Since the last update on the AlgoTrade CLI repository, the validation engine has expanded. Three additional analysis layers have been added: • Fee impact modelling - adjusts risk/reward and break-even thresholds after trading fees. • Capital projection - models equity impact across consecutive losing trades to visualise potential drawdown. • Strategy expectancy thresholds - estimates expected R-per-trade at different win rates. The CLI now evaluates trade structure, risk exposure and capital impact before a position is deployed. These tools are part of a broader effort to build more structured trading infrastructure around strategy deployment, risk validation and automated trading workflows. The goal is simple: bring the kind of discipline and structure used in professional trading environments into the onchain trading stack. More to come.

While the AlgoTrade platform continues development, we’re creating an open-source AlgoTrade CLI repository. The first use case is a structured strategy validation and risk stress testing tool. Traders define their strategy, entry, stop, target and filters in a deterministic format. The engine evaluates rule completeness, risk-reward integrity, required break-even win rate, capital exposure and defined failure scenarios before capital is deployed. Further details and release information soon.🤖

The AlgoTrade Team wishes you all a Happy New Year!

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