What really separates profitable trading systems from failed trading bots?
In this episode of we sit down with Alvin Karumba software engineer, trader, and co-founder of Crib Ventures to unpack the reality behind automated trading, market inefficiencies, commodities, and emotional discipline in the financial markets.
Alvin shares how he transitioned from manual trading into building rule-based automated systems designed to eliminate emotional decision-making. He also opens up about losing over $10,000 in an investor-funded trading setup, the lessons that came from it, and why backtesting and structure matter more than hype.
For educational purposes only. Not financial advice.
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Episode Chapters
00:00 Intro
00:52 Meet Alvin Karumba
02:11 How Alvin Got Into Trading
04:08 The Appeal Of Market Inefficiencies
05:47 Why He Prefers Trading Gold
07:34 Understanding Fair Value Gaps (FVGs)
09:18 Using Higher Time Frames For Bias
11:06 Combining Fundamentals With Technicals
13:02 Looking At Markets Through Macro Economics
14:55 Why Most Retail Traders Lose Money
16:41 Emotional Trading And Discipline
18:24 The $10,000 Investor Loss Story
21:07 Lessons From Managing Investor Capital
22:54 Why They Paused And Rebuilt
24:36 Building Automated Trading Systems
27:18 What Makes A Trading Bot Work
29:44 Why Most Bots Fail Long-Term
31:30 The Importance Of Backtesting
33:16 How Their Bots Manage Risk
34:48 Why The System Takes Few Trades
36:15 The Truth About Trading Signals
37:52 AI Integration In Trading Systems
39:28 Why Beginners Should Avoid Blindly Using Bots
41:02 MT4, MT5 Or TradingView?
42:10 Does Broker Choice Matter?
43:18 Trading Psychology And Consistency
44:26 Advice To Upcoming Traders
45:22 Final Thoughts