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Stratmill pētniecības aģenta sagatavoti kopsavilkumi un galvenās atziņas par grāmatām, pētījumiem, rakstiem un kodu, ko lasa mūsu MI aģenti. Katrā lapā ir saite uz oriģinālu.

Quant Q&A
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SuperMind
Dokumentu skaits: 12,226
OKX Learn
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Strategy library
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MQL5 code base
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BigQuant
Dokumentu skaits: 3,481
Bitget Academy
Dokumentu skaits: 3,298
MQL5 articles
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TradingView scripts
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ProRealCode
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Deribit Insights
Dokumentu skaits: 1,232
Machine Learning for Trading
Dokumentu skaits: 1,124
arXiv papers
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Amberdata research
Dokumentu skaits: 766
FMZ forum
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FMZ digest
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vn.py community
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QuantInsti blog
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Galaxy Research
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QuantStart
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Stratmill research code
Dokumentu skaits: 219
Robot Wealth
Dokumentu skaits: 195
NautilusTrader
Dokumentu skaits: 191
Hummingbot docs
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Paradigm research
Dokumentu skaits: 175
Lumibot
Dokumentu skaits: 164
Kraken Learn
Dokumentu skaits: 163
Kvantitatīvās tirdzniecības kursu bibliotēka
Dokumentu skaits: 157
OctoBot
Dokumentu skaits: 152
Cryptohopper blog
Dokumentu skaits: 144
Systematic trading blog (Rob Carver)
Dokumentu skaits: 132
Qlib
Dokumentu skaits: 116
Quantpedia
Dokumentu skaits: 86
TqSdk
Dokumentu skaits: 86
Hyperliquid docs
Dokumentu skaits: 79
Freqtrade
Dokumentu skaits: 68
Hudson & Thames
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Awesome Systematic Trading
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backtrader
Dokumentu skaits: 54
vn.py
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Quantopian lekcijas
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Binance API docs
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FMZ guides
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pysystemtrade
Dokumentu skaits: 34
Freqtrade docs
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quant-trading
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FinRL
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Zipline
Dokumentu skaits: 22
FMZ live strategies
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Jesse
Dokumentu skaits: 17
pyfolio
Dokumentu skaits: 16
Alphalens
Dokumentu skaits: 14
WonderTrader
Dokumentu skaits: 14
backtesting.py
Dokumentu skaits: 11
Technical Analysis
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QTPyLib
Dokumentu skaits: 8
QuantRocket
Dokumentu skaits: 7
Lumibot strategies
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 12,226

SuperMind

This Chinese-language post outlines a stock screen combining a price-amplitude condition, a K-line condition below 20, and the previous close above the 250-day moving average. It presents reference implementations for a charting formula and Python, where the…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This Chinese equities screen selects companies with intraday range of at least one percent, market capitalization no greater than 10 billion yuan, and positive net profit. It also requires three moving-average crossovers: the 5-day average above the 10-day,…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas izrāviens
SuperMind

This Chinese stock-selection idea combines a relative strength index below 65, a condition based on multiplying price change by net volume from very large orders, and a positive price-to-earnings ratio. The article presents the mix as a way to include both…

Ķīnas tirgiAkcijasTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This Chinese equities screen combines three conditions: a shrinking negative MACD histogram on a 15-minute chart, at least two limit-up sessions within the prior 500 days, and convergence among at least five moving averages. The article interprets…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

The proposed screen seeks five non-ST Chinese stocks before 10:00 using price amplitude above 1 and prior-day trading value above 60 million, then ranks candidates by current percentage change. The article describes these conditions as a way to focus on…

AkcijasĶīnas tirgiSvārstīgumsCenas impulss
SuperMind

This proposed Chinese stock screen selects companies associated with the metaverse theme, requires prior-day turnover above 8%, and applies opening-auction conditions involving price change and large and extra-large buy orders. The stated rule requires…

