I’m handing you a complete Python 3 back-end for a trading bot and a fully laid-out PyQt6 interface. Alongside the code you will receive an ASCII architecture diagram (classes, data flow) and a detailed error log, so the task is focused on making every GUI element talk to the logic cleanly. Current pain points • Buttons aren’t firing their underlying functions • Data panels show stale or blank values • Live-update thread throws intermittent errors and the window becomes unresponsive Your job is to wire the two layers together, clear the error log, and prove everything works with my live premium data feed—no web-scraping or extra libraries; the stack must stay dependency-free beyond what’s already in place. Deliverables for acceptance 1. All existing buttons trigger the correct back-end methods without lag. 2. Real-time price and position data render in the designated widgets with no display glitches. 3. Live-update loop runs for at least one hour without raising uncaught exceptions or freezing the UI. 4. Final demo executes a live trade end-to-end through the GUI. 5 results to show through gui 6 both modes should work for opening range breakout and long term strategy . should have a bility to mix and match filters ensure filter gates provide maximum flexibility 7 also float turnover should be flexible float turnover can exceed 100 percent Workflow & milestones I’ll fund an initial milestone to cover the first integration pass and stability tests. The balance is released once the platform executes a live trade in front of me. Expect a full code audit on my side, so keep commits clean and self-contained. If tight, dependency-free PyQt6 coding and trading-bot logic are your comfort zone, let’s get this wired up.