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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
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
QuantRocket
7 documente
Lumibot strategies
7 documente
Awesome Quant
1 documente

Caută în bibliotecă

12,226 documente

SuperMind

This post describes a Chinese stock selection screen combining price amplitude, a measure labeled today’s control, and a recent large daily gain. Its written logic adds a free-float market capitalization floor. The article also provides example formulas for…

AcțiuniPiețele din ChinaIndicatori tehniciGestionarea riscului
SuperMind

This post proposes a technical screen for Chinese A-share stocks. It selects shares with RSI below 65, seven consecutive sessions in which the close is no higher than the open, and a KDJ stochastic K reading below 20. The accompanying code sketch describes…

Piețele din ChinaAcțiuniIndicatori tehniciRevenire la medie
SuperMind

This Chinese stock selection proposal combines turnover between 3% and 12%, an opening price near the 10-day moving average, and a prior-day signal described as main-force control. The formula reference adds conditions requiring the close to exceed both the…

Piețele din ChinaAcțiuniMomentumIndicatori tehnici
SuperMind

This stock-selection proposal targets main-board shares associated with robotics. It filters for turnover between three and twelve percent, circulating market value below 10 billion yuan, and a weekly five-period moving average crossing above the ten-period…

AcțiuniPiețele din ChinaIndicatori tehniciMomentum
SuperMind

This Chinese-language post proposes a stock screen combining three signals: today’s increase in holdings above five percent, an institutional buying indication, and shortening green MACD bars on a 15-minute chart. It interprets the first two as evidence of…

AcțiuniPiețele din ChinaIndicatori tehniciMomentum
SuperMind

This note outlines a chart-based stock screen using at least five converging moving averages, a rounded or arc-shaped price pattern, and a focus on stocks associated with 2021. It illustrates possible moving-average periods of 5, 10, 20, 50, and 200 days,…

AcțiuniIndicatori tehniciUrmărirea tendințeiTestare istorică
SuperMind

This note presents a Chinese equity screen combining turnover between 3% and 12%, market capitalization below 10 billion yuan, positive profitability, and a closing price above the previous day’s low. It includes example formula and Python references for…

AcțiuniPiețele din ChinaIndicatori tehniciGestionarea riscului
SuperMind

This note describes an A-share stock screen combining three conditions: membership in the metaverse industry, a positive return based on the latest close versus the prior close, and circulating market capitalization below 10 billion yuan. It also gives…

AcțiuniPiețele din ChinaMomentumGestionarea riscului
SuperMind

This note proposes screening metaverse-related stocks for elevated recent turnover and a low KDJ reading, then adds valuation and leverage constraints. Its final selection logic combines sector membership, a turnover condition, KDJ below a threshold,…

AcțiuniIndicatori tehniciMomentumGestionarea riscului
SuperMind

This note outlines a stock screen for companies in the metaverse theme whose average price is above its five-day moving average and that show a rebound after a recent decline. It frames the setup as a way to find stocks recovering from weakness, but does not…

AcțiuniIndicatori tehniciMomentumPiețele din China
SuperMind

This document outlines a stock screen requiring price amplitude above a threshold, a current-day control measure above a threshold, and a MACD value below zero from two days earlier. It frames the inputs as measures of price movement, trading control or…

AcțiuniIndicatori tehniciPiețele din China
SuperMind

This document describes an equity screening rule combining a metaverse industry label, a close above the previous day’s low, and a KDJ %K reading at or below 20. Its stated rationale is that the industry label identifies potential growth exposure, the price…

AcțiuniIndicatori tehniciPiețele din China
SuperMind

The document proposes screening stocks using amplitude above one, a shortening negative MACD histogram on a 15-minute chart, and MACD at or above zero. It explains the intended rationale as combining price movement with a momentum indicator to identify…

Piețele din ChinaAcțiuniMomentumIndicatori tehnici
SuperMind

The document outlines a Chinese-equity screening idea that combines daily turnover between 3% and 12%, a positive product of price change and net large-order volume, and a rounded or arc-like candlestick condition. It presents sample formula and Python…

Piețele din ChinaAcțiuniIndicatori tehniciMicrostructura pieței
SuperMind

The document describes an A-share screening rule for companies assigned to the metaverse industry. It combines a float-size ceiling with an ownership-concentration ceiling, then returns qualifying stock codes and names. The accompanying Python example…

AcțiuniPiețele din ChinaInvestiții bazate pe factori
SuperMind

This stock-selection rule filters for a high–low range above 1% of the high, a closing price of exactly 18.5 yuan, and circulating market value of at least 10 billion yuan. The document includes example selection logic and sorts qualifying names by trading…

AcțiuniPiețele din ChinaIndicatori tehniciInvestiții bazate pe factori
SuperMind

This stock screen combines a daily range condition with sustained profitability and a momentum indicator. It selects shares whose high–low range exceeds an ATR-based threshold, whose return on equity stayed above 15% across five years, and whose 14-period…

AcțiuniInvestiții bazate pe factoriIndicatori tehniciGestionarea riscului
SuperMind

This post proposes a Chinese equity screen combining three conditions: daily amplitude above a threshold, at least two limit-up events within a 500-trading-day window, and a reversal or engulfing-style candle condition. It gives formula references and an…

AcțiuniPiețele din ChinaIndicatori tehniciMomentum
SuperMind

The proposed screen selects main-board stocks with circulating market value between 5 billion and 10 billion yuan, turnover between 3% and 12%, and a stated daily maximum decline between 4% and 5%. The article presents the filters as a way to find stocks…

Piețele din ChinaAcțiuniIndicatori tehniciGestionarea riscului
SuperMind

This stock-selection post describes a screen using three short-term conditions: a positive ten-day return below 35%, daily amplitude above 1%, and a stated concentration measure below 20%. It frames these filters as a way to identify stocks with recent gains…

Piețele din ChinaAcțiuniIndicatori tehniciGestionarea riscului
SuperMind

This community post proposes a Chinese stock screen within the metaverse industry. It filters for prior-session actual turnover between 3% and 28%, an opening-auction price move ranked among the strongest in the market, and combined net buying by very large…

Piețele din ChinaAcțiuniMicrostructura piețeiExecuție
SuperMind

This article reviews global equity factor performance in the third quarter of 2021 and compares defensive factor positioning. It reports that momentum and low residual volatility led the pure factor results, while liquidity lagged. Regional index outcomes…

AcțiuniInvestiții bazate pe factoriMomentumVolatilitate
SuperMind

This Chinese-language article describes an equity screen for Shenzhen main-board stocks associated with the metaverse theme. It selects stocks with a positive return, positive price-to-earnings and price-to-book ratios, and upper bounds on both valuation…

AcțiuniPiețele din ChinaInvestiții bazate pe factori
SuperMind

This document outlines a stock-selection screen that ranks securities by capital strength and requires weekly MACD to be above zero, alongside a year-based filter referring to 2021. It explains capital strength through trading volume and value, and describes…

Piețele din ChinaAcțiuniMomentumIndicatori tehnici