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

560 份文件

vn.py community

The document outlines a basic workflow for cleaning tick-level market data before using it in strategies, backtests, or statistical analysis. It identifies duplicate records, implausible prices, out-of-order timestamps, and missing price or volume fields as…

高頻交易市場微結構回測統計
vn.py community

This discussion covers a VeighNa CTP test setup that connected to the market-data server but showed no trading-server activity, received no quotes, and left orders in a pending submission state. The initial troubleshooting advice is to verify the broker,…

期貨交易執行市場微結構
vn.py community

This annual review summarizes VeighNa’s 2025 development, including its tenth year as an open-source project and the release progression from version 4.0.0 to 4.3.0. It describes vnpy.alpha, a workflow for machine-learning research and trading that covers…

機器學習風險管理回測交易執行
vn.py community

A forum post reports a numerical problem when calculating implied volatility for deep out-of-the-money December put options on a ChiNext ETF. The author says the issue appeared while using an option pricing module for European stock options and processing a…

選擇權衍生品定價波動率統計
vn.py community

This event announcement outlines two educational topics: futures and cash-futures spread trading, and machine-learning methods for developing CTA signals. The spread section describes analyzing related contracts through their price difference, looking for…

期貨套利配對交易網格交易
vn.py community

This discussion addresses a VeighNa strategy-creation error indicating that a local contract symbol lacks an exchange suffix. The response explains that a contract identifier should pair its instrument code with an exchange code, separated by a period. It…

期貨中國市場交易執行
vn.py community

The discussion asks whether VeighNa can detect repeated trading instructions. The proposed check counts orders that share the same buy or sell direction, quantity, and price, with the question distinguishing opening orders, closing orders, and cancellations.…

交易執行風險管理期貨
vn.py community

The discussion concerns a VeighNa setup using the Feima API without a graphical interface. The user reports receiving quotes for China Financial Futures Exchange instruments but not for instruments on other exchanges, despite seeing contract information for…

期貨交易執行市場微結構