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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
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Strategy library
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MQL5 code base
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BigQuant
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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
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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
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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
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Quantopian lekcijas
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FMZ guides
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pysystemtrade
Dokumentu skaits: 34
Freqtrade docs
Dokumentu skaits: 32
quant-trading
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FinRL
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Zipline
Dokumentu skaits: 22
FMZ live strategies
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Jesse
Dokumentu skaits: 17
pyfolio
Dokumentu skaits: 16
Alphalens
Dokumentu skaits: 14
WonderTrader
Dokumentu skaits: 14
backtesting.py
Dokumentu skaits: 11
Technical Analysis
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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 post describes a Chinese stock-selection screen based on daily amplitude above 1, a turnover-based measure between 0.5 and 2 that combines the prior day's turnover with the current auction volume relative to the prior day's volume, and a stated price…

AkcijasTehniskie indikatoriĶīnas tirgiVēsturisko datu pārbaude
SuperMind

This Chinese-language post describes an equity screen combining three conditions: price amplitude above a threshold, a dividend payout ratio above a threshold for 2019, and a MACD value below zero two trading days earlier. The rationale is to combine a…

AkcijasTehniskie indikatoriFaktoru ieguldīšanaĶīnas tirgi
SuperMind

This post outlines a Chinese stock screen using a 2019 dividend-ratio threshold above 25%, an RSI below 65, and a rule excluding stocks that hit the daily price limit on the prior day. Its stated final selection logic adds price-to-earnings below 50 and…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This post describes a Chinese equity screen combining three filters: market capitalization below 10 billion yuan, no loss history, and a high ranking on large-order net flow or capital strength. The proposed rationale is that smaller profitable companies…

AkcijasĶīnas tirgiTirgus mikrostruktūraTehniskie indikatori
SuperMind

This A-share screen looks for stocks with daily price amplitude above 1%, a volume ratio between 1.5 and 6, and at least one daily gain of 10% or more during the preceding 25 trading days. The stated logic seeks active but not extreme trading and recent…

AkcijasĶīnas tirgiSvārstīgumsCenas impulss
SuperMind

This proposed A-share screen combines capital-strength ranking, the five stocks with the highest auction amount for the day, and a dividend ratio above 25% in 2019. Its expanded final logic adds price-to-earnings below 30, price-to-book above 1, a bullish…

AkcijasĶīnas tirgiFaktoru ieguldīšanaTehniskie indikatori
SuperMind

This A-share stock screen combines a relative strength index below 65 with an external-to-internal trade volume ratio above 1.3 and a positive institutional-flow measure. It presents the indicators as a way to combine a technical condition with trading…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus noskaņojums
SuperMind

This note describes an A-share stock screen that first requires price amplitude above a threshold and at least three years since listing, then ranks eligible stocks by capital strength. Its stated final version selects the top half and proposes combining the…

AkcijasĶīnas tirgiRiska pārvaldība
SuperMind

This Chinese stock-selection proposal screens for turnover between the stated bounds and greater displayed buying volume than selling volume at the best quote. It then looks for a positive price change during the auction and aggregate buying by large and…

AkcijasTirgus mikrostruktūraTirgus noskaņojumsRīkojumu izpilde
SuperMind

This Chinese stock screening proposal combines daily price movement with a short-term trend filter. It seeks stocks whose amplitude exceeds a stated threshold, whose close is above the prior five-period moving average and whose moving average is rising, and…

AkcijasCenas impulssTehniskie indikatori
SuperMind

The document introduces neural networks as a machine learning approach for quantitative stock selection and says they are applied to predicting whether stock prices will rise or fall. It briefly describes a neural network as interconnected adaptive units…

AkcijasMašīnmācīšanās
SuperMind

This post outlines a Chinese A-share screen using turnover between 3% and 12%, at least one limit-up event in the prior 25 days, and a revenue comparison requiring 2021 revenue to exceed 2018 revenue by more than ten percent. It also describes ranking…

AkcijasĶīnas tirgiCenas impulssFaktoru ieguldīšana
SuperMind

This post describes a Chinese A-share screening rule that combines daily price range with a fresh KDJ crossover and excludes Beijing-listed stocks. The range filter looks for movement greater than one percent, while the KDJ condition requires the J line to…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

The screen selects equities with turnover between 3% and 12%, a flag indicating appearance on the prior day’s trading leaderboard, and a volume ratio above 1.5 but below 6. It is presented as a way to find active stocks with potentially notable price action.…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This A-share stock screen combines daily price range, relative trading volume, and recent limit-up activity. It selects stocks whose high-to-low range is at least 1% of the low, whose volume is between 1.5 and 6 times its five-day average, and whose recent…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The proposed screen selects Shanghai-listed stocks whose turnover lies between 3% and 12%, then ranks or filters them for a strong increase in the K value of the KDJ stochastic indicator. The accompanying Python example retrieves listed stock data and daily…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document proposes a Chinese equity screen combining metaverse industry membership, a rounded price pattern, market capitalization below a stated ceiling, and positive return on equity as a proxy for avoiding loss-making companies. It frames the…

Ķīnas tirgiAkcijasTehniskie indikatoriFaktoru ieguldīšana
SuperMind

The document describes a Chinese equity screening rule that selects stocks with turnover between 3% and 12%, a newly formed KDJ golden cross, and a concentration measure below 20%. Its explanation presents turnover as a liquidity filter, the KDJ crossover as…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document outlines a Chinese equity screen combining a high 2019 dividend payout ratio, a recent increase in holdings, and a requirement that the previous session was not limit-up. It later adds price-to-earnings and price-to-book thresholds and a minimum…

AkcijasĶīnas tirgiFaktoru ieguldīšana
SuperMind

The proposed Chinese equity screen selects stocks with RSI below 65, circulating market capitalization between 5 billion and 10 billion yuan, and price above the five-day moving average. The accompanying Python example excludes stocks marked ST, calculates a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This post presents a Chinese stock selection rule combining turnover, displayed order-book quantities, and prior-day price-limit behavior. It keeps stocks with turnover between 3% and 12%, where first-level buy quantity exceeds first-level sell quantity, and…

AkcijasTirgus mikrostruktūraTirgus noskaņojumsĶīnas tirgi
SuperMind

This Chinese-language post describes a stock screen that selects companies in the metaverse theme, requires the prior close to be above a 250-day moving average, and filters for a daily return between -5% and 2.6%. It includes a brief explanation of the…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This post describes a Chinese equity screen combining three conditions: daily amplitude above a threshold, a weekly five-period moving average crossing above the ten-period average, and ranking by the day’s opening auction value. It proposes selecting the…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This stock-selection example screens within the metaverse theme for shares that had a limit-up event during the prior twenty-five days and were marked as controlled by major funds on the previous day. The article presents these conditions as a way to find…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori