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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
Dokumentu skaits: 8,431
Strategy library
Dokumentu skaits: 7,910
MQL5 code base
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BigQuant
Dokumentu skaits: 3,481
Bitget Academy
Dokumentu skaits: 3,298
MQL5 articles
Dokumentu skaits: 3,012
TradingView scripts
Dokumentu skaits: 1,976
ProRealCode
Dokumentu skaits: 1,507
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
Dokumentu skaits: 340
QuantStart
Dokumentu skaits: 246
Stratmill research code
Dokumentu skaits: 219
Robot Wealth
Dokumentu skaits: 195
NautilusTrader
Dokumentu skaits: 191
Hummingbot docs
Dokumentu skaits: 181
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
TqSdk
Dokumentu skaits: 86
Quantpedia
Dokumentu skaits: 86
Hyperliquid docs
Dokumentu skaits: 79
Freqtrade
Dokumentu skaits: 68
Hudson & Thames
Dokumentu skaits: 62
Awesome Systematic Trading
Dokumentu skaits: 61
backtrader
Dokumentu skaits: 54
vn.py
Dokumentu skaits: 50
Quantopian lekcijas
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Binance API docs
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FMZ guides
Dokumentu skaits: 38
pysystemtrade
Dokumentu skaits: 34
Freqtrade docs
Dokumentu skaits: 32
quant-trading
Dokumentu skaits: 31
FinRL
Dokumentu skaits: 28
Zipline
Dokumentu skaits: 22
FMZ live strategies
Dokumentu skaits: 21
Jesse
Dokumentu skaits: 17
pyfolio
Dokumentu skaits: 16
Alphalens
Dokumentu skaits: 14
WonderTrader
Dokumentu skaits: 14
backtesting.py
Dokumentu skaits: 11
Technical Analysis
Dokumentu skaits: 9
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 stock-screening idea selects A-shares with turnover between 3% and 12%, excludes Beijing-listed shares, and looks for the weekly closing price to cross above its 30-week moving average. It presents the rule as a way to identify stocks entering an upward…

AkcijasĶīnas tirgiSekošana tendenceiTehniskie indikatori
SuperMind

This screening idea targets main-board Chinese stocks meeting three conditions: a 15-day maximum amplitude above 1, institutional participation above 25% over 15 days, and a declining seven-day moving average. The article presents the combination as a way to…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus noskaņojums
SuperMind

This stock selection method combines a 14-period RSI below 65 with positive parent-company net profit growth between 20% and 100%, and a current daily low below the previous day’s low. The article describes screening for eligible Shanghai-listed shares,…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This document describes screening metaverse-related stocks using two auction and opening conditions: positive net buying attributed to large participants during the auction and a 9:25 price rise below 6%. The stated rationale is to focus on a thematic group,…

AkcijasĶīnas tirgiTirgus mikrostruktūraTirgus noskaņojums
SuperMind

This document outlines a historical stock-selection screen using metaverse association, an upward-moving 30-day average, and the year 2021. It describes selecting stocks linked to the metaverse concept whose 30-day moving average is rising, with a date…

AkcijasTehniskie indikatoriSekošana tendenceiĶīnas tirgi
SuperMind

The document describes a stock screen combining daily price range, MACD, company size, and annual profitability. It selects shares with an amplitude above 1, MACD above its zero line, market capitalization below 10 billion yuan, and positive net profit. The…

AkcijasTehniskie indikatoriSvārstīgumsRiska pārvaldība
SuperMind

The document describes a Chinese equity screening rule combining daily price range, turnover, and the opening price relative to the 10-day moving average. It seeks stocks with a price range above 1%, turnover above 2% and no more than 9%, and an open near…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

The document describes a Chinese stock-selection rule for beverage-related industries. It selects stocks with MACD above zero, membership in beverage manufacturing, beer, or liquor categories, and a 10-day price gain from zero up to but excluding 35 percent.…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

