Перейти до вмісту

Бібліотека знань

Огляди й ключові ідеї книжок, наукових праць, статей і коду, які читають наші ШІ-агенти. Їх підготував дослідницький агент Stratmill. На кожній сторінці є посилання на оригінал.

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

Пошук у бібліотеці

Документів: 3,012

MQL5 articles

The article introduces multi-horizon forecasting and compares three approaches: training a separate model for each forecast step, iteratively feeding predictions from a single model back into itself, and predicting several horizons together with a…

Валютний ринокМашинне навчанняСтатистикаБектестування
MQL5 articles

The article presents a discretionary trend-following framework and an MQL5 Expert Advisor intended to keep trades aligned with the prevailing trend. Its analysis starts on monthly charts, marks reaction levels around prior highs and lows, then checks weekly…

Слідування за трендомТехнічні індикаториУправління ризикамиРозмір позиції
MQL5 articles

This article extends an MQL5 library so standard indicators with multiple output lines can be calculated and displayed on a chart for a different symbol or timeframe. Its central design change is to identify each buffer by indicator type, instance…

Технічні індикаториМультиактивна торгівля
MQL5 articles

The Comet Tail Algorithm is a population-based optimization method inspired by comets and their tails. Candidate solutions are treated as comet nuclei, while clouds of particles sample nearby regions. The best solution acts as the sun: tail size and…

Машинне навчанняСтатистика
MQL5 articles

This article describes adding a forex calculator to an MQL5 trade management panel. It outlines calculations for position size from balance, risk percentage, stop distance, and pip value; monetary risk; pip value conversions; margin requirements; profit and…

Валютний ринокУправління ризикамиРозмір позиції
MQL5 articles

This tutorial refreshes the structure and implementation of decision trees for classification and regression. It explains internal decision nodes, leaf predictions, feature thresholds, and recursive tree construction, then contrasts CART, ID3, and C4.5. The…

Машинне навчанняСтатистика
MQL5 articles

This article describes Artificial Ecosystem-based Optimization (AEO), a population-based search method inspired by production, consumption, and decomposition in ecosystems. It represents candidate solutions as organisms with different roles. In the…

СтатистикаМашинне навчанняБектестування
MQL5 articles

This article presents a method for comparing several trading systems through virtual trades, then allocating live trading to systems whose recent results meet a rating threshold. Each system receives a score based on its profit over a rolling window of…

Валютний ринокБектестуванняРозмір позиціїУправління ризиками
MQL5 articles

This article explains Node-Adaptive Feature Smoothing (NAFS), a graph representation method that combines node features with information from neighborhoods at multiple smoothing scales. Rather than applying the same amount of smoothing to every node, it…

Машинне навчанняСтатистикаБектестування
MQL5 articles

In this interview, a participant in the Automated Trading Championship describes how he approaches building currency trading robots. He favors programming strategies because discretionary trading makes it difficult for him to stick to a plan, and says that…

Валютний ринокБектестуванняРозмір позиціїУправління ризиками
MQL5 articles

This article develops an MQL5 Expert Advisor that summarizes a rolling sample of typical prices, defined from each bar's high, low, and close. It describes central tendency measures such as mean, median, and mode; dispersion measures including standard…

СтатистикаПовернення до середньогоТехнічні індикаториУправління ризиками
MQL5 articles

This article describes how the ZUP indicator identifies Pesavento-style patterns from the ratios between successive ZigZag swings. It calculates a retracement, compares it with a selected set of Fibonacci ratios, and displays a recognized level when the…

Технічні індикаториВалютний ринокПробій рівня
MQL5 articles

The article presents CCMR, a coarse-to-fine optical-flow method adapted from computer vision, and describes an MQL5 implementation for analyzing financial data. The model extracts image and context features at several resolutions, computes global context…

Машинне навчанняСтатистикаБектестування
MQL5 articles

This tutorial explains how an MQL5 Expert Advisor can read built-in technical indicators, using a moving average as its main example. It recommends creating an indicator handle during initialization when its settings are stable, copying values from the…

Технічні індикаториВиконання ордерівУправління ризиками
MQL5 articles

The article explains one-cancels-the-other orders as a pair of pending orders linked so that triggering either should remove the other. It describes an object-oriented MQL5 design that stores the two order tickets and assigns each pair an identifier. A…

Валютний ринокВиконання ордерівУправління ризиками
MQL5 articles

This article describes setting up the visual foundation of a trading dashboard in MetaTrader 5 using the MQL5 Controls library. It builds the panel as an expert advisor and explains how to include the button control library, create chart objects, and arrange…

Виконання ордерів
MQL5 articles

The article introduces unsupervised clustering and implements k-means in MQL5. It walks through selecting initial centroids, measuring each observation's distance to each centroid, assigning observations to the nearest cluster, grouping observations, and…

Машинне навчанняСтатистика
MQL5 articles

The article explains assertions as checks for assumptions that should always hold during normal program execution. In MQL5, a macro can test a condition and report its expression, source file, function, line number, and an optional message. A soft version…

Статистика
MQL5 articles

This article evaluates a trading robot that combines a discrete Fourier transform with a leaky integrate-and-fire spiking neural network. The Fourier component identifies the strongest frequency in a rolling window and maps its phase to a directional score;…

Валютний ринокМашинне навчанняТехнічні індикаториБектестування
MQL5 articles

This article categorizes common Expert Advisor failures as syntax, logical, algorithmic, critical, or trading errors. It describes basic debugging practices, including compiler diagnostics, isolating code blocks, logging variable values, and checking error…

Виконання ордерівУправління ризиками
MQL5 articles

This article presents an MQL5 indicator for building a volume profile over a chart range selected interactively. A user activates the tool, right-clicks and drags a crosshair to define the time span, and releases the mouse to calculate and render price bins.…

Технічні індикаториМікроструктура ринкуСтатистика
MQL5 articles

This article describes completing an MQL5 risk-management class, with emphasis on adjusting per-trade risk as account balance moves through configured thresholds. It gives an example in which risk is reduced at progressively deeper drawdown levels, and…

Управління ризикамиРозмір позиції
MQL5 articles

This article explains a teaching example that uses chart mouse and keyboard events to place pending orders or open market positions from an MQL5 Expert Advisor. A class tracks mouse position and button state, displays the cursor price with a horizontal line,…

Виконання ордерівУправління ризиками
MQL5 articles

The article offers a practitioner’s approach to developing trading systems, selecting commercial signals and Expert Advisors, and interpreting indicators. Its central development advice is to start with simple prototypes, test across multiple currency pairs,…

Валютний ринокБектестуванняУправління ризикамиВиконання ордерів