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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 post describes a Chinese stock selection rule that combines a daily price-range threshold, a newly formed KDJ crossover, and a weekly moving-average trend condition. The intended portfolio contains stocks whose high-low range exceeds one percent, whose…

股票中國市場技術指標動能
SuperMind

The post describes a Chinese equity screen for stocks in the metaverse theme, combining a short-term price condition with a longer moving-average trend filter. Its stated rationale is that prices above a five-day average may reflect near-term strength, while…

股票中國市場技術指標動能
SuperMind

This document proposes a Chinese stock screen focused on companies classified in the metaverse sector. It combines a rounded-bottom, or arc-shaped, price pattern with exclusion of special-treatment stocks and an early-morning selection of five candidates…

股票中國市場技術指標風險管理
SuperMind

This document outlines a technical screen for Chinese stocks using three conditions: at least five moving averages converge, the stock did not close at its daily price limit on the previous day, and its 30-day average is rising. The intended interpretation…

股票中國市場技術指標風險管理
SuperMind

This document describes a Chinese A-share stock screen that looks for turnover between 3% and 12%, excludes Beijing-listed shares, and selects stocks whose opening price is near the 10-day moving average. Its illustrative Python approach narrows the universe…

股票中國市場技術指標
SuperMind

This post outlines a short-term stock screen based on more than two limit-up sessions within ten days and previous-day turnover above 60 million yuan, with candidates ranked by capital-flow strength. It frames these conditions as a way to find active stocks…

股票中國市場動能突破
SuperMind

This Chinese-language post describes a stock screen combining RSI below 65, the product of percentage price change and a large-order net-flow measure above zero, and a share price set at 18.5 yuan. It presents the conditions as a way to combine a technical…

中國市場股票技術指標市場情緒
SuperMind

The document describes a short-term forex approach that opens a position around the transition between trading days, following the direction indicated by the previous day’s candle. It also discusses a script designed to collect statistics on whether a price…

外匯技術指標統計風險管理
SuperMind

The document describes an equity screen centered on turnover between 3% and 12%, a 2021 listing year, and a volume ratio condition. Its stated final rule accepts stocks when the ratio is above 1.5 or below 6; because those conditions overlap broadly, the…

股票中國市場技術指標風險管理
SuperMind

This Chinese-language post proposes a stock screen combining daily amplitude above one, three moving-average crossover conditions, and a requirement involving at least five moving averages. It characterizes the overlap condition as a sign of consolidation…

股票技術指標動能
SuperMind

This stock screen combines high price movement, recent strong gains, and moving-average crossovers. It calls for amplitude above 1, at least one daily gain of 10% or more within the past 25 trading days, and three moving-average golden crosses involving the…

股票動能突破技術指標
SuperMind

This strategy screens stocks in the metaverse industry for a short-term trend condition and a momentum signal: the 20-day moving average must be above the 120-day moving average, and the KDJ indicator must have just formed a golden cross. It proposes…

股票動能技術指標風險管理
SuperMind

This stock selection method combines three filters: daily amplitude above 1, prior-day actual turnover between 3% and 28%, and at least two limit-up days within the past 500 days. The document gives example formulas and Python-style code for applying these…

股票波動率技術指標風險管理
SuperMind

The document proposes screening Chinese stocks for turnover between 3% and 12%, a rising KDJ K line, and classification as related to the metaverse theme. The KDJ condition is expressed as the latest K value exceeding the prior value. The article frames this…

股票動能技術指標中國市場
SuperMind

The document describes a Chinese equity screening rule for main-board stocks. It looks for shares with turnover between 3% and 12%, three consecutive down days, and a gain of more than 1% today. The stated rationale is to find stocks that may be rebounding…

股票均值回歸動能技術指標
SuperMind

The document outlines an equity screen requiring MACD to be above zero, a qualifying company type, and previous-day auction turnover above 0.26. It presents these filters as a combination of technical direction and liquidity: positive MACD is used to find…

股票中國市場技術指標動能
SuperMind

The document proposes screening Chinese A-share stocks in the metaverse industry for an arc-shaped price pattern, then expands the rules to include recent price and volume strength, a monthly moving-average crossover, and an RSI rebound from a low level. It…

股票中國市場技術指標動能
SuperMind

This Chinese stock screen selects shares with turnover between 3% and 12%, at least one limit-up event in the prior 25 days, and three consecutive limit-up sessions as of the previous day. The stated rationale is to find actively traded stocks with recent…

股票中國市場動能風險管理
SuperMind

This Chinese stock selection rule combines three conditions: daily high-to-low amplitude above 1%, a newly formed KDJ golden cross, and a 14-period RSI below 65. The accompanying examples describe calculating the range as the high-low difference relative to…

股票技術指標動能風險管理
SuperMind

This stock selection proposal filters for amplitude above one percent, a positive ten-day price change below thirty-five percent, and turnover between two and nine percent. The post interprets the range as a measure of volatility, the return band as a way to…

股票中國市場技術指標動能
SuperMind

This stock screen combines an amplitude threshold above one percent, an opening auction gain below six percent, and a current high that is the highest across two days. The post frames these conditions as a way to identify shares with short-term upward…

股票中國市場技術指標突破
SuperMind

This technical stock screen combines RSI below 65, three consecutive bearish candles, and a MACD reading above zero. The intended idea is to find stocks that have recently pulled back while the broader indicator remains in positive territory. The article…

股票中國市場技術指標動能
SuperMind

This Chinese equity screening rule selects stocks whose previous day’s price amplitude exceeds 1%, that appeared on the prior day’s trading leaderboard, and that rank among the top five by current-day auction amount. The proposed rationale is that elevated…

股票中國市場波動率動能