Paper Trading With Memory
Treat simulated trades as a real training record, not disposable practice.
An AI-native review layer in development
Cultivate Your Edge.
EdgeGarden is a trading journal for paper traders, prop-firm candidates, and emerging operators learning to turn repetition into judgment.
Skill is not found. It is cultivated.
EdgeGarden is being built for the phase where habits are still forming: simulated sessions, funded-account evaluations, small size, repeated mistakes, and the daily work of learning what your process actually is.
The review layer
AI where it has leverage.
Language models are useful here because trading journals are not just tables. They are records of decisions, hesitation, conviction, risk, emotion, and repeated behavior.
EdgeGarden is being designed around purpose-built review workflows and application memory so analysis becomes more personal over time. The goal is to help traders see what keeps repeating before those patterns become expensive.
Built for the learning curve
For traders still cultivating the process.
Prop Evaluation Discipline
Track risk, hesitation, overtrading, and rule breaks before they decide the account.
Professional-Grade Review
Use beginner repetitions to build the evidence base a serious trader would respect.
Most traders hunt for an edge. Gardeners understand that an edge must be cultivated.
Selective early access
Help define the training ground.
The first version will be shaped with a narrow circle of traders who take review seriously, including those paper trading, preparing for prop-firm rules, or building discipline before meaningful capital is at risk.