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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
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Lumibot
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Kraken Learn
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Kvantitatīvās tirdzniecības kursu bibliotēka
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OctoBot
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Cryptohopper blog
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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
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Meklēt bibliotēkā

Dokumentu skaits: 12,226

SuperMind

This stock-screening approach combines price position relative to five moving averages, turnover, and trend. The stated final rules require the closing price to be above the 5-, 10-, 20-, 60-, and 120-day averages, turnover between 2% and 9%, and a rising…

AkcijasTehniskie indikatoriSekošana tendenceiRiska pārvaldība
SuperMind

The article outlines a stock-selection screen requiring a reported daily position increase above 5% and weekly MACD above its zero line. It also includes a 2021-related condition in its initial description, but the later proposed final rules omit that…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This short-term equity screen selects stocks whose turnover lies within a specified band, that appeared on the prior day's trading leaderboard, and that had positive pre-open auction turnover above a stated threshold. The document frames the combination as a…

AkcijasĶīnas tirgiTirgus mikrostruktūraAugstas frekvences tirdzniecība
SuperMind

This equity screen combines a range-based volatility condition with a Bollinger Band position: the close must fall between the middle and upper bands. It also applies a historical return requirement, described as favoring stocks with positive past…

AkcijasTehniskie indikatoriSvārstīgumsCenas impulss
SuperMind

The document describes a stock selection screen based on clustering among several moving averages, a specified share price, and a limited price rise by the 9:25 a.m. observation. It argues that these conditions may identify stocks with comparatively stable…

AkcijasTehniskie indikatoriĶīnas tirgiRiska pārvaldība
SuperMind

This stock screen starts with Shanghai-listed shares and compares 2021 revenue with 2018 revenue, requiring growth above a stated threshold. Its final proposed criteria add a market-cap range, growth in net profit over the same period, a price-to-earnings…

AkcijasĶīnas tirgiFaktoru ieguldīšanaRiska pārvaldība
SuperMind

This A-share selection idea combines a circulating market capitalization above 10 billion yuan, more than two limit-up sessions within ten days, and at least five overlapping moving averages. The post describes the limit-up count as a sign of attention and…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This A-share screening recipe combines a reversal pattern with turnover filters. It selects stocks whose current turnover is between 3% and 12% and whose previous-day turnover exceeded 8%, while also requiring a reversal or engulfing-style price pattern. The…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasĶīnas tirgi
SuperMind

This stock-selection method combines trading activity, price position, and earnings growth. It screens for shares with turnover between 3% and 12%, an opening price within 5% of the 10-day moving average, and year-over-year growth in net profit attributable…

AkcijasTehniskie indikatoriFaktoru ieguldīšanaĶīnas tirgi
SuperMind

This note describes an A-share stock screen that looks for at least five overlapping moving averages, excludes Beijing-listed shares, and requires the 20-day moving average to be above the 120-day moving average. The overlap condition is presented as a sign…

AkcijasTehniskie indikatoriSekošana tendenceiĶīnas tirgi
SuperMind

This A-share screening method looks for stocks with a positive but bounded 10-day return, weekly MACD above its zero line, and at least five overlapping moving averages. The post treats the moving-average cluster as a sign of price consolidation or stability…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This A-share screen selects stocks associated with the robotics concept, with float market value below the stated cap and turnover between 3% and 12%. It also requires first-level bid volume to exceed first-level ask volume, using that imbalance as a rough…

AkcijasTirgus mikrostruktūraRīkojumu izpildeĶīnas tirgi
SuperMind

This A-share screening idea combines a reported daily increase in position holdings with a moderate daily price move and shortening green bars on the 15-minute MACD. The document interprets the holding increase as a sign of capital inflow and the shrinking…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This note proposes screening Chinese equities by turnover, circulating share count, and the opening price relative to the 10-day moving average. The initial description uses a 3%–12% turnover range, a circulating share cap of 5.5 billion shares, and an…

Ķīnas tirgiAkcijasTehniskie indikatoriRiska pārvaldība
SuperMind

This note describes a Chinese equity screen that combines a market-value ceiling of 10 billion yuan, a history without losses, company type, and a ranking by capital-flow intensity. It explains capital-flow strength as a measure of investor attention, while…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaRiska pārvaldība
SuperMind

This note outlines a Chinese equity screen combining daily turnover between 3% and 12%, a reversal-candle condition, and evidence of institutional fund buying. Its code examples estimate the reversal condition from the prior close relative to the day’s high…

Ķīnas tirgiAkcijasTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This Chinese stock-screening idea combines three conditions: at least two limit-up events during the previous 500 days, an intraday amplitude above 1%, and a current low below the prior day's low. The historical limit-up count is treated as a sign of past…

AkcijasTehniskie indikatoriSvārstīgumsCenas impulss
SuperMind

This proposal screens Chinese stocks for turnover between 3% and 12%, membership in a robotics concept group, floating market capitalization below 10 billion yuan, and a KDJ K value below 20. It frames the low K value as an added price-condition filter and…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasĶīnas tirgi
SuperMind

This screening proposal selects Chinese shares with turnover between 3% and 12%, a Dragon-Tiger List appearance on the prior day, and weekly MACD above zero. The list appearance is used as a proxy for market or institutional attention, turnover bounds impose…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This Chinese stock-screening note combines three signals: at least five moving averages converging, a high rank for net large-order volume, and a shortening MACD histogram on a 15-minute chart. It presents the combination as a way to find shares with…

AkcijasTehniskie indikatoriTirgus mikrostruktūraĶīnas tirgi
SuperMind

This proposed Chinese equity screen ranks stocks by a capital-strength measure, then considers prior-day actual turnover in the stated 3% to 28% range and a 2019 dividend ratio above 25%. The article describes capital strength as a measure of money flowing…

AkcijasĶīnas tirgiTirgus noskaņojumsFaktoru ieguldīšana