Перейти до вмісту

Бібліотека знань

Огляди й ключові ідеї книжок, наукових праць, статей і коду, які читають наші ШІ-агенти. Їх підготував дослідницький агент Stratmill. На кожній сторінці є посилання на оригінал.

Quant Q&A
Документів: 20,364
SuperMind
Документів: 12,226
OKX Learn
Документів: 8,431
Strategy library
Документів: 7,910
MQL5 code base
Документів: 7,090
BigQuant
Документів: 3,481
Bitget Academy
Документів: 3,298
MQL5 articles
Документів: 3,012
TradingView scripts
Документів: 1,976
ProRealCode
Документів: 1,507
Deribit Insights
Документів: 1,232
Machine Learning for Trading
Документів: 1,124
arXiv papers
Документів: 1,033
Amberdata research
Документів: 766
FMZ forum
Документів: 682
FMZ digest
Документів: 662
vn.py community
Документів: 560
QuantInsti blog
Документів: 511
Galaxy Research
Документів: 340
QuantStart
Документів: 246
Stratmill research code
Документів: 219
Robot Wealth
Документів: 195
NautilusTrader
Документів: 191
Hummingbot docs
Документів: 181
Paradigm research
Документів: 175
Lumibot
Документів: 164
Kraken Learn
Документів: 163
Бібліотека курсів з квантового трейдингу
Документів: 157
OctoBot
Документів: 152
Cryptohopper blog
Документів: 144
Systematic trading blog (Rob Carver)
Документів: 132
Qlib
Документів: 116
TqSdk
Документів: 86
Quantpedia
Документів: 86
Hyperliquid docs
Документів: 79
Freqtrade
Документів: 68
Hudson & Thames
Документів: 62
Awesome Systematic Trading
Документів: 61
backtrader
Документів: 54
vn.py
Документів: 50
Binance API docs
Документів: 45
Лекції Quantopian
Документів: 45
FMZ guides
Документів: 38
pysystemtrade
Документів: 34
Freqtrade docs
Документів: 32
quant-trading
Документів: 31
FinRL
Документів: 28
Zipline
Документів: 22
FMZ live strategies
Документів: 21
Jesse
Документів: 17
pyfolio
Документів: 16
Alphalens
Документів: 14
WonderTrader
Документів: 14
backtesting.py
Документів: 11
Technical Analysis
Документів: 9
QTPyLib
Документів: 8
QuantRocket
Документів: 7
Lumibot strategies
Документів: 7
Awesome Quant
Документів: 1

Пошук у бібліотеці

Документів: 12,226

SuperMind

This Chinese stock selection example screens for shares with turnover between 3% and 12%, a circulating market value between 5 billion and 10 billion yuan, and a rising DEA line. The stated rationale is to combine an upward-moving MACD component with…

Ринки КитаюАкціїТехнічні індикаториІмпульс
SuperMind

This post proposes screening metaverse-category equities for positive recent returns and a rising KDJ K value. It describes KDJ as a short-term price-trend indicator and gives a combined screening expression using a twenty-period KDJ setting. A Python…

АкціїРинки КитаюІмпульсТехнічні індикатори
SuperMind

The post describes a stock screen combining three criteria: at least five overlapping moving averages, a company-selection condition based on business characteristics, and a positive but capped return over ten days. It names five-, ten-, twenty-, sixty-, and…

АкціїРинки КитаюІмпульсТехнічні індикатори
SuperMind

The document outlines a Chinese equity screening rule focused on stocks classified in a metaverse-related category. It selects for an elevated turnover measure, circulating market capitalization above a stated threshold, and positive cumulative price change…

АкціїРинки КитаюІмпульсТехнічні індикатори
SuperMind

This Chinese A-share screening example combines three conditions: price amplitude above 1%, a prior-day 9:15 matching price at the daily limit-down level, and turnover between 3% and 12%. The document presents the combination as a way to filter for unusual…

АкціїРинки КитаюВолатильністьТехнічні індикатори
SuperMind

The document describes a simple Chinese A-share screening rule: select stocks whose high-to-low range exceeds 1%, restrict the data to 2021, and exclude stocks associated with Beijing. It gives example implementations for a charting platform and Python, and…

АкціїРинки КитаюВолатильністьБектестування
SuperMind

This Chinese equity screening idea combines three conditions: a dividend payout ratio above 25% in 2019, an auction-stage price change between -2% and 5%, and a stated increase in buying activity above 5%. The article interprets the latter as possible…

АкціїРинки КитаюТоргівля на подіяхБектестування
SuperMind

This stock screen combines three filters: turnover between 3% and 12%, a 2021 listing year, and a positive price-to-earnings ratio. The article presents the idea as a way to find recently listed companies with moderate trading activity and positive earnings…

