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 report introduces an early-stage study of market microstructure signals in the IF equity index futures contract. It proposes examining the difference between midpoint and trade-price log returns, quoted depth, large trades, and signed volume. The…

期貨市場微結構統計高頻交易
BigQuant

This document reviews an empirical comparison of machine learning approaches for forecasting monthly returns in China’s A-share market. The described process trains models on prior data, uses a validation period for tuning, and tests predictions out of…

中國市場股票機器學習因子投資
BigQuant

This research summary reviews tests of eight proprietary price-volume factors in Chinese equities, comparing monthly, weekly, and biweekly rebalancing. The factors include active buying and selling, smart money, ideal amplitude, APM, ideal reversal, large-…

股票中國市場動能技術指標
BigQuant

The document outlines the Chaikin oscillator, a technical indicator built from price and volume data. It first weights volume by the relationship between the close and open relative to the day's high-low range, cumulatively sums that measure, and then takes…

技術指標統計股票
BigQuant

This tutorial describes a Python workflow for comparing two subfunds with the China Securities 1000 Index using weekly net asset values. It calculates rolling correlations over a 20-day window and plots how those relationships change, then compares period…

中國市場統計風險管理投資組合建構
BigQuant

This example describes a daily, long-only futures strategy using a 10-period average crossing a 30-period average to generate entry and exit signals. A 120-period moving average acts as a trend filter: the strategy opens a position after an upward crossover…

期貨趨勢追蹤技術指標回測
BigQuant

The document outlines a workflow for building equity strategies that adapt their stock-selection logic to market conditions. It proposes measuring market sentiment with signals such as the number of limit-up stocks and average returns, then adding industry…

股票因子投資統計回測
BigQuant

This post is a satirical warning about trusting impressive quantitative strategy claims and backtest curves. It points readers toward shared deep-learning strategy code, but supplies no description of the model, training data, signals, or validation process.…

回測風險管理部位規模
BigQuant

This Chinese market-timing report reviews sector strength, valuation, breadth, moving-average structure, and equity-fund positioning around July 2020. Its summary highlights stronger recent breadth: the share of stocks reaching 60-day highs and the balance…

股票中國市場動能技術指標
BigQuant

The article presents a robust version of equal risk contribution (risk parity) portfolio construction. It treats the estimated covariance matrix as uncertain and builds a bounded uncertainty set around the estimate. The optimization then accounts for…

投資組合建構風險管理統計回測
BigQuant

This research note describes an enhancement strategy for China’s CSI 1000 small-cap equity index. It combines factors representing valuation, growth, trading behavior, capital flows, and network relationships within index constituents. After neutralizing for…

股票因子投資投資組合建構回測
BigQuant

This research summary describes how to build and compare active and passive portfolios of Chinese healthcare-themed funds. For active funds, it argues that screening should use actual underlying holdings, since a fund's label may not reflect a concentrated…

股票中國市場投資組合建構回測
BigQuant

The document discusses whether stochastic-process mathematics, including Brownian motion, still matters as machine learning becomes more common in quantitative finance. It presents several practitioner views: stochastic calculus has a stronger role in…

機器學習統計衍生品定價交易執行
BigQuant

This 2018 research summary forecasts changes to the FTSE China A50, an index of large Chinese mainland stocks selected with free-float and liquidity considerations. It describes quarterly reviews in March, June, September, and December, and identifies index…

股票中國市場事件驅動投資組合建構
BigQuant

This commentary examines sharp style swings in China’s A-share market, using recent surges and reversals in the nonferrous metals sector as its main example. It argues that a rapid rise concentrated in a small number of stocks can pull liquidity from other…

中國市場股票市場微結構市場情緒
BigQuant

This overview distinguishes language generation from financial prediction, arguing that strong text generation does not by itself solve markets’ low signal-to-noise ratios, changing patterns, and limited data. It explains GPT’s development and instruction…

機器學習統計回測衍生品定價
BigQuant

The document outlines a daily trend-following strategy for commodity futures based on Bollinger bands. It enters long when price breaks above the upper band and short when price breaks below the lower band, then exits when price crosses back through the…

期貨大宗商品趨勢追蹤突破
BigQuant

This weekly review compares style-factor performance across Chinese equity universes and summarizes quantitative public-fund returns against broader stock and equity-oriented funds. It reports that price and trading activity related factors—including…

股票中國市場因子投資均值回歸
BigQuant

The article describes a method for estimating consensus net profit from analyst forecasts and using that estimate to build equity selection signals. It weights forecasts by report recency and by each analyst’s prior adjusted forecast error, giving greater…

股票因子投資統計回測
BigQuant

This opinion article argues that retail traders face a structural disadvantage in short-term equity trading because quantitative firms can use fast systems and direct market connectivity. It attributes the gap to execution speed and claims that automated…

股票交易執行市場微結構風險管理
BigQuant

The article describes REDD-COPS, a dynamic allocation method designed to constrain rolling portfolio drawdown while pursuing long-term growth. It replaces a lifetime peak-to-trough reference with a rolling economic maximum, then adjusts exposure to risky…

多資產投資組合建構風險管理波動率
BigQuant

This short forum exchange addresses how to adapt a BigQuant strategy to rebalance on a five-day schedule. The reply recommends defining the holding-period setting in the backtest module’s initialization function, then using the K-line processing function to…

股票回測投資組合建構
BigQuant

This article explains why high-frequency trading firms invest heavily in reducing the time it takes to receive market information and send orders. It describes an earnings-news episode in which an automated firm traded before financial news terminals…

高頻交易交易執行市場微結構
BigQuant

The document introduces an MQL4 library that ports regular-expression functionality from the .NET Framework. It outlines the library’s components for patterns, matches, capture groups, options, and Unicode character categories. It also lists options such as…

交易執行