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Zināšanu bibliotēka

Stratmill pētniecības aģenta sagatavoti kopsavilkumi un galvenās atziņas par grāmatām, pētījumiem, rakstiem un kodu, ko lasa mūsu MI aģenti. Katrā lapā ir saite uz oriģinālu.

Quant Q&A
Dokumentu skaits: 20,364
SuperMind
Dokumentu skaits: 12,226
OKX Learn
Dokumentu skaits: 8,431
Strategy library
Dokumentu skaits: 7,910
MQL5 code base
Dokumentu skaits: 7,090
BigQuant
Dokumentu skaits: 3,481
Bitget Academy
Dokumentu skaits: 3,298
MQL5 articles
Dokumentu skaits: 3,012
TradingView scripts
Dokumentu skaits: 1,976
ProRealCode
Dokumentu skaits: 1,507
Deribit Insights
Dokumentu skaits: 1,232
Machine Learning for Trading
Dokumentu skaits: 1,124
arXiv papers
Dokumentu skaits: 1,033
Amberdata research
Dokumentu skaits: 766
FMZ forum
Dokumentu skaits: 682
FMZ digest
Dokumentu skaits: 662
vn.py community
Dokumentu skaits: 560
QuantInsti blog
Dokumentu skaits: 511
Galaxy Research
Dokumentu skaits: 340
QuantStart
Dokumentu skaits: 246
Stratmill research code
Dokumentu skaits: 219
Robot Wealth
Dokumentu skaits: 195
NautilusTrader
Dokumentu skaits: 191
Hummingbot docs
Dokumentu skaits: 181
Paradigm research
Dokumentu skaits: 175
Lumibot
Dokumentu skaits: 164
Kraken Learn
Dokumentu skaits: 163
Kvantitatīvās tirdzniecības kursu bibliotēka
Dokumentu skaits: 157
OctoBot
Dokumentu skaits: 152
Cryptohopper blog
Dokumentu skaits: 144
Systematic trading blog (Rob Carver)
Dokumentu skaits: 132
Qlib
Dokumentu skaits: 116
Quantpedia
Dokumentu skaits: 86
TqSdk
Dokumentu skaits: 86
Hyperliquid docs
Dokumentu skaits: 79
Freqtrade
Dokumentu skaits: 68
Hudson & Thames
Dokumentu skaits: 62
Awesome Systematic Trading
Dokumentu skaits: 61
backtrader
Dokumentu skaits: 54
vn.py
Dokumentu skaits: 50
Quantopian lekcijas
Dokumentu skaits: 45
Binance API docs
Dokumentu skaits: 45
FMZ guides
Dokumentu skaits: 38
pysystemtrade
Dokumentu skaits: 34
Freqtrade docs
Dokumentu skaits: 32
quant-trading
Dokumentu skaits: 31
FinRL
Dokumentu skaits: 28
Zipline
Dokumentu skaits: 22
FMZ live strategies
Dokumentu skaits: 21
Jesse
Dokumentu skaits: 17
pyfolio
Dokumentu skaits: 16
Alphalens
Dokumentu skaits: 14
WonderTrader
Dokumentu skaits: 14
backtesting.py
Dokumentu skaits: 11
Technical Analysis
Dokumentu skaits: 9
QTPyLib
Dokumentu skaits: 8
QuantRocket
Dokumentu skaits: 7
Lumibot strategies
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 3,012

MQL5 articles

The article presents an architecture for sending live MetaTrader 5 feature vectors to a Python model service. Since MQL5 does not natively support gRPC’s HTTP/2 transport, the design uses a hand-written Protocol Buffers encoder and length-prefixed TCP…

MašīnmācīšanāsRīkojumu izpildeVēsturisko datu pārbaude
MQL5 articles

In this 2011 interview, Sergey Nikitin describes the Expert Advisor that was leading the Automated Trading Championship during its second week. It traded EURUSD and EURJPY, used daily charts to determine trend, and relied on trend-watching indicators.…

Valūtu tirgusSekošana tendenceiPozīcijas apjoma noteikšanaRiska pārvaldība
MQL5 articles

This article builds an MQL5 library for the Matrix Profile, a time-series method that measures each fixed-length window against its nearest non-overlapping neighbor. Low distances identify recurring shapes called motifs; high distances identify unusual…

StatistikaTehniskie indikatoriMašīnmācīšanāsVēsturisko datu pārbaude
MQL5 articles

This article describes a MetaTrader 5 cross-order system for analyzing continuous historical futures data while placing orders in the currently valid contract. It focuses on Brazilian mini-dollar and mini-index futures, explaining their symbol prefixes,…

Nākotnes līgumiRīkojumu izpildeRiska pārvaldība
MQL5 articles

This article develops an MQL5 library for describing candle types and patterns, configuring their recognition parameters, and returning statistics from historical analysis. Its class structure stores candle features, trend state, pattern counts, occurrence…

Tehniskie indikatoriStatistikaVēsturisko datu pārbaudeRīkojumu izpilde
MQL5 articles

