Reason through the factor
Trace point-in-time evidence into an explainable factor construction.
See the reasoning workflowStrategyNet combines point-in-time market evidence, factor analysis, and constrained portfolio construction in one reviewable workflow. Start with a thesis or an observed market pattern and retain the assumptions behind each result.
Current factor evidence, monitored strategies, commentary, and research notes are available across the public site.
ModelThe published window returned +6.18%, while the latest 20 sessions returned +1.07%. The divergence between long‑term and recent paths is the key finding of this briefing.
StrategyObserve whether the latest completed‑session return path reverses direction in the next update.
Follow the same factor through reasoning, timing, and portfolio design.
Trace point-in-time evidence into an explainable factor construction.
See the reasoning workflowEach stage carries forward the evidence and assumptions needed to review the next one.
Collect point-in-time market, fundamental, event, and alternative data in a shared entity context.
Turn a thesis or observed pattern into factors, then test information content, spread, coverage, and stability.
Compare allocations under explicit objectives, risk estimates, constraints, and robust optimization settings.
Track factor health, strategy performance, drawdown, attribution, and the evidence behind each update.
Research, testing, and construction use the same factor definitions and point-in-time history. Select a workspace to see the part it handles.
Compose source features and stacked factors in a reusable graph. Point-in-time observations and definitions carry into evaluation without rebuilding the analysis.

Monitor live factors on the move, review candidates on iPad, and continue the analysis in the browser or downloadable desktop application.
Choose the level of market monitoring, signal research, and strategy testing that fits your workflow.
Track the factors moving markets and follow the latest insights on web or mobile.
Markets included as inputs to this plan’s factor monitoring and research tools.
Design and backtest signals with AI factor insights and desktop access.
Markets included as inputs to this plan’s factor monitoring and research tools.
Move from signal research to strategy backtesting, with everything in Pro included.
Markets included as inputs to this plan’s factor monitoring and research tools.
Institutional workflow layer.
Flexible monthly billing. Cancel renewal anytime; your access continues through the period you have already paid for.Team and Desk plans follow their applicable agreement.
StrategyNet preserves the evidence, tests the signal, compares portfolios, and retains a reviewable path through the result.
Equities, ETFs, futures, options, FX, crypto, indices, and prediction markets feed the same factor and optimization framework instead of separate tools.
Source observations, factor definitions, evaluation results, and portfolio assumptions remain available as the work progresses.
Authenticator-app two-factor authentication, scoped API keys, and session-based access controls ship with every paid tier.
What teams evaluating strategynet.ai ask us most often.
No. strategynet.ai is research and portfolio-analysis software. It organizes signal evidence into factors and produces candidate scenarios for your own review. Outputs are analytical, not personalized investment advice, and you are responsible for your own investment decisions.
Real-time and historical data across US equities, ETFs, futures, options, FX, crypto, major indices, prediction markets, and financial statements, feeding one shared factor model.
No. Every studio is point-and-click. Teams that want programmatic control can also compose factors and automate workflows through the API and Chat interface.
Authenticator-app two-factor authentication, scoped API keys, and session-based access controls are available from the Pro tier up.
Base covers market factor monitoring on web and mobile. Pro adds AI factor insights, signal design, backtesting, integrated compute, and desktop access. Pro Plus adds strategy backtesting. Team / Desk is scoped separately for multi-seat and custom workflows.
Not currently. The Pro Plus Execution Blotter is coming soon. It is designed so that you review and approve every order before it is sent to a connected broker such as Alpaca. strategynet.ai will not take custody of assets or manage your account on a discretionary basis.
Compare current factors and monitored strategies, or contact us about a team workflow.
strategynet.ai can generate candidate trade scenarios based on selected factors, constraints, and portfolio data. These scenarios are model outputs for analysis only. They are not recommendations, investment advice, or instructions to trade. You are responsible for independently reviewing all outputs before taking any action.