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
WonderTrader
14 dokumenti
Alphalens
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 installment in a multi-currency EA series extends virtual position handling to pending buy and sell limit and stop orders. It proposes representing pending orders and positions with one class: when market price reaches an order’s trigger, the object…

Mitme varaklassigaTehingute täitmineTagantjärele testimineRiskijuhtimine
MQL5 articles

This article explains how to use Parabolic SAR values as candidate Stop Loss levels in an EA’s trailing-stop logic. The indicator is created with configurable timeframe and parameters; its value, typically read from a completed bar, is passed to a trailing…

Tehnilised indikaatoridTrendijärgimineRiskijuhtimineTehingute täitmine
MQL5 articles

This article describes extending a manual MetaTrader EA so it can show chart lines for potential order limits while a trader positions an order with the mouse. It introduces a C_Terminal class to centralize shared terminal-related behavior and reduce…

Tehingute täitmine
MQL5 articles

This article describes a neural-network trading workflow using Python, TensorFlow, and Keras, with MQL5 scripts supplying historical prices and indicator data. The system separates buy and sell examples and uses two networks for each direction: one learns to…

MasinõpeTehnilised indikaatoridValuutaturgTagantjärele testimine
MQL5 articles

The article explains SAC+DICE, an off-policy reinforcement learning approach that combines optimistic exploration with correction for the mismatch between replay-buffer samples and the current policy. It motivates the method by noting that conservative…

MasinõpeStatistikaTagantjärele testimine
MQL5 articles

This practical guide expands an MQL5 EX5 library for managing open positions and shows how to import it into other programs. It explains import declarations, function prototypes, library naming, and common runtime failures caused by mismatched paths or…

Tehingute täitmineRiskijuhtimine
MQL5 articles

The article concludes a series on GinAR, a neural architecture for noisy financial time series. Its cells combine contextual attention, adaptive graph processing, recurrent state, and separate forget and reset controls. Multiple layers process a sequence,…

MasinõpeStatistikaTagantjärele testimineMitme varaklassiga
MQL5 articles

This article explains how to build a chart dashboard in MQL5 with the CCanvas library. It describes a graph panel for recent closing prices and an optional statistics panel for account balance, equity, and current-bar open, high, low, and close values. The…

Tehingute täitmine
MQL5 articles

This article sketches an experimental approach to market analysis using Qiskit and MetaTrader 5. It describes encoding price movements into quantum circuits, applying quantum phase estimation, and combining quantum methods with classical probability and…

MasinõpeStatistika
MQL5 articles

The document introduces DUET, a neural forecasting framework for multivariate time series that clusters information along both time and variable channels. Its Temporal Clustering Module groups temporal patterns and uses a mixture of encoders with noisy…

MasinõpeStatistika
MQL5 articles

This tutorial describes moving a small financial language model training example from CPU to GPU, with emphasis on preparing AMD hardware for ROCm. It recommends Ubuntu because the article reports that ROCm-enabled PyTorch was not available for Windows or…

Masinõpe
MQL5 articles

This article describes an MQL5 expert advisor that calculates Fibonacci retracement levels from daily candle ranges or a configurable lookback array. It derives a bullish or bearish setup from candle direction and can enter when price crosses selected custom…

ValuutaturgTehnilised indikaatoridTagantjärele testimineRiskijuhtimine
MQL5 articles

This article explains bidirectional piecewise linear representation (BPLR), a way to compress a time series into line segments while retaining its broad shape. For anomaly detection, the described method divides cyclic data into non-overlapping subsequences,…

MasinõpeStatistika
MQL5 articles

This article introduces support vector machines as supervised classifiers that map labeled input examples into a feature space and determine a boundary separating two categories. It uses a two-dimensional diagram explanation and a hypothetical…

MasinõpeStatistika
MQL5 articles

This tutorial walks through setting up Python for use with MetaTrader 5, implementing a perceptron and a multilayer perceptron, and connecting Python workflows with MQL5. It explains network initialization, forward propagation, sigmoid activation,…

MasinõpeStatistika
MQL5 articles

The article turns a visual flag-pattern detector into a signal source for an MQL5 Expert Advisor. Instead of asking the EA to interpret chart drawings, the indicator publishes buy and sell breakout values through dedicated buffers and records the flagpole…

LäbimurreTehnilised indikaatoridTehingute täitmineRiskijuhtimine
MQL5 articles

This article tests overbought and oversold breakouts in a combined Williams Percent Range indicator built from the two currency baskets in a pair. The method compares each currency’s strength, seeks a threshold crossing in the combined reading, and enters on…

ValuutaturgKeskmise juurde naasmineLäbimurreTehnilised indikaatorid
MQL5 articles

The article applies category-theory naturality squares to classify price-change data across three linked currency pairs. USDJPY forms the source series, while EURJPY and EURUSD form the paired destination series. The proposed construction connects their…

ValuutaturgArbitraažMasinõpeStatistika
MQL5 articles

The article explains how MQL5 indicators use data buffers and color-index buffers to assign different colors to individual plotted values. It distinguishes the number of plots from the number of buffers, describes static and dynamic color configuration, and…

Tehnilised indikaatorid
MQL5 articles

The article outlines an Expert Advisor that detects local swing highs and lows from recent bars, then uses alternating swing states to trigger buy or sell orders. Inputs set minimum swing confirmation and distance, whether trade levels use candle wicks or…

Tehnilised indikaatoridTrendijärgimineRiskijuhtimine
MQL5 articles

This article explains how to implement custom candlestick displays in MQL5, progressing from a single-color plot to candles whose colors encode a trading rule. It describes the four price buffers needed for open, high, low, and close values, and shows how…

Tehnilised indikaatorid
MQL5 articles

The article describes a three-part pipeline for observing live MetaTrader 5 strategies: an MQL5 exporter buffers metric rows, daily CSV files hold the stream, and a Python daemon tails the active file to update rolling summaries and log anomalies. It…

Tehingute täitmineStatistikaRiskijuhtimine
MQL5 articles

This article describes an MQL5 Expert Advisor that gathers several technical indicator readings into a chart-based dashboard. It groups tools into trend, momentum, and volatility categories, using moving averages and ADX for trend context, oscillators and…

Tehnilised indikaatoridTrendijärgimineMomentumVolatiilsus
MQL5 articles

The article explains how to construct a Three Line Break chart from closing prices without using equal time intervals to determine each new line. A line extends the current direction when price exceeds the prior extreme; a reversal requires price to cross a…

Tehnilised indikaatoridTrendijärgimineValuutaturg