Pāriet uz saturu

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
Lumibot strategies
Dokumentu skaits: 7
QuantRocket
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 12,226

SuperMind

This document presents an A-share stock screen that combines a turnover range of 3% to 12%, a newly formed KDJ golden cross, and a volume ratio between 1.5 and 6. It describes turnover and the crossover as participation and trend signals, while the volume…

AkcijasTehniskie indikatoriCenas impulssTirgus mikrostruktūra
SuperMind

This A-share selection rule filters for stocks in the beverage and alcohol import-export industry, with turnover between 3% and 12% and at least one limit-up event during the prior 25 days. The post explains the turnover range as a way to seek moderate…

AkcijasĶīnas tirgiCenas impulssTirgus noskaņojums
SuperMind

This A-share screening idea selects stocks with a MACD line above zero, high relative investor attention, trading volume above a stated threshold, and an opening price above the previous close. The screen is run after the daily close. Its rationale is to…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This post describes a Chinese A-share stock screen based on three conditions: price amplitude above one percent, a nonempty name for an outstanding convertible bond, and at least one daily gain of ten percent or more during the previous 25 trading days. It…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This document proposes screening Chinese stocks with codes beginning in 60 for turnover between 3% and 12% that appeared on the prior day’s market watchlist, known as the Dragon and Tiger List. Turnover is treated as a liquidity filter, while the watchlist…

AkcijasĶīnas tirgiTirgus mikrostruktūraTirgus noskaņojums
SuperMind

This document describes a stock selection screen combining three conditions: prior-session price range greater than 1%, the current open within 5% of the 10-day moving average, and turnover above 60 million. It presents the conditions as indicators of recent…

AkcijasSvārstīgumsTehniskie indikatoriCenas impulss
SuperMind

This document presents a Chinese equity screening rule that selects stocks with turnover between 3% and 12%, circulating market value between 5 billion and 10 billion yuan, and a positive 10-day price return below 35%. It frames turnover as a measure of…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

The post proposes a stock-selection screen based on three conditions: RSI below 65, seven consecutive declining sessions, and previous-day turnover above 8%. It frames RSI and the run of down sessions as technical filters, with turnover as a measure of…

AkcijasTehniskie indikatoriCenas impulssStatistika
SuperMind

The post proposes a short-term stock-selection rule combining daily amplitude, the 9:25 price gain, and a product of price change and a large-order net-flow measure. It screens for stocks with amplitude above one, a 9:25 gain below six percent, and a…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This post outlines a Chinese equity screen for stocks classified in the metaverse industry. It ranks candidates by the day’s opening-auction amount, keeps the top five, and restricts the auction price change to between -2% and 5%. The post gives…

AkcijasĶīnas tirgiCenas impulssRīkojumu izpilde
SuperMind

This post describes a Chinese equity screen that selects stocks with a daily high-low range above 1%, at least two apparent limit-up moves over the preceding 500 days, and prior-day turnover above 60 million. It presents both indicator-style conditions and a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock-selection rule screens for shares with turnover between 3% and 12%, circulating market value between 5 billion and 10 billion yuan, and a proprietary “today control” measure above 21. The post presents the combination as a way to find stocks with…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

The document describes a Chinese equity strategy that first screens for companies with high dividend yields, PEG below one, and share prices between 3 and 15, then selects stocks with market capitalizations below 10 billion yuan. It frames these rules as a…

AkcijasFaktoru ieguldīšanaĶīnas tirgiVēsturisko datu pārbaude
SuperMind

This stock-selection recipe screens mainland China main-board shares using three conditions: RSI below 65, a daily gain above 1%, and a 9:25 change below 6%. The author presents the RSI threshold as a way to find shares with room to rebound, the positive…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The report presents a framework for dynamically adjusting multi-factor portfolio weights by forecasting factor returns and their covariance. It replaces unconditional expectations with conditional expectations based on external market variables, allowing…

AkcijasFaktoru ieguldīšanaPortfeļa veidošanaVēsturisko datu pārbaude
SuperMind

The document presents a Chinese equities screening idea focused on beverage manufacturing stocks. It filters for turnover rates between 3% and 12% and a ratio of outside to inside trading volume above 1.3, with the sector described as having active beverage…

AkcijasĶīnas tirgiTehniskie indikatoriPozīcijas apjoma noteikšana
SuperMind

The document presents a short-term stock screen combining daily price range, positive large-order net volume over several consecutive days, and a stock-code prefix. Its stated final conditions are amplitude above one, net volume above 0.05 for at least three…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This proposed Chinese stock screen combines turnover between 3% and 12% with a positive product of the day’s price change and net large-order flow, plus daily position growth above 5%. The article presents the product as a way to relate the direction of…

AkcijasĶīnas tirgiTirgus mikrostruktūraCenas impulss
SuperMind

The proposed Chinese equity screen selects stocks with daily amplitude above 1, turnover between 2% and 9%, and a stated share-float ceiling of 5.5 billion shares. The intended rationale is to find stocks with notable price movement and trading activity…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

The document outlines a Chinese equity screening approach that starts with price amplitude, a minimum market capitalization, and a comparison of 2021 revenue with 2018 revenue. It discusses limitations of relying on revenue growth alone, including omitted…

AkcijasĶīnas tirgiFaktoru ieguldīšanaRiska pārvaldība