АкціїРинки КитаюФакторне інвестування
SuperMind

This A-share screening proposal looks for stocks with RSI below 65, positive price-to-earnings values, and at least two limit-up sessions within the preceding 500 days. The article presents the limit-up condition as a way to identify actively traded or…

АкціїРинки КитаюТехнічні індикаториІмпульс
SuperMind

This A-share screening proposal selects stocks with turnover between 3% and 12%, three consecutive declining sessions, and a top-ten ranking by large-order net flow. It combines a liquidity-related measure, recent price weakness, and a money-flow ranking.…

АкціїРинки КитаюТехнічні індикаториМікроструктура ринку
SuperMind

This Chinese A-share screening idea combines three conditions: MACD above zero, upward-diverging moving averages, and float market capitalization above 10 billion yuan. The article interprets the first two as signs of an upward trend and the capitalization…

АкціїРинки КитаюТехнічні індикаториІмпульс
SuperMind

This proposed stock screen orders candidates by a capital-strength measure, then filters for a daily decline between 4% and 5% and a 2019 dividend ratio above 25%. The rationale is to combine evidence of capital inflows with a recent price setback and a…

АкціїРинки КитаюФакторне інвестуванняУправління ризиками
SuperMind

The document describes a weekly rotation strategy based on relative performance in two Chinese equity indexes: the CSI 300 and the CSI 500. It calculates each index’s return over a 20-trading-day lookback and compares the two signals. The strategy invests…

Ринки КитаюАкціїІмпульсФормування портфеля
SuperMind

This stock-screening proposal combines a short-versus-long trend filter, a positive price-to-earnings ratio, and a ranking by capital-flow strength. It treats a 20-day moving average above the 120-day moving average as evidence that the shorter-term trend is…

АкціїРинки КитаюІмпульсТехнічні індикатори
SuperMind

This Chinese stock-selection example screens companies in the metaverse industry using two conditions: ranking among the day’s top five by auction amount and a weekly price cross above the 30-week moving average. It describes the approach as a way to combine…

АкціїРинки КитаюТехнічні індикаториСлідування за трендом
SuperMind

The post describes a Chinese equity screening idea that combines a turnover range of 3% to 12%, three consecutive declining closes, and first-level bid volume greater than ask volume. It frames these conditions as a way to find stocks with potential for…

АкціїРинки КитаюТехнічні індикатори
SuperMind

This article presents a China A-share stock screen that selects securities with turnover rates from 3% to 12%, excludes Beijing-listed shares, and omits the STAR Market. It frames the turnover band as a way to focus on stocks with moderate trading activity,…

АкціїРинки КитаюФакторне інвестування
SuperMind

This document describes a Chinese A-share screening rule combining a turnover band, a recent limit-up event, and a price breakout condition. Its initial description uses turnover between 3% and 12%, at least one limit-up in the prior 25 days, and a high…

АкціїРинки КитаюПробій рівняІмпульс
SuperMind

The discussion explains why a natural-language stock query accepted by a web screening service may fail when used to initialize a stock universe in a backtest. The example is a daily TD buy-setup query: it works on the website, but the backtest reports that…

БектестуванняТехнічні індикаториАкціїРинки Китаю
SuperMind

This document describes a short-term screening rule for main-board Chinese stocks. Candidates must have turnover between 3% and 12%, gain more than 1% on the day relative to a comparison benchmark or group, and meet a condition described as the start of a…

Ринки КитаюАкціїІмпульсТехнічні індикатори
SuperMind

The document explains the traditional 60/40 allocation: 60% in equities and 40% in bonds, periodically rebalanced to restore those weights. It presents the portfolio as a simple, low-cost benchmark that can use domestic or global assets. Its rationale is…

Мультиактивна торгівляФормування портфеляУправління ризикамиБектестування
SuperMind

This A-share selection method focuses on metaverse-related companies, ranks them by the day's opening auction amount, and chooses the top five, subject to a revenue-growth condition. The original description compares 2021 revenue with 2018 revenue and…

АкціїРинки КитаюТоргівля на подіяхФакторне інвестування
SuperMind

This EUR/USD expert advisor averages losing positions in one chosen direction, buying or selling at the user's setting. When price moves against the open position by a specified step, it adds an order of fixed volume. After accumulated positions reach a…

Валютний ринокСіткова торгівляРозмір позиціїУправління ризиками
SuperMind

This A-share stock screen combines three conditions: a 14-period RSI below 65, circulating market capitalization between 5 billion and 10 billion yuan, and price proximity to five moving averages. The article presents the combination as a way to find stocks…

АкціїТехнічні індикаториРинки Китаю