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Kennisbibliotheek

Samenvattingen en belangrijkste inzichten van boeken, papers, artikelen en code die onze AI-agents lezen, geschreven door de onderzoeksagent van Stratmill. Elke pagina verwijst naar het origineel.

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

Doorzoek de bibliotheek

12,226 documenten

SuperMind

This Chinese A-share screening example combines a metaverse industry filter with a volume ratio between 1.5 and 6 and a positive weekly red-bar signal. Its final version adds a circulating market capitalization cap of 20 billion yuan. The article supplies…

AandelenChinese marktenTechnische indicatorenMomentum
SuperMind

This proposed stock screen selects shares with turnover between 3% and 12%, greater displayed volume at the best bid than at the best ask, and an opening price near the 10-day moving average. The stated rationale is to combine trading activity with a simple…

Chinese marktenAandelenTechnische indicatorenMarktmicrostructuur
SuperMind

This proposed China A-share screen combines three conditions: turnover between 3% and 12%, a newly formed KDJ bullish crossover, and classification in the metaverse industry. The rationale is to avoid unusually inactive or excessively active shares, use the…

Chinese marktenAandelenTechnische indicatorenMomentum
SuperMind

This document starts with an A-share selection idea based on metaverse-sector membership, a rounded price pattern, and a current low below the prior day's low. It then proposes a different, expanded screen: a rounded pattern, price above the 20-day moving…

AandelenChinese marktenTechnische indicatorenMomentum
SuperMind

This document outlines a proposed A-share screen that excludes Beijing-listed stocks, selects shares whose high-to-low amplitude exceeds 1%, and looks for a prior-day 9:15 matching price equal to the limit-down price. It frames the amplitude filter as a way…

AandelenChinese marktenVolatiliteitMarktsentiment
SuperMind

This document describes a Chinese A-share screening rule that combines turnover, a recent limit-up event, and relative trading volume. Its stated criteria are turnover between 3% and 12%, at least one limit-up in the prior 25 days, and a volume ratio above…

AandelenChinese marktenTechnische indicatorenMomentum
SuperMind

This stock-selection method combines a positive MACD reading, upward expansion or alignment of short moving averages, and year-over-year growth in net profit attributable to parent-company shareholders between 20% and 100%. The intended logic mixes trend…

AandelenChinese marktenTechnische indicatorenMomentum
SuperMind

This technical stock screen looks for daily amplitude above 1%, a share price below 20, and no rising session over the previous seven trading days. The article interprets a run of declines as a possible sign that a stock is depressed and could rebound, while…

AandelenChinese marktenTechnische indicatorenTerugkeer naar het gemiddelde
SuperMind

This proposed stock screen selects companies with turnover between 3% and 12%, a positive product of price change and net volume from very large orders, market capitalization below 10 billion yuan, and no reported loss. The article treats turnover as a…

AandelenChinese marktenMarktmicrostructuurOrderuitvoering
SuperMind

This A-share screening rule combines four filters: daily amplitude above 1%, market capitalization below 10 billion yuan, positive trailing net profit, and a nonempty convertible-bond name. The accompanying discussion presents the profit and size filters as…

AandelenChinese marktenVolatiliteitTechnische indicatoren
SuperMind

The screen selects stocks with turnover rates between 3% and 12%, a rising KDJ K value below 100, and a listing date earlier than a chosen cutoff. The KDJ condition is implemented by checking whether the current K value exceeds the prior value, while the…

AandelenTechnische indicatorenMomentumStatistiek
SuperMind

This A-share screening rule selects stocks classified in the metaverse theme that appeared on the previous day’s trading leaderboard and whose previous-day closing price was above the 250-day moving average. The document outlines the conditions and gives…

AandelenTechnische indicatorenMomentumChinese markten
SuperMind

The proposed screen selects Chinese stocks associated with the metaverse theme, requires circulating market capitalization above the stated threshold, and looks for large-order net volume above 0.05 for at least three consecutive days. The article interprets…

AandelenChinese marktenMomentumTechnische indicatoren
SuperMind

The post proposes screening Chinese stocks by price amplitude, calendar year, and shareholder concentration. Its stated rules require amplitude above 1%, observations from 2021, and a concentration measure between 20% and 70%. It interprets higher amplitude…

AandelenTechnische indicatorenChinese marktenRisicobeheer
SuperMind

The document describes an A-share stock screen combining an RSI below 65, seven consecutive down sessions, and a daily return between -5% and 2.6%. It presents the rules as a way to find stocks that have weakened recently without showing a strong daily move,…

AandelenTechnische indicatorenChinese marktenBacktesten
SuperMind

This post describes a Chinese stock screen using turnover between stated bounds, three consecutive declining closes, and a prior closing price above its 250-day moving average. It includes a technical-indicator formula and a Python example that queries daily…

AandelenTechnische indicatorenTrendvolgendChinese markten
SuperMind

This post describes a Chinese equity screening rule that selects stocks with a six-period RSI below a threshold, a share price below a stated ceiling, and a positive return over the recent ten-day interval that remains below an upper bound. It gives an…

AandelenTechnische indicatorenMomentumChinese markten
SuperMind

This document describes a Chinese equity screen requiring daily turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders above 20% and no greater than 100%, and a positive return from the day’s open. It…

AandelenChinese marktenFactorbeleggenTechnische indicatoren
SuperMind

This document describes a Chinese equity screen combining daily turnover, listing age, price movement, and large-order net volume. It selects stocks with turnover between 3% and 12%, listed in 2021, whose daily return multiplied by a large-order net-volume…

AandelenChinese marktenMarktmicrostructuurTechnische indicatoren
SuperMind

The document describes a Chinese A-share screening strategy that combines daily turnover, the opening price relative to the 10-day moving average, robot-sector membership, and a circulating-market-value ceiling. Its stated criteria select stocks with…

AandelenChinese marktenTechnische indicatorenMomentum
SuperMind

The document describes a short-term stock screen that combines a daily price-range threshold, a closing price of 18.5 yuan, and a candlestick pattern labeled a morning star. It presents the conditions both as a formula-style filter and as an attempted Python…

AandelenTechnische indicatorenChinese markten
SuperMind

This stock screen combines three conditions: at least five moving averages clustered together, a positive “morning star” signal, and a dividend payout ratio above 25% in 2019. The document describes moving average overlap as a sign of stable prices, the…

AandelenTechnische indicatorenTerugkeer naar het gemiddeldeChinese markten
SuperMind

This stock screening idea combines two signals: rank stocks by capital flow strength, then identify those whose five week moving average crosses above the ten week moving average. The document frames the crossover as a sign of improving short term direction…

AandelenTechnische indicatorenMomentumChinese markten