How our products are built, what ships in each release, and the decisions we make under the hood. Straight from the EasyTrading team.
Studio is available across three desktop platforms. A look at useful alpha.4 changes, CopyTrader’s guide to connecting subscribers and the portfolio-management concept.
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What to delegate to AI when working on a strategy, when a trader’s confirmation is needed, and how to retain manual control over code, parameters and the start of live trading.
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A profitable backtest, a successfully copied order and a live return are three different kinds of evidence. A trading workflow should never present them as interchangeable.
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A smooth equity curve may come from a sound idea, parameter fitting, or fills that were never attainable. We take one backtest from hypothesis to a decision: reject it, revise it, or move it to forward validation.
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Local stdio describes how an MCP client talks to the host, but it does not guarantee a fully local AI process. This guide maps the complete data path and practical security boundaries.
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XTester MCP connects an AI agent to a local environment for developing and historically testing strategies, including the project, compiler, market data and test results.
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An AI agent may improve a strategy only on paper if the data, fees or execution model changed with the code. Here is what to preserve so another run can reproduce the result.
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We compared two ways to copy a position. On one day of data they behaved identically; differences appeared after rounding and changed order-state rules.
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XTester added a supervised Launcher and a guarded Hyperliquid Testnet path, CopyTrader launched Hyperliquid for trade copying, and TradeStat opened a public demo interface. Here are the most important changes and the remaining readiness boundaries.
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The new XTester release helps the AI lab reject non-working candidates earlier and return to a version supported by real trades and fresh out-of-sample evidence.
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