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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
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Bitget Academy
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MQL5 articles
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TradingView scripts
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ProRealCode
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Deribit Insights
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Machine Learning for Trading
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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
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Robot Wealth
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NautilusTrader
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Hummingbot docs
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Paradigm research
Dokumentu skaits: 175
Lumibot
Dokumentu skaits: 164
Kraken Learn
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Kvantitatīvās tirdzniecības kursu bibliotēka
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OctoBot
Dokumentu skaits: 152
Cryptohopper blog
Dokumentu skaits: 144
Systematic trading blog (Rob Carver)
Dokumentu skaits: 132
Qlib
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Quantpedia
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TqSdk
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Hyperliquid docs
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Freqtrade
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Hudson & Thames
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Awesome Systematic Trading
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backtrader
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vn.py
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Quantopian lekcijas
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Binance API docs
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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
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FMZ live strategies
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Jesse
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pyfolio
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Alphalens
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WonderTrader
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backtesting.py
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Technical Analysis
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QTPyLib
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QuantRocket
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Lumibot strategies
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Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 12,226

SuperMind

This post describes a technical stock-selection rule combining a prior-session price range above 1%, an opening price within 5% of the ten-day moving average, and a pattern intended to identify rising lows. Example formulas operationalize the range and…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasRiska pārvaldība
SuperMind

This post presents a technical stock screen based on a prior-session price range above 1, current volume above 10,000 lots, an opening price above the previous close, and an auction return between -2% and 5%. Its premise is to find active stocks with…

AkcijasTehniskie indikatoriTirgus mikrostruktūraRiska pārvaldība
SuperMind

This proposed equity screen looks for stocks with amplitude above one percent, a control measure above 21, and seven consecutive down days. Its refined version also requires circulating market capitalization of at least 3 billion. Example implementations are…

AkcijasAtgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldība
SuperMind

This stock selection proposal combines a daily amplitude threshold, a recent reversal candle pattern, and a measure described as today’s control rate. Its refined rule requires amplitude above one percent, a reversal pattern within the past three days, and a…

AkcijasTehniskie indikatoriSvārstīgumsVēsturisko datu pārbaude
SuperMind

This Chinese equity screening example combines three conditions: a price amplitude above 1%, an opening price within 5% of the 10-day moving average, and a closing price of 18.5 yuan. The accompanying explanation associates the range condition with…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

This Chinese equity screen selects stocks with turnover between 3% and 12%, first-level bid volume greater than first-level ask volume, and an intraday low that falls between 4% and 5% below the closing price. It then limits the output to the first 20…

AkcijasĶīnas tirgiTirgus mikrostruktūraAtgriešanās pie vidējās vērtības
SuperMind

This Chinese stock-screening example combines three filters: rank equities by a capital-strength measure, require strong main-fund control on the previous day, and limit market capitalization to below 10 billion yuan while excluding companies with a history…

AkcijasĶīnas tirgiTirgus mikrostruktūraRiska pārvaldība
SuperMind

The document proposes a short-term stock selection rule that combines price movement, moving average conditions, and turnover-related data. Its written logic calls for amplitude above a threshold, three moving averages to cross upward in sequence, and a…

Ķīnas tirgiAkcijasTehniskie indikatori
SuperMind

This post describes a China equity screening idea that combines a metaverse industry filter, a newly formed KDJ bullish crossover, and first-level bid volume greater than ask volume. It provides both a screening-expression example and a Python outline that…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This A-share screening idea selects companies associated with the metaverse theme, limits the share float, and looks for a newly formed KDJ golden cross. The intended signal is a crossover in which the K line moves above the D line; the screen also specifies…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This A-share stock screen combines a relative strength index ceiling with a minimum listing age and a positive but capped recent return. The article first describes a ten-day return condition, then presents a final screen using a five-day return instead,…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language post describes a daily stock selection screen combining MACD, share price, and a volume-shape condition. It calls for MACD above zero, a price below 12 yuan, and a rounded volume pattern over roughly 30 days. The post suggests running…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This stock selection rule filters for names with turnover between 3% and 12%, a positive product of the daily price change and net flow attributed to very large orders, and a positive price-to-earnings ratio. The document explains the intended combination as…

AkcijasTehniskie indikatoriTirgus noskaņojumsĶīnas tirgi
SuperMind

The proposed daily stock screen selects companies with market capitalization below 10 billion yuan, a positive profitability condition, daily MACD above zero, and amplitude greater than one. It describes selecting candidates before the market opens and then…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This proposed stock screen combines three filters: shares with codes beginning with 60, companies valued below 10 billion yuan, and businesses with no recorded losses. It ranks candidates by a funds-strength measure, with turnover rate and volume ratio…

AkcijasĶīnas tirgiCenas impulssTirgus mikrostruktūra
SuperMind

This post proposes screening stocks with daily amplitude above 1, an indication of main-force control on the previous day, and weekly MACD above zero. It presents the filters as a technical approach intended to find stocks with potential for short-term…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This post describes a Chinese stock screen for companies classified under the metaverse theme that had turnover above 8% on the prior day and appeared on the prior day’s trading leaderboard. It treats leaderboard inclusion as a signal of notable investor…

AkcijasĶīnas tirgiTirgus noskaņojumsTirgus mikrostruktūra
SuperMind

This post outlines a Chinese equity screen for robotics-related stocks. It combines daily amplitude above 1, free-float shares no greater than 5.5 billion, and circulating market value below 10 billion. The accompanying examples show how to express the…

AkcijasĶīnas tirgiSvārstīgumsRiska pārvaldība
SuperMind

This Chinese stock-selection example screens for turnover between 3% and 12%, circulating market capitalization from 1 to 55 hundred million yuan, and a KDJ K value below 20. It presents the criteria as a way to select stocks, then gives example expressions…

Ķīnas tirgiAkcijasTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This Chinese stock-screening post proposes selecting robot-concept equities using four filters: daily high-low amplitude above a threshold, prior-day trading activity above a stated threshold, membership in the robot theme, and circulating market value below…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This research review examines whether a US equity mutual fund’s performance relates to other funds following its trades. It extends a herding measure to classify funds by how strongly their purchases or sales are followed in later quarters, then compares…

AkcijasStatistikaTirgus noskaņojumsFaktoru ieguldīšana
SuperMind

This stock-selection rule combines an RSI reading below a threshold, seven consecutive declining sessions, and a signal described as main-fund control or buying on the previous day. The post presents the combination as a way to identify shares using both…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document describes a Chinese stock screen combining a turnover-rate range, an outside-to-inside trade-volume ratio above a threshold, and a positive but capped ten-day price gain. It also provides example implementations for a stock-code subset and…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese equity screen selects beverage and alcohol-related stocks with turnover between 3% and 12% whose current price reaches the highest high across a two-day window. The stated rationale is to combine moderate trading activity, an industry filter,…

AkcijasĶīnas tirgiCenas impulssCenas izrāviens