AI dives deep into logs, pinpointing why this trading bot couldn't sell options. Root causes revealed through advanced analysis. Not financial advice. Results may be simulated. #TradingBot #AIFailure #OptionsTrading #LogAnalysis

An AI trading bot struggles to sell options due to a missing exit condition. Rob and the presenter analyze the code, revealing the root cause of the bot's failure. Not financial advice. Results may be simulated. #AITrading #TradingBot #OptionsTrading #AIAnalysis

An AI trading bot struggles to sell options due to a missing exit condition. Rob and the presenter analyze the code, revealing the root cause of the bot's failure. Not financial advice. Results may be simulated. #AITrading #TradingBot #OptionsTrading #AIAnalysis

Rob Grzesik outlines BotSpot's session, reviewing bot performance and AI trading strategies. See how the tech is shaping the trading landscape. Not financial advice. Results may be simulated. #AITrading #BotPerformance #TradingStrategy #BotSpot

Rob Grzesik outlines BotSpot's session, reviewing bot performance and AI trading strategies. See how the tech is shaping the trading landscape. Not financial advice. Results may be simulated. #AITrading #BotPerformance #TradingStrategy #BotSpot

See how AI dissects logs to reveal problems with illiquid options and invalid symbols. It uncovers root causes and flags potential trading strategy bugs. Not financial advice. Results may be simulated. #ArtificialIntelligence #TradingStrategy #AlgorithmicTrading #FinancialAnalysis

Y2 just shipped RLM-inspired intelligence: 📡 News Terminal: 15 AI feeds + intelligence recaps (real-time signals) 🔍 Recursive Research: Root agent → specialist agents → verification layer Not single-pass RAG. True multi-agent decomposition with parallel coverage + persistent knowledge. Build verified Information Profiles → y2.dev

I’m pleased with the significant improvement in the output quality of information profiles on y2.dev This development was inspired by a research paper from Stanford, and I strongly recommend exploring recursive language model design for agentic use cases that prioritize quality. Read the research here: https://lnkd.in/g-cRJtmk

“What if AI-controlled trading bots suddenly took over 90% of all trades?” When AI runs the markets — do humans still stand a chance? Picture this: 90% of trades executed by bots faster than you can blink. The charts move like code, not emotion. Would traders evolve — or get left behind? 👉 Tell us — do you trust algorithms with your portfolio? #WorldQuestFX #AIFinance #Forextrading #ModernMarkets

The best systems aren’t built to work. "They’re built to fail gracefully." I learned that while building a trading engine from scratch. Milliseconds me chize badal jati hai... I realised perfection is a myth. Recovery is the real skill! Few untaught lessons that stuck with me since then: • Quality of your feedback loop >> Latency tolerance • Resilience > fragility : Fault isolation beats fault prevention • Predictability ≠ control; it’s about how well a system learns to adapt. Those same principles now guide how we design AI systems at Dassh.