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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
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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
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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

3,012 dokumenter

MQL5 articles

The article develops an MQL5 chart indicator for finding bullish and bearish Oops gap reversals. It defines a gap as an open beyond the previous bar’s low or high by at least a configurable minimum, then confirms the reversal when a completed bar closes back…

ValutahandelTekniske indikatorerHistorisk testing
MQL5 articles

The article outlines a process for assessing automated trading systems offered in a marketplace. It recommends understanding whether an Expert Advisor acts on ticks, new bars, or a timer, because operating logic affects how it should be tested and how…

Historisk testingOrdreutførelseRisikostyringPorteføljekonstruksjon
MQL5 articles

This article presents a toolkit for assessing whether observed trading returns are distinguishable from chance. It explains why net profit, profit factor, and win rate do not convey uncertainty, and describes one-sample and Welch t-tests, Mann–Whitney U…

StatistikkHistorisk testingVolatilitetRisikostyring
MQL5 articles

The article describes extending a MetaTrader strategy tester EA so it can replay real account deals while applying alternative StopLoss, TakeProfit, and trailing-stop rules. It discusses Parabolic SAR and moving-average trailing approaches, then adapts…

Historisk testingTekniske indikatorerValutahandelRisikostyring
MQL5 articles

The article introduces category theory equalizers as a way to identify input cases where two mappings agree, then applies the idea to forecasting changes in bar range from changes in ATR. It normalizes both series as percentage changes, groups them into…

ValutahandelVolatilitetTekniske indikatorerStatistikk
MQL5 articles

The article introduces the Mask-Attention-Free Transformer (MATF), originally developed for 3D point-cloud segmentation, and describes an interpretation for trading models. MATF addresses slow Transformer training attributed to poor initial object masks by…

MaskinlæringHistorisk testingStatistikkValutahandel
MQL5 articles

The article turns Larry Williams’ Hidden Smash Day idea into explicit rules for an automated strategy. A bullish setup is an up-closing bar whose close lies in the bottom quarter of its own range; a bearish setup is the inverse, with the close in the top…

ValutahandelTilbakevending mot gjennomsnittetTekniske indikatorerRisikostyring
MQL5 articles

This article explains the design of a Volume at Price display for MetaTrader 5, aimed at showing traded volume across price levels. It focuses on implementation and platform performance rather than teaching how to interpret the resulting profile. The…

Tekniske indikatorerMarkedsmikrostrukturOrdreutførelse
MQL5 articles

The article describes a high-throughput way to search for trading rules using tick histories rather than bars and indicators. It uses MetaTrader 5’s strategy tester, custom tick symbols, and a fast Expert Advisor that reacts to each tick. To reduce…

ValutahandelHistorisk testingHøyfrekvenshandelStatistikk
MQL5 articles

This article explains an interpretation of the Artificial Bee Colony (ABC) algorithm, a population-based method inspired by how honey bees search for food sources. Candidate solutions represent locations in a multidimensional search space, and the objective…

StatistikkMaskinlæringPorteføljekonstruksjon
MQL5 articles

This article presents a NumPy-inspired utility class for MQL5, intended to make mathematical and data-processing code easier to translate from Python. It surveys vector and matrix constructors, arithmetic operations, mathematical and statistical functions,…

MaskinlæringStatistikk
MQL5 articles

This article describes the property-aware attention component of an Atom-Motif Contrastive Transformer for forecasting market patterns. It treats candlesticks as atomic observations and larger chart patterns as motifs, then uses contrastive learning to…

MaskinlæringTekniske indikatorerStatistikkHistorisk testing
MQL5 articles

The article explains alternatives to fixed-time bars for representing market data, including volume, range, momentum, volatility-regime, swing-point, acceleration, Renko, and Kagi bars. Each method forms bars according to market activity or price behavior…

MarkedsmikrostrukturStatistikkTekniske indikatorerHistorisk testing
MQL5 articles

The article tests whether forecasting performance differs across 11 EURUSD time frames, using equal-sized samples of historical and future closing prices and a 20-step forecast horizon. It reports that models had lower errors on monthly and hourly data than…

ValutahandelMaskinlæringStatistikkHistorisk testing
MQL5 articles

The article develops Rolling Windows Eigenvector Comparison (RWEC) to monitor whether the portfolio weights of a cointegrated stock basket remain stable. It contrasts RWEC with In-Sample/Out-of-Sample ADF validation, which estimates a cointegration vector on…

ParhandelArbitrasjeStatistikkRisikostyring
MQL5 articles

This programming tutorial explains how MQL5 structures can group related values and how those values can be used in functions. A date-formatting example compares passing individual fields with passing an entire date structure by reference. Individual…

Ordreutførelse
MQL5 articles

This article develops several MQL5 indicators that extract statistics from ZigZag segments: how frequently direction changes, the sums and averages of upward and downward segments, and the percentage balance between those sums. A further indicator compares…

Tekniske indikatorerStatistikkHistorisk testing
MQL5 articles

The article describes an MQL5 expert advisor that manages trades across 30 forex and metal symbols from one chart. Traders can select which pairs to trade, add broker-specific symbol prefixes or suffixes, and restrict activity to a chosen trading session.…

ValutahandelRåvarerTekniske indikatorerFlere aktivaklasser
MQL5 articles

This article builds a Multifractal Model of Asset Returns (MMAR) from previously estimated scaling parameters and compares its volatility forecasts with a GARCH(1,1) model. It creates multifractal trading time with a normalized multiplicative cascade, then…

VolatilitetStatistikkMaskinlæringHistorisk testing
MQL5 articles

The article adapts empirical mode decomposition (EMD) for short-horizon forecasting. EMD splits a time series into intrinsic mode functions and a residual by iteratively finding extrema and interpolating them with splines. The proposed forecast extends the…

StatistikkTekniske indikatorerHistorisk testing
MQL5 articles

The article explains how to launch MetaTrader 5 with a custom configuration file so scripts or Expert Advisors can run automatically. It covers startup settings for the account, symbol, timeframe, and program to run, along with the MQL_STARTED_FROM_CONFIG…

Historisk testingOrdreutførelse
MQL5 articles

The article describes an MQL5 tool that tests whether trade sequence, position size, and market context help predict losses. It encodes each closed deal with eight features and trains a small feed-forward neural network using stochastic gradient descent. A…

MaskinlæringStatistikkRisikostyringPosisjonsstørrelse
MQL5 articles

This article explains a stepwise feature-selection method based on mutual information, designed to identify predictors that relate to a target while avoiding redundant features. For continuous data, it contrasts density estimation with Parzen windows, whose…

MaskinlæringStatistikk
MQL5 articles

This article presents an iterative pattern-search tool for trading, including a finite, modified Fourier-series polynomial as an alternative family of functions for describing price behavior. Its coefficients are generated through several random schemes, and…

ValutahandelMaskinlæringHistorisk testingOrdreutførelse