hhramos/etradebot-wheel

ETradeBot Wheel Strategy UI is a local web application that helps someone run the options wheel strategy, a slow moving options trading approach, on their own ETrade brokerage account. Everything runs on the user's own computer rather than in the cloud, credentials are only ever kept in memory while the app is open, and nothing is written to disk or sent to any outside service. The wheel strategy involves selling monthly options contracts and only trading a handful of times a week, so the app is built around a short daily routine rather than constant supervision. In the morning, a person opens the app and logs into ETrade, which the tool deliberately requires every day rather than storing a long lived connection. During the day, the app checks positions every thirty minutes and can close a trade automatically once it hits a set profit target, or flag anything that needs attention. In the evening, a person can ask a built in advisor in plain English what happened that day and why. The tool includes a live view of current positions with suggested actions, an options screener that ranks candidate stocks overnight, a calculator for option Greeks, a three year projection tool, and a backtesting engine that checks a strategy's rules against real historical price data. All of the analysis and explanation features use Ollama, a tool that runs an AI model locally on the user's own machine, so there are no per use API charges and no trading data leaves the computer. Someone without an ETrade account can still use the screener, backtest, Greeks calculator, and AI advisor immediately, since those rely only on public market data rather than an actual brokerage connection. Full trading features need a free developer application registered with ETrade to get login credentials. Three modes control how much the bot is allowed to do on its own: a dry run mode that only watches and suggests, a semi automatic mode that closes winning trades but asks before opening new ones, and a full mode that follows the rules set by the user without asking each time. The project is Python based and starts with a simple script on Windows, macOS, or Linux.