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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
Quantpedia
86 份文件
TqSdk
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
Lumibot strategies
7 份文件
QuantRocket
7 份文件
Awesome Quant
1 份文件

搜尋圖書館

12,226 份文件

SuperMind

This note describes a stock screen combining metaverse sector membership, a rounded price pattern, and a share price below 12 yuan. It suggests these filters as a way to identify lower-priced stocks in an emerging industry, and mentions RSI, MACD, and moving…

股票技術指標中國市場
SuperMind

This Chinese community post outlines an equity screen combining three filters: membership in the metaverse theme, positive net buying attributed to major participants during the opening auction, and an appearance on the prior day’s public trading activity…

股票中國市場市場情緒交易執行
SuperMind

This Chinese community post describes a daily stock screen requiring an amplitude reading above 1, a daily percentage change between -5% and -4%, and no limit-up session on the previous day. It presents the conditions as a way to identify volatile stocks…

股票波動率技術指標風險管理
SuperMind

This note outlines a stock screen for beverage and alcohol related companies. It combines turnover between 3% and 12% with an industry classification and measures of buying by large or extra-large orders during the opening auction. The stated rule uses an…

股票中國市場市場微結構風險管理
SuperMind

This note describes a Chinese equity screen combining turnover, order book depth, and institutional trading. It selects stocks with turnover between 3% and 12%, displayed best bid volume above best ask volume, and a positive institutional trading measure. A…

股票市場微結構中國市場風險管理
SuperMind

This brief installment in a multi-factor modeling series contrasts two ways of estimating factor information. It says that Barra-style models typically take factor exposures directly from fundamental or technical data, while academic approaches often…

因子投資統計
SuperMind

This post outlines a Chinese equity screen using three activity and size filters: daily turnover between 3% and 12%, circulating market value between 5 billion and 10 billion yuan, and prior-day opening-auction turnover above 0.26. It gives a technical…

股票中國市場技術指標市場微結構
SuperMind

This Chinese-language post describes an equity screen for metaverse-related stocks. It combines an upward-sloping 30-day moving average with a measure intended to compare aggressive buying volume (外盘) against selling volume (内盘), using a stated threshold of…

股票技術指標動能中國市場
SuperMind

This Chinese-language post describes an equity screen using three conditions: RSI below 65, turnover between 3% and 12%, and at least two limit-up price moves during the prior 500 days. It presents the screen as a way to find stocks with recent strong moves…

股票技術指標動能中國市場
SuperMind

This stock-selection idea combines daily amplitude above 1, positive large-order net volume for at least three consecutive days, and a nonempty outstanding convertible-bond name. The post treats the bond condition as a way to identify companies that have…

股票市場微結構統計中國市場
SuperMind

This short-term stock screen selects shares with daily amplitude above 1, evidence of prior-day large-player control, and a closing price between the 20-period Bollinger middle and upper bands. The post explains that Bollinger Bands use a moving average and…

股票技術指標波動率中國市場
SuperMind

This stock screen combines a metaverse theme filter with RSI below 65 and a 15-minute MACD condition intended to identify a shrinking negative histogram. The post describes it as a way to find short-term trading opportunities in volatile stocks. Its formula…

股票技術指標動能中國市場
SuperMind

This example describes a short-term screen for Chinese stocks assigned to the metaverse theme. It filters for a volume ratio above 1.5 and below 6, a three-day limit-up sequence as of the prior day, and, in its final stated logic, market value below 500…

股票中國市場動能技術指標
SuperMind

This stock-screening example combines a turnover filter, a reversal-style candle condition, and simultaneous moving-average crossover signals. Its stated selection logic requires turnover between 3% and 12%, a reversal pattern, and upward crossings among the…

股票中國市場技術指標動能
SuperMind

This post outlines an A-share screen for stocks with amplitude above 1, excluding ST-designated shares, selected before 10 a.m., priced below 12, and matching a named five-step limit-up approach. The sample Python implementation operationalizes the last…

股票中國市場突破技術指標
SuperMind

This post describes an A-share screen combining an intraday amplitude above 1%, a positive ten-day return below 35%, and an auction gain between -2% and 5%. It frames the amplitude as a measure of movement, the return band as a way to avoid both declining…

股票中國市場動能技術指標
SuperMind

This Chinese stock-screening post proposes selecting A-shares with at least five converging moving averages, a limit-up day within the prior 25 days, and a 9:25 auction gain below 6%. It presents the combination as a way to find stocks with aligned trends…

股票中國市場動能技術指標
SuperMind

This short-term stock screen selects shares when MACD is above zero, short-term moving averages are rising or spreading upward, and the latest price change lies between -5% and 2.6%. The article describes the conditions as a way to combine price trend…

股票技術指標動能風險管理
SuperMind

This tutorial offers practical advice for getting more useful answers from the SuperMind assistant when asking trading and coding questions. It recommends stating the task clearly, providing relevant data formats and context, using precise terminology, and…

股票技術指標機器學習
SuperMind

This stock-selection method combines price range, weekly MACD, and a moving-average crossover. It first looks for stocks with an amplitude above 1, a positive weekly MACD histogram, and a weekly close crossing above its 30-week moving average. The article…

股票技術指標動能突破
SuperMind

This stock selection post describes a technical screen for main board shares. It combines an RSI reading below 65, seven consecutive sessions in which the close is below the open, and a current session gain greater than 1%. The proposed interpretation is…

股票技術指標均值回歸中國市場
SuperMind

This brief description introduces an indicator implementing a trading approach based on Woodies CCI. The stated method is to focus on patterns formed by the Commodity Channel Index in the traded market. It says the approach does not rely on the appearance of…

技術指標期貨
SuperMind

The document describes a simple Chinese equity screening rule. It selects stocks with a daily high-low range of at least one percent, turnover above two percent but below nine percent, and prior-day trading value above sixty million. The stated rationale is…

中國市場股票技術指標交易執行
SuperMind

This stock-selection proposal combines a turnover-rate range of 3% to 12%, a 2021 listing year, and a weekly bullish-bar condition. The article explains the weekly condition using K and D readings above 50, a rising K value, and a positive MACD histogram…

中國市場股票技術指標動能