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.
1,414 documents
This article recounts the 2022 nickel market crisis involving Tsingshan, Glencore, and the London Metal Exchange. It uses a simplified commodity-delivery analogy to explain how a seller with a large short futures position may face stress when prices surge…
This document describes an Expert Advisor that trades when the XROC2_VG oscillator changes color at a bar close, corresponding to a crossover between its main line and signal line. The inputs allow users to set a daily start and end time for trading. With…
This automated Brent oil CFD strategy uses five minute bars and permits only one accumulated position. For long entries, a short time series average must be at least as high as a longer Wilder average, while the SMI crosses above a negative threshold. For…
Gerber statistics offer a threshold-based way to estimate dependence between asset returns. Each return is classified by whether it rises or falls beyond an asset-specific threshold; paired observations count as concordant when both move substantially in the…
The document describes an Expert Advisor that uses the TrendMagic indicator and makes a trade decision when the indicator changes direction. It notes that the indicator file must be available in the platform’s indicators folder for the EA to operate. It also…
The document describes a visual indicator that transforms Commodity Channel Index calculations into a sequence of candlesticks. Rather than plotting the CCI as a conventional line, it processes the relevant price time series with the CCI algorithm and…
The document explains why a simple moving average of intraday volume can give misleading comparisons. Volume patterns vary across times of day, particularly across regional sessions, and can also differ by weekday. Comparing a bar with an average that mixes…
This strategy ranks a universe of commodity futures by the skewness of their daily returns over a trailing 12-month window. At each monthly rebalance, it goes long the quintile with the lowest skewness and short the quintile with the highest, with equal…
This Chinese A-share research summary examines airline stocks against the CSI 300 and proposes a fundamental timing and stock-selection model. It characterizes the sector as high beta and reports that relative performance has tended to vary by quarter, with…
The document outlines Two Sigma’s systematic investment approach and briefly describes its China macro strategy, which invests across Chinese commodity and financial futures. It presents a process built around research, portfolio construction, and risk…
This study explores genetic programming as a way to discover formula-based signals for commodity futures trading. It adapts a genetic programming package to search combinations of market data and operators, aiming to find signals that could complement…
This profile follows a quantitative trader’s shift from intraday models toward medium-frequency futures strategies grounded in industry knowledge. He argues that statistical relationships alone can be fragile: attractive historical fits may reflect…
The document considers how an industrial electricity buyer might manage purchase-price variability using spot and futures markets. The problem includes electricity’s limited storability and resulting spot-price spikes, futures with monthly, quarterly, or…
The document gathers rules for gold futures dates that traders may need to calculate without consulting a calendar. One answer describes the last trading day as the third business day before month end, while another quotes listing months from exchange…
The document explains how to derive past expiration dates for WTI options when a historical calendar is unavailable. It starts from the underlying futures contract: its final trading day falls three business days before the 25th calendar day of the month…
The document explains why financing enters a physical commodity forward price. Holding the commodity until delivery ties up capital, so the cost of financing the spot purchase contributes to the forward price, alongside storage and insurance costs. The…
The document examines how to derive a pricing equation for an option when the underlying asset follows a mean-reverting process in log price. It contrasts a delta-hedging argument with a risk-neutral valuation argument and discusses when the model’s physical…
For goods that have not yet been produced, futures pricing may depend on expected future supply and demand as well as carrying costs. The simple spot-plus-carry relationship applies most directly when the commodity can be stored and delivered, and does not…
The document asks for examples of using large or unconventional datasets to build trading strategies across stocks, bonds, and foreign exchange. Its only concrete example is the use of location data by investment managers. The cited news story describes…
This discussion compares estimating a hedge ratio by regressing spot and futures returns with regressing their price levels. The question reports much lower fit and a smaller hedge ratio from returns, while levels appear to track closely. The answer cautions…
The document asks how to set market capitalization weights for a Black–Litterman portfolio holding international and emerging-market equities, gold, long-term Treasury bonds, and real estate. Its central advice is not to use the market values of the ETFs…
The document explains why an option on a spread of two futures cannot generally be replicated statically using options on the individual futures. It uses a gasoline crack spread option as an example of this contract type. The proposed approach is to price…
The document addresses a common time-series modeling problem: gold prices appear autocorrelated, and repeated differencing seems not to remove the effect. The responses suggest that the issue may be the choice of series. Price levels are persistent and…
The document presents a question about Monte Carlo paths generated for the Heston stochastic volatility model using a full-truncation Euler scheme. It gives discrete-time equations for variance and asset price, along with a set of silver-market parameters…