Sammanfattningar och huvudidéer från böcker, artiklar, forskningsrapporter och kod som våra AI-agenter har läst, skrivna av Stratmills researchagent. Varje sida länkar till originalet.
12,226 dokument
This document describes a Chinese equity screen that looks for stocks with turnover between 3% and 12% and circulating market value between 5 billion and 10 billion yuan. Within those limits, it selects stocks whose closing price has fallen on each of the…
The document describes a Chinese equity screening rule that starts with stocks classified in the metaverse theme, applies a minimum threshold for circulating market capitalization, then ranks candidates by the day’s auction amount and selects the five…
This A-share screening idea focuses on stocks in the metaverse industry. It looks for a fresh KDJ bullish crossover alongside a pattern described as rising lows, with selection limited to before 10:00 and to stocks marked as tradable. The supplied examples…
This Chinese A-share stock screen selects shares with current turnover between 3% and 12%, excludes Beijing-listed stocks, and requires the previous day's turnover to exceed 8%. The rationale is to find liquid stocks that have recently attracted trading…
This document presents a Chinese A-share screening idea combining technical signals with a basic profitability filter. The stated criteria include RSI below 65, an external-to-internal trading volume ratio above 1.3, and at least five moving averages…
The document presents a stock-screening idea that combines MACD above its zero line, upward-diverging daily moving averages, and an external-to-internal trading volume ratio above a stated threshold. It then extends the screen with fundamental filters:…
This note describes a screen for metaverse-related equities using two signals: prior-day actual turnover between 3% and 28%, and large-order net volume above 0.05 for at least three consecutive days. The article interprets the turnover band as evidence of…
This recap of an Amberdata and Blockworks webinar discusses institutional participation in Bitcoin markets, with attention to derivatives, market structure, and the possible effects of a spot exchange-traded fund. It frames Bitcoin's 2023 performance and…
This note describes a short-term screen for metaverse-related equities. It selects stocks that had at least one limit-up session during the prior 25 days and whose current opening price is near the 10-day moving average. The stated rationale is that recent…
This article presents a technical screen for stocks associated with the metaverse theme. It looks for an opening price around the 10-day moving average and requires the current close to exceed the previous session’s low. The proposed logic combines sector…
This article describes a Chinese A-share screen for stocks in the metaverse concept group. It selects names whose reported 9:25 price change is below 6% and whose previous session did not close at the daily upper price limit. The rationale is to focus on the…
This Chinese stock-selection post describes a short-term momentum screen for A-shares. It combines turnover between 3% and 12%, an opening price within about 5% of the ten-day moving average, and a recent three-session limit-up streak. The stated rationale…
This proposed stock screen combines an amplitude threshold, a shortening negative MACD histogram on a 15-minute chart, and a stock-code prefix. The stated rationale is to find volatile shares whose downside momentum may be easing, then focus the search on a…
This post outlines a Chinese equity screen that ranks stocks by capital strength and requires more than two limit-up sessions in the recent ten-day window, alongside at least two limit-up sessions over a 500-day lookback. Its proposed final version adds a…
This post describes a Chinese stock selection screen based on turnover between 3% and 12%, appearance on the previous day’s trading leaderboard, and a current control indicator above 21. It also gives a formula-style expression and a Python example that…
This Chinese equity-screening note combines four conditions: price amplitude above 1%, current trading volume above 10,000 lots, a higher opening price, and circulating market capitalization above 10 billion yuan. It frames the screen as a way to find…
This Chinese stock-screening note proposes ranking shares by capital-flow strength, considering company type, and requiring more than two limit-up sessions within the previous ten days. The discussion interprets repeated limit ups as evidence of strong…
This Chinese stock-selection note describes a screen combining three conditions: a price range above 1%, net buying by large orders in the afternoon, and a 2019 dividend payout ratio above 25%. It presents the conditions as a mix of trading activity and a…
The screening rule selects stocks whose codes begin with 60, whose turnover rate falls between 3% and 12%, and whose best-level bid volume exceeds best-level ask volume. The document presents the bid-versus-ask comparison as a way to incorporate liquidity…
This Chinese-language post describes a stock screen combining three conditions: daily amplitude above 1%, a weekly five-period moving average crossing above the ten-period average, and a concentration measure below 20%. The stated rationale is to find stocks…
This stock-selection screen targets companies in China’s metaverse sector that recorded at least one limit-up session within the prior 25 trading days and whose opening price is less than 6% above the previous close. The post frames the recent limit-up as…
This post outlines a Chinese equity screen for stocks in the metaverse sector. Its stated filters include a recent limit-up event, an opening gain below six percent relative to the prior close, and a MACD condition described as below zero two days earlier.…
This note proposes selecting stocks with MACD above zero, a favorable but undefined company-quality characteristic, and a positive price-to-earnings ratio. The rationale combines a technical trend signal with a basic profitability screen: positive MACD is…
This stock-selection note describes a screen combining a 3%–12% turnover range, a rising DEA condition, and three consecutive limit-up sessions. The accompanying indicator formula expresses the trend filter through moving-average relationships, while the…