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
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

This review surveys momentum investing across equities, funds, commodities, bonds, currencies, and cryptocurrencies. It explains cross-sectional momentum, which buys past winners and sells losers, and time-series momentum, which takes positions based on each…

動能趨勢追蹤因子投資多資產
BigQuant

This document is a short summary of a report about constructing a fund-of-funds portfolio that can consistently outperform the median actively managed equity fund. It highlights the difficulty of selecting funds that remain above that benchmark across…

多資產投資組合建構統計
BigQuant

The document considers why a developer might share or commercialize a quantitative trading system instead of trading it privately. Its central explanation is that developers may struggle to follow their own rules: watching short-term price moves can trigger…

交易執行風險管理統計
BigQuant

The document summarizes an analysis of the China Strategic Emerging Industries Index and its associated ETF. The index selects 100 listed companies from areas such as environmental technology, information technology, biotechnology, advanced manufacturing,…

股票中國市場因子投資投資組合建構
BigQuant

This tutorial introduces Pandas as a toolkit for working with financial data, focusing on its Series and DataFrame structures. It demonstrates creating indexed data, inspecting rows, columns, values, and types, sorting, transposing, selecting columns and…

股票統計技術指標
BigQuant

The document explains the expected input, initial state, and output shapes for PyTorch’s LSTM layer. With the default layout, inputs are arranged as sequence length, batch size, and feature count; the hidden and cell states also include layer and direction…

機器學習統計中國市場
BigQuant

This report summary examines gold supply and demand, macroeconomic influences, and ways to combine fundamental signals with short-term trend trading. It argues that supply changes relatively little, while shifts in investment demand help explain price…

大宗商品因子投資趨勢追蹤回測
BigQuant

This summary of a brokerage research report discusses the research workflow for multi-factor equity selection. It highlights source-data issues such as delayed or unreliable financial disclosures, corporate restructurings that disrupt historical…

股票中國市場因子投資統計
BigQuant

The document introduces Bollinger Bands as a technical indicator calculated from closing prices. It names a moving-average window, another window for the lower band, and a standard-deviation multiplier as inputs. Its pseudocode describes an upper band based…

技術指標波動率
BigQuant

The document explains quantile regression as an alternative to ordinary least squares for modeling stock returns. Because it estimates relationships at different points in the return distribution, it can reveal effects that an average-based model may hide,…

股票因子投資統計中國市場
BigQuant

The report summary describes a study of Chinese equities covered by broker buy-rating reports. Cross-sectional regressions reportedly find a significant return premium for covered stocks after controlling for common stock-selection factors. The premium is…

股票事件驅動市場情緒統計
BigQuant

The document outlines an equity factor research workflow: define a hypothesis from investment or behavioral theory, gather and clean data, calculate factor values, evaluate each factor, combine factors, and backtest and refine the result. It highlights…

股票因子投資回測統計
BigQuant

This study examines whether stock-selection factors earn premiums from choosing stocks within industries, allocating across industries, or both. It tests 21 definitions spanning value, quality, momentum, low volatility, and size, using global…

股票因子投資投資組合建構風險管理
BigQuant

The article evaluates a deep-learning stock-ranking model across broad-market and filtered Chinese equity universes. It uses rolling windows of three years for training and one year for evaluation, then compares portfolio sizes, rebalance intervals,…

股票機器學習回測投資組合建構
BigQuant

This research outline proposes constructing an A-share stock portfolio that seeks exposure to alpha while limiting unstable style exposures. Its motivation is concern that alpha-hedging returns may track market style rotations and that strategies experienced…

股票因子投資投資組合建構風險管理
BigQuant

The document introduces the Psychological Line, abbreviated PSY, as a price-based indicator. Its stated calculation counts the days in a chosen lookback period when the close exceeds the previous close, divides that count by the period length, and expresses…

技術指標統計動能
BigQuant

The document compares machine-learning approaches to strategy development with more subjective manual parameter tuning. It recommends measuring overfitting by comparing performance on training and test data, using cross-validation where appropriate. For…

機器學習統計回測
BigQuant

The article argues that individual traders are unlikely to beat quantitative funds at speed and disciplined execution. It challenges the idea that simply refusing to sell is a reliable defense, pointing to the difficulty of holding through sharp price moves…

股票趨勢追蹤風險管理
BigQuant

This introductory article defines quantitative investing as using numerical models and systematic rules to guide investment decisions. It contrasts model-based methods with more discretionary approaches, then describes claimed benefits: disciplined…

多資產統計回測投資組合建構
BigQuant

This document introduces a study of stock-selection factors based on herding behavior among individual Chinese equities. Its brief abstract places the work in the context of widely used domestic multi-factor strategies and says that such strategies had…

股票中國市場因子投資均值回歸
BigQuant

This note defines the Momentum Index, abbreviated Mtm, as the current closing price minus the closing price a specified number of days earlier. The lookback interval is a parameter, so the resulting value depends on the chosen period. The measure expresses…

技術指標動能股票
BigQuant

A brief troubleshooting note explains a model training error in a stock ranking workflow. The stated cause is that all input factor values were either zero or one. Since the ranking model needs variation in its inputs to distinguish and order securities, a…

機器學習統計股票