跳至內容

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
Quantpedia
86 份文件
TqSdk
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 proposed Chinese stock screen ranks stocks by trading-volume strength, excludes Beijing-listed shares, and selects stocks whose bearish MACD histogram bars are shortening on a 15-minute chart. The article interprets stronger volume ranking as a sign of…

中國市場股票技術指標動能
SuperMind

This stock screen combines three conditions: RSI below 65, seven consecutive sessions in which the close is below the open, and turnover between 3% and 12%. The article interprets the RSI threshold as avoiding highly overbought stocks, the repeated down…

中國市場股票技術指標回測
SuperMind

This page introduces a lesson on using correlation coefficients to identify stock candidates for pairs trading and then building a strategy to trade them. It frames correlation as a screening tool for finding potentially suitable arbitrage pairs, followed by…

股票配對交易套利統計
SuperMind

This post presents a Chinese equity screen for main-board stocks. It selects shares with turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders above 20% and up to 100%, and a daily price gain above 1%.…

股票動能因子投資中國市場
SuperMind

This Chinese-language post describes an equity screen using three conditions: price amplitude above 1%, a ten-day gain greater than zero but below 35%, and a positive institutional-flow measure. It explains these filters as seeking stocks with some recent…

股票動能技術指標中國市場
SuperMind

This note proposes a short-term stock screen based on daily amplitude above 1, a condition described as main-force control on the prior day, and a 9:25 a.m. gain below 6%. It interprets the range as a sign of active price movement, the control measure as an…

股票波動率技術指標風險管理
SuperMind

This Chinese-language strategy note describes a stock screen combining RSI below 65, the product of price change and large-order net inflow, and bullish crossovers in three indicators, with MACD, KDJ, and DMA as examples. Its sample implementation also…

股票技術指標動能
SuperMind

This document presents a Chinese equity screening rule that selects stocks with daily turnover between 3% and 12%, parent-company net profit growth between greater than 20% and up to 100%, and tradable shares capped at 5.5 billion. It describes the…

股票因子投資中國市場統計
SuperMind

This Chinese stock-screening note combines daily price movement, a morning-star style candlestick condition, and a ranking based on large-order net volume. Its example code also checks recent moving averages and requires the latest large-order net amount to…

中國市場股票技術指標市場微結構
SuperMind

This stock-selection method filters for shares with turnover between 3% and 12%, a rising K value in the KDJ indicator, and a 2019 dividend measure above a stated threshold. The note presents the combination as a way to pair trading activity and improving…

中國市場股票技術指標動能
SuperMind

This Chinese stock-screening note combines three filters: membership in the metaverse theme, positive net buying by major participants during the opening auction, and a three-session limit-up streak ending the previous day. It presents the screen as a way to…

中國市場股票動能突破
SuperMind

This Chinese-market stock screen combines a metaverse industry filter with Shenzhen main-board eligibility, valuation bounds, and a recent KDJ bullish crossover. It selects stocks with price-to-earnings ratios from 0 to 29.01 and price-to-book ratios from 0…

股票中國市場技術指標動能
SuperMind

This Chinese-language post proposes screening stocks with turnover from 3% to 12%, a rising DEA condition, and at least one limit-up session in the prior 25 trading days. It presents the approach as combining an upward technical signal with recent market…

股票動能技術指標中國市場
SuperMind

This Chinese-language post describes a stock selection rule using turnover and recent price weakness. It screens for shares with turnover between 3% and 12%, seven consecutive declining sessions, and a current maximum decline between 4% and 5%. The article…

股票均值回歸技術指標風險管理
SuperMind

This screening rule looks for stocks with an amplitude above one percent, a current high matching the highest high over two days, current volume above ten thousand lots, and an opening price equal to the high. The document frames the combination as a way to…

股票中國市場技術指標突破
SuperMind

This stock selection idea filters Chinese listed equities to the metaverse industry, ranks candidates by the day’s opening auction amount, and retains those with a positive institutional-flow measure. The stated rationale is to combine trading activity with…

股票中國市場動能交易執行
SuperMind

This A-share screening rule combines three conditions: RSI below 65, tradable market capitalization between 5 and 10 billion yuan, and a ten-day price gain above zero but below 35 percent. The accompanying Python example calculates a 14-period RSI and…

股票中國市場動能技術指標
SuperMind

This A-share stock screen selects names whose prior trading range exceeds a stated threshold, whose opening price is within five percent of the ten-day moving average, and whose registered province is not Beijing. The document provides example formulas and…

股票中國市場技術指標統計
SuperMind

This proposed Chinese equity screen uses turnover, recent price movement, and prior-day actual turnover to identify candidates. Its headline criteria specify a turnover rate between 3% and 12%, a 10-day gain above zero but below 35%, and prior-day actual…

股票中國市場動能技術指標
SuperMind

This chapter overview introduces common built-in MQL5 functions used when developing MetaTrader 5 programs for data handling and automated trading. It outlines array operations, string processing, file access, data conversion, user interaction, mathematical…

交易執行
SuperMind

This note describes a Chinese equity screen combining metaverse and robotics themes with circulating market capitalization filters. Its stated criteria conflict: the opening logic requires capitalization above 10 billion yuan and below 10 billion yuan at the…

股票中國市場
SuperMind

This stock-selection idea combines three conditions: membership in the metaverse theme, a rising 30-day moving average, and a signal of institutional buying. The post also suggests considering valuation measures such as price-to-earnings and price-to-book…

股票中國市場技術指標動能
SuperMind

This proposed screen selects stocks in the metaverse sector when price is above the Bollinger upper and middle bands and the KDJ indicator has just formed a bullish crossover. It proposes running the selection before 10 a.m. and trading the chosen shares…

股票中國市場技術指標動能