Spring til indhold

Videnbibliotek

Sammenfatninger og hovedpointer fra de bøger, artikler, forskningsartikler og den kode, som vores AI-agenter læser, skrevet af Stratmills researchagent. Hver side linker 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 med kvantkurser
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-forelæsninger
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

Søg i biblioteket

79,386 dokumenter

SuperMind

The article surveys the development of quantitative trading through stories about Jules Regnault, Edward Thorp, and James Simons. It describes using historical price data and mathematical models to identify market patterns, Thorp’s probability-based…

StatistikMaskinlæringFlere aktivklasserRisikostyring
SuperMind

This Chinese stock-screening proposal selects high-amplitude shares that had three consecutive limit-up sessions, then checks whether the latest close lies between the middle and upper Bollinger Bands. The post presents the sequence as a way to find active…

Kinesiske markederAktierTekniske indikatorerKursgennembrud
MQL5 code base

This indicator guide explains how logarithmic transformations can express price behavior in relative rather than absolute terms. It distinguishes a log price, calculated as the natural logarithm of the close, from log returns, calculated as the difference…

Tekniske indikatorerStatistikVolatilitetMomentum
SuperMind

This stock-screening idea combines three conditions: at least five moving averages converge, company scale exceeds two hundred million in the source’s stated units, and the dividend payout ratio for 2019 is above 25 percent. The post interprets converging…

Kinesiske markederAktierTekniske indikatorerFaktorinvestering
BigQuant

This older Chinese-equity strategy looks for stocks that rally to the daily limit, pull back, and later break to a new high. It defines a pullback as any post-limit-up close below the earlier limit-up price. After the pullback, a new high triggers a purchase…

Kinesiske markederAktierKursgennembrudMomentum
SuperMind

This screening approach focuses on stocks classified in the metaverse sector, with actual turnover on the prior day between 3% and 28%, and a rising KDJ K value. The article interprets sector membership as exposure to a potentially growing theme, turnover as…

AktierTekniske indikatorerMomentumKinesiske markeder
SuperMind

The proposed stock screen selects equities with turnover between 3% and 12%, first-level bid volume greater than first-level ask volume, and a K-line value below 20. The article characterizes these as technical conditions and suggests the combined filters…

AktierTekniske indikatorerMarkedsmikrostruktur
MQL5 code base

This Expert Advisor combines entry signals from the DeMarker oscillator with a position-sizing rule that increases the lot after a losing trade. It exposes the oscillator period, take-profit distance, stop-loss distance, initial lot size, a trade identifier,…

Tekniske indikatorerPositionsstørrelseRisikostyringBacktesting
SuperMind

This document describes a Chinese equity screen that combines three conditions: daily amplitude above 1%, weekly MACD above the zero axis, and positive net buying attributed to major investors during the opening auction. It frames the range and MACD measures…

AktierKinesiske markederTekniske indikatorerMomentum
SuperMind

This document proposes a weekly Chinese equity screen focused on metaverse-related stocks. It selects shares that recorded a limit-up within the prior 25 days and had large-order net volume above 0.05 for at least three consecutive days. The stated approach…

AktierKinesiske markederMomentumTekniske indikatorer
SuperMind

This document describes a Chinese equity screening rule that combines a turnover range of 3% to 12%, a stochastic K value below 20, and a rising MACD signal line (DEA). It presents the conditions as a buy signal and gives example implementations using a…

AktierTekniske indikatorerMomentum
SuperMind

This document presents an A-share stock screen that combines a turnover range of 3% to 12%, a newly formed KDJ golden cross, and a volume ratio between 1.5 and 6. It describes turnover and the crossover as participation and trend signals, while the volume…

AktierTekniske indikatorerMomentumMarkedsmikrostruktur
MQL5 code base

This brief page describes an MQL5 indicator for Chaikin smoothed volatility that allows the user to select the chart timeframe through an input parameter. The default shown is a four-hour period. The page is primarily an indicator listing and setup note: it…

VolatilitetTekniske indikatorer
SuperMind

This A-share selection rule filters for stocks in the beverage and alcohol import-export industry, with turnover between 3% and 12% and at least one limit-up event during the prior 25 days. The post explains the turnover range as a way to seek moderate…

AktierKinesiske markederMomentumMarkedssentiment
SuperMind

This A-share screening idea selects stocks with a MACD line above zero, high relative investor attention, trading volume above a stated threshold, and an opening price above the previous close. The screen is run after the daily close. Its rationale is to…

AktierKinesiske markederMomentumTekniske indikatorer
ProRealCode

This stock strategy builds a daily signal from two nested exponential moving averages: a longer average of closing prices and a shorter average of that result. Their percentage difference serves as a proxy for comparing daily and weekly RSI behavior around…

AktierTekniske indikatorerVolatilitetRisikostyring
SuperMind

This post describes a Chinese A-share stock screen based on three conditions: price amplitude above one percent, a nonempty name for an outstanding convertible bond, and at least one daily gain of ten percent or more during the previous 25 trading days. It…

Kinesiske markederAktierMomentumTekniske indikatorer
BigQuant

This Chinese-language conference excerpt introduces how artificial intelligence is being adopted by global asset managers. It frames technology as one response to falling margins per unit of managed assets, alongside efforts to grow assets under management.…

MaskinlæringFaktorinvesteringPorteføljekonstruktionMarkedssentiment
Amberdata research

The newsletter links weaker U.S. payroll data and expectations for Federal Reserve rate cuts with diverging moves in gold and crypto. It interprets low VIX readings, short VIX futures positioning, and differences between September and October VIX futures as…

KryptoOptionerVolatilitetPrisfastsættelse af derivater
SuperMind

This document proposes screening Chinese stocks with codes beginning in 60 for turnover between 3% and 12% that appeared on the prior day’s market watchlist, known as the Dragon and Tiger List. Turnover is treated as a liquidity filter, while the watchlist…

AktierKinesiske markederMarkedsmikrostrukturMarkedssentiment