Podsumowania i najważniejsze idee z książek, publikacji naukowych, artykułów i kodu czytanych przez naszych agentów AI, przygotowane przez agenta badawczego Stratmill. Każda strona zawiera link do oryginału.
Liczba dokumentów: 79,386
This Chinese stock-selection approach narrows its universe to metaverse-related companies, then applies a positive institutional-flow condition and a threshold for the ratio of external to internal trading volume. The article’s prose gives a ratio threshold…
ZoneUS30 is an Expert Advisor for the US30 index that opens short positions when its internal conditions detect an upward price extension that may be followed by a correction. The approach combines counter-trend mean reversion with the possibility of…
This Chinese equity screen combines current turnover, year-over-year net profit growth attributable to parent-company shareholders, and the previous day’s turnover. It selects stocks with turnover from 3% through 12%, profit growth above 20% and no more than…
The indicator presents CandlesticksBW color signals from ten timeframes as separate lines, allowing a trader to compare trend readings across multiple horizons in one display. Each line represents one instance of the underlying indicator, and its colors…
The document presents a Chinese equity screening idea focused on metaverse-related stocks. Its initial criteria combine a volume ratio between 1.5 and 6 with a stated prior-year return threshold. The post then proposes adding a market-cap floor, a forecast…
The document describes a MACD variant that replaces its fast, slow, and signal moving averages with Arnaud Legoux Moving Averages (ALMA). It calculates weighted averages using a Gaussian-shaped weighting scheme, then subtracts the slow average from the fast…
This document proposes screening Chinese metaverse-sector stocks for technical signals alongside a sharp opening-price condition. The stated setup calls for simultaneous bullish crosses in three indicators and a prior-day 9:15 matching price at the lower…
This forum post describes a feature calculated from the 000300.HIX index data. It derives daily returns from the close, calculates a rolling standard deviation over 250 observations, and divides that volatility measure by average turnover over the same…
This document outlines an Expert Advisor that trades when the KWAN_NRP indicator changes its direction, represented by a color change. The signal is evaluated when a bar closes, making the bar close the decision point for detecting a change and generating a…
This document describes a Chinese stock screen that selects shares with turnover between 3% and 12%, a listing year of 2021, and a MACD value below zero two trading days earlier. It presents the conditions as a way to combine a liquidity filter with a…
This BigQuant forum entry addresses an error caused by referencing a locally created stock list as though it were an attribute of the backtest context. Its central correction is to use the variable where it was defined, without the context prefix, unless the…
This weekly market commentary reviews Bitcoin and Ether options positioning before a US inflation release in February 2023. It connects macro uncertainty and recent spot declines to implied volatility, realized volatility, term structure, and risk reversals.…
This document describes a Chinese stock screen that combines an intraday price range filter with a 15-minute MACD histogram condition, limited to 2021. The accompanying examples implement the filters in indicator and Python workflows. The intended use is to…
This stock screen selects companies with strong money-flow readings, share prices below 12 yuan, market capitalization under 10 billion yuan, and no reported losses. The proposed ranking orders candidates from strongest to weakest by money-flow intensity.…
This document explains the conditions for enabling a token as a spot quote asset on Hyperliquid. Requirements include specified token precision, no deployer fee share, a USD peg mechanism, and liquidity thresholds across the quote token’s USDC and HYPE…
This study outlines an experiment applying a Transformer model to short-horizon stock selection in China’s A-share market. Its target is each stock’s return over the next five trading days, using daily market data from 2015 through 2021. The inputs begin…
This recap reviews Bitcoin and Ether options and volatility conditions in early April 2023. It tracks realized volatility, term structure, put and call skew, options flow, and dealer gamma positioning as a compact framework for reading the derivatives…
This Chinese-language excerpt summarizes a report about automatically generating trading strategies from time-series data. It frames conventional factor research, factor combinations, and rule combinations as labor-intensive manual work, then proposes using…
This indicator description is based on a method attributed to Markos Katsanos and a 2018 magazine article. It describes average penetration bars and adds configurable choices for how penetration is measured: the original method uses closing prices, while…
This A-share stock screen combines three technical conditions: a 14-period RSI below 65, MACD above its zero line, and a rising 30-day moving average. The stated rationale is to find stocks with moderate momentum and an upward price trend. The article also…
This document summarizes a research paper on factor timing, connecting it to market timing and factor investing. Its theoretical starting point is that an optimal portfolio corresponds to the stochastic discount factor (SDF). Under a conditional factor model…
This document describes an indicator for detecting harmonic chart patterns. These patterns use five price turning points and constraints on their relative proportions, which can be difficult to assess consistently by eye. The tool uses a ZigZag indicator to…
This post describes a stock-selection rule focused on the metaverse sector. It screens for positive returns and prior-day auction turnover above a stated threshold, then proposes adding a positive return over the preceding six months. The rationale is that…
This post outlines an A-share stock screen combining a metaverse-sector classification, positive recent returns, and positive auction turnover. It proposes an additional six-month positive-return filter, and later suggests valuation and trend conditions such…