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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

This stock selection approach combines three technical filters: daily price amplitude above one percent, a reversal or engulfing-style candle condition, and a weekly MACD histogram at or above zero. The post presents the combination as a way to seek active…

股票技術指標動能風險管理
SuperMind

This stock-selection idea combines three daily-chart conditions: a price range above a stated threshold, at least two limit-up events during the prior 500 days, and an opening price near the ten-day moving average. The article frames range and limit-up…

股票中國市場技術指標動能
SuperMind

This proposed Chinese equities screen selects stocks with turnover between 3% and 12%, an opening price within 5% of the 10-day moving average, and a recent seven-day low condition. The post presents the combination as a way to find active stocks amid a…

股票中國市場技術指標均值回歸
SuperMind

This post proposes screening Chinese equities using three conditions: buying-pressure share above a threshold, prior-day turnover value above a threshold, and a high dividend ratio in a specified historical year. It frames buying pressure as a sign of…

股票中國市場因子投資回測
SuperMind

This introductory guide lays out five areas for developing quantitative trading capability: mathematics and statistics, programming, financial knowledge, strategy research, and practical testing. It highlights time-series and cross-sectional econometrics,…

統計機器學習回測風險管理
SuperMind

This post presents a short-term stock screen combining price amplitude, a morning-star pattern, exclusion of specially treated stocks, a market-wide limit-up count capped at five, and selection before 10 a.m. It includes a platform formula and Python example…

股票中國市場技術指標動能
SuperMind

The document describes a stock screen that looks for shares with an amplitude above 1, an upward-spreading moving-average condition, and high auction trading value. It ranks qualifying stocks by auction value and selects the top five, aiming to combine price…

股票技術指標動能中國市場
SuperMind

The document outlines a daily Chinese stock screen taken at 14:00. It retains stocks with MACD above its zero line, positive afternoon large-order net inflow and positive popularity, then sorts candidates by popularity from highest to lowest. It gives the…

股票中國市場動能技術指標
SuperMind

The document proposes a Chinese stock selection rule combining current turnover rate, the ratio of external to internal trading volume, and a prior-day opening-auction price condition. It then ranks qualifying stocks by current auction turnover and selects…

股票中國市場市場微結構技術指標
SuperMind

This post proposes screening Chinese stocks by metaverse industry membership, a custom “arc” pattern, and dates within 2021. It describes using industry data and a date filter, then adding technical and fundamental measures for a broader assessment. The…

股票技術指標回測風險管理
SuperMind

This stock-screening concept combines price amplitude above one percent, RSI below 65, and a shortening negative MACD histogram on a 15-minute chart. The text interprets shrinking negative bars as potentially weakening selling pressure and a possible rebound…

股票技術指標動能統計
SuperMind

The document presents a Chinese equity screen combining a turnover ratio from 3% to 12%, appearance on the prior day’s 龙虎榜 (a public ranking of notable trading activity), and a dividend ratio above 25% for 2019. It interprets turnover as a liquidity measure,…

股票中國市場因子投資風險管理
SuperMind

This stock selection rule targets companies in the metaverse sector that recorded a limit-up event within the prior 25 days and show positive large-order net inflow in the afternoon. The document frames the combination as a way to find stocks with recent…

股票中國市場動能市場微結構
SuperMind

This Chinese stock-screening proposal selects equities with turnover between 3% and 12%, an appearance on the previous day’s trading leaderboard, and at least one daily gain of 10% or more during the preceding 25 sessions. It gives equivalent descriptions in…

股票中國市場動能技術指標
SuperMind

This note describes an A-share stock-selection rule combining turnover between 3% and 12%, three consecutive declining sessions, and a close above the prior day's low. The intended pattern is a short-term pullback followed by a close recovering above a…

股票技術指標中國市場風險管理
SuperMind

This note outlines an A-share stock screen based on a daily price range above 1%, excluding Beijing-listed shares, requiring a specified reversal or engulfing pattern, and capping circulating market value at 10 billion yuan. It provides formula and Python…

股票技術指標中國市場風險管理
SuperMind

This note describes a short-term A-share stock screen combining turnover, the opening price relative to the 10-day moving average, and the day's low relative to the previous day's low. It selects stocks with turnover between 3% and 12%, an open within 5% of…

股票技術指標中國市場風險管理
SuperMind

This Chinese stock-screening proposal combines three technical conditions: daily high-low amplitude above 1%, a newly formed KDJ crossover, and weekly MACD above its zero axis. The explanation treats a larger daily range as evidence of volatility, the…

股票技術指標動能趨勢追蹤
SuperMind

This Chinese equity screen selects stocks with turnover between 3% and 12%, membership in the robotics concept, and float market capitalization below 10 billion yuan, while excluding the STAR Market. The post frames the constraints as a way to narrow the…

股票中國市場風險管理技術指標
SuperMind

This proposal screens Chinese stocks using three conditions: daily high-low amplitude above 1%, a reversal or “wrap-up” pattern, and a 2019 dividend ratio above 25%. Its indicator reference defines the amplitude threshold as a one-percent range and describes…

股票技術指標均值回歸中國市場
SuperMind

This Chinese A-share screening proposal combines a recent price-limit event with industry filters. Its stated rule looks for stocks in the metaverse sector that had a limit-up within the prior 25 days and are classified under a beverage and alcohol…

股票動能中國市場技術指標