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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 A-share screening idea combines three conditions: RSI below 65, a ratio of outside-market to inside-market volume above 1.3, and an opening price near the 10-day moving average. The accompanying example translates these filters into a…

股票中國市場技術指標動能
MQL5 code base

This short description presents a script for analyzing candlesticks over a selected period. It identifies the five candles with the greatest amplitude among bullish candles and the five greatest among bearish candles. The stated purpose is to help traders…

技術指標風險管理統計
Zipline

This release note describes changes to Zipline, a Python framework for running algorithmic trading systems. It adds command-line and IPython notebook ways to execute algorithms, plus a history function that supplies rolling market data to a strategy. The…

回測風險管理部位規模交易執行
MQL5 code base

This brief indicator description introduces KiS_max_min_Avg, an MQL4 tool that draws a channel with a colored background. Its center line changes color to reflect the active market trend, giving traders a visual way to inspect price movement within a…

技術指標趨勢追蹤
SuperMind

This Chinese stock-screening post describes selecting shares priced below 12 yuan, with turnover between 3% and 12%, and a pattern it calls a reversal or “wraparound” candle. Its indicator conditions include a low price threshold and an RC value no greater…

股票技術指標中國市場回測
MQL5 code base

METRO_Sign is described as a semaphore-style signal indicator built from the color-change algorithm of the ColorMETRO_Stochastic indicator cloud. Its stated signal basis is therefore a change in the cloud's color; the supplied text does not specify how those…

技術指標動能
MQL5 code base

This Expert Advisor combines a moving average with MACD. The moving average acts as a trend filter, while MACD provides trading signals. When a new signal calls for an opposite position, it also serves as the instruction to close the existing position.…

技術指標趨勢追蹤動能部位規模
MQL5 code base

This short description defines a geometric moving average calculated from the average of a bar’s open, high, low, and close prices over a selected period. The only configuration detail given is the period used in the calculation. It is therefore a basic…

技術指標統計
SuperMind

The post proposes screening Chinese stocks for MACD above zero, upward separation of short moving averages, and a prior-day auction turnover condition. It presents the combination as a way to select for positive momentum while using trading activity as a…

中國市場股票動能技術指標
MQL5 code base

This brief indicator description explains how to display the minimum price found over a selected number of bars on a chosen timeframe. Its inputs let the user choose the timeframe, search period, starting bar, and the drawn level’s name, comment, color, line…

技術指標多資產
MQL5 code base

This MetaTrader 5 indicator visualizes confirmed swing points, breaks or shifts in market structure, and active bullish or bearish order blocks. Users can configure pivot sensitivity, the number and projection length of zones, colors, chart markers, and a…

技術指標市場微結構風險管理
SuperMind

This stock-selection note describes a short-term screen for Chinese equities based on three conditions: turnover between 3% and 12%, a ratio of outside to inside trading volume above 1.3, and a closing price above the previous day’s low. The combination is…

中國市場股票技術指標市場微結構
BigQuant

This 2019 strategy review discusses how Chinese equity quant investors might respond to a weak market and changing asset-management conditions. It questions the near-term outlook for multi-factor approaches, noting that technical factors could remain under…

中國市場股票因子投資突破
MQL5 code base

This short description introduces a moving-average indicator that separates its output into bullish and bearish components and displays them in a separate chart window. It is intended as a way to inspect directional information derived from a moving average,…

技術指標
BigQuant

This research note examines shifts between large-cap and small-cap leadership in Chinese equities, using the CSI 300 and ChiNext indices as proxies. It argues that rotation can reflect macroeconomic conditions, industry trends, and market sentiment, and that…

中國市場股票機器學習統計
MQL5 code base

This tutorial outlines a two-moving-average crossover expert advisor. It exposes configurable fast and slow periods, position size, minimum equity, slippage, and fixed take-profit and stop-loss distances. Initialization checks that the parameter values are…

技術指標外匯風險管理交易執行
BigQuant

This review summarizes research spanning equity market microstructure, institutional holdings, crypto momentum, dynamic-graph forecasting, and reinforcement learning for limit-order-book trading. In equities, one study groups trades by their timing relative…

股票加密貨幣動能機器學習
Amberdata research

This research roundup describes several quantitative finance studies. One classifies equity trades by their short-term co-occurrence with other trades and standardizes associated order imbalances into conditional order imbalance measures. These measures…

股票加密貨幣動能機器學習
BigQuant

The paper examines three possible asymmetries between monetary policy and real activity: differences between positive and negative shocks, large and small shocks, and negative shocks under low-variance conditions. It links these patterns to sticky wages and…

統計美國市場
BigQuant

This research summary studies iron ore returns using factors from the commodity supply chain as well as macroeconomic variables. It groups fundamental drivers around supply, demand, inventories, and costs, and reports findings from a vector autoregression…

大宗商品期貨統計回測
SuperMind

The post proposes a Chinese equity screen combining daily price amplitude, afternoon large-order net inflow, and a record of high return on equity over five years. It frames the criteria as a mix of price activity, money flow, and company profitability, and…

中國市場股票因子投資市場情緒
vn.py community

This tutorial explains how to convert a discretionary futures idea into a specification a program can follow. Its five elements are signal timeframe, entry rules, exit rules, position size, and behavior in edge cases. It emphasizes separating directional…

期貨技術指標突破部位規模
BigQuant

The document shows a Chinese A-share strategy that ranks stocks using market capitalization, float capitalization, and closing price, then selects a small target list. It filters for smaller float capitalization, sufficient listing history, and nonnegative…

中國市場股票因子投資交易執行
SuperMind

The article proposes a Chinese-equity screen that combines a price-range condition, a named morning-star signal, and a historical dividend payout ratio above a stated threshold for 2019. It frames the combination as a way to identify shares with short-term…

股票技術指標因子投資