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 tutorial introduces Apache Arrow as a columnar format for in-memory computing and PyArrow as its Python interface, with integration for pandas, NumPy, and native Python objects. It demonstrates creating an Arrow scalar, converting a pandas DataFrame…
This A-share screening rule combines a daily high-low range greater than 1%, a newly formed KDJ crossover, and positive main-fund net inflow on the prior day. The post presents the range condition as a way to find volatile stocks, the crossover as a possible…
The document describes a three-candle Popgun pattern: an inside candle is enclosed by two outside candles. It uses the direction of the second outside candle to choose long or short bias, then treats a break beyond that candle’s high or low within the next…
This A-share screening concept selects stocks with at least five converging moving averages, ranks them by individual-stock “heat,” and requires at least two limit-up sessions within the prior 500 days. The accompanying explanation interprets the…
This proposed A-share screen combines three conditions: at least five moving averages converge, the opening price is near the 10-day average, and the stock has hit the daily limit at least twice in the past 500 days. The accompanying rationale treats average…
This market snapshot reviews several digital-asset areas: centralized exchange share, spot price moves, futures long-short ratios, DeFi lending activity, and blockchain transaction patterns. It describes Binance losing exchange-volume share after regulatory…
This tutorial demonstrates a graph convolutional policy, GPM, inside a reinforcement-learning portfolio workflow. It loads historical stock features and a sector and industry graph, then reduces the graph to nodes within two hops of the selected portfolio…
This stock-selection note describes a Chinese equities screen that combines three signals: membership in the metaverse theme, positive net buying by major participants during the opening auction, and an increase in the KDJ K value. It interprets these as a…
The document outlines a Chinese A-share stock screen centered on a metaverse industry classification, elevated recent turnover, share prices above a stated threshold, larger market capitalization, and return on equity. It first presents a simpler theme,…
This short description presents a simplified indicator based on the 14-period Average Directional Index (ADX) and its positive and negative directional components. It says the relative position of the positive component, negative component, and main ADX line…
The document introduces the VIX as an options-derived measure of expected volatility over roughly the next 30 days, then describes the idea of adapting a similar measure to markets beyond the major US stock indexes. It names possible applications such as…
This post outlines a Chinese equity selection idea that ranks stocks by capital-flow strength, choosing the top 100, and filters for an opening-stage price rise below 6% at 9:25. It associates strong flow rankings with market attention and treats a limited…
This post describes a short-term Chinese equity screen using RSI below 65, an outside-volume to inside-volume ratio above 1.3, and a share-price filter. Although the headline mentions a specific price, the body shifts to a range: its example uses prices from…
This post proposes screening Chinese equities for daily price amplitude above 1, return on equity above 15% for five consecutive years, and a rounded price pattern. It presents the combination as a way to pair a volatility condition with sustained…
This Chinese-language post outlines a stock selection rule using price amplitude, relative trading volume, and return on equity. It specifies amplitude above 1%, a volume ratio between 1.5 and 6, and ROE above 15% in each of the past five years. The intended…
This Chinese-language post describes an A-share stock screen combining price amplitude, a 2019 dividend yield threshold, and a range for floating market capitalization. The intended logic selects stocks with amplitude above 1, dividend yield above 25%, and…
The article explains how to estimate gains from cryptocurrency investments, trades, fiat conversions, and mining. Its basic method subtracts acquisition cost from sale proceeds to find gross profit, then deducts transaction and other costs—such as exchange…
This BigQuant platform report investigates Beijing Stock Exchange records in the Chinese stock factors table and how they interact with a basic stock-selection query. The author queries instruments with the Beijing suffix for a single date and reports 249…
This indicator description presents a TRIX variation that uses Wilder-style double exponential smoothing and floating signal levels. It offers three possible ways to mark changes on a chart: crossing the outer levels, crossing a dynamic middle or zero level,…
This brief script description outlines a tool for estimating the margin needed to open a trade at a specified volume. It also says the tool calculates the maximum number of lots that can be traded for a chosen symbol. The only example identified is CADJPY…
This Chinese stock-screening note combines a large-order net-flow ranking with a moving-average trend filter. It proposes ranking stocks by large-order net volume, treated as a measure of buying pressure, and keeping those whose 20-day moving average is…
This indicator description explains pivot-point analysis as a way to derive potential support and resistance levels from the prior period’s high, low, and pivot. The first support and resistance levels use the distance between the pivot and the corresponding…
This factor-monitoring summary compares Chinese equity signals over weekly, monthly, year-to-date, and one-year windows. It reports rankings for long-only absolute returns, long-short returns, information ratios, and relative strength. The factors discussed…
This post describes a stock screen for main-board shares that combines a daily turnover-rate band of 3% to 12%, a circulating market value between 5 billion and 10 billion yuan, and an additional company-type criterion chosen by the user. It gives equivalent…