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.
31,205 documents
This post outlines a Chinese equity screen combining daily price amplitude above 1%, total market capitalization no greater than 10 billion yuan, positive net profit over the latest four quarters, and circulating market capitalization above 10 billion yuan.…
This Chinese-language post describes a short-term stock screen that selects shares with turnover between 3% and 12%, a listing on the previous day’s trading榜, and an intraday amplitude above 1. It presents these as proxies for trading activity and price…
This post proposes screening Chinese stocks with a mix of recent trading activity, historical limit-up behavior, and fundamental filters. Its initial rules use today’s increase in position share above 5%, prior-day actual turnover between 3 and 28, and at…
The document presents a logarithmic Garman–Klass estimator that uses open, high, low, and close prices to estimate realized or historical volatility. It forms log returns for close-to-close, close-to-open, open-to-previous-close, and high-to-low moves. The…
The document describes a chart indicator built around a TimeZonePivots channel. It marks candlesticks that extend beyond the channel’s upper or lower limits, using candle colors to distinguish whether the move agrees with the prevailing trend. Trend-aligned…
This stock screen combines three conditions: a rising 30-day moving average, a 60-day moving average below 60, and convergence among the 20-, 50-, 100-, 200-, and 60-day averages. The post frames the five averages as short-, medium-, and long-term trend…
The document describes a MetaTrader indicator that marks five price-action concepts: breaks and changes in market structure, order blocks, fair value gaps, equal highs and lows, and buy or sell signals. Swing pivots use a configurable lookback; a break…
This A-share screening idea combines intraday market activity with a weekly trend condition. It selects stocks with amplitude above 1, current volume above 10,000 lots, a higher opening price, and a weekly five-period moving average crossing above the…
This post describes a stock screen restricted to a designated metaverse industry group. Within that group, it selects shares whose average price is above the five-day moving average and whose daily MACD is positive. The stated intent is to combine an…
This Chinese-language post outlines an equity screening idea that combines three signals: rank stocks by relative volume, require the 5-, 10-, and 20-day moving averages to be aligned upward, and look for a 15-minute MACD histogram that is shrinking while…
The document presents an indicator framework that combines nested swing detection, structural trend changes, Fibonacci retracements, and engulfing candlestick patterns. Short-, intermediate-, and long-term swings are used to identify increasingly significant…
The document describes a support and resistance indicator based on the prior candle’s high, low, and close. For daily levels, it uses the previous day’s candle and applies the resulting levels to charts below the daily timeframe; levels are recalculated each…
This stock selection concept combines moderate trading activity, recent price strength, and a technical trigger. It seeks stocks with turnover between 3% and 12%, at least one limit-up event in the preceding 25 days, and a newly formed KDJ golden cross. The…
This Chinese A-share screening idea combines three conditions: MACD above its zero line, share price below 12 yuan, and inclusion on the previous day’s Dragon-Tiger List. The article says screening is intended to run before 10 a.m. on each trading day. It…
This note describes a utility that trails an open position’s stop loss using Parabolic SAR on a selected timeframe. For a buy position, it considers moving the stop when the prior bar’s SAR is above the entry price and below that bar’s low. For a sell…
The document introduces John Ehlers’ Center of Gravity indicator as a finite impulse response filter applied to price, with a configurable calculation period. It presents the indicator as a low-lag tool for spotting potential turning points. The basic signal…
The proposed Chinese equity screen combines three conditions: a recent increase in reported holdings or inflow, a weekly five-period moving average crossing above the ten-period average, and at least two limit-up sessions during the past 500 days. The post…
The document describes a stock screen that selects shares with a prior-day price range above 1%, more than a year since listing, and prior-day turnover above 8%. It explains the intended rationale: range and turnover are treated as signs of activity, while…
This document proposes a Chinese stock screen using three signals: a high volume ratio, a rounded price pattern approximated through Bollinger Band contraction or expansion, and at least two limit-up events over 500 days. It describes ranking stocks by…
This document presents a screen for Chinese metaverse-related stocks using prior-day turnover, current trading volume, and a positive opening gap. Its stated final version adds market capitalization ranking and earnings filters: stocks should rank in the top…
This document outlines a short-term Chinese stock screen combining large price ranges, at least two limit-up events over a 500-day window, and recent net buying attributed to institutions. It gives example indicator conditions for each filter and a Python…
This stock screen looks for names with turnover in a specified range, three consecutive declining sessions, a following close above the prior three day highs, and two consecutive positive sessions. It combines a liquidity filter with a pullback pattern and a…
This stock screen selects equities with an amplitude above a threshold, excludes stocks that closed at the limit the prior day, and targets names whose daily percentage change falls within a narrow negative range. The stated rationale is that amplitude…
This tutorial introduces the M Language used in a trading platform to write indicators and trading logic for commodity futures and cryptocurrency contracts. It explains scalar and sequence data, numeric, string, and Boolean values, variable naming, and…