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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 installment of an MQL5 Economic Calendar series describes making a chart dashboard movable and adding hover feedback to its controls. The approach detects pointer coordinates over the header and buttons, changes colors on hover, and treats header…

Uz notikumiem balstīta tirdzniecībaTehniskie indikatori
MQL5 articles

This article explains how an MQL5 Expert Advisor can send trade events to a local HTTP server through WinINet. OnTradeTransaction serializes opens and closes as JSON and places them in an in-memory queue; a timer callback attempts delivery separately so…

Rīkojumu izpildeTirgus mikrostruktūra
MQL5 articles

This MQL5 tutorial adapts an existing expert advisor into a framework for a Triple Screen system. It uses moving averages on three configurable timeframes, with example defaults of weekly, daily, and four-hour screens. Each screen can be disabled by setting…

Tehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaude
MQL5 articles

The article outlines a multi-symbol expert advisor that tracks a two-hour price range for each selected instrument, from 10:00 to 12:00 UTC+2. After the range closes, an upside break can trigger a buy when the Stochastic reading is at or below 20; a downside…

Valūtu tirgusCenas izrāviensTehniskie indikatoriRiska pārvaldība
MQL5 articles

This guide explains how to prepare a requirements specification for a custom trading indicator. It recommends defining the indicator’s purpose first, then describing its calculations and behavior as an ordered sequence of steps. Terms should be explicitly…

Tehniskie indikatoriRīkojumu izpilde
MQL5 articles

The article shows how to move repeated order lookup and state management out of an expert advisor and into reusable functions. For a single position, the example scans open orders for a matching symbol and magic number, then stores the selected order’s…

Rīkojumu izpildeTehniskie indikatoriVēsturisko datu pārbaude
MQL5 articles

The article proposes a nonlinear regression equation for forecasting prices from two prior observations. Its seven terms combine linear and squared price inputs, a difference representing momentum, a sine component intended to capture cycles, and a constant.…

AkcijasMašīnmācīšanāsStatistikaVēsturisko datu pārbaude
MQL5 articles

The article outlines a multi-symbol Expert Advisor that evaluates mean-reversion and momentum signals separately for each instrument. It calculates a Z-score from price relative to a moving average and standard deviation, and measures momentum as a price…

Valūtu tirgusAtgriešanās pie vidējās vērtībasCenas impulssStatistika
MQL5 articles

The article describes a MetaTrader Expert Advisor for finding and marking common single, double, and triple candlestick patterns. Users can search for one named formation or scan all supported patterns over a selected historical window. A chart panel…

Tehniskie indikatoriValūtu tirgusVēsturisko datu pārbaudeTirgus noskaņojums
MQL5 articles

The article explains how the Goertzel algorithm computes selected discrete Fourier transform frequencies efficiently, making it an option when only a limited range of cycle periods is of interest. It describes a class that scans periods, returns real and…

StatistikaTehniskie indikatoriValūtu tirgusRiska pārvaldība
MQL5 articles

The article presents a Python-to-MQL5 workflow for selecting technical indicators using FXI, an ETF tracking large-cap Chinese equities. It segments four-hour price history into quarterly windows to compare candidate indicators across changing volatility,…

Ķīnas tirgiAkcijasTehniskie indikatoriStatistika
MQL5 articles

The article describes an MQL5 Expert Advisor for a session range breakout strategy. It defines the range using the high and low from midnight to 6 AM, then looks for a breakout during a later time window. A Break of Structure confirmation, based on price…

Valūtu tirgusCenas izrāviensTehniskie indikatoriRiska pārvaldība
MQL5 articles

The document presents a way to make trading forecasts more interpretable by translating fitted machine-learning models into algebraic expressions. Its example uses technical features derived from price bars, including returns, volatility, RSI, MACD, and…

MašīnmācīšanāsStatistikaTehniskie indikatoriValūtu tirgus
MQL5 articles

This article describes incorporating an adapter-tuned GPT-2 model into a MetaTrader Expert Advisor for trading decisions. It compares three deployment approaches: converting the model to ONNX for in-platform inference, launching Python scripts from the EA,…

MašīnmācīšanāsValūtu tirgusVēsturisko datu pārbaudeRīkojumu izpilde
MQL5 articles

The document explains a MetaTrader indicator design for keeping chart drawings consistent across multiple windows of the same symbol. A user selects a base timeframe, and the system assigns other open charts to a predefined set of timeframes. Chart events…

Tehniskie indikatori
MQL5 articles

The document describes an MQL5 chart indicator that combines two WaveTrend oscillator configurations. A faster setup detects crossovers for potential buy or sell signals, while a slower setup indicates the broader trend and can filter out signals that run…

Tehniskie indikatoriCenas impulssSekošana tendencei
MQL5 articles

This programming tutorial develops MQL5 array concepts through examples involving memory use, enumerations, and data representation. It explains that the number of array elements differs from the memory footprint when element types occupy more than one byte,…

Rīkojumu izpilde
MQL5 articles

The document explains Artificial Cooperative Search, a population-based optimization method inspired by cooperative and predator–prey interactions. It maintains two candidate populations, selects one as predators and another as prey, shuffles prey solutions,…

MašīnmācīšanāsStatistikaVēsturisko datu pārbaude
MQL5 articles

The document describes an MQL5 Expert Advisor that uses automatically detected swing highs and lows to calculate Fibonacci retracement levels and projected extension targets. It focuses on a retracement entry, typically at 61.8%, and uses swing structure to…

Tehniskie indikatoriRiska pārvaldībaRīkojumu izpildePozīcijas apjoma noteikšana
MQL5 articles

This article develops code and a visual test bench for generating and inspecting random values from uniform, Gaussian, power-law, and Lévy-style distributions. Its focus is how distribution shape, finite bounds, and a selected center affect the likelihood of…

StatistikaMašīnmācīšanāsVēsturisko datu pārbaude
MQL5 articles

The article presents a MetaTrader 5 dashboard that combines structural direction from several timeframes into a normalized Harmony Index ranging from bearish to bullish. Each enabled timeframe receives a bias based on a three-bar staircase rule, with…

Valūtu tirgusTehniskie indikatoriSekošana tendenceiRīkojumu izpilde
MQL5 articles

This installment extends a MetaTrader 5 library that stores historical timeseries for multiple symbols and periods. Its central problem is keeping non-chart symbols current without repeatedly refreshing every series on a timer, which wastes work when no…

Valūtu tirgusTirgus mikrostruktūraRīkojumu izpilde
MQL5 articles

The article describes a Python library that mirrors several MQL5 Standard Library trade classes for use with the MetaTrader 5 Python package. It outlines wrappers for account, symbol, order, history, position, deal, and terminal information, along with a…

Rīkojumu izpildeValūtu tirgus
MQL5 articles

The article describes a chart tool for manually marking swing points and automatically drawing related Wolfe Wave guides. In the example buy setup, the trader identifies points 1 through 4, checks their relative positions, and projects a possible fifth point…

Tehniskie indikatoriSekošana tendenceiRīkojumu izpilde