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
WonderTrader
14 份文件
Alphalens
14 份文件
backtesting.py
11 份文件
Technical Analysis
9 份文件
QTPyLib
8 份文件
Lumibot strategies
7 份文件
QuantRocket
7 份文件
Awesome Quant
1 份文件

搜尋圖書館

3,481 份文件

BigQuant

The study applies machine learning to estimate an optimal rebalancing frequency for pairs trading. It uses minute-level prices for 50 large cryptocurrencies from Binance during 2022 and 2023. For each asset pair, a simulated pairs-trading algorithm…

加密貨幣配對交易機器學習投資組合建構
BigQuant

This Chinese equity screening rule combines a turnover range of 3% to 12%, a positive product of the day’s price change and large-order net flow, and revenue in 2021 at least 10% above revenue in 2018. The post presents the combination as a way to pair…

股票中國市場技術指標統計
BigQuant

This Chinese-language report summary examines intraday price, volume, and trading characteristics using minute data to build factors and compare their behavior in stocks and futures. The factor families include return-distribution statistics such as realized…

股票期貨高頻交易因子投資
BigQuant

This Chinese-language article curates research papers and books on reinforcement learning (RL) in finance. Its examples span trading and market applications, Q-learning combined with Black–Scholes, option hedging and dynamic replication, portfolio…

機器學習選擇權交易執行投資組合建構
BigQuant

The discussion addresses a practical gap between signals based on closing prices and orders that may be impossible to execute at a daily price limit. A trader may see a buy signal when a security opens at its upper limit, or a sell signal when it opens at…

股票回測交易執行市場微結構
BigQuant

The document describes a proposed workflow for using BigQuant to generate planned orders and a separate brokerage terminal to place trades when the account is held outside the broker supported for direct live trading. It retrieves planned orders through…

股票交易執行技術指標
BigQuant

This brief technical-indicator note defines Breakout of Bar using separate lookback windows for highs and lows. Its upper component subtracts the highest prior high over the selected number of days from the current high; its lower component subtracts the…

技術指標突破
BigQuant

The document introduces covariance as a measure of how two assets move together, then outlines a matrix-based approach to portfolio risk. It describes collecting observations for several stocks, calculating each series’ mean, subtracting that mean, and using…

投資組合建構風險管理統計
BigQuant

The document explains how a multi-strategy backtest module combines strategies. It applies user-set weights to the return series from each strategy’s backtest and aggregates those weighted series into a single performance curve. The weight therefore applies…

多資產投資組合建構回測
BigQuant

This study proposes using the roughly 42-month cycle in year-over-year asset-price series to identify broad market turning points. It treats price behavior as a combination of trend, cycle, and random components, and argues that year-over-year log changes…

股票統計技術指標
BigQuant

This report surveys equity factors associated with trading frictions and outlines how academic anomaly research differs from investment-oriented factor research. Academic studies seek a suitable pricing model and portfolios whose returns the model does not…

股票因子投資波動率市場微結構
BigQuant

This debugging note follows an attempt to combine a daily top-ten stock selection strategy with exits when a holding gains about 9% or loses 5%. The author reports that `context.options['data']` is a DataSource and has no `positions` attribute, so it cannot…

股票交易執行風險管理部位規模
BigQuant

This support note investigates why a portfolio log showed a sale on one date while the holding still appeared in positions and no sell signal was visible until the following day. The explanation identifies the test universe’s end-date setting: it extended…

回測股票中國市場統計
BigQuant

This tutorial explains term frequency–inverse document frequency (TF-IDF), a method for assigning greater weight to words that occur often in one document but less often across a corpus. Term frequency captures within-document prevalence, while inverse…

機器學習統計
BigQuant

This study explains combinatorially symmetric cross-validation (CSCV) as a way to estimate the probability that a strategy selected as best in a backtest will rank poorly across alternative partitions of that history. The backtest period is divided into…

回測統計機器學習股票
BigQuant

This study examines a database of 486 patent-derived factors for Chinese listed companies and tests their usefulness in stock selection. It organizes patent information by type, procedural status, metric, and lookback period. Measures include patent counts,…

股票因子投資統計回測
BigQuant

This report studies whether gaps between consensus forecasts for macroeconomic indicators and their released values help explain subsequent returns across asset classes. It places the signal in an allocation framework that combines long-term strategic…

多資產投資組合建構統計回測
BigQuant

This research note examines whether Chinese A-share ownership data can help select stocks. It groups the data into shareholder counts, holdings by the ten largest shareholders, institutional ownership, and major shareholder transactions. Most of these series…

股票中國市場因子投資回測
BigQuant

The article defines an earnings surprise factor, ESP, as the difference between actual and expected quarterly net profit divided by the absolute expected amount. It describes deriving quarterly analyst expectations from annual forecasts under an assumption…

股票中國市場因子投資動能
BigQuant

This research summary considers when event-driven stock signals should be represented as factors within a broader multi-factor model. It cites analyst recommendations, institutional research visits, and restricted-share unlocks as events that may contain…

股票事件驅動因子投資統計
BigQuant

This brief Chinese-language forum entry asks whether stock-selection backtests using random forest classification and a StockRanker ranking model can be trusted when features were not standardized or treated for outliers. The accompanying tag states that…

股票機器學習統計回測
BigQuant

The document explains practical definitions for three functions used in the Guotai Junan Alpha191 factor set. Count is illustrated as summing a binary condition over a rolling window, such as counting days when the current close exceeds the previous close.…

股票統計因子投資
BigQuant

This model seeks to rotate between Chinese equity growth and value styles, represented by high and low price-to-earnings indices. It combines six signals drawn from technical conditions, domestic and overseas liquidity, and periods when equities may be…

股票中國市場因子投資投資組合建構