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
The document compares two crypto prop firms across evaluation formats, account sizes, profit splits, payout terms, trading constraints, execution venues, and regional access. Its main practical lesson is that the headline split is only one part of the…
This Chinese community post proposes a daily A-share screen based on recent net buying, prior-day trading value, and company size. The stated idea is to find smaller companies with positive buying activity and sufficient liquidity, while also describing the…
This document describes a chart dashboard that calculates the recent high and low over a configurable number of bars, displays those levels, and labels price as within the range or beyond it. A confirmation buffer is intended to filter small excursions that…
This Chinese stock-screening note builds a watchlist using three conditions: daily price amplitude above 1%, at least one limit-up event in the preceding 25 days, and an opening move smaller than 6% in absolute terms. The stated rationale is to seek stocks…
This Chinese stock-screening note selects shares with turnover between 3% and 12%, a positive 10-day gain below 35%, and a 10-day RSI below 65. It presents the screen as a way to find actively traded stocks with recent gains while filtering out more…
This article describes an equities screen built from three conditions: price amplitude above a threshold, circulating market value as a share of total market value within a specified range, and the 20-day moving average above the 120-day average. It frames…
This brief assignment reflects on translating discretionary investment ideas into a quantitative process. The author cites assessing future demand for a company’s product, with examples involving a stablecoin business in the context of US Treasury pressures…
This document presents a Chinese stock screen combining three conditions: daily price amplitude above 1, a current-day control measure above 21, and prior-day trading value above 60 million. It describes amplitude as a volatility filter, the control measure…
This market report reviews Bitcoin and Ether volatility, options pricing, dealer exposure, derivatives positioning, and macro catalysts. It describes implied volatility and realized volatility as compressed, with flat or contangoed term structures, a marked…
This note describes a chart indicator that marks each week's opening price with a horizontal line and adds optional long and short target levels above and below it. Traders can use the targets to visually gauge historical weekly ranges and compare current…
This note describes a Chinese equity screen for stocks classified in the metaverse theme, with circulating market capitalization above 10 billion yuan and more than three years since listing. It presents the listing-age threshold as a way to favor companies…
This note outlines a daily Chinese stock screen run before 10 a.m. It looks for shares priced below 12, a MACD condition above zero, and a rising alignment among the 5-, 10-, 20-, 30-, and 60-day moving averages. The intended signal combines a price ceiling…
This note describes a Chinese equity screening rule that combines daily price amplitude above 1, a positive weekly MACD reading, exclusion of ST-designated stocks, and five consecutive limit-up sessions. It says to run the screen before 10 a.m. and provides…
This expert advisor begins by opening opposing positions with the same initial lot size, each protected by a stop loss and managed with trailing-stop settings rather than a take-profit target. The author’s logic treats a losing stop-out as evidence of a…
This document describes a revised RSI-based Expert Advisor. It buys when RSI enters an oversold zone and sells when RSI enters an overbought zone. The advisor processes each market tick and allows the user to enable buying, selling, or both. It maintains at…
The author describes paying to rent several crypto trading strategies and losing money on most of them. A platform strategy reportedly made money earlier, while a more recent funding rate approach stopped working as futures and spot prices converged. These…
This Chinese-language FAQ compiles practical guidance for building and operating strategies on FMZ. It covers exchange API behavior, order and position handling, market and limit orders, contract sizing, rate limits, timestamp synchronization, and common…
The document describes an MT5 reporting script that groups account history by magic number and currency, with optional date filters and CSV export. It outlines measures including profit after swaps and commissions, win rate, time-weighted return, profit…
This Chinese stock-screening proposal combines three filters: at least five moving averages converge, the stock has had more than two limit-up days in the past ten days, and candidates are ranked by market attention. The explanation interprets moving-average…
This A-share stock screen combines a daily turnover range of 3% to 12% with a listing on the previous day’s Dragon-Tiger List, an afternoon large-order net inflow, and more than a year since listing. The document presents these filters as ways to incorporate…
This Chinese-language post describes an equity screen for stocks in a metaverse-related industry group. It requires the closing price to be above its five-day moving average and the combined holdings of the five largest institutions to exceed 70% of total…
This post describes a Chinese equity screen combining three conditions: daily price amplitude above 1%, a reversal or engulfing-style pattern, and a positive current return. It gives indicator-formula and Python examples for applying the conditions, then…
This product description presents an automated strategy that combines a fast and slow moving average crossover with MACD confirmation. The crossover is used to identify possible trend changes, while the MACD line, signal line, and histogram are described as…
This document outlines a Chinese equity screen that combines a price movement threshold, a market capitalization ceiling, positive net profit, and a candle pattern intended to identify the start of a strong advance. The formula and Python example implement…