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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
Dokumentu skaits: 3,481
Bitget Academy
Dokumentu skaits: 3,298
MQL5 articles
Dokumentu skaits: 3,012
TradingView scripts
Dokumentu skaits: 1,976
ProRealCode
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Deribit Insights
Dokumentu skaits: 1,232
Machine Learning for Trading
Dokumentu skaits: 1,124
arXiv papers
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Amberdata research
Dokumentu skaits: 766
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
Dokumentu skaits: 340
QuantStart
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Stratmill research code
Dokumentu skaits: 219
Robot Wealth
Dokumentu skaits: 195
NautilusTrader
Dokumentu skaits: 191
Hummingbot docs
Dokumentu skaits: 181
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
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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
Dokumentu skaits: 34
Freqtrade docs
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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

This note proposes screening Chinese A-share stocks in the metaverse sector using an early-session price condition and enterprise classification. The described rule caps the 9:25 a.m. gain at 6% and adds a selected enterprise type, with high-tech and…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This note describes a Chinese A-share screening rule for stocks in the metaverse sector. It combines a 9:25 a.m. price-gain ceiling of 6% with an RSI reading below 65, aiming to identify stocks with limited early-session gains and a moderate momentum…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese equity screen combines three conditions: RSI below 65, seven consecutive sessions in which the close is below the open, and positive net buying attributed to major participants during the opening auction. The article presents the combination as…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This article outlines a daily stock backtest framework in which a natural-language screening query selects entries. The example framework also allows a maximum number of holdings, a holding-period exit, and optional take-profit and stop-loss thresholds.…

AkcijasVēsturisko datu pārbaudeRīkojumu izpildeRiska pārvaldība
SuperMind

This note describes a Chinese A-share screen requiring a daily high-low range above 1% of the previous close, a ticker beginning with 60, and a prior-day 9:15 auction match price at the limit-down level. It interprets the range as a volatility filter and the…

AkcijasSvārstīgumsTehniskie indikatoriĶīnas tirgi
SuperMind

This stock-selection proposal filters for amplitude above 1, weekly MACD above zero, and turnover between 2% and 9%. It combines a price-range condition and a weekly trend measure with turnover as a proxy for trading activity and liquidity. The document…

AkcijasTehniskie indikatoriCenas impulssStatistika
SuperMind

This stock screen combines three technical conditions: amplitude above 1, MACD above the zero line, and a newly formed KDJ golden cross. The document interprets amplitude as a sign of price movement, positive MACD as evidence of a favorable trend, and the…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

The post describes a Chinese equity screen that ranks Shenzhen Main Board stocks by capital-flow strength and filters for price-to-earnings ratios from 0 to 29.01 and price-to-book ratios from 0 to 3.11. It presents the valuation bands as a way to find…

AkcijasFaktoru ieguldīšanaĶīnas tirgi
SuperMind

This note proposes screening Chinese A-shares for a turnover rate between 3% and 12%, excluding Beijing-listed stocks, and retaining stocks identified as forming a reversal or “reversal package” pattern. The accompanying example describes joining a stock…

AkcijasĶīnas tirgiAtgriešanās pie vidējās vērtībasStatistika
SuperMind

This note describes a momentum-oriented stock screen with four conditions: amplitude above 1%, MACD crossing above zero, current volume above 10,000 lots, and an opening price above the previous session’s high. The proposed rationale is that a volatile move,…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese stock-screening note proposes selecting shares with daily price amplitude above 1%, a closing price of exactly 18.5 yuan, and a float of no more than 5.5 billion shares. It presents the screen as a way to find active, volatile stocks with…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

This document describes a Chinese equity screen that selects stocks with codes beginning with 60, ranks them by volume ratio, and requires an upward trend in the 30-day closing-price average. The article treats volume ratio as a rough measure of trading…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This document presents a Chinese stock screen focused on companies associated with the metaverse and robotics themes. It filters for a volume ratio within a specified range and limits circulating market capitalization, describing the volume condition as a…

AkcijasĶīnas tirgiTirgus mikrostruktūraRiska pārvaldība
SuperMind

This document describes a Chinese equity screening rule that selects stocks with amplitude above a threshold, three moving averages in a bullish crossover arrangement, and a rising DEA line. It frames the combination as a way to find relatively strong stocks…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This A-share screening proposal combines a technical condition with two company filters: RSI below 65, year-over-year growth in net profit attributable to the parent company above 20% and no more than 100%, and more than one year since listing. It frames the…

Ķīnas tirgiAkcijasTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This Chinese A-share screening idea combines a metaverse industry filter with evidence of a recent limit-up session and three rising technical indicators. It proposes checking moving-average, RSI, and MACD-style signals together, then selecting stocks weekly…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This proposed A-share stock screen combines a turnover filter with short- and long-term technical conditions. It selects stocks with turnover between 3% and 12%, a rising DEA reading, and a weekly price moving-average crossover above a 30-week average. The…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This post describes a Chinese stock screen combining daily price range with order-flow and institutional activity signals. Its indicator rules flag a bar whose high-to-low range exceeds one percent of the previous close, then apply measures related to…

AkcijasĶīnas tirgiTirgus mikrostruktūraTehniskie indikatori
SuperMind

This stock screening post selects companies with daily turnover between 3% and 12%, circulating share float at or below 5.5 billion shares, and a positive price-to-earnings ratio. The stated rationale is to find actively traded stocks with a relatively…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaRiska pārvaldība
SuperMind

This stock selection post combines a 14-period RSI below 65 with a price high equal to the highest high over the past two sessions. It further narrows candidates to companies with market capitalization at or below 10 billion and positive profitability…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock selection post proposes screening for shares with daily turnover between 3% and 12%, a positive product of the day’s price change and net flow attributed to very large orders, and a listing age exceeding a stated threshold. Its explanation…

Ķīnas tirgiAkcijasTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This note proposes a stock selection rule based on daily price range, the prior ten-day return, and the latest price change. It seeks stocks with a range above 1%, positive but below 35% ten-day appreciation, and a latest change between -5% and 2.6%. The…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This note outlines a stock screen requiring a price range greater than one unit, prior-day turnover above 60 million, and external traded volume more than 1.3 times internal traded volume. The author presents this ratio as an additional market activity…

AkcijasTirgus mikrostruktūraĶīnas tirgi
SuperMind

This note describes a Chinese equity screen that selects companies classified in the metaverse industry, whose opening price is near the 10-day moving average, and whose opening auction gain falls within a specified band. Its proposed final version tightens…

AkcijasTehniskie indikatoriĶīnas tirgi