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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

20,364 份文件

Quant Q&A

The answer identifies a gas-fired power plant’s spark spread—the relationship between electricity revenue and the gas cost required to generate it—as a central exposure. It describes over-the-counter spread options as a way for a plant operator to hedge this…

大宗商品期貨選擇權風險管理
Quant Q&A

The accepted answer explains how to minimize conditional value-at-risk, also called expected tail loss, using a scenario-based linear program. It introduces portfolio weights, a variable representing the value-at-risk threshold, and one auxiliary variable…

投資組合建構風險管理統計回測
Quant Q&A

The document describes a simulation designed to compare covariance transformations for minimum-variance portfolio construction. For each lookback window, the author samples portfolios of 100 assets, estimates a sample covariance matrix, transforms it, and…

投資組合建構統計風險管理回測
Quant Q&A

The document proposes a quadratic program for finding an efficient frontier between expected alpha and a portfolio’s residual variance relative to a benchmark. It expresses residual variance as portfolio covariance risk less the benchmark variance scaled by…

投資組合建構統計風險管理
Quant Q&A

The document frames an out-of-sample estimation question for a cointegration pairs strategy. In sample, the proposed workflow applies the Engle–Granger two-step procedure, estimates a hedge coefficient for the spread, and standardizes that spread using its…

配對交易均值回歸統計回測
Quant Q&A

The discussion collects several ways to transform stock prices for analysis. Suggested measures include log prices, price deviations from a mean, standardized deviations using a standard deviation, log-price deviations from a mean, log returns, percentage…

股票統計配對交易回測
Quant Q&A

The discussion explains reflexivity as a feedback loop: traders form expectations from information and prices, act on those expectations, and thereby change prices and later beliefs. It points to Keynesian beauty contests, game theory, agent-based models,…

市場微結構統計交易執行市場情緒
Quant Q&A

The document compares two CAPM regression forms: one uses the asset's return in excess of the risk-free rate, while the other regresses the raw asset return on the market's excess return. It explains that, when the same observations and regressors are used,…

股票統計因子投資
Quant Q&A

The document asks how to construct an efficient frontier by optimizing portfolio weights at specified volatility levels, rather than relying on random sampling. It describes maximizing expected portfolio return subject to a volatility ceiling and nonnegative…

股票投資組合建構統計
Quant Q&A

The document describes implied volatility as a way to represent option prices on a more interpretable and comparable scale. A pricing model maps a market option price to the volatility input that would reproduce that price, allowing traders to discuss an…

選擇權波動率衍生品定價
Quant Q&A

The document explains why equal percentage losses and gains do not cancel when returns compound. After a loss, the same percentage gain applies to a smaller capital base, so the account remains below its starting value. It gives a formula for the number of…

統計風險管理部位規模
Quant Q&A

The document asks how to interpret the Spearman correlation used in the Fundamental Review of the Trading Book to compare hypothetical P&L (HPL) with risk-theoretical P&L (RTPL). The stated procedure ranks each series in ascending order, then applies the…

統計風險管理
Quant Q&A

The problem describes a seller who observes a sequence of prices for different future delivery days and must choose when to commit to selling. Prices for each fixed delivery date are assumed to follow a martingale. The proposed approach begins with a Bellman…

期貨統計交易執行
Quant Q&A

The document asks whether trading strategies can remove volatility clustering—the persistence of large or small absolute returns—and what that would imply for diversification and alpha. It contrasts the CAPM view of market exposure with anecdotal claims that…

波動率統計風險管理多資產
Quant Q&A

The discussion explains why currency spreads can widen sharply around 22:00 GMT, corresponding to 17:00 in New York. Forex trading is decentralized, and liquidity can fall when major financial centers hand activity over or close for the day. Contributors…

外匯市場微結構交易執行
Quant Q&A

The discussion considers a daily strategy that holds positions for one day while using an indicator built from a five-year price history. Because adjacent indicator readings share much of the same input data, they are strongly serially dependent. The…

回測技術指標統計
Quant Q&A

The note asks whether traditional factor models become less adequate as markets grow more complex and new return patterns emerge. It cites the Fama-French three-factor model, which captures broad cross-sectional return patterns in the mid-1990s but does not…

因子投資股票動能統計
Quant Q&A

The document asks how to estimate the variance of monthly returns when a return series includes both monthly observations and one quarterly aggregate. The proposed response describes a moment-based approach under temporal independence: infer the quarterly…

統計波動率風險管理
Quant Q&A

The document asks why credit rating grades can span different widths of probability of default (PD). Its example mapping assigns relatively narrow PD intervals to stronger grades and wider intervals to weaker grades, and raises the possibility that a PD…

固定收益統計風險管理
Quant Q&A

The document poses a fixed-income modeling question: whether a bond spread curve can be converted into a credit curve by applying the same bootstrapping function used for a CDS par-spread curve. The setup assumes a standard CDS framework with piecewise…

固定收益統計
Quant Q&A

The document considers how to estimate a portfolio variance-covariance matrix when assets began trading at different times. One direct method is to use only the period in which every asset has data, which avoids mismatched histories but discards older…

統計投資組合建構風險管理
Quant Q&A

The document explains the distinction between an option’s notional exposure and the price paid for the contract. Using the SPX example, the response applies a contract multiplier of 100 to the index level to calculate notional value, and applies the same…

選擇權衍生品定價美國市場
Quant Q&A

The document asks how to infer a stock’s beta from return expectations and how to attribute its variance to market risk. One response writes returns as a market-linked component plus an idiosyncratic residual. Under the single-index assumptions that the…

股票統計因子投資