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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: 511

QuantInsti blog

This introductory tutorial explains how Python represents and manipulates collections of values. It covers zero-based indexing, slicing with exclusive end positions, and negative indices, then introduces arrays, tuples, lists, dictionaries, and sets.…

Akcijas
QuantInsti blog

The guide distinguishes statistical independence, correlation, and cointegration, concepts that are often confused when assessing diversification and trading relationships. Independence means observing one variable does not change the probability…

StatistikaAtgriešanās pie vidējās vērtībasPāru tirdzniecībaPortfeļa veidošana
QuantInsti blog

The document is a brief event report about a talk on quantitative news trading at a Princeton–UChicago quantitative trading conference. The speaker’s topic was how news articles can be quantified and whether trading strategies based on news analytics can be…

Tirgus noskaņojumsUz notikumiem balstīta tirdzniecībaStatistika
QuantInsti blog

This interview profile describes a trader and strategy researcher’s plan to help establish a high-frequency trading desk within a broader systematic trading fund. The intended focus is short holding periods in Asian and European markets, drawing on machine…

Augstas frekvences tirdzniecībaMašīnmācīšanāsStatistikaAtgriešanās pie vidējās vērtības
QuantInsti blog

This interview presents a quantitative analyst’s path from engineering and statistics studies into quantitative finance, including work in high-frequency trading, banking, and strategy research. Its central lesson is to research markets carefully before…

Augstas frekvences tirdzniecībaMašīnmācīšanāsVēsturisko datu pārbaudeTirgus mikrostruktūra
QuantInsti blog

The document explains the Aroon indicator’s two components, Aroon Up and Aroon Down, which track how recently a period’s highest high and lowest low occurred. It gives a lookback-based calculation and shows that the resulting values are expressed as…

KriptoaktīviTehniskie indikatoriSekošana tendenceiRiska pārvaldība
QuantInsti blog

This project describes an intraday Nifty strategy using five-minute data, a 200-period simple moving average, and a 50-period exponential moving average. It takes long or short positions when the index closes beyond both averages, with no position when the…

Nākotnes līgumiOpcijasSekošana tendenceiTehniskie indikatori
QuantInsti blog

This guide explains the long-short equity approach: buying stocks expected to outperform and shorting those expected to underperform. It distinguishes general long-short portfolios from market-neutral funds, which seek to offset broad market exposure, and…

AkcijasPortfeļa veidošanaRiska pārvaldībaVēsturisko datu pārbaude
QuantInsti blog

This project describes a daily trend-following strategy for liquid Nifty 50 stocks, taking both long and short positions. MACD and SuperTrend generate directional signals: MACD crossovers can provide quicker entries, while SuperTrend helps identify the…

AkcijasSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
QuantInsti blog

The document introduces Bayesian classification and applies a Bernoulli Naive Bayes model to a long-only stock trading example. The features are binary signals derived from RSI and the stochastic oscillator; the target labels whether the following day's…

MašīnmācīšanāsStatistikaTehniskie indikatoriVēsturisko datu pārbaude
QuantInsti blog

The document outlines a framework for deciding whether to expand algorithmic trading into another country or exchange. It groups the assessment into four considerations: market access and regulation, the technical requirements for connectivity, traded…

Vairāku aktīvu tirdzniecībaTirgus mikrostruktūraRīkojumu izpilde
QuantInsti blog

The article explains latency as the time required for data and orders to move through a trading system, distinguishing it from bandwidth or capacity. It compares a traditional workflow, where market data passes through a broker to a trader’s tools before…

Rīkojumu izpildeTirgus mikrostruktūraAugstas frekvences tirdzniecībaRiska pārvaldība
QuantInsti blog

The article introduces several ways to allocate weights in a multi-asset portfolio: equal weighting, risk parity, minimum variance, and Markowitz mean-variance optimization. It describes the intuition behind each method, including equal risk contributions in…

Portfeļa veidošanaStatistikaRiska pārvaldībaAkcijas
QuantInsti blog

The project backtests a mechanical strategy of selling an at-the-money SPY straddle each week, using options with roughly 45–60 days to expiry and holding each position until expiration. It describes sourcing option prices, matching entry dates with expiries…

OpcijasSvārstīgumsVēsturisko datu pārbaudeRiska pārvaldība
QuantInsti blog

The article introduces probability as a way to reason about uncertain market outcomes. It explains event probabilities using analyst forecasts, distinguishes subjective judgments from estimates based on historical observation, and gives the rules that…

StatistikaAkcijasRiska pārvaldība
QuantInsti blog

The article argues that a backtest should approximate live trading conditions rather than maximize the appearance of historical returns. It recommends including commissions and slippage, with estimates adjusted to the instrument and checked against actual…

Vēsturisko datu pārbaudeRīkojumu izpildeRiska pārvaldībaNākotnes līgumi
QuantInsti blog

The article introduces Ethereum as a blockchain platform for running smart contracts and decentralized applications. It explains Ether and gas, the Ethereum Virtual Machine, and examples of applications in decentralized finance and autonomous organizations.…

KriptoaktīviTehniskie indikatoriCenas impulssDeFi
QuantInsti blog

The article outlines a process for turning a market hypothesis into a live systematic strategy. It starts with a rule, such as buying when price is above an N day moving average, then uses backtesting to choose parameters such as the lookback period, stop…

Vēsturisko datu pārbaudeRiska pārvaldībaStatistikaTehniskie indikatori
QuantInsti blog

The article describes a one day seasonal trade in the S&P 500: enter at the close on the US federal tax deadline and exit at the following day’s close. It cites research reporting an average annual return of about 0.5% since 1980, with less attractive…

AkcijasASV tirgiUz notikumiem balstīta tirdzniecība
QuantInsti blog

This project describes a cloud based automated system for WTI futures that uses machine learning to classify market conditions as trending or ranging. Several models vote within separate trend and range groups; when the groups disagree, their confidence…

Nākotnes līgumiMašīnmācīšanāsSekošana tendenceiAtgriešanās pie vidējās vērtības
QuantInsti blog

The article explains how to adapt Zipline’s CSV directory bundle to ingest daily Yahoo Finance files for a chosen market. It presents the bundle as an ETL pipeline: read files, normalize fields and dates, align records with a trading calendar, then write the…

AkcijasVēsturisko datu pārbaude
QuantInsti blog

This interview follows Xavier, an Australian IT architect with engineering and computer science training, as he moves from market research and investing to day trading and an interest in building an algorithmic trading desk. He describes exploring company…

Vēsturisko datu pārbaudeRiska pārvaldībaIzejvielasAkcijas
QuantInsti blog

This roundup introduces a range of options topics through summaries of ten articles and several additional strategy guides. It describes options as tools for transferring risk and outlines strategies such as butterflies, spreads, straddles, and calendar…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
QuantInsti blog

This article describes India’s securities regulator, SEBI, considering new algorithmic trading rules. The proposed measures discussed include reducing high order-to-trade ratios, discouraging orders submitted without intent to execute, and potentially…

Tirgus mikrostruktūraRiska pārvaldībaRīkojumu izpilde