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

3,481 份文件

BigQuant

This research summary outlines a framework for evaluating private index-enhanced funds through their active exposures to risk factors. Because benchmark exposure is inherent to these products, the analysis treats deviations in style and industry exposures as…

中國市場股票因子投資風險管理
BigQuant

This forum post documents a PermissionException encountered when a copied visual stock-selection strategy runs a BigQuant query. The generated SQL joins daily stock bars with basic information, factor, and status tables, then applies universe and factor…

中國市場股票回測交易執行
BigQuant

This research digest summarizes two papers relevant to investment research and portfolio decisions. The first examines analyst skill and influence across products at fourteen mutual fund firms. It reports that buy-side analysts contribute positively to…

股票因子投資投資組合建構風險管理
BigQuant

This research summary compares large language models with a financial word-list method for classifying news sentiment and assessing stock returns. It describes analysis of 965,375 US financial news articles matched with daily stock returns. Models classify…

股票機器學習市場情緒回測
BigQuant

This guide walks through preparing an XRP Ledger account for use with Hummingbot, importing the account into a wallet app, connecting the connector, and checking balances. It also describes editing connector settings to use custom markets or node endpoints.…

加密貨幣做市交易執行現貨市場
BigQuant

This article argues that individual investors can use their ability to move fully into cash to limit exposure during uncertain market conditions. It recommends watching market behavior while sidelined and entering when forced selling by larger investors may…

股票
BigQuant

This brief investment summary argues that the CSI 300 offered an attractive risk-reward profile in a pessimistic scenario. It compares valuation multiples based on different years’ net profits: 12 times using 2015 profits after the circuit-breaker episode,…

股票中國市場統計
BigQuant

The article discusses the “Old Duck Head,” a short-term chart pattern associated with a Chinese trading book that interprets price formations as traces of large operators accumulating or distributing shares. It questions whether that explanation fits modern…

股票技術指標市場情緒
BigQuant

This note explains why querying an entire BigQuant factor table can fail with a permission error. The example selects dates, instruments, and a factor from a named table, then sorts the rows, but the query does not constrain the table's partitions. The error…

股票中國市場
BigQuant

This support discussion explains a factor-analysis failure caused by insufficient coverage of a derived price feature. The feature compares the close with the high-low range and then takes a one-period change. Although feature extraction returned data, the…

因子投資統計回測
BigQuant

This strategy studies a daily selection of ten Chinese main-board stocks ranked by free-float market capitalization, from smallest to largest. It excludes stocks marked ST, suspended stocks, companies listed for less than a year, and listings on the STAR…

股票中國市場因子投資回測
BigQuant

This study builds a text-derived earnings surprise factor, SUE.txt, to capture post-earnings announcement drift in Chinese equities. It uses analyst report titles and summaries related to earnings forecasts, converts them into word-frequency features, and…

中國市場股票機器學習因子投資
BigQuant

The article presents five discretionary rules for managing Chinese stock positions during the opening session. It advises selling after a large gap down fails to recover, adding to a flat-opening stock that holds steady before a volume-backed rise, and…

股票技術指標動能交易執行
BigQuant

This operations manual explains how a desktop terminal turns signals from simulated strategies into live equity trade plans. It describes linking an access credential, reviewing and editing proposed quantity and timing, and explicitly confirming plans before…

股票交易執行部位規模風險管理
BigQuant

This research summary describes a quantitative factor intended to measure listed companies’ competitive advantages using financial statement data. It evaluates the factor across China’s A-share universe, compares its relationship with established quality and…

股票因子投資統計中國市場
BigQuant

This short platform support exchange addresses why assigning equal target weights to five stocks may initially result in positions below the intended 20% per stock. The answer points to a trade-module setting that limits how much volume can be filled and…

股票交易執行部位規模
BigQuant

This article adapts a supervised stock-timing approach to Chinese equities. It describes using nine price- and volume-related features to train a binary classifier: the label is positive when the price 30 trading days later is at least the current price, and…

中國市場股票機器學習統計
BigQuant

This account of a 2021 industry speech discusses how data, algorithms, and execution shape quantitative investing. It frames potential returns as depending on both market inefficiency and statistical methods that identify patterns robust enough to validate.…

機器學習市場情緒統計中國市場
BigQuant

This study evaluates a convolutional neural network that predicts five-day returns across the Chinese stock market. Its baseline uses 2012–2017 data for training and tests on 2018 through October 2021. The authors vary batch size, optimizer, loss function,…

中國市場股票機器學習回測
BigQuant

This research framework measures how crowded equity industries are using price and trading activity. It groups candidate measures into trend-oriented indicators, supplementary volume and order-flow measures, and relative comparisons across industries.…

中國市場股票因子投資動能
BigQuant

This Chinese market report reviews a week of performance across mainland equity indexes, sectors, bonds, convertible bonds, and public funds. Its central quantitative method estimates the trading impact of index constituent changes: for large broad-market…

中國市場股票交易執行市場微結構
BigQuant

The report combines wavelet denoising with a support vector machine to forecast the CSI 300 index time series. It frames market direction as a classification task and price estimation as a regression task, then uses the forecasts to build both long-only and…

中國市場機器學習技術指標回測
BigQuant

The article examines why A-share strategy results in historical tests can differ from live or simulated trading. It groups causes into data problems such as survivorship bias and price adjustments, model problems such as overfitting and crowded factors,…

中國市場股票回測風險管理
BigQuant

This short explanation presents the Chinese candlestick pattern known as “Emerging from Water” as a possible bottom-reversal signal. It forms during a decline or sideways consolidation when a long bullish candle breaks above several short-term moving…

中國市場股票技術指標突破