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Zināšanu bibliotēka

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
Dokumentu skaits: 20,364
SuperMind
Dokumentu skaits: 12,226
OKX Learn
Dokumentu skaits: 8,431
Strategy library
Dokumentu skaits: 7,910
MQL5 code base
Dokumentu skaits: 7,090
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
Dokumentu skaits: 1,033
Amberdata research
Dokumentu skaits: 766
FMZ forum
Dokumentu skaits: 682
FMZ digest
Dokumentu skaits: 662
vn.py community
Dokumentu skaits: 560
QuantInsti blog
Dokumentu skaits: 511
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
Dokumentu skaits: 45
Binance API docs
Dokumentu skaits: 45
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 screen combines a daily amplitude above 1%, a positive weekly MACD histogram, and a prior-day 9:15 matching price at the limit-down level. The article presents the matching-price condition as a possible clue about liquidity and market acceptance,…

Ķīnas tirgiAkcijasTehniskie indikatoriSvārstīgums
SuperMind

This stock selection method combines three technical conditions: a daily high-to-low range above 1%, a newly formed KDJ crossover, and a nonnegative MACD value. The rationale is that a larger range may offer more opportunity, the crossover may signal…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

The proposed stock screen combines a beverage and alcohol import-export industry classification with an RSI below 65 and a prior-day close above the 250-day moving average. The long moving average is presented as a trend filter, while RSI provides a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This screening rule focuses on stocks classified in the metaverse industry. It selects shares whose opening price is within five percent above or below the ten-day moving average and that have recently reached a limit-up price. The article presents the…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock screen combines three conditions: daily high-to-low amplitude above one percent, a newly formed KDJ crossover, and a positive return relative to the prior close. The article treats a larger daily range as a sign of opportunity, the crossover as a…

AkcijasTehniskie indikatoriCenas impulssStatistika
SuperMind

This stock-selection idea screens for companies in the Metaverse concept group, with positive net buying attributed to major participants during the auction and a circulating share count no greater than 5.5 billion. The document frames concept membership as…

AkcijasĶīnas tirgiCenas impulssTirgus noskaņojums
SuperMind

This post outlines a Chinese equity screen for Shenzhen main-board stocks. It combines a positive but bounded ten-day price gain with an RSI ceiling, a positive price-to-earnings ratio below a stated threshold, and a bounded price-to-book ratio. The…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese equity screen first limits the universe to stocks whose codes begin with 60 and whose turnover rate is between 3% and 12%. Within that group, it selects companies with year-over-year growth in net profit attributable to parent-company…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaRiska pārvaldība
SuperMind

This research summary examines whether changes in analysts’ consensus earnings per share (EPS) forecasts and the gap between forecasts and reported earnings can help guide rotation among Chinese equity industries. It reports that consensus EPS growth is…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaPortfeļa veidošana
SuperMind

The document describes a screen for A-share stocks in the metaverse sector that appeared on the prior day’s top-trader activity list and had a daily price change between -5% and 2.6%. It gives example indicator conditions and a Python outline that combines…

Ķīnas tirgiAkcijasUz notikumiem balstīta tirdzniecībaCenas impulss
SuperMind

This A-share stock screen combines market activity, recent price direction, and company earnings growth. It selects stocks with turnover between 3% and 12%, three consecutive declining sessions, and year-over-year growth in net profit attributable to…

Ķīnas tirgiAkcijasTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This Chinese equity screening rule combines a daily price-movement threshold, a listing-age filter, and prior-day actual turnover. It aims to select shares with some market activity, exclude newly listed companies, and avoid both very low and very high…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This Chinese equity screening idea selects stocks with turnover between 3% and 12%, a prior-day appearance on the market’s top-trader disclosure list, and a 9:25 a.m. gain no greater than 6%. The stated rationale is to find actively traded shares with a…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This proposed Chinese stock screen combines three conditions: an absolute price below 12 yuan, an opening move from the prior close of less than six percent at 9:25, and a price amplitude above one percent. The accompanying formula reference expresses the…

Ķīnas tirgiAkcijasTehniskie indikatoriSvārstīgums
SuperMind

This Chinese equity screening proposal combines three price-action conditions: at least five moving averages converge, the stock has recorded at least two limit-up sessions within the previous 500 days, and it has more than two limit-up sessions within the…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This stock screen selects shares with MACD above zero, a positive price-to-earnings ratio, and year-over-year growth in net profit attributable to parent-company shareholders above 20% and no more than 100%. The document presents MACD as a trend filter,…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This stock-selection screen combines four filters: a daily price move greater than 1%, market capitalization no more than 10 billion yuan, positive net profit, and turnover between 3% and 12%. The accompanying rationale is that a meaningful price move and…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

The document describes a Chinese A-share stock screen combining daily price amplitude, a reversal or engulfing-style pattern, and exclusion of Beijing-listed stocks. It presents the final logic as amplitude above 1%, a reversal pattern within the recent…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

The proposed Chinese equity screen selects stocks associated with the robotics theme, with daily high-to-low amplitude above 1%, circulating market capitalization below 10 billion yuan, and closing prices between 18 and 19 yuan. The article describes the…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This Chinese stock selection post describes a screen for metaverse-related shares in mainland China. It selects stocks whose turnover on the prior day falls between 3% and 28%, then looks for an early upward move using either a sequence of rising volume and…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This Chinese equity screening rule selects stocks with turnover between 3% and 12%, a K value below 20, and a shortening green MACD histogram on a 15-minute timeframe. The article presents the combination as a buy signal and includes example screening logic…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock-screening recipe selects shares with daily amplitude above 1%, a newly formed KDJ crossover, and a ratio between 0.5 and 2 based on the prior day’s turnover rate and current auction activity relative to prior volume. The post includes…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss