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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
TqSdk
86 documente
Quantpedia
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
Binance API docs
45 documente
Prelegeri Quantopian
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
QuantRocket
7 documente
Lumibot strategies
7 documente
Awesome Quant
1 documente

Caută în bibliotecă

12,226 documente

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…

AcțiuniIndicatori tehniciUrmărirea tendințeiGestionarea riscului
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…

AcțiuniIndicatori tehniciMomentumGestionarea riscului
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…

AcțiuniPiețele din ChinaMicrostructura piețeiTranzacționare de înaltă frecvență
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…

AcțiuniIndicatori tehniciVolatilitateMomentum
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…

AcțiuniIndicatori tehniciPiețele din ChinaGestionarea riscului
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…

AcțiuniPiețele din ChinaInvestiții bazate pe factoriGestionarea riscului
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…

AcțiuniIndicatori tehniciMomentumPiețele din China
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…

AcțiuniIndicatori tehniciRevenire la mediePiețele din China
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…

AcțiuniIndicatori tehniciInvestiții bazate pe factoriPiețele din China
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…

AcțiuniIndicatori tehniciUrmărirea tendințeiPiețele din China
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…

AcțiuniIndicatori tehniciMomentumPiețele din China
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…

AcțiuniMicrostructura piețeiExecuțiePiețele din China
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…

AcțiuniIndicatori tehniciMomentumPiețele din China
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…

Piețele din ChinaAcțiuniIndicatori tehniciGestionarea riscului
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…

Piețele din ChinaAcțiuniInvestiții bazate pe factoriGestionarea riscului
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…

Piețele din ChinaAcțiuniIndicatori tehniciTestare istorică
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…

AcțiuniIndicatori tehniciVolatilitateMomentum
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…

AcțiuniIndicatori tehniciRevenire la mediePiețele din China
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…

AcțiuniIndicatori tehniciMomentumGestionarea riscului
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…

AcțiuniIndicatori tehniciMicrostructura piețeiPiețele din China
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…

AcțiuniPiețele din ChinaSentimentInvestiții bazate pe factori