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How to Ride the Bitcoin Halving Wave using Investing Techniques Everyone Should Know, with Edward Mehrez @ Arrow Markets
Edward Mehrez
Co-founder, Arrow Markets | Blockchain & Derivatives Expert
Edward is a co-founder of Arrow Markets, pioneering a new paradigm for options trading on the Avalanche blockchain. Arrow offers the efficiency of centralized exchanges with the transparency and security of on-chain settlements.
Prior to Arrow, Edward was a PhD candidate in Economics at Cornell University where he engaged in research at the intersection of financial economics, AI, and blockchain. He honed his expertise in quantitative finance as a consultant in the Global Macro space .
Edward's research interests lie in the dynamic interplay between market forces and financial instruments. His areas of research include:
Utilizing reinforcement learning in options market making in the presence of market frictions
Data-driven modeling of dynamical systems and control
Mathematical modeling of asset pricing bubbles
Modeling the impact of insider trading on asset prices and liquidity
Utilizing asset and derivative pricing to extract insights on market risk measures and premiums
A strong advocate for data-driven decision making, Edward champions a flexible approach to modeling that prioritizes economic intuition. He believes that continuous adaptation and improvement are crucial for models to remain relevant in ever-evolving market landscapes.
Avalanche - https://www.youtube.com/watch?v=atIZu0o50Mg
Dexalot - https://www.youtube.com/watch?v=D4vT4EFcBe4
Avalanche - https://www.youtube.com/watch?v=UJ5sBgaMtOg, https://www.youtube.com/watch?v=F6rPzbbPx0w
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By Jamil HasanEdward Mehrez
Co-founder, Arrow Markets | Blockchain & Derivatives Expert
Edward is a co-founder of Arrow Markets, pioneering a new paradigm for options trading on the Avalanche blockchain. Arrow offers the efficiency of centralized exchanges with the transparency and security of on-chain settlements.
Prior to Arrow, Edward was a PhD candidate in Economics at Cornell University where he engaged in research at the intersection of financial economics, AI, and blockchain. He honed his expertise in quantitative finance as a consultant in the Global Macro space .
Edward's research interests lie in the dynamic interplay between market forces and financial instruments. His areas of research include:
Utilizing reinforcement learning in options market making in the presence of market frictions
Data-driven modeling of dynamical systems and control
Mathematical modeling of asset pricing bubbles
Modeling the impact of insider trading on asset prices and liquidity
Utilizing asset and derivative pricing to extract insights on market risk measures and premiums
A strong advocate for data-driven decision making, Edward champions a flexible approach to modeling that prioritizes economic intuition. He believes that continuous adaptation and improvement are crucial for models to remain relevant in ever-evolving market landscapes.
Avalanche - https://www.youtube.com/watch?v=atIZu0o50Mg
Dexalot - https://www.youtube.com/watch?v=D4vT4EFcBe4
Avalanche - https://www.youtube.com/watch?v=UJ5sBgaMtOg, https://www.youtube.com/watch?v=F6rPzbbPx0w