This article shows how to replace hand-written candlestick rules with TA-Lib pattern functions in a Python service connected to a MetaTrader 5 Expert Advisor. The EA sends recent OHLC data to a Flask endpoint; Python builds a time-indexed DataFrame,…

Tehniskie indikatoriValūtu tirgusRīkojumu izpilde
MQL5 articles

This article explains Segment, Shuffle, Stitch (S3), a learnable module for changing how time-series history is organized before a neural model processes it. S3 divides a sequence into non-overlapping segments, learns priorities that determine their new…

MašīnmācīšanāsStatistika
MQL5 articles

This article explains why maximum drawdown alone gives an incomplete picture of strategy risk: two equity curves with the same peak-to-trough loss can differ greatly in how often they decline, how long they remain underwater, and how quickly they recover. It…

Riska pārvaldībaStatistikaVēsturisko datu pārbaude
MQL5 articles

This article presents a channel-breakout entry method intended to capture a change in trend. Channels can slope upward, slope downward, or move sideways, and may be drawn using several channel techniques. The proposed signal occurs when a candle closes…

Cenas izrāviensValūtu tirgusTehniskie indikatoriVēsturisko datu pārbaude
MQL5 articles

This article describes a MetaTrader 5 expert advisor that can trade multiple forex and metal pairs from one chart, with an option to run on a single pair. Its signal design combines ZigZag swing structure with the Awesome Oscillator (AO), allowing several…

Valūtu tirgusIzejvielasVairāku aktīvu tirdzniecībaTehniskie indikatori
MQL5 articles

The article applies supervised learning to three Parabolic SAR and Relative Vigor Index signal patterns that previously failed forward-walk tests. It describes implementing the indicators in Python, connecting to MetaTrader price data, and training a neural…

MašīnmācīšanāsTehniskie indikatoriValūtu tirgusVēsturisko datu pārbaude
MQL5 articles

This technical article explains how ZIP archives store files and describes MQL5 classes for creating, loading, downloading, and extracting archives. It outlines the local file header, file data, central directory, and end record, and explains how filenames…

Rīkojumu izpildeTirgus mikrostruktūra
MQL5 articles

The article introduces linear and Matérn covariance kernels for Gaussian Process Regression (GPR) and discusses their potential use with financial time series. A linear kernel represents simple linear relationships and is computationally light, making it a…

MašīnmācīšanāsStatistikaSvārstīgumsAkcijas
MQL5 articles

The article explains Beetle Swarm Optimization (BSO), a population-based optimizer that combines Particle Swarm Optimization (PSO) with Beetle Antennae Search (BAS). Each beetle probes objective values on either side of its position, then combines that local…

StatistikaMašīnmācīšanāsVēsturisko datu pārbaude
MQL5 articles

The article introduces Markov chains as probabilistic models for transitions among defined states. It explains the transition matrix and the memoryless assumption: the next state depends on the current state and elapsed time, rather than the full path taken…

StatistikaMašīnmācīšanāsValūtu tirgusVēsturisko datu pārbaude
MQL5 articles

This installment explains logging handlers as components that receive records from a logger and route them to destinations such as a console, file, or database. It outlines a handler base class with a name, a severity threshold, and common operations for…

Rīkojumu izpildeRiska pārvaldība
MQL5 articles

The document explains how to use BotBrains, a block-based editor for creating MetaTrader trading robots without writing code. It surveys the editor’s logic, interface, and code modes, and describes blocks for indicators, orders, chart and market-depth data,…

Tehniskie indikatoriSekošana tendenceiRīkojumu izpilde
MQL5 articles

The article explores ways to combine the Fractal Adaptive Moving Average (FrAMA) with the Force Index in an MQL5 trading system. FrAMA is used to describe trend direction or slope, while the Force Index contributes volume-weighted momentum information. The…

Valūtu tirgusTehniskie indikatoriCenas impulssSekošana tendencei
MQL5 articles

The document explains how to use MQL5’s Graphics library to create charts within MetaTrader, including curves from arrays, coordinate pairs, point objects, or functions. It walks through creating a graph, adding and plotting curves, updating the display, and…

StatistikaTehniskie indikatori
MQL5 articles

The document describes an MQL5 framework for managing related open positions as a single basket. Positions are grouped by an identifier in their comments, then scanned to calculate leg count, long and short volume, aggregate floating profit and loss, and…

Riska pārvaldībaPozīcijas apjoma noteikšanaRīkojumu izpildeVairāku aktīvu tirdzniecība
MQL5 articles

This article explains a workflow for deploying a trained Torch time-series forecasting model in a MetaTrader 5 Expert Advisor using ONNX. It covers switching the model into inference mode, collecting and naming its inputs and outputs, exporting it, then…

MašīnmācīšanāsVēsturisko datu pārbaudeValūtu tirgus
MQL5 articles

The article builds a simple automated crossover system and uses it as a baseline for testing simple, adaptive, double exponential, triple exponential, and fractal adaptive moving averages. The signal rule buys when a completed closing price crosses above its…

Tehniskie indikatoriVēsturisko datu pārbaudeSekošana tendencei