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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
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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
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
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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 post describes a Chinese A-share stock screen combining a reported daily position increase above 5%, an external-to-internal trading volume ratio above 1.3, and a market capitalization ceiling of 10 billion yuan. It presents these as signs of recent…

AkcijasĶīnas tirgiTirgus mikrostruktūraTehniskie indikatori
SuperMind

The article presents a Chinese equity screening idea that combines a six-period RSI below 65, association with the metaverse theme, and at least two limit-up moves within a 500-day window. It frames the conditions as a way to combine a measure of market…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This note proposes screening Chinese A-shares for daily amplitude above 1%, excluding names containing a Beijing reference, and selecting stocks associated with 2021. It gives formula and Python examples that calculate the high-low range relative to the low,…

AkcijasSvārstīgumsTehniskie indikatoriĶīnas tirgi
SuperMind

This note describes a Chinese equity screen combining turnover, industry classification, and a price comparison. It selects beverage and alcohol import or export stocks with turnover between 3% and 12%, and a closing price above the previous session’s low.…

AkcijasTehniskie indikatoriĶīnas tirgiRiska pārvaldība
SuperMind

This Chinese equity screen looks for stocks with amplitude above 1, a prior-day 9:15 matching price at the limit-down level, and a MACD value below zero from two days earlier. The final rule adds a market-capitalization floor of 1 billion yuan. The article…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

The article describes a Chinese stock screen combining three ideas: several moving averages clustered together, turnover within a specified band, and a 20-day moving average above the 120-day average. It interprets clustered averages as alignment across time…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese A-share screening rule selects stocks with turnover between 3% and 12% that appeared on the previous day’s Dragon-Tiger List, while excluding Beijing-listed shares. The document presents the conditions as a way to narrow candidates using trading…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

The document proposes a Chinese A-share screening rule for companies classified in the metaverse industry. It looks for stocks listed on the prior day’s Dragon-Tiger list and with a closing price lower on each of the preceding seven sessions. The rationale…

AkcijasĶīnas tirgiAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

The document describes an A-share stock screen combining a 14-period RSI below 65, an estimated outer-to-inner trading volume ratio above 1.3, daily amplitude above 1%, and trailing price-to-earnings below 30. It explains the intended rationale: use RSI and…

AkcijasTehniskie indikatoriTirgus noskaņojumsRiska pārvaldība
SuperMind

This proposed stock screen selects Chinese equities with a daily price range above a threshold, no limit-up close on the prior day, and a positive institutional-flow measure. The explanation presents the range condition as a way to find active stocks and the…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This proposed Chinese equity screen combines three conditions: at least five moving averages converging, a rounded-bottom price shape, and at least two limit-up sessions within the past 500 days. The accompanying explanation interprets converging averages as…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock screen combines three conditions: association with the metaverse theme, positive net buying by major participants during the opening auction, and revenue in 2021 more than 1.1 times its 2018 level. The post presents the combination as a way to…

AkcijasĶīnas tirgiTirgus noskaņojumsUz notikumiem balstīta tirdzniecība
SuperMind

This A-share selection rule first screens for turnover between 3% and 12%, market capitalization below 10 billion yuan, and companies described as having no losses. It then ranks qualifying shares by the day’s auction amount and proposes investing in the top…

AkcijasĶīnas tirgiRīkojumu izpildeTirgus noskaņojums
SuperMind

This A-share screening idea combines a turnover-rate band of 3% to 12% with seven consecutive daily declines, membership in the robotics concept group, and circulating market capitalization below 10 billion yuan. The post presents the criteria as a way to…

AkcijasĶīnas tirgiAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

This note describes a Chinese equity screen combining a price-movement threshold, the presence of an outstanding convertible bond name, and a circulating market value band of 5–10 billion yuan. It presents the conditions as a way to combine short-term price…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

This stock-selection rule filters for a circulating market capitalization above 10 billion yuan, a recent amplitude above 1, and a ten-day price change greater than zero but below 35%. Its stated aim is to find relatively large stocks with notable price…

AkcijasĶīnas tirgiCenas impulssSvārstīgums
SuperMind

This stock screen combines a turnover rate between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders above 20% and no more than 100%, and a price pattern described as a rising bottom. The accompanying indicator logic…

AkcijasĶīnas tirgiAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

This post describes a stock screen for Chinese equities that selects names with turnover in a specified range, excludes Beijing-listed shares, and requires relative trading volume to fall within stated lower and upper bounds. The stated aim is to find stocks…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This post proposes a Chinese A-share stock screen combining price movement, a measure of daily control, and buying activity in large and very large orders during the auction. It also suggests adding a dividend yield or PEG condition. The rationale is to…

AkcijasĶīnas tirgiCenas impulssTirgus mikrostruktūra
SuperMind

This equity screen selects stocks with amplitude above 1, rising lows, and a 14-period RSI below 65. The conditions aim to identify shares that have substantial movement while showing a rising price floor and avoiding an overly high RSI reading. The document…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This stock screen combines daily price amplitude above 1, a positive weekly MACD histogram, and an outside-to-inside trade ratio above 1.3. It is intended to find shares with active price movement, a positive weekly technical signal, and buying-side…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

This beginner overview explains Chainlink as a decentralized oracle network that connects smart contracts with external data and computation. It describes data feeds, lower-latency data streams, cross-chain messaging, developer functions, automation, and…

KriptoaktīviDeFiBlokķēdes datiTirgus mikrostruktūra