Regime
Establish broad market conditions before assessing an individual setup.
Case 02 / Research system / 2025–2026
A risk-first financial education and analytical concept for regime-aware research, multi-timeframe confirmation and structured alerts.
The concept
StockSense AI and the related Stock Gita research framework organize market context before any alert is presented. The concept combines market-regime classification, calendar windows, multi-timeframe evidence and explicit risk language in one explainable workflow.
Framework
Establish broad market conditions before assessing an individual setup.
Use calendar expansion windows and event context as research inputs rather than promises.
Compare multiple timeframes and evidence layers before creating a structured signal.
Present the factors, limitations and risk context beside the result.
A simulated dashboard demonstrates how evidence, scenarios and alerts can be arranged for clarity.
A separate Python prototype retrieves Bitcoin spot data and can send scheduled price updates with a provider fallback.
Disclosure, privacy, terms and risk documents are treated as part of the product structure—not an afterthought.
This page describes an educational research concept and prototype materials. The interface shown is simulated. It does not display a live portfolio, verified trading performance or personalized recommendations.
Nothing here is investment, legal or tax advice, an offer to buy or sell securities, or a guarantee of outcomes. Markets involve substantial risk, including loss of principal. Independent verification and advice from qualified professionals are essential before making financial decisions.