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
The podcast account follows Jake Ostrovskis’s move from global macro trading into crypto OTC markets. It describes his focus on fair value and volatility dislocations, and the OTC desk’s role in arranging large or tailored trades across spot, options, CFDs,…
This document is a brief summary of an A-share quantitative market-timing report titled around the possibility that a lower open can offer an opportunity. It reports contemporaneous observations on sector strength, index valuations, sector relative…
This A-share selection rule combines three conditions: a daily range above 1%, weekly MACD above zero, and at least two limit-up events within a 500-day lookback. The document presents repeated limit-up moves as a possible sign of strength, with the range…
This stock selection rule screens for A-shares with a daily high-low range above 1% and turnover between 2% and 9%. It combines a volatility measure with trading activity and a market classification filter. The document also sketches an implementation using…
This research summary surveys dynamic allocation methods for equity style factors. It organizes the approaches by whether they use return information, risk information, or both, adapting methods originally used in broad asset allocation. The study first…
This document explains how to combine absolute, time-series momentum with relative, cross-sectional momentum in a multi-asset portfolio. It describes a unified portfolio framework that treats each pair of instruments as a relative-momentum opportunity,…
The Math-System indicator presents a set of target support and resistance levels for an anticipated price move. The document points readers to related Murrey Math indicators, placing this tool in a family of chart-based level systems. It states that the…
The article describes an equity screen combining three conditions: membership in the metaverse theme, a prior-day close above the 250-day moving average, and a rising-bottom pattern. It explains the latter as a retest after a decline and rebound, where the…
This indicator visualizes a volume-weighted moving average as a cloud that fills the chart background. The moving average acts as the boundary separating the cloud’s colors, providing a visual reference for price movement around the average. It also displays…
This report compares several Chinese language models as assistants for discovering equity liquidity factors over a specified historical period. Each model proposes data inputs and a formula built from trading volume, turnover, amount, or price. The author…
This weekly report assesses the Chinese equity market after a rebound in early June 2022. Its timing framework compares 20-day and 120-day moving averages for a broad market index and combines their distance with a market breadth or “profit effect” measure.…
This article proposes six checks to run before deploying a strategy that has performed well in historical backtests. It recommends perturbing data with delays, missing observations, and outliers; scanning core parameters for broad regions of acceptable…
This Freqtrade strategy example applies an Almgren–Chriss style execution schedule to position entries and exits. It estimates a parameter called kappa from rolling price variability, candle range, and volume, using it to shape the fraction traded in each…
This brief Chinese-language forum answer addresses how to use the data parameter in a quantitative trading workflow. It notes that scheduled functions receive both data and context as inputs, pointing readers toward the platform documentation for details.…
This document describes a MetaTrader 5 version of EMA Levels that can display indicator values from timeframes other than the active chart. It supports the platform’s timeframes and offers automatic second- and third-higher-timeframe choices that adjust when…
This post proposes screening stocks in the metaverse industry using two conditions: price or average price above a five-day moving average, and prior-day auction turnover above 0.26. It interprets the moving-average condition as a short-term upward trend and…
This market snapshot links macroeconomic conditions with Bitcoin and Ethereum developments. It discusses strong US employment data and Federal Reserve expectations, compares reported outflows from Bitcoin ETFs with steadier Ethereum ETF flows, and reviews…
This Chinese-language post presents an A-share screening rule that combines a 14-period RSI below 65, a ratio of outside-market to inside-market trading above 1.3, and a volume ratio between 1.5 and 6. It frames the order-flow ratio as a proxy for buying…
This document describes an event-driven long strategy that combines corporate repurchase announcements with upcoming earnings dates. It screens US-listed stocks, excludes the smallest market-cap quartile, and looks for buyback announcements of at least 5% of…
This Chinese stock-selection strategy filters for an RSI below 65, circulating market capitalization between 5 billion and 10 billion yuan, and prior-day turnover above 8%. The accompanying Python example calculates a 14-period RSI, applies the three…
NDuet combines moving averages with a semaphore signal to guide trade timing. The two moving averages use different periods to define trend direction, while the semaphore indicator identifies a possible point to enter or settle a trade. The description says…
This document summarizes a Chinese research report on measuring listed companies’ technological innovation capacity. It identifies factor construction and testing by industry as a central topic, alongside building an enhanced portfolio for a strategic…
Super SAR combines Parabolic SAR direction changes with SuperTrend confirmation. Green or red arrows indicate a potential entry when SAR changes position and SuperTrend agrees. A gray arrow marks an SAR direction change without SuperTrend confirmation,…
This indicator summarizes trend direction across seven Blau stochastic indicators set to different timeframes. Each indicator is represented by a line whose color reflects whether its histogram is rising or falling: dark lime for growth and orange for…