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Can AI trading bots learn from their mistakes? In this 2:30 FinTech Bot Focused episode we explore feedback mechanisms, adaptive algorithms, and real-world case studies from Cryptohopper, 3Commas and TradeSanta. Learn how bots use indicators like MACD, RSI and Bollinger Bands to adapt, why they still struggle with black swan events (e.g., 2022 crypto crash), and practical tips for monitoring, backtesting and optimizing automated trading strategies. Follow our video settings: ALL CAPS subtitles with spoken-word highlights, stock media only, 16:9 format. Join the FinTech Bot Focused newsletter (link below) for updates, strategy breakdowns and early tool previews. If you found this useful, please like and share! #AITrading #CryptoTrading #AutomatedTrading
OUTLINE:
00:00:00
Opening Hook
00:00:18
Feedback Mechanisms
00:00:49
Case Studies
00:01:15
Limitations
00:01:46
Practical Implications
00:02:15
Newsletter CTA
00:02:34
Disclaimer and Outro
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Welcome to Fintech (bot) Focused! This channel is dedicated to exploring the cutting edge of automated trading. Whether you’re interested in AI-driven strategies, trading bots 🤖, or fintech innovations, we’ve got you covered.
Here, we discuss, dissect, and implement all things automated trading—forex, stocks, options, crypto, and beyond. If you're passionate about leveraging technology to enhance your trading, you're in the right place.
Join the conversation as we test, review, and analyze trading software, Expert Advisors, and algorithmic strategies. We’re all about learning, sharing experiences, and finding what truly works in the world of automated trading.
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Disclaimer:
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