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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
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
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

The document proposes an A-share stock screen combining daily price amplitude, a specified share-price level, and a weekly close above its 30-week moving average. It presents the rules as a way to combine volatility, a price filter, and a trend signal. It…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

This A-share screening idea selects stocks with RSI below 65, seven consecutive down days, and an opening move below 6% at 9:25. It combines a technical condition, an extended run of declining sessions, and a limit on the current day's early price change.…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasĶīnas tirgi
SuperMind

This document outlines an A-share stock screen combining daily amplitude above 1, a share price above its five-day moving average, and a rounded upward price pattern. It interprets higher amplitude as evidence of trading activity and the moving-average and…

AkcijasTehniskie indikatoriSekošana tendenceiRiska pārvaldība
SuperMind

The document outlines an A-share stock selection rule that starts with companies reporting no losses, market capitalization below 10 billion yuan, and turnover between 3% and 12%. It then selects firms whose 2019 dividend ratio exceeds 25%, presenting…

AkcijasĶīnas tirgiFaktoru ieguldīšana
SuperMind

This Chinese equity screening idea selects stocks with price amplitude above 1%, positive afternoon large-order net inflow, and an exclusion for companies categorized in Beijing. The post treats amplitude as a sign of active price movement and the order-flow…

AkcijasĶīnas tirgiTirgus mikrostruktūraTehniskie indikatori
SuperMind

This Chinese equity screen combines daily price amplitude above 1%, circulating market value above 10 billion yuan, and a ratio of 2021 revenue to 2018 revenue above 1.1. The conditions aim to select stocks with noticeable price movement, larger market…

AkcijasĶīnas tirgiFaktoru ieguldīšanaTehniskie indikatori
SuperMind

This document describes a Chinese equity screen combining a turnover range, a cap on circulating shares or market value, a minimum current volume, and an opening price above the prior close. The intended rationale is to find liquid, actively traded stocks…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese-language post describes a stock selection screen using three conditions: turnover between 3% and 12%, appearance on the market’s trading leaderboard the previous day, and circulating share count no greater than 5.5 billion. It frames the…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

The document outlines a financial time-series study using returns on the CSI 300 index. It says the analysis applies TGARCH and related derivative models, compares their behavior, and attempts to fit and forecast both prices and volatility. This frames…

AkcijasĶīnas tirgiSvārstīgumsStatistika
SuperMind

This post describes a Chinese equity screen that combines three conditions: daily price range greater than one percent, a trading date in 2021, and a nonempty name for an outstanding convertible bond. It provides example implementations in a charting formula…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

This Chinese stock-selection post combines three screening ideas: rank stocks by turnover or “fund strength,” rank them by net large-order volume, and require positive but capped gains over the recent ten trading days. It describes turnover as a proxy for…

AkcijasĶīnas tirgiCenas impulssTirgus mikrostruktūra
SuperMind

This document presents a Chinese stock screening rule that combines a five-period amplitude threshold, a change in a proxy for institutional trading activity, and a newly formed bullish KDJ crossover. The crossover condition requires the J line to move above…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock-selection rule combines turnover between 3% and 12% with a rising DEA condition and a KDJ stochastic K reading from 0 to 20. The post describes the low K reading as a possible trough area and treats rising DEA as a sign of improving trend.…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This Chinese equity screen selects main-board stocks linked to the robotics concept, with turnover between 3% and 12%, floating market value below 10 billion yuan, and prior-day trading value above 60 million yuan. It combines a theme classification with…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This stock-selection proposal screens Chinese equities using three conditions: RSI below 65, circulating market capitalization between 5 billion and 10 billion yuan, and turnover between 2% and 9%. It presents the screen as a way to combine a technical…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document introduces the Sharpe ratio as a measure of excess return per unit of portfolio risk, then describes a method for forecasting how that ratio changes over time. It outlines an approach associated with Whitelaw that estimates Sharpe ratios from…

AkcijasĶīnas tirgiStatistikaSvārstīgums
SuperMind

This Chinese-language post proposes a short-term stock selection screen using daily amplitude, a measure described as today’s controlling-shareholder change, and a ratio combining yesterday’s turnover with today’s auction volume relative to yesterday’s…

AkcijasĶīnas tirgiTehniskie indikatoriStatistika
SuperMind

This proposed screen selects main-board stocks using an RSI ceiling, a positive daily gain, and a comparison involving the prior session's opening auction price. Eligible stocks are ranked by auction amount, with the highest-ranked names selected for a small…

AkcijasTehniskie indikatoriCenas impulssRīkojumu izpilde
SuperMind

This stock screen combines a daily price-range threshold with MACD conditions and a 15-minute chart signal. It looks for stocks whose intraday MACD histogram bars are getting shorter, alongside a prior MACD reading condition, with the idea that short-term…

AkcijasTehniskie indikatoriCenas impulssStatistika
SuperMind

This A-share screening rule combines a current amplitude threshold with a prior-day signal involving the 9:15 matched price and limit-down conditions. It also excludes Beijing-listed shares and, in the final version, ST-designated stocks. The article…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This A-share screening idea combines three conditions: MACD above zero, positive trailing P/E, and at least one limit-up day within the prior 25 days. It proposes running the screen before each trading session and sorting selected stocks by daily price…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese equity screen filters for stocks in the beverage and alcohol import-export sector, with amplitude above 1 and a positive ten-day return below 35%. The stated rationale is to focus on shares showing price movement and recent gains that have not…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori