跳至內容

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
Quantpedia
86 份文件
TqSdk
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
Quantopian 講座
45 份文件
Binance API docs
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
Alphalens
14 份文件
WonderTrader
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

A user questions why a reported monthly return is negative when most of the month appeared positive. The reply explains that the earlier portion of the equity curve was above its zero reference, but losses in the final days brought the curve below zero. It…

統計回測
BigQuant

This event announcement describes a session on using Cowork to build a quantitative market-timing process and apply it to a small-cap stock strategy. The proposed approach uses macroeconomic indices as timing inputs and presents a multi-factor timing…

中國市場股票因子投資回測
BigQuant

This report explains a value-versus-growth rotation strategy built around the idea that returns can come from deliberate exposure to style factors as well as broad market risk. It links shifts in style leadership to investor sentiment and risk appetite,…

因子投資投資組合建構回測中國市場
BigQuant

This review describes a Bayesian dynamic panel model for evaluating US mutual fund performance and its persistence. The model allows fund returns to have time-varying variance and covariance, cross-fund dependence, serial correlation, latent volatility, and…

統計機器學習因子投資風險管理
BigQuant

This document summarizes Zhongtai’s annual outlook for 2022, presenting views on Chinese and U.S. markets, policy, liquidity, and sector opportunities. It anticipates gradual easing in China’s property stance without a full housing-cycle restart, a…

股票中國市場美國市場因子投資
BigQuant

The report combines risk parity with the Black-Litterman framework to build stock-and-bond and broader multi-asset portfolios. It uses risk-parity weights as the prior allocation, short-term momentum as an investment view, and Black-Litterman to estimate…

多資產投資組合建構動能風險管理
BigQuant

This article argues that during Chinese sector rallies, a highly visible limit-up leader may serve as an attention and sentiment anchor while larger positions are accumulated or exited across less prominent related stocks. It describes a sequence in which…

股票中國市場市場情緒市場微結構
BigQuant

This document summarizes several modeling choices for quantitative trading. It argues that machine learning may be easier to apply in high frequency strategies than in lower frequency settings, and that nonlinear models can capture more from data than linear…

機器學習高頻交易回測統計
BigQuant

The report frames asset allocation as exposure to underlying risk factors rather than simply to asset categories. It distinguishes macro factors, which represent shared risks across asset classes, from investable style factors, which explain risk premia…

因子投資投資組合建構股票中國市場
BigQuant

This tutorial introduces Matplotlib as a Python library for visualizing data and walks through common chart types and layout tools. Examples show how to plot one or more series, customize line colors and markers, create scatter plots with variable point size…

統計
BigQuant

This Chinese equity strategy applies a simple Turtle-inspired rule to five named stocks. It defines a recent high using the highest closing price over 20 sessions and a recent low using the lowest close over 10 sessions. The stated rule buys when the high…

股票趨勢追蹤技術指標回測
BigQuant

This report consolidates tests of 78 factors across eight categories, comparing grouped portfolio returns, statistical independence measures, single-period and cumulative returns, t-statistics, and measures of return variability. It also examines…

股票因子投資統計投資組合建構
BigQuant

This research summary examines whether announcements of institutional investor visits to A-share companies contain information about subsequent stock returns. It describes the events as usually involving specific-company visits, a small number of…

股票中國市場事件驅動統計
BigQuant

This event description frames index enhancement as tracking a benchmark while seeking excess returns. It outlines a workflow involving single-factor screening, backtest construction, and parameter tuning, and presents a live demonstration that purportedly…

股票因子投資回測投資組合建構
BigQuant

The report examines how index-enhancement funds generate returns above their benchmarks. It separates active returns into industry selection, stock selection within industries, and their interaction, then compares stock selection within index constituents…

股票因子投資投資組合建構統計
BigQuant

The document discusses how to evaluate a stock factor using portfolios formed by sorting stocks on factor values. In a long–short comparison, the return spread is calculated between the group ranked highest by the factor and the group ranked lowest by the…

股票因子投資回測
BigQuant

This discussion concerns adapting a stock-ranking template to use financial factors in a machine-learning strategy. The author describes a forward-return label based on buying at the next day’s open and selling at the close five trading days later, then asks…

股票機器學習因子投資統計
BigQuant

This proposed short-term A-share strategy selects ordinary shares that have closed at the daily limit for two consecutive sessions and belong to concepts ranking near the top by both recent three-session and fifteen-session returns. It excludes specified…

股票中國市場動能突破
BigQuant

The document describes a proposed equity screen that starts with executive share-change announcements and then ranks eligible stocks using multiple factors. At each rebalance, the investor would look for relevant announcements published between the current…

股票事件驅動因子投資
BigQuant

The document explains what a useful volatility model should capture: volatility clustering and persistence, eventual mean reversion, asymmetric responses to positive and negative return shocks, effects from external variables and scheduled events, and…

波動率統計風險管理股票
BigQuant

This document introduces convertible bonds as instruments combining debt with an option to convert into the issuer’s shares. It outlines core contract features: face value, conversion price and period, coupon, conditional early redemption, and investor put…

固定收益選擇權波動率中國市場
BigQuant

This document introduces convertible bonds as instruments combining debt with an option to convert into the issuer’s shares. It outlines core contract features: face value, conversion price and period, coupon, conditional early redemption, and investor put…

固定收益選擇權波動率中國市場
BigQuant

This note recommends two research papers on behavioral finance and equity anomalies. The first examines how journalists’ experience, education, and industry knowledge relate to the accuracy of merger news when rumors circulate. It reports that vague wording…

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