Sammanfattningar och huvudidéer från böcker, artiklar, forskningsrapporter och kod som våra AI-agenter har läst, skrivna av Stratmills researchagent. Varje sida länkar till originalet.
79,386 dokument
This factor note defines a volume-weighted measure of a stock’s intraday relative price range. For each instrument and date, it calculates the high-low range divided by the opening price, weights that value by volume, and divides the summed weighted values…
This forum post raises implementation questions about historical data warm-up in VeighNa portfolio strategies. The author considers a strategy whose longest signal period is 20 days and asks whether an ArrayManager size of 25 is sufficient, and whether that…
This post outlines a Chinese stock screen for companies in a metaverse-related category, with previous-day turnover above 8% and tradable shares capped at 5.5 billion. It explains tradable float as shares available for market trading after restricted or…
This document describes a Chinese equity screening rule combining daily price range, a reversal pattern, and a recent limit-up. Its refined version looks for a range above 1%, a reversal pattern within the latest three trading days, and at least one limit-up…
This post describes a daily screen for main-board stocks, excluding the technology-focused board. It selects shares with turnover between 3% and 12%, a gain above 1% relative to peers in the same board, and a day high that is the highest across two days. The…
This post describes a technical stock screen framed around price amplitude above one, a K-line condition below twenty, and an arc-shaped indicator. Its sample formulas add comparisons between the arc signal and its moving average, rising volume, and changes…
This article summary presents a quantitative framework for combining conventional alpha factors with ESG-related signals in equity portfolios. It distinguishes exclusion screens, ESG integration, and impact investing, then focuses on integration: investors…
This Chinese stock-screening post proposes ranking equities by capital-flow strength, using measures such as net inflows and turnover, then selecting stocks where three technical indicators show simultaneous golden crosses. The examples named are Bollinger…
This trading system combines three Stochastic indicators operating on different timeframes. Two indicators establish directional bias by comparing each Stochastic reading with its signal line. A third, lower-timeframe indicator provides the entry trigger…
The document explains how a trading system can represent a tokenized asset that tracks an external security, such as a stock or fund traded on a crypto venue. It defines the instrument’s identity, currencies, asset classification, price and quantity…
The document describes a Chinese stock screening strategy that combines technical and fundamental filters. It selects stocks with at least five moving averages on the daily chart, at least two limit-up sessions within the past 500 days, and a pre-open gain…
This indicator description adapts the pocket pivot concept associated with Chris Kacher and Gil Morales. It flags an up day when the close is above a longer-term moving average and the day's volume exceeds the largest volume seen on a down day in the recent…
This reference explains a chart tool that plots price values vertically and their frequencies horizontally, showing how bid and ask observations are distributed around the current bar. Histograms can extend left, right, or both ways, and can represent either…
This post describes an A-share screen requiring turnover between 3% and 12%, market capitalization below 10 billion yuan, and positive income, while excluding stocks that hit the daily price limit the previous day. It presents the rationale as avoiding…
This stock-screening proposal combines three conditions: daily price amplitude above one percent, a newly formed KDJ golden cross, and positive recent price changes across several lookback periods. The article interprets the amplitude filter as selecting…
This introductory guide surveys active and passive approaches to cryptocurrency trading. Its active strategies include day trading, swing trading, trend trading, and scalping. It distinguishes them by holding period, monitoring demands, and the kinds of…
This note proposes screening stocks with RSI below 65, a rising MACD signal line (DEA), and a shortening negative MACD histogram on a 15-minute chart. It gives standard MACD and RSI parameter references and a Python example that iterates through stocks,…
This Chinese equity screening idea requires a stock to belong to the metaverse theme, show positive net buying by major participants during the opening auction, and have prior-day auction turnover above 0.26. The rationale is to combine a market-theme filter…
This proposed Chinese equity screen looks for robot-concept stocks with an intraday amplitude above 1%, circulating market value below 10 billion, and an opening auction gain between -2% and 5%. The article’s proposed refinement adds a requirement that the…
The Max Deviation indicator measures the range between the highest high and lowest low across a configurable lookback window. Subtracting the window’s lowest low from its highest high produces a simple measure of the instrument’s total price movement during…
This A-share screening idea combines a 14-period RSI below 65 with year-over-year growth in parent-company net profit above 20% and no more than 100%. It also requires a daily gain above 1% and focuses on main-board stocks. The intended combination is a…
This expert advisor uses three moving averages to define entry conditions. A buy opens when the fast average crosses above the middle average while both remain below the slow average. The sell condition reverses the crossover direction and requires the fast…
This Chinese-language post describes a stock-selection screen for shares whose codes begin with 60, whose daily high-to-low range exceeds one percent of the opening price, and where the KDJ indicator has just formed a bullish cross. The post explains the…
The trading system described uses the ColorTrend_CF indicator to detect changes in trend direction. It generates a signal when a bar closes and the indicator’s cloud changes color. The document identifies a historical test on XAUUSD at the four-hour interval…