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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

MQL5 code base

This brief note describes a higher-timeframe variant of the ColorMFI_X20 indicator. Its main feature is an input that lets the user choose the timeframe used for the indicator’s calculations, with a four-hour period shown as the default. This allows the…

技術指標股票
MQL5 code base

Wave Weis Bar Force is a volume indicator based on Weis wave analysis. It accumulates volume as long as the market direction remains unchanged, then starts a new accumulation when direction shifts. The indicator grades a wave’s intensity by comparing its…

技術指標市場微結構波動率
BigQuant

This article outlines an asset allocation method that combines risk parity with the Black-Litterman framework. Risk parity portfolio weights serve as prior weights, which are used to infer prior expected returns. Short-term momentum views are then…

多資產投資組合建構動能風險管理
SuperMind

This Chinese stock screening note describes a selection rule based on price amplitude, opening auction value, and the previous session’s actual turnover. The initial screen looks for amplitude above 1, ranks stocks by current auction value, keeps the top…

股票中國市場技術指標
SuperMind

This stock screen selects companies listed in 2021 whose ten-day price change is positive but below 35%, while turnover falls between 3% and 12%. The article frames the filters as a way to find stocks with recent gains and constrain the screen to a specified…

股票中國市場動能技術指標
BigQuant

This article explains how to model multi-stock trading as a Markov decision process and train a deep deterministic policy gradient (DDPG) agent with FinRL. The state includes prices, holdings, and cash; actions change holdings through buying, selling, or…

股票中國市場機器學習回測
MQL5 code base

This brief note describes an indicator that plots price speed and acceleration, with an option to smooth the calculations using the Hull moving average (HMA). Users can also display the values as absolute magnitudes, keeping plotted values above zero. These…

技術指標動能
ProRealCode

This indicator guide divides intraday trading into Asian, London, and New York session windows, including separate New York morning, lunch, and afternoon periods. It marks each window’s high and low as chart zones, then extends prior session levels as pivots…

技術指標突破交易執行風險管理
BigQuant

This weekly review summarizes Chinese equity market conditions for the week ending April 3, 2020, then presents Haitong Securities’ market timing, factor, industry rotation, and strategy-performance views. Its evidence includes index returns, valuation and…

股票中國市場因子投資趨勢追蹤
FMZ forum

This introductory guide explains call and put options, the distinction between in-, at-, and out-of-the-money contracts, and key features of China’s 50ETF options, including contract size, exercise style, settlement, and price limits. It emphasizes that…

選擇權衍生品定價波動率風險管理
BigQuant

This brief BigQuant forum exchange concerns errors in a factor-analysis template when a factor’s coverage falls below the platform’s threshold. One concrete cause is division by zero: the expression using the difference between the high and close prices can…

股票統計因子投資
vn.py

This guide explains the CTA strategy workflow in VeighNa Fusion, from connecting to the trading gateway and creating a strategy instance to configuring parameters, initializing, starting, and stopping it. Each instance has its own target contract, parameter…

期貨交易執行風險管理回測
MQL5 code base

MAMACD combines three moving averages with MACD as a directional filter. Two slower averages use low prices, with periods of 85 and 75, while a five-period average uses closing prices. A trade is opened when the fast average crosses both slower averages;…

外匯技術指標趨勢追蹤回測
SuperMind

The document describes a Chinese equity screen that keeps stocks with turnover between 3% and 12% and at least one limit-up event during the previous 25 days, then ranks candidates by individual-stock popularity. It presents the rule as a way to combine…

股票中國市場動能市場情緒
MQL5 code base

The document introduces the Phase Change Index (PCI) as a technical indicator intended to identify transitions among consolidation, rising-price, and falling-price phases. It first frames these states in terms of whether prices remain relatively stable, move…

技術指標趨勢追蹤統計
SuperMind

The document describes a Chinese stock selection rule combining three filters: turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders above 20% and at most 100%, and a prior-day price condition described…

股票中國市場技術指標因子投資
MQL5 code base

This brief note describes a higher-timeframe variant of the Rj Sliding Range indicator for MetaTrader 5. Its stated feature is an input that lets the user choose the indicator’s chart timeframe; the example default is H4. The note also says the underlying Rj…

技術指標
BigQuant

This essay groups purportedly successful stock market participants into six styles: patient traders who wait for rare setups, long-term value investors, specialists focused on one stock, short-term leaders-of-the-hot-sector traders, traders who repeat a…

股票動能風險管理部位規模
SuperMind

This post describes a Chinese equity screening rule that combines prior-day price amplitude above 1%, an appearance on the prior day’s Dragon-Tiger list, and turnover between 2% and 9%. It frames the combination as a way to find volatile, actively traded…

股票中國市場技術指標風險管理
SuperMind

This A-share screening proposal combines three conditions: intraday amplitude above 1%, at least five overlapping moving averages, and a gain below 6% at 9:25. Its explanation treats the overlap and amplitude filters as signals of relatively stable price…

股票中國市場技術指標風險管理
BigQuant

The document summarizes a portfolio construction method that translates target macroeconomic factor exposures into asset weights. It considers six factors: equity, real interest rates, credit, inflation, emerging markets, and commodities. A standard linear…

多資產因子投資投資組合建構統計
SuperMind

This A-share screening idea selects stocks in the metaverse industry with circulating share capital no greater than 5.5 billion shares and a maximum decline for the day between 4% and 5%. The stated rationale is to find candidates for a possible short-term…

股票中國市場均值回歸技術指標
SuperMind

This A-share screening proposal combines membership in the metaverse industry with a curved price formation and a control-ratio threshold. It then adds a monthly MACD condition and a long-horizon moving-average crossover. The article describes the screen as…

中國市場股票技術指標動能