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
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

This short platform discussion presents a manual construction of the KDJ oscillator alongside built-in KDJ functions. It first derives the raw stochastic value from the close’s position within the rolling ten-period high-low range. It then applies smoothing…

技術指標股票統計
BigQuant

This overview surveys practical considerations for AI and quantitative trading, from data quality and model choice to backtesting, risk controls, and portfolio allocation. It highlights that historical results can mislead when models are overfit or…

機器學習統計風險管理回測
BigQuant

This course-lecture summary introduces the role of planning and learned models in reinforcement learning. It identifies Dyna and Monte Carlo tree search as examples of algorithms that use models, and notes that the lecture is presented by research engineer…

機器學習統計
BigQuant

This research note describes an earnings-expectations approach to positioning in Sanhuan Group, a Chinese electronics company. It constructs an “earnings overpricing” index within a fixed price-to-earnings valuation framework and uses the measure to allocate…

股票中國市場均值回歸回測
BigQuant

This research summary examines whether mutual fund managers’ tendency to follow prior institutional trading can reveal investment skill. It describes a fund-level dynamic herding measure, FH, and tests whether funds with stronger herding subsequently…

股票統計因子投資美國市場
BigQuant

This report studies whether changes in leading companies’ expected earnings can help select industries for rotation. Its premise is that revisions to a sector leader’s expected fundamentals may influence subsequent returns across related stocks. The analysis…

股票因子投資動能投資組合建構
BigQuant

This report examines whether selecting stocks within industries can improve factor comparisons by reducing structural differences between sectors. It groups stocks using a detailed industry classification, removes recent listings and very small firms whose…

股票因子投資回測投資組合建構
BigQuant

This report examines stocks that mutual funds hold at a larger portfolio weight than their benchmark index. It describes these holdings as tending toward larger, higher-valued companies and certain sectors, and reports that many outperformed during fund…

股票中國市場因子投資投資組合建構
BigQuant

The document explains how a backtest engine turns an investment strategy into simulated trades. It distinguishes strategy logic, such as selecting securities and generating signals, from trade logic, such as deciding position size, rebalance timing, order…

回測交易執行部位規模風險管理
BigQuant

This document introduces the cyclically adjusted price-to-earnings ratio, or CAPE, as a way to compare equity prices with a decade of inflation-adjusted earnings. It summarizes historical analyses of the S&P 500 and Shanghai Composite, reporting that higher…

股票均值回歸統計回測
BigQuant

The document explains the cyclically adjusted price-to-earnings ratio (CAPE), calculated as an inflation-adjusted share price divided by the average inflation-adjusted earnings per share over the prior decade. It compares CAPE with future real returns for…

股票中國市場美國市場均值回歸
BigQuant

This article describes a stock-selection screen based on three conditions: a daily high-low range above a stated threshold, an opening price near the ten-day moving average, and at least five years since listing. The intended interpretation is that elevated…

中國市場股票技術指標波動率
BigQuant

This page organizes a beginner-oriented quantitative trading curriculum and links to lessons and example strategy projects. The listed foundations include Python, pandas analysis, historical and financial data access, visualization, and DataFrame plotting.…

股票配對交易技術指標因子投資
BigQuant

This report examines whether commodity futures signals and trades should use the most liquid main contract or an actively traded near-month contract. It defines active near-month contracts using liquidity and price sensitivity, then compares contract choices…

大宗商品期貨動能Carry(套息)
BigQuant

This short response outlines basic risk controls at both the individual-stock and broad-market levels. For a stock position, it suggests monitoring profit and loss and using risk indicators to trigger an exit, with moving-average crossovers and a multi-day…

股票風險管理動能技術指標
BigQuant

The document examines how factor exposure limits in a multi-factor portfolio optimization model affect active returns and risk. Raising the caps can increase excess return, drawdown, and tracking error, so the change in return relative to the change in risk…

因子投資投資組合建構風險管理中國市場
BigQuant

This post summarizes a 2017 J.P. Morgan report on using large and alternative datasets in investment research. It groups alternative data into information generated by individuals, business processes, and sensors, with examples such as social media,…

機器學習統計市場情緒股票
BigQuant

This forum post reports that a strategy based on a platform template runs, but simulation fails at a dropna step because of NaN values after the user adds factors. The author’s attempted fix was to fetch 90 calendar days of earlier daily index data,…

回測統計股票
BigQuant

The document describes a China equity screening rule for metaverse-related stocks. It combines a rounded or arc-like price pattern with prior auction turnover above 0.26, alongside formula conditions involving price movement around the open, recent up-day…

股票中國市場技術指標
BigQuant

This brief Chinese-language forum post asks how to identify stocks that break above a price level and then do not fall more than 10%. It suggests describing the breakout as a new 100-day high: compare the current high with the maximum high over the preceding…

股票突破技術指標
BigQuant

The post reports a discrepancy between a backtesting platform’s monthly return for the CSI 300 benchmark and an external reference calculation. It attributes the difference to the platform using the first day of the month’s closing price as the starting…

回測統計投資組合建構
BigQuant

This note introduces the Awesome Oscillator (AO) and gives its basic input and calculation. It uses median price, defined as the average of the session high and low, then subtracts a longer-period moving average from a shorter-period moving average. The…

技術指標