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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

79,386 份文件

BigQuant

This roundtable transcript gathers views from Chinese investment managers, researchers, and futures professionals on the development of quantitative investing. Participants discuss the tension among scale, returns, and risk; the challenge of declining or…

多資產因子投資機器學習市場微結構
BigQuant

This study develops two equity factors from the relationship between intraday volatility and the return-to-volatility ratio. The “rebuilding” factor uses the daily covariance between that ratio and volatility to represent cases where volatility rises without…

股票波動率因子投資技術指標
SuperMind

This weekly report compares machine-learning stock-selection portfolios across several Chinese equity universes: broad-market stocks without industry neutralization, broad-market selections neutralized to the CSI 300 or CSI 500 industries, and selections…

中國市場股票機器學習回測
SuperMind

This stock screen combines a daily turnover range of 3% to 12%, a reversal or engulfing-style candle condition, and a stochastic K reading at or below 20. The article presents screening logic and sample indicator calculations: it derives ratios from the…

中國市場股票技術指標均值回歸
MQL5 code base

This brief note describes ExTrend_Cloud_HTF, a version of the ExTrend indicator with a timeframe setting. Users can select the chart period through an input parameter, with a four-hour period shown as the default example. The document says the indicator…

技術指標
MQL5 code base

This indicator estimates buying and selling pressure from each candle’s range around its open. Buying pressure is defined as the high minus the open, while selling pressure is the open minus the low. Prevailing pressure is set to whichever of those two…

技術指標統計
MQL5 code base

This document outlines an expert advisor intended for XAUUSD on a 15-minute chart. It combines RSI entry filtering with recovery entries spaced according to ATR, plus market-structure checks based on lower lows, lower highs, and support conditions. Position…

大宗商品技術指標波動率風險管理
BigQuant

This note discusses market style and public mutual fund positioning in Chinese equities. It compares the share of CSI 300 constituents within the broader CSI 800 universe, reporting that the share was 81% at the time of the note. It also cites two recent…

股票中國市場投資組合建構
MQL5 code base

This document describes a MetaTrader 5 script that opens a buy or sell position at the current market price and attaches a stop-loss and take-profit when placing the order. The stop-loss and take-profit distances are specified in pips, and the script also…

交易執行風險管理部位規模
SuperMind

This proposed stock screen selects shares with an amplitude above 1, three moving averages in a bullish ordering, and a ratio of active buying volume to active selling volume above a threshold. The article names amplitude and moving-average indicators and…

股票中國市場技術指標市場微結構
SuperMind

This proposed A-share stock screen filters for companies with turnover between 3% and 12%, market capitalization below 10 billion yuan, and no losses, then selects stocks with daily returns from −5% to 2.6%. The accompanying formula and Python example…

股票中國市場因子投資回測
Qlib

This configuration defines a Qlib workflow for training a TabNet model on Alpha158 features for CSI 300 stocks, using Chinese market data and the CSI 300 index as benchmark. It sets a historical data window, separates fitting, validation, and test periods,…

股票中國市場機器學習回測
SuperMind

This note outlines a Chinese equity screen that combines a minimum listing age, an amplitude condition, and return on equity above a threshold across five consecutive years. It explains ROE as a measure of profitability and capital use, and includes an…

股票中國市場因子投資
SuperMind

This note describes a Chinese equity screen for companies in the metaverse theme, with a minimum floating market capitalization and price and valuation limits. Its final version adds a price-to-earnings threshold to the theme, capitalization, and low…

股票中國市場因子投資
MQL5 code base

The described Expert Advisor seeks reversal trades by checking for divergence in RSI, MACD, and the Stochastic Oscillator. It uses a configurable minimum confirmation count, so a signal can require agreement from multiple oscillators rather than relying on a…

技術指標動能風險管理
ProRealCode

The Pollan indicator combines the Commodity Channel Index and Relative Strength Index by comparing their values across a fixed window of historical bars. It forms two oppositely oriented series from the CCI–RSI and RSI–CCI differences, with a coefficient…

技術指標均值回歸回測
Stratmill research code

The document describes a software implementation of the Johansen cointegration method for forming mean-reverting portfolios from asset prices. It computes cointegration vectors, orders them by eigenvalue, and converts each vector into hedge ratios normalized…

均值回歸統計投資組合建構
SuperMind

The document proposes screening Chinese stocks for a turnover rate between 3% and 12%, a ten-day gain above zero and below 35%, and a listing age greater than one year. It says to run the screen before 10 a.m. The stated rationale is to combine trading…

股票動能中國市場技術指標
MQL5 code base

The document explains TWR as a candle-reconstruction indicator: it uses the previous bar’s color and the current bar’s close while disregarding other price information, then redraws the candle chart around closing prices. In its color convention, red marks a…

技術指標趨勢追蹤統計
MQL5 code base

This short description outlines an Expert Advisor built to demonstrate a trading system using a ZigZag Fibonacci indicator. The indicator places Fibonacci levels and stores their corresponding price values in buffers, allowing an expert program to retrieve…

外匯突破技術指標風險管理
SuperMind

The document describes a short-term Chinese stock screen combining price range, recent trading activity, current volume, and a positive opening gap. Its stated criteria are amplitude above one, previous-day actual turnover between 3% and 28%, current volume…

股票技術指標中國市場動能
SuperMind

The post proposes a stock screen combining a daily high-low range threshold, rising price lows, and return on equity above 15% for five consecutive years. Its rationale is to pair a technical sign of improving price support with a record of strong…

股票中國市場因子投資技術指標
MQL5 code base

The document describes a tool for checking whether a trader’s actions and recent outcomes are associated with subsequent losses. It trains a neural network on eight features from closed trades, then reports validation accuracy relative to a majority-class…

機器學習統計風險管理部位規模