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.
16,761 documents
The document proposes a stock-selection screen for Chinese A-shares. It combines daily price amplitude above one percent, a historical filter for 2021, and an auction-price return between negative two and positive five percent. The selected names form a…
This Chinese-language post proposes an A-share stock screen that combines a technical condition with earnings growth and dividends. It selects stocks with RSI below 65, year-over-year growth in net profit attributable to parent-company shareholders above 20%…
This research surveys how several forms of Chinese Level 2 market data can support equity signals: minute bars, order-book snapshots and queues, and transaction-level records. It describes factors based on intraday return shape, downside variation,…
This research describes a bond-fund selection method built around return attribution. It expands the Campisi framework—which separates income, government-rate, credit-spread, and security-selection effects—with convertible-bond and monetary-policy effects.…
This repository overview introduces a collection of systematic trading approaches, including moving-average momentum, cointegration-based pairs trading, candlestick signals, and an opening-range breakout. It also points to projects in options, portfolio…
The FinRL data layer is presented as a unified processor for accessing market data from multiple APIs, cleaning it, and extracting features. Users specify a date range, stock list, interval, and other parameters. The document distinguishes missing…
TDSGlobal is described as an Expert Advisor that combines MACD, OsMA, and Williams Percent Range (WPR) indicators. It is configured for daily charts and four currency pairs: USDCHF, GBPUSD, USDJPY, and EURUSD. The document identifies the idea’s collector…
This discussion explains a mismatch in which a simulated trading run produces no signal even though a backtest does. The reported cause is a SQL query using a one-row lead on closing prices. At date t, that field requires the closing price from t+1, which is…
This post describes a revised rolling machine-learning training workflow, reporting that its code was reorganized for clarity, model parameters were adjusted, and memory monitoring was added. The author says the parameter changes increased backtest speed…
This stock selection rule combines a daily range condition, an RSI ceiling, and three simultaneous moving-average crossovers. The range must exceed one percent, RSI must be below 65, and the 5-, 20-, and 60-period moving averages must cross upward in the…
This introductory page presents FinRL as a framework for applying deep reinforcement learning to stock trading. It directs readers to a sequence of example notebooks covering data preparation, model training, and backtesting, framing them as a way to follow…
This document describes an Expert Advisor that trades signals from the Color TSI oscillator. It generates a signal when a bar closes and the indicator’s cloud changes color. The EA depends on a separately compiled indicator file, and the text mentions a…
This example organizes daily decisions across leveraged sector and broad-market ETFs using separate AI agents for technology, financials, healthcare, energy, and consumer-related groups. Each sector pod is instructed to consult recent news and macroeconomic…
This guide outlines a workflow for preparing a factor research report for a quantitative trading competition. It recommends generating factor data, then using BigQuant’s FactorLens v4 to calculate single-factor results. The platform returns ranking metrics…
This text introduces market efficiency as a contested idea whose meaning shapes how investors approach investing and valuation. It says the chapter offers a basic definition and considers what efficient markets would imply for investors. It also points…
This indicator studies whether price tends to rise or fall on the bar after a run of consecutive candles with the same direction. It measures runs from one to twelve candles and simulates a long position entered at the close of the run and exited one candle…
This Expert Advisor uses three moving averages to generate directional entries. A long setup requires the fast average to cross above the middle average while both faster averages remain above the slow average across the current and prior bar comparisons.…
This short forum post asks whether a linear equity strategy can compare a stock’s ranking when purchased with its current ranking and sell after sufficient deterioration. The example uses a small-capitalization strategy holding ten stocks: a stock bought at…
This monthly review evaluates equity factors using information coefficient (IC) relationships with subsequent prices and market- and industry-neutral long-short returns. It reports that growth and turnover factors were relatively consistent over the latest…
This document describes an Expert Advisor that trades signals from the TimeZonePivotsOpenSystem indicator. A signal is generated when a bar closes after price breaks through the indicator’s channel, so entries are based on confirmed bar closes rather than…
The document describes a Chinese stock selection screen that combines a turnover-rate range, a listing-year condition, and the presence or absence of an outstanding convertible bond name. Its stated final rule selects stocks with turnover between 3% and 12%,…
This Chinese A-share stock screen combines a metaverse industry filter with two activity signals: a stock must have appeared on the market’s “Dragon-Tiger” list the previous day, and its count of institutional research visits over the past week must rank…
The document outlines a Chinese equity screen for stocks in the metaverse sector, using circulating market capitalization and historical returns as filters. Its initial description says to require market capitalization above a stated threshold and positive…
This guide explains how Hummingbot organizes automated trading into executors, scripts, controllers, and a market data provider. Executors handle a bounded order workflow, including placing, managing, and closing orders. Scripts run continuously and suit…