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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
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

This note describes a stock screen using three signals: at least five moving averages converging, turnover within a specified range, and more than two limit-up days over a recent window. Its discussion frames clustered averages as relatively stable price…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This note outlines a stock screen combining three conditions: RSI below 65, revenue in 2021 more than 1.1 times revenue in 2018, and shrinking negative MACD bars on a 15-minute interval. It presents the approach as a mix of fundamental growth and technical…

AkcijasĶīnas tirgiTehniskie indikatoriStatistika
SuperMind

This note proposes screening stocks for convergence among five moving averages: 5, 10, 20, 30, and 60 days. It combines that condition with a positive but capped 10-day price gain and an upward-sloping 30-day average. The explanation treats clustered…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This note describes an A-share stock screen requiring a robotics concept classification, turnover between 3% and 12%, circulating market value below 10 billion yuan, and a listing date in 2021 or later. Its rationale is that newly listed robotics stocks may…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This Chinese equity screen selects stocks with turnover between 3% and 12%, an opening price within 5% of the 10-day moving average, and a closing price below 12 yuan. The stated idea is to combine trading activity with proximity to a short-term average…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This Chinese equity screen combines three technical conditions: at least five moving averages clustered together, an opening price near the 10-day moving average, and more than two limit-up sessions within the prior 10 days. The post describes clustered…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This note describes a Chinese equity screening rule that ranks stocks by trading volume or capital strength, requires a circulating market value above 200 million yuan, and excludes stocks whose gain at 9:25 exceeds 6%. The stated rationale is to favor…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

The document proposes a Chinese stock screen using three signals: rank by turnover as a proxy for capital activity, rank by net large-order volume as a measure of aggressive buying versus selling, and retain stocks whose indicated pre-open gain at 9:25 is…

Ķīnas tirgiAkcijasTirgus mikrostruktūraCenas impulss
SuperMind

This Chinese equity screen combines a daily position-increase ratio above 5%, yesterday's closing price above its 250-day moving average, and a 20-day moving average above the 120-day average. The note interprets the position-change measure as a possible…

AkcijasĶīnas tirgiSekošana tendenceiTehniskie indikatori
SuperMind

The proposed Chinese equity screen requires turnover between 3% and 12%, an opening price within 5% of the ten-day moving average, and a recently formed KDJ golden cross. The approach combines a trading-activity filter, a short-term price-location condition,…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese equity selection approach combines three signals: at least two limit-up sessions within ten days, institutional-only seats appearing in exchange trading disclosures, and a high volume ratio, with the latter ranked among the top 100 stocks. The…

AkcijasĶīnas tirgiCenas impulssTirgus noskaņojums
SuperMind

This note describes a Chinese equity screening idea based on a turnover range of 3% to 12%, a circulating share count capped at 5.5 billion shares, and a nonempty name for an outstanding convertible bond. It frames turnover as a liquidity filter and bond…

AkcijasĶīnas tirgiFiksēta ienākuma instrumenti
SuperMind

This article outlines a Chinese equity selection approach that ranks stocks by capital-flow strength, requires a minimum circulating market value, and looks for repeated limit-up sessions over a recent window. Its expanded version adds valuation filters,…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This note presents a screen for main-board Chinese equities using a turnover range, a reversal or engulfing-style pattern, and a daily gain threshold. Its formula adds a mainland market listing condition and orders candidates by market capitalization. The…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This note describes a Chinese equity screen combining price movement, a morning star pattern, and a historical dividend threshold. It also references excluding special-treatment stocks and presents an indicator formula and a Python example intended to…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock-selection proposal combines a positive but limited 10-day gain, a concentration measure below 20%, and at least five overlapping moving averages. It defines concentration as the difference between a short moving average and a longer one, divided…

AkcijasTehniskie indikatoriStatistikaĶīnas tirgi
SuperMind

The proposed screen looks for companies with market capitalization below 10 billion yuan and no reported losses, alongside a current trading volume above 10,000 lots, a higher open, and at least five overlapping moving averages. The article associates…

AkcijasTehniskie indikatoriRiska pārvaldībaĶīnas tirgi
SuperMind

This proposed stock screen combines three conditions: the 20-day moving average is above the 120-day average, the stock is up more than 1% on the day, and its reported increase in holdings exceeds 5%. The article interprets the moving-average relationship as…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This stock screen combines daily price amplitude above 1% with turnover above 2% and no more than 9%, limited to trading dates in 2021. It is presented as a way to find shares with meaningful price movement and moderate trading activity. The document gives a…

AkcijasSvārstīgumsTehniskie indikatoriĶīnas tirgi
SuperMind

This note describes screening Chinese main-board stocks for turnover between 3% and 12%, a reversal-style pattern called a rebound, and a ratio of outside-market to inside-market volume above 1.3. The proposed interpretation is that the reversal pattern…

Ķīnas tirgiAkcijasAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

This note proposes a short-term screen for Chinese stocks that combines turnover, a robot-industry classification, free-float market value, and auction-period order flow. It describes selecting stocks with turnover between 3% and 12% and float value below 10…

Ķīnas tirgiAkcijasRīkojumu izpildeTirgus mikrostruktūra
SuperMind

This note outlines a stock-selection approach that ranks companies by capital-flow intensity and market attention, then considers revenue growth by comparing 2021 revenue with 2018 revenue. The initial rule specifies a ratio above 1.1. The proposed final…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaTirgus noskaņojums
SuperMind

This note describes a Chinese main-board stock screen combining turnover, a robot-industry theme, free-float market value, and past price highs. It selects stocks with turnover between 3% and 12%, float value below 10 billion yuan, and at least two instances…

Ķīnas tirgiAkcijasCenas izrāviensTehniskie indikatori