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
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

50 份文件

vn.py

The document introduces VeighNa, an open-source Python framework for quantitative trading, with particular attention to its vnpy.alpha module. That module organizes research into feature creation, model training, strategy development, and workflow…

機器學習因子投資回測多資產
vn.py

This documentation explains how VeighNa Elite Trader’s option strategy module supports strategy setup, initialization, automated trading, monitoring, and removal. It describes the ContractManager’s role in loading daily contract information and maintaining…

選擇權衍生品定價交易執行回測
vn.py

This guide explains the CTA strategy workflow in VeighNa Fusion, from connecting to the trading gateway and creating a strategy instance to configuring parameters, initializing, starting, and stopping it. Each instance has its own target contract, parameter…

期貨交易執行風險管理回測
vn.py

This guide explains a configurable pre-trade risk engine that checks orders before they are sent through a trading API. Rules can be enabled in a JSON settings file and include symbol blacklists and whitelists, order size and value caps, cancellation limits,…

風險管理交易執行部位規模
vn.py

The document explains how to use a market-depth trading interface for live, manual intraday trading in a single futures contract. After connecting a trading gateway and opening a contract chart, the ladder displays price levels, bid and ask quantities, best…

期貨交易執行市場微結構
vn.py

This guide explains how to enable a trading gateway in VeighNa Station or load one from a startup script, connect through VeighNa Trader, and view account, position, order, trade, and contract information. Gateway settings can be edited in the application or…

期貨選擇權股票交易執行
vn.py

This guide explains how to construct, monitor, and trade synthetic spreads in the VeighNa SpreadTrading module. A spread can combine several contract legs using a formula, including pricing legs that are not traded, which supports relationships involving…

期貨大宗商品套利配對交易
vn.py

This code example outlines a vn.py workflow for backtesting an ATR-RSI strategy on a Chinese equity index futures contract. It configures the instrument, minute interval, historical dates, commissions, slippage, contract size, tick size, and starting…

期貨回測技術指標統計
vn.py

This operational guide explains how to run multi-contract portfolio strategies through VeighNa Elite Trader’s PortfolioStrategy module. It covers loading strategy classes, creating instances with symbols, gateways, and typed parameters, then initializing…

多資產交易執行風險管理
vn.py

This guide explains how to use Fusion’s data center to download domestic futures one-minute history into a local database, inspect existing records, update them, and build continuous contracts. Users first load the available instruments, choose an exchange,…

期貨回測中國市場
vn.py

This guide explains how pre-trade controls can block orders that exceed preset limits, helping reduce accidental oversizing, excessive order flow, and other operational errors. It describes common controls for order frequency, reset intervals, single-order…

風險管理交易執行部位規模回測
vn.py

This guide explains how to use historical backtests and parameter optimization as research checks before deploying a trading strategy. It outlines setup choices such as the instrument and exchange, bar interval, date range, fees, slippage, contract…

回測風險管理統計期貨
vn.py

This guide describes an execution module that runs algorithms in a separate process, lets users configure and monitor orders, and supports manual order routing across multiple accounts. Its five examples illustrate different execution behaviors: TWAP divides…

交易執行市場微結構期貨高頻交易
vn.py

This operational guide explains how to route selected VeighNa Elite Trader logs to a DingTalk group through a custom chat robot. The setup requires creating the robot, enabling signed requests, and entering its token and signing secret in the platform’s…

交易執行風險管理
vn.py

This guide explains how VeighNa Elite Trader’s CTA template can filter synthetic bars received outside configured trading sessions, preventing out-of-session data from affecting strategy indicators. It describes obtaining a sample filter configuration…

期貨市場微結構交易執行
vn.py

The document explains how to use VeighNa’s DataRecorder module to save live market data to a database. Recorded ticks and one-minute bars can later be viewed in DataManager, used for historical backtests, or supplied to trading strategies during live…

交易執行回測
vn.py

The document demonstrates a vn.py workflow for backtesting a statistical arbitrage strategy on a two-leg futures spread. It defines a spread as the price difference between two futures contracts, sets the backtest interval and trading assumptions, loads…

期貨配對交易套利回測
vn.py

The document explains how VeighNa WebTrader provides browser access to basic manual trading functions. Its architecture separates the strategy trading process from a FastAPI web service. REST requests from the browser are relayed to the trading process…

交易執行市場微結構
vn.py

This notebook outlines a machine learning workflow for daily CSI 300 constituent stocks. It loads historical bars and changing index membership filters, constructs an Alpha101 dataset, and divides the sample into training, validation, and test periods. The…

中國市場股票機器學習回測
vn.py

This notebook demonstrates a basic command-line workflow for operating a trading engine through a CTP gateway. It loads connection settings, initializes the engine, and connects to the server. The example then queries available contracts, account balances,…

期貨交易執行
vn.py

The document explains how to connect VeighNa trading software to Excel through its ExcelRtd module and PyXLL. After installing and configuring the commercial PyXLL add-in, users can enable the module in VeighNa Station or load it in a startup script. The…

期貨交易執行市場微結構
vn.py

This document explains a portfolio management interface for monitoring strategy-level positions, trades, and profit and loss during the trading day. It treats each order source, such as manual trading or a strategy module, as a separate portfolio and…

期貨投資組合建構風險管理
vn.py

These release notes describe changes across versions of the VeighNa trading framework. For quantitative research, notable updates include a cross-sectional percentile ranking function, revised factor and signal performance analysis, an added VWAP matching…

機器學習因子投資回測交易執行