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.
29,558 documents
This report studies whether stocks that suffer sustained, sharp declines later rebound, and how to identify such episodes. It uses rolling-window local extrema with a 15-period parameter to mark turning points, then applies pattern conditions to select 2,048…
This proposed Chinese A-share screen selects stocks with turnover between 3% and 12%, excludes Beijing-listed or Beijing-based names, and uses enterprise ownership or company classification as an additional selection dimension. The accompanying discussion…
This post proposes screening Chinese stocks for daily amplitude above 1%, a robot-related concept, circulating market capitalization below 10 billion yuan, and a weekly candle condition described as a sufficiently tall red bar. It presents example screening…
This stock-selection method screens shares whose codes begin with 60 and whose turnover rate is between 3% and 12%, then selects those with three consecutive sessions where the close is below the open. It treats a run of down candles as a possible reversal…
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…
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 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 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 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 post outlines a Chinese stock screen for companies classified in the metaverse sector. It limits eligible stocks to those with circulating shares at or below 5.5 billion and excludes stocks that reached the upper price limit on the prior trading day. It…
This live-robot dashboard records a crypto spot arbitrage system trading BTC/USDT across Gate and KuCoin, alongside a wider set of monitored assets. Its logs show paired buys and sells on the two venues, with the direction varying by trade. The displayed…
This Expert Advisor combines ADX, CCI, RVI, and Williams %R indicators with a martingale sizing approach. Its suggested tuning sequence first optimizes the main signal and ADX settings with the WPR strategy disabled, then tunes WPR separately, and finally…
This MetaTrader 5 Expert Advisor description outlines a breakout scalping system that trades only when a set of filters align. It uses fast and slow exponential moving averages to define direction, an ATR-based threshold for trend strength, price location…
This description presents a trading-platform header library intended to let Expert Advisors submit buy, sell, and modification requests asynchronously. Its central idea is to avoid making the strategy wait for a server response after each order, allowing…
The document describes a script intended to compare how much an asset moves across trading days. Its single input is the number of trading days to include. The proposed workflow is to analyze historical data and convert the output into a column chart, making…
This document explains how to connect to BitMEX through Lumibot’s CCXT broker interface using an explicit exchange configuration and API credentials. It notes that BitMEX is not among the globally auto-detected credential paths, and identifies the exchange…
The essay argues that a strategy’s statistical edge depends on applying its rules consistently. It distinguishes knowledge of a method’s behavior and risks from knowledge of one’s own ability to follow it under pressure. A hypothetical stock entry missed…
The document describes a stock screen that combines a daily amplitude threshold, appearance on the prior day's market leaderboard, and a weekly MACD condition above zero. It presents these as signals for short-term volatility, trading attention, and an…
This report summary presents a method for setting equity allocations across a retirement investment horizon when the investor has a specified terminal wealth goal. It works backward from that goal, optimizing allocations while controlling risk. Two objective…
This glossary introduces twelve finance concepts spanning central-bank policy, corporate transactions, securities, valuation, and financial risk. It explains rediscounting and open-market operations as channels through which central banks influence liquidity…
This digital-asset market snapshot examines a broad selloff across Bitcoin, Ether, and altcoins through price changes, volatility, trading volume, open interest, funding, ETF and stablecoin flows, order-book depth, spreads, and DeFi liquidations. Its central…