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
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

MQL5 code base

This indicator adapts Bollinger Bands using recursive smoothing based on the Laguerre-style equations described in the document. It estimates a central line from the median of each bar’s high and low, then builds upper and lower bands from a smoothed measure…

技術指標波動率
SuperMind

The post describes a short horizon stock screen combining daily range, a “morning star” pattern, and a bounded opening price change. Its stated thresholds are amplitude above 1%, with opening change between −5% and 2.6%; the accompanying formula also limits…

股票技術指標動能風險管理
BigQuant

The article compares long and short training windows for an AI stock selection strategy and recommends evaluating each window against a fixed validation period. In its rolling experiments, extending the sample from 2005 to 2021 changed labels, factor…

股票機器學習回測統計
MQL5 code base

This document describes an expert advisor that uses an unusual filter involving the intersection of two moving averages. The user can set a price type for the current bar and choose a signal filter based on the fast average, the slow average, or that bar's…

外匯技術指標交易執行
SuperMind

This Chinese-language post sketches a stock selection approach that ranks shares by trading activity, using volume and turnover as proxies for capital strength, and also considers share price. It proposes selecting highly ranked stocks on these measures,…

股票因子投資統計回測
MQL5 code base

This document describes a MetaTrader expert advisor built around signals from Fractals and Stochastic indicators. Traders can choose to require both indicators or use either one on its own. The listed inputs also allow configuration of position volume, stop…

技術指標風險管理部位規模
MQL5 code base

The document describes momentum deviation as a variation of standard deviation that applies the calculation to price momentum rather than to price itself. It says the method is designed to use minimal CPU resources and produces values similar to standard…

技術指標波動率統計
SuperMind

This Chinese-language post outlines an equity screening rule that ranks stocks by volume ratio and selects the top 100. It also proposes comparing rolling 7-day and 30-day moving averages, describing the filter as requiring the shorter average to be above…

股票技術指標動能
SuperMind

This note presents a Chinese stock screen using two short-term conditions: a daily increase in the share of positions held above 5% and an opening-auction return between -2% and 5%. It also limits the stated sample period to 2021. The document interprets the…

股票中國市場動能技術指標
BigQuant

This submission outlines an intraday stock-selection idea for a day when a market theme is breaking out. It proposes identifying a popular sector early, using large orders that hold at the daily price limit as a sign of a clear direction, then ranking…

股票中國市場交易執行市場微結構
SuperMind

This note describes a stock screen combining metaverse sector membership, a rounded price pattern, and a share price below 12 yuan. It suggests these filters as a way to identify lower-priced stocks in an emerging industry, and mentions RSI, MACD, and moving…

股票技術指標中國市場
SuperMind

This Chinese community post outlines an equity screen combining three filters: membership in the metaverse theme, positive net buying attributed to major participants during the opening auction, and an appearance on the prior day’s public trading activity…

股票中國市場市場情緒交易執行
BigQuant

This Chinese post compiles a selection of 65 titles from a much larger collection of publicly released Springer books, focusing on data and machine learning. The bibliography spans foundations such as algebra, probability, statistics, optimization, and time…

機器學習統計股票
SuperMind

This Chinese community post describes a daily stock screen requiring an amplitude reading above 1, a daily percentage change between -5% and -4%, and no limit-up session on the previous day. It presents the conditions as a way to identify volatile stocks…

股票波動率技術指標風險管理
MQL5 code base

This indicator defines a trend reversal by comparing a bar’s close with the extremes of a preceding window. An upward reversal occurs when the current close exceeds the highs of the previous x minus one bars; a downward reversal occurs when it falls below…

外匯趨勢追蹤突破技術指標
SuperMind

This note outlines a stock screen for beverage and alcohol related companies. It combines turnover between 3% and 12% with an industry classification and measures of buying by large or extra-large orders during the opening auction. The stated rule uses an…

股票中國市場市場微結構風險管理
SuperMind

This note describes a Chinese equity screen combining turnover, order book depth, and institutional trading. It selects stocks with turnover between 3% and 12%, displayed best bid volume above best ask volume, and a positive institutional trading measure. A…

股票市場微結構中國市場風險管理
MQL5 code base

The indicator implements a moving average attributed to Buff Dormeier. It first calculates volume multiplied by closing price, then takes a simple moving average of that value and divides it by a simple moving average of volume over the same configurable…

技術指標
MQL5 code base

Rainbow Clouds is described as a collection of moving averages presented together as cloud indicators. The concept is to display multiple averages as a grouped visual overlay, rather than a single moving-average line. The text does not explain the averaging…

技術指標趨勢追蹤
SuperMind

This brief installment in a multi-factor modeling series contrasts two ways of estimating factor information. It says that Barra-style models typically take factor exposures directly from fundamental or technical data, while academic approaches often…

因子投資統計
MQL5 code base

The document describes a signal engine for detecting when price approaches a channel boundary and then reverses away from the extreme. It distinguishes this two-stage condition from treating mere proximity as an entry signal. A state machine applies…

技術指標突破均值回歸
quant-trading

This notebook demonstrates a Monte Carlo approach to forecasting stock prices with geometric Brownian motion. It estimates drift and volatility from historical log returns, generates many simulated price paths, and splits the price series sequentially into…

股票統計風險管理回測
SuperMind

This post outlines a Chinese equity screen using three activity and size filters: daily turnover between 3% and 12%, circulating market value between 5 billion and 10 billion yuan, and prior-day opening-auction turnover above 0.26. It gives a technical…

股票中國市場技術指標市場微結構
Kraken Learn

This overview introduces PayPal USD (PYUSD), a stablecoin launched in August 2023 for the PayPal payment system. It explains the general collateralization model: an issuer holds reserve assets intended to match the value of tokens in circulation. According…

加密貨幣去中心化金融現貨市場