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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
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

12,226 份文件

SuperMind

This article argues that divergence and MACD crosses are best interpreted as signs of changing momentum, rather than as automatic buy or sell commands. It describes divergence as evidence of countertrend activity, with the strength of that activity helping…

技術指標動能趨勢追蹤風險管理
SuperMind

This Chinese stock screening example combines three filters: membership in the metaverse concept group, a closing price above the previous day’s low, and a closing price below 12 yuan. It presents the first condition as a way to focus on a market theme, the…

股票技術指標部位規模風險管理
SuperMind

This stock-selection idea screens shares with codes beginning in 60, average turnover between 3% and 12%, and KDJ readings below 20. The article frames the low KDJ values as a possible sign of a decline and potential reversal, and provides a formula…

股票中國市場技術指標均值回歸
SuperMind

The proposed screen selects stocks in the metaverse industry with a stated circulating share float ceiling, then applies a daily candle condition. The article defines its “reversal” pattern as an opening price above the previous close followed by a close…

股票技術指標中國市場
SuperMind

The document describes a Chinese stock screen combining moderate turnover, at least one limit-up event in a recent lookback window, and a ranking based on net large-order flow. The stated rationale is that turnover approximates trading activity, a recent…

股票中國市場市場情緒市場微結構
SuperMind

This note outlines a stock screen for companies with positive net profit and market capitalization below a stated ceiling, combined with a daily amplitude threshold and a prior-day 9:15 matching-price condition described as limit-down behavior. The article…

股票中國市場波動率
SuperMind

This note describes an equity screen that combines daily price movement with company profitability and a Bollinger Band condition. It seeks stocks with an amplitude above 1, return on equity above 15% for five consecutive years, and a close between the…

股票技術指標因子投資
SuperMind

The post outlines a Chinese-equity screening rule that combines daily price range, a stock-code prefix beginning with 60, and a recent large upward move. It also suggests sorting qualifying stocks by market capitalization and provides example implementations…

股票中國市場動能技術指標
SuperMind

This community post outlines a China A-share stock screen that excludes Beijing-listed companies and selects stocks with turnover between 3% and 12% and a positive but limited recent price gain. It then proposes refining the candidates using net profit…

股票中國市場動能因子投資
SuperMind

This Chinese-language post describes an A-share screening idea that combines daily turnover between 3% and 12%, a newly formed KDJ bullish crossover, and a company-type filter. It frames turnover as a liquidity condition and the KDJ signal as a short-term…

中國市場股票技術指標動能
SuperMind

This proposed Chinese equity selection rule screens for stocks with turnover between 3% and 12%, then requires the product of the day’s percentage price change and net buying flow attributed to very large orders to be positive. Eligible stocks are ranked by…

股票中國市場動能市場情緒
SuperMind

This stock-selection screen filters for turnover between 3% and 12%, circulating market capitalization between 1 and 55 in the stated units, and at least one daily gain of 10% or more during the previous 25 trading days. The post gives both a formula-style…

中國市場股票動能技術指標
SuperMind

The proposed equity screen selects stocks with RSI below 65, seven consecutive down sessions, and a 20 day moving average above the 120 day average. The combination looks for a recent pullback within a longer-term upward trend, using the RSI threshold as an…

股票技術指標均值回歸趨勢追蹤
SuperMind

The document presents a Chinese stock selection rule combining daily amplitude above 1, a morning-star pattern, and weekly MACD above zero. Its indicator examples add moving-average ordering and other price, volume, and size conditions. The intended…

股票中國市場技術指標動能
SuperMind

The document describes a Chinese equity screen requiring a position increase above 5%, evidence of large-investor control on the prior day, and a gain below 6% at 9:25. Its rationale is that rising holdings may indicate inflows, institutional ownership may…

股票中國市場技術指標動能
SuperMind

This stock screen combines three filters: a daily price range above a stated threshold, the closing price above its five-day moving average, and a dividend payout ratio above 25% for 2019. The article presents the range condition as a way to find stocks…

股票技術指標波動率中國市場
SuperMind

This stock-selection idea filters for companies in the metaverse industry, then looks for a rising five-day moving average and a potential start of a strong advance. The proposed rules combine an industry classification with price and volume conditions,…

股票動能技術指標中國市場
SuperMind

This Chinese equity screening idea combines three signals: today’s position increase share above 5%, the product of daily return and net large-order volume above 0.5, and a shortening MACD histogram green bar on a 15-minute chart. The document interprets the…

股票中國市場技術指標動能
SuperMind

The strategy selects stocks in the metaverse industry that recorded a limit-up within the prior 25 days and have turnover between 3% and 12%. It calls for screening before 10 a.m. and selecting stocks eligible to trade that day. The cited formula also…

股票中國市場技術指標突破
SuperMind

The document outlines an equity screen combining turnover, circulating market capitalization, and a morning star candlestick pattern. Its stated criteria use a turnover range of 3% to 12%, a circulating share count cap of 5.5 billion shares in the headline,…

股票技術指標風險管理
SuperMind

The document describes a Chinese A-share screening approach for Shenzhen main-board stocks. It selects shares with amplitude above 1, price-to-earnings ratios from 0 to 29.01, price-to-book ratios from 0 to 3.11, market capitalization below 10 billion yuan,…

股票中國市場因子投資技術指標
SuperMind

This strategy selects the ten lowest-priced eligible stocks within the SSE 50 universe, excluding special-treatment, suspended, and delisted stocks. It allows each holding to remain open for up to twenty days and sells a stock if its decline exceeds eight…

股票中國市場回測風險管理