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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
Quantopian lekcijas
Dokumentu skaits: 45
Binance API docs
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: 3,481

BigQuant

This study examines how factor exposure limits affect optimized portfolios built around the CSI 300 and CSI 500 indices. It reports that raising the limits can increase excess returns, drawdowns, and tracking error, so the change in return relative to the…

Faktoru ieguldīšanaPortfeļa veidošanaRiska pārvaldībaĶīnas tirgi
BigQuant

This brief question and answer discusses how to choose moving-average pairs and crossover rules for a dual moving-average strategy applied to an individual stock or fund. It lists comparisons among several simple moving-average windows and asks which…

AkcijasTehniskie indikatoriVēsturisko datu pārbaudeStatistika
BigQuant

This note describes two stock selection approaches, XGBoost and StockRank, using the same five inputs: ranked dividend yield, market capitalization, closing price, a 20-period price ratio, and average turnover. It also gives example hyperparameter…

AkcijasMašīnmācīšanāsFaktoru ieguldīšanaVēsturisko datu pārbaude
BigQuant

The document outlines a simple stock market study of whether shares that rise more than 1% on each of three consecutive days are more likely to gain the next day. It defines a signal for that three-day run and a next-day return outcome, then calculates…

AkcijasCenas impulssStatistikaVēsturisko datu pārbaude
BigQuant

This research summary studies mainland Chinese stocks held through the Hong Kong–mainland Connect programs. It compares the holdings’ industry and Barra-style factor exposures with the CSI 300 and CSI 500, then tests the proportion of a stock held by…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaVēsturisko datu pārbaude
BigQuant

The report describes a sector-rotation framework that pairs quantitative clustering with macroeconomic reasoning. It first groups industries using features such as returns across market conditions, return on equity, and revenue growth, then makes limited…

AkcijasVairāku aktīvu tirdzniecībaMašīnmācīšanāsStatistika
BigQuant

This weekly review compares equity style factors across broad Chinese stock pools and major index constituents. It reports that size and beta performed relatively well during the week, while profitability and financial quality remained strong. Results for…

AkcijasĶīnas tirgiFaktoru ieguldīšanaStatistika
BigQuant

This report studies factor performance within the SSE 50 rather than across the full market, arguing that analysis by investment universe can reveal patterns hidden by broad aggregate tests and can inform index enhancement or Smart Beta portfolios. It tests…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaPortfeļa veidošana
BigQuant

This study tests whether hedge funds can time returns in particular industries and whether that ability predicts later performance. It estimates industry timing using rolling regressions on market-adjusted industry returns, then evaluates the resulting…

AkcijasFaktoru ieguldīšanaStatistikaUz notikumiem balstīta tirdzniecība
BigQuant

This BigQuant forum thread discusses whether rolling parameter optimization can run in simulated trading and whether newly optimized parameters are automatically applied to a strategy. Replies say that rolling optimization can work in simulated trading,…

Vēsturisko datu pārbaudeMašīnmācīšanās
BigQuant

The author describes a stock reversal approach based on a prior limit-up move followed by a pullback, with a bullish candle engulfing a bearish one as a defining pattern. A proposed variation focuses on a leading stock's first bearish session and subsequent…

AkcijasAtgriešanās pie vidējās vērtībasMašīnmācīšanāsAugstas frekvences tirdzniecība
BigQuant

This document introduces a lecture on deep reinforcement learning by researcher Matteo Hessel. It says the session discusses practical considerations and algorithms, along with implementing them using automatic differentiation tools such as JAX. The subject…

Mašīnmācīšanās
BigQuant

The article explains the price-to-earnings ratio as a way to relate a stock’s price to its earnings per share. It illustrates that two shares with the same price can have very different P/E ratios when their earnings differ, and describes the ratio…

AkcijasĶīnas tirgiFaktoru ieguldīšanaStatistika
BigQuant

The document summarizes research on long-horizon rotation between large-cap, high-ROE sectors and smaller-cap sectors. It argues that their relative performance can shift over periods of years, and that size-based and ROE-based rotations may move together.…

AkcijasĶīnas tirgiStatistikaFaktoru ieguldīšana
BigQuant

This article outlines a method for anticipating business conditions in three Chinese consumer sectors: food and beverages, textiles and apparel, and retail. It treats financial measures such as revenue, net income, returns, margins, and operating efficiency…

AkcijasFaktoru ieguldīšanaStatistikaVēsturisko datu pārbaude
BigQuant

This report outlines a CANSLIM-inspired stock-selection model adapted to China’s A-share market. It first identifies price bases, including cup-and-handle, double-bottom, and butterfly patterns, then combines these setups with fundamental and technical…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
BigQuant

This Q&A compilation collects practitioner questions about developing, combining, and deploying quantitative strategies. Topics include variation between XGBoost rolling-training backtests, selecting and evaluating factors and models, overlapping holdings…

MašīnmācīšanāsStatistikaRiska pārvaldībaPortfeļa veidošana
BigQuant

This report surveys U.S.-listed growth-factor ETFs, describing their number, assets, growth over time, and return characteristics. It groups the funds by market-cap segment and notes that the strongest recent absolute performers were mostly large-cap…

AkcijasFaktoru ieguldīšanaASV tirgiPortfeļa veidošana
BigQuant

This single-stock strategy builds upper and lower price bands from the previous 20 days of closing prices, using the mean plus or minus two standard deviations. It enters when the close rises above the upper band and exits when the close falls below the…

AkcijasCenas izrāviensSvārstīgumsVēsturisko datu pārbaude
BigQuant

This article recounts the 2022 nickel market crisis involving Tsingshan, Glencore, and the London Metal Exchange. It uses a simplified commodity-delivery analogy to explain how a seller with a large short futures position may face stress when prices surge…

IzejvielasNākotnes līgumiRiska pārvaldībaTirgus mikrostruktūra
BigQuant

The document answers a question about retrieving one company metric, such as management expenses, for multiple stocks. It points readers to a platform template for choosing the metric and explains that a code-list module can be used to enter the stock codes…

AkcijasĶīnas tirgiFaktoru ieguldīšana
BigQuant

This Chinese equity strategy combines two types of candidates: stocks in the top 30% by return over the prior 120 trading days, and stocks in the bottom 10% by performance over the prior 30 days. A candidate must also have net inflows from very large orders…

AkcijasĶīnas tirgiCenas impulssAtgriešanās pie vidējās vērtības
BigQuant

This tutorial explains the skip-gram model as a neural network trained to predict a nearby word from a chosen input word. Training examples are word pairs drawn from a configurable context window. The input word is represented as a one-hot vector, and a…

MašīnmācīšanāsStatistika
BigQuant

The discussion concerns a visual trading workflow where an earlier filter can return no rows for a given day, causing a later rolling sequence window module to fail. One response explains that an empty input cannot be processed by that module as configured…

AkcijasVēsturisko datu pārbaudeRīkojumu izpilde