LedgerX on the Reasons to Trade Bitcoin Options - Ep.130
Juthica Chou, chief operating officer of LedgerX, talks about the company's new license to offer its derivatives to retail investors and the resulting platform, Omni. She walks through what call and put options are, how they work and why people and companies purchase them as opposed to just buying or selling bitcoin directly. We discuss why LedgerX believes physically settled bitcoin options are superior to cash-settled ones, how LedgerX handles hard forks, and other contracts focused on the technicals of crypto networks it could offer such as its halving contract. Plus, she describes what it was like to be building a Bitcoin-centered company during the "blockchain not Bitcoin" era.
Sign up for the Virtues of the Crypto Revolution retreat with me, Meltem Demirors of CoinShares and Jalak Jobanputra of Future Perfect Ventures at Omega Institute!!
Thank you to our sponsors!
Crypto.com: https://www.crypto.com/
Kraken: https://www.kraken.com
CipherTrace: http://ciphertrace.com/unchained
Episode links:
LedgerX: https://www.ledgerx.com
Juthica Chou: https://twitter.com/juthica
LedgerX blog posts introducing Omni: https://blog.ledgerx.com/the-long-game/
https://blog.ledgerx.com/introducing-omni-powered-by-ledgerx/
https://www.coindesk.com/cftc-approves-ledgerx-to-settle-futures-in-real-bitcoin
https://www.coindesk.com/ledgerx-reveals-bid-to-beat-bakkt-to-physical-bitcoin-futures-launch
CNBC interview with Ari Paul about why he bought $50,000 Bitcoin call option: https://www.cnbc.com/video/2017/12/26/man-behind-massive-bet-that-bitcoin-could-hit-50000.html
Cheddar interview: more opportunity with the retail market:
https://cheddar.com/media/ledgerx-wins-u-s-regulatory-approval-to-trade-bitcoin-futures
Bitcoin halving contract: https://blog.ledgerx.com/a-new-type-of-contract-for-a-new-type-of-asset/
https://www.coindesk.com/ledgerx-unveils-betting-market-for-2020s-bitcoin-block-reward-halving
Ledger on how to it would handle the Bitcoin Gold hard fork: https://www.ledgerx.com/s/LedgerX-LLC-Notice-to-Participants-2017-10.pdf
Call option for $100k Bitcoin by December 2020: https://www.bloomberg.com/news/articles/2019-07-16/anybody-can-now-bet-on-bitcoin-100-000-with-new-call-options
Unchained interview with Dan Morehead of Pantera Capital: https://unchainedpodcast.com/pantera-capital-how-bitcoin-could-reach-356000-in-a-few-years/
Cboe stops listing Bitcoin fuures:
https://www.coindesk.com/cboe-puts-brakes-on-bitcoin-futures-listing
https://www.wsj.com/articles/cboe-abandons-bitcoin-futures-11552914001
Why CME’s futures saw more volume than Cboe’s: https://www.coindesk.com/cme-cboe-bitcoin-futures
How Bitcoin futures will be taxed: https://blog.ledgerx.com/less-taxation-with-digitization/
Doomschain clock/attitude toward private blockchains: https://blog.ledgerx.com/updating-the-doomschain-clock/
Oracle blog post: https://blog.ledgerx.com/how-to-talk-to-the-oracle/
Learn more about your ad choices. Visit megaphone.fm/adchoices
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated inventory of concrete resources named in the episode.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.