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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
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
Binance API docs
45 份文件
Quantopian 講座
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

ProRealCode

This extended Donchian Channel indicator plots the rolling high and low boundaries, calculated over a configurable period and shifted by a selected number of bars. It presents the channel in three forms: directly on the price chart, as a centered oscillator,…

技術指標突破趨勢追蹤
MQL5 code base

The document describes an indicator derived from PanPrizMA Sin leverage 72 that calculates a wave’s phase and amplitude. Phase is expressed in degrees across a full cycle, with a complementary antiphase representation; amplitude is measured in price points.…

技術指標統計趨勢追蹤
SuperMind

This Chinese equity screening proposal filters for stocks with daily amplitude above 1% and a positive ten-day gain below 35%, then ranks qualifying names by a market-attention measure. The rationale is to find stocks showing activity and some recent…

股票動能技術指標市場情緒
SuperMind

This proposed Chinese A-share screen selects stocks with turnover between 3% and 12%, excludes Beijing-listed or Beijing-based names, and uses enterprise ownership or company classification as an additional selection dimension. The accompanying discussion…

股票中國市場因子投資風險管理
BigQuant

This literature summary describes applying classification and regression trees (CART) to cross-sectional stock selection. The motivating advantage is that a tree can represent nonlinear relationships and interactions among variables, which linear models or…

股票機器學習因子投資統計
BigQuant

This weekly Chinese equity research note tracks index-enhancement portfolios benchmarked to the CSI 300, CSI 500, and CSI 1000, and monitors single-factor portfolios within those indices and a public-fund-heavy-stock universe. Its portfolio construction is…

股票因子投資動能投資組合建構
SuperMind

This post proposes screening Chinese stocks for daily amplitude above 1%, a robot-related concept, circulating market capitalization below 10 billion yuan, and a weekly candle condition described as a sufficiently tall red bar. It presents example screening…

股票中國市場技術指標風險管理
SuperMind

This post describes a Chinese equity screen that combines membership in the metaverse theme, positive net buying attributed to large participants during the opening auction, and a share price at or above 18.5 yuan. It sketches implementations using…

股票中國市場事件驅動交易執行
MQL5 code base

The document explains a MetaTrader volume profile indicator that groups trade counts or reported volume by price over chart intervals or a user-selected range. Users can choose range boundaries, data source timeframe, histogram style, and which reference…

技術指標市場微結構統計
BigQuant

This article outlines an approach to improving a random forest stock-selection model through factor screening and parameter experimentation. It first limits the stock universe by excluding firms under special treatment and delisted stocks. Candidate…

股票機器學習因子投資統計
MQL5 code base

This document describes a smoothed Money Flow Index oscillator displayed as a histogram. Its values are mapped to a symmetric range from -50 to +50 to make the display easier to read. Histogram colors can be configured to highlight either breaks beyond…

技術指標動能
SuperMind

This Chinese-language note describes a stock screen based on daily price amplitude above 1%, trading value above 60 million on the previous day, and a positive daily MACD. It presents amplitude and turnover as ways to find active stocks, while MACD is used…

股票技術指標中國市場
MQL5 code base

The document describes a chart indicator that displays three JFATL smooth fast digital filters, each using a different timeframe. Its stated function is to let users view the filters together on one chart, potentially offering a multi-timeframe perspective…

技術指標趨勢追蹤
MQL5 code base

This document introduces a VWAP indicator for intraday trading and describes its use in judging price relative to a volume-weighted average. It notes that algorithmic and institutional traders use VWAP as a reference, while day traders may use it to assess…

技術指標交易執行市場微結構
BigQuant

This document summarizes experiments with a convolutional neural network (CNN) trading model called Deep Alpha. It reports that a seven-layer version performed better than a two-layer version in a same-period comparison, which the authors attribute to…

機器學習統計回測
SuperMind

The document describes a Chinese stock selection rule that combines a technical screen with historical revenue growth. It selects stocks with RSI below 65, a rising MACD signal line (DEA), and 2021 revenue more than 10% above 2018 revenue. The accompanying…

中國市場股票技術指標因子投資
MQL5 code base

The Quantitative Qualitative Estimator (QQE) combines a smoothed Relative Strength Index with fast and slow trailing levels. These levels are based on the variability of the smoothed RSI rather than directly on price ranges. To construct them, the method…

技術指標波動率動能
MQL5 code base

A Recursive Moving Average applies repeated smoothing to a price series, with the number of iterations controlling how smooth the result becomes. The description connects this approach to indicators such as double and triple exponential moving averages and…

技術指標動能統計
SuperMind

This stock-selection method screens shares whose codes begin with 60 and whose turnover rate is between 3% and 12%, then selects those with three consecutive sessions where the close is below the open. It treats a run of down candles as a possible reversal…

股票均值回歸技術指標風險管理
FMZ forum

The article explains a box spread formed from four options at two strike prices: a lower-strike call is bought, a higher-strike call is bought, and puts at the two strikes are sold and bought in the corresponding legs. It presents the position as the…

選擇權套利衍生品定價交易執行
Qlib

This Qlib documentation explains a workflow for preparing financial data for quantitative research. Users convert market data into Qlib’s binary format, derive features with its expression engine, apply more complex transformations through data handlers, and…

股票中國市場美國市場統計
MQL5 code base

This description outlines an expert advisor that adds orders at set grid intervals after an initial position is opened. Traders can configure whether order size increases as the grid expands, and can use RSI and CCI signals at grid steps to filter additional…

網格交易技術指標部位規模外匯
SuperMind

This post describes a stock screen based on a trading-range threshold, three consecutive days of gains, and at least a year since listing. It presents the range condition as a way to find active stocks, the recent gains as a short-term strength signal, and…

股票動能技術指標中國市場
MQL5 code base

This document describes a Tom DeMark-inspired moving average indicator that identifies a likely trend from changes in recent highs or lows. A bullish condition occurs when the current low exceeds prior lows over a configurable trend period; a bearish…

技術指標趨勢追蹤股票