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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
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QuantInsti blog
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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
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Binance API docs
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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 Chinese-language article describes a short-term A-share screening rule based on price action and trend. It selects stocks with an amplitude above 1, a morning-star pattern, and a 20-day moving average above the 120-day moving average. The article also…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The proposed Chinese equity screen selects stocks with daily price movement above one percent, market capitalization below 10 billion yuan, and positive net profit, then ranks candidates by a measure described as capital strength. The text presents the…

AkcijasĶīnas tirgiTehniskie indikatoriPozīcijas apjoma noteikšana
SuperMind

This stock screen combines three conditions: price amplitude above a threshold, a KDJ reading below 20, and an IPO year of 2021. The accompanying explanation frames high amplitude as a way to find volatile stocks and low KDJ as a technical filter. It also…

AkcijasTehniskie indikatoriSvārstīgumsĶīnas tirgi
SuperMind

The proposed Chinese stock screen combines three daily-chart conditions: at least five moving averages converge, the KDJ indicator has just formed a bullish crossover, and the stock has recorded more than two limit-up sessions within ten days. The article…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock screen combines three conditions: a company is associated with the metaverse concept, its current close is above the previous day’s low, and a measure called today’s control or main-fund inflow exceeds a threshold. The article presents the price…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document introduces serial correlation, or autocorrelation, as a way to describe dependence between observations in a time series. It reviews expectation, variance, standard deviation, covariance, and correlation, then applies these ideas to time series.…

StatistikaRiska pārvaldība
SuperMind

The document describes a stock screen that requires price amplitude above 1 and RSI below 65, then ranks candidates by capital-flow strength. It defines amplitude from the day’s high and low relative to the previous close, and describes a flow proxy that…

AkcijasTehniskie indikatoriCenas impulssStatistika
SuperMind

This Chinese-equity screening recipe filters for stocks with an amplitude above one, current volume above ten thousand lots, a higher open, and a positive ten-day gain below thirty-five percent. The article interprets amplitude and volume as signs of trading…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This Chinese-equity screening idea combines three signals: rank stocks by trading volume strength, rank them by market attention using leaderboard data, and select stocks whose 15-minute MACD histogram shows shrinking negative bars. The proposed logic treats…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese A-share screening proposal combines three filters: RSI below 65, a daily gain above 1%, and turnover between 2% and 9%. It limits the universe to main-board stocks. The rationale offered is that RSI below the threshold may leave room for a…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This stock-selection approach combines four filters: daily amplitude above 1, a listing age greater than one year, market capitalization below 10 billion yuan, and positive net income in each of the most recent four quarters. The accompanying sample workflow…

AkcijasĶīnas tirgiSvārstīgumsFaktoru ieguldīšana
SuperMind

This strategy ranks constituents of the CSI 300 by their trailing 12-month dividend yield and selects the ten highest-ranked stocks. It updates the target list on the first trading day of each month, sells names that leave the selection, and buys newly…

AkcijasĶīnas tirgiFaktoru ieguldīšanaPortfeļa veidošana
SuperMind

This note describes a Chinese equity screen combining a 14-period RSI below 65, a qualitative filter for desirable enterprise characteristics, and a comparison of the 20-day and 120-day moving averages. The initial rule requires the shorter average to be…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This screening method targets Shenzhen main-board stocks using a rising 30-day moving average, an amplitude threshold, and valuation ranges. The stated criteria are amplitude above 1%, price-to-earnings ratio from 0 to 29.01, and price-to-book ratio from 0…

AkcijasTehniskie indikatoriFaktoru ieguldīšanaĶīnas tirgi
SuperMind

This stock-screening rule combines daily turnover, the opening price relative to a 10-day moving average, and a 15-minute MACD histogram signal. It selects stocks with turnover between 3% and 12%, an open within 5% of the average, and a shortening negative…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

This proposed stock screen focuses on the metaverse industry. It selects stocks whose opening price is within 5% of the 10-day simple moving average of closing prices, then aims to exclude stocks that reached the daily price limit on the previous day. The…

AkcijasTehniskie indikatoriĶīnas tirgiCenas impulss
SuperMind

The screen combines three conditions: daily price amplitude above 1%, weekly MACD above zero, and appearance on the prior day’s trading activity leaderboard. The article frames amplitude and MACD as measures of price movement and trend, while leaderboard…

AkcijasTehniskie indikatoriCenas impulssTirgus mikrostruktūra
SuperMind

This post outlines a short-term stock screen using three signals: daily price amplitude above a threshold, circulating market value above a minimum, and a positive combination of price change and net flow from very large orders. It also limits the example…

AkcijasCenas impulssTirgus noskaņojumsTirgus mikrostruktūra
SuperMind

The document outlines an A-share stock screen combining a turnover-rate band, a market-cap ceiling, and a positive-profitability condition with a threshold for the day’s increase in holdings. Its rationale is that the holdings-change measure may help…

Ķīnas tirgiAkcijasCenas impulssFaktoru ieguldīšana
SuperMind

The document describes a Chinese equity screen that combines a robotics concept classification with a circulating market capitalization below 10 billion yuan, a turnover range, and positive returns. Its stated final rule tightens the return requirement to…

AkcijasĶīnas tirgiFaktoru ieguldīšanaTehniskie indikatori
SuperMind

The article proposes a Chinese equity screen combining price amplitude above a stated threshold, a morning star candlestick condition, and prior-day turnover above a stated threshold. Its example formula also includes a gap condition. The accompanying Python…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language post proposes selecting stocks with daily amplitude above one, ranking among the top five by the day’s auction amount, and a specified range for yesterday’s turnover rate adjusted by the ratio of today’s auction volume to the previous…

Ķīnas tirgiAkcijasTirgus mikrostruktūraTehniskie indikatori
SuperMind

This Chinese-language post outlines an equity screen built around price activity and recent limit-up behavior. Its starting conditions are a daily amplitude above one, a three-session limit-up streak ending the previous day, and more than two limit-up days…

Ķīnas tirgiAkcijasCenas impulssCenas izrāviens
SuperMind

This Chinese equities screen combines daily amplitude above 1 with relative volume between 1.5 and 6, a measure involving the prior day’s turnover and the current opening auction volume relative to the previous day’s volume, and an opening price below the…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums