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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
Quantpedia
Dokumentu skaits: 86
TqSdk
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 proposed stock screen combines a prior-day price range greater than one percent, appearance on the previous day’s trading leaderboard, and a company or exchange classification. The examples operationalize the classification as the Science and Technology…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This stock-selection idea combines three filters: rank shares by volume ratio and retain the top 100, require a positive prior-day price change without a limit-up close, and require the 30-day moving average to be rising while price remains above it. The…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This screen focuses on stocks classified in the metaverse theme. It pairs an upward-sloping 30-day moving average with a price above a long-term moving-average threshold. The prose refers to the previous day's price and a 250-day average, while the formula…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

This technical stock screen selects shares with a daily high-low range above one percent of the previous close, a high equal to the greater of the current and prior day's highs, and a weekly five-day moving average crossing above the ten-day average. The…

AkcijasTehniskie indikatoriCenas impulssCenas izrāviens
SuperMind

This stock screen targets companies in the metaverse theme that have a positive return and a bullish moving-average signal. Its formula reference uses a crossover of the five-day average above the ten-day average. The accompanying Python example instead…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document proposes screening Chinese stocks for daily price range above a threshold, market capitalization below a limit, positive net profit, and a minimum period since listing. It explains these filters as a way to focus on more volatile, smaller…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaTehniskie indikatori
SuperMind

The document describes an A-share stock screen that combines a 14-period RSI ceiling with the sign of price change multiplied by a five-day proxy for large-order flow. It also filters for positive auction-period price movement and buying activity, minimum…

AkcijasTehniskie indikatoriĶīnas tirgiTirgus mikrostruktūra
SuperMind

This Chinese-language post outlines an equity screening idea that combines a small market-cap ceiling, a history without losses, a weekly five-period moving average crossing above a ten-period average, and a daily increase in position holdings above a stated…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese stock-screening note combines price range, turnover, auction volume relative to prior trading volume, and Bollinger Bands. Its stated logic seeks stocks with amplitude above 1, a turnover-and-volume ratio between 0.5 and 2, and a closing price…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

This Chinese stock-screening note proposes selecting shares associated with the robotics concept, with turnover between 3% and 12%, free-float market capitalization below 10 billion yuan, and circulating shares no greater than 5.5 billion. It adds a…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This Chinese-language post describes an A-share stock screen focused on the metaverse industry. It selects stocks with a volume ratio between 1.5 and 6 and ranks candidates by capital-flow strength. The post explains volume ratio as a measure of trading…

AkcijasĶīnas tirgiTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This note describes a Chinese equity screen using three characteristics: turnover between 3% and 12%, an IPO year of 2021, and a specified daily maximum decline between 4% and 5%. It presents the rules as a way to identify stocks based on trading activity,…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This note proposes screening Chinese stocks for a recent positive but bounded price gain, alongside a narrow price band around 18.5 yuan. It also refers to a requirement that at least five moving averages converge, presenting that condition as a way to find…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This note describes a Chinese A-share stock screen that selects shares with turnover between 3% and 12%, excludes Beijing-listed stocks, and requires at least one limit-up event in the past month. The proposed rationale is that a recent limit-up may signal…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This post proposes selecting stocks with MACD above zero, upward-moving averages, and rising large-order net volume, then sorting candidates by that flow measure. It describes MACD as a trend filter, moving averages as a directional signal, and large-order…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This post describes a daily, after-close stock screen that requires MACD to be above zero and ranks eligible stocks by a popularity measure. Its final logic also calls for market capitalization above a stated threshold and excludes suspended stocks. The post…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus noskaņojums
SuperMind

The post proposes a Chinese equity screen that ranks stocks by market capital inflow, then selects companies below a stated market-cap ceiling that are not loss-making and have higher revenue in 2021 than in 2018. The written selection logic specifies…

AkcijasĶīnas tirgiFaktoru ieguldīšanaRiska pārvaldība
SuperMind

This overview surveys private fund investment approaches, outlining how managers combine asset selection, portfolio construction, and risk management. It covers equity long-only, long-short, and market-neutral strategies; managed futures trend and arbitrage…

Vairāku aktīvu tirdzniecībaAkcijasNākotnes līgumiArbitrāža
SuperMind

This post describes a Chinese equity screening rule that selects stocks in the metaverse sector when the prior day's price is above the 250-day moving average and daily MACD is positive. It frames sector membership as exposure to a popular theme and the…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document proposes an equity screen combining metaverse industry membership, a rounded price pattern, and an opening price near the 10-day moving average. It frames this combination as a way to identify lower-priced stocks with potentially favorable entry…

Ķīnas tirgiAkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This note proposes screening Chinese A-shares for a turnover rate between 3% and 12%, excluding Beijing-listed shares, then selecting the five stocks with the largest amount traded in the day’s auction. Its rationale is that high auction activity may…

Ķīnas tirgiAkcijasRīkojumu izpildeRiska pārvaldība
SuperMind

The note describes a Chinese A-share selection idea that combines price amplitude above one, three technical indicators crossing upward, and a connection to the metaverse. It presents the added metaverse condition as a way to target a popular emerging theme,…

Ķīnas tirgiAkcijasTehniskie indikatoriRiska pārvaldība
SuperMind

This Chinese A-share screen targets stocks in the metaverse theme with circulating share capital at or below 5.5 billion shares and a price gain below six percent at 9:25. The article presents the criteria as a way to focus on companies with a moderate float…

Ķīnas tirgiAkcijasRīkojumu izpildeRiska pārvaldība
SuperMind

This Chinese A-share screening idea looks for stocks with an intraday range greater than one percent, at least one limit-up event during the prior 25 days, and high current auction amount, selecting the top five by that measure. The article frames range as a…

Ķīnas tirgiAkcijasSvārstīgumsTirgus noskaņojums