跳至內容

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
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 screen uses three market-activity filters: amplitude of at least 1%, turnover above 2% and no more than 9%, and relative volume above 1.5 but below 6. The intended effect is to identify stocks with meaningful price movement and elevated,…

股票技術指標市場微結構波動率
SuperMind

This stock screen combines a price-amplitude threshold, a low K-line reading described as an oversold condition, and MACD above its zero line. The stated rationale is to find active stocks that may be oversold while retaining an indicator associated with an…

股票技術指標動能回測
SuperMind

This stock selection proposal combines a daily price-amplitude threshold, return on equity above 15% for five consecutive years, and a reversal or engulfing-style price factor. It presents the combination as a way to pair active price movement with a record…

股票技術指標因子投資風險管理
SuperMind

This document describes a Chinese stock screen combining turnover, year-over-year net profit growth attributable to parent-company shareholders, and bullish technical crossovers. It specifies turnover from 3% to 12%, profit growth above 20% and at most 100%,…

股票中國市場技術指標動能
SuperMind

This Chinese-language post describes a stock screen combining a 14-period RSI below 65, displayed bid-side volume greater than ask-side volume, and three consecutive daily declines in closing price. It presents the rules as a way to identify stocks in a…

股票技術指標均值回歸動能
SuperMind

This daily stock screen selects shares with MACD above zero, a K value below 20, and ranks qualifying names by individual stock popularity or heat. The article describes running the screen after the market opens. Its rationale treats positive MACD as a…

股票中國市場技術指標動能
SuperMind

This stock selection method combines three filters: capital flow strength ranked from high to low, a weekly five-period moving average crossing above the ten-period average, and the daily 20-day average staying above the 120-day average. The moving average…

股票中國市場趨勢追蹤技術指標
SuperMind

The post describes a stock screen requiring MACD above zero, a positive price-to-earnings ratio, and positive institutional direction. It treats the MACD filter as an upward-trend signal, positive earnings valuation as a basic financial condition, and the…

股票技術指標動能統計
SuperMind

This post proposes a short-term A-share screening rule that combines MACD above zero, upward-diverging moving averages, and a volume-based condition. The volume condition multiplies the prior day’s turnover rate by the ratio of today’s auction volume to the…

股票技術指標動能中國市場
SuperMind

This document outlines a technical A-share screen using RSI below a threshold, an external-to-internal trading volume ratio above a threshold, and a positive weekly MACD histogram. The accompanying explanation interprets the RSI condition as avoiding an…

股票中國市場動能技術指標
SuperMind

This document presents an A-share selection rule combining a metaverse-sector classification, elevated prior-day turnover, and a stock-code prefix. Its final stated logic also ranks candidates by market value and selects the top portion. The accompanying…

股票中國市場動能技術指標
SuperMind

This note proposes a short-term A-share screen requiring price amplitude above 1%, a daily decline between 4% and 5%, and a sequence of higher recent lows. The rising-low condition is intended to identify stocks whose short-term price floor is moving upward…

股票中國市場技術指標均值回歸
SuperMind

This note outlines an A-share stock screen based on daily price amplitude above 1%, a share price of 18.5 yuan, and a rising K value from the KDJ stochastic indicator. It presents the amplitude threshold as a way to find stocks with notable price movement…

股票中國市場技術指標動能
SuperMind

This note describes a daily A-share stock screen combining three filters: MACD above its zero line, a share price below 12 yuan, and previous-day trading value above 60 million yuan. It says the screen is run before the market opens and presents the turnover…

股票中國市場技術指標動能
SuperMind

This post presents a Chinese equity screen based on price amplitude above 1%, excluding Beijing-listed shares, and auction turnover above 0.26%. Its proposed refinement also filters for prices within 2% of a 60-day moving average and adds positive valuation…

股票中國市場技術指標動能
SuperMind

This post outlines a Chinese stock screen using daily amplitude, a reversal-style candle condition, and a fixed closing price of 18.5 yuan. It provides both an indicator formula and Python example, with the latter also invoking candlestick pattern functions.…

股票中國市場技術指標均值回歸
SuperMind

This post describes a Chinese equity screen combining daily price movement, trading activity, and valuation. It selects stocks with amplitude above 1%, current volume above 10,000 lots, a higher open, and Shenzhen main-board listing, while requiring…

股票中國市場波動率因子投資
SuperMind

The document proposes screening equities for a daily high-to-low range above one percent, a reversal or engulfing-style pattern, and then sorting selected names by a popularity measure. It frames range as a way to find volatile stocks, the pattern as a…

股票技術指標波動率市場情緒
SuperMind

The document describes a stock screen combining membership in the metaverse sector, a minimum circulating market capitalization, and weekly MACD above the zero line. Its stated rationale is to find larger companies in that sector whose trend indicator is…

股票技術指標趨勢追蹤中國市場
SuperMind

This equity screen looks for stocks with turnover in a specified range, a rising K value from the KDJ indicator, and greater displayed volume at the best bid than at the best ask. The article explains these as filters for trading activity, short-term…

股票技術指標市場微結構
SuperMind

This stock-screening idea combines daily range, a rising-bottom condition, and three consecutive declining closes. The article also gives a more specific indicator version using trend and Bollinger Band filters, then proposes selling when price or a candle…

股票技術指標均值回歸風險管理
SuperMind

This post describes an A-share stock screen combining a daily price-amplitude threshold, a nonempty convertible-bond name field, and a company classification filter that can be configured for criteria such as industry or state ownership. It proposes ranking…

股票中國市場因子投資技術指標
SuperMind

This stock-selection proposal combines three filters: RSI below 65, year-over-year growth in net profit attributable to parent-company shareholders above 20% and no greater than 100%, and exclusion of stocks that hit the daily limit-up on the prior day. It…

股票中國市場技術指標動能
SuperMind

This note describes a stock screen that combines an amplitude threshold above 1, a MACD reading above its zero line, and a closing price equal to 18.5 yuan. It frames amplitude as a measure of price movement and MACD’s position as a bullish signal, while…

股票中國市場技術指標波動率