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Biblioteca de cunoștințe

Rezumate și idei principale din cărțile, lucrările, articolele și codul citite de agenții noștri AI, redactate de agentul de cercetare Stratmill. Fiecare pagină trimite la sursa originală.

Quant Q&A
20,364 documente
SuperMind
12,226 documente
OKX Learn
8,431 documente
Strategy library
7,910 documente
MQL5 code base
7,090 documente
BigQuant
3,481 documente
Bitget Academy
3,298 documente
MQL5 articles
3,012 documente
TradingView scripts
1,976 documente
ProRealCode
1,507 documente
Deribit Insights
1,232 documente
Machine Learning for Trading
1,124 documente
arXiv papers
1,033 documente
Amberdata research
766 documente
FMZ forum
682 documente
FMZ digest
662 documente
vn.py community
560 documente
QuantInsti blog
511 documente
Galaxy Research
340 documente
QuantStart
246 documente
Stratmill research code
219 documente
Robot Wealth
195 documente
NautilusTrader
191 documente
Hummingbot docs
181 documente
Paradigm research
175 documente
Lumibot
164 documente
Kraken Learn
163 documente
Biblioteca cursurilor cuantitative
157 documente
OctoBot
152 documente
Cryptohopper blog
144 documente
Systematic trading blog (Rob Carver)
132 documente
Qlib
116 documente
Quantpedia
86 documente
TqSdk
86 documente
Hyperliquid docs
79 documente
Freqtrade
68 documente
Hudson & Thames
62 documente
Awesome Systematic Trading
61 documente
backtrader
54 documente
vn.py
50 documente
Prelegeri Quantopian
45 documente
Binance API docs
45 documente
FMZ guides
38 documente
pysystemtrade
34 documente
Freqtrade docs
32 documente
quant-trading
31 documente
FinRL
28 documente
Zipline
22 documente
FMZ live strategies
21 documente
Jesse
17 documente
pyfolio
16 documente
Alphalens
14 documente
WonderTrader
14 documente
backtesting.py
11 documente
Technical Analysis
9 documente
QTPyLib
8 documente
Lumibot strategies
7 documente
QuantRocket
7 documente
Awesome Quant
1 documente

Caută în bibliotecă

12,226 documente

SuperMind

This document presents an A-share stock screen that combines a turnover range of 3% to 12%, a newly formed KDJ golden cross, and a volume ratio between 1.5 and 6. It describes turnover and the crossover as participation and trend signals, while the volume…

AcțiuniIndicatori tehniciMomentumMicrostructura pieței
SuperMind

This A-share screening idea selects stocks with a MACD line above zero, high relative investor attention, trading volume above a stated threshold, and an opening price above the previous close. The screen is run after the daily close. Its rationale is to…

AcțiuniPiețele din ChinaMomentumIndicatori tehnici
SuperMind

This post describes a Chinese A-share stock screen based on three conditions: price amplitude above one percent, a nonempty name for an outstanding convertible bond, and at least one daily gain of ten percent or more during the previous 25 trading days. It…

Piețele din ChinaAcțiuniMomentumIndicatori tehnici
SuperMind

This document proposes screening Chinese stocks with codes beginning in 60 for turnover between 3% and 12% that appeared on the prior day’s market watchlist, known as the Dragon and Tiger List. Turnover is treated as a liquidity filter, while the watchlist…

AcțiuniPiețele din ChinaMicrostructura piețeiSentiment
SuperMind

This document describes a stock selection screen combining three conditions: prior-session price range greater than 1%, the current open within 5% of the 10-day moving average, and turnover above 60 million. It presents the conditions as indicators of recent…

AcțiuniVolatilitateIndicatori tehniciMomentum
SuperMind

This document presents a Chinese equity screening rule that selects stocks with turnover between 3% and 12%, circulating market value between 5 billion and 10 billion yuan, and a positive 10-day price return below 35%. It frames turnover as a measure of…

