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

This forum report describes a suspected data-alignment problem in a Chinese equity research workflow. The author adds an opening-price feature and a forward-shifted version to a strategy, then finds that the shifted values appear incorrect on particular…

股票統計回測
BigQuant

This short Chinese-language forum response explains the meaning of delayed entry in a factor test. A delay of N days is described as shifting the start of stock positions by N days from the original entry point. The purpose is to examine what happens when a…

因子投資回測股票
BigQuant

This post describes a reproduction of a research report's “moderate risk” factor, framed around information contained in moments of unusually high trading volume. The author says intermediate factors are calculated and stored, while factor analysis is…

股票因子投資回測
BigQuant

The document summarizes a study that applies multiple machine-learning algorithms to a broad set of return predictors in Chinese equities. It highlights differences from earlier United States research: liquidity ranks as a particularly important predictor in…

股票機器學習中國市場統計
BigQuant

The report compares methods for estimating stock-return covariance matrices for Chinese equities. It explains that when there are many stocks but relatively few return observations, sample covariance estimates can be noisy and numerically unstable for…

股票風險管理投資組合建構統計
BigQuant

The report classifies companies into startup, growth, mature, volatile, and declining stages using the signs of financing, operating, and investing cash flows. It describes differences among the groups: mature firms have the strongest profitability, while…

股票因子投資中國市場回測
BigQuant

This report reviews the Shanghai Composite as a broad measure of companies listed in Shanghai and discusses changes to its index rules scheduled for July 2020. The changes add STAR Market listings, delay new stock inclusion, and remove specially risk-warned…

股票中國市場統計風險管理
BigQuant

This report summary examines how to turn a supplied composite stock factor into a long-only index-enhancement portfolio. It contrasts common linear optimization, which is simple to compute but ignores relationships among stocks and can produce concentrated…

股票機器學習因子投資投資組合建構
BigQuant

This compilation presents three quantitative finance topics. First, it reports that news frequency and tone are associated with stock return jump likelihood and jump size characteristics. News frequency appears especially important for jump probability, and…

股票統計機器學習投資組合建構
BigQuant

The report asks whether property-level real estate returns can be explained by style characteristics in addition to property type and location. Using quarterly data on more than 25,000 UK retail, office, and industrial properties from 2002 to 2020, it…

多資產因子投資動能統計
BigQuant

The article presents four chart scenarios that it interprets as signs of continued accumulation or a possible reversal: low-volume consolidation after a rally, a low-volume pullback near highs, a sharp move to new lows after a prolonged decline, and a…

股票技術指標均值回歸
BigQuant

The article examines whether momentum and long-term reversal reflect changing exposures to priced risks rather than standalone return patterns. It tests whether past returns predict future realized betas, then uses an Instrumented Principal Component…

股票動能因子投資統計
BigQuant

This installment of an overseas research review introduces two studies, one on strategic asset allocation and another on quantitative stock selection. The allocation study asks whether a portfolio should be rebalanced and how the frequency and size of…

多資產投資組合建構因子投資
BigQuant

This brief Q&A explains ways to label stock price-limit events in a strategy workflow. For a one-price limit-up session, it suggests identifying a bar where the next period’s high and low are equal, then using that condition to assign a label. This is a…

股票中國市場統計
BigQuant

This brief BigQuant forum exchange addresses how to construct a custom factor when it is not available as a precomputed field. The question proposes an expression combining single-quarter revenue less single-quarter cost, divided by average total assets over…

因子投資股票統計
BigQuant

This post shows a daily stock strategy that combines a market risk filter, a trailing stop, and ranked portfolio rotation. It exits all holdings when a market risk indicator is positive, otherwise checks each position against a stop set below the highest…

股票風險管理部位規模交易執行
BigQuant

This indicator description presents ADXm as a directional variation of the ADX indicator, which measures trend strength without indicating direction. It adds Jurik smoothing to the ADXm series so traders can use its slope as a signal, with the stated aim of…

技術指標趨勢追蹤
BigQuant

This legacy BigQuant guide shows how to add fixed exit rules to a stock strategy. Its example sells a holding after a fixed price gain or after a percentage loss, with separate lists recording stocks exited by each rule. It also explains how to coordinate…

股票風險管理交易執行
BigQuant

The post describes a Chinese A-share strategy that runs on its first day of simulated trading but fails during the next day’s scheduled run. The author suspects the strategy callback is not reached, while the supplied log shows the run progressed through…

中國市場股票交易執行
BigQuant

The document reports a BigQuant backtest failure caused by passing a floating-point value where the history function requires an integer bar count. In the shown trailing-stop logic, the holding period is calculated as the number of elapsed days since the…

股票風險管理回測
BigQuant

The HAN123 strategy builds a reference range from the high and low observed during the first half-hour of the Chinese equity futures session. After that window, it enters long above the range high or short below the range low, reversing an existing position…

期貨中國市場突破趨勢追蹤
BigQuant

This Chinese research note explores whether stock selection models built within individual industries can add information to a broad market-wide fundamental alpha model. The authors argue that industry models make it easier to use sector-specific factors and…

中國市場股票因子投資投資組合建構