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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
Dokumentu skaits: 1,976
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
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
Binance API docs
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Quantopian lekcijas
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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
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 Chinese A-share screening example combines a metaverse industry filter with a volume ratio between 1.5 and 6 and a positive weekly red-bar signal. Its final version adds a circulating market capitalization cap of 20 billion yuan. The article supplies…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This proposed stock screen selects shares with turnover between 3% and 12%, greater displayed volume at the best bid than at the best ask, and an opening price near the 10-day moving average. The stated rationale is to combine trading activity with a simple…

Ķīnas tirgiAkcijasTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This proposed China A-share screen combines three conditions: turnover between 3% and 12%, a newly formed KDJ bullish crossover, and classification in the metaverse industry. The rationale is to avoid unusually inactive or excessively active shares, use the…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This document starts with an A-share selection idea based on metaverse-sector membership, a rounded price pattern, and a current low below the prior day's low. It then proposes a different, expanded screen: a rounded pattern, price above the 20-day moving…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This document outlines a proposed A-share screen that excludes Beijing-listed stocks, selects shares whose high-to-low amplitude exceeds 1%, and looks for a prior-day 9:15 matching price equal to the limit-down price. It frames the amplitude filter as a way…

AkcijasĶīnas tirgiSvārstīgumsTirgus noskaņojums
SuperMind

This document describes a Chinese A-share screening rule that combines turnover, a recent limit-up event, and relative trading volume. Its stated criteria are turnover between 3% and 12%, at least one limit-up in the prior 25 days, and a volume ratio above…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock-selection method combines a positive MACD reading, upward expansion or alignment of short moving averages, and year-over-year growth in net profit attributable to parent-company shareholders between 20% and 100%. The intended logic mixes trend…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This technical stock screen looks for daily amplitude above 1%, a share price below 20, and no rising session over the previous seven trading days. The article interprets a run of declines as a possible sign that a stock is depressed and could rebound, while…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This proposed stock screen selects companies with turnover between 3% and 12%, a positive product of price change and net volume from very large orders, market capitalization below 10 billion yuan, and no reported loss. The article treats turnover as a…

AkcijasĶīnas tirgiTirgus mikrostruktūraRīkojumu izpilde
SuperMind

This A-share screening rule combines four filters: daily amplitude above 1%, market capitalization below 10 billion yuan, positive trailing net profit, and a nonempty convertible-bond name. The accompanying discussion presents the profit and size filters as…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

The screen selects stocks with turnover rates between 3% and 12%, a rising KDJ K value below 100, and a listing date earlier than a chosen cutoff. The KDJ condition is implemented by checking whether the current K value exceeds the prior value, while the…

AkcijasTehniskie indikatoriCenas impulssStatistika
SuperMind

This A-share screening rule selects stocks classified in the metaverse theme that appeared on the previous day’s trading leaderboard and whose previous-day closing price was above the 250-day moving average. The document outlines the conditions and gives…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The proposed screen selects Chinese stocks associated with the metaverse theme, requires circulating market capitalization above the stated threshold, and looks for large-order net volume above 0.05 for at least three consecutive days. The article interprets…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

The post proposes screening Chinese stocks by price amplitude, calendar year, and shareholder concentration. Its stated rules require amplitude above 1%, observations from 2021, and a concentration measure between 20% and 70%. It interprets higher amplitude…

AkcijasTehniskie indikatoriĶīnas tirgiRiska pārvaldība
SuperMind

The document describes an A-share stock screen combining an RSI below 65, seven consecutive down sessions, and a daily return between -5% and 2.6%. It presents the rules as a way to find stocks that have weakened recently without showing a strong daily move,…

AkcijasTehniskie indikatoriĶīnas tirgiVēsturisko datu pārbaude
SuperMind

This post describes a Chinese stock screen using turnover between stated bounds, three consecutive declining closes, and a prior closing price above its 250-day moving average. It includes a technical-indicator formula and a Python example that queries daily…

AkcijasTehniskie indikatoriSekošana tendenceiĶīnas tirgi
SuperMind

This post describes a Chinese equity screening rule that selects stocks with a six-period RSI below a threshold, a share price below a stated ceiling, and a positive return over the recent ten-day interval that remains below an upper bound. It gives an…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This document describes a Chinese equity screen requiring daily turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders above 20% and no greater than 100%, and a positive return from the day’s open. It…

AkcijasĶīnas tirgiFaktoru ieguldīšanaTehniskie indikatori
SuperMind

This document describes a Chinese equity screen combining daily turnover, listing age, price movement, and large-order net volume. It selects stocks with turnover between 3% and 12%, listed in 2021, whose daily return multiplied by a large-order net-volume…

AkcijasĶīnas tirgiTirgus mikrostruktūraTehniskie indikatori
SuperMind

The document describes a Chinese A-share screening strategy that combines daily turnover, the opening price relative to the 10-day moving average, robot-sector membership, and a circulating-market-value ceiling. Its stated criteria select stocks with…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document describes a short-term stock screen that combines a daily price-range threshold, a closing price of 18.5 yuan, and a candlestick pattern labeled a morning star. It presents the conditions both as a formula-style filter and as an attempted Python…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This stock screen combines three conditions: at least five moving averages clustered together, a positive “morning star” signal, and a dividend payout ratio above 25% in 2019. The document describes moving average overlap as a sign of stable prices, the…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasĶīnas tirgi
SuperMind

This stock screening idea combines two signals: rank stocks by capital flow strength, then identify those whose five week moving average crosses above the ten week moving average. The document frames the crossover as a sign of improving short term direction…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The post describes a Chinese A-share stock screen focused on the metaverse industry. It seeks shares that appeared on the prior day’s trading leaderboard and had a three-session consecutive limit-up streak. The stated rationale is to find stocks with strong…

AkcijasĶīnas tirgiCenas impulssCenas izrāviens