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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

SuperMind

This note describes a Chinese equity screen combining three conditions: price amplitude above 1, circulating market capitalization above 10 billion yuan, and at least one limit-up event in the prior 25 days. It frames the screen as a way to find larger,…

股票中國市場波動率突破
MQL5 code base

This Expert Advisor uses fast and slow moving averages to determine direction. It opens a buy when the fast average is above the slow average by a configurable minimum distance, and a sell under the opposite condition. The EA can close or retain existing…

外匯技術指標趨勢追蹤網格交易
MQL5 code base

The NRTR indicator tracks price extremes using highs and lows, maintaining a preset distance from the most recently reached extreme. In an uptrend it appears below price, while in a downtrend it appears above price. The offset is intended to ignore modest…

技術指標趨勢追蹤突破
SuperMind

This stock selection approach filters for shares associated with the metaverse theme, then checks for an upward-sloping 30-day moving average and sorts qualifying names by a measure of individual stock interest. The article presents this as a way to combine…

中國市場股票動能技術指標
MQL5 code base

This Expert Advisor opens trades when a colored Sidus indicator arrow appears at a bar’s close. Its entry logic is therefore driven by the indicator’s directional signals, with the signal confirmed only after the bar completes. The document describes the…

外匯技術指標回測
SuperMind

This Chinese stock-selection note proposes screening for price amplitude above 1, large-order net-volume readings above 0.05 over at least three consecutive days, and then ranking by fund strength. It presents the combination as a short- to medium-term way…

股票市場微結構技術指標中國市場
SuperMind

This Chinese stock-screening note combines three ideas: rank stocks by volume ratio as a proxy for fund strength, require the previous day's adjusted turnover rate to exceed 8%, and look for a shortening MACD histogram on a 15-minute chart. It presents the…

股票技術指標動能中國市場
Hyperliquid docs

This documentation describes vaults built on HyperEVM using CoreWriter and precompiles. Builders can create and tokenize vaults with customizable accounting, and may follow standards such as ERC-4626. The described design supports onchain read and write…

加密貨幣鏈上資料現貨市場去中心化金融
SuperMind

This Chinese stock-selection note combines a turnover-rate range of 3% to 12% with a reversal pattern and a signal described as the start of a major advance. Its example formula adds a close-above-moving-average condition and platform-specific filters. The…

股票技術指標動能中國市場
SuperMind

This short-term equity screen combines a large daily range, a recent strong up day, elevated current volume, and an opening price above the prior close. The stated lookback is 25 trading days for the strong-gain condition. The article describes the…

股票技術指標動能突破
BigQuant

This research outline proposes allocating among equity industries by tracking the behavior of different market participants. It motivates industry rotation with the observation that returns can diverge substantially across sectors and styles, so broad asset…

股票中國市場市場情緒投資組合建構
MQL5 code base

The indicator estimates the relative strength of a selected currency from the closing prices of seven currency pairs that contain it. A zero reference line represents the average over a configurable period, and a colored histogram is intended to make the…

外匯技術指標動能
SuperMind

This stock screen combines an amplitude threshold with simultaneous crossovers among three moving-average pairs and at least one limit-up event during roughly the prior month. It is presented as a way to find shares showing strong recent movement and…

股票技術指標動能風險管理
SuperMind

The post describes a stock screen requiring a ticker that begins with 60, turnover between 3% and 12%, and total market value above 200 million yuan. Its Python example retrieves listed-stock information, checks the ticker prefix, and then filters daily data…

股票中國市場
SuperMind

This post outlines a stock selection screen based on three stated conditions: association with the metaverse theme, an upward-sloping 30-day moving average, and turnover between 2% and 9%. The accompanying indicator references and Python example illustrate…

股票中國市場技術指標
BigQuant

The document describes a commodity futures strategy that ranks 28 markets by changes in Twitter-derived sentiment. It calculates daily sentiment from keyword-matched posts using a financial sentiment dictionary, then forms equal-weighted long and short…

期貨大宗商品市場情緒因子投資
BigQuant

This document outlines an event-driven study of how MSCI inclusion announcements affected the prices of Chinese A-shares. It describes estimating CAPM parameters from a historical period, using those parameters and subsequent market index returns to…

中國市場股票事件驅動統計
SuperMind

This document presents a short-term Chinese stock selection rule based on three market activity measures: turnover between 3% and 12%, first-level bid volume greater than ask volume, and a volume ratio between 1.5 and 6. It frames the turnover and order-book…

中國市場股票技術指標市場微結構
SuperMind

This document describes a daily stock screen combining price movement and a basic valuation condition. It selects stocks with amplitude above 1, at least two limit-up events within the prior 500 days, and a positive P/E ratio. The rationale is that recent…

中國市場股票動能技術指標
SuperMind

This Chinese-language article proposes screening mainland-listed stocks for a turnover rate between 3% and 12%, excluding Beijing-listed shares, and requiring a rising-bottom pattern. Its accompanying Python example adds further filters, including excluding…

股票中國市場技術指標風險管理
Lumibot

This strategy organizes research and trading for same-day-expiration bear call spreads through separate agents. A researcher gathers account and market information, checks the listed expiration, contract Greeks, and bid-ask quality, then identifies a short…

選擇權風險管理部位規模交易執行
BigQuant

The document summarizes research on forecasting multiple future steps from limit order book data. Rather than predicting only one future point, the proposed approach uses sequence-to-sequence encoder-decoder networks with attention to generate a path of…

市場微結構機器學習高頻交易交易執行