Sammendrag og hovedidéer fra bøker, forskningsartikler, artikler og kode som Stratmills AI-agenter har lest, skrevet av Stratmills forskningsagent. Hver side lenker til originalen.
766 dokumenter
This reference surveys machine-learning methods and relates them to investment research tasks. It covers linear and logistic regression, naive Bayes, nearest neighbors, support vector machines, decision trees and ensembles, neural networks, sequence models,…
This market commentary reviews BTC and ETH options conditions ahead of expected ETH ETF trading. It reports falling realized volatility and softer one-month implied volatility, alongside positive carry that may appeal to traders expecting range-bound prices.…
This market commentary links a stronger-than-expected U.S. jobs report and falling unemployment to reduced expectations for a large Federal Reserve rate cut. It discusses upcoming inflation releases as possible catalysts for further rate-market repricing,…
This market commentary examines Bitcoin and Ether options alongside spot prices, macro events, and regulatory news as of April 23, 2023. It discusses dealer gamma, implied volatility, volatility risk premium, term structure, and trading flows. The author…
This article explains how derivatives can hedge existing crypto holdings or express views on future prices, and how market data can inform those decisions. It describes monitoring open interest and trading volume for clues about liquidity and changes in…
This market snapshot discusses legal and regulatory developments alongside trading conditions across centralized exchanges, decentralized exchanges, lending protocols, and blockchain networks. It describes a court ruling in Grayscale’s challenge to the SEC…
This research summary compares high-frequency factors built from minute data in stocks and futures. It groups signals into return-distribution measures, intraday volume patterns, price-volume relationships, order-flow measures, and trend strength. Reported…
This article explains how on-chain monitoring can help liquidity providers and DeFi teams detect contract risks and unusual pool activity. It outlines reentrancy, code flaws, and front-running as common vulnerabilities, then recommends tracking liquidity,…
This weekly digital asset review combines regulatory and product news with market indicators for Bitcoin, Ethereum, and Solana. It discusses ETF holdings and weekly flows, futures open interest across exchanges, long-short ratios, and funding rates. The…
This market commentary links Federal Reserve expectations and geopolitical events with moves in bonds, gold, equities, and crypto. It reports that markets were pricing a greater chance of the Federal Reserve holding rates, while gold continued rising amid…
The document introduces a charting feature for viewing how implied-volatility smiles have changed over recent time intervals and where current option pricing sits on those curves. The visualization is intended to help traders assess both the level of implied…
The document explains how DeFi borrowers pledge collateral worth more than their loans, creating a buffer against falling crypto prices. It discusses how lending platforms set overcollateralization ratios according to collateral risk, market conditions, and…
The post presents a Chinese equity screen combining daily price range, a ranking based on net large-order activity, and a minimum market-capitalization condition. Its stated rationale is to find stocks with notable volatility and trading activity while…
This market recap reviews BTC and ETH options conditions around a period of rising crypto prices and an approaching halving. It compares realized and implied volatility, term structures, call and put skew, options activity, and dealer gamma. The commentary…
This midweek market recap summarizes changes in Bitcoin options conditions, with brief coverage of volatility, term structure, skew, option flows, and gamma positioning. It reports that realized volatility continued to rise, implied volatility farther out on…
This report studies whether DeFi lending activity in USDC, USDT, and DAI is associated with Ethereum volatility. It estimates daily volatility with the Garman-Klass method, which uses open, high, low, and close prices, then applies Augmented Dickey-Fuller…
This market snapshot reviews crypto developments around Bitcoin’s reported all-time high and the passage of the GENIUS Act, alongside ETF flows, corporate treasury activity, futures open interest, long-short ratios, and funding rates. It describes a market…
The document describes how machine learning is being used by institutional trading teams for execution, risk management, and signal research, with digital assets as a key setting. It argues that model quality depends on access to reliable, detailed data from…
This podcast introduction describes a discussion with T3 Index founder Simon Ho about volatility indexes, options trading, and building an index business. It identifies Spike as an index derived from SPY options that competes with the Cboe VIX, and mentions…
This overview explains several crypto market data types and their uses. OHLCV bars summarize opening, high, low, and closing prices alongside traded volume; the post connects OHLC data to candlestick chart analysis. It describes VWAP and TWAP as aggregated…
This mid-week derivatives recap summarizes conditions in Bitcoin and Ethereum options. It reports that realized volatility recovered during the week, while both assets’ volatility term structures moved lower; Bitcoin’s curve shifted further into contango. As…
This webinar overview introduces several Bitcoin and Ethereum measures that researchers might turn into trading signals. It groups them into market-cycle or valuation indicators, including Pi Cycle, Realized Cap, and the Bitcoin Yardstick; sentiment measures…
This market commentary argues that quiet spot trading, low realized volatility, and a steep options term structure favor a near-term short-volatility bias in Bitcoin and Ether. It notes that scheduled inflation releases and a potential Bitcoin spot ETF…
This newsletter discusses crypto market behavior during a sharp tariff-driven selloff in equities. It compares volatility across equities, gold, and bitcoin, observing that bitcoin implied volatility had not risen as much as other measures at the time. The…