Education, simulation and coaching,
in one learning loop
Traderwise is an AI-native marketplace for trading education, simulation, and expert coaching. The product combines paper trading, journal review, explainable signals and marketplace services without providing personalised investment advice or live execution.
Simulated paper trading only - no real money, no broker connection.
Four steps. Education first.
Each step builds on the last: market education, simulated practice, journal review and expert coaching. The client remains responsible for any real-world decisions outside Traderwise.
The app organises market education
Traderwise brings signals, market context, instrument coverage and learning prompts into one education workflow so clients can understand why a setup is being discussed.
You practise in simulation
Paper trading, backtesting and journal tools help clients practise risk rules, entries, exits and review habits without real-money execution or broker custody.
You review your process
Every closed paper trade can be reviewed for discipline, sizing, regime fit and repeatable behaviour. The goal is better learning evidence, not an outcome guarantee.
You learn with expert coaches
The marketplace helps clients find traders for education-only sessions, journal review, risk-process education, platform onboarding and structured cohorts.
The AI layer is built around accountability
No magic-number black boxes. No guru calls. Traderwise keeps explanations traceable, keeps simulation separate from execution and gives coaches better context for education-only review.
Use historical examples to understand how an idea behaved across instruments, regimes and samples before treating it as useful learning evidence.
Traderwise can help surface repeated paper-trading habits such as oversized positions, chased entries, held-too-long exits or weak journal discipline.
A no-trade learning prompt can be as valuable as a setup. Mixed indicators, weak regimes and scheduled macro risk are framed as study points, not personalised advice.
Win rate, expectancy, R:R, sample size, regime fit, consistency, discipline and drawdown can support education review, but they do not certify future results.
Simulated spread, commission, overnight cost and margin assumptions make practice more realistic while remaining separate from real broker execution.
Cross-instrument examples such as USD-sensitive moves across Gold, EUR/USD and GBP/USD help explain confluence and regime thinking.
The learning layer can compare new examples with your own paper-trading and journal history so coaching starts from your actual practice record.
Public explanations should show what evidence is being used, what remains uncertain and where a coach or client needs to apply judgement.
19 instruments across every major asset class
Simulated as CFDs with realistic leverage, position sizing, and broker costs. These are training assumptions for education and paper trading, not broker execution or custody.
Ready to learn with Traderwise?
Free tier: 10 Quantum AI questions a day, full paper trading, full edge analytics. Pro adds 5,000 Quantum AI questions a month, deeper monitoring, briefs, alerts, and exports for £15/month. Coach listings and marketplace actions stay education-only.
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