checks, Event-Driven Watchlists, and the interactive IC Room with logged decisions.
- Everything in Core across 2+ research pods or strategies
- Multi-Pod Strategy Book with cross-pod overlap & HRP allocation
- Multiple data sources per pod
- Event-Driven Watchlists & Triggers
- IC Room with inline section comments and logged approve / reject / revise decisions
- Desk & Floor agents operating across pods with per-pod onboarding
Enterprise
$25,000per month · whole team · no seats · dedicated deployment
$500M to $1B institutional funds requiring dedicated isolation
Dedicated deployment, per-fund data separation, custom automated desks, Exam-Ready Research Log exports, and Investor Verification reports.
- Everything in Pro with dedicated deployment & per-fund data isolation
- Custom risk limits and multi-stage approval gates
- Custom automated desks built for the fund's workflow
- Exam-Ready Research Log export (hash-stamped trail from thesis to IC decision)
- Investor Verification Network reports for allocators
- Agents tuned to the fund's methodology + security review & named support
| Dimension | Core · $10K/mo | Pro · $15K/mo | Enterprise · $25K/mo |
|---|---|---|---|
| Who it's for | Funds under ~$250M, one research pod | Funds with 2+ research pods or strategies | $500M to $1B funds |
| Pricing model | $10,000/mo flat team rate (no seats) | $15,000/mo flat team rate (no seats) | $25,000/mo flat team rate (no seats) |
| CLI & API keys | Org-scoped ae_live_ keys via Connect + ae push / ae pull | Org-scoped ae_live_ keys across pods + audit log | Dedicated deployment keys + custom governance |
| Workbench | Everything in Power + Strategies, Risk & Monitor, HRP sizing & Firm-Only Portfolio Risk Optimizer | Strategy Book across pods, cross-pod overlap checks | Custom risk limits and approval gates |
| Data | Connect to the fund's own data feeds, View checks, Dataset Registry | Multiple data sources per pod | Dedicated deployment and per-fund data separation |
| Workflow | Hypothesis Board, Experiment Ledger, Trace as the desk's memory | Event-driven watchlists & automated triggers | Custom automated desks built for the fund |
| Decisions | Committee packets in PDF & Word, cited to the exact run | IC Room with comments and logged decisions | Exam-ready research log, investor verification reports |
| AI | Desk & Floor agents (propose only) | Agents working across pods | Agents tuned to the fund's own methodology |
| Trust & support | Trust pack, shared channel with the founder | Onboarding for each pod | Security review support & named support contact |
White-Label Fund OS
Custom contract for institutional deployment under your own branding and domain, with isolated infrastructure and configurable research methodology.
Individual Research Suite · /retail
Research tools, never advice.
Start with S&P 500 screening and Deflated Sharpe checks on Starter, unlock the full Research Hub on Pro, or build an allocator-ready verified track record on Power.
Starter
$79per month · or $65/mo billed annually · research tools, never advice
Curious investors learning to test ideas with statistical rigor
S&P 500 screening, falsifiable thesis contracts, and Deflated Sharpe + cumulative trial counts on every backtest.
- S&P 500 scans & bring-your-own data key
- Ideate & Test with 25 backtests/month
- Deflated Sharpe & cumulative trial count on every result
- 30-day run history & AI Copilot result explanations
- On-screen research reports (web-only; no CLI or ae_live_ keys)
Pro
$149per month · or $119/mo billed annually
Serious individual researchers building a permanent research record
Unlimited web backtests, saved Point-in-Time universes, the Experiment Ledger, Robustness Grid heatmaps, and PDF dossiers.
