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

79,386 份文件

SuperMind

The article explains return on invested capital (ROIC), return on equity (ROE), and weighted average cost of capital (WACC) as tools for judging whether a company’s growth creates value. ROIC relates after-tax operating profit to invested capital, while ROE…

股票因子投資風險管理統計
SuperMind

The document presents an intraday stock-selection screen for Chinese equities. It selects stocks with an amplitude above 1, a product of prior-day turnover and the ratio of current auction volume to prior-day volume between 0.5 and 2, and a price rise below…

股票中國市場技術指標風險管理
MQL5 code base

The document describes a technical indicator built from three moving averages: a short-term average displaced forward by three periods, a medium-term average displaced by five, and a long-term average displaced by five. It identifies the periods as 3, 7, and…

技術指標
SuperMind

The post proposes a stock selection rule combining price amplitude above a stated threshold, progressively rising bottom levels, and a bullish weekly bar. It characterizes these as technical signals for price movement and buying interest, then suggests…

股票技術指標動能風險管理
BigQuant

The post reports a BigQuant backtest failure in which the data extraction stage returned zero rows, and the backtest then raised an IndexError while constructing its rebalance schedule. The logs show the sequence from feature processing to an empty extracted…

回測股票
SuperMind

The post describes a way to prompt a language model to produce backtest code for the SuperMind platform: provide platform-specific function documentation, spell out the desired trading logic, and warn against known invalid patterns. Its example requests a…

股票技術指標回測交易執行
BigQuant

This brief BigQuant community post reflects on the challenge of improving a strategy’s Sharpe ratio while also controlling drawdowns. The author’s remarks suggest that judging a strategy by Sharpe alone can overlook the difficulty of managing losses. They…

統計風險管理回測股票
SuperMind

This short-term Chinese stock screen selects shares whose daily price amplitude exceeds 1, whose reported daily control measure has an absolute change above 21, and whose auction-period return lies between -2% and 5%. The post presents these filters as a…

中國市場股票技術指標風險管理
SuperMind

This Chinese equity screening proposal combines a ranking by capital strength with an exclusion for Beijing-listed A-shares and a revenue-growth condition. Capital strength is described broadly using measures such as trading volume, turnover, or order-side…

中國市場股票因子投資
MQL5 code base

The Guppy Multiple Moving Average indicator groups two sets of moving averages to compare shorter-term price behavior with longer-term market direction. Its fast group uses six averages from 3 to 15 periods, while its slow group uses six averages from 30 to…

外匯技術指標趨勢追蹤
SuperMind

This Chinese equities screen combines three price conditions: daily amplitude above 1, a 9:25 price gain below 6%, and a closing price above the previous day's low. The stated intent is to find stocks with some volatility and strength while avoiding an…

股票中國市場技術指標動能
SuperMind

This Chinese stock screen looks for companies in the metaverse industry that also have a robotics concept, recorded a limit-up day during the prior 25 days, and have a free-float market value below 10 billion yuan. The rationale is to combine a recent strong…

股票中國市場突破動能
MQL5 code base

This expert advisor trades after a chosen number of consecutive candles share the same direction: it buys after a bullish run and sells after a bearish run. Version 6 adds configurable exits when the next candle goes against the position, an event the…

外匯突破技術指標回測
BigQuant

This Chinese research summary describes an equity index-enhancement approach using listed companies’ reported revenue by business line. It uses annual and interim report data, then applies Chinese-language keyword extraction and similarity analysis to…

股票中國市場因子投資投資組合建構
ProRealCode

This note describes a way to rescale the Stochastic Momentum Index (SMI) against its recent volatility. It first computes the SMI, then forms upper and lower bands around a 24-period exponential moving average using two standard deviations. The current SMI’s…

技術指標波動率動能
vn.py community

This brief forum post advocates managing market data as files rather than relying solely on a database, particularly when handling large volumes of tick data. The author shares a personal approach using Parquet files and points readers to an implementation…

市場微結構交易執行
SuperMind

This A-share stock screen combines three filters: reported net buying above 5% for the day, three consecutive declining sessions, and a 20-day moving average above the 120-day moving average. The article interprets net buying as possible institutional…

股票技術指標均值回歸中國市場
SuperMind

This stock-selection idea combines a daily turnover rate between 3% and 12%, a reversal pattern described as a price move that recovers after a decline, and a positive daily MACD reading. The article presents the combination as a way to find stocks showing…

股票技術指標動能中國市場
SuperMind

This note describes a simple stock screen built around the 5-, 10-, 20-, 30-, and 60-day moving averages converging. It interprets convergence as a period of price balance that may precede a change in direction, and proposes using the signal to identify…

股票技術指標趨勢追蹤
SuperMind

The post proposes a Chinese equity screen combining a positive MACD reading, positive price change and net large-order flow, and a positive but capped ten-day gain. It gives formulas for MACD, daily price change, large-order net volume, and the ten-day…

中國市場股票動能技術指標
FMZ guides

This guide surveys the languages and visual tools available for building trading strategies on FMZ, including JavaScript, TypeScript, Python, Rust, C++, My language, Pine, Blockly, and Workflow. It describes selected platform features: JavaScript…

回測交易執行技術指標
MQL5 code base

This indicator description explains a way to compare the movements of seven major currencies against the US dollar. Each series is rebased to a common starting point, allowing changes over the selected period to be viewed on a shared relative scale. An…

外匯技術指標
vn.py community

The post asks why Alpha158 labels use different forward-return horizons in two implementations. It compares a label spanning the close at T+1 to the close at T+3 with a Qlib label spanning T+1 to T+2, then relates those choices to China’s T+1 stock-trading…

中國市場股票回測機器學習