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Systematic Trading Infrastructure
AlphaLab is a strategy lifecycle and operating platform for systematic trading. Build or import strategies, validate them with evidence, deploy them across supported runtimes and brokers, then monitor risk, health, orders, positions, logs, and versions from one control surface.
Early access will open in stages. Framework, broker, market, and runtime support will be labeled by maturity and verification state.
QuantGist
Market intelligence and event data.
AlphaLab
Strategy lifecycle and operating infrastructure.
AlphaLab treats the strategy as the primary object. Research, evidence, deployments, runtimes, accounts, risk, logs, approvals, and versions stay attached to the same operating context.
Create or import strategy logic from visual rules, Pine, Python, or supported frameworks.
Backtest against market data, events, regimes, execution assumptions, and parameter ranges.
Preserve reproducible results, provenance, comparisons, and robustness checks.
Review behavior, stress risk, inspect trades, and decide whether a version is deployment-ready.
Bind a validated version to a runtime, broker, account, environment, and risk policy.
Monitor positions, orders, signals, heartbeats, latency, logs, incidents, and PnL.
Control permissions, secrets, approvals, audit history, policies, and team ownership.
Version, compare, roll back, and promote changes without losing operational context.
AlphaLab is designed to carry a validated strategy into a managed runtime with broker and account binding, environment configuration, secrets, risk policy, health state, logs, and rollback.
Deployment is the midpoint, not the finish line. AlphaLab brings active strategies into one operating surface for positions, orders, signals, runtime health, broker state, incidents, risk consumption, and intervention.
Bring the strategy representation that fits your workflow, then operationalize it through supported adapters. AlphaLab is built around framework portability and broker connectivity rather than locking the lifecycle to one script language or execution venue.
Research remains a first-class part of the platform because deployment without evidence is fragile. Backtests, event studies, stress tests, comparisons, and reproducibility metadata stay attached to the strategy version that eventually runs.
Execution and risk control
AlphaLab is designed so strategy logic does not need unrestricted broker access. Deployment can pass order intent through a shared risk and broker layer where account, symbol, size, market state, drawdown, spread, duplicate-order, and policy checks can be applied consistently.
The underlying strategy, research, runtime, broker, risk, and observability platform stays shared while the interface and controls scale with the user.
Consumer / Mobile
Low-friction strategy discovery, simplified testing and deployment, push monitoring, and clear operational status.
Professional Self-Service
Serious strategy engineering, framework portability, evidence, code workflows, broker connectivity, and managed deployments.
Enterprise / B2B
Teams, permissions, policies, audit, approvals, dedicated environments, integrations, observability, and operational control.
Bring your strategy
The platform direction is framework-neutral: visual strategy definitions, TradingView alert automation, Pine workflows, Python, VectorBT research, NautilusTrader, LEAN, MQL/MT5 bridges, and additional adapters can map into the same strategy lifecycle.
Early-access support will be explicit: Available, Beta, Experimental, or Planned. No integration should look production-ready until it has been verified.
See the QuantGist intelligence layerVisual rules, code, versions, framework adapters, and portable strategy identity.
Backtests, events, evidence, replay, provenance, and reproducible comparisons.
Runtimes, brokers, accounts, risk policies, order intents, and deployment state.
Identity, billing, secrets, teams, permissions, audit, policies, and approvals.
Early Access
Tell us where AlphaLab would create the most value for you. We will use that signal to prioritize early-access cohorts, broker and framework rollouts, bot-management workflows, and professional or enterprise onboarding.
Operating model
User-owned strategy + user-owned broker account + user-directed configuration + AlphaLab infrastructure and controls.
AlphaLab is infrastructure and research software, not investment advice, a brokerage, managed account service, copy-trading network, or guarantee of profitability. Backtests, simulations, and paper results are hypothetical and do not predict future performance. Live deployment remains subject to broker, market, account, jurisdiction, and integration constraints.