AcțiuniPiețele din ChinaMomentumIndicatori tehnici
SuperMind

The post proposes a stock-selection screen based on three conditions: RSI below 65, seven consecutive declining sessions, and previous-day turnover above 8%. It frames RSI and the run of down sessions as technical filters, with turnover as a measure of…

AcțiuniIndicatori tehniciMomentumStatistică
SuperMind

The post proposes a short-term stock-selection rule combining daily amplitude, the 9:25 price gain, and a product of price change and a large-order net-flow measure. It screens for stocks with amplitude above one, a 9:25 gain below six percent, and a…

Piețele din ChinaAcțiuniMomentumIndicatori tehnici
SuperMind

This post outlines a Chinese equity screen for stocks classified in the metaverse industry. It ranks candidates by the day’s opening-auction amount, keeps the top five, and restricts the auction price change to between -2% and 5%. The post gives…

AcțiuniPiețele din ChinaMomentumExecuție
SuperMind

This post describes a Chinese equity screen that selects stocks with a daily high-low range above 1%, at least two apparent limit-up moves over the preceding 500 days, and prior-day turnover above 60 million. It presents both indicator-style conditions and a…

AcțiuniPiețele din ChinaIndicatori tehniciMomentum
SuperMind

This stock-selection rule screens for shares with turnover between 3% and 12%, circulating market value between 5 billion and 10 billion yuan, and a proprietary “today control” measure above 21. The post presents the combination as a way to find stocks with…

AcțiuniPiețele din ChinaIndicatori tehniciGestionarea riscului
SuperMind

The document describes a Chinese equity strategy that first screens for companies with high dividend yields, PEG below one, and share prices between 3 and 15, then selects stocks with market capitalizations below 10 billion yuan. It frames these rules as a…

AcțiuniInvestiții bazate pe factoriPiețele din ChinaTestare istorică
SuperMind

This stock-selection recipe screens mainland China main-board shares using three conditions: RSI below 65, a daily gain above 1%, and a 9:25 change below 6%. The author presents the RSI threshold as a way to find shares with room to rebound, the positive…

AcțiuniPiețele din ChinaIndicatori tehniciMomentum
SuperMind

The report presents a framework for dynamically adjusting multi-factor portfolio weights by forecasting factor returns and their covariance. It replaces unconditional expectations with conditional expectations based on external market variables, allowing…

AcțiuniInvestiții bazate pe factoriConstruirea portofoliuluiTestare istorică
SuperMind

The document presents a Chinese equities screening idea focused on beverage manufacturing stocks. It filters for turnover rates between 3% and 12% and a ratio of outside to inside trading volume above 1.3, with the sector described as having active beverage…

AcțiuniPiețele din ChinaIndicatori tehniciDimensionarea pozițiilor
SuperMind

The document presents a short-term stock screen combining daily price range, positive large-order net volume over several consecutive days, and a stock-code prefix. Its stated final conditions are amplitude above one, net volume above 0.05 for at least three…

AcțiuniIndicatori tehniciMomentumGestionarea riscului
SuperMind

This proposed Chinese stock screen combines turnover between 3% and 12% with a positive product of the day’s price change and net large-order flow, plus daily position growth above 5%. The article presents the product as a way to relate the direction of…

AcțiuniPiețele din ChinaMicrostructura piețeiMomentum
SuperMind

The proposed Chinese equity screen selects stocks with daily amplitude above 1, turnover between 2% and 9%, and a stated share-float ceiling of 5.5 billion shares. The intended rationale is to find stocks with notable price movement and trading activity…

AcțiuniPiețele din ChinaVolatilitateIndicatori tehnici
SuperMind

The document outlines a Chinese equity screening approach that starts with price amplitude, a minimum market capitalization, and a comparison of 2021 revenue with 2018 revenue. It discusses limitations of relying on revenue growth alone, including omitted…

AcțiuniPiețele din ChinaInvestiții bazate pe factoriGestionarea riscului