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 article describes an A-share stock screen combining turnover, a newly formed KDJ golden cross, and the prior day's actual turnover. Its final rule also requires market capitalization above one billion yuan, current turnover between 3% and 12%, and…
The document briefly describes an expert advisor that opens trades when Williams %R rises while the positive and negative directional indicators associated with ADX cross downward. It says sell-side rules are the inverse of buy-side rules, though it does not…
This FAQ explains practical design and troubleshooting points for FMZ Quant Workflow strategies. It covers host-version requirements, JavaScript-only code nodes, sequential execution, trigger behavior, reading data from connected parent nodes, and sharing…
The document outlines a Chinese A-share stock screen that ranks candidates by volume ratio, filters for prior-day turnover between 3% and 28%, and requires the 9:25 opening change to be below 6%. It interprets the ranking as a way to favor stocks with…
TRiX is a momentum indicator that measures the percentage change in a moving average smoothed exponentially three times. The document says this repeated smoothing is intended to filter out relatively insignificant price fluctuations. It also describes TRiX…
This post proposes screening Chinese stocks for a large daily amplitude, a prior-day condition labeled as main-force control, and a current low below the previous day’s low. The rationale is to find volatile stocks with presumed large-player support that…
This article introduces the KDJ stochastic oscillator, formed from the close’s position within a recent high-low range and smoothed into K and D lines, with J derived from them. It describes common interpretations: high and low readings as overbought or…
This document describes an Ergodic CCI Trigger indicator built from price momentum and repeated moving-average smoothing. It first calculates the close-to-close change and its absolute value, then smooths both through adjustable stages. Their resulting…
This essay uses the contest of guessing two-thirds of the group’s average to explain why a theoretically logical answer may not win when other players reason differently. Applied to speculation, its central lesson is to consider market behavior and other…
This indicator simplifies a moving average chart into the percentage distances between a smoothed closing price and two exponential moving averages. The example uses a shorter and a longer average, with a separate line showing their relative spread. The…
This stock screen combines a daily price range above 1%, market capitalization no greater than 10 billion yuan, positive profitability, and a bullish moving-average signal described as a weekly red bar. The Python example interprets profitability as positive…
This stock-selection idea combines a daily amplitude threshold above 1% with a weekly positive MACD-style signal, then ranks qualifying stocks by a volume-based heat measure. The article describes the weekly red bar as a short-term upward signal and treats…
This brief troubleshooting post presents a ValueError raised while a BigQuant workflow runs an automatic labeling module. The traceback ends in pandas' binning routine and reports that the generated bin edges are not unique: after negative and positive…
This screen selects Chinese equities with a daily high-low range above 1%, a low price between 4% and 5% below the previous close, and turnover between 3% and 12%. The author interprets the range as a sign of elevated volatility, the steep decline as a…
The document presents a Chinese A-share stock screen that selects main board names with turnover between 3% and 12%, a daily gain above 1%, and circulating market capitalization above 10 billion yuan. It provides indicator-formula references and a Python…
This document describes an MT5 chart indicator that displays server time and the current bid price as labels in the main chart or a chosen subwindow. Its clock uses a timer event to update once per second, so the display can continue advancing when the…
The document introduces R-Breaker as a futures strategy that combines breakout entries with reversal signals. It describes calculating daily pivot, resistance, and support levels from the previous session’s high, low, and close, then using those levels to…
This document describes a Chinese equity screen that combines daily price range, sustained profitability, and dividend payout history. The initial rule requires amplitude above 1, return on equity above 15% for five consecutive years, and a dividend payout…
The document describes an Expert Advisor that trades when the Laguerre_ADX indicator’s cloud changes color. It generates a signal at the close of the bar where the color change occurs. The strategy therefore uses an indicator-state transition as its entry…
This document presents a Chinese equity selection rule combining daily price amplitude, a price threshold, and historical revenue growth. The stated conditions are amplitude above 1, closing price below 20, and 2021 revenue more than 1.1 times 2018 revenue.…
This document describes a Chinese equity screen using three filters: RSI below 65, 2021 revenue more than 1.1 times 2018 revenue, and a positive 10-day gain below 35%. It proposes selecting the first N qualifying stocks and holding them for a year. The…
This Chinese-language post outlines a stock screen based on three filters: daily price amplitude above a threshold, circulating market capitalization above a threshold, and prior-day trading activity above a threshold. It frames amplitude as a sign of active…
This Chinese-language post describes a daily stock-selection screen that looks for MACD above zero, ranks candidates by market attention, and limits eligible shares to a stated range of circulating market capitalization. It gives a brief rationale: MACD is…
This tutorial develops bivariate copulas as a way to describe dependence separately from the marginal distributions of two variables. It defines tail dependence and the Fréchet–Hoeffding bounds, then explains how an empirical copula can be estimated from…