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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-language post outlines a historical stock-selection rule: select shares with turnover between 3% and 12% that recorded seven consecutive daily declines during 2021. It presents this as a way to identify possible rebound candidates after a…

AandelenChinese marktenTerugkeer naar het gemiddeldeTechnische indicatoren
SuperMind

This Chinese-language post presents a stock screen for companies in the metaverse industry. It combines a newly formed bullish KDJ crossover with a long-term price filter: the prior day’s closing price is described as being above the 250-day moving average.…

AandelenChinese marktenTechnische indicatorenMomentum
SuperMind

This post describes a technical screen for stocks in the metaverse industry. It calls for three indicators to form bullish crossovers at the same time and for the closing price to exceed the previous session's low. The post's concrete formula and code…

AandelenChinese marktenTechnische indicatorenMomentum
SuperMind

This post proposes screening Chinese equities for turnover between 3% and 12%, a newly formed KDJ bullish crossover, and at least one daily gain of 10% or more during the prior 25 trading sessions. It frames turnover as a measure of trading activity, the…

AandelenChinese marktenTechnische indicatorenMomentum
SuperMind

This post describes a Chinese stock-selection screen combining three conditions: current amplitude above a threshold, a prior-day 9:15 indicative auction price at the limit-down price, and prior-day turnover above 60 million. It frames these filters as a way…

AandelenChinese marktenMarktsentimentTechnische indicatoren
SuperMind

This overview explains chip distribution as the estimated quantity of shares held across different purchase-price ranges. A distribution chart is presented as a way to infer where investors’ costs cluster, how concentrated holdings may be, and how those…

AandelenMarktmicrostructuurMarktsentimentTechnische indicatoren
SuperMind

This stock-selection note combines three filters: amplitude above 1, at least one daily gain of 10% or more in the previous 25 trading days, and actual turnover on the prior day between 3% and 28%. The author frames these conditions as a way to find…

AandelenMomentumVolatiliteitChinese markten
SuperMind

This Chinese stock-screening note describes selecting shares with an amplitude above 1 and a ratio of yesterday’s turnover rate multiplied by today’s auction volume divided by yesterday’s volume between 0.5 and 2. It also requires recent trading data, with…

AandelenVolatiliteitChinese markten
SuperMind

This Chinese stock-selection note describes a screen using price amplitude above one percent, company scale above 200 million, and a ten-day return greater than zero but below 35 percent. Its expanded version also requires a positive price-to-earnings ratio…

Chinese marktenAandelenMomentumTechnische indicatoren
SuperMind

This Chinese A-share screening idea combines three conditions: daily price amplitude above one percent, at least one limit-up event during the preceding 25 days, and a positive institutional-direction measure. The accompanying discussion treats volatility as…

Chinese marktenAandelenTechnische indicatorenMomentum
SuperMind

The document describes buying already-listed Chinese convertible bonds at lower prices and selling them higher, including the appeal of same-day trading and lower stated transaction fees than stocks. It contrasts this approach with bond subscriptions and…

Chinese marktenVastrentende waardenArbitrageRisicobeheer
SuperMind

The proposed Chinese stock screen combines a 20-day moving average above the 120-day average with RSI below 65 and a revenue ratio above 1.1 for 2021 compared with 2018. It presents the moving-average relationship as a filter for an upward trend, alongside…

AandelenChinese marktenMomentumTechnische indicatoren
SuperMind

The document describes a zero-lag moving average intended to reduce the delay of a conventional moving average. It forms the indicator by taking twice a first moving average of price and subtracting a second moving average applied to that smoothed series.…

Technische indicatorenStatistiek
SuperMind

This research summary describes style drift in active equity mutual funds: departures from a fund’s stated investment mandate that can expose investors to unintended risks. It characterizes style along size, value versus growth, and momentum dimensions, and…

AandelenFactorbeleggenMomentumRisicobeheer
SuperMind

This stock screen combines turnover, prior-day leaderboard inclusion, and Bollinger Band position. It selects shares with turnover between 3% and 12% whose close is above the middle band but below the upper band, using the conditions as a proxy for trading…

AandelenTechnische indicatorenChinese markten
SuperMind

This stock screen selects shares with an intraday high-low range greater than 1%, a newly formed KDJ golden cross, and a price pattern characterized as arc-shaped. The article interprets the range condition as evidence of volatility, the KDJ cross as a…

AandelenTechnische indicatorenMomentumChinese markten
SuperMind

This A-share screening idea combines three conditions: RSI below 65, a circulating market value between 5 billion and 10 billion yuan, and at least one daily gain of 10% or more during the previous 25 trading days. The article explains these as a blend of a…

AandelenTechnische indicatorenMomentumChinese markten
SuperMind

This Chinese-language post describes a stock screen combining a positive MACD reading, a favorable but undefined company-quality condition, and a rising sequence of short- to longer-term moving averages. Its indicator formula specifies MACD above zero and…

AandelenTechnische indicatorenMomentum
SuperMind

This Chinese-language post presents a stock-selection screen for companies in the metaverse sector. It requires yesterday’s turnover rate to exceed 8% and current best-bid quantity to be greater than best-ask quantity. The author interprets the order-book…

Chinese marktenAandelenMarktmicrostructuurMarktsentiment
SuperMind

The document proposes a stock screen using turnover between 3% and 12%, a K value below 20, and a positive rise in the KDJ K line. It frames low K as an oversold-style filter and rising K as a short-term improvement signal, then recommends considering…

AandelenTechnische indicatorenMomentumRisicobeheer
SuperMind

The document presents a stock screen combining daily price movement with two momentum indicators. It selects shares whose amplitude exceeds 1%, whose KDJ K value is below 20, and whose RSI is below 65. The accompanying examples describe calculating these…

AandelenTechnische indicatorenBacktestenRisicobeheer
SuperMind

This A-share stock-selection rule screens for turnover between 3% and 12%, a positive return below 35% over ten days, and at least five overlapping moving averages. The accompanying formula describes five averages with periods of 5, 10, 20, 30, and 60 days,…

AandelenChinese marktenTechnische indicatorenMomentum
SuperMind

This Chinese A-share screening example selects stocks with daily amplitude above 1%, rising short-term moving-average behavior, a robotics theme, and circulating market capitalization below 10 billion yuan. It outlines the idea in prose and gives…

AandelenChinese marktenTechnische indicatorenRisicobeheer