Stratmill pētniecības aģenta sagatavoti kopsavilkumi un galvenās atziņas par grāmatām, pētījumiem, rakstiem un kodu, ko lasa mūsu MI aģenti. Katrā lapā ir saite uz oriģinālu.
Dokumentu skaits: 79,386
This indicator compares a volume-weighted moving average (VWMA) with a 20-period simple moving average (SMA). It colors the chart background green when the VWMA is above the SMA and red otherwise, giving a quick view of their relative position. It also draws…
This stock-selection rule screens for names with an amplitude measure above 1, large-order net volume above 0.05 for at least three consecutive days, and a volume ratio between 1.5 and 6. It frames amplitude as a measure of price movement, net volume as a…
This strategy uses copulas to estimate conditional probabilities between two assets’ daily returns. It accumulates each probability’s deviation from 0.5 into a mispricing index flag, intended to translate return dependence into a measure of how prices have…
This discussion describes a model-stacking problem in a Chinese quantitative research platform. A user has trained and persisted twenty StockRanker models using the same factor set but differing in date ranges, data filters, or prediction horizons. The goal…
This note describes a China-market stock screen for companies classified in the metaverse theme. It selects stocks whose closing price is above the five-day moving average and whose previous-day traded value exceeds 60 million. The author presents the…
This short indicator description presents a Stochastic Oscillator derived from William Blau’s Stochastic Momentum concept, as discussed in his book on momentum, direction, and divergence. The implementation displays the oscillator as a color-coded histogram…
A beginner asks whether an automated strategy can trade only stocks listed on China’s ChiNext board. The replies explain that the strategy’s candidate universe can be filtered by stock code, retaining securities whose codes begin with the board’s identifying…
This Chinese stock-screening post combines three technical conditions: a daily price range above a stated threshold, an opening price near the 10-day moving average, and weekly MACD above zero. The post interprets these as signs of higher volatility, a…
This post describes a stock-selection idea that combines MACD above zero, a favorable company characteristic, and a minimum listing history. Its rationale treats positive MACD as a sign of price strength and listing age as a way to avoid very recently listed…
This Chinese-language post proposes a stock screen using three conditions: a large daily high-low range, at least one single-day gain of 10% or more during the preceding 25 trading days, and an opening price near the ten-day moving average. It frames the…
The document explains a ZigZag indicator that stores swing highs and lows in separate buffers. A candidate high or low is identified by comparing it with the corresponding values across a configurable number of earlier bars; the stated default lookback is…
This proposed screen targets metaverse-related stocks with three technical crossover conditions and at least two limit-up events during the prior 500 days. The article names MACD-related signals and a 5-day versus 10-day moving-average crossover, and…
This proposed Chinese equity screen looks for stocks associated with the metaverse concept, a rising 30-day moving average, and total assets above 200 million yuan. The article includes a platform formula reference and a Python example that filters a data…
This stock-selection screen combines three filters: RSI below 65, a 20-day moving average above the 120-day moving average, and exclusion of stocks identified as belonging to the excluded technology board. The accompanying Python example retrieves stock…
This note describes a stock screen requiring amplitude above 1, positive institutional money-flow direction, and a positive daily MACD. The conditions combine a measure of price movement, a proxy for institutional flows, and a momentum indicator intended to…
This note presents a Chinese stock-selection screen using three conditions: today’s increase in holdings above 5%, the ratio of external to internal trading volume above 1.3, and the 20-day moving average above the 120-day moving average. The first two…
This note describes a Chinese equity screen combining price movement, trading activity, opening behavior, and a long-term trend filter. It selects stocks with amplitude above 1, current volume above 10,000 lots, an open above the previous close, and a close…
This stock-screening idea selects shares with RSI below 65, free-float market value between 5 and 10 billion yuan, and daily price amplitude above 1%. The article explains the intended roles of the filters: RSI indicates short-term overbought or oversold…
This French-language overview compares five open-source tools for automating cryptocurrency trading: OctoBot, FreqTrade, Hummingbot, Jesse, and Superalgos. It describes their broad use cases and relative strengths, including configurable strategies, cloud or…
This indicator divides a selected price range into bins and totals volume associated with bars whose closing prices fall in each bin. It marks the bin with the greatest volume as a strong level, then identifies low-volume bins above and below it as potential…
The proposed stock screen selects shares with daily amplitude above a threshold, a weekly five-period moving average crossing above the ten-period average, and an appearance on the prior day’s exchange trading-activity list. The rationale combines price…
The document describes a daily classification approach for detecting positive momentum, negative momentum, or normal conditions in Bitcoin, Ethereum, and Litecoin. It uses historical prices and technical indicators as features, then compares classifiers…
This post proposes a stock screen combining three conditions: relatively strong trading activity, a nonempty convertible-bond-related name field, and a shortening negative MACD histogram on a 15-minute chart. The author interprets the histogram condition as…
This post outlines a daily pre-market screen for Shenzhen main-board shares. It selects stocks with MACD above zero and positive earnings, then applies valuation bands: price-to-earnings from zero to 29.01 and price-to-book from zero to 3.11. The stated…