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
This screen narrows the universe to stocks classified in the metaverse industry, then looks for a newly formed bullish KDJ crossover alongside a shortening negative MACD histogram on a 15-minute chart. The article interprets the KDJ cross as a possible turn…
This proposed Chinese stock screen selects shares whose daily high-low range exceeds 1%, whose KDJ J line has just crossed above D, and which have had more than two limit-up days within ten days. The text interprets a large range as evidence of volatility,…
KoliErBands is presented as a variation on Bollinger Bands. Its distinguishing feature is the center line: it uses the average of the period’s High and Low prices rather than the conventional basis described for Bollinger Bands. The selected period…
Cronex Taichi is an indicator designed to make Ichimoku readings easier to interpret and to distinguish potential flat markets from trends. It defines Taichi as a weighted average of Tenkan, Kijun, and both Senkou spans. TaichiFor uses the two Senkou spans…
This research roundup summarizes three studies. The first examines whether unexpected US monetary policy announcements affected hedge fund alpha after the financial crisis, using event studies, structural-break tests, and Markov-switching models. It reports…
FollowLine is a chart indicator intended to identify market trends using Bollinger Bands. Its settings let a user choose how many bars to display and set the band period and deviation, which control the indicator’s lookback and band width. The indicator can…
This report examines shortcomings in the Henriksson–Merton (HM) and Treynor–Mazuy (TM) models for assessing fund managers’ market and style timing. TM represents beta adjustment as a gradual quadratic pattern, while HM assumes a two-state exposure shift;…
The Optimized Trend Tracker (OTT) is presented as a trend-following indicator that compares price with a trailing threshold derived from a moving average. Price above OTT is treated as an uptrend condition, while price below it indicates a downtrend. The…
The proposed screen selects stocks after the open when their five-period amplitude measure exceeds a threshold, the measured institutional participation rate changes materially from the prior day, and the share price equals a specified level. The document…
This stock-screening concept combines three filters: at least five moving averages converge, the stock appeared on the previous day’s exchange trading leaderboard, and it belongs to a recent listing period. The example moving-average horizons range from…
HftBacktest uses Numba-compiled classes and strategy functions, so importing the library and compiling a strategy can add startup time before a backtest begins. The document describes enabling Numba’s cache option on a strategy function so compiled code can…
The document describes four MQL5 scripts for opening long positions with stop loss and take profit distances specified in points from the current price. Two variants submit protective orders along with the trade for brokers that support this approach and…
This reference describes MQL5 preprocessor macros that make Expert Advisor code more concise. It maps indexed rate data to candle prices and times, exposes bid and ask values, and provides access to moving averages and ATR arrays. The author assumes…
This Expert Advisor trades when the XAng_Zad_C indicator cloud changes color. It can restrict entries to a configured daily time window and close open positions at the selected end time. If the start time falls later than the end time, closure is scheduled…
This reference distinguishes local simulation accounts from remote Quick simulated accounts for futures and stocks. It describes TqSim as a local futures simulation option for development and backtests, TqKq as a Quick linked futures account, and…
This report overview defines smart beta as a systematic, rules based way to obtain exposure to selected investment factors. It compares the United States and China through their ETF markets, describing differences in product scale, factor coverage, and index…
This guide explains how interactive controls send commands to a running trading strategy. Controls can carry numbers, booleans, strings, dropdown selections, or button actions; strategy code retrieves the resulting messages and can use them to change…
Rainbow_HTF is a MetaTrader 5 indicator variant that lets the user select the timeframe from its input settings. The supplied example sets the indicator period to four hours, illustrating that the chosen period can be specified independently through a…
This Chinese stock-selection proposal combines a relative-strength index below 65, an external-to-internal trading-volume ratio above 1.3, and revenue growth from 2018 to 2021 above 10%. The author presents the mix as a way to bring technical conditions,…
This overview describes an automated cross-exchange market-making executor in the Hummingbot framework. The strategy seeks to capture price differences between venues or markets by placing a maker order on one side and executing against a taker market when…
The document outlines a Chinese equity screening idea combining three conditions: at least five moving averages converge, the opening price is near a ten-day average, and the quoted 9:25 change is below 6%. It argues that converging averages may indicate…
This Expert Advisor design runs separate long and short trading systems based on signals from the ColorMETRO indicator. Inputs with one prefix control long trades, while another group controls short trades; each side has its own magic number, position-sizing…
The document outlines the five factors used to explain differences in stock returns: market excess return, company size, book-to-market value, profitability, and investment. It describes each as a comparison between groups of stocks, such as small versus…
This stock selection approach combines moderate trading activity, recent price-limit events, and a cap on tradable shares. It screens for turnover between 3% and 12%, at least one limit-up event in the prior 25 days, and a float threshold stated as 5.5…