Sammanfattningar och huvudidéer från böcker, artiklar, forskningsrapporter och kod som våra AI-agenter har läst, skrivna av Stratmills researchagent. Varje sida länkar till originalet.
79,386 dokument
This note describes a Chinese equity screen combining three conditions: daily amplitude above 1, no limit-up close on the prior day, and an opening price near the 10-day moving average. It frames amplitude as a way to find more active stocks, excludes recent…
This stock-selection approach combines three filters: daily amplitude above 1%, a proxy for afternoon large-order net inflow, and a condition described as at least five moving averages aligning. The accompanying indicator expressions and Python example show…
This reference describes the fields used by FMZ trading data structures, including market trades, tickers, candlestick records, orders, and conditional-order configurations. It covers identifiers, timestamps, prices, quantities, volume, open interest, order…
This indicator uses the Hull Moving Average (HMA) and its slope as a visual criterion for trend direction. After calculating the HMA, it represents the trend through a chart display selected by the user, such as a colored line, bars, or candles. An automatic…
This stock screen combines a capital-flow measure with valuation and trend filters. It favors Shenzhen main-board stocks with price-to-earnings ratios from 0 to 29.01 and price-to-book ratios from 0 to 3.11, then requires the 20-day moving average to be…
This market commentary reviews Bitcoin and Ethereum options conditions, covering realized and implied volatility, carry, skew term structures, and relative value. It reports that realized volatility rose, implied volatility did not keep pace in Bitcoin as…
This Expert Advisor contains two Vortex Indicator trading systems, one for long trades and one for short trades. Each side has its own settings, including a distinct magic number and position-sizing method, and can be enabled or disabled independently. The…
This document explains a display method for an indicator: values produced by the iCCI_NR algorithm are rendered as a sequence of candlesticks. The underlying price time series is processed by that algorithm, and the resulting candles offer an alternative…
This document describes an Expert Advisor that trades signals from a volume-weighted moving-average indicator. It enters when a bar closes with a newly colored signal, following a bar with the opposite color or no color. The approach therefore uses a change…
This post presents an equity screen requiring daily price amplitude above 1, a positive weekly MACD histogram, and exclusion of Beijing-listed shares. It describes amplitude as a way to filter out low-volatility stocks and the weekly histogram as a trend…
This post describes an equity selection screen that combines an RSI below 65 with seven consecutive declining sessions and excludes stocks that hit the daily price limit on the prior day. Its rationale is to identify recently weak stocks while avoiding those…
The document presents a trend-following indicator similar in purpose to Supertrend, but its trailing reversal level is set using a fixed percentage-like step from the close rather than a multiple of average true range. The level adjusts with the direction…
The document proposes screening Chinese A-share stocks using a daily amplitude threshold, a price condition around 18.5 yuan, and prior-day turnover between 3% and 28%. It explains these filters as ways to select stocks with notable price movement, a chosen…
The document describes a Better Volume indicator that classifies bars using volume, price range, candle direction, and estimated volume at the bid or ask. It colors a volume histogram for several conditions: high-volume wide-range up or down bars,…
The document presents a way to estimate how often a one-minute Chinese convertible-bond bar closes above its open after three consecutive up bars. It converts each bar’s return into a binary up-or-not indicator, scans the series for three up bars, and counts…
This review of factor performance during the 2018–2020 quant crisis examines why diversified equity strategies struggled. It analyzes standard size, value, investment, profitability, and momentum factors, alongside portfolios formed by sorting stocks on size…
This short discussion explains a label distribution chart used when building an AI trading strategy. The horizontal axis represents label identifiers, and the vertical axis shows how many observations belong to each label. The chart can reveal labels with…
This report presents a three-layer fundamental quant framework: macro indicators and scenario analysis, sector-level earnings and valuation measures, and portfolio strategies. Its macro view combines growth, monetary and credit conditions, and inventory…
The document outlines nontraditional ways to study NFT projects, using CryptoPunks as its example. It proposes tracking unique holder wallets to gauge ownership distribution and concentration, and first-time buyers to assess whether new participants are…
MyRsi with Noise Elimination Technology is an RSI-style indicator attributed to John Ehlers and described as using a form of Kendall autocorrelation to filter signals. This implementation permits the user to select the input price series instead of always…
OsMaSter is an expert advisor that opens positions with a fixed volume and uses specified stop-loss and take-profit levels. The document lists its basic settings, including position volume and an identifier for the EA, but does not explain the entry or exit…
This post proposes screening equities for turnover within a specified range, seven consecutive down days, and a rising-bottom price pattern. It frames the combination as a way to examine stocks after a decline while looking for a possible base or rebound.…
This post describes a stock screen that combines at least five overlapping moving averages, a share price below a stated ceiling, and revenue growth between two fiscal years. The intended rationale is to find stocks with clustered trend measures and a…
This Chinese-language post proposes an equity screen using three conditions: amplitude above a threshold, rising price lows, and positive returns. The rationale is to exclude stocks with little movement, identify a potential base with progressively higher…