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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
Quantpedia
86 documenten
TqSdk
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-language post outlines a stock screen combining a price-amplitude condition, a K-line condition below 20, and the previous close above the 250-day moving average. It presents reference implementations for a charting formula and Python, where the…

AandelenTechnische indicatorenChinese markten
SuperMind

This Chinese equities screen selects companies with intraday range of at least one percent, market capitalization no greater than 10 billion yuan, and positive net profit. It also requires three moving-average crossovers: the 5-day average above the 10-day,…

Chinese marktenAandelenTechnische indicatorenUitbraak
SuperMind

This Chinese stock-selection idea combines a relative strength index below 65, a condition based on multiplying price change by net volume from very large orders, and a positive price-to-earnings ratio. The article presents the mix as a way to include both…

Chinese marktenAandelenTechnische indicatorenMarktmicrostructuur
SuperMind

This Chinese equities screen combines three conditions: a shrinking negative MACD histogram on a 15-minute chart, at least two limit-up sessions within the prior 500 days, and convergence among at least five moving averages. The article interprets…

Chinese marktenAandelenTechnische indicatorenMomentum
SuperMind

The proposed screen seeks five non-ST Chinese stocks before 10:00 using price amplitude above 1 and prior-day trading value above 60 million, then ranks candidates by current percentage change. The article describes these conditions as a way to focus on…

AandelenChinese marktenVolatiliteitMomentum
SuperMind

This proposed Chinese stock screen selects companies associated with the metaverse theme, requires prior-day turnover above 8%, and applies opening-auction conditions involving price change and large and extra-large buy orders. The stated rule requires…

AandelenChinese marktenMarktmicrostructuurOrderuitvoering
SuperMind

This stock screen combines a positive MACD condition with a share price below 12 yuan and a recent high criterion described as the stock's high being the highest over two days. It proposes screening before the trading session, although the reference Python…

AandelenChinese marktenTechnische indicatorenMomentum
SuperMind

The document describes a stock screen combining three conditions: amplitude above 1, three consecutive limit-up sessions through the prior day, and a price below 12 yuan. It presents the pattern as a way to find active, high-attention stocks and gives a code…

AandelenMomentumChinese marktenTechnische indicatoren
SuperMind

This proposed A-share screen combines three filters: membership in the metaverse theme, positive net buying attributed to major participants during the opening auction, and an upward spread in moving averages. The stated moving-average rule compares the…

AandelenChinese marktenMomentumTechnische indicatoren
SuperMind

This A-share stock screen combines a turnover range of 3% to 12%, a positive 10-day gain below 35%, and at least one limit-up event in the previous month. The article characterizes the setup as a momentum-oriented search for stocks that have recently shown…

AandelenChinese marktenMomentumUitbraak
SuperMind

This document outlines a Chinese stock screen combining price amplitude above 1, return on equity above 15% for five consecutive years, and a stock code beginning with 60. It frames amplitude as a volatility filter, persistent ROE as a profitability filter,…

AandelenChinese marktenFactorbeleggenTechnische indicatoren
SuperMind

This stock selection approach combines a price range condition, a turnover and volume activity measure, and year-over-year net profit growth. It screens for stocks with amplitude above one, a product of the prior day's turnover rate and the current auction…

AandelenChinese marktenTechnische indicatorenFactorbeleggen
SuperMind

This Chinese equity screening idea selects stocks with daily amplitude above 1, a listing history longer than three years, and a rising DEA indicator. The rationale is that larger price ranges may coincide with greater trading activity, while excluding…

AandelenChinese marktenTechnische indicatorenMomentum
SuperMind

The document describes a Chinese stock selection rule that seeks shares with turnover between 3% and 12%, listed in 2021, and associated with the metaverse theme. It presents this as a way to narrow the universe to newer listings in a targeted sector. The…

AandelenChinese marktenTechnische indicatorenFactorbeleggen
SuperMind

This screening proposal combines a daily price-range condition, consistently high return on equity over five years, and an opening price near short-term moving averages. The suggested refinement places the open between the prior ten-day and twenty-day…

AandelenFactorbeleggenTechnische indicatorenStatistiek
SuperMind

This stock-screening example combines a metaverse concept filter with an upward-sloping thirty-day moving average and a weekly five-day moving average crossing above the ten-day average. It frames the conditions as a way to find stocks with both sector…

AandelenTechnische indicatorenMomentumChinese markten
SuperMind

This Chinese equity selection rule filters for turnover between 3% and 12%, a positive product of the stock’s price change and super-large-order net volume, and a gain below 6% during the final five minutes before the close. The article presents the…

AandelenChinese marktenMarktmicrostructuurTechnische indicatoren
SuperMind

This note describes a Chinese equity screen combining daily price range, large-order net buying, and year-over-year net profit growth attributable to shareholders of the parent. Its stated final rule requires amplitude above 1, a high large-order net volume…

AandelenChinese marktenFactorbeleggenTechnische indicatoren
SuperMind

This stock selection rule screens for RSI below 65, a K indicator below 20, and circulating market value between 5 billion and 10 billion yuan. The article presents the combination as a way to identify stocks with weak technical readings while restricting…

AandelenTechnische indicatorenChinese marktenTerugkeer naar het gemiddelde
SuperMind

The article explains naive Bayes classification and applies it to a stock selection strategy. The classifier estimates the probability of each outcome from historical labeled observations, assuming features are conditionally independent and equally…

AandelenMachine learningTechnische indicatorenBacktesten
SuperMind

This stock-selection proposal combines turnover between 3% and 12%, a positive ten-day gain below 35%, and a weekly close crossing above its 30-week moving average. The turnover band is intended to select actively traded shares, the return filter limits…

AandelenTechnische indicatorenTrendvolgendBacktesten
SuperMind

The document describes a simple stock screen combining three conditions: daily amplitude above 1%, the current high matching the highest high over two days, and a stock code beginning with 60. The first two conditions target recent price movement and a…

AandelenTechnische indicatorenMomentum