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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 technical stock-selection rule combining a prior-session price range above 1%, an opening price within 5% of the ten-day moving average, and a pattern intended to identify rising lows. Example formulas operationalize the range and…

股票技術指標均值回歸風險管理
SuperMind

This post presents a technical stock screen based on a prior-session price range above 1, current volume above 10,000 lots, an opening price above the previous close, and an auction return between -2% and 5%. Its premise is to find active stocks with…

股票技術指標市場微結構風險管理
SuperMind

This proposed equity screen looks for stocks with amplitude above one percent, a control measure above 21, and seven consecutive down days. Its refined version also requires circulating market capitalization of at least 3 billion. Example implementations are…

股票均值回歸技術指標風險管理
SuperMind

This stock selection proposal combines a daily amplitude threshold, a recent reversal candle pattern, and a measure described as today’s control rate. Its refined rule requires amplitude above one percent, a reversal pattern within the past three days, and a…

股票技術指標波動率回測
SuperMind

This Chinese equity screening example combines three conditions: a price amplitude above 1%, an opening price within 5% of the 10-day moving average, and a closing price of 18.5 yuan. The accompanying explanation associates the range condition with…

股票中國市場技術指標波動率
SuperMind

This Chinese equity screen selects stocks with turnover between 3% and 12%, first-level bid volume greater than first-level ask volume, and an intraday low that falls between 4% and 5% below the closing price. It then limits the output to the first 20…

股票中國市場市場微結構均值回歸
SuperMind

This Chinese stock-screening example combines three filters: rank equities by a capital-strength measure, require strong main-fund control on the previous day, and limit market capitalization to below 10 billion yuan while excluding companies with a history…

股票中國市場市場微結構風險管理
SuperMind

The document proposes a short-term stock selection rule that combines price movement, moving average conditions, and turnover-related data. Its written logic calls for amplitude above a threshold, three moving averages to cross upward in sequence, and a…

中國市場股票技術指標
SuperMind

This post describes a China equity screening idea that combines a metaverse industry filter, a newly formed KDJ bullish crossover, and first-level bid volume greater than ask volume. It provides both a screening-expression example and a Python outline that…

股票中國市場技術指標市場微結構
SuperMind

This A-share screening idea selects companies associated with the metaverse theme, limits the share float, and looks for a newly formed KDJ golden cross. The intended signal is a crossover in which the K line moves above the D line; the screen also specifies…

股票中國市場技術指標動能
SuperMind

This A-share stock screen combines a relative strength index ceiling with a minimum listing age and a positive but capped recent return. The article first describes a ten-day return condition, then presents a final screen using a five-day return instead,…

股票中國市場技術指標動能
SuperMind

This Chinese-language post describes a daily stock selection screen combining MACD, share price, and a volume-shape condition. It calls for MACD above zero, a price below 12 yuan, and a rounded volume pattern over roughly 30 days. The post suggests running…

股票技術指標中國市場
SuperMind

This stock selection rule filters for names with turnover between 3% and 12%, a positive product of the daily price change and net flow attributed to very large orders, and a positive price-to-earnings ratio. The document explains the intended combination as…

股票技術指標市場情緒中國市場
SuperMind

The proposed daily stock screen selects companies with market capitalization below 10 billion yuan, a positive profitability condition, daily MACD above zero, and amplitude greater than one. It describes selecting candidates before the market opens and then…

股票中國市場技術指標動能
SuperMind

This post proposes screening stocks with daily amplitude above 1, an indication of main-force control on the previous day, and weekly MACD above zero. It presents the filters as a technical approach intended to find stocks with potential for short-term…

股票中國市場技術指標風險管理
SuperMind

This post describes a Chinese stock screen for companies classified under the metaverse theme that had turnover above 8% on the prior day and appeared on the prior day’s trading leaderboard. It treats leaderboard inclusion as a signal of notable investor…

股票中國市場市場情緒市場微結構
SuperMind

This post outlines a Chinese equity screen for robotics-related stocks. It combines daily amplitude above 1, free-float shares no greater than 5.5 billion, and circulating market value below 10 billion. The accompanying examples show how to express the…

股票中國市場波動率風險管理
SuperMind

This Chinese stock-selection example screens for turnover between 3% and 12%, circulating market capitalization from 1 to 55 hundred million yuan, and a KDJ K value below 20. It presents the criteria as a way to select stocks, then gives example expressions…

中國市場股票技術指標回測
SuperMind

This Chinese stock-screening post proposes selecting robot-concept equities using four filters: daily high-low amplitude above a threshold, prior-day trading activity above a stated threshold, membership in the robot theme, and circulating market value below…

股票技術指標動能風險管理
SuperMind

This research review examines whether a US equity mutual fund’s performance relates to other funds following its trades. It extends a herding measure to classify funds by how strongly their purchases or sales are followed in later quarters, then compares…

股票統計市場情緒因子投資
SuperMind

This stock-selection rule combines an RSI reading below a threshold, seven consecutive declining sessions, and a signal described as main-fund control or buying on the previous day. The post presents the combination as a way to identify shares using both…

股票中國市場技術指標動能
SuperMind

The document describes a Chinese stock screen combining a turnover-rate range, an outside-to-inside trade-volume ratio above a threshold, and a positive but capped ten-day price gain. It also provides example implementations for a stock-code subset and…

股票中國市場動能技術指標
SuperMind

This Chinese equity screen selects beverage and alcohol-related stocks with turnover between 3% and 12% whose current price reaches the highest high across a two-day window. The stated rationale is to combine moderate trading activity, an industry filter,…

股票中國市場動能突破