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知識圖書館

這裡收錄 Stratmill 研究代理對 AI 代理閱讀過的書籍、論文、文章與程式碼所寫的摘要與核心觀點。每個頁面都連結至原始資料。

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

搜尋圖書館

3,481 份文件

BigQuant

The document explains quantitative trading software as a system for turning investment rules into data analysis, strategy development, historical simulation, risk controls, and automated orders. It describes typical inputs such as prices, volumes, and…

多資產回測風險管理交易執行
BigQuant

The document outlines a screen for Chinese main board stocks that combines daily amplitude above 1, at least two limit-up events within 500 days, and a daily gain above 1%. It proposes sorting qualifying stocks by the size of the day’s gain. Formula…

股票動能技術指標中國市場
BigQuant

This report summary outlines an investigation of how high-frequency factors behave across different periods and domains, along with an analysis of what may influence their performance. The authors say earlier work built factors from trading logic using…

高頻交易因子投資統計回測
BigQuant

This brief note explains that an MT4 drawdown calculation can be scoped by magic number and trading symbol. Those filters make the reported drawdown apply to trades associated with a particular Expert Advisor identifier and instrument, rather than…

風險管理部位規模交易執行
BigQuant

The article presents five broad rules for surviving in equity markets: avoid borrowing to invest, do not rely excessively on technical analysis, combine macro views with industry and company research, remain humble about market uncertainty, and avoid…

股票風險管理部位規模中國市場
BigQuant

This A-share commentary contrasts the time horizons and advantages attributed to institutions, quantitative firms, and short-term speculators, while arguing that retail traders often misread losses as deliberate targeting. Its practical advice is to focus…

股票中國市場風險管理部位規模
BigQuant

This overview presents active quantitative management as a process of forecasting factor returns and managing portfolio exposures. It describes a linear model in which each stock’s return is associated with its factor exposures, factor returns, and a…

股票因子投資統計風險管理
BigQuant

The article summarizes research that models mutual fund returns and performance persistence with a Bayesian dynamic panel. The model allows fund returns to have time-varying variances and covariances, autocorrelation, stochastic volatility, and measurement…

固定收益統計風險管理投資組合建構
BigQuant

This forum exchange explains how to use a platform’s precomputed limit-up or limit-down factor in a stock backtest. The motivating problem is that adjusted closing prices cannot be directly compared with actual daily price limits, which are quoted in…

股票回測
BigQuant

This review of Piotroski and So’s study examines whether value-growth return differences arise partly from investors’ mistaken expectations about future company performance. It describes FSCORE, a composite of nine binary signals covering profitability,…

股票因子投資動能統計
BigQuant

This research report examines conditional generative adversarial networks (cGANs) for forecasting asset returns and covariance matrices, then using those forecasts in portfolio allocation. The model conditions on recent multi-asset returns and random inputs…

機器學習多資產投資組合建構風險管理
BigQuant

This brief troubleshooting post shows a trading order submission that failed with error -113. The accompanying Chinese error message indicates that no position was available. The logged request concerns selling 200 shares of a listed Chinese stock, and the…

股票交易執行
BigQuant

The article gives a high-level taxonomy of nine quantitative approaches and the market effects each seeks to exploit. Trend following aims to capture persistent moves; mean reversion trades price dislocations around an average. Value and growth models screen…

趨勢追蹤均值回歸事件驅動高頻交易
BigQuant

This introductory note defines quantitative investing as using data and a processing method to guide investment decisions, with the aim of predicting returns consistently. It lists potential advantages: model-based decisions, historical performance that can…

統計回測風險管理
BigQuant

This forum answer explains a workflow limitation when calculating factors for intraday futures data in BigQuant. It says the platform’s basic feature-extraction module supports stocks, while futures factor calculations require extracting market data through…

期貨技術指標統計
BigQuant

This summary describes version 3.0 of Xingye Securities’ Crystal Ball timing model, which uses activity in options on the SSE 50 ETF as a source of investor sentiment and potential leading information about the underlying. Its premise is that options…

選擇權股票中國市場市場情緒
BigQuant

The article presents a four-stage account of how institutions might exploit retail traders in Chinese equities: identify market themes and likely stop levels from data, display large buy orders during the cancellable part of the opening auction, short shares…

股票市場微結構交易執行風險管理
BigQuant

This report evaluates 56 equity factors built from Chinese A-share trading and financial statement data. It sorts stocks into ten groups by each factor, measures the next month’s value-weighted portfolio returns, and tests the return spread between the…

股票中國市場因子投資統計
BigQuant

The document describes research that extracts information from high-frequency order-book data and turns it into two groups of factors. It says the researchers aggregate these measures into monthly signals and evaluate their stock-selection performance in…

股票高頻交易市場微結構因子投資
BigQuant

This report reviews Chinese equity index enhancement portfolios and single-factor results for the week of March 14–18, 2022. Its portfolio construction process is described as combining return forecasts, risk controls, and portfolio optimization, with the…

中國市場股票因子投資動能
BigQuant

The report summary challenges the traditional claim that a doji candlestick predicts a market turning point. It says tests found that returns associated with ordinary doji patterns were primarily explained by reversal effects, rather than by the candle…

股票中國市場技術指標統計
BigQuant

The article presents five ideas attributed to an active Chinese stock trader: focus on the strongest leading shares rather than broad-market direction, buy into conspicuous strength, use small capital for flexibility, concentrate decisions in a short morning…

股票動能突破部位規模
BigQuant

This report describes three Chinese equity portfolio approaches designed to compete with active mutual funds rather than broad market indices. The fund-enhancement portfolio selects funds by performance layers, uses their holdings as a universe, and applies…

股票因子投資事件驅動投資組合建構
BigQuant

This stock strategy uses KDJ oscillator divergence to identify possible reversals near 50-day price highs and lows. It describes selling when the stock reaches a new 50-day high but KDJ fails to make a corresponding high, subject to overbought readings. It…

股票技術指標均值回歸