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

The example code implements a simple long-only threshold strategy for one security. It opens an initial position, then compares each close with the most recent recorded purchase price. A decline beyond the configured buy threshold adds another purchase; a…

網格交易股票部位規模風險管理
BigQuant

This document outlines a simplified Merrill Clock approach that classifies economic conditions using the direction of year-over-year GDP and CPI changes. It applies moving averages to reduce short-term noise and delays the economic data by one period in…

多資產投資組合建構回測統計
BigQuant

This short platform guide explains how to limit the prediction or validation stock universe in a visual AI stock selection workflow to a chosen concept sector. It instructs users to insert a shared module for selecting stocks from a specified concept sector…

機器學習股票中國市場
BigQuant

This strategy description outlines a daily MACD crossover system for Kweichow Moutai shares. It buys when the fast MACD line crosses above the slow line and sells when the slow line crosses above the fast line. The stated setup uses daily stock bars, starts…

股票中國市場技術指標動能
BigQuant

This discussion explains when stock universe filters should apply to both model training data and prediction data, and when they might be applied only at trading time. Its general recommendation is to use the same data processing in both sets. Filters that…

機器學習股票風險管理回測
BigQuant

This report examines whether mainland China’s northbound investor flows can inform A-share trading. It tests flow thresholds for market timing, ranks sectors and stocks by net inflows, and combines sector selection with stock selection. The timing approach…

股票中國市場市場微結構動能
BigQuant

This forum post asks how to test high-frequency equity factors built from minute bars. It cites examples from a China International Capital Corporation multi-factor series: the average squared correlation between the high and low prices of 50-minute bars,…

股票高頻交易因子投資統計
BigQuant

This brief Chinese-language assignment submission argues that factor quality matters more than the choice of predictive model: a strong factor is presented as the foundation of a strong strategy. It says the author ran a linear-regression strategy because…

因子投資機器學習回測
BigQuant

This essay argues that traders who blame quantitative funds for losses may overlook weaknesses in their own discretionary process. It identifies three recurring pitfalls: emotional decisions, overgeneralizing from vivid stories or isolated winners, and…

股票中國市場均值回歸動能
BigQuant

This midyear financial engineering report reviews China’s equity market through the first half of 2020 and frames its outlook around two themes: timing the market by following trends and reviewing factor-based stock selection. Its summary describes a gradual…

股票中國市場趨勢追蹤因子投資
BigQuant

The document outlines a quantitative approach to forming a daily market outlook. It compares the current broad-market setup with similar historical situations, drawing on more than ten years of past market data, and uses the subsequent behavior of those…

統計回測部位規模股票
BigQuant

The document discusses constructing supervised-learning targets from daily Chinese stock data. Its SQL example derives a forward return from later prices, clips extreme values using the first and ninety-ninth percentiles, and selects dates, instruments, and…

中國市場股票機器學習統計
BigQuant

This report studies whether company patent data can help predict stock performance. It compares factors based on patent counts and types, including invention patents, utility models, and design patents. The report treats granted invention patents as the most…

股票因子投資回測中國市場
BigQuant

This forum post flags a data-quality concern in the net profit year-over-year growth field for Beijing Stock Exchange listings. The author reports substantial differences between the values from two named market-data sources and shows many securities with a…

股票統計中國市場因子投資
BigQuant

The document explains VeighNa's standardized datafeed configuration and lists supported providers, their broad instrument coverage, and available data frequencies. Configuration uses a provider name and credentials, with a token placed in the password field…

多資產期貨交易執行
BigQuant

This support exchange compares a median absolute deviation (MAD) clipping calculation with a platform's outlier-removal module. The example method computes a series median, finds the median absolute distance from that value, and clips observations to bounds…

統計股票
BigQuant

The document summarizes Chinese equity research on refining a traditional idiosyncratic volatility factor. The baseline measure is built from a Fama–French three-factor model. The report links volatility clustering in individual stock returns to persistence…

中國市場股票波動率因子投資
BigQuant

This overview explains automated trading as the use of software to generate or act on trading instructions, place orders, and manage positions with varying degrees of human involvement. It outlines a basic workflow: configure a platform, define entry and…

交易執行回測風險管理
BigQuant

This screen selects stocks in the metaverse theme whose indicated 9:25 price change is below 6% and whose weekly price crosses above a 30-week moving average. The document presents the theme as a way to focus on a current market segment, the early-session…

股票技術指標動能中國市場
BigQuant

This Chinese equity-market report uses distance from each stock or index’s highest closing price over the prior 250 trading days to monitor trends and identify potentially leading industries. It counts stocks that reached a 250-day high during the latest 20…

股票中國市場動能趨勢追蹤
BigQuant

The post explains Stochastic RSI as an RSI series normalized against its recent range, then smoothed to produce a fast line and a signal line. It relates common naming conventions: the fast %K line corresponds to the Stochastic RSI output, while %D…

技術指標動能加密貨幣
BigQuant

This introductory article explains overfitting as a model learning quirks in its training data instead of patterns that generalize. It contrasts strong training performance with weaker results on unseen observations, using a résumé screening example, and…

機器學習統計回測
BigQuant

This research summary examines the ChiNext 50 index through the supply chains of its constituents, arguing that sector weights alone miss how technology firms connect to suppliers and customers. It describes the index as concentrated in technology, with…

股票中國市場因子投資