🚀 JONESGPT UPDATE — WHAT WE’VE BEEN BUILDING (AND WHY WE’VE BEEN QUIET)
🚀 JONESGPT UPDATE — WHAT WE’VE BEEN BUILDING (AND WHY WE’VE BEEN QUIET) From Adrian Sosebee — LeBlancProductions.org If you’ve been wondering what’s been going on behind the scenes the last few weeks… this is it 👇 We’ve been deep in development on something that’s going to change how we approach trading inside this group: 🧠 JONESGPT — The Gary LeBlanc School of Personal Finance AI System This is not just another chatbot.This is a trained trading assistant built directly from Gary’s real strategy, real trades, and real-time decision making. 📊 WHAT WE’VE BEEN DOING We’ve been feeding JonesGPT: - 📸 Live portfolio screenshots (Gary + ACE Fund) - 📈 Real trades (covered calls, puts, ladders, BTC/rolls) - 🧠 Gary’s thinking in real time - ⚙️ Execution patterns (what works vs what doesn’t) We’ve documented things like: - Selling premium during volatility spikes - Buying to close early at 25%–75% of premium - Using covered calls as intentional sell/trim strategies - Managing risk across positions like FSLY, ISSC, ORLA, TLYS, VG - Building and cleaning option ladders vs overstacking risk 🔥 BIG UPGRADE — BLACK-SCHOLES LAYER We just integrated a major piece: 👉 Black-Scholes pricing logic This means JonesGPT will now: - Compare market option price vs theoretical value - Identify when premium is:🔥 OVERPRICED → sell opportunity❄️ UNDERPRICED → avoid or consider buy 👉 This turns Gary’s strategy from:“experience-based” into: 👉 quant-backed decision making 🧠 WHAT JONESGPT WILL DO When it’s ready, JonesGPT will be able to: - Analyze your portfolio like a market maker - Grade your trades in real time - Suggest:covered callscash-secured putsroll strategiesbuy-to-close timing - Help you avoid:overstacked positionsunnecessary riskbad premium entries We’re also building:👉 a “theta scoreboard” concept👉 a clean ladder system vs messy ladder detection👉 and a full daily trading checklist system 📂 WHAT IT’S BUILT ON This system is trained on actual data: