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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
WonderTrader
14 documenten
Alphalens
14 documenten
backtesting.py
11 documenten
Technical Analysis
9 documenten
QTPyLib
8 documenten
Lumibot strategies
7 documenten
QuantRocket
7 documenten
Awesome Quant
1 documenten

Doorzoek de bibliotheek

12,226 documenten

SuperMind

This screening rule selects stocks with an intraday amplitude above one, a daily percentage decline between four and five percent, and a circulating-share threshold stated as no more than 5.5 billion shares. The document presents the criteria as a short-term…

AandelenChinese marktenTechnische indicatorenRisicobeheer
SuperMind

This stock-screening idea targets shares in the metaverse industry, ranks them by the day’s opening auction amount, and selects the top five that have closed lower for seven consecutive sessions. The document expresses the down-day condition as a…

AandelenChinese marktenTechnische indicatorenBacktesten
SuperMind

This post proposes screening A-share stocks in the metaverse industry with a circulating share count no greater than 5.5 billion, then identifying a weekly bullish crossover in which the five-week moving average rises above the ten-week moving average. It…

AandelenTechnische indicatorenMomentumChinese markten
SuperMind

This Chinese-language post describes a daily pre-open screen for A-share stocks. It combines a positive MACD condition with a share price below 12 and a stated increase in holdings above 5%. The rationale is to mix a trend signal and a low nominal price with…

AandelenTechnische indicatorenMomentumRisicobeheer
SuperMind

This Chinese-language post presents an equity screen focused on stocks classified in the metaverse industry. It combines a volume-ratio range with a condition based on the prior day’s turnover rate multiplied by the ratio of current auction volume to…

AandelenChinese marktenTechnische indicatorenMarktsentiment
SuperMind

This A-share selection rule looks for stocks with amplitude above 1%, a newly formed KDJ crossover, and a closing price below 12. The article treats the range condition as a volatility filter, the crossover as a possible sign of improving momentum, and the…

AandelenTechnische indicatorenMomentumVolatiliteit
SuperMind

The proposed A-share screen selects stocks whose amplitude exceeds 1% and whose current high is the highest across the latest two days, while excluding companies classified as being in Beijing. The article frames amplitude as a volatility condition and the…

AandelenTechnische indicatorenVolatiliteitMomentum
SuperMind

This stock-selection screen combines three filters: amplitude above 1%, an opening price near the 10-day moving average, and turnover between 2% and 9%. The article describes the range filter as a way to find more volatile shares, the moving-average band as…

AandelenTechnische indicatorenVolatiliteitStatistiek
SuperMind

This Chinese stock screening example combines three proposed short-term signals: daily price range above a threshold, a high ranking in large-order net volume, and a “main uptrend start” condition. The formula defines the range using the high-low spread…

Chinese marktenAandelenMomentumTechnische indicatoren
SuperMind

This Chinese stock selection post proposes combining a positive MACD reading with three consecutive down days and a 2021 time filter. Its explanation frames the setup as pairing a longer-term upward indication with recent weakness, but the supplied code does…

Chinese marktenAandelenTechnische indicatorenMomentum
SuperMind

This Chinese strategy example applies a breakout system to a CSI 300 index ETF. It calculates a 50-day average as the middle band and sets an upper band one standard deviation above it. Entry requires the prior close to exceed that upper band and the highest…

Chinese marktenAandelenUitbraakTechnische indicatoren
SuperMind

This note describes a short-term A-share screen requiring turnover between 3% and 12%, an opening price within roughly 5% of the ten-day moving average, and a close between the Bollinger middle and upper bands. It combines a measure of trading activity with…

AandelenChinese marktenTechnische indicatorenVolatiliteit
SuperMind

This note proposes screening Chinese stocks using price amplitude above 1%, prior-day actual turnover between 3% and 28%, and a connection to beverage and alcohol imports. It presents the combination as a way to consider price movement, trading activity, and…

AandelenChinese marktenVolatiliteitMarktmicrostructuur
SuperMind

This note describes a simple A-share stock screen using three conditions: daily price amplitude above 1%, the year 2021, and positive net buying attributed to major investors during the auction. It frames high amplitude as a sign of volatility and auction…

AandelenChinese marktenVolatiliteitMarktmicrostructuur
SuperMind

The document describes a daily stock-selection screen for Chinese equities. It selects shares with turnover between 3% and 12%, a rising DEA condition, and daily MACD above zero. The accompanying rationale treats the turnover band as a way to favor active…

Chinese marktenAandelenTechnische indicatorenMomentum
SuperMind

This stock-selection rule screens Shenzhen Main Board equities using turnover, trading-flow, and valuation filters. It selects stocks with turnover between 3% and 12%, an external-to-internal traded-volume ratio above 1.3, price-to-earnings ratios from 0 to…

AandelenChinese marktenFactorbeleggen
SuperMind

This article describes a Chinese A-share screening idea that combines daily volatility, a moving-average trend filter, and a short-term MACD signal. It selects stocks with amplitude above 1, a 20-day moving average above the 120-day average, and a shrinking…

AandelenTechnische indicatorenVolatiliteitChinese markten
SuperMind

This proposed equity screen combines three filters: prior-period price amplitude above 1%, circulating shares no greater than 5.5 billion, and 2021 revenue more than 1.1 times 2018 revenue. The document gives example formula and Python-style implementations…

AandelenTechnische indicatorenFactorbeleggenBacktesten
SuperMind

This Chinese stock-screening strategy combines a turnover range of 3% to 12%, a newly formed KDJ golden cross, and a recent seven-day price decline. The proposed rationale is to favor reasonably liquid stocks, use the indicator crossover as a possible sign…

AandelenTechnische indicatorenTerugkeer naar het gemiddeldeRisicobeheer
SuperMind

The document outlines a daily stock selection rule combining three signals: MACD above zero, ranking by individual stock popularity, and a newly formed KDJ golden cross. The positive MACD condition supplies a trend filter, popularity ranks the candidates,…

AandelenTechnische indicatorenMomentum
SuperMind

The described stock screen ranks shares by the previous day’s combined buy and sell amounts from exchange trading disclosures, then filters for companies with market capitalization below 10 billion yuan and no past losses. The ranking is intended to reflect…

AandelenChinese marktenMarktsentiment
SuperMind

This stock screen combines a MACD condition above the zero line, a two-day high, and a shortening negative MACD histogram on a 15-minute chart. It also excludes stocks in a specified Chinese market segment. The accompanying implementation outline uses daily…

Chinese marktenAandelenTechnische indicatorenMomentum
SuperMind

This stock screen selects shares whose 20-day moving average is at or above the 120-day average, whose price is below a stated price ceiling, and whose six-period RSI is below a stated threshold. The article presents the combination as a way to pair a…

Chinese marktenAandelenTechnische indicatorenTrendvolgend
SuperMind

This Chinese A-share screening idea combines a daily price-range filter, a newly formed KDJ crossover, and evidence of a recent limit-up move. The proposed interpretation is that a larger range signals volatility, the crossover may indicate improving…

Chinese marktenAandelenTechnische indicatorenMomentum