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
WonderTrader
Документів: 14
Alphalens
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 post outlines a Chinese equity selection idea that ranks stocks by capital-flow strength, choosing the top 100, and filters for an opening-stage price rise below 6% at 9:25. It associates strong flow rankings with market attention and treats a limited…

Ринки КитаюАкціїМікроструктура ринкуІмпульс
SuperMind

This post describes a short-term Chinese equity screen using RSI below 65, an outside-volume to inside-volume ratio above 1.3, and a share-price filter. Although the headline mentions a specific price, the body shifts to a range: its example uses prices from…

Ринки КитаюАкціїТехнічні індикаториМікроструктура ринку
SuperMind

This post proposes screening Chinese equities for daily price amplitude above 1, return on equity above 15% for five consecutive years, and a rounded price pattern. It presents the combination as a way to pair a volatility condition with sustained…

Ринки КитаюАкціїТехнічні індикаториФакторне інвестування
SuperMind

This Chinese-language post outlines a stock selection rule using price amplitude, relative trading volume, and return on equity. It specifies amplitude above 1%, a volume ratio between 1.5 and 6, and ROE above 15% in each of the past five years. The intended…

АкціїРинки КитаюВолатильністьФакторне інвестування
SuperMind

This Chinese-language post describes an A-share stock screen combining price amplitude, a 2019 dividend yield threshold, and a range for floating market capitalization. The intended logic selects stocks with amplitude above 1, dividend yield above 25%, and…

АкціїРинки КитаюВолатильністьФакторне інвестування
SuperMind

This Chinese stock-screening note combines a large-order net-flow ranking with a moving-average trend filter. It proposes ranking stocks by large-order net volume, treated as a measure of buying pressure, and keeping those whose 20-day moving average is…

Ринки КитаюАкціїТехнічні індикаториІмпульс
SuperMind

This post describes a stock screen for main-board shares that combines a daily turnover-rate band of 3% to 12%, a circulating market value between 5 billion and 10 billion yuan, and an additional company-type criterion chosen by the user. It gives equivalent…

АкціїРинки КитаюСтатистика
SuperMind

This post outlines a Chinese stock screen for companies in a metaverse-related category, with previous-day turnover above 8% and tradable shares capped at 5.5 billion. It explains tradable float as shares available for market trading after restricted or…

АкціїРинки КитаюМікроструктура ринкуІмпульс
SuperMind

This document describes a Chinese equity screening rule combining daily price range, a reversal pattern, and a recent limit-up. Its refined version looks for a range above 1%, a reversal pattern within the latest three trading days, and at least one limit-up…

АкціїРинки КитаюТехнічні індикаториВолатильність
SuperMind

This post describes a daily screen for main-board stocks, excluding the technology-focused board. It selects shares with turnover between 3% and 12%, a gain above 1% relative to peers in the same board, and a day high that is the highest across two days. The…

АкціїІмпульсТехнічні індикаториРинки Китаю
SuperMind

This post describes a technical stock screen framed around price amplitude above one, a K-line condition below twenty, and an arc-shaped indicator. Its sample formulas add comparisons between the arc signal and its moving average, rising volume, and changes…

АкціїТехнічні індикаториРинки Китаю
SuperMind

This Chinese stock-screening post proposes ranking equities by capital-flow strength, using measures such as net inflows and turnover, then selecting stocks where three technical indicators show simultaneous golden crosses. The examples named are Bollinger…

АкціїТехнічні індикаториІмпульсРинки Китаю
SuperMind

The document describes a Chinese stock screening strategy that combines technical and fundamental filters. It selects stocks with at least five moving averages on the daily chart, at least two limit-up sessions within the past 500 days, and a pre-open gain…

Ринки КитаюАкціїТехнічні індикаториІмпульс
SuperMind

This post describes an A-share screen requiring turnover between 3% and 12%, market capitalization below 10 billion yuan, and positive income, while excluding stocks that hit the daily price limit the previous day. It presents the rationale as avoiding…

Ринки КитаюАкціїТехнічні індикаториУправління ризиками
SuperMind

This stock-screening proposal combines three conditions: daily price amplitude above one percent, a newly formed KDJ golden cross, and positive recent price changes across several lookback periods. The article interprets the amplitude filter as selecting…

АкціїТехнічні індикаториІмпульсВолатильність
SuperMind

This note proposes screening stocks with RSI below 65, a rising MACD signal line (DEA), and a shortening negative MACD histogram on a 15-minute chart. It gives standard MACD and RSI parameter references and a Python example that iterates through stocks,…

АкціїТехнічні індикаториІмпульс
SuperMind

This Chinese equity screening idea requires a stock to belong to the metaverse theme, show positive net buying by major participants during the opening auction, and have prior-day auction turnover above 0.26. The rationale is to combine a market-theme filter…

АкціїРинки КитаюМікроструктура ринкуВиконання ордерів
SuperMind

This proposed Chinese equity screen looks for robot-concept stocks with an intraday amplitude above 1%, circulating market value below 10 billion, and an opening auction gain between -2% and 5%. The article’s proposed refinement adds a requirement that the…

АкціїРинки КитаюТехнічні індикаториІмпульс
SuperMind

This A-share screening idea combines a 14-period RSI below 65 with year-over-year growth in parent-company net profit above 20% and no more than 100%. It also requires a daily gain above 1% and focuses on main-board stocks. The intended combination is a…

АкціїТехнічні індикаториІмпульсУправління ризиками
SuperMind

This Chinese-language post describes a stock-selection screen for shares whose codes begin with 60, whose daily high-to-low range exceeds one percent of the opening price, and where the KDJ indicator has just formed a bullish cross. The post explains the…

АкціїРинки КитаюТехнічні індикаториІмпульс
SuperMind

This stock-selection example filters Chinese equities by a turnover rate between 3% and 12%, a K indicator below 20, and a daily price change between -5% and 2.6%. The article presents the screen as a way to find stocks with potential, then suggests adding…

Ринки КитаюАкціїТехнічні індикаториІмпульс
SuperMind

The document describes a daily screen for stocks in the metaverse industry. It selects names where the KDJ indicator has just crossed into a bullish configuration, ranks them by that day’s opening auction amount, and keeps the top five. The approach combines…

АкціїТехнічні індикаториІмпульсРинки Китаю
SuperMind

This stock-screening idea combines a minimum intraday high-to-low price range with consistently high return on equity across five years and a limit on the stock’s gain at 9:25. The stated rationale is to seek profitable companies showing some price movement…

АкціїФакторне інвестуванняТехнічні індикаториУправління ризиками
SuperMind

This document describes a Chinese stock screen focused on the metaverse sector. It looks for three concurrent bullish crossovers: MACD over its signal line, the 5-day moving average over the 10-day average, and the 5-day average over the 20-day average. It…

АкціїРинки КитаюІмпульсТехнічні індикатори