Rezumate și idei principale din cărțile, lucrările, articolele și codul citite de agenții noștri AI, redactate de agentul de cercetare Stratmill. Fiecare pagină trimite la sursa originală.
79,386 documente
The article describes a stock screen that excludes Beijing-listed shares, selects stocks with a daily high-low range above one percent, and applies a filter based on the prior day's turnover and the ratio of current opening-auction volume to the previous…
This stock selection rule screens companies in the metaverse theme for a closing price above the five-day moving average, trading volume above the stated threshold, and an opening price above the previous close. The article presents these conditions as a way…
The document explains how decentralized exchanges can use liquidity pools instead of a conventional order book. Liquidity providers deposit crypto assets into smart contracts, creating reserves that traders can exchange against. Automated market maker…
This article proposes screening stocks with turnover between three and twelve percent, displayed best-bid volume greater than best-ask volume, and a prior-day condition described as a 9:15 matched price at the daily limit-down. The first two filters are…
This article describes a stock-selection screen based on three conditions: a daily high-low range above a stated threshold, an opening price near the ten-day moving average, and at least five years since listing. The intended interpretation is that elevated…
This brief article presents ten questions about common assumptions in quantitative research. They concern whether researchers must be highly skilled in statistics, whether borrowed methods can be adopted without adaptation, and whether more variables, more…
This article outlines a Chinese equity screen for stocks in the metaverse sector. It combines bullish technical signals, including MACD and short moving-average crossovers, with a filter intended to exclude stocks that hit the daily price limit on the…
The proposed stock screen filters for amplitude above 1 and a closing price below 20, then ranks candidates by today's auction amount and selects the top five. The article also gives example indicator and Python logic, including a comparison of current and…
This document describes the implementation of a Non-Lag moving average indicator with ATR bands and an interactive chart panel. The panel can toggle the trend display, be moved, show selected internal values, and report indicator values for a bar chosen on…
This indicator marks the opening and closing periods of the Tokyo, London, and New York sessions beneath a price chart. It uses specified clock times to switch each market's display state on and off, then draws a labeled colored marker while that session is…
This stock screen combines three technical conditions: daily amplitude above 1, MACD above its zero line, and closing price above the five-day moving average. The document explains these as filters for price movement and recent upward direction, then gives…
The document presents a Chinese equity screen that requires a 14-period RSI below 65, a circulating market value between 5 billion and 10 billion yuan, and exclusion of Beijing-listed A shares. The example code applies these filters and, when enough…
The document describes a Chinese equity selection rule combining a daily range filter, afternoon large-order net inflow, and a score based on price change multiplied by a large-order volume measure. It ranks candidates by the resulting score and selects the…
This forum exchange concerns changing a Turtle-style CTA strategy from a fixed number of contracts to dynamically calculated trade size based on risk. A user reports editing the strategy code through a backtest interface but seeing results continue to use…
The document explains a Donchian Percentage oscillator that expresses the closing price as a percentage of its position between the channel’s lower and upper bounds. The bounds are the lowest low and highest high over a configurable lookback period. A…
The stated screen looks for stocks with turnover between 3% and 12%, a listing year of 2021, and ownership concentration below 20%. The article treats lower concentration as a sign of more dispersed ownership and suggests that the turnover band may help…
The screen selects stocks with turnover between 3% and 12%, beginning with the Chinese stock-code prefix 60, and keeps companies whose 2021 revenue exceeded their 2018 revenue by more than 10%. The article describes this as a way to combine trading activity…
This stock screen ranks companies by a measure of capital strength, such as net inflows or trading value, and requires at least two limit-up sessions within a 500-day window. The article frames the screen as targeting stocks with strong buying interest and…
This trading-platform script creates pending limit orders from horizontal chart lines named for entry, stop-loss, and take-profit levels. It supports up to four numbered orders. If an order omits an entry or stop-loss line, the script can inherit that level…
This page organizes a beginner-oriented quantitative trading curriculum and links to lessons and example strategy projects. The listed foundations include Python, pandas analysis, historical and financial data access, visualization, and DataFrame plotting.…
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…
This market snapshot discusses three digital-asset themes: institutional Bitcoin adoption, prospective uses for autonomous AI systems in decentralized finance, and tokenization of real-world assets. Its Bitcoin analysis describes a sharp rise above $100,000…