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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
TqSdk
Dokumentu skaits: 86
Quantpedia
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
Binance API docs
Dokumentu skaits: 45
Quantopian lekcijas
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

This installment of a market replay series refactors tick-to-bar construction so the same one-minute bar-building logic can serve both data loading and replay playback. The shared routine reports when a new bar begins and updates price and volume fields,…

Valūtu tirgusVēsturisko datu pārbaudeTirgus mikrostruktūra
MQL5 articles

The article explains how an MQL5 indicator can organize tick activity into price-level footprints within each bar. It describes two display modes: bid versus ask volume at each level, and delta alongside total volume. Tick prices are grouped into…

Tirgus mikrostruktūraTehniskie indikatoriRīkojumu izpilde
MQL5 articles

The article introduces Gaussian processes as a statistical forecasting framework that predicts a distribution, including a mean and uncertainty, rather than only a point estimate. It focuses on the radial basis function kernel, which measures similarity…

StatistikaTehniskie indikatoriMašīnmācīšanāsValūtu tirgus
MQL5 articles

The article surveys several price-movement models for Forex, beginning with random trade direction as a baseline. It discusses how spread can undermine frequent position changes, then considers fixed holding periods and stop orders. It also describes…

Valūtu tirgusStatistikaTehniskie indikatoriSekošana tendencei
MQL5 articles

This interview describes an automated EURUSD strategy built around pending orders placed near current price. The Expert Advisor uses a ZigZag-based breakout approach on a 15-minute chart, with no other indicators. Its creator says it performs best in clear…

Valūtu tirgusCenas izrāviensSekošana tendenceiTehniskie indikatori
MQL5 articles

The article explains Adam-mini, an Adam optimizer variant designed to reduce the memory used for per-parameter second-moment estimates. It groups model parameters into blocks and tracks a moving average of squared gradients for each block, using the block…

MašīnmācīšanāsStatistika
MQL5 articles

The article outlines a reproducible pipeline that uses MetaTrader 5 as a test-result generator and Python for comparison and reporting. It defines a structured CSV schema carrying the test phase, instrument, timeframe, indicator and parameters, performance…

Vēsturisko datu pārbaudeStatistikaRiska pārvaldībaValūtu tirgus
MQL5 articles

This installment in a market simulation series introduces SQL behavior relevant to working with SQLite through MetaTrader 5 and MQL5. It explains that MetaEditor can execute many SQL statements, including commands that remove tables, while blocking the…

StatistikaRīkojumu izpilde
MQL5 articles

The article explains the True Strength Index (TSI), a momentum oscillator developed by William Blau, and outlines how to calculate it as a custom MQL5 indicator. It smooths price changes and absolute price changes with two successive exponential moving…

Tehniskie indikatoriCenas impulssValūtu tirgus
MQL5 articles

The article describes Elite Crystal Evolution, a population-based method adapted from the Crystal Energy Optimizer for continuous search. It ranks candidate solutions by fitness, treating the top ten crystals in a population of fifty as elites. Elites refine…

StatistikaMašīnmācīšanās
MQL5 articles

This article develops Symbolic Fourier Approximation (SFA), a way to encode normalized price windows as short symbolic words for similarity search. It replaces SAX’s piecewise-average representation with selected low-frequency Fourier coefficients, then…

MašīnmācīšanāsStatistikaVēsturisko datu pārbaudeTehniskie indikatori
MQL5 articles

This article extends a trading-platform library by creating concrete indicator objects from an abstract base class and collecting them in a searchable, sortable list. Each object stores properties such as indicator type, timeframe, handle, group, symbol, and…

Tehniskie indikatoriVairāku aktīvu tirdzniecība
MQL5 articles

This installment improves an automated workflow for turning strategy optimizations into a multi-currency expert advisor. The pipeline first optimizes one strategy across symbols and timeframes, selects promising individual instances, then searches for groups…

Vairāku aktīvu tirdzniecībaVēsturisko datu pārbaudePortfeļa veidošanaRiska pārvaldība
MQL5 articles

This article completes an MQL5 Gaussian process library by describing interfaces for covariance kernels, likelihoods, and inference. It details RBF, linear, and periodic kernels, including their hyperparameters and covariance derivatives, then applies the…

MašīnmācīšanāsStatistikaValūtu tirgusVēsturisko datu pārbaude
MQL5 articles

The article presents Approximate Entropy (ApEn) as a measure of recurring structure in rolling sequences of closed-bar log returns. It explains how the calculation embeds returns into short pattern vectors, counts similar patterns using Chebyshev distance…

StatistikaTehniskie indikatoriMašīnmācīšanāsVēsturisko datu pārbaude
MQL5 articles

This article explores automating the selection of optimized strategy instances for a multi-currency Expert Advisor. It first prepares optimization data, removes loss-making results, and ranks candidates with a weighted score built from scaled performance…

Valūtu tirgusPortfeļa veidošanaPozīcijas apjoma noteikšanaVēsturisko datu pārbaude
MQL5 articles

The article describes an MQL5 Expert Advisor that acts on two trend lines a trader draws and names on a chart. The user selects a timeframe, position size, and trading mode. The EA extends the lines to the right, compares recent closed-candle prices with the…

Valūtu tirgusTehniskie indikatoriCenas izrāviensRīkojumu izpilde
MQL5 articles

This installment refactors an MQL5 market replay and simulation service by splitting a large replay class into smaller connected classes. It describes a file-reading class, private inheritance for implementation details, and a replay class that exposes a…

Vēsturisko datu pārbaudeRīkojumu izpildeTirgus mikrostruktūra
MQL5 articles

This introductory article explains MQL5 program types, event-driven functions, data types, compilation, and debugging through examples of an expert advisor and a custom indicator. Its trading example places buy-stop and sell-stop orders just outside the…

Valūtu tirgusCenas izrāviensTehniskie indikatoriRīkojumu izpilde
MQL5 articles

The article explains the one-parameter Box-Cox transformation as a way to make a data series’ distribution more compatible with statistical methods that assume normality. The parameter controls a power transformation, with the logarithm as a special case.…

StatistikaValūtu tirgus
MQL5 articles

This article describes a hands-free trading interface intended to help traders with motor impairments operate MQL5 tools. A webcam feed is processed with MediaPipe Hands and OpenCV; recognized gestures are passed from Python to an MQL5 expert advisor through…

Rīkojumu izpildeRiska pārvaldība
MQL5 articles

This article describes connecting MetaTrader 5’s standard signal classes to the CStrategy trading engine so that strategies can reuse existing indicator-based patterns. It surveys the library’s class structure, including signal modules, indicators, price…

Tehniskie indikatoriRīkojumu izpildeValūtu tirgusMašīnmācīšanās
MQL5 articles

This article introduces support vector machines as supervised models for classification and explains how their decision boundary is chosen. It describes hyperplanes, support vectors, and the maximum-margin objective, then distinguishes a linear model’s…

MašīnmācīšanāsStatistikaValūtu tirgusVēsturisko datu pārbaude
MQL5 articles

The article explains how to identify and trade bullish and bearish Five-Drive harmonic formations in MQL5. The pattern is defined by six alternating swing points, with its legs checked against stated Fibonacci retracement and extension relationships. The…

Valūtu tirgusTehniskie indikatoriAtgriešanās pie vidējās vērtībasRiska pārvaldība