Bitcoin Valuation: Methods and Frameworks

Explore unspent transaction outputs (utxo), utxo bands, and hodl waves to measure bitcoin's age, holding patterns, and market confidence using public blockchain data.

Explore utxo analysis of one-year-or-younger bitcoins to gauge holding versus selling, using stratified age-band data against price to reveal trends and potential market directions.

Explore how Bitcoin wallets function as software or hardware accounts, differentiate wallets from addresses, and use active addresses and wallet openings to gauge adoption and economic activity.

Analyze how bitcoin wallets resemble bank accounts, track wallet openings with blockchain.com, and monitor active addresses on bitinfocharts.com to correlate wallet growth with Bitcoin price month to month.

Explore how bitcoin ATMs work, their role in cash-to-bitcoin and bitcoin-to-cash remittances, and how installation growth serves as a practical indicator of bitcoin adoption.

Analyze bitcoin atm installations from coinATMradar.com and their relationship to price, noting not a perfect correlation. Track month-to-month trends to assess whether installation growth aligns with price or signals overheating.

Merchants adopt Bitcoin for lower fees and no chargebacks, and this lecture explains how to measure adoption and considers volatility and block times.

Track merchant adoption of Bitcoin using coinmap.org to map geographic distribution and monthly counts, compare with Bitcoin price, and observe a positive correlation to refine valuation analysis.

Explore hashrates as the security backbone of the Bitcoin network and learn how to measure and track them, including the mining death spiral risk and difficulty adjustments.

Analyze bitcoin hashrate trends using blockchain.com data, compare to price, and observe a positive correlation; track month-to-month changes to gauge network security through computational power.

Explore how miner distribution strengthens bitcoin network security by promoting decentralization, reducing 51% attack risk, and measuring distribution with visual breakdowns and the Herfindahl-Hirschman Index.

Apply the HHI index to measure Bitcoin miner concentration using btc.com hash rate shares, compare April and March, and track month-to-month changes to monitor concentration.

Analyze bitcoin’s social sentiment to gauge market confidence and value by tracking data sources like Google, Twitter, Reddit, and more, and use sentiment measures as indicators of price action.

Explore how social sentiment analysis tracks Bitcoin interest using Google Trends and Twitter data, reveals a linear relationship with price, and guides tracking tweets per day via simple methods.

Apply the nvt ratio, derived from the pe ratio concept, by comparing Bitcoin's market cap to daily transaction volume to gauge network value.

Analyze the NVT ratio using blockchain data, pairing bitcoins in circulation with daily transactions on a rolling monthly basis, and compare it to Willy Woo's ratio to track trends.

Conclude the Bitcoin valuation course by reviewing topics and Bitcoin's value drivers. Ask questions on the Udemy platform and join the Invictus Capital Telegram and Discord groups at www.invictuscapital.com.