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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
WonderTrader
Dokumentu skaits: 14
Alphalens
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 article explains how to build an MQL5 Expert Advisor to identify and trade the 5-0 harmonic pattern. It describes the six turning points and the bullish and bearish structures, then uses swing highs and lows to assemble candidate legs. Fibonacci…

Tehniskie indikatoriCenas izrāviensRīkojumu izpildeVēsturisko datu pārbaude
MQL5 articles

GoertzelBrain combines Goertzel frequency analysis with an ensemble of online-trained neural networks to turn detected cycle structure into a directional confirmation signal. It extracts cycle period, amplitude, spectral confidence and their changes,…

MašīnmācīšanāsTehniskie indikatoriValūtu tirgus
MQL5 articles

This article adapts Directional Diffusion Models, originally developed for graph representation learning, to financial market data. Standard diffusion adds isotropic Gaussian noise, which can erase structure quickly in anisotropic data. The proposed method…

MašīnmācīšanāsStatistikaVēsturisko datu pārbaude
MQL5 articles

The document presents a workflow for labeling financial time-series data by trend. It retrieves bars from a MetaTrader 5 terminal with Python, converts the returned data into a pandas DataFrame, converts timestamps, and selects the close-price series for…

MašīnmācīšanāsStatistikaVēsturisko datu pārbaudeTehniskie indikatori
MQL5 articles

The document formalizes a weekend-gap setup using Friday’s close and Monday’s open as the gap boundaries. For a gap down, it seeks a bullish candle close back above the lower boundary and targets the Friday close; for a gap up, it seeks a bearish close below…

Valūtu tirgusCenas izrāviensVēsturisko datu pārbaudeRiska pārvaldība
MQL5 articles

The document describes an MQL5 chart indicator for comparing price movements across the current instrument and five user-selected symbols. It displays raw prices as lines, bars, or candlesticks and lets users choose where the series should be aligned: at a…

Valūtu tirgusTehniskie indikatoriVairāku aktīvu tirdzniecība
MQL5 articles

The document explains FITS, a compact neural-network approach to time-series forecasting. It transforms an input window with the fast Fourier transform, interpolates its complex frequency representation using a complex linear layer, then applies the inverse…

MašīnmācīšanāsStatistikaVēsturisko datu pārbaude
MQL5 articles

The article presents Bag-of-SFA-Symbols (BOSS) as a way to classify market regimes by converting price windows into symbolic words. Each window is z-normalized to reduce sensitivity to price level, transformed with a low-pass Fourier representation to retain…

MašīnmācīšanāsStatistikaSvārstīgumsSekošana tendencei
MQL5 articles

The article explains SSCNN, a neural architecture for multivariate forecasting that decomposes a series into long-term, seasonal, and short-term components plus residual information. A temporal attention normalization layer selects relevant observations for…

MašīnmācīšanāsStatistika
MQL5 articles

The article introduces OpenCL as a way to run computational workloads in parallel from MQL5, using a calculation of pi to illustrate the difference between a single CPU loop and an OpenCL implementation. It outlines the roles of vendor runtimes and SDKs, and…

MašīnmācīšanāsRīkojumu izpildeVēsturisko datu pārbaude
MQL5 articles

This article presents a MetaTrader 5 expert advisor that uses fast and slow exponential moving average crossovers to start long or short trades. The example checks for signals on completed bars, opens an initial order with configurable volume and stop…

Valūtu tirgusSekošana tendenceiCenas impulssRīkojumu izpilde
MQL5 articles

This introductory article explains how a risk-management class for MetaTrader 5 could track daily, weekly, total, and per-trade losses, as well as profits. It describes setting thresholds, checking account conditions during operation, and stopping or closing…

Riska pārvaldībaPozīcijas apjoma noteikšanaRīkojumu izpildeValūtu tirgus
MQL5 articles

This installment of a candlestick trend-constraint indicator series discusses ways to identify possible trend changes, including moving averages, candlestick patterns, trendlines, and support and resistance. Its implementation adds a reversal signal based on…

Tehniskie indikatoriSekošana tendenceiCenas izrāviensValūtu tirgus
MQL5 articles

The article describes an include-file risk manager for MetaTrader 5 expert advisors. It outlines conservative, moderate, aggressive, and custom modes, with limits for daily, total, and per-trade risk. It also compares balance-based and equity-based drawdown…

Riska pārvaldībaPozīcijas apjoma noteikšanaRežģa tirdzniecībaRīkojumu izpilde
MQL5 articles

This article describes a workflow for training a Twin Delayed Deep Deterministic Policy Gradient (TD3) agent in Python and deploying its actor network in an MQL5 Expert Advisor through ONNX. It presents the trading task as sequential decision-making:…

MašīnmācīšanāsTehniskie indikatoriVēsturisko datu pārbaudeRiska pārvaldība
MQL5 articles

This introductory tutorial explains how MQL5 programs can communicate with external servers using HTTP requests. It outlines the two WebRequest function forms and the roles of methods, URLs, headers or cookies, timeouts, byte-array request bodies, response…

Rīkojumu izpildeTirgus mikrostruktūra
MQL5 articles

This article explains Charged System Search (CSS), a population-based optimization method inspired by electric charges and Newtonian motion. Candidate solutions are modeled as charged spheres. Their fitness determines their charge, while forces between…

MašīnmācīšanāsStatistikaVēsturisko datu pārbaude
MQL5 articles

In this championship interview, developer Vladimir Tsyrulnik describes an automated USD/JPY approach that interprets market state at selected points in a bar’s lifetime. Its directional forecast is based on an index derived from Bulls/Bears Power, with other…

Valūtu tirgusTehniskie indikatoriSekošana tendenceiRiska pārvaldība
MQL5 articles

This article outlines an intraday Expert Advisor built around pullbacks to an exponential moving average. Trend direction is inferred from price relative to the average, while an interaction is identified when a candle crosses the line and closes back on the…

Valūtu tirgusSekošana tendenceiTehniskie indikatoriRiska pārvaldība
MQL5 articles

This installment describes adapting a MetaTrader 5 replay and simulation system so its control indicator works as a module. The system moves away from terminal global variables toward custom user events for communication among its service, mouse indicator,…

Rīkojumu izpildeVēsturisko datu pārbaudeTirgus mikrostruktūra
MQL5 articles

The article explains Local Feature Selection (LFS), a classification method that chooses a potentially different subset of predictors for each training sample or local region. Instead of ranking features by their overall predictive value, it seeks features…

MašīnmācīšanāsStatistikaVēsturisko datu pārbaude
MQL5 articles

The article presents a way for MQL4 and MQL5 indicators to read one another’s data buffers without repeatedly calling the standard custom-indicator access functions. Its approach passes a dynamic array’s memory address to a small C++ DLL, then uses that…

Tehniskie indikatoriRīkojumu izpildeAugstas frekvences tirdzniecība
MQL5 articles

The article turns Larry Williams’ smash day reversal idea into objective rules for an Expert Advisor. A bullish setup begins when a bar closes below a configurable number of earlier lows; a bearish setup closes above earlier highs. Outside bars are excluded,…

Tehniskie indikatoriCenas izrāviensAtgriešanās pie vidējās vērtībasRiska pārvaldība
MQL5 articles

The article explores whether forecasting changes in RSI can provide a useful proxy for forecasting direction in Deriv’s Boom 1000 synthetic market. Using 100,000 one-minute observations, it compares a direct price-direction target with a target based on…

MašīnmācīšanāsValūtu tirgusTehniskie indikatoriVēsturisko datu pārbaude