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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
WonderTrader
Dokumentu skaits: 14
Alphalens
Dokumentu skaits: 14
backtesting.py
Dokumentu skaits: 11
Technical Analysis
Dokumentu skaits: 9
QTPyLib
Dokumentu skaits: 8
Lumibot strategies
Dokumentu skaits: 7
QuantRocket
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 511

QuantInsti blog

This introduction explains why financial prices are modeled as stochastic processes rather than deterministic functions. It reviews the calculus chain rule, distinguishes deterministic and random processes, and introduces Brownian motion through the analogy…

AkcijasSvārstīgumsStatistika
QuantInsti blog

The article surveys ways to choose trade size, beginning with account risk, the amount of capital exposed to loss, and trade risk, the distance between entry and a stop. It contrasts fixed units, fixed dollar amounts, fixed percentages of account value, and…

Pozīcijas apjoma noteikšanaRiska pārvaldībaPortfeļa veidošanaVēsturisko datu pārbaude
QuantInsti blog

The article explains why raw datasets need cleaning and transformation before machine learning, with examples framed around trading data. It discusses missing values, outliers, categorical features, inconsistent date formats, and overfitting. Suggested…

MašīnmācīšanāsStatistikaTehniskie indikatoriVēsturisko datu pārbaude
QuantInsti blog

A fill-or-kill order is described as a limit order that must be executed immediately for the full requested quantity or cancelled entirely. It does not permit a partial execution. The document contrasts this behavior with immediate-or-cancel and all-or-none…

Rīkojumu izpildeTirgus mikrostruktūraNākotnes līgumi
QuantInsti blog

The document introduces live trading as placing real orders in current markets, and distinguishes it from simulated practice. It surveys day trading, swing trading, momentum, breakout trading, and scalping, describing their typical holding periods or entry…

Rīkojumu izpildeRiska pārvaldībaVēsturisko datu pārbaudeTehniskie indikatori
QuantInsti blog

The document argues that strategies should be evaluated as components of an investment portfolio, rather than judged only as standalone systems. Standard measures such as CAGR, Sharpe ratio, and maximum drawdown summarize performance but do not show the…

StatistikaPortfeļa veidošanaRiska pārvaldība
QuantInsti blog

The article explains why implied volatility can vary across option strike prices instead of remaining flat as in the Black-Scholes-Merton model. It attributes the smile partly to real asset returns having more extreme moves than a lognormal model predicts,…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšanaStatistika
QuantInsti blog

This project describes a stock pairs strategy that periodically selects candidate pairs based on whether their price spread appears stationary. It estimates a hedge ratio with linear regression, forms a spread, and applies an Augmented Dickey-Fuller test to…

AkcijasPāru tirdzniecībaAtgriešanās pie vidējās vērtībasStatistika
QuantInsti blog

The document introduces the Johansen cointegration test as a way to assess long-run relationships among several time series. It explains that the trace and maximum eigenvalue tests use eigenvalues to estimate the number of cointegrating relationships, and…

StatistikaAtgriešanās pie vidējās vērtībasPāru tirdzniecībaAkcijas
QuantInsti blog

The document is an outline for a webinar introducing machine learning in quantitative finance. It lists an overview of machine learning and its workflow, features of the Quantiacs toolkit, and a demonstration applying machine learning to futures data. The…

Nākotnes līgumiMašīnmācīšanāsVēsturisko datu pārbaude
QuantInsti blog

The document describes a simple trend-following system built with linear regression. It introduces ordinary least squares and explains rolling regression as fitting a model repeatedly using a recent window of candles. In the example, the model relates each…

AkcijasMašīnmācīšanāsStatistikaSekošana tendencei
QuantInsti blog

The document outlines how to build and tune an indicator-based trading strategy. It explains selecting indicators that fit a trading approach, learning their signals and limits, defining rules, testing parameters on historical data, and monitoring the…

AkcijasTehniskie indikatoriCenas impulssVēsturisko datu pārbaude
QuantInsti blog

This guide compares free and paid sources of financial data by access method, asset coverage, and availability of intraday, daily, fundamental, and news information. It recommends choosing a provider according to data accuracy, latency, historical depth,…

Vēsturisko datu pārbaudeStatistikaAkcijasNākotnes līgumi
QuantInsti blog

This event overview outlines advanced algorithmic trading topics covered in a two-day NSE management program for financial institution leaders and experienced practitioners. Its strategy survey includes high-frequency trading, market making, structural and…

Augstas frekvences tirdzniecībaArbitrāžaAtgriešanās pie vidējās vērtībasCenas impulss
QuantInsti blog

Time-weighted average price (TWAP) is presented as an execution approach for dividing a large order into smaller trades scheduled across a chosen period. The article illustrates this with alternative schedules for buying 10,000 shares and notes that varying…

Rīkojumu izpildeTirgus mikrostruktūraAkcijas
QuantInsti blog

The article outlines the development of the Fama-French five-factor asset-pricing model from CAPM and the three-factor model. Alongside market, size, and value effects, the five-factor version adds profitability and investment. The article frames these…

AkcijasFaktoru ieguldīšanaStatistika
QuantInsti blog

This beginner guide explains how to install the TA-Lib Python library across Windows, macOS, and Linux. It recommends using a Conda environment where possible and outlines platform-specific steps, including checking the Python version and system architecture…

Tehniskie indikatoriAkcijas
QuantInsti blog

This project describes a long-only strategy that seeks to capture overnight price gaps in Indian equities. It enters at the close after a session with a larger true range than the previous session, a positive close-to-open move, and a daily change within a…

AkcijasCenas impulssSvārstīgumsVēsturisko datu pārbaude
QuantInsti blog

The article defines market inefficiency as a divergence between an asset’s traded price and its fair value, and links such gaps to crises, earnings information, speculation, and delayed investor reactions. It uses the dotcom boom and the U.S. housing and…

ArbitrāžaAtgriešanās pie vidējās vērtībasUz notikumiem balstīta tirdzniecībaTirgus noskaņojums
QuantInsti blog

Expected Shortfall (ES), also called Conditional Value at Risk, measures the average loss in the tail beyond a chosen Value at Risk (VaR) threshold. The article explains the distinction: VaR identifies a loss cutoff at a confidence level, while ES estimates…

Riska pārvaldībaStatistikaPortfeļa veidošana
QuantInsti blog

The document outlines a daily sentiment-based strategy for China A-share stocks using posts from recognized financial accounts on Weibo. It proposes collecting posts during the pre-market period, considering four actively discussed sectors, and identifying a…

Ķīnas tirgiAkcijasTirgus noskaņojumsRīkojumu izpilde
QuantInsti blog

The article presents a simplified Turtle-style strategy coded for equities. It enters long when the close exceeds a recent rolling high and short when it falls below a rolling low, then exits when price crosses a rolling mean. Signals are carried forward to…

AkcijasSekošana tendenceiCenas izrāviensVēsturisko datu pārbaude
QuantInsti blog

The article explains Gini impurity as a measure of class mixing in a decision tree node. It gives the formula one minus the sum of squared class probabilities, then describes evaluating a candidate feature by calculating each resulting branch’s impurity and…

MašīnmācīšanāsStatistikaAkcijas
QuantInsti blog

The article introduces Bitcoin’s public blockchain, mining, capped issuance, and wallet transactions, then connects these features to ransomware payments and Bitcoin’s appeal as a tradable asset. It frames price as primarily demand-driven and names…

KriptoaktīviTūlītējo darījumu tirgiTirgus noskaņojumsSvārstīgums