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
The article examines why sector-themed equity funds attract investors and which industries may suit them, then develops two portfolio design approaches. It links investor demand to the visibility of past winners on financial technology fund platforms and…
This document describes a China A-share screening rule for companies classified in the metaverse industry. It combines a circulating share or float-size ceiling of 5.5 billion shares with a volume ratio above 1.5 and below 6. The volume ratio is described as…
This proposed short-term stock screen combines three conditions: price amplitude above a threshold, a rounded price pattern relative to recent prices, and a measure formed by multiplying price change by net volume from very large orders. The accompanying…
This proposed equity screen selects stocks based on an amplitude threshold, current trading volume above a stated level, a higher opening price, and a company-type condition. The accompanying analysis describes the screen as using price movement and volume…
This document describes a channel indicator for identifying potential countertrend entries. It calculates the highest and lowest prices over a configurable lookback range, uses their midpoint as the channel center, and plots a simple moving average of…
This stock-selection rule combines valuation filters with short-term technical signals. It screens Shenzhen main-board shares for positive price-to-earnings and price-to-book ratios below stated upper bounds, RSI below 65, and a shrinking negative MACD…
This webinar recap reviews digital-asset market indicators around Q2 2024, covering Bitcoin exchange-traded fund flows, spot trading, DeFi lending, blockchain transfers, and tokenized real-world assets. It reports that Bitcoin ETF flows cooled in Q2, with…
This brief platform discussion concerns an error encountered while plotting intraday minute bars for a futures strategy. The response identifies a data-availability issue: fields such as adjustment factors and suffixed close-price columns are not present in…
This indicator places two moving averages, labeled fast and slow, in the main chart window and uses a colored histogram to show the gap between a selected pair of values. The histogram can represent price versus the fast average, price versus the slow…
This stock-selection idea combines three filters: daily range relative to an average true range measure, a large single-day gain within the recent 25 trading days, and a weekly moving-average crossover intended to identify a longer-term uptrend. The…
This indicator tracks breakouts beyond recent lows and highs over configurable lookback periods. Each new bearish breakout resets a counter for bars elapsed since that low event; each bullish breakout resets a separate counter since the high event. A buy…
This document describes a semaphore signal indicator built around the XCCX_StDev oscillator. Its configurable mode selects among five signal rules: oscillator levels alone, deviation thresholds alone, both conditions together, or the combined conditions…
This post describes an equity screen requiring MACD to be above its zero line, a two-day high condition, market capitalization below a stated ceiling, and positive net profits over five years. It discusses the rationale for combining a momentum-style…
The post outlines a Chinese equity screening rule that combines metaverse-sector membership, positive institutional flow, and a condition based on rolling 20-period lows and closes. It describes the price condition as a way to find comparatively low prices,…
This forum exchange addresses a question about changing historical EMA readings and repeated signals in a VeighNa CTA strategy using ArrayManager. The answer explains EMA as a recursive indicator: each new bar updates the current value using the latest price…
The document describes two versions of an expert advisor that open opposing positions and manage their volumes in opposite sequences. One starts with the minimum lot and increases the size of later positions; the other starts at the maximum and reduces later…
This MQL5 Expert Advisor uses a strict confirmation chain across five indicators: a moving average, MACD, Stochastic, OsMA, and Awesome Oscillator. A positive signal is accepted only when every indicator confirms it; failure at any stage discards the signal.…
This Chinese stock-selection note proposes screening for shares with turnover between 3% and 12%, three consecutive declining sessions, and circulating market capitalization above 10 billion yuan. It frames the filters as a combination of trading activity,…
This Chinese equity screening idea combines reported net profit growth, an estimate of current buying interest, and a history of limit-up moves. Its stated criteria require buying activity above 5%, year-over-year net profit growth above 20% and no more than…
This note describes a Chinese stock selection screen combining daily price range, a history of limit-up moves, and a rising 30-day moving average. It selects shares whose high-to-low range exceeds 1% of the previous close, that recorded at least two…
The document describes a stock screen requiring price amplitude above 1%, turnover greater than 2% and below 9%, and a 2019 dividend payout ratio above 25%. It presents amplitude and turnover as measures of market activity and uses the historical payout…
The Damiani Volameter is presented as a filter for identifying whether market conditions are trending or ranging. It compares a volatility meter with a threshold: the document says a green line above the black line indicates a trend, while the reverse…
This market review describes a year of changing styles in Chinese equities: cyclical and growth themes led during the recovery, followed by a shift toward value later in the year. It argues that a high earnings base and flattening growth expectations could…
This proposed Chinese mainland equity screen selects main-board stocks with a 14-period RSI below 65, a daily gain above 1%, and turnover between 3% and 12%. The accompanying examples show how to calculate RSI and daily returns, filter for listed shares…