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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)
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Qlib
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TqSdk
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Quantpedia
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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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Binance API docs
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Quantopian lekcijas
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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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WonderTrader
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Alphalens
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backtesting.py
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Technical Analysis
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QTPyLib
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Lumibot strategies
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QuantRocket
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Awesome Quant
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Meklēt bibliotēkā

Dokumentu skaits: 12,226

SuperMind

This stock screen combines at least five overlapping moving averages with a prior-day turnover rate above 8%, using a 2021 data scope. The note interprets moving-average overlap as a sign of price consolidation or a coherent trend, while elevated turnover…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This A-share stock screen combines three filters: the 20-day moving average must be above the 120-day average, RSI must be below 65, and an industry concentration measure must be either above 70% or below 20%. The article frames the moving-average condition…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This proposed A-share screen looks for stocks with at least five moving averages clustered together and at least two limit-up sessions within the prior 500 days, while excluding Beijing listings. The article interprets clustered averages as a sign of…

AkcijasĶīnas tirgiTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This proposed A-share screen combines turnover from 3% to 12%, an opening price within 5% of the 10-day moving average, and a daily low representing a decline between 4% and 5% from the previous close. The document describes the conditions as a technical…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This A-share stock screen combines a daily turnover band of 3% to 12% with a reversal-style price condition and excludes companies categorized as Beijing listings. The document presents the filters as a way to focus on liquidity and recent price behavior. It…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This A-share screen combines RSI below 65, an amplitude threshold above 1, and an upward-sloping 30-day moving average. The stated aim is to find stocks with some price movement while avoiding the highest RSI readings and favoring a positive recent trend.…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This A-share screening method selects stocks with MACD above zero, a rising 30-day moving average, and a stated external-to-internal trading volume ratio above 1.3. In combination, the filters are meant to identify positive momentum, an upward price trend,…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This A-share stock screen combines three conditions: a 14-period RSI below 65, positive main-fund net inflow on the previous day, and the 20-day moving average above the 120-day moving average. The short-versus-long average comparison is intended to identify…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This A-share screening idea looks for stocks before 10 a.m., excludes those under special treatment, ranks candidates by a stated measure of capital strength, and requires the 15-minute MACD histogram’s negative bars to become shorter. The post interprets…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The proposed A-share screen combines a reported increase in institutional position share above 5%, seven consecutive declining sessions, and more than two limit-up days within the past ten trading days. The author frames the long decline as a possible…

AkcijasĶīnas tirgiAtgriešanās pie vidējās vērtībasCenas impulss
SuperMind

This stock-screening proposal combines a daily price-range condition, positive price-to-earnings ratio, and a high dividend payout ratio in a specified historical year. It presents the range filter as a way to find active stocks, positive PE as an indication…

AkcijasSvārstīgumsFaktoru ieguldīšanaRiska pārvaldība
SuperMind

The proposed screen combines three stock-selection conditions: a reported increase in buying or position-building activity, a weekly crossover of the five-period moving average above the ten-period average, and a positive but limited return over the prior…

AkcijasTehniskie indikatoriCenas impulssSekošana tendencei
SuperMind

This stock screen combines a positive MACD condition with a rising signal line, then filters for shares whose high-to-low range over a recent lookback exceeds a stated threshold. The article frames the approach around stocks with upward technical momentum…

AkcijasTehniskie indikatoriCenas impulssSvārstīgums
SuperMind

This proposed stock screen selects shares with today’s position increase above 5% and at least two limit-up sessions over the past 500 days. The post interprets a rise in position holdings as possible institutional buying interest and the historical…

AkcijasCenas impulssĶīnas tirgiRiska pārvaldība
SuperMind

This Shenzhen main-board stock screen requires an RSI below 65, a price-to-earnings ratio between zero and 29.01, a price-to-book ratio between zero and 3.11, and more than two limit-up sessions within ten days. The post treats repeated limit-ups as a sign…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This Chinese equity screening proposal combines at least five converging moving averages, current trading volume above 10,000 lots, a higher opening price, and a 20-day moving average above the 120-day average. The post interprets these conditions as signs…

AkcijasTehniskie indikatoriSekošana tendenceiĶīnas tirgi
SuperMind

This note describes ranking stocks by capital-flow strength and individual-stock popularity, alongside a recent-return filter requiring a 10-day gain above zero and below 35%. It interprets stronger flows and higher attention as signs of market interest,…

AkcijasCenas impulssTirgus noskaņojumsTehniskie indikatori
SuperMind

This note combines three stock-selection criteria: a 2019 dividend payout ratio above 25%, circulating market capitalization between 5 billion and 10 billion yuan, and a daily increase in holdings above 5%. It interprets the positioning measure as a possible…

AkcijasFaktoru ieguldīšanaRiska pārvaldībaĶīnas tirgi
SuperMind

This note proposes screening stocks for a daily high-low range greater than 1% of the previous close, a positive price-to-earnings ratio, and a price increase over the preceding 252 trading sessions. It describes the criteria as a way to combine price…

AkcijasCenas impulssSvārstīgumsTehniskie indikatori
SuperMind

This note describes a Chinese A-share screen combining turnover between 3% and 12%, an opening price within 5% of the 10-day moving average, and an opening price below the prior session’s low. The author presents the last condition as a possible reversal…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasĶīnas tirgi
SuperMind

This stock screen combines three conditions: at least five moving averages are described as overlapping, the 20-day average is above the 120-day average, and the company has a market capitalization below 10 billion yuan with no losses. The note interprets…

AkcijasTehniskie indikatoriSekošana tendenceiRiska pārvaldība
SuperMind

This Chinese-equity screening rule selects shares with turnover between 3% and 12%, an appearance on the previous day’s trading leaderboard, and return on equity above 15% for five consecutive years. It pairs a measure of sustained profitability with a…

AkcijasFaktoru ieguldīšanaĶīnas tirgiRiska pārvaldība
SuperMind

This stock selection approach combines a 15-minute MACD condition, described as a shortening green histogram, with MACD above its zero line and revenue in 2021 exceeding revenue in 2018 by more than a stated threshold. The provided implementation examines…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība