Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.
8,116 documents
This lecture description introduces advanced options portfolio management through the use of first-, second-, and third-order Greeks. It notes that risk can be managed by examining how portfolio exposures respond to underlying factors, including how…
The article explains why implied volatility can vary across option strike prices instead of remaining flat as in the Black-Scholes-Merton model. It attributes the smile partly to real asset returns having more extreme moves than a lognormal model predicts,…
The article describes a bull call spread, formed by buying a call and selling another call on the same underlying with the same expiration but a higher strike. The net premium paid is the maximum loss, while the difference between strikes less that premium…
The document explains how to use a spreadsheet model to price calls and puts with the Black–Scholes formulas and chart the payoff of a portfolio across underlying prices. Users enter each option’s expiry, type, strike, premium, contract count, volatility,…
This year-in-review lists educational and industry events related to quantitative trading. The most substantive strategy topics include momentum linked to autocorrelation and market inefficiencies, with sessions described as covering backtesting and…
This overview explains why intraday options trading differs from trading the underlying asset: premiums respond to price, implied volatility, and time decay, while liquidity varies across strikes and expirations. It introduces delta, gamma, implied…
This profile describes Mahesh Sangade’s path from banking and discretionary trading to full-time algorithmic trading. After years of testing strategies with small amounts of capital, he studied systematic trading, coding, statistics, and trade management. He…
The article explains Itô’s lemma as the stochastic counterpart to the ordinary chain rule and applies it to a stock price modeled by geometric Brownian motion. It derives the dynamics of log price, showing how the drift is adjusted by half the variance, and…
This overview explains how different crises can affect markets and industries in different ways. It distinguishes natural disasters, technological failures, rumors, and man-made events, and reviews historical episodes in which markets fell sharply before…
This article explains a long butterfly spread as a defined-risk options position for an underlying expected to remain near a target price at expiration. The call version combines one lower-strike long call, two short calls at a middle strike, and one…
This compiled overview summarizes webinars on machine learning, factor investing, algorithmic day trading, language models, options, volatility, medium-frequency trading, and alternative data. It outlines topics rather than teaching one complete strategy, so…
This project describes a dispersion strategy on Bank Nifty index options and constituent bank stock options. It takes relative volatility positions using combinations of straddles or strangles: when implied correlation is high, the example suggests selling…
The document introduces Backtrader, an event-driven Python framework for strategy backtesting, visualization and connections to selected live brokers. It explains the role of the Cerebro engine, data feeds and the strategy class, including how initialization…
The article explains how to create an indicator-based binary options strategy that communicates with a dedicated utility to simulate trades in MetaTrader 4’s Strategy Tester. Its example uses a fast and slow moving average crossover, with configurable…
This article describes risk controls and volatility estimation for emulated option strategies. For long option structures, it adds an early exit when the underlying reaches a selected rebalancing level; the trader can choose the level and stop trading for…
The article explains how an option chain can reveal the market-implied distribution of an underlying’s price at expiry. It uses the Breeden-Litzenberger result: the second strike derivative of call prices, adjusted for discounting, gives a risk-neutral…
The article explains how to convert foreign-exchange option quotes from the market’s delta-based format into strikes and a volatility smile. It describes the at-the-money volatility, risk reversal, and butterfly quotes used to define smile pillars, with…
The document explains Delta as an option’s sensitivity to the underlying price and Gamma as the rate at which Delta changes. It contrasts long options, which have positive Gamma, with short options, which have negative Gamma, and describes why Gamma is…
This article describes an expert advisor that emulates single-option positions by mapping option-like levels to orders in the underlying asset and continually rebalancing the position. It introduces a base class for option constructions, stores component…
The article explains how to model High/Low binary options in MetaTrader 5, record simulated wins and losses, and compare strategy settings through optimization and forward testing. It describes handling a stake and payout, tracking the opening time until…
The newsletter uses Bitcoin’s options market as a benchmark for judging whether Ether volatility is expensive. It considers macroeconomic conditions, Bitcoin’s recent trading range, realized volatility, and the probability of reaching a higher year-end…
This weekly market commentary reviews Bitcoin and Ether derivatives through realized and implied volatility, volatility term structure, skew, and relative value. It reports realized volatility in the 40s while implied volatility declined toward it, reducing…
This analysis studies Bitcoin options from April 2019 through December 2022, describing how volatility pricing changed across quiet markets, rallies, sharp selloffs, and the 2022 bear market. It examines the at-the-money implied volatility term structure,…
This document explains a data model for reference indexes such as equity benchmarks and volatility indexes. An index instrument stores identifiers, its native symbol, quote currency, price and size precision, valid increments, timestamps, and optional…