- Everything in Starter, plus unlimited web backtests
- Saved Point-in-Time (PIT) Universe Builder (delisted names retained)
- Experiment Ledger + QuantConnect & VectorBT study importers
- 1-Click Robustness Grid (parameter, regime & cost shock heatmap)
- Hypothesis Board (open, testing, killed, promoted) & full Trace history
- AI Copilot research note drafting & 2-page PDF research dossiers
Power
$299per month · or $249/mo billed annually · track-record builder
Independent quants and researchers building a verifiable web track record
Custom dataset uploads with View checks, Walk-Forward ML, PBO (CSCV) and combinatorial out-of-sample stability, Factor & Overlap Lab, Desk & Floor agents, and shareable verification links.
- Everything in Pro, plus custom CSV dataset uploads with View hygiene & Dataset Registry
- Walk-Forward ML, triple-barrier labeling, PBO (CSCV) and combinatorial out-of-sample stability
- Factor & Overlap Lab (6-factor decomposition, N_eff & residual alpha)
- Prior-Work Check & paper-strategy Decay Monitor
- Desk & Floor AI agents (propose-only) & shareable Verification Report link
| Dimension | Starter · $79/mo | Pro · $149/mo ($119 annual) | Power · $299/mo |
|---|---|---|---|
| Who it's for | Curious investors learning to test ideas | Serious individual researchers | Independent quants & track-record builders |
| Universe & data | S&P 500 scans, bring your own data key | Broader universes, saved Point-in-Time universes | Upload custom datasets with View checks, Dataset Registry |
| Testing | Ideate & Test with monthly backtest cap (25/mo) | Unlimited backtests, Robustness Grid heatmap | Walk-forward ML, triple-barrier labeling, PBO (CSCV) and combinatorial out-of-sample stability |
| Honesty layer | Deflated Sharpe & cumulative trial count on every result | Experiment Ledger, QuantConnect & VectorBT importers | Full trial history, Factor & Overlap Lab |
| Memory | 30-day history | Hypothesis Board (open/testing/killed/promoted), Trace history | Prior-Work Check, Decay Monitor on paper strategies |
| CLI & API keys | Web-only (anyone can pip install alphaengine free) | Web-only (anyone can pip install alphaengine free) | Web-only (anyone can pip install alphaengine free) |
| AI | Copilot that explains the results | Copilot that drafts research notes | Desk & Floor agents (propose only) |
| Output | On-screen reports | PDF research reports | Shareable verification report |
AlphaEngine
The open-source Python validation library (deflated Sharpe, PBO via CSCV, combinatorial out-of-sample stability, and trial-count honesty) free for anyone to install locally.
- $ pip install alphaengine==1.1.2 · free open-source Python library
- Refuses to issue a verdict when the number of trials tested was not recorded
- Firm tiers connect AlphaEngine in the portal (Connect) to mint ae_live_ keys
Does your backtest survive its trial count?
Enter the raw Sharpe of a strategy you are about to show your Investment Committee alongside the total number of parameter variations tested. AlphaEngine computes the expected maximum Sharpe of noise (SR0), the multiple-testing-adjusted Deflated Sharpe Ratio (DSR), and the minimum track record length (MinTRL).
Research Hub Architecture
From conversations to research objects.
Every hypothesis, dataset version, experiment trial, strategy sleeve, and committee decision is saved as an object you can name, link, re-run, and compare.
Fat-Tail Drawdown Shock
−1.82%
4.4 / 6 Bets
+2.18 pp
Illustrative / hypothetical example. Not actual or projected results, not investment advice.
01
Hypothesis Board & Prior-Work Check
Every idea becomes a permanent card with a pre-committed kill criterion. Prior-work checks surface past tests and killed theses before you re-run.
02
Experiment Ledger & Robustness Grid
Every backtest counts toward the trial total across Portal, AlphaEngine CLI, QuantConnect, and VectorBT, updating Deflated Sharpe live.
03
Dataset Registry & PIT Universes
Every dataset version receives a SHA-256 hash, point-in-time coverage score, delisted-stock retention, and survivorship/look-ahead verification.
04
IC Room & Exam-Ready Log
Living committee memos where every figure links to its run, reviewers comment on the record, and decisions are logged with who decided and why.