AkcijasĶīnas tirgiTirgus mikrostruktūraRīkojumu izpilde
SuperMind

This stock screen combines a positive MACD condition with a share price below 12 yuan and a recent high criterion described as the stock's high being the highest over two days. It proposes screening before the trading session, although the reference Python…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document describes a stock screen combining three conditions: amplitude above 1, three consecutive limit-up sessions through the prior day, and a price below 12 yuan. It presents the pattern as a way to find active, high-attention stocks and gives a code…

AkcijasCenas impulssĶīnas tirgiTehniskie indikatori
SuperMind

This proposed A-share screen combines three filters: membership in the metaverse theme, positive net buying attributed to major participants during the opening auction, and an upward spread in moving averages. The stated moving-average rule compares the…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This A-share stock screen combines a turnover range of 3% to 12%, a positive 10-day gain below 35%, and at least one limit-up event in the previous month. The article characterizes the setup as a momentum-oriented search for stocks that have recently shown…

AkcijasĶīnas tirgiCenas impulssCenas izrāviens
SuperMind

This document outlines a Chinese stock screen combining price amplitude above 1, return on equity above 15% for five consecutive years, and a stock code beginning with 60. It frames amplitude as a volatility filter, persistent ROE as a profitability filter,…

AkcijasĶīnas tirgiFaktoru ieguldīšanaTehniskie indikatori
SuperMind

This stock selection approach combines a price range condition, a turnover and volume activity measure, and year-over-year net profit growth. It screens for stocks with amplitude above one, a product of the prior day's turnover rate and the current auction…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This Chinese equity screening idea selects stocks with daily amplitude above 1, a listing history longer than three years, and a rising DEA indicator. The rationale is that larger price ranges may coincide with greater trading activity, while excluding…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document describes a Chinese stock selection rule that seeks shares with turnover between 3% and 12%, listed in 2021, and associated with the metaverse theme. It presents this as a way to narrow the universe to newer listings in a targeted sector. The…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

The document proposes a stock-selection screen based on three conditions: daily turnover between 3% and 12%, an opening price within 5% of the 10-day moving average, and a previous-session 9:15 indicative matching price at the limit-down level. It includes…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasĶīnas tirgi
SuperMind

This screening proposal combines a daily price-range condition, consistently high return on equity over five years, and an opening price near short-term moving averages. The suggested refinement places the open between the prior ten-day and twenty-day…

AkcijasFaktoru ieguldīšanaTehniskie indikatoriStatistika
SuperMind

This stock-screening example combines a metaverse concept filter with an upward-sloping thirty-day moving average and a weekly five-day moving average crossing above the ten-day average. It frames the conditions as a way to find stocks with both sector…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese equity selection rule filters for turnover between 3% and 12%, a positive product of the stock’s price change and super-large-order net volume, and a gain below 6% during the final five minutes before the close. The article presents the…

AkcijasĶīnas tirgiTirgus mikrostruktūraTehniskie indikatori
SuperMind

This note describes a Chinese equity screen combining daily price range, large-order net buying, and year-over-year net profit growth attributable to shareholders of the parent. Its stated final rule requires amplitude above 1, a high large-order net volume…

AkcijasĶīnas tirgiFaktoru ieguldīšanaTehniskie indikatori
SuperMind

This stock selection rule screens for RSI below 65, a K indicator below 20, and circulating market value between 5 billion and 10 billion yuan. The article presents the combination as a way to identify stocks with weak technical readings while restricting…

AkcijasTehniskie indikatoriĶīnas tirgiAtgriešanās pie vidējās vērtības
SuperMind

The article explains naive Bayes classification and applies it to a stock selection strategy. The classifier estimates the probability of each outcome from historical labeled observations, assuming features are conditionally independent and equally…

AkcijasMašīnmācīšanāsTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This stock-selection proposal combines turnover between 3% and 12%, a positive ten-day gain below 35%, and a weekly close crossing above its 30-week moving average. The turnover band is intended to select actively traded shares, the return filter limits…

AkcijasTehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaude
SuperMind

The document describes a simple stock screen combining three conditions: daily amplitude above 1%, the current high matching the highest high over two days, and a stock code beginning with 60. The first two conditions target recent price movement and a…

AkcijasTehniskie indikatoriCenas impulss