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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 article presents a discretionary trade-entry framework that combines subjective support, resistance, and midpoint reference levels with three two-candle patterns. The patterns describe wick rejection, a tweezer-like pair with similar candle bodies, and…

Valūtu tirgusTehniskie indikatoriCenas izrāviens
MQL5 articles

This practical guide uses a rolling z-score indicator to demonstrate how MetaEditor’s sampling profiler can locate expensive code. It explains how to start profiling on live or historical data and how to read Self CPU, which attributes samples to a…

StatistikaTehniskie indikatoriVēsturisko datu pārbaude
MQL5 articles

This article describes interface and visualization upgrades for an MQL5 tool that displays a binomial distribution in three dimensions. It adds a segmented curve made from box primitives to show the probability mass function with clearer depth,…

StatistikaTehniskie indikatori
MQL5 articles

This article explains why classifier probabilities need calibration before they are used for trade sizing. A model can rank opportunities well while overstating their true win rates; that error can flow into probability-based sizing and Kelly-style…

MašīnmācīšanāsStatistikaRiska pārvaldībaPozīcijas apjoma noteikšana
MQL5 articles

The article introduces gradient boosted decision trees and explains how XGBoost and LightGBM build an ensemble sequentially, fitting trees to reduce the errors of earlier predictions. It covers practical distinctions from methods such as logistic regression,…

MašīnmācīšanāsStatistikaVēsturisko datu pārbaude
MQL5 articles

This article describes an Expert Advisor that combines an ONNX price classifier with SMA and EMA trend filters. Predicted direction is used to trigger trades only when price also lies on the corresponding side of both moving averages. The system periodically…

MašīnmācīšanāsTehniskie indikatoriValūtu tirgusAkcijas
MQL5 articles

The article explains Ebola Optimization Search Algorithm (EOSA), a population-based metaheuristic inspired by disease transmission. It maps close contact to local exploitation around a strong solution and travel to exploration across the search space, while…

MašīnmācīšanāsStatistikaVēsturisko datu pārbaude
MQL5 articles

The article outlines a trading bot that connects an MT5 Expert Advisor to a Python server over a socket. The EA sends a symbol and Twitter API credentials, requests sentiment data at regular intervals, and receives a sentiment value. The described trading…

Tirgus noskaņojumsMašīnmācīšanāsRīkojumu izpilde
MQL5 articles

In this interview, Automated Trading Championship 2012 participant Sergey Abramov discusses the design and behavior of his trading robot. He says its entry timing was selected by optimizing results from prior periods, with one main entry time during exchange…

Sekošana tendenceiVēsturisko datu pārbaudePozīcijas apjoma noteikšanaRiska pārvaldība
MQL5 articles

The article describes the Blue Monkey algorithm as a population-based method for optimizing discrete trading robot parameters. It divides adult candidates into groups, moves each toward its group’s best candidate, and separately moves a smaller offspring…

MašīnmācīšanāsVēsturisko datu pārbaudeStatistika
MQL5 articles

The article explains how to draw horizontal bar diagrams on MetaTrader 5 charts for distributions such as tick volume by price or time. It separates the work into preparing data coordinates and managing the graphical objects, which may be horizontal lines or…

Tehniskie indikatoriTirgus mikrostruktūra
MQL5 articles

The article describes integrating MetaTrader 4 with Microsoft SQL Server through a DLL and database procedures. Its example stores incoming tick time, symbol, bid, and ask values in a SQL table, with the server assigning its own insertion timestamp. Related…

Valūtu tirgusTirgus mikrostruktūraRīkojumu izpildeVēsturisko datu pārbaude
MQL5 articles

This installment revises an MQL5 market replay service to make one-minute bar construction more consistent and efficient. The earlier approach could take longer than a minute to build bars, particularly during volatile periods, creating a misleading…

Vēsturisko datu pārbaudeTirgus mikrostruktūraStatistika
MQL5 articles

This project explains how an MQL5 Expert Advisor can use Binance’s API to retrieve candlestick data for an asset that is not available in the MetaTrader terminal. It parses the returned candle fields, including OHLC prices and opening times, then checks…

KriptoaktīviTūlītējo darījumu tirgiTehniskie indikatoriRīkojumu izpilde
MQL5 articles

The article argues that common regression losses such as RMSE, MSE, and MAE can favor a forecast near the target’s historical mean. In noisy financial data, a model that predicts the average return may score well without learning a signal useful for trading.…

MašīnmācīšanāsStatistikaVēsturisko datu pārbaudeRiska pārvaldība
MQL5 articles

The article presents a workflow for using CatBoost to filter trades from a moving average crossover trend-following strategy. The model is trained to classify trade outcomes as wins or losses, using market features recorded for each trade. The proposed role…

MašīnmācīšanāsSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
MQL5 articles

This article explains how to make a chart-based MetaTrader Expert Advisor calculate order sizes and protective levels across instruments with different contract specifications. The author compares Brazilian shares, futures contracts, and forex, highlighting…

Rīkojumu izpildeRiska pārvaldībaNākotnes līgumiValūtu tirgus
MQL5 articles

This article investigates why an automated optimization pipeline failed to produce a final Expert Advisor database for one project. It traces the project through its stages by inspecting SQLite records for stages, jobs, tasks, and completed passes. Short…

Vēsturisko datu pārbaudeMašīnmācīšanāsRiska pārvaldība
MQL5 articles

This article continues a machine learning trading project by choosing binary classification and training an XGBoost model on engineered features. It describes separating labels from numeric inputs, fitting the classifier, and evaluating predictions on a…

MašīnmācīšanāsVēsturisko datu pārbaudeValūtu tirgusStatistika
MQL5 articles

This article adds Golden Cross and Death Cross logic to a multi-strategy MetaTrader 5 Expert Advisor. The signals are based on a faster moving average crossing above or below a slower one, with the commonly cited long-period pairing used as an example. The…

Sekošana tendenceiTehniskie indikatoriMašīnmācīšanās
MQL5 articles

This installment describes the early implementation of a visual order-management interface for a MetaTrader 5 Expert Advisor. The intended chart display includes controls and markers for order price, stop loss, take profit, and closing actions, with related…

Rīkojumu izpildeRiska pārvaldība
MQL5 articles

The article presents an MQL5 indicator concept for identifying psychologically salient price levels across instruments with different quote precision. Its method first rounds prices to the tradable tick size, converts the normalized value to a string at the…

Tehniskie indikatoriValūtu tirgusTirgus mikrostruktūraRiska pārvaldība
MQL5 articles

This article surveys data preparation for neural network classifiers, focusing on filtering mislabeled training examples and reducing input dimensions. It compares data-level noise filtering with methods that try to make the classifier itself more robust,…

MašīnmācīšanāsStatistikaVēsturisko datu pārbaude
MQL5 articles

This article presents a defensive MQL5 foundation for intraday market measurements, motivated by irregular observations, fat tails, volatility clustering, and sparse history. It describes guards for division, logarithms, square roots, exponential overflow,…

Tirgus mikrostruktūraStatistikaRiska pārvaldībaRīkojumu izpilde