Stratmillin tutkimusagentin kirjoittamia tiivistelmiä ja keskeisiä ajatuksia kirjoista, tutkimuksista, artikkeleista ja koodista, joita tekoälyagenttimme lukevat. Jokaisella sivulla on linkki alkuperäislähteeseen.
79,386 dokumenttia
This document presents a stock selection rule for Chinese companies classified in the metaverse theme. It screens for previous-day actual turnover between 3% and 28% and requires the daily MACD difference line to be above its signal line. The text explains…
This document explains a chart indicator that builds Fibonacci levels from successive swings identified by the ZigZag indicator. Keyboard controls move through swings, while users can show, hide, drag, or extend a Fibonacci drawing and edit its levels.…
This document describes a Chinese A-share stock screen combining turnover, market capitalization, profitability, and order-flow measures. It selects stocks with turnover between 3% and 12%, market value below 10 billion yuan, positive average earnings per…
This stock screen combines three filters: at least five moving averages are described as converging, price-to-earnings and price-to-book ratios fall within specified ranges, and the 20-day moving average is above the 120-day average. The first condition is…
This short description presents a modified display of the Parabolic Stop and Reverse indicator in a separate chart window. Its additional function checks whether the charted instrument has an open position and issues an alert when the SAR signal moves…
This Chinese-language article outlines an A-share stock screen combining market capitalization, turnover, a KDJ bullish crossover, and a prior-day opening call-auction price near the daily limit-down level. The final stated criteria require market value…
This stock-selection approach screens companies in the metaverse sector for a bullish MACD crossover and a rising KDJ K value. The post also gives an example implementation that adds a market-cap range, though its code uses a KDJ-based RSI threshold and does…
The document describes a short-selling rule set for equities and indices. It opens a short position when the close is below the 200-day moving average and closes have risen for four consecutive days. The position is exited when the close falls below the…
This webinar overview describes a panel discussion about the development of digital asset markets and institutional participation. Its topics include market structure, regulation, trading technologies, institutional entry, and practical approaches to trading…
This brief description introduces a Parabolic Moving Average indicator that displays standard deviation bands. It identifies three user-adjustable inputs: the moving-average period, the price series used for the calculation, and the band deviation. Together,…
This proposed A-share screen selects stocks with turnover from 3% to 12%, an opening price within roughly 5% of the ten-day moving average, a latest close at or above that average, and at least one limit-up event in the preceding month. The article frames…
This Chinese stock-selection proposal filters for turnover between 3% and 12%, a rising DEA signal, and at least one daily gain of 10% or more during the previous 25 trading sessions. The article presents these conditions as a combination of trading…
This proposed Chinese equity screen combines three conditions: at least five moving averages clustered near the closing price, floating market capitalization above 200 million, and more than two limit-up sessions within ten trading days. The article…
This stock screen combines daily price amplitude and a controlling-shareholder measure with valuation limits for Shenzhen main-board shares. It selects stocks with amplitude above 1, a stated control measure above 21, price-to-earnings ratios from 0 to…
This stock-selection rule screens for main-board shares with turnover between 3% and 12%, a daily gain above 1%, and a reversal-style candle condition. The stated pattern requires the current open to exceed the prior close while the current close falls below…
This documentation explains formulaic alpha factors: signals represented as mathematical expressions that can be computed from market data. It uses MACD as an example, defining the signal from the difference between short- and long-period exponential moving…
This strategy ranks U.S. stocks by return on assets (ROA) separately within larger- and smaller-capitalization groups. ROA is defined using quarterly income before extraordinary items divided by assets from the prior quarter. Within each size group, it buys…
This expert advisor concept uses candle size as a trade filter: when a candle exceeds a configurable pip threshold, it opens a buy trade. If that trade loses, the next trade uses a larger lot, with the scaling factor controlled by the user. The author frames…
This example demonstrates an iceberg-style execution workflow for a futures contract. The trader chooses a symbol, a total volume, minimum and maximum order sizes, and a buy or sell direction. A target-position task manages orders toward the desired net…
This brief document describes a higher-timeframe version of the HVR indicator. A user selects the indicator’s chart period through an input setting, allowing the HVR display to use a timeframe different from the chart where it is viewed. The description says…
This document describes an expert advisor built around crossovers between two moving averages, with a third moving average used as a filter. It exposes settings for each average’s period, shift, method, and display color, and describes plotting the averages…
This overview introduces rules-based crypto trading and distinguishes discretionary decision-making from systematic strategies that use indicators, algorithms, or automation. It explains dollar-cost averaging as recurring purchases at fixed intervals, then…
This brief response addresses preprocessing for deep-learning models applied to stock data, including Boolean values and infinite observations. Its direct recommendation for infinities is to remove them. For broader feature preparation, it lists outlier…
The post describes a Chinese equity screening rule combining a 14-period RSI below 65, a specified range for tradable market capitalization, and a share price below 12. When at least five stocks meet the filters, the example selection function sorts…