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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
QuantRocket
7 documenten
Lumibot strategies
7 documenten
Awesome Quant
1 documenten

Doorzoek de bibliotheek

12,226 documenten

SuperMind

The document describes a Chinese mainland stock screen combining three conditions: turnover between 3% and 12%, a daily gain above 1%, and large plus extra-large buy volume in the auction above the stated threshold. It presents the screen as a way to seek…

AandelenMomentumMarktmicrostructuurChinese markten
SuperMind

The document describes a Chinese equity screen for companies classified in the metaverse sector. It selects stocks with a positive return and turnover between 2% and 9%, aiming to favor shares with some trading activity while avoiding very high or very low…

AandelenTechnische indicatorenChinese markten
SuperMind

The document describes a Chinese stock selection rule combining a MACD condition, a recent high, and a dividend-related filter. Its stated formula looks for MACD above zero, the current high matching the highest high over two days, and a 2019 dividend ratio…

AandelenChinese marktenTechnische indicatorenFactorbeleggen
SuperMind

This document outlines a short-term stock screen for Chinese equities. It combines daily price amplitude above 1%, market capitalization below 10 billion yuan, positive earnings, and a low KDJ reading (K at or below 20) intended to identify stocks near a…

AandelenChinese marktenTechnische indicatorenTerugkeer naar het gemiddelde
SuperMind

This screen selects stocks with turnover between 3% and 12%, three consecutive declining closes, current volume above 10,000 lots, and an opening price above the previous close. The article presents these filters as a combination of price action, trading…

AandelenTechnische indicatorenMomentumRisicobeheer
SuperMind

This stock-screening idea ranks candidates by capital-flow strength and filters for two price-history conditions: at least one limit-up event during the previous 25 days and at least two during the previous 500 days. The article frames recent and longer-term…

AandelenMomentumGebeurtenisgestuurdRisicobeheer
SuperMind

This article introduces Bollinger Bands as a volatility-based technical indicator built around a moving average. It describes the middle band as an N-day average of closing prices and the upper and lower bands as that average plus or minus a multiple of the…

AandelenTechnische indicatorenVolatiliteitTerugkeer naar het gemiddelde
SuperMind

The post presents a stock-screening idea that combines a morning star candlestick pattern, associated with a possible bullish reversal, with a shrinking MACD histogram on a 15-minute chart. It describes using both conditions to identify candidate buy signals…

AandelenTechnische indicatorenBacktesten
SuperMind

The document explains factors as measurable characteristics of assets that can serve as inputs to quantitative models and investment strategies. It outlines four common feature-engineering steps: cleaning missing or erroneous observations, standardizing…

FactorbeleggenMachine learningStatistiekAandelen
SuperMind

The document describes a stock screen combining recent buying activity, the ratio of actively bought to actively sold volume, and a historical dividend payout measure. Its main text specifies a buying-activity share above 5%, an outside-to-inside volume…

AandelenMomentumMarktsentimentRisicobeheer
SuperMind

The document proposes a Chinese stock screen that pairs a 14-period RSI below 65 with year-over-year net profit growth above 20% and no more than 100%, plus a return on equity above 15% over five years. It presents the conditions as a way to combine a…

Chinese marktenAandelenTechnische indicatorenFactorbeleggen
SuperMind

The document presents a Chinese equity screening idea combining daily price range, a recent three-session limit-up streak, and a rising DEA trend indicator. Its stated rationale is that a large range identifies active stocks, a sequence of limit-ups signals…

Chinese marktenAandelenTechnische indicatorenMomentum
SuperMind

This stock selection approach combines three filters: a price-range threshold, a bullish crossover of the five-week and ten-week moving averages, and a minimum time since listing. The post explains the crossover and trading-range conditions as technical…

AandelenTechnische indicatorenBacktestenMachine learning
SuperMind

This post describes a short-term screen for main-board Chinese stocks. It selects shares with an intraday high-low range above a threshold, a high large-order net-flow ranking, and a daily gain above a threshold, then ranks candidates by market…

AandelenMomentumTechnische indicatorenChinese markten
SuperMind

This Chinese stock-screening proposal selects shares with a daily high-low range greater than 1 that had three consecutive limit-up sessions as of the previous day, while excluding the STAR Market. The article interprets the range as a sign of volatility and…

AandelenChinese marktenMomentum
SuperMind

This stock-screening recipe combines a daily high-low range greater than 1, prior-day actual turnover between 3% and 28%, and a MACD reading below zero from two days earlier. The article frames the lagged MACD condition as a way to identify stocks that may…

AandelenChinese marktenTechnische indicatoren
SuperMind

This Chinese stock-screening example combines three filters: the 20-day moving average must exceed the 120-day average, the 14-period RSI must be below 65, and candidates are ordered by a measure of stock popularity or trading heat. The stated rationale is…

AandelenChinese marktenTechnische indicatoren
SuperMind

The document outlines a stock screen combining a daily high-low range threshold, return on equity above a stated level for five consecutive years, and a selected company characteristic. It presents the range as a way to identify stocks with price movement…

AandelenFactorbeleggenTechnische indicatorenBacktesten
SuperMind

The document describes a Chinese equity screening rule that places stocks in a candidate pool when their high-to-low price range exceeds 1%, the trading year is 2021, and company scale is at least 200 million. It gives example implementations in a charting…

AandelenChinese marktenVolatiliteitTechnische indicatoren
SuperMind

This stock selection approach combines three filters: a 14-period RSI below 65, best bid volume greater than best ask volume, and at least two limit-up sessions in a 500-day lookback. The article frames these conditions as a way to find shares with prior…

AandelenTechnische indicatorenMomentumMarktsentiment
SuperMind

The post proposes screening Shanghai-listed A-shares using an RSI below 65 and an external-to-internal trading volume ratio above 1.3. Its example also filters out stocks whose current price change is at or below negative 3 percent. The stated rationale is…

Chinese marktenAandelenTerugkeer naar het gemiddeldeTechnische indicatoren
SuperMind

This Chinese stock-screening note describes a momentum-oriented rule for the metaverse industry: select stocks that had a limit-up event within the prior 25 days and whose high is at a two-day high. It says to run the screen before 10 a.m. and trade the…

Chinese marktenAandelenMomentumUitbraak
SuperMind

This A-share screening proposal places stocks in a candidate pool when they meet three technical conditions: daily amplitude above a stated threshold, a newly formed KDJ crossover, and at least five coincident moving averages. The post explains these filters…

AandelenChinese marktenTechnische indicatorenMomentum
SuperMind

This Chinese A-share screening proposal combines daily price range, weekly MACD, a non-ST restriction, and a five-pen limit-up pattern. It describes selecting stocks before 10 a.m. and gives formula and Python examples intended to express the conditions. The…

AandelenChinese marktenTechnische indicatorenMomentum