π₯ Discover how an 18-year-old coder turned $500 into $10,000, landed at Deutsche Bank, and now runs 100 live algorithms shadowed by 1,000 demo accounts. Starting with simple breakout patterns and 1% risk management, Nicola Delic scaled his trading from retail to institutional, before building his own automated trading empire. Through thousands of trades and multiple market cycles, he's mastered the balance between human discretion and machine precision, achieving consistent returns with a systematic 30-40% win rate.
Learn how he:
- Tests 100 live algos against 1,000 demo accounts simultaneously
- Scales into positions while maintaining 1% max risk per trade
- Merges pattern breakouts with Fibonacci entry/exit levels
- Balances automated and manual trading with 50/50 capital split
- Runs multiple systems to maintain 30-40% win rate consistency
Timestamps:
00:00 β Intro
03:03 β From Retail to Institutional Trading
05:57 β Transition to Deutsche Bank
08:47 β Learning from Experience
12:06 β Impact of Automation and AI in Trading
15:04 β Understanding Market Behavior and Trends
17:51 β Role of Fundamentals in Trading
21:06 β Navigating Volatility and Market Conditions
24:01 β Future of Trading: Automation vs. Human Insight
36:28 β Optimizing Trading Strategies for Tomorrow
39:51 β Perfect Algorithm Characteristics
41:45 β Risk-Reward Ratios
44:33 β Managing Losses and Expectations
48:54 β Balancing Manual and Automated Trading
55:55 β Future of Trading with AI
01:09:48 β Teaching and Mentoring in Trading
This conversation offers a rare glimpse into how technology, discipline, and experience converge to create a sustainable trading edge in today's markets.
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