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
The Didi Index is described as a moving-average indicator developed by Brazilian analyst Odir Aguiar. It uses three moving averages, including periods of 8 and 20, arranged around a zero center line. Its “needles” form when the averages converge near that…
This equity screen combines an RSI below 65 with three consecutive down sessions and more than two limit-up days in a ten-day window. The stated idea is to find stocks showing recent weakness while also having a record of sharp upward moves, which the author…
This equity screening approach combines three filters: at least two limit-up sessions within the prior 500 days, weekly MACD above zero, and high fund-flow strength. The note describes fund-flow strength through activity measures such as turnover or volume…
This indicator description adds a three-level trend-strength display to the i-CAi indicator. It calculates standard deviation and compares it with two user-set thresholds. When the value falls between the thresholds, a small colored dot appears on the moving…
This Chinese-language note describes an equity screening rule combining daily price amplitude, a weekly moving-average crossover, and a ranking by stock heat. It selects stocks with amplitude above 1% and a weekly five-period moving average crossing above…
This market snapshot connects crypto news and on-chain activity with spot-market, decentralized exchange, lending, and network indicators. It notes that BTC and ETH pairs remained prominent in centralized exchange dollar volume, while Binance’s share of…
This essay argues that a trading system only helps when a trader can follow it and its demands fit the trader’s goals, temperament, and market. It outlines four recurring price structures—triangular consolidations, directional channels, ranges, and expanding…
This weekly report describes two event-driven approaches to Chinese equities. The product-price strategy tracks listed companies’ main product prices and flags cases where a clear price increase has not yet been reflected in share prices. It is updated…
This note proposes an equity screen combining turnover with a rising DEA signal. It describes an initial turnover range of 3% to 12%, an additional condition requiring turnover between 2% and 9%, and a bullish DEA condition expressed through moving-average…
This forum post documents a failure in a stock strategy’s trailing-stop routine. The routine reads each position’s last sale date, subtracts it from the current date to estimate holding days, and uses that value as the bar count when requesting historical…
This note describes an equity screen that ranks stocks by a capital-strength measure, such as turnover or volume ratio, and filters for turnover between 2% and 9%. It also requires the 20-day moving average to be above the 120-day moving average, using the…
This stock-selection idea combines three prior-day conditions: price amplitude above 1%, appearance on a trading leaderboard, and no limit-up close. The text interprets a larger range as a sign of short-term volatility and leaderboard presence as a possible…
This brief description introduces a two moving average crossover strategy. A trader chooses a shorter and a longer averaging period, then uses their intersection to identify a possible position entry. It gives a 50-day and 200-day pair as an example, but…
This guide explains a dollar-cost averaging trading mode for placing repeat entries and managing the resulting positions. Entries can be triggered on a schedule or when an evaluator produces a new maximum signal, defined as a value of -1 or 1. The guide says…
This brief Chinese-language page introduces a portfolio optimizer as a mathematical tool for selecting and weighting assets subject to constraints. It identifies three possible objectives: maximizing expected return, minimizing risk, or balancing the two.…
The document describes CoRa_Wave, a moving average that assigns weights through a compound-ratio progression. The weights rise from older observations to newer ones with a consistent step ratio, unlike the linear sequence used by a conventional weighted…
The described screen combines technical, valuation, and recent-return conditions for Shenzhen mainboard stocks. It seeks shares with at least five moving averages aligned or clustered, a price-to-earnings ratio from 0 to about 29, a price-to-book ratio from…
This proposed stock screen excludes Beijing-listed shares, keeps stocks whose high-to-low amplitude exceeds 1%, and ranks the remaining names by that day’s opening-auction traded value. It selects the top five, making auction activity the ranking signal and…
This stock-selection rule targets mainland Chinese mainboard equities with turnover between 3% and 12%, first-level bid volume greater than first-level ask volume, and a daily gain above 1%. The proposed screen combines a turnover range intended to capture…
This document describes an Expert Advisor that trades signals from the custom BullsBearsEyes indicator. It opens a buy when the indicator value on the prior bar is 0.0 and a sell when that value is 1.0. The EA includes configurable stop-loss, take-profit,…
The document addresses a conflict between stop-loss logic and a machine-learning strategy's next-day buy list. A stock may be sold when it reaches a trailing stop, then selected again by the model on the following trading day. The proposed fix is to track…
The document outlines a simple technical signal concept that combines a detector for consecutive candles with relative strength index levels. The user-configurable settings are the number of consecutive candles required to qualify as a signal, an RSI…
The document describes a Chinese equity screen for companies in the metaverse theme, with a minimum circulating market capitalization and positive price-to-earnings ratio. It presents the positive PE condition as a basic profitability filter and the size…
The document introduces derivatives data views for examining options on IBIT and MSTR. It describes using long-dated at-the-money implied volatility and term structures with forward volatility to inspect how option pricing changes across maturities. It also…