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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
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 Chinese-language post outlines a historical stock-selection rule: select shares with turnover between 3% and 12% that recorded seven consecutive daily declines during 2021. It presents this as a way to identify possible rebound candidates after a…

股票中國市場均值回歸技術指標
SuperMind

This Chinese-language post presents a stock screen for companies in the metaverse industry. It combines a newly formed bullish KDJ crossover with a long-term price filter: the prior day’s closing price is described as being above the 250-day moving average.…

股票中國市場技術指標動能
SuperMind

This post describes a technical screen for stocks in the metaverse industry. It calls for three indicators to form bullish crossovers at the same time and for the closing price to exceed the previous session's low. The post's concrete formula and code…

股票中國市場技術指標動能
SuperMind

This post proposes screening Chinese equities for turnover between 3% and 12%, a newly formed KDJ bullish crossover, and at least one daily gain of 10% or more during the prior 25 trading sessions. It frames turnover as a measure of trading activity, the…

股票中國市場技術指標動能
SuperMind

This post describes a Chinese stock-selection screen combining three conditions: current amplitude above a threshold, a prior-day 9:15 indicative auction price at the limit-down price, and prior-day turnover above 60 million. It frames these filters as a way…

股票中國市場市場情緒技術指標
SuperMind

This overview explains chip distribution as the estimated quantity of shares held across different purchase-price ranges. A distribution chart is presented as a way to infer where investors’ costs cluster, how concentrated holdings may be, and how those…

股票市場微結構市場情緒技術指標
SuperMind

This stock-selection note combines three filters: amplitude above 1, at least one daily gain of 10% or more in the previous 25 trading days, and actual turnover on the prior day between 3% and 28%. The author frames these conditions as a way to find…

股票動能波動率中國市場
SuperMind

This Chinese stock-screening note describes selecting shares with an amplitude above 1 and a ratio of yesterday’s turnover rate multiplied by today’s auction volume divided by yesterday’s volume between 0.5 and 2. It also requires recent trading data, with…

股票波動率中國市場
SuperMind

This Chinese stock-selection note describes a screen using price amplitude above one percent, company scale above 200 million, and a ten-day return greater than zero but below 35 percent. Its expanded version also requires a positive price-to-earnings ratio…

中國市場股票動能技術指標
SuperMind

This Chinese A-share screening idea combines three conditions: daily price amplitude above one percent, at least one limit-up event during the preceding 25 days, and a positive institutional-direction measure. The accompanying discussion treats volatility as…

中國市場股票技術指標動能
SuperMind

The document describes buying already-listed Chinese convertible bonds at lower prices and selling them higher, including the appeal of same-day trading and lower stated transaction fees than stocks. It contrasts this approach with bond subscriptions and…

中國市場固定收益套利風險管理
SuperMind

The proposed Chinese stock screen combines a 20-day moving average above the 120-day average with RSI below 65 and a revenue ratio above 1.1 for 2021 compared with 2018. It presents the moving-average relationship as a filter for an upward trend, alongside…

股票中國市場動能技術指標
SuperMind

The document describes a zero-lag moving average intended to reduce the delay of a conventional moving average. It forms the indicator by taking twice a first moving average of price and subtracting a second moving average applied to that smoothed series.…

技術指標統計
SuperMind

This research summary describes style drift in active equity mutual funds: departures from a fund’s stated investment mandate that can expose investors to unintended risks. It characterizes style along size, value versus growth, and momentum dimensions, and…

股票因子投資動能風險管理
SuperMind

This stock screen selects shares with an intraday high-low range greater than 1%, a newly formed KDJ golden cross, and a price pattern characterized as arc-shaped. The article interprets the range condition as evidence of volatility, the KDJ cross as a…

股票技術指標動能中國市場
SuperMind

This A-share screening idea combines three conditions: RSI below 65, a circulating market value between 5 billion and 10 billion yuan, and at least one daily gain of 10% or more during the previous 25 trading days. The article explains these as a blend of a…

股票技術指標動能中國市場
SuperMind

This Chinese-language post describes a stock screen combining a positive MACD reading, a favorable but undefined company-quality condition, and a rising sequence of short- to longer-term moving averages. Its indicator formula specifies MACD above zero and…

股票技術指標動能
SuperMind

This Chinese-language post presents a stock-selection screen for companies in the metaverse sector. It requires yesterday’s turnover rate to exceed 8% and current best-bid quantity to be greater than best-ask quantity. The author interprets the order-book…

中國市場股票市場微結構市場情緒
SuperMind

The document proposes a stock screen using turnover between 3% and 12%, a K value below 20, and a positive rise in the KDJ K line. It frames low K as an oversold-style filter and rising K as a short-term improvement signal, then recommends considering…

股票技術指標動能風險管理
SuperMind

The document presents a stock screen combining daily price movement with two momentum indicators. It selects shares whose amplitude exceeds 1%, whose KDJ K value is below 20, and whose RSI is below 65. The accompanying examples describe calculating these…

股票技術指標回測風險管理
SuperMind

This A-share stock-selection rule screens for turnover between 3% and 12%, a positive return below 35% over ten days, and at least five overlapping moving averages. The accompanying formula describes five averages with periods of 5, 10, 20, 30, and 60 days,…

股票中國市場技術指標動能
SuperMind

This Chinese A-share screening example selects stocks with daily amplitude above 1%, rising short-term moving-average behavior, a robotics theme, and circulating market capitalization below 10 billion yuan. It outlines the idea in prose and gives…

股票中國市場技術指標風險管理