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 project describes a directional index options strategy that uses NIFTY daily candles and 15-day simple moving averages of highs and lows to generate long call or put signals. Entry rules combine the current candle’s position relative to the averages…
The document introduces the Heston model as an option-pricing framework that allows both the underlying asset price and its variance to evolve stochastically. Unlike constant-volatility Black–Scholes, it models variance as mean reverting, with random…
The article examines market effects associated with the early COVID-19 outbreak and the Russia–Saudi Arabia oil price dispute. It describes calculating average forward returns after historical drawdowns: compute cumulative returns and running peaks, identify…
This article introduces exotic options as contracts whose payoff, exercise conditions, or underlying can differ from standard calls and puts. It describes barrier options, which activate or expire when a price threshold is reached; binary options, which pay…
This overview explains index options as contracts whose value depends on a market index, and describes how they can be used to speculate on index moves or hedge exposure. It distinguishes index options from options on individual stocks and surveys broad…
The article describes three sentiment measures and proposes contrarian trades based on them. VIX is presented as an options-derived estimate of expected S&P 500 volatility; high readings are associated with fear and falling prices, while low readings are…
This article explains why index volatility depends on both the volatility of constituent stocks and the correlation among them. When stocks move more independently, their individual volatility can rise without a comparable increase in index volatility; when…
This document explains how the IBrokers R package connects a strategy to Interactive Brokers through Trader Workstation (TWS). It outlines functions for requesting contract details, live quotes, market depth, real-time bars, and historical data, along with…
This interview traces Vijayakumar’s progression from early stock investments and repeated losses to options trading and work on algorithmic strategies. He describes learning through books and practice, then studying derivatives, Python, and quantitative…
This interview describes how an index-options trader developed a more systematic process, moving from market observation and paper trading toward strategy design, testing, and live execution. The trader emphasizes defining acceptable losses, quantifying…
This project tests an options dispersion strategy that compares BANKNIFTY implied volatility with the weight-adjusted implied volatility of its constituent stocks. The author estimates average implied volatility from first out-of-the-money calls and puts,…
The document explains the Black–Scholes model for pricing European call options. It introduces the main inputs—underlying price, strike, time to expiry, risk-free rate, and volatility—and describes how the formula combines the discounted strike with the…
This interview traces a trader’s progression from executing commodity orders to coding trading systems and researching algorithmic strategies. The subject describes developing trend detection and momentum systems with position sizing, then building a…
This guide describes a trend-following method that calculates short- and long-window moving averages on the Nifty index, then uses their crossovers to signal long call option trades. It outlines a Python workflow: obtain index and option data, combine the…
The document explains a long call butterfly, a defined-risk options position intended for conditions where little movement is expected in the underlying. It combines a long lower-strike call, two short calls at the middle strike, and a long higher-strike…
The document introduces covered calls as a way to earn option premium while holding shares, explaining that the seller keeps the premium if the stock stays below the strike but may have to sell shares at the strike if the price rises. It then outlines a…
The document explains options open interest as the count of outstanding contracts for a given strike and expiration, distinguishing it from volume, which counts trading activity over a period. It presents rising, falling, and stable open interest as clues…
This interview follows Sanjot Raibagkar’s move from software engineering into algorithmic trading. He describes a decade of trading, work on financial technology projects, and a focus on Nifty and Bank Nifty options. His technical and data science background…
This project describes dispersion trading as a relative value strategy that trades options on an index against options on its component stocks. It estimates implied volatility from nearby option strikes using Black–Scholes, combines component volatilities,…
The document explains vertical bear spreads for traders expecting a moderate decline. It compares a bear call credit spread, which collects a premium up front, with a bear put debit spread, which pays a net premium. Both use options with the same expiration…
The document outlines a session on managing option portfolios that span multiple instruments. Its stated focus is on Delta and Gamma, including how market characteristics affect their behavior, and on making several higher-order Greeks easier to understand:…
This interview follows Derek’s path from futures trading and professional card games into quantitative trading and the creation of Golden Compass with collaborator Maxime. Their partnership developed through continued remote research, a shared derivatives…
This interview describes how options trader Vishnu Bharath moved from an engineering and telecommunications background into quantitative trading by combining market familiarity with programming skills. His initial interest in markets came through discussions…
This project describes a dispersion strategy using Bank Nifty options and options on its constituent bank stocks. It compares implied volatility across the index and its components, using implied correlation as a signal: high correlation points toward…