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

16 份文件

pyfolio

The example shows how to use Pyfolio to create a returns tear sheet for a single stock. It retrieves daily returns for Facebook through a Pyfolio utility, then passes that return series to a tear-sheet function with a live-start date. The stated output is a…

股票統計回測
pyfolio

The document explains a MetaTrader 5 indicator that marks hammer, inverted hammer, and color variants on price charts. It identifies patterns by measuring candle bodies and wick proportions, then places a colored arrow near the candle’s high or low to flag a…

技術指標波動率
pyfolio

This code provides several ways to assess how a backtested equity portfolio might interact with market liquidity. It aggregates executed shares by ticker and day, compares those totals with daily bar volume, and identifies each name’s largest observed share…

股票風險管理交易執行回測
pyfolio

This tutorial explains how to assess strategy performance by examining completed round-trip trades: positions opened and later wholly or partly closed. It argues that trade-level frequency, duration, and profitability can reveal whether results came from…

回測統計投資組合建構
pyfolio

These release notes describe additions to pyfolio, a toolkit for evaluating trading portfolios. New analyses include performance attribution to common factors, factor and sector risk exposures, rolling volatility, capacity, bootstrap uncertainty in…

投資組合建構風險管理統計回測
pyfolio

The document describes a reporting workflow for analyzing a trading strategy from return data and, when available, holdings, transactions, benchmark returns, market data, and factor information. Its full report brings together return and event analysis, then…

回測風險管理投資組合建構交易執行
pyfolio

This utility module prepares trading results for performance analysis. It extracts returns, positions, and transactions from a backtest, normalizes dates, and converts positions into a format suitable for reporting. It also includes display helpers,…

回測統計
pyfolio

Pyfolio is presented as a Python library for analyzing the performance and risk of financial portfolios, with compatibility for the Zipline backtesting library. Its central reporting tool is a tear sheet: a collection of plots intended to give a broad view…

投資組合建構風險管理回測統計
pyfolio

This notebook demonstrates a pyfolio workflow for examining one stock’s returns against the canonical Fama–French factors. It first plots rolling factor betas directly from the stock return series, then calculates those betas for use as benchmark returns in…

股票因子投資統計回測
pyfolio

This Python utility collection summarizes portfolio positions over time. It converts position values into allocations, identifies the largest long, short, and absolute positions, and calculates maximum and median long and short concentrations. A separate…

投資組合建構風險管理回測
pyfolio

The document describes a trade-analysis method that turns a stream of transactions into completed round trips. It first combines nearby transactions in the same direction, using volume-weighted average prices, then matches opposing quantities in FIFO order…

統計回測風險管理部位規模
pyfolio

This document describes a portfolio analysis workflow that attributes a return series to selected risk factors. It combines daily returns, holdings, factor returns, and security-level factor loadings, converting dollar positions to portfolio weights and…

因子投資投資組合建構風險管理統計
pyfolio

This Python module documents time-series analytics for evaluating investment returns. It wraps metrics such as drawdown, annualized return and volatility, Calmar, Omega, Sortino, Sharpe, alpha, and beta, along with turnover-related utilities. Several risk…

風險管理統計回測
pyfolio

This tutorial explains how to use Pyfolio’s transaction tear sheet to examine how strategy performance changes under different slippage assumptions. It describes the `slippage` argument to `create_full_tear_sheet`: a specified basis-point penalty is applied…

回測交易執行風險管理統計
pyfolio

This review summarizes three studies on stop-loss rules. The first applies a 10% loss threshold to broad U.S. equity exposure, shifting proceeds into long-term government bonds until the market recovers. The second compares fixed and trailing stops with…

股票動能風險管理回測
pyfolio

This document provides a predefined catalog of date ranges associated with notable market events and broader market regimes. The event windows include the dot-com period, the September 11 attacks, the global financial crisis, the Flash Crash, Fukushima, the…

回測事件驅動美國市場