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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
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 stock screen combines trading activity, earnings growth, and a recent price event. It selects shares with turnover between 3% and 12%, year-over-year growth in net profit attributable to the parent company above 20% and at most 100%, and at least one…

AkcijasCenas impulssUz notikumiem balstīta tirdzniecībaRiska pārvaldība
SuperMind

This stock screen selects companies listed in 2021 whose turnover is between 3% and 12% and whose previous-day trading value exceeds 60 million. It uses listing year as a cohort filter and combines it with measures of trading activity and liquidity. The…

AkcijasĶīnas tirgiTirgus mikrostruktūra
SuperMind

This stock-selection approach combines market activity with a profitability screen. It looks for shares with amplitude above 1, turnover between 2% and 9%, and return on equity above 15% for five consecutive years. The article presents ROE as a way to…

AkcijasFaktoru ieguldīšanaStatistikaRiska pārvaldība
SuperMind

This stock-screening idea combines daily price movement with technical signals. It selects shares with an amplitude above 1, simultaneous bullish crossovers in three indicators, and shortening green MACD histogram bars on a 15-minute chart. The article’s…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This post outlines a Chinese equity screen combining three signals: a position-increase share above 5%, net large-order inflow during the afternoon, and more than two limit-up sessions in the prior ten days. It interprets these as signs of recent capital…

AkcijasCenas impulssTirgus mikrostruktūraTehniskie indikatori
SuperMind

This Chinese-language post describes an equity screen using amplitude above 1, current trading volume above 10,000 lots, a higher open, and a rounded price pattern. It presents these conditions as signs of active trading and a potentially stable short-term…

AkcijasTehniskie indikatoriĶīnas tirgiRiska pārvaldība
SuperMind

This community post proposes a technical screen for Chinese A-share stocks. It selects shares with RSI below 65, seven consecutive down sessions, and at least one daily gain of 10% or more during the previous 25 trading days. The stated rationale combines a…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasCenas impulss
SuperMind

This article presents an A-share selection rule requiring turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders above 20% and no more than 100%, and positive net buying by major participants in the…

AkcijasĶīnas tirgiCenas impulssStatistika
SuperMind

The document describes an A-share stock screen combining daily price amplitude, turnover, and a convertible-bond name field. Its stated conditions require amplitude above 1%, a nonempty bond name, and turnover between 2% and 9%. It also gives…

AkcijasĶīnas tirgiTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This stock screen combines four filters: robot-concept membership, RSI below 65, seven consecutive bearish sessions, and free-float market capitalization below 10 billion. The note frames the combination as a way to find smaller thematic stocks after a…

AkcijasAtgriešanās pie vidējās vērtībasTehniskie indikatoriĶīnas tirgi
SuperMind

This stock selection method filters for metaverse-related companies that appeared on the previous day’s trading leaderboard and had large-order net volume above 0.05 for at least three consecutive days. It aims to track institutional or large-trader activity…

AkcijasĶīnas tirgiTirgus mikrostruktūraTehniskie indikatori
SuperMind

This note describes a stock screen for companies associated with the metaverse concept. It combines concept membership with a close above the previous session’s low and market capitalization above 200 million. The price condition is presented as a short-term…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This post proposes screening Chinese stocks using three conditions: a 2019 dividend payout ratio above 25%, no limit-up session on the previous day, and at least five moving averages converging. It presents moving-average convergence as a possible sign of…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This post proposes a technical stock screen combining daily price range, a recent sequence described as three consecutive limit-up sessions, and a close above the previous day’s low. It presents the conditions as a way to find volatile stocks that may be…

AkcijasĶīnas tirgiCenas izrāviensTehniskie indikatori
SuperMind

This post describes a stock screen for companies associated with the metaverse theme. Its stated conditions are previous-day actual turnover between 3% and 28% and MACD above zero. The rationale is that turnover may indicate trading activity, while a…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

The document presents a Chinese A-share stock screen that selects shares with turnover between 3% and 12%, excludes Beijing-listed A-shares, and removes stocks that hit the daily price limit on the previous day. Its stated rationale is to focus on a chosen…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This report examines whether investors could exploit price gaps when a heavily suspended Chinese stock resumed trading. The proposed approach models how repeated limit-down sessions affect the net asset value of funds holding the stock, then adjusts the…

Ķīnas tirgiAkcijasArbitrāžaUz notikumiem balstīta tirdzniecība
SuperMind

This post describes a Chinese stock screen that selects shares with price amplitude above 1 and positive institutional fund flow, while excluding Beijing-listed A shares. The accompanying indicator example defines fund direction by summing net institutional…

AkcijasĶīnas tirgiSvārstīgumsStatistika
SuperMind

This post outlines a China A-share stock screen using daily price amplitude, opening-auction amount rank, and volume ratio. It selects stocks with amplitude above 1, ranks them by auction amount to keep the top five, and applies a volume-ratio band above 1.5…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

This stock selection method combines a daily range filter, an opening-price condition relative to the 10-day moving average, and a recent price-gain condition. The stated criteria require amplitude above 1, an open within roughly five percent of the moving…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

The post outlines a Chinese equity screening idea combining membership in the metaverse sector, a prior price above the 250-day moving average, positive buying activity during the opening auction, and large or extra-large buy volume above a stated threshold.…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese equity screen selects stocks associated with the metaverse concept, requires the 30-day moving average to be rising, and excludes stocks that hit the daily limit-up on the previous session. The proposed rationale is to favor an upward trend…

AkcijasĶīnas tirgiSekošana tendenceiTehniskie indikatori