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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 research summary examines whether trading behavior can serve as a proxy for speculative intensity in Chinese A-shares. It studies four measures: idiosyncratic volatility, idiosyncrasy, price delay, and size-adjusted turnover. The proposed intuition is…

AcțiuniInvestiții bazate pe factoriStatisticăPiețele din China
SuperMind

This article outlines a simple screen for Chinese equities associated with the metaverse theme. It selects stocks whose actual turnover rate from two trading days earlier falls between 3% and 28%, while excluding stocks that hit the upper price limit on the…

AcțiuniPiețele din ChinaIndicatori tehniciGestionarea riscului
SuperMind

The post outlines a Chinese equity screening idea that combines at least five overlapping moving averages, company or industry characteristics, and a 15-minute MACD histogram whose negative bars are getting shorter. It interprets moving average overlap as…

AcțiuniIndicatori tehniciMomentumPiețele din China
SuperMind

This stock screen selects shares whose daily amplitude exceeds a threshold, whose price is above the five-day moving average, and whose prior session was not a limit-up day. The article frames a larger daily range as potentially useful for short-term trading…

AcțiuniPiețele din ChinaIndicatori tehniciMomentum
SuperMind

The proposed screen seeks Chinese stocks with turnover between 3% and 12% and a positive gain below 35% over ten days, then looks for three technical indicators to cross upward at the same time. The accompanying formula describes rising 12-period and…

AcțiuniPiețele din ChinaMomentumIndicatori tehnici
SuperMind

This document describes a Chinese stock selection rule combining daily price range, recent limit-up activity, and a long-term moving average. Stocks enter the candidate pool when their amplitude exceeds 1%, at least one limit-up occurred in the prior 25…

AcțiuniPiețele din ChinaIndicatori tehniciVolatilitate
SuperMind

This stock-screening proposal combines three conditions: a 14-period RSI below 65, first-level buy volume greater than first-level sell volume, and a rising KDJ component. It presents these as filters for stocks with moderate momentum, buying pressure, and…

AcțiuniIndicatori tehniciMomentumMicrostructura pieței
SuperMind

This post describes a Chinese main-board stock screen requiring turnover between 3% and 12%, a daily gain above 1%, and a nonempty name for an outstanding convertible bond. It presents the bond-linked filter as a way to identify companies with…

AcțiuniPiețele din ChinaIndicatori tehniciGestionarea riscului
SuperMind

This post presents a stock screen using three conditions: daily price range above 1%, positive price-to-earnings ratio, and a ten-day return above zero but below 35%. The intended rationale is to find profitable companies showing recent gains and active…

AcțiuniPiețele din ChinaMomentumIndicatori tehnici
SuperMind

This post describes a Chinese A-share screening rule: select stocks in the metaverse theme with a positive institutional-flow signal and prior-session auction turnover above 0.26. It gives indicator references and a Python example intended to implement the…

AcțiuniPiețele din ChinaMicrostructura piețeiSentiment
SuperMind

This proposed stock screen combines a daily turnover rate between 3% and 12%, a positive product of daily price change and large-order net flow, and a 2019 dividend ratio above 25%. The article frames turnover as a measure of market activity and the…

AcțiuniPiețele din ChinaIndicatori tehniciGestionarea riscului
SuperMind

This stock screen selects companies assigned to the metaverse industry using two size conditions: circulating shares at or below 5.5 billion and a stated size threshold of at least 200 million. The document presents the screen as a way to find larger…

AcțiuniPiețele din ChinaInvestiții bazate pe factori
SuperMind

This stock-selection recipe filters Shenzhen main-board listings using turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders above 20% and up to 100%, price-to-earnings ratios from 0 to 29.01, and…

AcțiuniInvestiții bazate pe factoriGestionarea riscului
SuperMind

This stock screen combines a daily range filter, a qualitative company-quality condition, and a trend rule requiring the 20-day moving average to exceed the 120-day average. The article interprets the moving-average relationship as evidence that recent price…

AcțiuniUrmărirea tendințeiIndicatori tehnici
SuperMind

This stock screen combines a daily price-amplitude threshold, a MACD condition above the zero line, and year-over-year growth in net profit attributable to parent-company shareholders. The stated profit-growth range is above 20% and up to 100%. The rationale…

AcțiuniIndicatori tehniciMomentumPiețele din China
SuperMind

The article proposes a Chinese stock screen combining three price-based conditions: amplitude above a threshold, a rising bottom pattern, and at least one limit-up move within the prior 25 days. It frames wide swings and rising lows as technical signals and…

Piețele din ChinaAcțiuniIndicatori tehniciMomentum
SuperMind

This stock-screening approach ranks shares by reported buy and sell amounts in the previous day’s trading leaderboard, then filters for names with leaderboard activity and a 20-day moving average above the 120-day average. The ranking is intended to…

AcțiuniPiețele din ChinaMomentumIndicatori tehnici
SuperMind

This Chinese equity-screening note selects stocks with MACD above zero, positive price-to-earnings ratio, and turnover between three and twelve percent. It interprets the MACD condition as an upward trend filter, positive PE as a basic valuation sanity…

Piețele din ChinaAcțiuniIndicatori tehniciInvestiții bazate pe factori
SuperMind

This Chinese stock-screening note combines three conditions: daily trading range above one percent of the previous close, weekly MACD above zero, and a prior-day 9:15 matching price at the lower price limit. It presents the screen as a way to find stocks…

Piețele din ChinaAcțiuniIndicatori tehniciVolatilitate
SuperMind

This document describes a Chinese A-share screening rule combining three conditions: amplitude above 1, MACD below zero two days earlier, and a gain below 6% around 9:25. It presents the screen as a way to combine a volatility measure, a trend signal, and a…

AcțiuniPiețele din ChinaIndicatori tehniciVolatilitate
SuperMind

The screen selects stocks assigned to the metaverse concept group using two same-day price conditions: the reported move at 9:25 is below 6%, and the day's maximum decline is between 4% and 5%. The accompanying explanation frames these conditions as a way to…

AcțiuniPiețele din ChinaRevenire la medieIndicatori tehnici
SuperMind

This stock screen first limits candidates to companies classified in the metaverse industry. It then looks for an opening price described as near the 10-day moving average and positive net buying by major participants during the opening auction. The article…

AcțiuniPiețele din ChinaMomentumIndicatori tehnici
SuperMind

This Chinese equity screening method selects stocks with turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders above 20% and no higher than 100%, and a daily increase-in-holdings ratio above 5%. The…

AcțiuniPiețele din ChinaInvestiții bazate pe factoriIndicatori tehnici
SuperMind

This Chinese equity screening example combines a metaverse industry classification with a volume-ratio band and a condition described as rising bottoms. It then adds a market-value ceiling to the proposed final screen. The article also sketches how to…

AcțiuniPiețele din ChinaIndicatori tehniciMomentum