Liigu sisu juurde

Teadmiste raamatukogu

Kokkuvõtted ja põhiideed raamatutest, teadustöödest, artiklitest ja koodist, mida meie AI-agendid loevad. Need on koostanud Stratmilli uurimisagent. Igal lehel on link originaalile.

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

Otsi raamatukogust

3,012 dokumenti

MQL5 articles

The article outlines an MQL5 Expert Advisor that trades moving average crossovers and periodically searches for better fast and slow periods. It proposes testing parameter combinations over fixed ranges, skipping pairs where the slow average is not longer,…

ValuutaturgTehnilised indikaatoridTagantjärele testimineRiskijuhtimine
MQL5 articles

The article introduces multiple regression as a way to estimate how several explanatory variables relate to a market outcome, first using a non-financial example and then applying the method to EURUSD. It describes compiling historical US economic-calendar…

ValuutaturgStatistikaSündmustepõhineTagantjärele testimine
MQL5 articles

The article describes a cross-market trading framework using silver quoted in US dollars and euros alongside EURUSD. It reasons that currency movements should affect the two silver quotations differently, then looks for aligned price behavior across all…

ToorainedValuutaturgStatistikaTagantjärele testimine
MQL5 articles

This article demonstrates a basic CatBoost workflow for building a directional trading classifier. It derives lagged features from deviations of closing prices from a moving average, then assigns buy or sell labels according to whether price rises or falls…

MasinõpeValuutaturgTagantjärele testimineTehnilised indikaatorid
MQL5 articles

The article extends optimal-f position sizing by constraining risk per trade according to account survival, a minimum acceptable geometric average return, maximum drawdown, and discrete volume increments. It models each trade’s outcome as a return linked to…

RiskijuhtiminePositsiooni suuruse määramineStatistikaTagantjärele testimine
MQL5 articles

The document explains how to compute and export a trading history report for an Expert Advisor. It accumulates trade profit, commission, and swap, tracks account balance peaks and troughs for absolute and percentage drawdown, and summarizes winning and…

Tagantjärele testimineStatistikaRiskijuhtimine
MQL5 articles

This article presents a rule-based breakout framework that looks for directional pressure within a consolidation before price crosses its boundary. It first identifies alternating swing highs and lows with fractals, then qualifies a range using its duration,…

LäbimurreTehnilised indikaatoridVolatiilsusValuutaturg
MQL5 articles

This article explains an intraday Opening Range Breakout approach and an MQL5 Expert Advisor designed to identify and display its signals. It describes two ways to define the range: using the previous session’s final candle and the current session’s opening…

LäbimurreVolatiilsusRiskijuhtimineTehnilised indikaatorid
MQL5 articles

This article develops multi-pattern entry logic for Nvidia shares using RSI and DeMarker, with price structure and range behavior as additional filters. Examples include aligned oscillator slopes with range expansion, pullbacks after an impulse while…

AktsiadTehnilised indikaatoridMomentumLäbimurre
MQL5 articles

This installment covers operational safeguards for moving a multi-currency Expert Advisor from testing toward live accounts. It describes configurable symbol-name mappings for broker-specific prefixes, suffixes, or other naming differences; a mode that stops…

RiskijuhtimineTehingute täitmineMitme varaklassiga
MQL5 articles

The article turns a liquidity-zone idea into rules for an MQL5 Expert Advisor. It treats a compact base candle as a liquidity structure and looks for a larger impulse candle in the same direction. If the range ratio and directional conditions pass, the EA…

ValuutaturgLäbimurreRiskijuhtimineTehingute täitmine
MQL5 articles

The article introduces Markov chain Monte Carlo sampling and explains the Metropolis–Hastings algorithm for approximating a target distribution when its normalized density is difficult to compute. Each iteration proposes a candidate state and accepts it with…

MasinõpeStatistika
MQL5 articles

This tutorial describes how an MQL5 script can retrieve account balances from Binance through authenticated API requests. It begins by obtaining Binance’s server timestamp from a public endpoint, then outlines using that value with an API key and secret to…

KrüptoTehingute täitmine
MQL5 articles

The article explains how variational autoencoders (VAEs) extend ordinary autoencoders for learning latent representations. A standard autoencoder can encode examples into separated points, leaving gaps where decoding produces unrealistic outputs. The VAE…

MasinõpeStatistika
MQL5 articles

This programming article describes a reusable MQL5 wrapper around the platform’s WebRequest function, modeled on Python’s Requests library. Its goal is to simplify HTTP communication from MetaTrader, including sending GET, POST, PUT, and other request types,…

Tehingute täitmineMitme varaklassiga
MQL5 articles

This article completes an implementation of the Hierarchical Vector Transformer (HiVT), adapting a model originally designed for multi-agent motion prediction to financial time-series forecasting. The architecture builds local representations for individual…

MasinõpeStatistikaTagantjärele testimine
MQL5 articles

This article outlines an indicator for detecting bullish and bearish megaphone formations, also called broadening patterns. It defines each formation through four alternating swing points: highs and lows expand outward, while a proportional range limit is…

Tehnilised indikaatoridLäbimurreRiskijuhtimine
MQL5 articles

This overview explains how MetaTrader 5 expands on MetaTrader 4 for automated trading across exchange-traded instruments as well as forex. It highlights MQL5’s faster execution ambitions, object-oriented and procedural programming, event handling, and…

Mitme varaklassigaTagantjärele testimineTehingute täitmine
MQL5 articles

This article discusses implementing the attention module of a Sparse Adaptive Graph Diffusion Network (SAGDFN) for financial time-series analysis using MQL5 and OpenCL. The framework samples significant neighbors, then applies sparse multi-head attention to…

MasinõpeStatistikaTagantjärele testimine
MQL5 articles

This programming tutorial demonstrates a vertical scrollbar for an MQL5 indicator subwindow that displays a long list of financial instrument properties. Instead of creating a separate text label for every entry, it uses a canvas rendered through one bitmap…

Tehingute täitmine
MQL5 articles

This article explains how MQL5 programs can use AutoItX to control parts of the MetaTrader 5 graphical interface that are not readily handled in pure MQL5. Examples include adding or removing scripts and expert advisors on charts, reading Experts and Journal…

Tehingute täitmineTuru mikrostruktuur
MQL5 articles

The interview describes Juan Pablo Alonso Escobar’s automated EURUSD strategy, developed for the 2012 Automated Trading Championship. It identifies exhausted short-term moves with technical indicators and enters against them. He selected indicators,…

ValuutaturgKeskmise juurde naasmineTehnilised indikaatoridTagantjärele testimine
MQL5 articles

This article proposes training a machine learning model to choose between buy and sell grids. Instead of labeling examples from the direction of a single position over a future horizon, it simulates a grid across that price window and labels the side using…

ValuutaturgMasinõpeVõrgukauplemineTagantjärele testimine
MQL5 articles

The article investigates how MQL5 manages indicator handles and compares standard MQL5 buffer access with MQL4-style access, both with and without caching. Experiments create multiple MACD indicators with varying or identical settings across charts. The logs…

Tehnilised indikaatoridTehingute täitmine