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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 Chinese-language post describes an equity screening rule that combines a daily high-low range threshold, five consecutive years of return on equity above 15%, and a KDJ indicator condition below 20. The intended combination is a technical filter…

中國市場股票技術指標因子投資
SuperMind

This stock selection example combines three filters: turnover between three and twelve percent, outside volume greater than 1.3 times inside volume, and a positive institutional direction measure. The article frames turnover as a liquidity or activity…

中國市場股票市場微結構統計
SuperMind

This Chinese stock screen selects listed shares with turnover rates between three and twelve percent, excludes Beijing-listed stocks, and keeps stock codes beginning with 60. The article describes these filters as a way to focus on relatively active shares…

中國市場股票交易執行
SuperMind

This stock selection example combines a daily price range filter with a calendar-year condition and a rising Commodity Channel Index (CCI) pattern. It first looks for a high-to-low range exceeding one percent of the previous close, restricts observations to…

中國市場股票技術指標波動率
SuperMind

This document describes a stock screen intended to find possible trend changes. It looks for equities whose moving averages converge, using at least five averages as the selection condition, and also imposes a limit on the indicated pre-open gain. The…

股票中國市場技術指標均值回歸
SuperMind

This stock selection rule combines a 14-period RSI below 65, price above its five-day moving average, and a reversal pattern. The article’s final formulation calls for three consecutive bearish candles followed by a bullish candle. It presents indicator…

股票中國市場技術指標均值回歸
SuperMind

This document outlines a Chinese equity screen based on an intraday amplitude threshold, exclusion of ST-designated stocks, a five-day high condition described as a limit-up method, and at least two limit-up events over a 500-day lookback. It supplies a…

股票中國市場動能技術指標
SuperMind

This document presents a Chinese equity selection rule requiring MACD above zero, the current high to match a two-day high, and more than two limit-up events within ten days. It explains these conditions as indicators of positive momentum, a nearby price…

股票中國市場動能技術指標
SuperMind

This document describes a Chinese equity screening idea that combines turnover between 3% and 12%, at least one limit-up event in the prior 25 days, a concentration condition, and a minimum market-cap filter. Its stated rationale is to find stocks with…

股票中國市場動能技術指標
SuperMind

This proposed equity screen looks for main-board stocks with turnover between 3% and 12%, a daily gain above 1%, and at least one day with a gain of 10% or more during the prior 25 trading days. The document frames a large recent daily move as a sign of…

中國市場股票動能技術指標
SuperMind

This stock-selection proposal combines three filters: daily price amplitude of at least 1%, turnover between 2% and 9%, and a ratio of buying-side to selling-side volume above 1.3. The author presents amplitude and turnover as measures of price activity and…

中國市場股票技術指標市場微結構
SuperMind

This stock screen targets companies in the metaverse industry that had a limit-up event within the prior 25 days and have a rising DEA indicator. It proposes running the selection before 10 a.m. and choosing stocks for that day. The document includes a brief…

中國市場股票技術指標動能
SuperMind

This note describes selecting stocks with turnover between 3% and 12%, a rising DEA measure, and a 2021 listing date. The proposed rationale is to combine a band of trading activity with a trend signal, while restricting the universe to recently listed…

股票中國市場技術指標動能
SuperMind

This note presents a stock screen combining a daily price range of at least one percent, a volume ratio between 1.5 and 6, and a positive daily MACD condition. The accompanying indicator formula adds a transition check: the prior MACD is below zero while the…

股票中國市場技術指標動能
SuperMind

This note describes an A-share stock screen using RSI below 65, prior-day auction turnover above 0.26, and evidence of trading activity during 2021. It also gives an example implementation that filters circulating market value, calculates RSI from daily…

股票中國市場技術指標市場情緒
SuperMind

The document outlines an equity screening rule that looks for stocks with amplitude above one, rising bottoms, and a high equal to the highest level across two days. It adds a trend filter requiring the close to remain above its 60-day simple moving average,…

股票技術指標動能風險管理
SuperMind

The document proposes a daily Chinese A-share screening rule using three conditions: MACD above its zero line, share price below 12 yuan, and the opening price within five percent of the 10-day simple moving average. It says the screen is run before 10 a.m.…

股票中國市場動能技術指標
SuperMind

This post proposes a Chinese A-share stock screen combining a 14-period RSI below 65, at least two limit-up sessions within 500 days, and a gain over 2021. It presents the criteria as a way to find stocks with prior strong moves while filtering for a less…

中國市場股票技術指標動能
SuperMind

This Chinese equity screen selects stocks associated with the metaverse concept, with a 30-day moving average that is rising and at least one daily gain of 10% or more during the previous 25 trading sessions. The document frames these conditions as a…

中國市場股票動能技術指標
SuperMind

This study presents StockRanker, a supervised learning-to-rank method for selecting Chinese A-shares. It uses gradient-boosted trees to rank the market by expected future return. The input features are derived from seven basic price and volume series using…

中國市場股票機器學習因子投資
SuperMind

This stock selection proposal looks for a reported increase in holdings above 5%, a prior session that did not finish at the daily limit, and a shortening green histogram bar on a 15-minute MACD. The article interprets the position increase as possible…

股票技術指標動能中國市場
SuperMind

This stock screen combines a turnover range of 3% to 12% with a positive product of price change and net large-order flow. It also requires current volume above 10,000 lots and an opening price above the prior close. The accompanying implementation ranks…

股票市場微結構市場情緒中國市場
SuperMind

This stock selection rule combines a daily price move threshold, a minimum listing age, and an upward alignment of moving averages. The formula requires the close to exceed averages from short to long lookback windows, with each average higher than the next.…

股票技術指標趨勢追蹤中國市場