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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 outlines a proposed trading system that combines a quantum-circuit state encoder, a deep Q-network, language-model analysis, and a self-adaptation mechanism. It motivates the design with familiar reinforcement-learning difficulties in markets:…

MaskinlæringValutahandelTekniske indikatorerRisikostyring
MQL5 articles

The article describes an MQL5 graphical interface for reviewing Expert Advisor optimization results. It presents a sortable table of top-performing passes, stores summary statistics alongside total and per-symbol balance data and drawdown series, then lets a…

Historisk testingPorteføljekonstruksjonRisikostyringStatistikk
MQL5 articles

The article proposes measuring whether candles opening at the same time of day repeatedly move in the same direction, and whether changes in that pattern coincide with shifts in trend. Its MQL4 script groups candles by opening hour and minute over a selected…

ValutahandelStatistikkTekniske indikatorerTrendfølgende handel
MQL5 articles

This article introduces spans, experiments, and compositions from category theory, then uses them as a framework for describing a trailing-stop experiment. It records the floating profit of a long position alongside moving-average and average-true-range…

ValutahandelVolatilitetRisikostyring
MQL5 articles

This article presents a configurable MQL5 module for classifying price geometry inside the lower-timeframe bars that make up a higher-timeframe liquidity-zone base. It describes identifying swing highs and lows, then using their relative levels and slopes to…

Tekniske indikatorerKursbruddStatistikk
MQL5 articles

This article describes how to make Expert Advisors generated by the MetaTrader 5 Wizard usable in MetaTrader 4. Its approach is to adapt missing MQL5 Standard Library trade classes and emulate the relevant MQL5 trading interface on top of the older…

OrdreutførelseMarkedsmikrostruktur
MQL5 articles

This article explains how to add adaptive resizing and maximization to MQL5 dialog windows used to display multidimensional OLAP results. It extends horizontal and vertical layout containers so they recalculate their sizes, including nested containers, then…

Flere aktivaklasser
MQL5 articles

The article describes an MQL5 script for preparing MetaTrader 5 historical quotes for use in external analysis software. Its worked example targets two versions of NeuroShell DayTrader Professional, which expect different CSV headers and date-time layouts.…

ValutahandelRåvarerOrdreutførelseStatistikk
MQL5 articles

The article shows how a Python TCP socket server can exchange messages with clients while being launched from Excel through xlwings. Its key implementation point is that threads for individual client handlers do not remove the blocking behavior of the…

OrdreutførelseMarkedsmikrostruktur
MQL5 articles

The article introduces simple exponential smoothing and related Holt and Brown models as methods for short-term extrapolation of time series. It explains the central assumption that past and present behavior can inform near-term forecasts, while emphasizing…

StatistikkValutahandelRåvarerTekniske indikatorer
MQL5 articles

The article explains the Arithmetic Optimization Algorithm (AOA), a population-based metaheuristic that updates candidate solutions using division, multiplication, subtraction, and addition. It initializes candidates within bounded ranges, then uses…

StatistikkMaskinlæringHistorisk testing
MQL5 articles

The article introduces the discrete Hartley transform (DHT) as a real-valued method for moving a discrete signal between time and frequency representations. It applies DHT to price series, where individual harmonics can be removed, attenuated, selected by…

Tekniske indikatorerStatistikkValutahandel
MQL5 articles

The article describes the Backtracking Search Algorithm, an evolutionary method for real-valued optimization that uses both a current population and a historical population. Its mutation step moves candidates according to the difference between current and…

MaskinlæringStatistikkHistorisk testing
MQL5 articles

This article introduces neural network optimization as the process of updating model weights to reduce prediction loss. It compares stochastic gradient descent, which updates from individual examples, batch gradient descent, which uses the full dataset, and…

MaskinlæringStatistikk
MQL5 articles

The article explains OPPO, an offline reinforcement learning approach that learns a policy directly from comparisons between trajectories. It contrasts this with the common two-stage method of first fitting a scalar reward model and then training a policy…

MaskinlæringValutahandelHistorisk testingRisikostyring
MQL5 articles

This article explains how to test whether two variables are independent using Pearson’s chi-square test on a grouped contingency table. For continuous data, observations are binned, actual cell counts are compared with counts expected under independence, and…

StatistikkAksjerValutahandel
MQL5 articles

This article proposes embedding risk controls throughout a liquidity-zone trading system rather than treating them as an afterthought. Its framework filters zones using impulse, base structure, higher-timeframe context, zone height, and volatility relative…

RisikostyringPosisjonsstørrelseValutahandelOrdreutførelse
MQL5 articles

This article describes an Expert Advisor that classifies daily market conditions as flat, uptrend, or downtrend by comparing price changes with the Average True Range. It counts historical transitions among these states to estimate a 3-by-3 Markov transition…

MaskinlæringStatistikkTekniske indikatorerRisikostyring
MQL5 articles

This article introduces how floating-point values are represented in memory and why decimal numbers used in MQL5 calculations may not be stored exactly as written. It places the discussion in the context of the IEEE 754 standard and explains that…

StatistikkRisikostyring
MQL5 articles

This article outlines a social decision support system in which a MetaTrader 5 Expert Advisor sends trading signals to a web application, which stores them and publishes them on Twitter. The proposed workflow leaves a person to review algorithmic signals…

ValutahandelMarkedssentimentOrdreutførelse
MQL5 articles

This article explains how to adapt an MQL5 Expert Advisor to an auto optimizer by exporting its trading history and parameters. A report writer appends deal data and summary statistics to a file in the terminal’s shared files area, including profit, trade…

Historisk testingStatistikkRisikostyring
MQL5 articles

This installment explains how to update a cointegrated stock portfolio’s weights while an Expert Advisor is running. It uses a database as the interface between Python analysis and MQL5 trading: a strategy table stores basket symbols, weights, and timeframe,…

AksjerParhandelTilbakevending mot gjennomsnittetStatistikk
MQL5 articles

The article presents Across Neighborhood Search (ANS), a population-based metaheuristic for numerical optimization. Agents explore around both a shared collection of strong solutions and their own best solutions, using Gaussian-distributed perturbations to…

MaskinlæringStatistikk
MQL5 articles

The article describes using MQL5 order magic numbers as identifiers that let multiple Expert Advisors distinguish trades on the same instrument. Rather than assigning an arbitrary small integer, it proposes encoding structured information such as an EA…

OrdreutførelseTekniske indikatorer