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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

79,386 份文件

FMZ forum

This beginner tutorial explains why a live trading system may need to collect its own candlestick history. Some exchanges provide candle data directly, while others may not. The author distinguishes live use from testing: the platform supplies historical…

交易執行市場微結構加密貨幣
Amberdata research

This podcast recap discusses Rated’s work on Ethereum proof-of-stake infrastructure data. Validator assessment uses real-time and historical measures such as uptime, efficiency, and protocol adherence to give operators context for improving performance. The…

加密貨幣去中心化金融鏈上資料統計
ProRealCode

The document describes a modified Aroon oscillator intended to react more quickly to trend changes while smoothing noise. It starts from the difference between Aroon Up and Aroon Down, applies an exponential moving average, and tests a range of gain values…

技術指標趨勢追蹤均值回歸統計
SuperMind

This post describes a basic A-share momentum screen that excludes Beijing-listed stocks and selects for daily amplitude above 1% and a closing price at the two-day high. It frames amplitude and market location as filters and the recent price high as a…

股票中國市場動能技術指標
SuperMind

This post presents a daily, end-of-session A-share selection rule: retain stocks with MACD above zero and turnover between 3% and 12%, then rank them by market heat. It describes positive MACD as a trend filter and heat as a way to identify stocks attracting…

股票中國市場動能技術指標
SuperMind

This document describes a short-term A-share screen combining turnover, recent price declines, and limit-up activity. It selects stocks with turnover between 3% and 12%, three consecutive falling sessions, and more than two limit-up days within the prior ten…

股票中國市場動能技術指標
MQL5 code base

The document critiques trend lines built from DeMark pivot points or Bill Williams fractals when key points are identified using only a minimum-bar rule. It proposes removing that minimum and defining a point's dimension as the smallest count of bars on…

技術指標趨勢追蹤期貨回測
SuperMind

The article proposes screening stocks for a daily price range above 1%, no limit-up close on the previous day, and a positive gain over the preceding ten days below 35%. It presents the range as a way to find more active shares and treats the prior-day…

股票中國市場動能波動率
SuperMind

This stock-selection screen combines turnover, order-book balance, and share price. It selects listed mainland Chinese stocks with turnover between 3% and 12%, first-level bid volume greater than first-level ask volume, and a latest price below 12 yuan. The…

股票中國市場市場微結構技術指標
ProRealCode

The document describes an indicator that compares recent volatility with a longer-term volatility baseline. It calculates standard deviations of close-to-close momentum over short and long lookback periods, then divides the short-period value by the…

波動率技術指標統計
BigQuant

This brief platform support exchange addresses why a historical-data call for the CSI 300 index is not recognized. The response says the newer backtest engine retrieves data through SQL and suggests using the platform’s data interface to obtain index data…

股票中國市場回測
FMZ forum

The essay cautions against treating a single factor as a reliable cause of an investment outcome. It uses stock reactions to restructuring announcements to show that the same news can be welcomed in a bull market and ignored or sold in a weak market. It also…

統計風險管理股票
SuperMind

This document outlines a Chinese-equity screen requiring a stock to belong to the metaverse theme, have positive net buying attributed to major participants during the auction, and show a KDJ K value below 20. The post interprets the KDJ threshold as a weak…

中國市場股票技術指標動能
SuperMind

This document describes an intraday screen for Chinese equities. Its stated filters are turnover between 3% and 12%, at least one limit-up event in the previous 25 days, and exclusion of special-treatment stocks. It aims to identify candidates before 10 a.m.…

中國市場股票技術指標突破
SuperMind

This screen looks for metaverse-related stocks whose turnover is between 3% and 12% and whose candles have closed down for seven consecutive sessions. The document describes the setup as a way to find companies in the metaverse theme after a sustained…

股票中國市場均值回歸技術指標
MQL5 code base

The proposed screen selects stocks with turnover between 3% and 12%, a positive product of the daily price change and net volume attributed to very large orders, and a close above the Bollinger upper band. Its stated rationale is to combine active trading…

股票技術指標動能市場微結構
SuperMind

This system combines the direction of an X-day average of closing prices with price comparisons over two lookback intervals. A buy setup requires the average to be higher than it was Y days earlier, while the latest close is below its level Y days earlier…

股票趨勢追蹤均值回歸技術指標
SuperMind

This stock screen targets companies classified in the metaverse industry. It selects shares where the KDJ indicator has just crossed upward and turnover is between 2% and 9%, with eligible securities checked before 10 a.m. for that day's trading. The…

股票技術指標動能中國市場
SuperMind

This note proposes screening Chinese stocks for prior-day trading-list appearances with buy amounts greater than sell amounts, an amplitude threshold, and membership in a beverage or alcohol-related industry. It presents the combination as a way to capture…

股票市場微結構中國市場技術指標
SuperMind

This note describes a short-term Chinese stock screen using three conditions: amplitude above a stated threshold, a rising-bottom pattern, and more than two limit-up days within a ten-day window. Its stated rationale is to find shares with strong recent…

股票動能技術指標中國市場
SuperMind

This Chinese stock-screening note combines a 14-period RSI threshold below 65 with a recent candle pattern, then ranks qualifying shares by auction value and selects the top five. The stated rationale is to pair a technical condition described as oversold…

股票技術指標中國市場回測
SuperMind

This article outlines a process for developing equity selection rules, from finding market examples and forming a hypothesis to implementing factors, running an initial backtest, reviewing losses, and deciding whether to adjust the logic. It proposes several…

股票中國市場技術指標回測