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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
Quantpedia
86 dokumenter
TqSdk
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
Quantopian-forelesninger
45 dokumenter
Binance API docs
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

MQL5 code base

This document describes a smoothed correlation indicator intended to distinguish trending price action from ranging or erratic movement. It calculates a bar-to-bar correlation coefficient over a correlation period and then applies smoothing, with both…

Tekniske indikatorerStatistikkTrendfølgende handelTilbakevending mot gjennomsnittet
SuperMind

This stock-screening proposal selects equities whose 5-, 10-, 20-, 30-, and 60-day moving averages converge, with turnover above 2% and below 9%, and a dividend payout ratio above 25% for 2019. The author interprets clustered short- and medium-term averages…

AksjerTekniske indikatorerFaktorinvestering
FMZ forum

This introductory programming note describes several Python mistakes that can make code behave unexpectedly or become harder to maintain. It recommends checking which Python version a program targets, favoring clear code over compressed one-liners, and…

StatistikkOrdreutførelse
vn.py community

This short forum exchange discusses how to handle large orders when building options strategies with the elite_optionstrategy module. A response explains that the module does not provide detailed control over placing and canceling orders. Instead, it…

OpsjonerOrdreutførelseMarkedsmikrostruktur
SuperMind

This overview organizes common machine learning methods in two ways: by their form or function, and by how they learn from data. It surveys regression, instance-based methods, regularization, decision trees, Bayesian methods, clustering, association rules,…

MaskinlæringStatistikk
Cryptohopper blog

The document explains how cryptocurrency traders can use automated triggers to adapt buying behavior to market conditions. Its trend example uses a fast 10-period EMA and a slow 20-period EMA on a daily chart: a bullish signal enables buying, while a bearish…

KryptoTrendfølgende handelTekniske indikatorerRisikostyring
MQL5 code base

The indicator described here creates an index for one of the eight major currencies from a configurable basket of as many as ten components. Users can select currency pairs or other instruments, turn each component on or off, and choose whether to invert the…

ValutahandelTekniske indikatorerPorteføljekonstruksjon
vn.py community

This Chinese research summary examines whether intraday data can support sector rotation signals, focusing on realized skewness and the share of volatility attributable to downside moves. It describes constructing industry level factors inspired by high…

Kinesiske markederAksjerHøyfrekvenshandelVolatilitet
MQL5 code base

This MetaTrader expert advisor combines three moving averages with the Moving Average of Oscillator and Relative Vigor Index indicators. It evaluates signals only when a new bar forms, and exposes a minimum separation setting for the moving averages. The…

ValutahandelTekniske indikatorerRisikostyringPosisjonsstørrelse
SuperMind

The document describes a short-term stock screen combining daily price range, company size, profitability, and a reversal pattern called a bearish-to-bullish “wraparound” or reversal setup. Its proposed criteria include a daily range above one percent,…

AksjerTekniske indikatorerTilbakevending mot gjennomsnittetRisikostyring
BigQuant

A trader reports that a stock-selection strategy using TA-Lib indicators produces different results each time it is run. The response points to an SQL query in one module that lacks an explicit sort order as the likely cause. When rows arrive in an…

Historisk testingStatistikk
MQL5 code base

Paromon is a chart indicator that marks the start of each trading day and displays that day’s high and low prices. Its purpose is to make the daily range visible on a price chart, which can help traders orient intraday price action around the session’s…

Tekniske indikatorer
MQL5 code base

The document briefly describes an indicator built from two Double Exponential Moving Averages applied to averaged high and low price series. Together, these averages form a channel. Candles that move beyond the channel receive a color associated with the…

Tekniske indikatorerTrendfølgende handelKursbrudd
SuperMind

The document presents a Chinese equity screening rule that selects stocks with turnover between 3% and 12%, displayed first-level bid volume greater than ask volume, and reported holder concentration below 20%. The candidates are then ranked by price change,…

AksjerKinesiske markederMarkedsmikrostrukturHistorisk testing
ProRealCode

The document describes a configurable engine that combines up to 11 common indicators into long or short signals. Users can require every enabled indicator to agree or allow any one of them to trigger. The indicators include moving average crossovers, RSI,…

Tekniske indikatorerRisikostyringHistorisk testingTrendfølgende handel
SuperMind

The document presents a method for moderating drawdowns by reducing the capital base used to size trades as portfolio value falls. It first defines maximum drawdown as the largest peak-to-later-trough decline relative to the earlier value. Its adjustment…

RisikostyringPosisjonsstørrelseHistorisk testingAksjer
BigQuant

This article proposes a compact framework for reviewing the equity market by sector rather than inspecting every stock individually. To gauge sector persistence, it counts stocks moving from an initial limit-up session to a second consecutive limit-up…

AksjerMomentumRisikostyringKinesiske markeder
quant-trading

The document outlines a mean-reversion strategy for two assets selected for cointegration. It uses the Engle–Granger two-step approach: regress one price series on the other, test whether the residuals are stationary, then fit an error-correction model and…

ParhandelTilbakevending mot gjennomsnittetStatistikkHistorisk testing
MQL5 code base

The document explains how to create synthetic currency strength instruments in MetaTrader 5. For each currency, it combines readings from several currency pairs, where each reading represents the close price’s position within the recent high-low range. The…

ValutahandelTekniske indikatorerFlere aktivaklasser
BigQuant

This research summary describes a study of retail investor attention and asymmetric volatility in China’s A-share market. The authors use the balance of positive, negative, and neutral posts on online stock message boards to construct a proxy for asymmetry…

AksjerKinesiske markederMarkedssentimentVolatilitet
BigQuant

This user post describes rolling model training for stock forecasts using two approaches. The StockRanker example updates the model annually, fitting on one year of data and predicting over the following year. The XGBoost example instead constructs monthly…

AksjerMaskinlæringHistorisk testing
BigQuant

This Chinese equity research excerpt analyzes the beer industry’s shift from pursuing output scale toward improving profitability through premium products. It separates the outlook into volume and price per ton: production depends on the number of operating…

AksjerKinesiske markederFaktorinvestering
Amberdata research

The primer explains how Curve developed from a stablecoin-focused automated market maker into a broader DeFi ecosystem. It contrasts Curve’s dynamic invariant with constant-product pricing: the curve is flatter when a pool is balanced to reduce slippage,…

KryptoDeFiMarket makingRisikostyring