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.
12,303 documents
The screen targets Chinese stocks with a daily amplitude above 1%, appearance on the prior day's 龙虎榜 (top trading list), and more than two limit-up days in the previous ten sessions. It combines recent price movement, reported trading attention, and repeated…
This note proposes a simple ratio as a way to track changes in market volatility. It describes comparing a sum of price differences with an average based on summed price differences. The formula is stated informally, without defining the sampling window, the…
This stock selection example combines a daily price range filter with a calendar-year condition and a rising Commodity Channel Index (CCI) pattern. It first looks for a high-to-low range exceeding one percent of the previous close, restricts observations to…
This document proposes a Chinese equity screen combining prior-day price amplitude above 1, appearance on the trading leaderboard with purchases exceeding sales, and a connection to the metaverse theme. The rationale is that a larger daily range may identify…
This market recap describes how a sharp crypto decline affected BTC and ETH options. It reports rising realized volatility, a larger response in short-dated implied volatility than in longer maturities, and an inverted term structure after spot fell. The…
The indicator combines Kaufman’s Adaptive Moving Average with a statistical filter intended to suppress small changes. The adaptive average varies its smoothing speed according to price movement: it responds more quickly in directional conditions and more…
This note describes a stock-selection screen based on daily amplitude above 1, a positive weekly MACD histogram, and a ten-day return greater than zero but below 35%. The intended combination seeks stocks with active price movement, a positive weekly trend…
The proposed stock screen selects shares with MACD above zero, a positive price-to-earnings ratio, and an intraday high–low range greater than one percent of the previous close. The article interprets these conditions as combining upward momentum, a positive…
This proposed A-share screen combines price amplitude above 1, a dividend payout ratio above 25% for 2019, and membership in a short-term “reverse package” theme, a term the article does not define. The accompanying discussion frames these conditions as a…
This indicator method automates trendline drawing by locating pivot highs and lows, fitting separate linear regressions to those points, and iteratively retaining points on the relevant side of each fitted line. The resulting upper and lower lines aim to…
This article reviews global equity factor performance in the third quarter of 2021 and compares defensive factor positioning. It reports that momentum and low residual volatility led the pure factor results, while liquidity lagged. Regional index outcomes…
This article reviews global equity factor performance in the third quarter of 2021 and compares defensive factor positioning. It reports that momentum and low residual volatility led the pure factor results, while liquidity lagged. Regional index outcomes…
This chart indicator adapts the stochastic volatility concept to highlight periods when volatility is unusually low. It marks candidate bars with red lines in a separate indicator window and red candles on the price chart. The author suggests these periods…
The post proposes screening Chinese equities for elevated daily range, at least one daily gain of 10% or more during the past 25 trading days, and a pre-open price change below 6%. It then extends the screen with company and industry comparisons, including…
Liquidex_V1 is described as an educational automated trading system that seeks entries using a simple moving average and price range, then exits with a trailing stop. The account characterizes it as a very short-term approach and says it is intended for…
The document outlines an automated trading system for MetaTrader 5 that uses RSI thresholds to identify mean-reversion entries. Its default overbought and oversold levels are 80 and 20, and it detects threshold crossings as signals. An open position is…
This document presents two long-only trading systems built around the idea that price moves may continue when short-term momentum and average range accelerate relative to longer-term measures, while price direction agrees with a rising short moving average.…
This Chinese equity screening note combines three filters: daily amplitude above a stated threshold, a 2019 dividend ratio above 25%, and exclusion of STAR Market stocks. It argues that larger price ranges identify more volatile shares, while high dividends…
This indicator adapts a single-state Kalman filter using Kaufman’s Efficiency Ratio (ER). Each bar’s ER scales process noise between configured bounds: high efficiency increases the Kalman gain so the estimate follows directional price action more closely,…
This Chinese equity screen selects stocks with a daily trading range above 1%, a ten-day price gain above zero but below 35%, and no limit-up close on the previous day. The stated rationale is to find shares showing some recent movement and positive momentum…
This Q2 2023 report teaser examines Bitcoin and Ethereum options activity, volatility behavior, and the DVOL index. It describes a rules-based method for estimating trade aggressor direction using weighted heuristics, then discusses differences in spot and…
This document presents an adaptation of the Bollinger Bands Stops indicator for MetaTrader 5 that uses the Jurik Moving Average in its calculation. It describes two possible roles: identifying the estimated direction of the market as a trend indicator, or…
The document describes a revised Skyscraper indicator, which uses NRTR-style lines to represent trend relative to price. In the original version, volatility for the current bar is calculated using all earlier chart bars. As more bars accumulate, the…
This research digest summarizes three studies. The first compares earnings announcement returns (EAR), which capture market reactions to unexpected information in company results, with standardized unexpected earnings (SUE). It reports annualized long-short…