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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
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
WonderTrader
14 dokumenter
Alphalens
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 builds a binary logistic regression classifier in native MQL5 using a sigmoid probability, binary cross-entropy, and stochastic gradient descent. Its example predicts whether the next bar will close higher, using five features derived from…

MaskinlæringValutahandelTekniske indikatorerHistorisk testing
MQL5 articles

The article evaluates transfer learning for a neural model trained to detect price fractals. It compares a model initialized with random weights against models that reuse the encoders of previously trained variational autoencoders, including fully connected…

MaskinlæringHistorisk testingValutahandel
MQL5 articles

This article presents a MetaTrader diagnostic for comparing live execution with backtest assumptions. It measures quoted spread, fill deviation, latency, and selected order return codes. A manual probe mode submits a round-trip trade and compares each fill…

ValutahandelMarkedsmikrostrukturOrdreutførelseStatistikk
MQL5 articles

This article describes a price-action signal tool that builds slanted support and resistance lines from validated swing highs or lows. It requires three swing interactions to establish that a line has structural relevance, then signals a bullish or bearish…

ValutahandelRåvarerKursbruddTekniske indikatorer
MQL5 articles

The article explains structural breaks as unexpected changes in regression relationships that can undermine a pairs or basket strategy. It distinguishes gradual relationship decay, which rolling-window eigenvector comparison and in-sample/out-of-sample ADF…

AksjerParhandelArbitrasjeStatistikk
MQL5 articles

The article explains the Kalman filter as a recursive estimator that alternates between predicting a time-series state and updating that estimate with new observations. It describes how process and measurement variance affect responsiveness and smoothness,…

ValutahandelTilbakevending mot gjennomsnittetStatistikkTekniske indikatorer
MQL5 articles

This article presents a breakout system that combines recent support and resistance levels with a surge in trading volume. A signal requires price to close beyond a recent boundary while volume exceeds its historical average by a stated threshold. The…

KursbruddTekniske indikatorerMaskinlæringRisikostyring
MQL5 articles

The article develops an approach for selecting RSI periods and signal levels instead of relying on standard settings such as 70 and 30. It builds on an earlier method that centers signals on the indicator’s observed range and scales deviations by their…

Tekniske indikatorerStatistikkHistorisk testingValutahandel
MQL5 articles

This article describes a rule-based indicator that estimates a possible next price swing from recent market structure. It identifies candidate swing highs and lows using a configurable lookback and confirmation from the following candle, then searches for…

Tekniske indikatorerStatistikkVolatilitetRisikostyring
MQL5 articles

The article adapts the mathematical Butterfly Curve into a technical oscillator and outlines an automated strategy built around it. Its oscillator uses the curve’s x-component, advances its parameter with bar progression, and allows the step size to control…

Tekniske indikatorerMomentumTrendfølgende handel
MQL5 articles

This tutorial introduces chart objects through the example of a candle counter and explains how an MQL5 indicator can detect when a new bar appears. It compares checking bar-time data with using the integer values supplied to the calculation handler, such as…

Tekniske indikatorerOrdreutførelse
MQL5 articles

This article introduces triangular arbitrage using three related currency pairs. It derives the no-arbitrage relationship among EUR/USD, GBP/USD, and EUR/GBP, then compares executable bid and ask prices to identify when one route through the triangle is…

ValutahandelArbitrasjeOrdreutførelseMarkedsmikrostruktur
MQL5 articles

This article explains the Volume-Weighted Moving Average (VWMA) and describes an MQL5 signal tool that compares a faster VWMA with a slower one. VWMA weights each candle’s closing price by its trading volume, then divides the weighted sum by total volume…

Tekniske indikatorerMomentumHistorisk testing
MQL5 articles

This article describes reusable MQL5 helpers for managing open positions with trailing stops and break-even stops. It explains the difference between a trailing distance, which sets how far a stop follows price, and a trailing step, which sets how much price…

RisikostyringOrdreutførelseTekniske indikatorer
MQL5 articles

The article demonstrates a workflow for exploring tick-level strategies in MetaTrader 5. It proposes tracking changes between consecutive prices, estimating their standard deviation over a configurable tick window, and marking unusually large moves for…

HøyfrekvenshandelTekniske indikatorerTilbakevending mot gjennomsnittetHistorisk testing
MQL5 articles

The article introduces quantum computing concepts such as superposition and entanglement, then presents a prototype that encodes market data into a circuit, measures repeated outcomes, and maps the resulting bit patterns to a bounded price-direction…

MaskinlæringStatistikkValutahandelTekniske indikatorer
MQL5 articles

This article describes an MQL5 architecture that turns automatically qualified supply and demand zones into candidate trade requests through a sequence of independent checks. The strategy layer considers zone qualification and interaction, how price…

Tekniske indikatorerOrdreutførelseRisikostyringKursbrudd
MQL5 articles

The article explains dynamic mode decomposition (DMD), a data-driven method that estimates a system’s evolving patterns from sequential snapshots. It describes forming paired data matrices, using singular value decomposition to reduce the problem, and…

StatistikkMaskinlæringHistorisk testing
MQL5 articles

The article combines TRIX trend signals and Williams %R oscillator signals in a convolutional neural network intended to filter trades. It explains Python calculations for both indicators, then describes a one-dimensional convolutional architecture whose…

ValutahandelTekniske indikatorerMaskinlæringHistorisk testing
MQL5 articles

This article walks through a workflow for preparing MetaTrader 5 historical data in Python, creating a next-period direction label, fitting a Random Forest classifier, and evaluating predictions with precision and a rolling time-series backtest. It then…

MaskinlæringHistorisk testingStatistikkOrdreutførelse
MQL5 articles

The article describes a Python and MetaTrader 5 workflow that retrieves minute bars directly from the terminal, stores history in Parquet, engineers technical and statistical features, trains a classifier, and serves predictions to an MQL5 Expert Advisor…

MaskinlæringTekniske indikatorerOrdreutførelseHistorisk testing
MQL5 articles

This article presents a coding method for Expert Advisors whose trading rules are symmetric between long and short positions. It represents direction numerically as +1 or −1, then uses that value in arithmetic expressions and shared order logic. Examples…

Tekniske indikatorerOrdreutførelse
MQL5 articles

The article explains the design and initialization of GinAR’s Interpolation Attention layer, a component in a graph-based model for forecasting multivariate time series. The framework is presented as a way to represent dependencies among variables with a…

MaskinlæringStatistikk