A
Market context layer
Custom watchlists, benchmark ETFs, movers, indicators, event calendar timing, and headline summaries build session awareness.
About the product
A disciplined market-learning workspace for practical decision training.
TENEONEW is designed for users who want U.S. market context before acting on ideas. The experience combines customizable watchlists, headline briefings, simulated trading workflows, and educational drills in one Android-native environment.
Structured workflowObserve context, plan risk, simulate decisions, then review outcomes.
Clear boundaryEducational market-awareness practice only, not brokerage execution.
Built around discipline
The app encourages repeatable process instead of one-off guesses.
Core product pillars
Three layers work together in every session.
B
Simulation layer
Simulated trade ticket, positions view, order history, and trend backtest tools let users test discipline without real-money exposure.
C
Education layer
Risk calculator, reward/risk planning, glossary terms, quiz flow, and pre-trade drill checklist support practical learning habits.
Reliability by design
Headline briefings include refresh, fallback, and retry behavior, and app screens support loading, empty, and error states with clear recovery entry points.
Android-native structure
The UI follows a clear top bar, content area, and bottom navigation flow, with safe-area awareness for status and system bars.
Transparent disclosure model
In-app disclosures and data-source notes explain educational intent, market-data limitations, and separation from financial advice.
Permission restraint
Network access is requested only for optional headline refresh. No contact, location, Bluetooth, camera, microphone, or account-linking permissions are required.
What users can expect inside TENEONEW
- Fast orientation across watchlists, benchmark ETFs, movers, indicators, and event timing.
- Reliable headline reading with refresh and fallback handling.
- End-to-end simulation tools from order ticket to position review and backtesting.
- Education features that force risk planning before trade rehearsal.