51:12

In this episode of the Coffee with Q podcast, host Qamar "Q" Zaman is interviewed by his nephew Mo, a seasoned ES/NQ futures trader. Q shares the origin story of his nickname, his transition from a digital‑marketing/software entrepreneur in the Cayman Islands to a self‑taught trader, and the mentorship he received from a mysterious coach “G”. Frustrated by the emotional and opaque nature of traditional trading education, Q built an algorithmic trading system (QALGO) that runs on TradingView and leverages AI to remove human emotion. He walks through the visual language of the platform – flight‑path colors (green, black, red), blue and yellow “gift” boxes, red/green cloud support‑resistance zones, a momentum‑gear meter (M1‑M5), VWAP lines, V‑path validation, liquidity‑shift (LS) alerts, and other proprietary markers. Q demonstrates live trade entries and exits on SPX options, citing exact timestamps (e.g., 9:35 am call entry, 9:36:31 exit, $2 premium) and explains the rationale behind each trade using the algorithm’s signals. The conversation also covers the broader Coffee with Q brand: a community‑driven news engine, interview series, and a “Netflix‑of‑trading” subscription model that teaches users to follow the software without learning traditional charting. Personal anecdotes (grandma’s gummy‑bear boxes, the “Quartermaster” inspiration) illustrate Q’s motivation to make trading accessible even to non‑technical users. The episode ends with plans for regular future demos and a call for community participation.

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