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Kunnskapsbibliotek

Sammendrag og hovedidéer fra bøker, forskningsartikler, artikler og kode som Stratmills AI-agenter har lest, skrevet av Stratmills forskningsagent. Hver side lenker til originalen.

Quant Q&A
20,364 dokumenter
SuperMind
12,226 dokumenter
OKX Learn
8,431 dokumenter
Strategy library
7,910 dokumenter
MQL5 code base
7,090 dokumenter
BigQuant
3,481 dokumenter
Bitget Academy
3,298 dokumenter
MQL5 articles
3,012 dokumenter
TradingView scripts
1,976 dokumenter
ProRealCode
1,507 dokumenter
Deribit Insights
1,232 dokumenter
Machine Learning for Trading
1,124 dokumenter
arXiv papers
1,033 dokumenter
Amberdata research
766 dokumenter
FMZ forum
682 dokumenter
FMZ digest
662 dokumenter
vn.py community
560 dokumenter
QuantInsti blog
511 dokumenter
Galaxy Research
340 dokumenter
QuantStart
246 dokumenter
Stratmill research code
219 dokumenter
Robot Wealth
195 dokumenter
NautilusTrader
191 dokumenter
Hummingbot docs
181 dokumenter
Paradigm research
175 dokumenter
Lumibot
164 dokumenter
Kraken Learn
163 dokumenter
Bibliotek for kvantkurs
157 dokumenter
OctoBot
152 dokumenter
Cryptohopper blog
144 dokumenter
Systematic trading blog (Rob Carver)
132 dokumenter
Qlib
116 dokumenter
TqSdk
86 dokumenter
Quantpedia
86 dokumenter
Hyperliquid docs
79 dokumenter
Freqtrade
68 dokumenter
Hudson & Thames
62 dokumenter
Awesome Systematic Trading
61 dokumenter
backtrader
54 dokumenter
vn.py
50 dokumenter
Binance API docs
45 dokumenter
Quantopian-forelesninger
45 dokumenter
FMZ guides
38 dokumenter
pysystemtrade
34 dokumenter
Freqtrade docs
32 dokumenter
quant-trading
31 dokumenter
FinRL
28 dokumenter
Zipline
22 dokumenter
FMZ live strategies
21 dokumenter
Jesse
17 dokumenter
pyfolio
16 dokumenter
Alphalens
14 dokumenter
WonderTrader
14 dokumenter
backtesting.py
11 dokumenter
Technical Analysis
9 dokumenter
QTPyLib
8 dokumenter
QuantRocket
7 dokumenter
Lumibot strategies
7 dokumenter
Awesome Quant
1 dokumenter

Søk i biblioteket

3,481 dokumenter

BigQuant

The example code implements a simple long-only threshold strategy for one security. It opens an initial position, then compares each close with the most recent recorded purchase price. A decline beyond the configured buy threshold adds another purchase; a…

RutenettshandelAksjerPosisjonsstørrelseRisikostyring
BigQuant

This document outlines a simplified Merrill Clock approach that classifies economic conditions using the direction of year-over-year GDP and CPI changes. It applies moving averages to reduce short-term noise and delays the economic data by one period in…

Flere aktivaklasserPorteføljekonstruksjonHistorisk testingStatistikk
BigQuant

This short platform guide explains how to limit the prediction or validation stock universe in a visual AI stock selection workflow to a chosen concept sector. It instructs users to insert a shared module for selecting stocks from a specified concept sector…

MaskinlæringAksjerKinesiske markeder
BigQuant

This strategy description outlines a daily MACD crossover system for Kweichow Moutai shares. It buys when the fast MACD line crosses above the slow line and sells when the slow line crosses above the fast line. The stated setup uses daily stock bars, starts…

AksjerKinesiske markederTekniske indikatorerMomentum
BigQuant

This discussion explains when stock universe filters should apply to both model training data and prediction data, and when they might be applied only at trading time. Its general recommendation is to use the same data processing in both sets. Filters that…

MaskinlæringAksjerRisikostyringHistorisk testing
BigQuant

This report examines whether mainland China’s northbound investor flows can inform A-share trading. It tests flow thresholds for market timing, ranks sectors and stocks by net inflows, and combines sector selection with stock selection. The timing approach…

AksjerKinesiske markederMarkedsmikrostrukturMomentum
BigQuant

This forum post asks how to test high-frequency equity factors built from minute bars. It cites examples from a China International Capital Corporation multi-factor series: the average squared correlation between the high and low prices of 50-minute bars,…

