Hopp til innhold

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

79,386 dokumenter

SuperMind

This Chinese stock selection strategy combines four filters: daily high-to-low amplitude above 1%, a robot-related industry concept, circulating market capitalization below 10 billion yuan, and appearance on the previous day’s trading activity list. It also…

AksjerKinesiske markederVolatilitetHendelsesdrevet handel
MQL5 code base

This document describes an expert advisor that trades signals from the MAOscillatorHist indicator. It enters a trade when the indicator histogram changes direction, with the signal evaluated at the close of a bar. The advisor depends on a compiled indicator…

ValutahandelTekniske indikatorerHistorisk testing
WonderTrader

This example implements a tick-driven futures or securities strategy using the wtpy framework. It estimates a theoretical price from the best bid and ask, weighted by the quantities resting on the opposite sides of the book, then compares that estimate with…

HøyfrekvenshandelMarkedsmikrostrukturOrdreutførelseRisikostyring
SuperMind

This Chinese-language post describes a short-term stock selection rule combining three filters: RSI below 65, share price below 12 yuan, and more than two limit-up sessions within the prior ten days. It frames the screen as a way to find relatively…

Kinesiske markederAksjerTekniske indikatorerMomentum
Kraken Learn

The document introduces tokenized equities as blockchain-based tokens representing traditional shares, exchange-traded funds, or other investments. It describes fractional ownership and broader geographic access as potential benefits, and says smart…

AksjerKryptoFlere aktivaklasser
BigQuant

The article argues that trading researchers should judge machine learning papers by simplicity, reproducibility, and generality, alongside reported empirical results. A method that performs well on a benchmark may not transfer to financial prediction, and a…

MaskinlæringStatistikkHistorisk testingFaktorinvestering
SuperMind

This overview argues that no programming language is best for every algorithmic trading system. The choice depends on strategy frequency and volume, data needs, performance targets, development and maintenance costs, and the functions the system must…

OrdreutførelseHøyfrekvenshandelHistorisk testingPorteføljekonstruksjon
MQL5 code base

This indicator marks a candle’s midpoint and colors the marker according to whether the candle is bullish or bearish. It offers two midpoint definitions: the center of the full candle range, calculated from the high and low, or the center of the candle body,…

Tekniske indikatorerAksjer
BigQuant

This study compares ARIMA, a multilayer perceptron, an LSTM, and an ARIMA-GARCH combination for next-day NVIDIA share-price forecasts. It describes ARIMA as a model for linear time-series structure, neural networks as ways to capture nonlinear patterns, and…

AksjerMaskinlæringStatistikkVolatilitet
ProRealCode

The N Reversal Detector is a configurable chart indicator that combines reversal patterns with an optional trend filter. Users can define the prevailing trend with a fast and slow moving-average comparison, an ATR-based Supertrend, or Donchian Channel highs…

Tekniske indikatorerTrendfølgende handelRisikostyring
SuperMind

This A-share stock screen combines a 14-period RSI below 65 with an external-to-internal trading volume ratio above 1.3 and positive net buying by major participants during the opening auction. The page also gives example implementations and adds filters in…

AksjerKinesiske markederTekniske indikatorerMarkedssentiment
MQL5 code base

Corrected JMA is described as a variation on the Jurik Moving Average. It uses the JMA as a reference for measuring price deviations, then flattens the indicator’s value when those deviations are judged insignificant. This is intended to make directional…

Tekniske indikatorerTrendfølgende handel
BigQuant

This interview discusses how artificial intelligence, large datasets, and cloud computing support one another: AI methods analyze data, while cloud infrastructure supplies scalable storage and computing. It maps the data industry across collection, storage,…

AksjerKinesiske markederMaskinlæringPorteføljekonstruksjon
MQL5 code base

EMAPredictive3 is described as a moving-average indicator built from the exponential moving average algorithm. Its defining construction is a linear interpolation between two EMAs calculated over different periods. The document attributes the indicator to…

Tekniske indikatorerAksjer
SuperMind

This Chinese equities screening idea combines several filters: exclude stocks marked ST, require an amplitude above one, apply a five-session closing-price high condition, and select stocks whose intraday low is down within a narrow four-to-five percent band…

AksjerKinesiske markederTilbakevending mot gjennomsnittetHistorisk testing
SuperMind

This post describes a Chinese equity screen for stocks associated with the metaverse theme, with a close above the previous day’s low and a code beginning with 60. It combines a thematic classification, a simple price condition, and an exchange-listing code…

Kinesiske markederAksjerTekniske indikatorerPosisjonsstørrelse
SuperMind

This post outlines an equity screen requiring MACD above zero, upward divergence among current moving averages, and a positive price-to-earnings ratio. The stated rationale is to combine a bullish technical condition with rising price trends and a basic…

Kinesiske markederAksjerTekniske indikatorerMomentum
SuperMind

This post describes a Chinese equity screen combining a daily high-to-low amplitude threshold, a minimum circulating market capitalization, and a positive weekly MACD histogram. It presents the conditions as a way to focus on larger listed companies with…

Kinesiske markederAksjerTekniske indikatorerMomentum
BigQuant

The report proposes improving traditional liquidity factors for Chinese A-share stock selection by incorporating information about intraday trading structure. It frames the approach as a reusable factor research method: identify market information omitted by…

Kinesiske markederAksjerFaktorinvesteringMarkedsmikrostruktur
Lumibot

This report presents a short backtest of a strategy labeled “momentum-news-generic” against SPY, using Yahoo data. Over the stated period, the strategy had a slightly negative total return, negative annualized return, negative Sharpe and Sortino ratios, and…

AksjerMomentumMarkedssentimentHistorisk testing
vn.py

This guide explains how to construct, monitor, and trade synthetic spreads in the VeighNa SpreadTrading module. A spread can combine several contract legs using a formula, including pricing legs that are not traded, which supports relationships involving…

FuturesRåvarerArbitrasjeParhandel
SuperMind

This Chinese-language strategy post outlines a mainland China equity screen combining capital strength, upward divergence of moving averages, and a profitability filter. The initial title specifies companies with market capitalization below 10 billion yuan…

Kinesiske markederAksjerMomentumTekniske indikatorer
MQL5 code base

The Inverse Distance Weighted Moving Average (IDWMA) is presented as a price-smoothing indicator. Its calculation is described qualitatively: the line initially moves away from the average price, then approaches the price. The document says it is somewhat…

Tekniske indikatorer