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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

The article outlines a historical testing framework inspired by Larry Williams to examine whether candle outcomes depend on recent price behavior. It proposes eight tests: the overall bullish-close rate, bullish outcomes after runs of bearish or bullish…

StatistikaTehniskie indikatoriVēsturisko datu pārbaudeCenas impulss
MQL5 articles

The article describes an MQL5 Expert Advisor designed to enforce account and trading limits rather than generate entry signals. Its proposed controls include daily, weekly, and monthly profit or loss thresholds, position size and exposure limits,…

Riska pārvaldībaPozīcijas apjoma noteikšanaRīkojumu izpildeVēsturisko datu pārbaude
MQL5 articles

The article presents a historical study of daily stock gaps, asking whether price tends to continue in the gap direction or reverse afterward. It describes an MQL5 workflow that gathers symbols by market group, saves symbol lists, retrieves each instrument’s…

AkcijasStatistikaVēsturisko datu pārbaudeCenas izrāviens
MQL5 articles

The article introduces functors as mappings between categories that preserve objects, relationships, composition, and identity. It applies this framing to daily tide observations from Monterey, California, and NASDAQ volatility data, proposing that one…

AkcijasSvārstīgumsStatistikaMašīnmācīšanās
MQL5 articles

The article reviews Ichimoku Kinko Hyo’s components and trading interpretations, then gives a chart-based method for setting parameters for both standard Ichimoku and an alternative cloud indicator. Tenkan-sen and Kijun-sen are calculated from midpoint…

Valūtu tirgusTehniskie indikatoriSekošana tendencei
MQL5 articles

The article translates Larry Williams’ volatility breakout idea into an automated trading system. At the start of each day, the system measures the previous session’s high-low range, then places potential entry levels above and below today’s open using…

Cenas izrāviensSvārstīgumsSekošana tendenceiRiska pārvaldība
MQL5 articles

The article explains how fuzzy logic can soften rigid trading rules by assigning indicator values degrees of membership in linguistic groups such as buy, neutral, and sell. It contrasts this approach with crisp logic and sketches the stages of fuzzy…

Valūtu tirgusTehniskie indikatoriMašīnmācīšanāsVēsturisko datu pārbaude
MQL5 articles

The article presents a MetaTrader 5 trading system based on PatchTST, a transformer-style model that divides time series into patches to represent local patterns while modeling relationships across a longer history. Its described input uses normalized price…

MašīnmācīšanāsValūtu tirgusVēsturisko datu pārbaudeStatistika
MQL5 articles

This article describes MQL5 components for generating detailed trading reports to support an automated walk-forward optimizer. Since an Expert Advisor cannot directly access the strategy tester's full optimization data, the approach downloads and processes…

Vēsturisko datu pārbaudeRiska pārvaldībaStatistikaRīkojumu izpilde
MQL5 articles

The article explains the Market Facilitation Index (MFI) as a measure of price movement relative to volume, emphasizing changes between adjacent bars rather than absolute indicator levels. It classifies bars by whether MFI and volume rise or fall together:…

Tehniskie indikatoriValūtu tirgusCenas impulssSekošana tendencei
MQL5 articles

The article turns Larry Williams’ Hidden Smash Day pattern into explicit Expert Advisor rules. A setup is identified on a completed bar, then requires the next bar to close beyond the setup bar’s high for a long or below its low for a short. The EA reads…

Tehniskie indikatoriSekošana tendenceiSvārstīgumsRiska pārvaldība
MQL5 articles

This installment explains a substantial refactor of an MQL5 Expert Advisor to support user-selected chart templates, subwindows, and floating windows while retaining existing trading functionality. It describes tracking template changes during initialization…

Rīkojumu izpildeTirgus mikrostruktūra
MQL5 articles

The article describes an MQL5 trading model that combines neural-network training with Markov market-state labels, a 256-dimensional state-space model, and mechanisms named resonance, interference, and decoherence. It describes inputs spanning prices,…

MašīnmācīšanāsStatistikaTehniskie indikatoriVēsturisko datu pārbaude
MQL5 articles

The article explains how to build an MQL5 Expert Advisor signal module around a custom indicator model by subclassing the standard signal base class and implementing its settings, indicator initialization, and long and short condition methods. It uses MACD…

Tehniskie indikatoriCenas impulssValūtu tirgus
MQL5 articles

This article presents a practical framework for deciding when to move MQL5 calculations from the CPU to a GPU through OpenCL. It identifies batch workloads with many similar, independent operations—such as parameter optimization, hypothesis testing, pattern…

MašīnmācīšanāsStatistikaVēsturisko datu pārbaude
MQL5 articles

The article walks through implementing a custom Heiken Ashi indicator in MQL5 and calling it from Expert Advisors. It describes the smoothed candle calculations: the open uses the prior Heiken Ashi open and close, the close averages the current period's…

Tehniskie indikatoriValūtu tirgusVēsturisko datu pārbaude
MQL5 articles

The article explains how to extend an MQL5 drawing palette with cursor-focused chart inspection tools. Its crosshair manager coordinates canvas layers for reticle ticks, full-chart horizontal and vertical lines, and price and time labels at the axes. A…

Tehniskie indikatoriRīkojumu izpilde
MQL5 articles

The article presents an unsupervised Isolation Forest monitor for execution quality, built natively in MQL5 and attached to trade transaction events. Each confirmed fill is represented by features for slippage, request-to-fill latency, spread at execution,…

MašīnmācīšanāsRīkojumu izpildeRiska pārvaldībaStatistika
MQL5 articles

This installment describes a modular framework for managing supply and demand zones as stateful objects. Its decision pipeline evaluates automatically detected candidates, monitors accepted zones as they age and interact with price, then resolves pending…

Tehniskie indikatoriCenas izrāviensAtgriešanās pie vidējās vērtībasRiska pārvaldība
MQL5 articles

The article explains RSI as a bounded momentum oscillator, outlines its calculation from average upward and downward price changes, and describes how its readings may behave in uptrends, downtrends, and sideways markets. It gives a worked calculation using a…

Tehniskie indikatoriCenas impulssSekošana tendenceiAtgriešanās pie vidējās vērtības
MQL5 articles

The article describes an MQL5 dashboard that estimates the relative strength of major currencies from percentage changes across the pairs in which each currency appears. It computes changes over lookback windows on M15, H1, and H4, reverses the sign when the…

Valūtu tirgusVairāku aktīvu tirdzniecībaTehniskie indikatori
MQL5 articles

The article introduces the Commodity Channel Index as a momentum oscillator that compares typical price with its moving average relative to mean deviation. It walks through the calculation and a worked example, then proposes two families of rules: use…

Tehniskie indikatoriCenas impulssCenas izrāviens
MQL5 articles

The article explains how to use MetaTrader 5’s native SQLite support to store and analyze trading and optimization data. It demonstrates creating tables, inserting records, preparing and reading queries, binding results to structures, managing transactions,…

StatistikaVēsturisko datu pārbaudePortfeļa veidošana
MQL5 articles

The article explains how to create an MQL5 oscillator by calculating price momentum as the difference between a close and the close a chosen number of bars earlier, then smoothing that series with a Hull Moving Average. The HMA is constructed from fast and…

Tehniskie indikatoriCenas impulssValūtu tirgus