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.
29,558 documents
This summary describes an analysis of actively managed equity funds and funds with substantial equity exposure. Its stated selection process combines historical return data with portfolio holdings, sector exposure, and risk considerations to identify funds…
This example presents a monthly Chinese equity strategy using constituents of the CSI 300 as its starting universe. It excludes suspended and specially treated stocks, then calculates several cumulative return measures over different lookback windows. For…
This stock screen combines a metaverse industry classification with a price condition, a robotics concept flag, and a circulating market capitalization limit. The price condition requires the stock’s average price to be above its five-day moving average. The…
This implementation explains how a bivariate Gaussian copula represents dependence between two variables after their observations have been converted to uniform pseudo-observations. It estimates the dependence parameter by mapping those observations through…
This note describes a trailing stop indicator that sets long and short thresholds as a percentage of each bar’s high and low. While a position direction continues, its stop is updated to move with price; a crossing of the active stop switches the direction.…
This Chinese equity screening proposal combines turnover between 3% and 12%, a positive but limited ten-day gain, and an upward-diverging moving-average pattern. Its accompanying example adds exclusions for certain exchange segments, special-treatment…
The article explains robust portfolio optimization as a way to reduce the effect of errors in expected-return forecasts. Rather than optimize only for a single set of estimates, the methods consider adverse plausible cases and seek a portfolio that performs…
The document proposes a Chinese equity screen combining three filters: metaverse-related stocks, positive institutional flow, and tickers beginning with the Shanghai “60” prefix. It also presents a Python example that layers in additional selection steps,…
The document explains how Hyperliquid handles leveraged positions when account equity falls below maintenance margin. It first attempts to close positions with market orders on the book, allowing full or partial fills; any remaining collateral stays with the…
This stock-selection rule screens for securities with a 14-period RSI below 65, greater volume at the best bid than at the best ask, and a positive daily price change. The document interprets the RSI condition as a way to identify relatively weak or…
This document outlines operational rules for an automated strategy associated with Bollinger Bands, although it does not specify the precise band conditions that trigger a buy or sell. The system evaluates signals on a new bar and allows the number of open…
The document explains the Gann HiLo Activator as a trend-following indicator attributed to Robert Krausz. It compares the close with moving averages of prior highs and lows, using a three-period lookback in the supplied version. When price is above the…
This research describes a bond-fund selection method built around return attribution. It expands the Campisi framework—which separates income, government-rate, credit-spread, and security-selection effects—with convertible-bond and monetary-policy effects.…
This document describes a trend indicator derived from previously published work and updated with user-requested changes. The listed improvements include terminal, email, and push alerts, independent controls for each alert type, a simpler color scheme, an…
This stock screen combines a daily price-range condition, a moving-average trend signal, and a minimum market-value filter. It seeks shares whose daily high-low range exceeds 1% of the previous close, whose five-period average crosses above the ten-period…
This stock screen combines a turnover filter, a streak of declining closes, and evidence of a sharp rise within a recent lookback period. It selects shares with turnover between 3% and 12%, closes no higher than the prior close for seven consecutive…
This stock screen selects Chinese main board companies with daily amplitude above 1, more than three years since listing, and a daily gain above 1%. Its rationale is to favor more active shares while excluding newer listings and limiting the universe to the…
The note proposes a short-term stock screen using three conditions: price amplitude above 1%, prior-day turnover above 60 million, and appearance on the previous day’s market top list. It presents amplitude and turnover as ways to identify active, volatile…
This short strategy note describes a daily pre-open screen for Chinese equities. It selects stocks with MACD above zero, positive trailing price-to-earnings, and a reported intraday low between 4% and 5% below the previous close. The rationale combines a…
The article argues that individual investors should not expect consumer AI tools to compete with professional high-frequency trading. It points to differences in computing location, market data access, and technical resources, and describes an alleged…
This description covers four MetaTrader 5 scripts for opening short positions with stop-loss and take-profit levels set in points from the current price. Two variants send the position and attached orders together, intended for brokers with nonzero spreads…
This MetaTrader 4 tool places pending buy and sell limit orders at a retracement distance from the Parabolic SAR value. For a sell limit, the reference is the bid price; for a buy limit, it is the ask price. The retracement distance, position size, stop…
This example organizes daily decisions across leveraged sector and broad-market ETFs using separate AI agents for technology, financials, healthcare, energy, and consumer-related groups. Each sector pod is instructed to consult recent news and macroeconomic…
This Expert Advisor uses three moving averages to generate directional entries. A long setup requires the fast average to cross above the middle average while both faster averages remain above the slow average across the current and prior bar comparisons.…