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
This brief description outlines a trading expert advisor that uses mean reversion, price-action boundaries, and a moving average to orient trades with the broader trend. It also says the tool exposes settings such as lookback periods, RSI thresholds, and pip…
This Chinese stock-screening strategy combines a turnover range of 3% to 12%, at least one limit-up event in the prior 25 days, and positive net buying by major participants during the opening auction. The article presents a screening expression and a Python…
The document presents an intraday CAC 40 strategy on 15-minute bars. At 09:30, it takes a long position if a MACD calculated over a window scaled to represent 14 hours is rising, or a short position if the MACD is falling. It closes positions at 21:45 and…
The document describes a Chinese equity screen combining a daily price range above 1%, a condition that the prior session was not limit-up, and a recent three-session rise. It presents the screen as a way to find volatile stocks with positive price momentum…
This podcast account follows Michael Dunn’s move from fixed-income and equity trading into crypto derivatives and Bitnomial’s effort to build a regulated U.S. exchange and clearing infrastructure. It describes exchange components such as matching engines,…
The document explains a strategy lifecycle method that runs when strategy execution is interrupted. It presents the hook as a place to stop trading gracefully, with selling all assets given as an example action. A brief Python example defines the method on a…
The document presents a proposed one-minute crypto strategy using moving-average crosses to open and close long or short positions. Long entries require a fast-over-slow cross alongside upward slope and alignment filters; short entries reverse those…
The document describes a Chinese equity screen combining daily price amplitude above 1%, membership in a robotics concept group, circulating market capitalization below 10 billion yuan, and a six-period RSI below 65. It gives example implementations in…
This Chinese market stock screen combines a technical momentum or condition filter with trading-flow and valuation criteria. It selects Shenzhen main-board stocks with RSI below 65, positive product of percentage price change and net super-large-order…
This five-minute crypto strategy combines entry conditions drawn from two named Bollinger Band approaches. One setup looks for a sharp downward move below a 40-period lower band, with price change, candle tail, and closing-price conditions used to qualify…
This document describes an expert advisor that detects price gaps on a selected timeframe and opens a position according to the gap's direction. A newly formed bar triggers the check; the measured gap is compared with a configurable threshold before the EA…
This indicator plots price levels associated with earlier Parabolic SAR switches, aiming to reveal areas where price may reverse or where a trader may reassess a position. Its settings are described as optimized especially for hourly and four-hour charts,…
Dual Thrust is described as a trend-following system that defines a recent trading range using the larger of two spans: the highest high minus the lowest close, or the highest close minus the lowest low, over a lookback period. The system places an upper buy…
This document describes a forex Expert Advisor that combines MACD and Stochastic indicators. It limits entries to one position per bar and uses three configurable time windows to determine when entries may occur. Its settings include an option to disable…
This short response outlines basic risk controls at both the individual-stock and broad-market levels. For a stock position, it suggests monitoring profit and loss and using risk indicators to trigger an exit, with moving-average crossovers and a multi-day…
The document examines how factor exposure limits in a multi-factor portfolio optimization model affect active returns and risk. Raising the caps can increase excess return, drawdown, and tracking error, so the change in return relative to the change in risk…
The Expanded Cloud is a trend indicator built around a rolling highest-high and lowest-low channel. Two adaptive bounds expand or contract in response to changes in that channel, moderated by a reactivity setting. The indicator identifies bullish and bearish…
This Python module provides utilities for evaluating systematic strategies and constructing several trend signals. It computes annual return and volatility, Sharpe and Sortino ratios, downside risk, maximum drawdown, Calmar ratio, positive-return frequency,…
This Chinese-language post describes a stock selection screen built from three conditions: rank stocks by volume ratio and keep the top 500, require at least two limit-up sessions within the past 500 days, and require the 30-day closing-price trend to point…
This stock screen restricts candidates to the metaverse industry, then selects shares whose turnover rate two trading days earlier fell within a specified band and whose current low is below the previous day's low. The article interprets turnover as a sign…
The article explains stablecoins as crypto assets designed to track another asset, usually the US dollar, and distinguishes reserve-backed tokens from algorithmic designs. Reserve-backed tokens depend on the issuer holding assets intended to support…
This stock selection method combines a daily range filter with sustained positive large-order net volume and a positive five-day price bias. Its intended effect is to find shares with active buying and prices above their recent average. The article gives…
This proposed Chinese equity screen looks for stocks with daily amplitude above a threshold, signs of main-fund control on the prior day, and an opening price near the ten-day moving average. The stated rationale is to find active stocks whose opening prices…
The document outlines an A-share screening rule combining daily price amplitude, market capitalization, recent profitability, and relative trading volume. Its refined criteria call for amplitude above 1%, capitalization below 10 billion yuan, positive net…