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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
Quantopian-colleges
45 documenten
Binance API docs
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 stock screening note describes a selection rule based on price amplitude, opening auction value, and the previous session’s actual turnover. The initial screen looks for amplitude above 1, ranks stocks by current auction value, keeps the top…

AandelenChinese marktenTechnische indicatoren
SuperMind

This stock screen selects companies listed in 2021 whose ten-day price change is positive but below 35%, while turnover falls between 3% and 12%. The article frames the filters as a way to find stocks with recent gains and constrain the screen to a specified…

AandelenChinese marktenMomentumTechnische indicatoren
SuperMind

The document describes a Chinese equity screen that keeps stocks with turnover between 3% and 12% and at least one limit-up event during the previous 25 days, then ranks candidates by individual-stock popularity. It presents the rule as a way to combine…

AandelenChinese marktenMomentumMarktsentiment
SuperMind

The document describes a Chinese stock selection rule combining three filters: turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders above 20% and at most 100%, and a prior-day price condition described…

AandelenChinese marktenTechnische indicatorenFactorbeleggen
SuperMind

This post describes a Chinese equity screening rule that combines prior-day price amplitude above 1%, an appearance on the prior day’s Dragon-Tiger list, and turnover between 2% and 9%. It frames the combination as a way to find volatile, actively traded…

AandelenChinese marktenTechnische indicatorenRisicobeheer
SuperMind

This A-share screening proposal combines three conditions: intraday amplitude above 1%, at least five overlapping moving averages, and a gain below 6% at 9:25. Its explanation treats the overlap and amplitude filters as signals of relatively stable price…

AandelenChinese marktenTechnische indicatorenRisicobeheer
SuperMind

This A-share screening idea selects stocks in the metaverse industry with circulating share capital no greater than 5.5 billion shares and a maximum decline for the day between 4% and 5%. The stated rationale is to find candidates for a possible short-term…

AandelenChinese marktenTerugkeer naar het gemiddeldeTechnische indicatoren
SuperMind

This A-share screening proposal combines membership in the metaverse industry with a curved price formation and a control-ratio threshold. It then adds a monthly MACD condition and a long-horizon moving-average crossover. The article describes the screen as…

Chinese marktenAandelenTechnische indicatorenMomentum
SuperMind

The document outlines a China A-share screening rule focused on metaverse stocks. It selects shares whose observed opening gain is below 6%, whose open is within 5% of the 10-day moving average of closes, and whose 14-period RSI is below 60. It gives…

Chinese marktenAandelenTechnische indicatorenMomentum
SuperMind

The document outlines a China A-share stock screen based on daily price range, geography, and circulating market value. Its stated filters require amplitude above 1%, exclude Beijing-listed shares, and select companies with circulating market value above 10…

AandelenChinese marktenTechnische indicatorenFactorbeleggen
SuperMind

This Chinese-language post outlines a stock screen for companies classified in the metaverse sector. Its stated final criteria require a volume ratio above 1.5 and below 6, the current day's low below the prior day's low, and market capitalization under 50…

AandelenChinese marktenTechnische indicatorenStatistiek
SuperMind

This Chinese-language post describes a mainland China stock screen combining turnover of 3%–12%, membership in a robotics concept group, circulating market value below 10 billion yuan, and exclusion of stocks that hit the upper price limit on the prior day.…

AandelenChinese marktenTechnische indicatorenStatistiek
SuperMind

The post describes a Chinese equity screen applied after 2 p.m. It selects stocks with turnover between 3% and 12%, a positive return over the prior ten days below 35%, and positive large-trade net inflows in the afternoon. A Python example sketches a…

Chinese marktenAandelenMomentumTechnische indicatoren
SuperMind

The post proposes screening stocks classified in the metaverse sector for a rounded price formation and comparatively strong fund-flow intensity. It describes a volume-related calculation that combines trading volume with the close-to-open move relative to…

AandelenChinese marktenTechnische indicatorenMarktmicrostructuur
SuperMind

This post outlines a Chinese equity screen that selects stocks in the beverage and alcohol import-export category when their 14-period RSI is below 65 and a same-day control measure exceeds a stated threshold. It presents the screen as combining a technical…

AandelenChinese marktenTechnische indicatorenMomentum
SuperMind

This post proposes a stock-selection screen using RSI below 65, a condition involving price change multiplied by a large-order flow measure, and today’s position increase share above 5%. It presents the combination as a way to consider technical conditions…

AandelenTechnische indicatorenMomentumRisicobeheer
SuperMind

The article explains return on invested capital (ROIC), return on equity (ROE), and weighted average cost of capital (WACC) as tools for judging whether a company’s growth creates value. ROIC relates after-tax operating profit to invested capital, while ROE…

AandelenFactorbeleggenRisicobeheerStatistiek
SuperMind

The document presents an intraday stock-selection screen for Chinese equities. It selects stocks with an amplitude above 1, a product of prior-day turnover and the ratio of current auction volume to prior-day volume between 0.5 and 2, and a price rise below…

AandelenChinese marktenTechnische indicatorenRisicobeheer
SuperMind

The post proposes a stock selection rule combining price amplitude above a stated threshold, progressively rising bottom levels, and a bullish weekly bar. It characterizes these as technical signals for price movement and buying interest, then suggests…

AandelenTechnische indicatorenMomentumRisicobeheer
SuperMind

The post describes a way to prompt a language model to produce backtest code for the SuperMind platform: provide platform-specific function documentation, spell out the desired trading logic, and warn against known invalid patterns. Its example requests a…

AandelenTechnische indicatorenBacktestenOrderuitvoering
SuperMind

This short-term Chinese stock screen selects shares whose daily price amplitude exceeds 1, whose reported daily control measure has an absolute change above 21, and whose auction-period return lies between -2% and 5%. The post presents these filters as a…

Chinese marktenAandelenTechnische indicatorenRisicobeheer
SuperMind

This Chinese equity screening proposal combines a ranking by capital strength with an exclusion for Beijing-listed A-shares and a revenue-growth condition. Capital strength is described broadly using measures such as trading volume, turnover, or order-side…

Chinese marktenAandelenFactorbeleggen