The document describes a Chinese equity screen combining daily price range, a low KDJ reading, and evidence of a limit-up event within the prior 25 days. It presents the conditions as a way to find volatile, potentially oversold stocks that have recently…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This article describes a China A-share screen focused on the metaverse theme. It selects stocks with prior-day turnover above 8%, a weekly five-period moving average crossing above the ten-period average, and a closing price above its five-day average. The…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This A-share screening strategy first restricts candidates by turnover, circulating market value, and a positive-earnings condition. It then selects companies whose year-over-year growth in net profit attributable to parent-company shareholders falls within…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaRiska pārvaldība
SuperMind

This stock-selection idea screens for shares whose daily high-low range exceeds a threshold, whose RSI is below a ceiling, and whose current high matches the highest high over the latest two days. The accompanying explanation frames the recent high as a way…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language post describes an equity screen combining turnover, year-over-year net profit growth attributable to parent-company shareholders, and a ratio involving prior turnover, current auction volume, and previous volume. It selects stocks with…

AkcijasĶīnas tirgiTehniskie indikatoriStatistika
SuperMind

The document proposes a stock screen combining an amplitude threshold, a maximum circulating share count, and a weekly moving-average crossover. It presents these as ways to select more volatile stocks, limit the universe to smaller-cap names, and identify…

AkcijasTehniskie indikatoriCenas izrāviensCenas impulss
SuperMind

This Chinese-market stock screen selects shares whose daily amplitude exceeds 1%, that recorded at least two limit-up moves within a 500-day lookback, and whose return falls between -5% and 2.6%. The article also proposes sorting candidates using a score…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese A-share stock screen combines a technical filter, an earnings filter, and recent price momentum. It selects shares with a 14-period RSI below 65, positive net profit attributable to parent-company shareholders growing by more than 20% and up to…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock screen combines a turnover rate from 3% through 12%, a newly formed KDJ golden cross, a 2019 dividend ratio above 25%, and a minimum market value above 1 billion yuan. The article describes turnover as a liquidity filter, the KDJ crossover…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock screen combines a turnover-rate band of 3% to 12% with an exclusion of Beijing-listed A shares and a parent-company net-profit growth condition. The final rule specifies year-over-year growth, on a trailing-twelve-month basis, above 20% and no…

AkcijasĶīnas tirgiFaktoru ieguldīšanaStatistika
SuperMind

This Chinese A-share screening idea combines a metaverse concept classification, an upward-sloping 30-day moving average, and a control-ratio threshold above 21%. It presents the moving average as a trend filter and the concept label as a way to focus on a…

AkcijasĶīnas tirgiSekošana tendenceiTehniskie indikatori
SuperMind

This Chinese stock-screening post proposes combining three signals: RSI below 65, a rising MACD DEA line, and repeated limit-up sessions. The stated rationale is to find shares with favorable technical conditions and strong market interest. The post’s final…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The proposed screen looks for stocks in the metaverse sector that appeared on the prior day’s public trading activity list and have a turnover rate between 3% and 12% on the current day. It frames the combination as a way to use market attention and…

AkcijasTirgus noskaņojumsTirgus mikrostruktūraĶīnas tirgi
SuperMind

This stock-selection screen ranks or selects shares by trading volume, requires a positive return, and looks for at least two limit-up sessions within a ten-day window. The article interprets high volume as a sign of investor attention and repeated limit-ups…

AkcijasCenas impulssCenas izrāviensTehniskie indikatori
SuperMind

The post describes a short-term Chinese stock screen that seeks shares with an amplitude measure above a threshold, ranks them by the day’s auction amount, keeps the top five, and requires a positive return. Its stated rationale is to focus on active,…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This stock-selection note screens Chinese equities in the metaverse theme with circulating market capitalization above a stated threshold. It further applies a condition linking the prior day’s turnover rate with the ratio of today’s opening auction volume…

AkcijasĶīnas tirgiTirgus noskaņojumsSvārstīgums