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

MQL5 code base

This indicator adapts Bollinger Bands using recursive smoothing based on the Laguerre-style equations described in the document. It estimates a central line from the median of each bar’s high and low, then builds upper and lower bands from a smoothed measure…

Tekniske indikatorerVolatilitet
SuperMind

The post describes a short horizon stock screen combining daily range, a “morning star” pattern, and a bounded opening price change. Its stated thresholds are amplitude above 1%, with opening change between −5% and 2.6%; the accompanying formula also limits…

AktierTekniske indikatorerMomentumRisikostyring
BigQuant

The article compares long and short training windows for an AI stock selection strategy and recommends evaluating each window against a fixed validation period. In its rolling experiments, extending the sample from 2005 to 2021 changed labels, factor…

AktierMaskinlæringBacktestingStatistik
MQL5 code base

This document describes an expert advisor that uses an unusual filter involving the intersection of two moving averages. The user can set a price type for the current bar and choose a signal filter based on the fast average, the slow average, or that bar's…

ValutahandelTekniske indikatorerOrdreudførelse
SuperMind

This Chinese-language post sketches a stock selection approach that ranks shares by trading activity, using volume and turnover as proxies for capital strength, and also considers share price. It proposes selecting highly ranked stocks on these measures,…

AktierFaktorinvesteringStatistikBacktesting
MQL5 code base

This document describes a MetaTrader expert advisor built around signals from Fractals and Stochastic indicators. Traders can choose to require both indicators or use either one on its own. The listed inputs also allow configuration of position volume, stop…

Tekniske indikatorerRisikostyringPositionsstørrelse
MQL5 code base

The document describes momentum deviation as a variation of standard deviation that applies the calculation to price momentum rather than to price itself. It says the method is designed to use minimal CPU resources and produces values similar to standard…

Tekniske indikatorerVolatilitetStatistik
SuperMind

This Chinese-language post outlines an equity screening rule that ranks stocks by volume ratio and selects the top 100. It also proposes comparing rolling 7-day and 30-day moving averages, describing the filter as requiring the shorter average to be above…

AktierTekniske indikatorerMomentum
SuperMind

This note presents a Chinese stock screen using two short-term conditions: a daily increase in the share of positions held above 5% and an opening-auction return between -2% and 5%. It also limits the stated sample period to 2021. The document interprets the…

AktierKinesiske markederMomentumTekniske indikatorer
BigQuant

This submission outlines an intraday stock-selection idea for a day when a market theme is breaking out. It proposes identifying a popular sector early, using large orders that hold at the daily price limit as a sign of a clear direction, then ranking…

AktierKinesiske markederOrdreudførelseMarkedsmikrostruktur
SuperMind

This note describes a stock screen combining metaverse sector membership, a rounded price pattern, and a share price below 12 yuan. It suggests these filters as a way to identify lower-priced stocks in an emerging industry, and mentions RSI, MACD, and moving…

AktierTekniske indikatorerKinesiske markeder
SuperMind

This Chinese community post outlines an equity screen combining three filters: membership in the metaverse theme, positive net buying attributed to major participants during the opening auction, and an appearance on the prior day’s public trading activity…

AktierKinesiske markederMarkedssentimentOrdreudførelse
BigQuant

This Chinese post compiles a selection of 65 titles from a much larger collection of publicly released Springer books, focusing on data and machine learning. The bibliography spans foundations such as algebra, probability, statistics, optimization, and time…

MaskinlæringStatistikAktier
SuperMind

This Chinese community post describes a daily stock screen requiring an amplitude reading above 1, a daily percentage change between -5% and -4%, and no limit-up session on the previous day. It presents the conditions as a way to identify volatile stocks…

AktierVolatilitetTekniske indikatorerRisikostyring
MQL5 code base

This indicator defines a trend reversal by comparing a bar’s close with the extremes of a preceding window. An upward reversal occurs when the current close exceeds the highs of the previous x minus one bars; a downward reversal occurs when it falls below…

ValutahandelTrendfølgningKursgennembrudTekniske indikatorer
SuperMind

This note outlines a stock screen for beverage and alcohol related companies. It combines turnover between 3% and 12% with an industry classification and measures of buying by large or extra-large orders during the opening auction. The stated rule uses an…

AktierKinesiske markederMarkedsmikrostrukturRisikostyring
SuperMind

This note describes a Chinese equity screen combining turnover, order book depth, and institutional trading. It selects stocks with turnover between 3% and 12%, displayed best bid volume above best ask volume, and a positive institutional trading measure. A…

AktierMarkedsmikrostrukturKinesiske markederRisikostyring
MQL5 code base

The indicator implements a moving average attributed to Buff Dormeier. It first calculates volume multiplied by closing price, then takes a simple moving average of that value and divides it by a simple moving average of volume over the same configurable…

Tekniske indikatorer
MQL5 code base

Rainbow Clouds is described as a collection of moving averages presented together as cloud indicators. The concept is to display multiple averages as a grouped visual overlay, rather than a single moving-average line. The text does not explain the averaging…

Tekniske indikatorerTrendfølgning
SuperMind

This brief installment in a multi-factor modeling series contrasts two ways of estimating factor information. It says that Barra-style models typically take factor exposures directly from fundamental or technical data, while academic approaches often…

FaktorinvesteringStatistik
MQL5 code base

The document describes a signal engine for detecting when price approaches a channel boundary and then reverses away from the extreme. It distinguishes this two-stage condition from treating mere proximity as an entry signal. A state machine applies…

Tekniske indikatorerKursgennembrudTilbagevenden til gennemsnittet
quant-trading

This notebook demonstrates a Monte Carlo approach to forecasting stock prices with geometric Brownian motion. It estimates drift and volatility from historical log returns, generates many simulated price paths, and splits the price series sequentially into…

AktierStatistikRisikostyringBacktesting
SuperMind

This post outlines a Chinese equity screen using three activity and size filters: daily turnover between 3% and 12%, circulating market value between 5 billion and 10 billion yuan, and prior-day opening-auction turnover above 0.26. It gives a technical…

AktierKinesiske markederTekniske indikatorerMarkedsmikrostruktur
Kraken Learn

This overview introduces PayPal USD (PYUSD), a stablecoin launched in August 2023 for the PayPal payment system. It explains the general collateralization model: an issuer holds reserve assets intended to match the value of tokens in circulation. According…

KryptoDeFiSpotmarkeder