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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
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
Binance API docs
Dokumentu skaits: 45
Quantopian lekcijas
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
WonderTrader
Dokumentu skaits: 14
Alphalens
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

The post proposes a stock screen that combines daily price amplitude above a threshold, a newly formed KDJ crossover, and a dividend ratio above a threshold based on 2019 data. It frames amplitude as a volatility filter, the crossover as a momentum or timing…

Ķīnas tirgiAkcijasTehniskie indikatoriSvārstīgums
SuperMind

This document describes a Chinese equity screening rule combining a turnover range of 3% to 12%, an external-to-internal trading volume ratio above 1.3, a robotics concept classification, and circulating market capitalization below 10 billion yuan. It also…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This Chinese equity screen combines daily price movement with dividend and institutional-holding filters. It seeks stocks with an intraday range above one percent of the opening price, a stated 2019 dividend measure above 25%, and a positive institutional…

AkcijasĶīnas tirgiSvārstīgumsFaktoru ieguldīšana
SuperMind

This Chinese equity screen focuses on stocks classified in the metaverse industry. It selects shares whose opening price falls within five percent above or below the 10-day simple moving average of closing prices, and whose current low is below the previous…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese equity screen combines trading activity, reported profit growth, volume, and opening price. It selects stocks with turnover between 3% and 12%, parent-company net profit growth above 20% and no more than 100%, current volume above 10,000 lots,…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese-language post describes a stock screen for the Metaverse sector. It selects shares with a volume ratio above 1.5 and below 6, then ranks candidates by stock popularity. Its proposed final version adds a price-to-earnings ratio below 30. The…

Ķīnas tirgiAkcijasCenas impulssUz notikumiem balstīta tirdzniecība
SuperMind

This A-share screening idea combines recent price strength with a moving-average condition. It looks for stocks with at least two limit-up sessions in the prior ten days, excludes stocks that closed at the limit-up level yesterday, and requires five…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This Chinese-market stock screen combines three criteria: membership in the metaverse theme, positive net buying by major participants during the opening auction, and a high ranking by large-order net flow. The stated intent is to favor themed shares showing…

Ķīnas tirgiAkcijasTirgus noskaņojumsTirgus mikrostruktūra
SuperMind

This A-share stock screen combines three conditions: turnover between 3% and 12%, an opening price within 5% of the 10-day moving average, and an indicated opening gain below 6%. The document presents the rules as a way to identify active stocks whose…

AkcijasĶīnas tirgiTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This Chinese stock-screening post describes selecting equities using a mix of a technical indicator, company classification filters, and recent candle behavior. Its stated conditions include MACD above zero, exclusion of several company types, and three…

AkcijasTehniskie indikatoriĶīnas tirgiVēsturisko datu pārbaude
SuperMind

This document proposes a Chinese stock screen combining daily price amplitude, a positive weekly MACD reading, and beverage or alcohol import and export data. Its stated logic looks for amplitude above 1, a bullish weekly histogram, and import values…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This document describes a Chinese equity screen for stocks with turnover between 3% and 12%, excluding the STAR Market and selecting companies listed in 2021. It presents the turnover band as a way to focus on stocks with some trading activity that may still…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

The document describes an equity screen requiring MACD above zero, a positive price-to-earnings ratio, and three consecutive declining sessions. Its explanation treats positive MACD as a sign of an upward trend, positive P/E as a basic valuation sanity…

Ķīnas tirgiAkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

The document describes a stock screen for companies whose codes begin with 60, with turnover between 3% and 12%, market capitalization below 10 billion yuan, and no losses in each of the prior three years. It frames these filters as a way to combine…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaStatistika
SuperMind

This A-share selection rule combines daily amplitude above 1, a reported daily control measure above 21, and a specified drawdown range between roughly 4% and 5%. The article presents the conditions as technical and market-flow signals, interpreting…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

This A-share screen combines RSI below 65, seven consecutive sessions with closes below opens, and previous-day actual turnover between 3% and 28%. The article explains turnover as a measure of trading activity and capital flow, using the band to avoid both…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

The document describes a stock screen combining three price conditions: amplitude above a threshold, a positive but capped ten-day return, and a run of consecutive declines. The stated rationale is to find volatile stocks that have recently risen without…

Ķīnas tirgiAkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This post describes a Chinese equity screen using a capital-strength measure, moderate turnover, and historical revenue growth. Capital strength is illustrated as trading value divided by tradable market capitalization. The turnover range is above 2% and…

AkcijasĶīnas tirgiFaktoru ieguldīšanaStatistika
SuperMind

This Chinese stock screening proposal combines price movement, trading activity, and an institutional-flow measure. Its stated final criteria select shares with amplitude above 1, previous-day actual turnover between 3% and 28%, and institutional direction…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This post describes a short-term stock selection rule built from three technical conditions: daily high-low range above one percent, opening price within two percent of the 10-day moving average, and MACD below zero two sessions earlier. It presents the…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This stock screen combines membership in the metaverse theme with a long-term price filter and rising moving averages. It selects stocks whose price is above the 250-day moving average and whose 5-, 10-, 20-, 30-, 60-, 120-, and 250-day averages are each…

AkcijasSekošana tendenceiTehniskie indikatoriĶīnas tirgi
SuperMind

The article proposes a Chinese stock screen combining an upward-sloping 30-day moving average, positive recent position increases above a stated threshold, and the absence of a limit-up session on the previous day. Its rationale is to seek stocks with an…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese equity screen selects stocks with turnover between 3% and 12%, year-over-year growth in parent-company net profit above 20% and at or below 100%, and at least two limit-up days during the prior 500 days. It also excludes selected growth-market…

Ķīnas tirgiAkcijasCenas impulssFaktoru ieguldīšana
SuperMind

This stock-selection approach screens for shares with prior-day amplitude above 1%, a listing on the previous day’s unusual-trading report, and an auction return between -2% and 5%. The proposed interpretation is that amplitude identifies active stocks, the…

Ķīnas tirgiAkcijasSvārstīgumsTirgus noskaņojums