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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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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 Chinese stock screen selects shares with turnover between 3% and 12%, an appearance on the prior day’s market activity listing, and a positive return. The article frames the combination as a way to identify active stocks that have recently risen, and…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This Chinese stock-selection example combines three technical filters: daily amplitude above 1%, a reversal or engulfing-style pattern within the recent three sessions, and daily MACD above zero. The article interprets larger range as evidence of short-term…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This note describes a Chinese equity screen requiring RSI below 65, positive afternoon large-order net inflow, and strong performance since 2021, with the stated final rule focusing on stocks in the top decile for both net inflows and cumulative gains. The…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This note presents a Chinese equity screening rule based on daily price range and moving averages. It selects stocks whose high-low range is at least 1% of the previous close, whose 20-day moving average is above the 120-day average, and whose 30-day average…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

This note describes a Chinese equity screening rule combining a relative-strength index below 65, revenue in 2021 more than 1.1 times 2018 revenue, and a 2019 dividend payout ratio above 25%. The intended rationale is to pair revenue growth with a dividend…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This stock selection method filters for shares with amplitude above 1, membership in a robotics concept group, circulating market value below the stated threshold, and closing price above the five-day moving average. The document gives example indicator…

AkcijasSvārstīgumsTehniskie indikatoriĶīnas tirgi
SuperMind

This Chinese equities screen combines three conditions: daily amplitude above 1, at least one limit-up event within the previous 25 days, and price lying within a stated tolerance of five moving averages based on different lookback periods. The article…

AkcijasSvārstīgumsTehniskie indikatoriCenas impulss
SuperMind

This document describes a Chinese stock screen combining daily price range, opening auction trading value, and a beverage and alcohol import-export classification. It selects stocks whose amplitude exceeds 1, ranks them by auction amount, and keeps the top…

AkcijasSvārstīgumsTehniskie indikatoriĶīnas tirgi
SuperMind

This document outlines a Chinese A-share screen that looks for stocks with MACD above zero, ranks candidates by individual stock popularity, and limits the 9:25 a.m. price increase to less than 6%. It presents the approach as a way to combine a positive…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This document describes a Chinese A-share stock screen that excludes Beijing-listed shares, selects stocks with an intraday high-to-low range above 1%, and requires positive net buying attributed to major investors during the opening auction. It provides…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

This A-share screen narrows a metaverse-sector universe to stocks with relative volume above 1.5 and below 6, a closing price above the five-day moving average, and the five-day average above the 20-day average. The volume band is intended to identify active…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This A-share screening concept looks for stocks with a daily high-low range of at least 1%, relative volume between 1.5 and 6, and afternoon net inflows from large orders. Its final formulation adds persistence: both current large-order volume and its…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This A-share screening idea combines investor-position growth above 5%, seven consecutive declining sessions, and at least two limit-up events within the prior 500 days. The rationale is to look for buying interest in stocks that have a history of sharp…

AkcijasĶīnas tirgiCenas impulssRiska pārvaldība
SuperMind

This stock screen selects companies associated with robotics that have an amplitude above 1, a weekly five-period moving average crossing above the ten-period average, and circulating market capitalization below 100 billion. It combines a volatility-related…

AkcijasTehniskie indikatoriSekošana tendenceiĶīnas tirgi
SuperMind

This stock-selection rule combines three conditions: RSI below 65, a shrinking green histogram bar on the 15-minute MACD, and a price rise below 6% at 9:25. The resulting stocks form a candidate pool. The document presents RSI and MACD as technical filters…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

The post proposes a Chinese stock screen combining price amplitude, prior-day actual turnover, and time since listing. It selects stocks with amplitude above 1, turnover between 3% and 28%, and a listing history longer than one year. It includes sample…

AkcijasĶīnas tirgiFaktoru ieguldīšanaRiska pārvaldība
SuperMind

This document presents a stock screen using turnover and the ratio of outward to inward traded volume, apparently aiming to identify stocks with active trading and greater buying-side volume. Its stated final rule combines turnover between 3% and 12%, an…

AkcijasTirgus mikrostruktūraĶīnas tirgi
SuperMind

This document describes a Chinese A-share screening rule combining turnover, the opening price relative to the 10-day moving average, and the KDJ oscillator. It selects stocks with turnover from 3% to 12%, an opening price within roughly 5% of the 10-day…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This Chinese-language post describes a stock screen using three conditions: daily high-low amplitude above one percent of the previous close, weekly MACD above zero with its prior value above its signal line, and the 20-day moving average above the 120-day…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This document describes a Chinese stock screen applied after the market opens. It combines amplitude above 1, a change in a measure labeled institutional buying, and a circulating share count no greater than 5.5 billion shares. The rationale offered is that…

AkcijasTehniskie indikatoriĶīnas tirgiRiska pārvaldība
SuperMind

This document outlines a Chinese equity screen using three conditions: amplitude above 1, a closing price below 20, and a selected company or industry category. Its example implements the category filter with a pharmaceutical industry label and proposes…

AkcijasTehniskie indikatoriĶīnas tirgiRiska pārvaldība
SuperMind

This document describes a Chinese equity screen combining daily amplitude above 1, afternoon large-order net inflow, and a rising 30-day moving average. Among stocks meeting the conditions, it proposes choosing the one with the greatest gain. The…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This post describes a stock-selection screen combining daily range, a calendar-year filter, and moving averages. It selects stocks whose high-to-low range exceeds one percent, whose observations fall in 2021, and whose 20-day moving average is above the…

AkcijasTehniskie indikatoriSekošana tendenceiĶīnas tirgi