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
Quantpedia
86 dokumenti
TqSdk
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 develops an MQL5 chart indicator for finding bullish and bearish Oops gap reversals. It defines a gap as an open beyond the previous bar’s low or high by at least a configurable minimum, then confirms the reversal when a completed bar closes back…

ValuutaturgTehnilised indikaatoridTagantjärele testimine
MQL5 articles

The article outlines a process for assessing automated trading systems offered in a marketplace. It recommends understanding whether an Expert Advisor acts on ticks, new bars, or a timer, because operating logic affects how it should be tested and how…

Tagantjärele testimineTehingute täitmineRiskijuhtiminePortfelli koostamine
MQL5 articles

This article presents a toolkit for assessing whether observed trading returns are distinguishable from chance. It explains why net profit, profit factor, and win rate do not convey uncertainty, and describes one-sample and Welch t-tests, Mann–Whitney U…

StatistikaTagantjärele testimineVolatiilsusRiskijuhtimine
MQL5 articles

The article describes extending a MetaTrader strategy tester EA so it can replay real account deals while applying alternative StopLoss, TakeProfit, and trailing-stop rules. It discusses Parabolic SAR and moving-average trailing approaches, then adapts…

Tagantjärele testimineTehnilised indikaatoridValuutaturgRiskijuhtimine
MQL5 articles

The article introduces category theory equalizers as a way to identify input cases where two mappings agree, then applies the idea to forecasting changes in bar range from changes in ATR. It normalizes both series as percentage changes, groups them into…

ValuutaturgVolatiilsusTehnilised indikaatoridStatistika
MQL5 articles

The article introduces the Mask-Attention-Free Transformer (MATF), originally developed for 3D point-cloud segmentation, and describes an interpretation for trading models. MATF addresses slow Transformer training attributed to poor initial object masks by…

MasinõpeTagantjärele testimineStatistikaValuutaturg
MQL5 articles

The article turns Larry Williams’ Hidden Smash Day idea into explicit rules for an automated strategy. A bullish setup is an up-closing bar whose close lies in the bottom quarter of its own range; a bearish setup is the inverse, with the close in the top…

ValuutaturgKeskmise juurde naasmineTehnilised indikaatoridRiskijuhtimine
MQL5 articles

This article explains the design of a Volume at Price display for MetaTrader 5, aimed at showing traded volume across price levels. It focuses on implementation and platform performance rather than teaching how to interpret the resulting profile. The…

Tehnilised indikaatoridTuru mikrostruktuurTehingute täitmine
MQL5 articles

The article describes a high-throughput way to search for trading rules using tick histories rather than bars and indicators. It uses MetaTrader 5’s strategy tester, custom tick symbols, and a fast Expert Advisor that reacts to each tick. To reduce…

ValuutaturgTagantjärele testimineKõrgsageduskauplemineStatistika
MQL5 articles

This article explains an interpretation of the Artificial Bee Colony (ABC) algorithm, a population-based method inspired by how honey bees search for food sources. Candidate solutions represent locations in a multidimensional search space, and the objective…

StatistikaMasinõpePortfelli koostamine
MQL5 articles

This article presents a NumPy-inspired utility class for MQL5, intended to make mathematical and data-processing code easier to translate from Python. It surveys vector and matrix constructors, arithmetic operations, mathematical and statistical functions,…

MasinõpeStatistika
MQL5 articles

This article describes the property-aware attention component of an Atom-Motif Contrastive Transformer for forecasting market patterns. It treats candlesticks as atomic observations and larger chart patterns as motifs, then uses contrastive learning to…

MasinõpeTehnilised indikaatoridStatistikaTagantjärele testimine
MQL5 articles

The article explains alternatives to fixed-time bars for representing market data, including volume, range, momentum, volatility-regime, swing-point, acceleration, Renko, and Kagi bars. Each method forms bars according to market activity or price behavior…

Turu mikrostruktuurStatistikaTehnilised indikaatoridTagantjärele testimine
MQL5 articles

The article tests whether forecasting performance differs across 11 EURUSD time frames, using equal-sized samples of historical and future closing prices and a 20-step forecast horizon. It reports that models had lower errors on monthly and hourly data than…

ValuutaturgMasinõpeStatistikaTagantjärele testimine
MQL5 articles

The article develops Rolling Windows Eigenvector Comparison (RWEC) to monitor whether the portfolio weights of a cointegrated stock basket remain stable. It contrasts RWEC with In-Sample/Out-of-Sample ADF validation, which estimates a cointegration vector on…

PaariskauplemineArbitraažStatistikaRiskijuhtimine
MQL5 articles

This programming tutorial explains how MQL5 structures can group related values and how those values can be used in functions. A date-formatting example compares passing individual fields with passing an entire date structure by reference. Individual…

Tehingute täitmine
MQL5 articles

This article develops several MQL5 indicators that extract statistics from ZigZag segments: how frequently direction changes, the sums and averages of upward and downward segments, and the percentage balance between those sums. A further indicator compares…

Tehnilised indikaatoridStatistikaTagantjärele testimine
MQL5 articles

The article describes an MQL5 expert advisor that manages trades across 30 forex and metal symbols from one chart. Traders can select which pairs to trade, add broker-specific symbol prefixes or suffixes, and restrict activity to a chosen trading session.…

ValuutaturgToorainedTehnilised indikaatoridMitme varaklassiga
MQL5 articles

This article builds a Multifractal Model of Asset Returns (MMAR) from previously estimated scaling parameters and compares its volatility forecasts with a GARCH(1,1) model. It creates multifractal trading time with a normalized multiplicative cascade, then…

VolatiilsusStatistikaMasinõpeTagantjärele testimine
MQL5 articles

The article adapts empirical mode decomposition (EMD) for short-horizon forecasting. EMD splits a time series into intrinsic mode functions and a residual by iteratively finding extrema and interpolating them with splines. The proposed forecast extends the…

StatistikaTehnilised indikaatoridTagantjärele testimine
MQL5 articles

The article explains how to launch MetaTrader 5 with a custom configuration file so scripts or Expert Advisors can run automatically. It covers startup settings for the account, symbol, timeframe, and program to run, along with the MQL_STARTED_FROM_CONFIG…

Tagantjärele testimineTehingute täitmine
MQL5 articles

The article describes an MQL5 tool that tests whether trade sequence, position size, and market context help predict losses. It encodes each closed deal with eight features and trains a small feed-forward neural network using stochastic gradient descent. A…

MasinõpeStatistikaRiskijuhtiminePositsiooni suuruse määramine
MQL5 articles

This article explains a stepwise feature-selection method based on mutual information, designed to identify predictors that relate to a target while avoiding redundant features. For continuous data, it contrasts density estimation with Parzen windows, whose…

MasinõpeStatistika
MQL5 articles

This article presents an iterative pattern-search tool for trading, including a finite, modified Fourier-series polynomial as an alternative family of functions for describing price behavior. Its coefficients are generated through several random schemes, and…

ValuutaturgMasinõpeTagantjärele testimineTehingute täitmine