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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

12,226 份文件

SuperMind

The post proposes screening Chinese equities for a price range greater than one, excluding stocks marked ST, and selecting before 10 a.m. It adds a five-session limit-up approach and a rounded, arc-shaped chart pattern. Its sample data logic computes a range…

股票中國市場技術指標突破
SuperMind

The post describes a stock screen combining a 14-period RSI below 65, three consecutive candle conditions, and a weekly price crossover involving a 30-week moving average. It presents the setup as a way to find stocks that may rebound after weakness, and…

股票技術指標均值回歸回測
SuperMind

This post presents a stock-selection screen using turnover, circulating share count, and the prior ten-day return. Its initial rule specifies turnover between 3% and 12%, a circulating share count capped at 5.5 billion shares, and a ten-day gain between zero…

中國市場股票動能技術指標
SuperMind

This post outlines a daily, pre-open stock screen that selects shares with MACD above zero after MACD was below zero two trading days earlier, then ranks candidates by a stock-heat measure. It presents the rule as a technical way to find stocks showing a…

中國市場股票技術指標動能
SuperMind

This Chinese stock-screening post describes a rule combining membership in the metaverse industry, a rising custom measure labeled as a rounded-shape condition, and a ranking of stocks by large-order net buying. Its example process retrieves a real-time…

股票中國市場技術指標動能
SuperMind

This A-share screening approach combines turnover between 3% and 12% with a reversal-style price setup and a MACD reading below zero from two days earlier. Its accompanying formula adds further conditions, including price relative to 120-day and 250-day…

股票中國市場技術指標動能
SuperMind

This A-share screening strategy combines three filters: market capitalization below 10 billion yuan, positive profitability, and a 14-period RSI below 65. It also defines a “main upward move start” condition as the 30-day highest high and lowest low…

股票中國市場技術指標動能
SuperMind

This Chinese A-share screening idea combines a daily turnover range of 3% to 12%, at least one limit-up event in the prior 25 days, and a current position-growth ratio above 5%. The article interprets turnover as a measure of trading activity, recent…

股票中國市場動能技術指標
SuperMind

The strategy first switches between the CSI 300 and the ChiNext index based on the changing gap between their performance curves. It describes a widening gap as a signal to buy the stronger index and a narrowing gap as a signal to buy the weaker one, using a…

中國市場股票趨勢追蹤技術指標
SuperMind

This Chinese equity screening idea ranks stocks by a capital-strength measure based on indicators such as turnover and trading value, then filters for at least two limit-up sessions in a 500-day window and a dividend payout ratio above 25% for 2019. The…

中國市場股票動能技術指標
SuperMind

This article proposes selecting stocks with an amplitude above 1, a price above its five-day moving average, and large or extra-large buy orders during the opening auction totaling more than 0.7 million. It combines a volatility-related filter, short-term…

股票技術指標市場微結構中國市場
SuperMind

This article describes an A-share screening rule combining RSI below 65, an external-to-internal trade volume ratio above 1.3, and at least one daily gain above 10% during the preceding 25 trading days. It interprets the RSI threshold as avoiding an…

股票技術指標動能中國市場
SuperMind

The document describes a Chinese equity screening rule that selects stocks with an intraday range above one percent, at least one limit-up day within the prior 25 trading days, and a current volume ratio between 1.5 and 6. Qualifying stocks enter a candidate…

股票中國市場技術指標動能
SuperMind

This short-term stock screen combines daily amplitude, a measure labeled controlling shares, and the closing price’s position relative to Bollinger Bands. The stated conditions are amplitude above one, controlling shares above 21 percent, and a close below…

中國市場股票技術指標波動率
SuperMind

This stock screening idea combines a daily range filter, a weekly MACD trend condition, and a lower daily low. The stated rules require the high-to-low range to exceed one percent of the previous close, weekly MACD to be above zero and above its signal line,…

中國市場股票技術指標動能
SuperMind

This stock selection method combines three daily technical conditions: turnover must be between 3% and 12%, the opening price must be within 5% of the 10-day average closing price, and the 30-day average closing price must be rising. The document presents…

股票技術指標趨勢追蹤
SuperMind

This A-share selection concept filters for turnover between 3% and 12%, market capitalization below 10 billion yuan, and companies described as not loss-making. It then looks for more than two limit-up days within the previous ten trading days. The document…

股票動能突破中國市場
SuperMind

This A-share screening idea combines three conditions: price below 12 yuan, amplitude above 1, and a rising sequence of lows. The document presents the screen as a way to find inexpensive, volatile stocks whose recent lows are moving upward. It includes…

股票波動率技術指標中國市場
SuperMind

The document outlines a China A-share screening rule that combines daily price range, a newly formed KDJ crossover, and a proxy for institutional buying. Stocks enter a candidate pool when the high-to-low range exceeds 1%, the J line crosses above D, and…

中國市場股票技術指標動能
SuperMind

This stock-screening proposal selects shares with an amplitude above a threshold, current volume above 10,000 lots, an opening price above the previous close, and a positive but capped return over ten days. It frames these filters as a way to find active…

股票動能技術指標中國市場
SuperMind

This Chinese stock-screening proposal selects shares with turnover between 3% and 12%, prior-day leaderboard activity, current volume above 10,000 lots, and an opening price above the previous close. Its rationale is to find actively traded, market-attended…

股票動能技術指標中國市場
SuperMind

This proposed stock screen combines three conditions: price amplitude above a threshold, previous-day turnover within a specified range, and positive net large-trade volume for at least three consecutive days. The factors are intended to represent short-term…

股票市場微結構波動率風險管理
SuperMind

This stock selection idea combines a price amplitude filter with simultaneous moving average crossovers. It aims to find shares with notable price movement and a possible shift toward a rising short- or medium-term trend. The screen also restricts selections…

股票技術指標動能中國市場
SuperMind

This stock-selection method combines three filters: MACD above zero, positive trailing price-to-earnings ratio, and a closing price between the Bollinger Band middle line and upper band. The screen is intended to run shortly before each trading day ends. The…

股票技術指標動能因子投資