Why
Reason through the factor
Trace point-in-time evidence into an explainable factor construction.
See the reasoning workflowAI Quant Fusion
Market coverage: Crypto, Derivatives, Futures, Commodities, Currencies, Equities, Macro, Prediction Markets
StrategyNet maps how companies, markets, events, and economic forces relate to one another, then converts those relationships into measurable factors. The software lets you create and test new factors, combine raw signals and your own factors with a library of more than 800 existing factors, and evaluate them across thousands of instruments and years of data. Robust optimization then lets you turn the resulting signals into portfolios.
Live factor reasoning
Streaming public commentary- ICIR · 10D
- +4.28
- ICIR · 20D
- +0.45
- ICIR · 60D
- -2.76
- IC · latest
- +0.1057
ModelThe short‑window ICIR of +4.28 means higher‑ranked stocks led; the long‑window ICIR of –2.76 shows lower‑ranked stocks led. This indicates the rank direction changed between horizons.
StrategyUse separate horizon sleeves and decay the short-window exposure before the 60-day inversion.
From evidence to strategy
Follow the same factor through reasoning, timing, and portfolio design.
From market insight to risk-adjusted strategy
A market idea often begins as an initial signal. A news article may reveal an emerging macro trend or geopolitical shift long before its market impact becomes clear. The challenge is to identify how that exposure appears across markets, determine whether it persists through noisy data, and find the portfolio structures that express it efficiently.
StrategyNet.ai applies each technology to the problem it is best suited to solve. AI interprets real-world events and constructs a graph of relationships across market entities. The graph can incorporate observations beyond traded securities, including economic announcements and prediction-market probabilities. Quantitative methods translate those relationships into measurable factors.
Live market data continuously tests how those factors behave across securities and through time. Machine learning helps distinguish persistent structure from statistical noise. Robust optimization evaluates possible portfolio responses while accounting for risk and interaction with other active ideas.
This creates a direct path from observation to scenario design. Researchers can begin with a real-world thesis and trace its effects across the market. They can also start with cross-sectional behavior and investigate the forces behind it. Each idea becomes a testable scenario with explicit assumptions and measurable exposures. AI helps bridge the explainability gap by translating the quantitative drivers of a strategy into a continuously updated narrative. Throughout the process, it also provides an interactive interface to the StrategyNet API.
StrategyNet.ai brings this research process into one accessible platform, making sophisticated portfolio analysis possible without an institution-scale technology stack. The platform is offered through Desktop, iOS, and the web.
Platform
Start with Realtime Factors to see how signals behave now. Carry a promising idea through design, evaluation, and portfolio construction. Execution review is coming soon to Pro Plus.
Step 01Realtime Factor Monitor
Track live factor ranks and symbol projections as conditions change.
Step 02Signal Designer
Turn a market thesis into a reusable factor graph.
Step 03Signal Studio
Test signal strength and stability across the available history.
Step 04Strategy Studio
Build and compare risk-adjusted portfolio allocations.
Step 05Execution Blotter — Coming Soon
Planned for Pro Plus: review candidate baskets before sending approved orders to a connected broker.
Step 01 — Idea to factor
Compose new factors from signal features with AI assistance.
AI Workbench helps transform source features, stacked factors, and optimizer output into reusable factor graphs for systematic research.
- Create composite factors from signal features and stacked factors.
- Optimize input weights with machine learning and compose graphs through the UI or Chat/API.
Live monitoring
Realtime Factors
Track live factor ranks, symbol projections, and intraday factor movement before sending a candidate signal into deeper evaluation.
- Monitor live factor ranks across symbols as market inputs update.
- Compare symbol projections and intraday factor trends before deeper signal evaluation.
Mobile
iOS Apps
The same research workflow on iPad and other iOS devices — included with every plan, on the same live, point-in-time data as the desktop. Monitor factors and review candidates wherever you are, then pick up on the desktop right where you left off.
- Workflow on iPad and other iOS devices, included — no separate mobile tier.
- Access the same tools and workflow: Signal Designer, Realtime Factors, and Strategy Studio.
- Live factor ranks and portfolio review on the move, from one account and one dataset.
Live
Step 02 — Signal to factor evaluation
Evaluate whether a signal has usable information before it becomes a factor.