AksjerHøyfrekvenshandelFaktorinvesteringStatistikk
BigQuant

This brief Chinese-language assignment submission argues that factor quality matters more than the choice of predictive model: a strong factor is presented as the foundation of a strong strategy. It says the author ran a linear-regression strategy because…

FaktorinvesteringMaskinlæringHistorisk testing
BigQuant

This essay argues that traders who blame quantitative funds for losses may overlook weaknesses in their own discretionary process. It identifies three recurring pitfalls: emotional decisions, overgeneralizing from vivid stories or isolated winners, and…

AksjerKinesiske markederTilbakevending mot gjennomsnittetMomentum
BigQuant

This midyear financial engineering report reviews China’s equity market through the first half of 2020 and frames its outlook around two themes: timing the market by following trends and reviewing factor-based stock selection. Its summary describes a gradual…

AksjerKinesiske markederTrendfølgende handelFaktorinvestering
BigQuant

The document outlines a quantitative approach to forming a daily market outlook. It compares the current broad-market setup with similar historical situations, drawing on more than ten years of past market data, and uses the subsequent behavior of those…

StatistikkHistorisk testingPosisjonsstørrelseAksjer
BigQuant

The document discusses constructing supervised-learning targets from daily Chinese stock data. Its SQL example derives a forward return from later prices, clips extreme values using the first and ninety-ninth percentiles, and selects dates, instruments, and…

Kinesiske markederAksjerMaskinlæringStatistikk
BigQuant

This report studies whether company patent data can help predict stock performance. It compares factors based on patent counts and types, including invention patents, utility models, and design patents. The report treats granted invention patents as the most…

AksjerFaktorinvesteringHistorisk testingKinesiske markeder
BigQuant

This forum post flags a data-quality concern in the net profit year-over-year growth field for Beijing Stock Exchange listings. The author reports substantial differences between the values from two named market-data sources and shows many securities with a…

AksjerStatistikkKinesiske markederFaktorinvestering
BigQuant

The document explains VeighNa's standardized datafeed configuration and lists supported providers, their broad instrument coverage, and available data frequencies. Configuration uses a provider name and credentials, with a token placed in the password field…

Flere aktivaklasserFuturesOrdreutførelse
BigQuant

This support exchange compares a median absolute deviation (MAD) clipping calculation with a platform's outlier-removal module. The example method computes a series median, finds the median absolute distance from that value, and clips observations to bounds…

StatistikkAksjer
BigQuant

The document summarizes Chinese equity research on refining a traditional idiosyncratic volatility factor. The baseline measure is built from a Fama–French three-factor model. The report links volatility clustering in individual stock returns to persistence…

Kinesiske markederAksjerVolatilitetFaktorinvestering
BigQuant

This overview explains automated trading as the use of software to generate or act on trading instructions, place orders, and manage positions with varying degrees of human involvement. It outlines a basic workflow: configure a platform, define entry and…

OrdreutførelseHistorisk testingRisikostyring
BigQuant

This screen selects stocks in the metaverse theme whose indicated 9:25 price change is below 6% and whose weekly price crosses above a 30-week moving average. The document presents the theme as a way to focus on a current market segment, the early-session…

AksjerTekniske indikatorerMomentumKinesiske markeder
BigQuant

This Chinese equity-market report uses distance from each stock or index’s highest closing price over the prior 250 trading days to monitor trends and identify potentially leading industries. It counts stocks that reached a 250-day high during the latest 20…

AksjerKinesiske markederMomentumTrendfølgende handel
BigQuant

The post explains Stochastic RSI as an RSI series normalized against its recent range, then smoothed to produce a fast line and a signal line. It relates common naming conventions: the fast %K line corresponds to the Stochastic RSI output, while %D…

Tekniske indikatorerMomentumKrypto
BigQuant

This introductory article explains overfitting as a model learning quirks in its training data instead of patterns that generalize. It contrasts strong training performance with weaker results on unseen observations, using a résumé screening example, and…

MaskinlæringStatistikkHistorisk testing
BigQuant

This research summary examines the ChiNext 50 index through the supply chains of its constituents, arguing that sector weights alone miss how technology firms connect to suppliers and customers. It describes the index as concentrated in technology, with…

AksjerKinesiske markederFaktorinvestering