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Dokumentumok száma: 79,386
This forum exchange addresses a failed manual source installation of VeighNa, where the user reports that dependencies are installed but running the launcher produces no visible response. The reply explains that the one-click installer includes the packages…
This proposed Chinese equity screen combines a robotics industry classification with a small circulating market capitalization, a price range condition, and a morning star candlestick pattern. The article presents the conditions as a way to find smaller…
This document describes a Keltner-based candlestick indicator with an optional breakout display. Its color signals can mark either moves beyond overbought or oversold levels, or breaks through the Keltner channel boundaries, depending on the selected input…
This A-share screening recipe combines price movement, past limit-up events, and a weekly moving-average crossover. It seeks stocks with an amplitude above 1%, at least two limit-up events within 500 days, and a five-period weekly moving average crossing…
This Chinese A-share stock screen combines a technical condition with fundamental growth and liquidity filters. It selects stocks with RSI below 65, parent-company net profit growth above 20% and no more than 100%, and prior-day trading value above 60…
The Trend Analysis Index is presented as a simple trend indicator attributed to Adam White. It uses four configurable inputs: the moving average period, the moving average calculation method, the period over which trend values are assessed, and the applied…
This paper compares machine learning methods for forecasting equity returns across the market time series and the cross section of stocks. It frames risk premium measurement as a prediction problem and describes how high-dimensional predictors,…
This Chinese stock-selection rule focuses on companies classified in the metaverse sector. It calls for three technical indicators to cross upward simultaneously and constrains recent price change to a band from −5% to 2.6%. The named indicator conditions…
This code excerpt describes two operations used in a cointegration-based statistical arbitrage workflow. The first multiplies each asset’s price series by the corresponding coefficient in a cointegration vector and sums across assets, producing a portfolio…
This Chinese A-share screening rule selects stocks with turnover between 3% and 12%, a positive product of the day’s price change and net large-order volume, and prior-day trading value above 60 million. The document presents these conditions as a way to…
This post proposes screening Shenzhen main-board stocks for daily price amplitude above one percent, a newly formed KDJ golden cross, and specified price-to-earnings and price-to-book ranges. It describes the crossover as a possible sign of improving…
This post outlines a Chinese equity screen that ranks stocks by funding strength, looks for a weekly five-period moving average crossing above a ten-period average, and filters for an opening gain below six percent at 9:25. The proposed rationale is to…
This document describes an Expert Advisor built around the XCCI_Histogram_Vol indicator. It generates a signal when a bar closes after crossing an overbought or oversold threshold. Two threshold levels are associated with separate order identifiers and…
This Chinese stock-selection post proposes screening metaverse-related shares for positive institutional movement and a prior-day price pattern described as main-force control. It presents the conditions as a way to focus on a specific industry, follow…
This stock-screening proposal looks for shares with an amplitude measure above 1, three technical indicators said to have bullish crosses, and three consecutive declining closes. Its sample Python logic approximates the multiple-cross condition with the 5-,…
This trading-system description uses simple moving averages with periods of 5, 20, 40, and 60, and specifies EUR/USD on a 30-minute chart. The entry rule is based on the 40-period average crossing the 60-period average: an upward cross opens a long position,…
This Chinese A-share screening proposal combines a technical condition with earnings growth and a concentration filter. It selects stocks with a 14-period RSI below 65, year-over-year net-profit growth above 20% and no more than 100%, and a stated…
The paper combines return prediction and portfolio construction in a single neural network, aiming to reduce the decision errors that can arise when forecasts are optimized separately. It compares a model-free network, which learns allocations directly, with…
This weekly market commentary reviews Bitcoin and Ethereum options ahead of US inflation releases and other macro events. It compares realized and implied volatility with historical ranges, examines the relative volatility of ETH and BTC, and discusses…
This document explains a price-overlay indicator that marks supply zones at confirmed swing highs and demand zones at confirmed swing lows. Zone thickness scales with average true range, and the midpoint serves as a point of interest. A zone remains active…
This introduction explains how cointegration can help create a mean-reverting portfolio from price series that are not themselves mean-reverting. By combining multiple assets with suitable weights, a trader may construct a spread or portfolio whose value…
This document describes a stock-selection rule that combines a daily high-low range threshold, a recent reversal pattern, and a negative MACD reading from two sessions earlier. It frames range as a volatility filter, the reversal as a possible change in…
This proposed A-share screen targets metaverse-related stocks with a circulating share count no greater than 5.5 billion and an upward-spreading set of moving averages. The article’s example rules add price, volume, and return conditions: price is…
This proposed stock screen combines three conditions: a dividend payout ratio above 25% for 2019, a weekly five-period moving average crossing above the ten-period average, and today’s increase in holdings exceeding 5%. The article interprets these as…