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Library ng kaalaman

Mga buod at mahahalagang ideyang isinulat ng research agent ng Stratmill tungkol sa mga aklat, papel, artikulo at code na binasa ng aming mga AI agent. May link sa orihinal sa bawat pahina.

Quant Q&A
20,364 na dokumento
SuperMind
12,226 na dokumento
OKX Learn
8,431 na dokumento
Strategy library
7,910 na dokumento
MQL5 code base
7,090 na dokumento
BigQuant
3,481 na dokumento
Bitget Academy
3,298 na dokumento
MQL5 articles
3,012 na dokumento
TradingView scripts
1,976 na dokumento
ProRealCode
1,507 na dokumento
Deribit Insights
1,232 na dokumento
Machine Learning for Trading
1,124 na dokumento
arXiv papers
1,033 na dokumento
Amberdata research
766 na dokumento
FMZ forum
682 na dokumento
FMZ digest
662 na dokumento
vn.py community
560 na dokumento
QuantInsti blog
511 na dokumento
Galaxy Research
340 na dokumento
QuantStart
246 na dokumento
Stratmill research code
219 na dokumento
Robot Wealth
195 na dokumento
NautilusTrader
191 na dokumento
Hummingbot docs
181 na dokumento
Paradigm research
175 na dokumento
Lumibot
164 na dokumento
Kraken Learn
163 na dokumento
Library ng mga kurso sa quant
157 na dokumento
OctoBot
152 na dokumento
Cryptohopper blog
144 na dokumento
Systematic trading blog (Rob Carver)
132 na dokumento
Qlib
116 na dokumento
TqSdk
86 na dokumento
Quantpedia
86 na dokumento
Hyperliquid docs
79 na dokumento
Freqtrade
68 na dokumento
Hudson & Thames
62 na dokumento
Awesome Systematic Trading
61 na dokumento
backtrader
54 na dokumento
vn.py
50 na dokumento
Binance API docs
45 na dokumento
Mga lecture ng Quantopian
45 na dokumento
FMZ guides
38 na dokumento
pysystemtrade
34 na dokumento
Freqtrade docs
32 na dokumento
quant-trading
31 na dokumento
FinRL
28 na dokumento
Zipline
22 na dokumento
FMZ live strategies
21 na dokumento
Jesse
17 na dokumento
pyfolio
16 na dokumento
Alphalens
14 na dokumento
WonderTrader
14 na dokumento
backtesting.py
11 na dokumento
Technical Analysis
9 na dokumento
QTPyLib
8 na dokumento
QuantRocket
7 na dokumento
Lumibot strategies
7 na dokumento
Awesome Quant
1 na dokumento

Maghanap sa library

3,481 na dokumento

BigQuant

The document presents a framework for deciding whether a candidate multifactor strategy adds value beyond a small set of investable reference factors, called elementary smart betas. It models each candidate through its exposures to those factors and its…

Pamumuhunan batay sa mga factorPagbuo ng portfolioPamamahala ng panganibMaraming asset
BigQuant

This commentary reviews the Chinese quantitative-investing environment in 2022 and presents a private manager’s expectations for 2023. It attributes a difficult path to excess returns to weak trading activity and rapid shifts in market style, alongside a…

Mga merkado sa ChinaMaraming assetMachine learningPamamahala ng panganib
BigQuant

This weekly report compares artificial intelligence stock-selection portfolios across broad A-share universes, industry-neutral portfolios, and portfolios restricted to the CSI 300 or CSI 500. It names XGBoost, support vector machines, random forests,…

Mga merkado sa ChinaMga equityMachine learningBacktesting
BigQuant

The document presents a Chinese A-share backtest question: after selling a holding at the open, a daily-frequency strategy places a purchase near the close but buys only a small amount. The author wonders whether the simulator updates available cash only on…

Mga equityBacktestingPagpapatupad ng tradePagtatakda ng laki ng posisyon
BigQuant

The study defines an earnings surprise by comparing reported results from forecasts, flash reports, or periodic filings with analyst consensus net profit estimates from the day before the announcement. For nonannual reports, it estimates full-period…

Mga equityNakabatay sa mga kaganapanEstadistikaBacktesting
BigQuant

This brief literature note introduces a VaR-augmented Black-Litterman approach for constructing an absolute-return fund-of-funds portfolio with market-risk controls. The described formulation incorporates value-at-risk alongside practical trading…

Maraming assetPagbuo ng portfolioPamamahala ng panganibEstadistika
BigQuant

This research review examines whether mutual-fund outflows provide a clean measure of nonfundamental pressure on stock prices. It decomposes the MFFlow measure into components tied to the inverse of returns, the inverse of turnover, and relative fund selling…

