VIDEO SERIES

Main topics covered:

• Buying an Apple option from Robinhood  
• Market-making, liquidity, the bid and the ask
• Little risk, high trading volume
• Option vs stock (linearity of payout)
• The true value of an option, trading on volatility
• What’s a call?
• Skewed market, TSLA calls example
• Flow and liquidity 
• Gains for the market and the market-maker

Main topics covered:

• Structure, options vs equities desks
• Every market needs traders
• Trader’s thought process - hedge fund buying options ex.
• Semi-systematic trader
• Fully systematic desks
• Safeties and controls - systematic desk
• Trader at market-maker vs hedge fund trader
• Structure at a market-maker (vs pod at a hedge fund)
• Decision-making: limit human bias
• One person trades all company’s options
• Does it help to know company fundamentals as a trader? 
• Research/fundamental analysts reporting to traders
• Do analysts at trading firms trade capital?
• Capital at prop trading firms vs hedge funds
• Game theory in trading example
• Quant researcher 
• Quant researchers / traders / software engineers

Main topics covered:

• Skills required for trading and why
• Bayesian probabilities are critical
• Computer science and trading engines
• Python (data analysis) used by traders
• You are expected to have good coding skills
• Don’t need graduate level statistics 
• Interview insights
• You do not need finance background
• Interview prep, types of questions
• The quantitative skills are a box to check
• Behavioral questions?
• How to find opportunities early in college
• You can learning coding through projects
• Email smaller funds and work for one
• Elias’ background, quant / econ courses
• Do you need to know Machine Learning?
• Biggest learnings from college 
• How to focus effectively
• How to stay calm under pressure