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.
31,205 documents
The document outlines a China A-share screening rule focused on metaverse stocks. It selects shares whose observed opening gain is below 6%, whose open is within 5% of the 10-day moving average of closes, and whose 14-period RSI is below 60. It gives…
FatlMacdCandleSign is a semaphore-style indicator built from two FatlMacd calculations, one using open prices and the other using close prices. It produces a signal when the difference between the two values changes sign. The signal therefore tracks the same…
The Derivative Oscillator, attributed to Constance Brown, is presented as a momentum indicator built from a repeatedly smoothed relative strength index. The RSI is first smoothed with an exponential moving average and then smoothed again with a second…
The document outlines a China A-share stock screen based on daily price range, geography, and circulating market value. Its stated filters require amplitude above 1%, exclude Beijing-listed shares, and select companies with circulating market value above 10…
This Expert Advisor design combines two smoothed rate-of-change indicators across different timeframes. A slower indicator sets the broader trend direction from the relationship between its main and signal lines; a faster indicator times entries when its…
This Chinese-language post outlines a stock screen for companies classified in the metaverse sector. Its stated final criteria require a volume ratio above 1.5 and below 6, the current day's low below the prior day's low, and market capitalization under 50…
This proposed daily stock strategy uses a three-line break reversal signal with a moving-average trend filter. It enters long after an upward reversal, when the moving average is rising or price is above it. The suggested stop is set using the prior…
This short indicator description presents a multi-timeframe version of a double-smoothed exponential moving average (EMA) for MetaTrader 5. In addition to the platform’s standard timeframe choices, it offers three relative higher-timeframe selections: the…
This Chinese-language post describes a mainland China stock screen combining turnover of 3%–12%, membership in a robotics concept group, circulating market value below 10 billion yuan, and exclusion of stocks that hit the upper price limit on the prior day.…
The post describes a Chinese equity screen applied after 2 p.m. It selects stocks with turnover between 3% and 12%, a positive return over the prior ten days below 35%, and positive large-trade net inflows in the afternoon. A Python example sketches a…
This indicator highlights candlesticks when candle size multiplied by volume exceeds a configured threshold. Users can define size using either the candle body or its full high-to-low range, choose the applied volume measure, and set which bar triggers a…
The post proposes screening stocks classified in the metaverse sector for a rounded price formation and comparatively strong fund-flow intensity. It describes a volume-related calculation that combines trading volume with the close-to-open move relative to…
This post outlines a Chinese equity screen that selects stocks in the beverage and alcohol import-export category when their 14-period RSI is below 65 and a same-day control measure exceeds a stated threshold. It presents the screen as combining a technical…
The post compares a hand-built 120-period Commodity Channel Index calculation with the platform’s built-in CCI function and asks why their results differ. It identifies the typical price as the average of the high, low, and close, then describes a formula…
This post proposes a stock-selection screen using RSI below 65, a condition involving price change multiplied by a large-order flow measure, and today’s position increase share above 5%. It presents the combination as a way to consider technical conditions…
The document presents an intraday stock-selection screen for Chinese equities. It selects stocks with an amplitude above 1, a product of prior-day turnover and the ratio of current auction volume to prior-day volume between 0.5 and 2, and a price rise below…
The document describes a technical indicator built from three moving averages: a short-term average displaced forward by three periods, a medium-term average displaced by five, and a long-term average displaced by five. It identifies the periods as 3, 7, and…
The post proposes a stock selection rule combining price amplitude above a stated threshold, progressively rising bottom levels, and a bullish weekly bar. It characterizes these as technical signals for price movement and buying interest, then suggests…
The post describes a way to prompt a language model to produce backtest code for the SuperMind platform: provide platform-specific function documentation, spell out the desired trading logic, and warn against known invalid patterns. Its example requests a…
This short-term Chinese stock screen selects shares whose daily price amplitude exceeds 1, whose reported daily control measure has an absolute change above 21, and whose auction-period return lies between -2% and 5%. The post presents these filters as a…
The Guppy Multiple Moving Average indicator groups two sets of moving averages to compare shorter-term price behavior with longer-term market direction. Its fast group uses six averages from 3 to 15 periods, while its slow group uses six averages from 30 to…
This Chinese equities screen combines three price conditions: daily amplitude above 1, a 9:25 price gain below 6%, and a closing price above the previous day's low. The stated intent is to find stocks with some volatility and strength while avoiding an…
This expert advisor trades after a chosen number of consecutive candles share the same direction: it buys after a bullish run and sells after a bearish run. Version 6 adds configurable exits when the next candle goes against the position, an event the…
This note describes a way to rescale the Stochastic Momentum Index (SMI) against its recent volatility. It first computes the SMI, then forms upper and lower bands around a 24-period exponential moving average using two standard deviations. The current SMI’s…