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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
WonderTrader
14 份文件
Alphalens
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 community post proposes a stock selection rule combining daily price range, a positive but bounded ten-day return, and positive afternoon net inflow from large orders. The stated rationale is to find stocks with some recent appreciation and…

股票動能技術指標中國市場
SuperMind

This stock-selection idea screens Chinese equities associated with the metaverse theme, requires a positive institutional-flow reading, and selects stocks whose closing prices lie between the middle and upper Bollinger bands. The proposed rationale is to…

股票中國市場技術指標動能
SuperMind

This stock-screening idea combines three conditions: amplitude above 1, a change in an institutional trading-volume measure, and at least one limit-up event within the prior month. The accompanying explanation treats volatility as a sign of active trading,…

股票中國市場技術指標動能
SuperMind

These notes summarize ideas from a Chinese trading book through ten named principles and effects. They cover how payment frequency shapes perceived gains and losses, how unknown factors and nonlinear systems complicate market decisions, and how penalty kicks…

趨勢追蹤風險管理統計市場情緒
SuperMind

This post proposes a Chinese equity screen combining price movement and Bollinger Band position. It selects stocks with a daily high-to-low range above a volatility threshold, at least one daily gain of 10% or more during the previous 25 trading days, and a…

中國市場股票波動率動能
SuperMind

The article proposes screening Chinese A shares in the metaverse industry for stocks reported on the prior day’s Dragon-Tiger list and with first-level bid volume greater than first-level ask volume. It interprets the quote imbalance as a sign of positive…

股票中國市場市場情緒市場微結構
SuperMind

The discussion concerns how to retrieve constituent stocks for Tonghuashun industry indices, including index 881129. The original poster says common index, industry, and concept constituent functions did not return the desired codes. A reply suggests…

股票中國市場
SuperMind

This Chinese-language post outlines a stock screen combining price movement, recent strength, and MACD. The initial criteria look for stocks with a large daily high-low range, at least one session with a gain of 10% or more in the recent 25 trading days, and…

股票動能技術指標波動率
SuperMind

This stock selection method screens after each trading day for shares whose MACD histogram is above zero and whose close is above the prior day's low. It then ranks qualifying names by reported stock heat, from highest to lowest, and the example code retains…

股票中國市場技術指標動能
SuperMind

This Chinese equity screening idea selects stocks with an amplitude above 1, a product of yesterday’s turnover and today’s auction volume relative to yesterday’s volume between 0.5 and 2, and a prior-day signal that major market participants controlled the…

股票中國市場動能市場微結構
SuperMind

This document outlines a Chinese equity screen requiring turnover between 3% and 12% and year-over-year growth in net profit attributable to shareholders of the parent company between 20% and 100%. It then ranks qualifying stocks by capital strength, which…

股票中國市場因子投資風險管理
SuperMind

This document describes a Chinese equity screening strategy combining membership in the metaverse sector, a pre-open or opening gain below 6%, and a signal interpreted as institutional buying. Its rationale is to find stocks that institutions may be…

股票中國市場因子投資技術指標
SuperMind

The article presents a short-term stock screen combining positive price change, turnover between 3% and 12%, an outside-to-inside trading volume ratio above 1.3, and a positive product of price change and large-order net flow. Its rationale is that liquidity…

股票市場微結構技術指標動能
SuperMind

This stock-selection idea combines membership in the metaverse theme with a limit on the opening price increase and a history of strong return on equity. The stated screen seeks firms with ROE above 15% for five consecutive years and an opening gain below…

股票因子投資技術指標風險管理
SuperMind

The article explains how WorldQuant’s 101 formulaic alphas combine short horizon price and volume features, often mixing momentum and mean reversion. It distinguishes signals traded on the same day as their latest input from those traded later, and walks…

股票因子投資動能均值回歸
SuperMind

The document outlines a daily pre-market screen for Chinese stocks that combines three conditions: MACD above zero, positive trailing P/E, and a circulating share count no greater than 5.5 billion shares. It interprets positive MACD as a sign of an upward…

股票中國市場技術指標因子投資
SuperMind

This stock-selection rule screens companies classified in the metaverse theme, requiring the prior day’s actual turnover to fall between 3% and 28% and the opening price to be above the ten-day moving average. The article gives the conditions in plain…

股票中國市場技術指標趨勢追蹤
SuperMind

This note proposes selecting stocks in the metaverse theme whose previous closing price is above the 250-day moving average, then applying a filter for company characteristics. It describes the theme as a way to target a popular sector and the long moving…

股票中國市場技術指標趨勢追蹤
SuperMind

This note proposes screening Chinese stocks with positive but limited returns over the prior ten days, a report of main-fund control on the previous day, and at least five converging moving averages. It then revises the screen to use six moving-average…

股票中國市場技術指標動能
SuperMind

This stock screen selects equities with turnover in a stated range, a prior-day appearance on a market trading activity list, and upward-moving averages. The detailed conditions also require a listing history exceeding one year, a close above its ten-day…

股票動能技術指標風險管理
SuperMind

This stock-selection idea combines three filters: price amplitude above a stated threshold, actual turnover from the prior day within a specified range, and exclusion of stocks that closed at the daily upper price limit on the previous day. The document…

股票技術指標回測風險管理
SuperMind

This Chinese stock-selection article proposes combining an RSI reading below 65 with seven consecutive sessions in which the close is below the open, followed by a strong upward move on elevated volume. It describes the final condition as a close near the…

股票技術指標動能突破