AI Trading The Future of AI Trading Interfaces Is Not Another Dashboard Dashboards show state. They do not answer cause. The AI trading interfaces that matter most are not dashboards. They are conversations grounded in real account data.
MCP Hosted MCP vs Local MCP for Trading Systems Local MCP is useful for experiments. Production trading needs OAuth, scoped permissions, an NT8 bridge, journal and webhook history, and updates that ship when NT8 changes. CrossTrade ships that.
NinjaScript Claude Code, NinjaScript, and the Compile Loop Traders Actually Needed The reason AI-generated NinjaScript usually fails is that the model has never seen your install. CrossTrade MCP plus Claude Code changes that. The compile loop now converges in three or four iterations.
MCP From Prompt to Strategy Analyzer: How MCP Changes AI-Generated NinjaScript The old AI NinjaScript workflow was prompt, paste, hope. The new one is prompt, compile, repair, backtest, compare. Model Context Protocol is what made the difference.
MCP We Verified NT8 Strategy Analyzer Parity Through MCP If an AI agent decides whether to deploy based on a backtest, the backtest engine has to be the same one that will run the strategy live. RunStrategyBacktest through CrossTrade MCP drives the actual NT8 Strategy Analyzer engine, and we have the parity proof to back it.
MCP Why MCP Is the Control Plane for AI Trading Agents Trading is not a normal SaaS workflow. It needs typed tools, scoped permissions, and explicit approvals. Model Context Protocol is the right shape for that, and it is becoming the control plane for AI trading agents.
