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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
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SuperMind
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OKX Learn
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Strategy library
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MQL5 code base
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BigQuant
Dokumentu skaits: 3,481
Bitget Academy
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MQL5 articles
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TradingView scripts
Dokumentu skaits: 1,976
ProRealCode
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Deribit Insights
Dokumentu skaits: 1,232
Machine Learning for Trading
Dokumentu skaits: 1,124
arXiv papers
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Amberdata research
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FMZ forum
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FMZ digest
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vn.py community
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QuantInsti blog
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Galaxy Research
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QuantStart
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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
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Binance API docs
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Quantopian lekcijas
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FMZ guides
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pysystemtrade
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Freqtrade docs
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quant-trading
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FinRL
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Zipline
Dokumentu skaits: 22
FMZ live strategies
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Jesse
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pyfolio
Dokumentu skaits: 16
WonderTrader
Dokumentu skaits: 14
Alphalens
Dokumentu skaits: 14
backtesting.py
Dokumentu skaits: 11
Technical Analysis
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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 Chinese-language forum exchange discusses excluding special-treatment, suspended, and delisted shares from a stock universe. A reply provides two approaches based on historical name-change records: retrieve securities available around the relevant date,…

AkcijasĶīnas tirgiRiska pārvaldībaRīkojumu izpilde
SuperMind

This stock-selection concept combines recent limit-up activity with moving-average behavior. It proposes finding shares where at least five moving averages converge, where there was a limit-up event within the preceding 25 days, and where limit-up events…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This screening concept combines three conditions: intraday range greater than 1, at least one daily gain of 10% or more during the preceding 25 trading days, and a current gain between -5% and 2.6%. It aims to find shares that have shown a sharp prior move…

AkcijasĶīnas tirgiSvārstīgumsCenas impulss
SuperMind

This stock-screening idea targets mainboard equities with turnover between 3% and 12%, a daily gain above 1%, and large-order net volume above 0.05 for at least three consecutive days. It combines trading activity, recent price strength, and a measure of…

AkcijasĶīnas tirgiCenas impulssTirgus mikrostruktūra
SuperMind

This proposed Chinese equity screen selects stocks with amplitude above 1, a weekly five-period moving average crossing above the ten-period average, and a stated increase in position holding above 5% for the day. The accompanying rationale combines a…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock screen requires turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders between 20% and 100%, and a share price above its 250-day moving average. It combines a trading-activity range and a…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This stock-selection proposal combines three filters: membership in the metaverse sector, positive institutional activity, and a positive share-price return during 2021. It frames institutional buying as a potentially useful signal and past gains as evidence…

Ķīnas tirgiAkcijasCenas impulssTirgus noskaņojums
SuperMind

This post proposes a rules-based screen for Chinese A-share stocks in a designated metaverse sector. It combines a recent trading-activity condition with a profitability filter requiring return on equity above a stated threshold across five consecutive…

AkcijasFaktoru ieguldīšanaCenas impulssĶīnas tirgi
SuperMind

This weekly report compares machine-learning stock-selection portfolios across several Chinese equity universes: broad-market stocks without industry neutralization, broad-market selections neutralized to the CSI 300 or CSI 500 industries, and selections…

Ķīnas tirgiAkcijasMašīnmācīšanāsVēsturisko datu pārbaude
SuperMind

This stock screen combines a daily turnover range of 3% to 12%, a reversal or engulfing-style candle condition, and a stochastic K reading at or below 20. The article presents screening logic and sample indicator calculations: it derives ratios from the…

Ķīnas tirgiAkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This proposed stock screen selects shares with an amplitude above 1, three moving averages in a bullish ordering, and a ratio of active buying volume to active selling volume above a threshold. The article names amplitude and moving-average indicators and…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This proposed A-share stock screen filters for companies with turnover between 3% and 12%, market capitalization below 10 billion yuan, and no losses, then selects stocks with daily returns from −5% to 2.6%. The accompanying formula and Python example…

AkcijasĶīnas tirgiFaktoru ieguldīšanaVēsturisko datu pārbaude
SuperMind

This note outlines a Chinese equity screen that combines a minimum listing age, an amplitude condition, and return on equity above a threshold across five consecutive years. It explains ROE as a measure of profitability and capital use, and includes an…

AkcijasĶīnas tirgiFaktoru ieguldīšana
SuperMind

This note describes a Chinese equity screen for companies in the metaverse theme, with a minimum floating market capitalization and price and valuation limits. Its final version adds a price-to-earnings threshold to the theme, capitalization, and low…

AkcijasĶīnas tirgiFaktoru ieguldīšana
SuperMind

The document proposes screening Chinese stocks for a turnover rate between 3% and 12%, a ten-day gain above zero and below 35%, and a listing age greater than one year. It says to run the screen before 10 a.m. The stated rationale is to combine trading…

AkcijasCenas impulssĶīnas tirgiTehniskie indikatori
SuperMind

The document describes a short-term Chinese stock screen combining price range, recent trading activity, current volume, and a positive opening gap. Its stated criteria are amplitude above one, previous-day actual turnover between 3% and 28%, current volume…

AkcijasTehniskie indikatoriĶīnas tirgiCenas impulss
SuperMind

The post proposes a stock screen combining a daily high-low range threshold, rising price lows, and return on equity above 15% for five consecutive years. Its rationale is to pair a technical sign of improving price support with a record of strong…

AkcijasĶīnas tirgiFaktoru ieguldīšanaTehniskie indikatori
SuperMind

This equity screen combines a daily turnover range of 3% to 12%, year-over-year net profit growth greater than 20% and no more than 100%, and a candlestick pattern described as a morning star. The post presents formula and Python examples for applying these…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This stock screen combines membership in the metaverse industry with a positive return condition and profit growth during 2021. Its formula examples express the return filter as the latest close exceeding the prior close, and compare net profit with its…

AkcijasĶīnas tirgiCenas impulss
SuperMind

This post describes an A-share stock screen combining three conditions: a measure of the day’s position increase above a threshold, three consecutive sessions with falling closing prices, and a dividend ratio above a threshold for a specified past year. It…

AkcijasĶīnas tirgiCenas impulssFaktoru ieguldīšana
SuperMind

This Chinese equity screening example selects stocks whose daily high-low range exceeds 1% of the previous close, requires at least two prior limit-up events over a 500-day lookback, and ranks qualifying names by the current day’s opening-auction amount,…

AkcijasTehniskie indikatoriCenas izrāviensĶīnas tirgi
SuperMind

This Chinese stock-screening example ranks companies by capital-flow strength and combines that ranking with a historical dividend payout filter and revenue growth between 2018 and 2021. The initial criteria use a payout ratio above 25% and revenue in 2021…

AkcijasFaktoru ieguldīšanaĶīnas tirgiVēsturisko datu pārbaude
SuperMind

This proposed Chinese equity screen combines daily amplitude above 1 with a scaled activity measure: prior-day turnover multiplied by the ratio of current opening-auction volume to prior-day volume, constrained to a stated range of 0.5 to 2. The original…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums