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
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 document describes a question about calibrating a local volatility surface through an inverse problem. It outlines a representation that uses B-splines across one dimension and linear interpolation across time, then penalizes variation in time and…

波動率衍生品定價統計
Quant Q&A

The procedure estimates an at-the-money implied volatility for a target maturity by using two listed option expirations that bracket it. It first selects nearby call and put strikes, estimates a forward price for each expiration from put–call parity, and…

選擇權波動率衍生品定價
Quant Q&A

The discussion addresses why combining a commodity channel index, momentum, and price distance from a moving average with a row-wise standardization formula does not yield values confined to minus one and one. It explains that standardization centers…

技術指標統計
Quant Q&A

The explanation clarifies that the Black–Scholes stock process is written for the ordinary price level, with drift and volatility proportional to the current price. The logarithm enters when Itô’s lemma is applied to that process: the log price then has a…

選擇權衍生品定價統計
Quant Q&A

This discussion compares Bloomberg’s FWCM and FWCV functions for projecting US Treasury forward rates. Both use the same underlying calculation formula, but can show different values because of curve settings, interpolation, conventions, and update timing.…

固定收益美國市場統計
Quant Q&A

The document asks whether quants build one prediction model per stock or train a model that can generalize across many securities. It highlights two concerns with training on a single stock and applying that model elsewhere: survivorship bias and the narrow…

機器學習股票統計
Quant Q&A

The document compares two ways to estimate a factor risk premium in a linear asset pricing model. The time-series method estimates asset exposures from returns over time and treats the factor’s sample mean as its premium; the factor is priced exactly in that…

統計因子投資
Quant Q&A

The document distinguishes two choices in mean-variance portfolio theory. The tangency point between the capital allocation line (CAL) and the efficient frontier identifies the optimal portfolio of risky assets, given the model’s assumptions. It is the…

投資組合建構風險管理
Quant Q&A

The document questions whether historical means and covariance matrices are useful for portfolio allocation when an asset’s risk can change after new information. It frames the issue using a multivariate Gaussian model, where allocations are chosen to shape…

統計風險管理投資組合建構
Quant Q&A

The document describes a random matrix theory approach to separating noise from structure in a correlation or covariance matrix. It explains that the matrix is decomposed into eigenvectors and eigenvalues, noisy eigenvalues are adjusted, and the matrix is…

統計投資組合建構風險管理
Quant Q&A

The document explains the different roles of loan loss provisions and capital adequacy rules. Provisions recognize expected or likely losses on a bank’s existing loans, with changes flowing through earnings and equity. Capital adequacy requirements instead…

固定收益風險管理
Quant Q&A

The document asks how to infer an incremental discount rate for a company with no observable traded debt when market yield or credit spread data for its sector stop at stronger credit ratings. Its example is a company rated CCC when available sector data…

固定收益統計風險管理
Quant Q&A

The document raises a pricing question about a down-and-out call when the underlying follows a jump process, with the Kou double-exponential and normal inverse Gaussian models suggested to represent asymmetric jumps. It considers raw Monte Carlo simulation…

選擇權衍生品定價統計波動率
Quant Q&A

The document poses a question about constructing a risk-neutral density from out-of-the-money options. Since the density is related to the second derivative of option price with respect to strike, it asks whether convexity of option prices is needed to…

選擇權波動率衍生品定價統計
Quant Q&A

The document explains how to request historical data outside regular trading hours through Interactive Brokers’ API using the R IBrokers package. The key setting is the historical-data request’s regular-hours flag: disabling it allows the request to include…

期貨股票交易執行美國市場
Quant Q&A

The document explains why an FX option’s delta convention must match the convention used to build a volatility smile or surface. It lists spot and forward delta, each with premium-adjusted and unadjusted forms, and notes that converting between conventions…

外匯選擇權波動率衍生品定價
Quant Q&A

The document asks how to assess the income taxes a company actually pays using its annual financial disclosures. It focuses on two reported figures: cash paid for income taxes after refunds and the income tax provision. Using a large technology company as an…

股票
Quant Q&A

The document compares risk parity with smart beta and shows why their relationship depends partly on how each term is defined. Risk parity is described as a portfolio construction and risk management approach that seeks diversification across risk…

投資組合建構風險管理因子投資
Quant Q&A

The document collects practical ways for a small trading operation to reduce exposure of proprietary data, code, indicators, and strategy parameters when hiring a quant. Suggested controls include limiting access to only the resources needed, separating…

風險管理回測股票
Quant Q&A

The document explains that CUSIPs are assigned identifiers for specific securities and are generally immutable once assigned, rather than values that simply change in place. It describes the identifier as having a base associated with the issuer and a tail…

股票固定收益統計
Quant Q&A

The document discusses how to identify US stocks and ETFs that may be delisted soon after an announcement, rather than waiting for the effective date. Its suggested starting point is SEC EDGAR: search relevant filing types, including merger proxy filings,…

股票事件驅動美國市場
Quant Q&A

The note addresses whether Black–Scholes prices a call and a put equally when their strikes are equally far from the current underlying price in opposite directions. It distinguishes terminal payoffs from option values before expiry. At expiry, if the…

選擇權衍生品定價波動率
Quant Q&A

The note explains why callable bonds should not automatically be analyzed as if they run to maturity. When an issuer is likely to call, calculating spread and interest-rate risk to maturity can give misleading results. A common practical approach is to find…

固定收益選擇權風險管理