Signal Studio is the workspace for comparing candidate factors, reviewing evaluation runs, and checking whether an idea has enough statistical structure to justify portfolio construction.
- Rank signal runs by hit rate, information content, spread, and coverage.
- Filter factor families and inspect stability before portfolio construction.
Step 03 — Factor to portfolio
Compare optimizer scenarios before a portfolio moves toward execution.
Strategy Studio brings scenario generation, optimizer configuration, daily performance inspection, and factor attribution in one review workflow.
- Compare optimizer scenarios, performance, drawdown, and rolling information ratios.
- Inspect factor contribution to isolate what is driving the strategy.
Plans
Choose the level of market monitoring, signal research, and strategy testing that fits your workflow.
Base
$49/month
Track the factors moving markets and follow the latest insights on web or mobile.
- Mobile + Web
- Factor Monitor
- Market Factor Insights Feed
What you can do
- Track live factor ranks and symbol projections as conditions change.
- Compare intraday factor trends before deeper signal evaluation.
- Review market factor insights in the same workspace.
Factor coverage
Markets included as inputs to this plan’s factor monitoring and research tools.
- US Equities
- Crypto
- Currencies
- Market Indices
- Futures
- Prediction Markets
Pro
$100/month
Design and backtest signals with AI factor insights and desktop access.
- Mobile + Web + Desktop
- Factor Monitor
- AI Factor Insights Feed
- Signal Designer
- Signals Backtest
What you can do
- Turn a market thesis into a reusable factor graph.
- Rank signal runs by hit rate, information content, spread, and coverage.
- Inspect signal stability across the available history.
Factor coverage
Markets included as inputs to this plan’s factor monitoring and research tools.
- US Equities
- Crypto
- Currencies
- Market Indices
- Futures
- Prediction Markets
- Derivative Markets
Pro Plus
$200/month
Move from signal research to strategy backtesting, with everything in Pro included.
- Mobile + Web + Desktop
- Factor Monitor
- AI Factor Insights Feed
- Signal Designer
- Signals Backtest
- Strategy Backtest
- Execution Blotter — Coming Soon
What you can do
- Build and compare risk-adjusted portfolio allocations.
- Compare performance, drawdown, and rolling information ratios.
- Inspect factor contribution to isolate what is driving the strategy.
Factor coverage
Markets included as inputs to this plan’s factor monitoring and research tools.
- US Equities
- Crypto
- Currencies
- Market Indices
- Futures
- Prediction Markets
- Derivative Markets
Team / Desk
Talk to us
Institutional workflow layer.
- Multi-seat workflow, shared factor libraries, and shared hedge universes.
- Audit log and approval workflow.
- Data entitlement mapping and vendor or exchange-specific controls.
- Custom data integration and custom reporting.
- Permissioned BYOD data.
Cancel anytime* (access continues until the end of the current billing period).*Applies to monthly Base, Pro, and Pro Plus subscriptions. Team / Desk terms follow the applicable agreement.
Built for professional systematic research workflows.
strategynet.ai is a research system from a team of experienced quantitative engineers. It is designed to replicate professional workflows: extract signals, distill them into portable alpha or factors, use those factors to drive optimization, and connect the results to systematic analysis and portfolio monitoring.
Realtime Factor ProjectionsWatch stage 2 of the workflow · 0:34One factor model, every asset class
Equities, ETFs, futures, options, FX, crypto, indices, and prediction markets feed the same factor and optimization framework instead of separate tools.
AI-assisted, human-reviewed
AI Workbench helps compose and weight factor graphs. You still review every scenario before it reaches an execution API.
Execution-linked workflow — Coming Soon
The forthcoming Pro Plus Execution Blotter will connect reviewed strategies to a broker submission workflow.
Security built in from Pro up
Authenticator-app two-factor authentication, scoped API keys, and session-based access controls ship with every paid tier.
Frequently asked questions
What teams evaluating strategynet.ai ask us most often.
Is this investment advice or a recommendation to trade?
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.
What data does it cover?
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.
Do I need to write code to use it?
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.
How is my account and data protected?
Authenticator-app two-factor authentication, scoped API keys, and session-based access controls are available from the Pro tier up.
Which plan is right for my team?
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.
Does strategynet.ai place trades for me?
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.
Turn your next idea into a tested, optimized portfolio.
Start with Base today, or talk to us about a Team or Desk deployment scoped to your data and 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.