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.
79,386 documents
This report describes a fundamental equity quality framework spanning profitability, growth stability, earnings quality, cash flow, operating efficiency, and solvency. It screens factors for historical long-term return behavior, then builds a composite…
This research summary reviews dynamic ways to allocate among equity style factors, contrasting them with static allocation and grouping methods by whether they rely on returns, risk, or both. It first builds the investable factor set: 28 underlying factors…
This document describes an Expert Advisor that trades when the Bear Bulls Power histogram changes color. It checks for a color change at bar close and uses that change as the entry signal. The page notes that the strategy depends on a separately compiled…
The document addresses a stock-selection model whose chosen stocks and reported backtest returns change when the backtest end date is moved forward by about twenty days. The explanation is that the training data differs across the runs. A model trained on a…
The document describes a forex Expert Advisor that places market orders in one direction at fixed price intervals. A configured maximum price sets the top of the trading range; the examples show a range extending ten yen or ten cents below that level. The…
The VKW_Bands_Modify indicator is described as a timing aid for placing pending orders. It draws a channel using thick pink and light green boundary lines, alongside a fast blue line from the METRO indicator. The proposed setup occurs when that fast line…
This short-term stock screen combines three filters: a prior-day price amplitude above 1%, appearance on the previous day's top-trader list, and a current-day price decline between 4% and 5%. The post presents the decline as a potential pullback entry and…
This post describes adapting VeighNa to use the GoldMiner market data service as a source of historical bars. It outlines the author's account of the free tier's available history, then highlights integration details: mapping bar intervals, reversing the…
This stock screen combines a metaverse-sector filter with prior-day turnover above 8% and a 15-minute MACD condition intended to identify a shortening bearish histogram. The article presents the combination as a way to bring sector interest, trading…
The document raises a question about comparing backtested factors when they produce different numbers of trades. Its example contrasts one factor with 100 trades and a 2:1 profit-loss ratio against another with 1,000 trades and a 1.5:1 ratio, asking whether…
The document proposes a Chinese equity screen combining three conditions: membership in the metaverse industry, an arc-shaped price pattern, and institutional flow above zero. It presents the positive flow reading as a sign of institutional buying and…
This stock screen selects beverage and alcohol-related companies with turnover between 3% and 12%, then requires the current price to sit above a set of moving averages ranging from short to long horizons. The stated rationale combines an industry filter,…
This stock-selection idea combines an amplitude threshold, a rounded price-range pattern, and a company or industry classification. The accompanying indicator expression uses recent high-low ranges over several lookback windows to identify a compressed,…
A trader reports that a VeighNa RiskManager configured with very low limits still allowed repeated large buy orders to execute in a SimNow simulation. The reported behavior raises a practical question about how risk controls interact with the platform’s…
This Chinese-language post presents a technical stock-selection idea combining three conditions: daily price amplitude above one, three consecutive limit-up sessions ending the previous day, and three consecutive declining sessions. It frames the conditions…
This Chinese-language post describes a simple stock screen for companies classified in the metaverse sector, with a positive recent return and market capitalization above 200 million yuan. It outlines the selection logic using sector membership, a price…
This article explains how to combine centralized exchange market data with blockchain data through multiple Model Context Protocol servers. Exchange tools provide prices, candles, and order books; on-chain tools can reveal transfers, holders, decentralized…
This weekly crypto options analysis links macroeconomic events, including US debt ceiling negotiations, inflation data, Fed minutes, and upcoming employment figures, to Bitcoin and Ethereum volatility. It argues that the market may remain in a wait-and-see…
This report describes a stock rotation strategy that seeks timely events associated with excess returns. Its event factors cover shareholder actions, dividend policies, earnings forecasts and reports, growth measures, and private placements. The strategy…
This note describes a stock screen for shares whose codes begin with 60, whose turnover rate is between 3% and 12%, and whose price gain at 9:25 is below 6%. It presents turnover as a liquidity filter and the early price move as a rough indicator of market…
This note presents a China A-share screening rule for stocks classified in the metaverse sector. It selects stocks that appeared on the prior day’s trading leaderboard and whose weekly close crosses above the 30-week moving average. The proposed rationale is…
This document explains a MetaTrader 4 script that builds an offline chart for a user-defined basket of instruments and updates it as new ticks arrive. It calculates basket prices using a geometric mean, allows directional weights—including fractional…
This note describes a short-term A-share selection rule combining three filters: intraday amplitude above 1, a top-five ranking by today’s opening-auction amount, and prior-day auction turnover above 0.26. It frames the combination as a way to find stocks…
This overview describes research on forecasting and trading commodity spreads, including gasoline crack, soybean-oil crush, and corn-ethanol crush spreads. It explains why spreads can be less exposed to market-wide information shocks and speculative bubbles…