Kokkuvõtted ja põhiideed raamatutest, teadustöödest, artiklitest ja koodist, mida meie AI-agendid loevad. Need on koostanud Stratmilli uurimisagent. Igal lehel on link originaalile.
79,386 dokumenti
This article argues that grid trading can move beyond small gains by improving how the strategy handles falling markets. It describes combining suitable instrument selection, portfolio construction, dynamic grid placement, and position management to address…
This article explains a proposed arbitrage mechanism involving Chinese A-shares, stock purchases, securities borrowing, and short sales. Its example describes buying shares to push the price higher, borrowing shares to sell at that higher price, and later…
This post presents a Pine strategy example built around three exponential moving averages. It defines a bullish condition when the shortest average is above the middle average and the middle is above the longest, and a bearish condition when that ordering is…
This document outlines a Chinese stock-screening rule that combines a daily price-range threshold, a fresh two-day high, and at least two limit-up events over a 500-day lookback. It also includes a positive earnings-per-share condition. The proposed logic…
This document describes a Chinese equity screening strategy focused on companies classified in the metaverse sector. It selects stocks with actual turnover between 3% and 28% on the prior day and more than two limit-up days within a ten-day window. The…
This note outlines a short-term Chinese-equity screening idea that combines a daily price-range threshold, relative volume bounded by lower and upper limits, and a Morning Star candlestick pattern. The stated interpretation is that a wider range may identify…
This document explains a chart utility that derives standard timeframe charts from one-minute data and can optionally recreate the one-minute volume series before conversion. A configurable parameter controls the treatment: negative values below a threshold…
This note describes a Chinese-equity screen limited to the metaverse industry. It looks for stocks opening around the ten-day moving average and with prior-day actual turnover within a stated band. The intended rationale is to combine a price-position…
This platform guide describes how to select and trade cryptocurrency options through a common trading interface. It outlines contract selection, market-data retrieval, order placement and cancellation, and position queries for Deribit and OKX. It also lists…
This beginner guide explains convertible bonds as debt with interest and a right to convert into shares at a specified conversion price. It distinguishes the bond’s market price, the underlying share price, and the conversion price, then illustrates how…
This post describes a stock screen combining an RSI below 65, the product of percentage price change and net flow from very large orders, and a listing history longer than three years. It presents these filters as a way to combine a technical condition,…
This post describes a Chinese stock-selection screen for robot-related companies. Its initial criteria are strong fund flow intensity, circulating market capitalization below 10 billion yuan, and a rising 30-day moving average. The final proposed screen adds…
This post outlines a Chinese equity screen combining daily price amplitude above 1%, total market capitalization no greater than 10 billion yuan, positive net profit over the latest four quarters, and circulating market capitalization above 10 billion yuan.…
This Chinese-language post describes a short-term stock screen that selects shares with turnover between 3% and 12%, a listing on the previous day’s trading榜, and an intraday amplitude above 1. It presents these as proxies for trading activity and price…
This post describes a short-horizon Chinese stock screen that ranks stocks by capital-flow strength, selects those with afternoon net inflows from large orders, and requires more than two limit-up days in the previous ten days. It suggests using turnover and…
This post proposes screening Chinese stocks with a mix of recent trading activity, historical limit-up behavior, and fundamental filters. Its initial rules use today’s increase in position share above 5%, prior-day actual turnover between 3 and 28, and at…
This Chinese-language note describes a stock prediction exercise using four cross-sectional inputs: total market capitalization, turnover, trailing price-to-earnings, and quarterly net-profit year-over-year growth. It compares linear regression, XGBoost, and…
This configuration defines a Qlib workflow that trains an ordinary least squares linear model on Alpha158 features for CSI 500 stocks. The data spans 2008 through mid-2020, with training through 2014, validation in 2015–2016, and testing from 2017 onward.…
The document presents a logarithmic Garman–Klass estimator that uses open, high, low, and close prices to estimate realized or historical volatility. It forms log returns for close-to-close, close-to-open, open-to-previous-close, and high-to-low moves. The…
The document describes a chart indicator built around a TimeZonePivots channel. It marks candlesticks that extend beyond the channel’s upper or lower limits, using candle colors to distinguish whether the move agrees with the prevailing trend. Trend-aligned…
This stock screen combines three conditions: a rising 30-day moving average, a 60-day moving average below 60, and convergence among the 20-, 50-, 100-, 200-, and 60-day averages. The post frames the five averages as short-, medium-, and long-term trend…
The document describes a MetaTrader indicator that marks five price-action concepts: breaks and changes in market structure, order blocks, fair value gaps, equal highs and lows, and buy or sell signals. Swing pivots use a configurable lookback; a break…
This MetaTrader Expert Advisor uses a custom Breakout Bars Trend indicator to trade trend reversals. It opens a position when the indicator changes direction, or can wait until the current reversal follows a configured number of false signals. A signal is…
This A-share screening rule filters for turnover between 3% and 12%, excludes Beijing-listed shares, and requires 2021 revenue to exceed 2018 revenue by a factor greater than 1.1. The stated aim is to find companies with revenue growth while retaining a…