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.
79,386 documents
This Backtrader example demonstrates how to monitor portfolio drawdown while running a simple moving-average crossover strategy. It calculates a 15-period simple moving average and uses a crossover between closing price and the average to generate buy and…
This report summary describes an index-timing model that applies wavelet analysis to filter price series before using a support vector machine to predict direction. It compares daily and weekly data and different model settings for the Shanghai Composite and…
This document describes a Chinese equity screen for metaverse-related stocks. It combines a volume-ratio range with a morning-star candlestick signal, and also discusses adding market capitalization and other filters. The accompanying explanation frames the…
This research summary introduces the “Huayin Linjian” factor as a way to identify A-shares that may be undervalued because their prices have not been strongly driven by information-related trading pressure. Its stated premise separates price movements into…
This post presents an equity screen that selects stocks with a daily high-low range above one unit and return on equity above 15% in each of the previous five years, then ranks candidates by the day’s auction amount and keeps the top five. Its proposed…
This Chinese-language post proposes screening A-shares associated with the metaverse theme when they appeared on the previous day’s trading alert list and the five-week moving average crosses above the ten-week average. It describes the conjunction of an…
This guide explains a strategy-level indicator accessor for calculating technical indicators using only market data available at the strategy’s current time. It describes built-in single- and multi-column indicators, Fibonacci retracement levels, and custom…
This brief strategy outline combines a machine-learning stock ranking model with market-level and individual-stock exit rules. It proposes training a StockRanker on price, volume, and valuation factors, then applying three conditions to the CSI 300 index as…
This product description explains an MT5 chart indicator for estimating pip value and position risk. For the current symbol, it displays the pip value of one standard lot in the account’s currency and accommodates different quote precisions and several asset…
This tutorial demonstrates a workflow for evaluating WorldQuant Alpha#100 on Chinese equities. It builds the factor from price and volume signals, including the close’s position within the daily range, the relationship between closing price and ranked…
The article explains two tools for assessing cryptocurrency volatility. Bollinger Bands place an upper and lower standard deviation band around a moving average; widening bands indicate greater volatility, while contracting bands suggest quieter conditions.…
The document outlines a stock selection screen combining three conditions: daily price amplitude above a threshold, afternoon large-order net inflow, and a weekly close crossing above a 30-week moving average. It then says to select the strongest-gaining…
This document describes a version of the XCCX standard deviation indicator that lets the user select the timeframe used for its calculations. The example input sets the indicator to a four-hour period, while leaving the chart timeframe as a separate choice.…
The document outlines a stock screen requiring a 14-period RSI below 65, a favorable company type, and an opening move of less than 6% in absolute terms relative to the previous close. It frames the RSI condition as a way to avoid highly elevated readings…
The document explains a position-sizing function that estimates lot volume from a chosen percentage of account balance and the distance to a stop loss. Its stated calculation first converts the risk percentage into an account-currency risk amount, then…
This webinar overview summarizes a macro discussion about high debt-to-GDP levels, central-bank balance-sheet expansion, and geopolitical risk as forces that may weaken confidence in fiat currencies and encourage interest in Bitcoin. The speakers compare the…
The document describes a Chinese equity screening rule that combines metaverse industry classification, a positive institutional-flow signal, and year-over-year growth in net profit attributable to parent-company shareholders above 20% and no greater than…
The indicator constructs a central reference and four resistance and four support levels from the previous day’s high, low, and close. The previous close serves as the central pivot. Each surrounding level offsets that close by a fraction of the prior…
This stock screen combines three signals: price amplitude above a stated threshold, a condition described as upward divergence in the day’s moving averages, and afternoon large-order net inflow. Its rationale is to pair price movement and trend information…
The screen targets Chinese A-share stocks with an RSI below 65, seven consecutive sessions meeting a bearish-candle condition, and an intraday low between 4% and 5% below the reference price. A later version adds a circulating market-value range of 5–200…
This indicator estimates how far price traveled across both the regular session and the overnight gap. It starts with twice the high-to-low range, subtracts the absolute open-to-close change, then adds the absolute difference between the current open and the…
The post proposes a Chinese equity screen combining three criteria: a 14-period RSI below 65, membership in the beverage and alcohol import-export industry, and market capitalization of at least 200 million. It frames RSI as a technical condition and…
A user asks why XTP subscription data in a simulated account appears several hours old and updates only intermittently. The response explains that the XTP simulation environment does not provide live market quotes. This distinction helps clarify why a…
The document explains HODLing as buying cryptocurrency and retaining it through short-term price swings. It recounts the term’s origin in a 2013 Bitcoin forum post and presents the approach as a long-term commitment. Its practical suggestions include…