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
Binance API docs
45 dokumenti
Quantopiani loengud
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

This reference article surveys MQL5's matrix and vector types and their built-in methods for mathematical and data-processing work. It covers object creation and initialization, copying arrays and timeseries, matrix and vector arithmetic, transformations,…

MasinõpeStatistikaValuutaturg
MQL5 articles

This article explains PointNet++, a neural network architecture that learns local and global structure from unordered point sets. It contrasts the method with PointNet, which aggregates points into a global representation without capturing local…

MasinõpeStatistikaTagantjärele testimine
MQL5 articles

The article proposes replacing sequential trailing-stop updates with a probabilistic skip-list search, paired with a Hopfield network that checks whether recent price moves still fit a broader market pattern. The skip list uses sparse upper levels to search…

ValuutaturgRiskijuhtimineMasinõpeTagantjärele testimine
MQL5 articles

The article presents Adaptive Social Behavior Optimization (ASBO), a population-based method for optimizing an objective function. In its first phase, several populations evolve independently using movements influenced by a global leader, each agent's…

StatistikaTagantjärele testimineMasinõpe
MQL5 articles

This guide describes a pipeline for exporting MetaTrader information to Google Sheets. A MetaTrader program formats account and trading data and sends it to a Flask proxy; the proxy authenticates with a Google service account and uses the Sheets API to…

Tagantjärele testimineRiskijuhtimineStatistikaTehingute täitmine
MQL5 articles

The article outlines an automated trading approach that uses changes in trading volume and their acceleration as signals of rising or fading participation. It proposes combining those measures with an LSTM forecast of future volume, with ADX or OBV available…

MasinõpeMomentumRiskijuhtimineTehnilised indikaatorid
MQL5 articles

This article explains how to estimate structure in financial returns by converting rolling windows into symbols with Symbolic Aggregate Approximation (SAX), then counting distinct phrases with the Lempel-Ziv 1976 algorithm. The normalized count approaches…

StatistikaTuru mikrostruktuurTehnilised indikaatorid
MQL5 articles

The article challenges common trading maxims by arguing that a system should manage a collection of positions rather than rely on a single entry and exit. Its proposed approach treats prices as largely random and favors reacting to deviations from an average…

ValuutaturgKeskmise juurde naasminePositsiooni suuruse määramineRiskijuhtimine
MQL5 articles

The article proposes a conceptual model in which prices reflect interacting market participants, external events, and feedback. It treats the market as nonstationary and uncertain: the state must be estimated from recent history, different instruments are…

StatistikaTuru mikrostruktuurTehnilised indikaatoridVolatiilsus
MQL5 articles

The article explains how to build a self-contained strategy tester around MetaTrader 5’s math calculations mode. This mode runs an expert’s OnTester function without normal trading environment access, reducing overhead while retaining optimization features…

Tagantjärele testimineTehingute täitmine
MQL5 articles

This installment in a MetaTrader library series addresses compatibility between MQL4 and MQL5 while tracking position openings and pending-order activations. It starts by compiling a test expert advisor under MQL4, then uses the resulting errors to identify…

Tehingute täitmineTuru mikrostruktuurRiskijuhtimine
MQL5 articles

This article describes Traj-LLM, a framework originally designed to predict autonomous vehicle trajectories, and adapts its components to financial time-series forecasting. It combines sparse joint encoding of agent and scene features, high-level interaction…

MasinõpeStatistikaTagantjärele testimineRiskijuhtimine
MQL5 articles

This tutorial explains how to configure one MQL5 custom indicator to draw multiple lines. It starts with a line that follows each bar’s high, then adds a second data buffer for the low. Each plotted line needs its own buffer, a unique buffer index, and…

Tehnilised indikaatorid
MQL5 articles

This programming tutorial explains constant arrays as fixed-size, read-only data structures and distinguishes arrays whose size is inferred from their initial values from arrays with an explicitly declared capacity. Its examples show that an explicitly…

StatistikaTehingute täitmine
MQL5 articles

This article presents a caching architecture for speeding up repeated financial machine-learning computations during feature development, parameter searches, and backtests. It explains why a basic in-memory cache is insufficient for Pandas and NumPy data:…

MasinõpeTagantjärele testimineStatistika
MQL5 articles

This tutorial shows how to connect an MQL5 program to Telegram’s Bot API. It covers bot registration, private chats, groups, and channels, then describes a reusable bot class that sends HTTP requests, parses JSON responses, retrieves updates, and dispatches…

Tehnilised indikaatoridTehingute täitmineValuutaturg
MQL5 articles

This installment explains how to extend a MetaTrader 5 indicator so a selected chart object can be resized through an outline made from rectangle-label objects. The code stores the target object’s position and dimensions, creates four thin edge objects…

Tehingute täitmineTuru mikrostruktuur
MQL5 articles

This article adds a Williams Percent Range reversal strategy to an Expert Advisor ensemble that also contains RSI momentum and moving-average crossover strategies. It describes a weighted voting policy: each strategy contributes a vote with a tunable weight…

MomentumKeskmise juurde naasmineTehnilised indikaatoridTagantjärele testimine
MQL5 articles

This programming tutorial develops MQL5 functions for checking and normalizing stop-loss, take-profit, and pending-order levels before trades are opened or modified. It gathers symbol properties such as digits, point size, bid and ask, volume constraints,…

Tehingute täitmineRiskijuhtiminePositsiooni suuruse määramineTagantjärele testimine
MQL5 articles

The article introduces Client, a multivariate forecasting architecture that shifts Transformer attention from relationships across time steps to relationships between variables. It combines this attention block with a linear module intended to capture…

MasinõpeStatistikaTagantjärele testimine
MQL5 articles

The article develops ten individually testable signal patterns combining Ichimoku levels with ADX-Wilder. Ichimoku supplies candidate support, resistance, and trend context through its lines and cloud; ADX measures trend strength, with its directional…

ValuutaturgTehnilised indikaatoridTrendijärgimineLäbimurre
MQL5 articles

This article examines a MetaTrader 5 replay and simulation service whose control indicator needs to place chart objects on the chart opened by the service. The central issue is that ChartID called inside the indicator can differ from the ID returned when the…

Tagantjärele testimineTehingute täitmine
MQL5 articles

The article describes defensive recovery for an MQL5 Expert Advisor that manages trades using runtime state and SQLite records. Its validation function checks whether a managed broker position, in-memory trade state, and database record agree. It handles two…

RiskijuhtimineTehingute täitmine
MQL5 articles

The article presents an MQL5 architecture for coordinating multiple symbol-specific trading agents through a central Portfolio Controller. The controller tracks shared exposure, publishes risk limits and halt state, and applies portfolio-level safeguards;…

Mitme varaklassigaRiskijuhtiminePortfelli koostaminePositsiooni suuruse määramine