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.🤖
Before AlgoTrade executes, you test.
Backtesting earns your strategy the right to go live. 🤖
AlgoTrade has two backtesting modes: Standard & Probe.
See the next clips to understand when to use each:
The next-gen automated perp DEX is almost here.🤖
Manual trading + strategy automation in one platform.
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Automation meets precision.
We’re proud to support AlgoTrade, the first trading terminal on Hyperliquid which combines both manual and automated trading under one roof.
Traders can build, test, and deploy custom strategies directly on decentralized rails.
A step toward more open, modular trading systems.
Real infra for real traders.
Our Trend Bias Strategy is nearly ready, built to read the market with precision.
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