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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

3,481 documenten

BigQuant

This short forum exchange addresses an error in a regression-evaluation workflow that reports a missing label. The response says the problem cannot be diagnosed precisely without details about the task, then recommends first defining what quantity the model…

Machine learningStatistiekBacktesten
BigQuant

The document records a user’s question about a trading platform’s order function: sell instructions appear to execute at the following day’s close rather than the day they are issued. The issue affects holding-period exits and closing-price take-profit or…

OrderuitvoeringBacktestenRisicobeheer
BigQuant

This report reviews quality-focused Smart Beta investing in overseas and Chinese markets. It describes the approach as an index strategy built from company financial data to capture underlying business quality, then compares product development and index…

FactorbeleggenAandelenStatistiekBacktesten
BigQuant

This report examines fund advisory services in China, including how third-party fund platforms work with licensed asset managers and how advisory services may evolve. It describes the platforms mainly as places where advisory strategies are presented, with…

Chinese marktenPortefeuilleconstructieAandelenVastrentende waarden
BigQuant

The article examines whether dividend announcements convey information about future company earnings. It argues that prior studies may have missed this link by grouping earnings by fiscal year, which can treat post-announcement earnings as already known.…

AandelenGebeurtenisgestuurdStatistiekAmerikaanse markten
BigQuant

This document describes a chart indicator that draws support, resistance, and trend lines over a configurable number of bars. It was initially used within a short-term scalping approach on five- and fifteen-minute charts, and later as a standalone indicator…

Technische indicatorenUitbraak
BigQuant

This article explains random forests through CART decision trees, Gini impurity, bootstrap sampling, and aggregation. Trees are trained on resampled data, while their predictions are combined by voting for classification or averaging for regression. It also…

AandelenMachine learningFactorbeleggenBacktesten
BigQuant

This report compares ways to measure similarity among funds, including cosine similarity, Euclidean distance, and return correlations. It argues that the choice of measure should follow the intended meaning of “similar”: resemblance in holdings structure,…

Multi-assetPortefeuilleconstructieStatistiekBacktesten
BigQuant

This short discussion explains how to compute a running total of traded amount separately for each stock in a multi-instrument dataset. A single cumulative sum across the full table combines all instruments, so the suggested approach groups rows by…

AandelenStatistiek
BigQuant

The document introduces factor research as a way to study characteristics that may help explain the returns and risks of financial assets. It names market capitalization, quality, momentum, low volatility, and yield as examples of factors that researchers…

FactorbeleggenStatistiekPortefeuilleconstructieRisicobeheer
BigQuant

This example implements a Dual Thrust breakout strategy on a futures contract using daily bars. It calculates a range from the prior five completed sessions: the larger of the highest high minus the lowest close, or the highest close minus the lowest low.…

FuturesUitbraakTrendvolgendOrderuitvoering
BigQuant

This research note outlines an extension to traditional risk parity. Standard risk parity assigns equal contributions to portfolio volatility, but this approach accounts for only variance and can leave exposure to skewness and kurtosis uneven. Those higher…

Multi-assetPortefeuilleconstructieRisicobeheerStatistiek
BigQuant

The document summarizes research on whether investors react differently to corporate announcements made before major holidays. The study examines US stock repurchases, equity issuance, mergers, and quarterly earnings announcements from 1984 to 2012,…

AandelenGebeurtenisgestuurdMarktsentimentStatistiek
BigQuant

The document catalogs the 158 Alpha158 features used in quantitative equity research. It groups formulas into candlestick shape and normalized price features; trend measures such as returns, moving averages, regression slopes, fit, and residuals; and…

AandelenFactorbeleggenTechnische indicatorenStatistiek
BigQuant

This report describes a multi-factor event rotation approach for finding stock-related events that may be attracting market attention. It considers events involving shareholder behavior, dividend policies, earnings forecasts and growth reports, and private…

AandelenGebeurtenisgestuurdFactorbeleggenStatistiek
BigQuant

This essay argues that traders should pass on marginal setups and act only when a trade strongly meets their criteria. It frames selectivity as a way to reduce unnecessary decisions and make accepting losses more manageable. It also emphasizes studying wins…

RisicobeheerStatistiek
BigQuant

This research summary describes a method for forecasting year-over-year inventory growth across six products in China’s ferrous commodity chain. It treats inventory as an indicator of relative supply and demand, while noting that true inventory is difficult…

GrondstoffenChinese marktenMachine learningStatistiek
BigQuant

This brief troubleshooting note explains one cause of an empty-data error in a futures backtest. It says that the exchange’s contract symbol convention matters: for Dalian Commodity Exchange contracts, the letter portion should be lowercase, and using…

FuturesBacktesten
BigQuant

This report proposes classifying equity sectors by how their excess returns relate to economic conditions. It questions existing Chinese cyclical and noncyclical sector indexes, then measures lead-lag correlations between China Securities Index industry…

AandelenChinese marktenFactorbeleggenBacktesten
BigQuant

The document describes a liquidity premium factor built from buy-side limit order book data. For a chosen trade amount, the method simulates execution against displayed orders, adding interpolated virtual orders as needed, and compares the resulting market…

AandelenFactorbeleggenMarktmicrostructuurStatistiek
BigQuant

This article proposes interpreting a sharp drop after a news-driven, limit-up move as a possible shakeout before another advance. Its suggested filters are a month or more of relatively quiet consolidation with range contained within 20%, a stock near the…

AandelenChinese marktenUitbraakMomentum
BigQuant

The document introduces Bayes’ theorem as a way to update the probability of an event after receiving new evidence. It defines the prior probability, likelihood, marginal probability, and posterior probability, and gives the formula relating them. It also…

StatistiekMachine learningAandelenRisicobeheer
BigQuant

This Chinese equities study proposes quantifying unusual intraday stock behavior by measuring how often a stock moves against a market index. It uses correlation as a screening tool to identify these divergence events, then treats them as event-driven…

Chinese marktenAandelenGebeurtenisgestuurdStatistiek
BigQuant

This Chinese-language monthly and weekly product review reports results for several China equity strategies in May 2018. It covers multi-factor index enhancement portfolios linked to the CSI 300 and CSI 500, a short-horizon price-volume model, AI stock…

Chinese marktenAandelenFactorbeleggenMomentum