Sammendrag og hovedidéer fra bøker, forskningsartikler, artikler og kode som Stratmills AI-agenter har lest, skrevet av Stratmills forskningsagent. Hver side lenker til originalen.
79,386 dokumenter
This essay presents a framework for improving investment judgment through varied mental models rather than relying on one familiar way of thinking. It recommends learning core ideas from several disciplines, using an investor-specific checklist, and applying…
This document describes an indicator that applies a Supertrend calculation to RSI values rather than directly to price. It calculates RSI, smooths it with a moving average, and uses an ATR-style range and configurable trend factor to form upper and lower…
This research summary studies Chinese home appliance industry conditions using revenue and net profit growth as proxies, arguing that calculations on comparable constituents reduce distortions caused by changes in the historical stock universe. It frames…
The indicator evaluates a family of AbsolutelyNoLagLwma smoothed price series across periods generated by an arithmetic progression. At each update, it determines the direction of each smoothed series, counts positive and negative directions, and smooths…
This stock selection proposal combines daily price amplitude, a measure of controlling-shareholder activity, and net buying by major participants during the opening auction. Its expanded version also requires the share price to be above its 30-day moving…
SVAPO combines smoothed price movement and volume to gauge short-term directional pressure. The method derives a Heikin-Ashi-style price series, smooths it, and compares it with a volume trend. Volume is capped relative to a recent average before being…
This stock strategy uses changes in a modified Directional Index to switch between long and short bias. A local turn in the indicator sets the desired direction; entry is then permitted only when the close is on the corresponding side of a moving average,…
The proposed Chinese equity screen combines three filters: a 20-day moving average above the 120-day average, positive institutional net buying relative to float, and a daily position increase exceeding 5% of the stated comparison amount. It presents these…
This MQL5 library controls when an Expert Advisor processes incoming ticks. At startup it reads or constructs trading-session schedules for each day of the week, supporting up to ten sessions per day. The example creates a session-control object for the…
This Chinese equity-screening idea selects stocks with amplitude above 1, a rounded price pattern, a robotics-sector classification, and circulating market value below 10 billion. The text interprets the amplitude condition as targeting active shares, the…
The document describes a Chinese equity screen combining an amplitude threshold above 1, a MACD condition above the zero axis, and a short-term MACD histogram change. Its analysis emphasizes volatility alongside a bullish momentum backdrop, with the…
The Ehlers Filter is presented as an indicator for following the common price trend and trading in its direction. It exposes three settings: the period used for smoothing, the momentum lookback, and the applied price series. Its calculation takes moving…
This A-share screening concept combines a daily price-range threshold, circulating market capitalization above 10 billion yuan, and simultaneous upward threshold crossings in RSI, ROC, and CCI. The examples define the crossings as RSI moving above 30, ROC…
This A-share screening rule selects stocks with turnover between 3% and 12%, an IPO year condition, and a ratio of outside-market to inside-market trading above 1.3. The article describes the listing-year condition as 2021, while its Python example appears…
This Chinese A-share stock screen combines a daily range condition, a specified closing price, and a check that the previous session was not a limit-up day. The article’s prose describes the closing-price threshold as 18.5 yuan and the range as greater than…
This indicator variation aims to reduce false or excessive signals from a stochastic oscillator. It applies a step chart filter to the calculated stochastic: a user-set step size determines the minimum change treated as significant, and changes in the step…
This note describes a short-term screen for metaverse-themed Chinese stocks that appeared on the prior day’s Dragon-Tiger list and whose daily price change multiplied by the net volume of very large orders is positive. The intended signal combines a public…
This note proposes screening metaverse-themed Chinese stocks for a curved price pattern and more than two limit-up sessions within a 10-day window. It frames repeated limit-ups as a sign of strong recent price action and includes example formulas for…
This note describes a Chinese A-share screening rule for stocks classified in the metaverse theme. It selects stocks with turnover above 8% on the prior day and a 14-period RSI below 65, aiming to find actively traded shares that are not extremely…
This note outlines a Chinese equity screen that selects stocks with turnover between 3% and 12%, excludes Beijing-listed shares, and requires a measure described as today’s control concentration to exceed 21%. It argues that concentrated ownership may be…
This note describes a Chinese equity screen using three conditions: amplitude above 1, a KDJ value below 20, and at least one daily gain of 10% or more during the previous 25 trading days. It sketches implementations in a charting formula and Python, using…
This Chinese equity screen selects stocks with RSI below 65, turnover between 3% and 12%, and a rising 30-day moving average. It combines a momentum or price-condition filter with a liquidity range and a trend condition, with the stated aim of favoring…
This MetaTrader expert advisor applies a simple perceptron to three forex symbols: EURUSD, GBPJPY, and AUDNZD. At a synchronized new bar, it evaluates selected values from the Acceleration/Deceleration oscillator and combines them with four parameter-derived…
This Chinese equity screening rule combines a daily turnover range of 3% to 12%, appearance on the prior day’s trading leaderboard, and buy volume from large and extra-large orders during the opening auction above 7 million. The stated rationale is to use…