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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

79,386 份文件

SuperMind

This document presents a stock selection rule for Chinese companies classified in the metaverse theme. It screens for previous-day actual turnover between 3% and 28% and requires the daily MACD difference line to be above its signal line. The text explains…

股票中國市場動能技術指標
MQL5 code base

This document explains a chart indicator that builds Fibonacci levels from successive swings identified by the ZigZag indicator. Keyboard controls move through swings, while users can show, hide, drag, or extend a Fibonacci drawing and edit its levels.…

技術指標波動率外匯
SuperMind

This document describes a Chinese A-share stock screen combining turnover, market capitalization, profitability, and order-flow measures. It selects stocks with turnover between 3% and 12%, market value below 10 billion yuan, positive average earnings per…

股票中國市場市場微結構統計
SuperMind

This stock screen combines three filters: at least five moving averages are described as converging, price-to-earnings and price-to-book ratios fall within specified ranges, and the 20-day moving average is above the 120-day average. The first condition is…

股票技術指標趨勢追蹤因子投資
MQL5 code base

This short description presents a modified display of the Parabolic Stop and Reverse indicator in a separate chart window. Its additional function checks whether the charted instrument has an open position and issues an alert when the SAR signal moves…

技術指標風險管理交易執行
SuperMind

This Chinese-language article outlines an A-share stock screen combining market capitalization, turnover, a KDJ bullish crossover, and a prior-day opening call-auction price near the daily limit-down level. The final stated criteria require market value…

中國市場股票技術指標動能
SuperMind

This stock-selection approach screens companies in the metaverse sector for a bullish MACD crossover and a rising KDJ K value. The post also gives an example implementation that adds a market-cap range, though its code uses a KDJ-based RSI threshold and does…

股票技術指標動能風險管理
ProRealCode

The document describes a short-selling rule set for equities and indices. It opens a short position when the close is below the 200-day moving average and closes have risen for four consecutive days. The position is exited when the close falls below the…

股票趨勢追蹤技術指標回測
Amberdata research

This webinar overview describes a panel discussion about the development of digital asset markets and institutional participation. Its topics include market structure, regulation, trading technologies, institutional entry, and practical approaches to trading…

加密貨幣市場微結構交易執行
MQL5 code base

This brief description introduces a Parabolic Moving Average indicator that displays standard deviation bands. It identifies three user-adjustable inputs: the moving-average period, the price series used for the calculation, and the band deviation. Together,…

技術指標波動率
SuperMind

This proposed A-share screen selects stocks with turnover from 3% to 12%, an opening price within roughly 5% of the ten-day moving average, a latest close at or above that average, and at least one limit-up event in the preceding month. The article frames…

股票中國市場技術指標動能
SuperMind

This Chinese stock-selection proposal filters for turnover between 3% and 12%, a rising DEA signal, and at least one daily gain of 10% or more during the previous 25 trading sessions. The article presents these conditions as a combination of trading…

股票中國市場技術指標動能
SuperMind

This proposed Chinese equity screen combines three conditions: at least five moving averages clustered near the closing price, floating market capitalization above 200 million, and more than two limit-up sessions within ten trading days. The article…

股票中國市場技術指標動能
SuperMind

This stock screen combines daily price amplitude and a controlling-shareholder measure with valuation limits for Shenzhen main-board shares. It selects stocks with amplitude above 1, a stated control measure above 21, price-to-earnings ratios from 0 to…

股票中國市場技術指標風險管理
SuperMind

This stock-selection rule screens for main-board shares with turnover between 3% and 12%, a daily gain above 1%, and a reversal-style candle condition. The stated pattern requires the current open to exceed the prior close while the current close falls below…

股票技術指標突破中國市場
Qlib

This documentation explains formulaic alpha factors: signals represented as mathematical expressions that can be computed from market data. It uses MACD as an example, defining the signal from the difference between short- and long-period exponential moving…

股票技術指標動能機器學習
Awesome Systematic Trading

This strategy ranks U.S. stocks by return on assets (ROA) separately within larger- and smaller-capitalization groups. ROA is defined using quarterly income before extraordinary items divided by assets from the prior quarter. Within each size group, it buys…

股票因子投資投資組合建構美國市場
MQL5 code base

This expert advisor concept uses candle size as a trade filter: when a candle exceeds a configurable pip threshold, it opens a buy trade. If that trade loses, the next trade uses a larger lot, with the scaling factor controlled by the user. The author frames…

外匯風險管理回測
TqSdk

This example demonstrates an iceberg-style execution workflow for a futures contract. The trader chooses a symbol, a total volume, minimum and maximum order sizes, and a buy or sell direction. A target-position task manages orders toward the desired net…

期貨交易執行市場微結構
MQL5 code base

This brief document describes a higher-timeframe version of the HVR indicator. A user selects the indicator’s chart period through an input setting, allowing the HVR display to use a timeframe different from the chart where it is viewed. The description says…

技術指標
MQL5 code base

This document describes an expert advisor built around crossovers between two moving averages, with a third moving average used as a filter. It exposes settings for each average’s period, shift, method, and display color, and describes plotting the averages…

技術指標趨勢追蹤部位規模風險管理
Kraken Learn

This overview introduces rules-based crypto trading and distinguishes discretionary decision-making from systematic strategies that use indicators, algorithms, or automation. It explains dollar-cost averaging as recurring purchases at fixed intervals, then…

加密貨幣技術指標回測風險管理
BigQuant

This brief response addresses preprocessing for deep-learning models applied to stock data, including Boolean values and infinite observations. Its direct recommendation for infinities is to remove them. For broader feature preparation, it lists outlier…

機器學習股票統計
SuperMind

The post describes a Chinese equity screening rule combining a 14-period RSI below 65, a specified range for tradable market capitalization, and a share price below 12. When at least five stocks meet the filters, the example selection function sorts…

股票技術指標動能中國市場