Mga equityEstadistikaMicrostructure ng merkadoPamamahala ng panganib
BigQuant

The document explains that exchange-traded funds cannot be processed with the platform’s basic feature extraction module. The reported run shows the extractor failing to find a close-price field for the selected instruments, producing no feature rows and…

Mga equityMga merkado sa China
BigQuant

This Chinese-language report summary reviews the history and practice of machine learning in quantitative investing. It says that machine learning was used in the field during the early-1990s boom and that its applications continued in algorithmic trading…

Machine learningEstadistikaBacktestingPagpapatupad ng trade
BigQuant

This roundtable transcript gathers views from Chinese investment managers, researchers, and futures professionals on the development of quantitative investing. Participants discuss the tension among scale, returns, and risk; the challenge of declining or…

Maraming assetPamumuhunan batay sa mga factorMachine learningMicrostructure ng merkado
BigQuant

This study develops two equity factors from the relationship between intraday volatility and the return-to-volatility ratio. The “rebuilding” factor uses the daily covariance between that ratio and volatility to represent cases where volatility rises without…

Mga equityVolatilityPamumuhunan batay sa mga factorMga teknikal na indicator
BigQuant

This note discusses market style and public mutual fund positioning in Chinese equities. It compares the share of CSI 300 constituents within the broader CSI 800 universe, reporting that the share was 81% at the time of the note. It also cites two recent…

Mga equityMga merkado sa ChinaPagbuo ng portfolio
BigQuant

The document introduces multiple linear regression as a model relating one dependent variable to several explanatory variables, contrasting it with simple regression. It connects the method’s broad use in quantitative finance with the progression from the…

EstadistikaPamumuhunan batay sa mga factorMaraming asset
BigQuant

This brief request proposes a factor based on the correlation between a benchmark’s returns and an individual stock’s returns over a three-day window. It names the intended inputs and lookback, but provides no code, worked example, explanation of how to…

Mga equityEstadistikaPamumuhunan batay sa mga factor
BigQuant

This April 2020 market note reviews a sharp decline in Chinese equities amid weakening fundamentals and falling investor sentiment. It reports that large- and small-cap indexes had similar declines, while consumer and utility sectors held up better and…

Mga equityMga merkado sa ChinaPagbuo ng portfolioPamamahala ng panganib
BigQuant

This note explains how to handle low-frequency financial or analyst factors alongside daily price and volume factors when constructing nonlinear models. One approach is to merge monthly or quarterly fundamentals with daily market data and carry the latest…

Machine learningPamumuhunan batay sa mga factorEstadistikaBacktesting
BigQuant

This brief note describes a feature-selection exercise based on a random forest template. The author says they ranked 37 stock factors by random forest importance and retained the nine factors with the highest importance scores. The document does not…

Mga equityPamumuhunan batay sa mga factorMachine learningEstadistika
BigQuant

This Chinese-language research summary discusses forecasting stock-selection factor returns after commonly used factors became more volatile. It focuses on screening timing variables with Lasso and Elastic Net regression, then extending factor timing with…

Mga equityPamumuhunan batay sa mga factorMachine learningBacktesting
BigQuant

The post raises a backtesting concern: a user observes that a stock delisted on one date still appears sellable on a later scheduled rebalance date. A reply explains the platform behavior as a special backtest-engine rule: when a strategy does not handle a…

BacktestingMga equityPamamahala ng panganib
BigQuant

The document explains how to find the highest and lowest closing prices over roughly two years using rolling time-series maximum and minimum functions. It treats two years as about 400 trading days and applies those functions to the closing-price series,…

Mga equityMga teknikal na indicatorEstadistika
BigQuant

This research summary proposes measuring capital flows between large-cap and small-cap styles to identify when style investors are shifting allocations. It treats flow intensity as a signal of changing conviction and risk: when intensity is high, investors…

Mga equityPamumuhunan batay sa mga factorEstadistikaPamamahala ng panganib
BigQuant

This short weekly report summarizes a divided Chinese equity market, with major indices moving in different directions. It compares the reported changes in the Shanghai Composite, CSI 500, ChiNext, and CSI 300, then notes that most of the covered long…

Mga equityMga merkado sa ChinaMomentumPagbuo ng portfolio
BigQuant

This brief market note reviews Chinese 50ETF options conditions for the week ending November 2. It reports that the ETF closed at 2.594 after gaining 3.1% for the week, while the trading-value put-call ratio fell from 0.754 on October 26 to 0.575. The note…

Mga optionVolatilitySentimyentoMga merkado sa China
BigQuant

This weekly market commentary reviews Chinese equity index moves and sector themes for August 8–14, 2022. It highlights Chiplet-related stocks and financial firms, linking the former to semiconductor packaging developments and the latter to expectations…

Mga equityMga merkado sa ChinaNakabatay sa mga kaganapanMga kalakal