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
Quantopian 講座
45 份文件
Binance API docs
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 document asks how to estimate annualized historical volatility when price observations arrive at unequal time intervals. Its baseline method for evenly spaced data calculates returns over a fixed window, takes their sample standard deviation, and scales…

波動率統計股票
Quant Q&A

The discussion examines how to estimate a cryptocurrency yield curve when perpetual futures are the only obvious derivatives market. One answer emphasizes that a curve describes rates across maturities at a point in time; forecasting future funding rates is…

加密貨幣永續期貨衍生品定價去中心化金融
Quant Q&A

The discussion weighs whether one person can learn quantitative finance and build predictive trading models, especially with machine learning. It distinguishes learning the subject from earning a living through algorithmic trading: study partners can help…

機器學習回測風險管理市場微結構
Quant Q&A

The discussion considers two vanilla calls written on different, correlated assets under a Black–Scholes framework. For claims driven by correlated geometric Brownian motions, the instantaneous option returns inherit the underlying Brownian correlation,…

選擇權衍生品定價統計風險管理
Quant Q&A

The discussion examines how market-data latency affects order decisions and claims about market efficiency. When order book updates arrive faster than a non-colocated trader can receive information and send an order, the displayed book may no longer reflect…

市場微結構高頻交易交易執行回測
Quant Q&A

The answer explains why two Bloomberg tickers for the US five-year-forward, five-year inflation expectation can differ. One is derived from zero-coupon inflation swap quotes: it approximates the forward rate by doubling the ten-year swap quote and…

固定收益美國市場統計
Quant Q&A

The answer challenges the idea that implied volatility (IV) is simply an unbiased forecast of future realized volatility. An option’s IV varies by strike and maturity, forming a smile or skew, while realized volatility is a single measure for a period. IV…

選擇權波動率衍生品定價統計
Quant Q&A

The document considers whether a portfolio should rebalance less often when its return forecasts cover a longer horizon. It explains that more frequent rebalancing can incorporate updated views and potentially improve alignment with target exposures, while…

投資組合建構回測交易執行風險管理
Quant Q&A

The document distinguishes SWIFT and FIX by their structure and common roles. SWIFT is described as an organization operating a network that uses ISO messaging standards, while FIX is a non-proprietary set of messaging standards that does not prescribe its…

交易執行市場微結構
Quant Q&A

The document offers a basic principle for market makers managing quotes across multiple securities: adjust prices in response to inventory in the quoted asset, and also account for inventory in assets considered similar. This extends single-instrument…

做市投資組合建構交易執行市場微結構
Quant Q&A

The document explains how to interpret the Treynor ratio, which measures a portfolio’s excess return per unit of beta, alongside the CAPM market risk premium. Under CAPM with zero alpha, a portfolio’s expected Treynor ratio equals the market risk premium.…

統計投資組合建構風險管理
Quant Q&A

The document compares two yield curve construction approaches: interpolating quoted spot rates and deriving discount factors, or interpolating discount factors directly. It asks why the latter may produce a smoother implied forward curve when using linear…

固定收益統計
Quant Q&A

The document discusses how to update a one-step-ahead ARIMA forecast after a new observation arrives. It outlines several choices: refit the model parameters while keeping the selected orders fixed, repeat model selection as well as estimation, keep…

統計回測
Quant Q&A

The document lists potential sources for historical foreign exchange tick data, including TrueFX, Dukascopy, TickStory Lite, and HistData.com. It presents Dukascopy as an option for downloading hourly data files, either through a website or direct scripted…

外匯高頻交易市場微結構交易執行
Quant Q&A

The document clarifies the relationship between a bond position, duration, and convexity. It distinguishes a long position in a conventional coupon bond, which has positive duration and convexity, from a short position, which has negative convexity exposure.…

固定收益衍生品定價風險管理
Quant Q&A

The document describes a problem in out-of-sample modeling of GARCH-filtered residuals using a semiparametric distribution with a generalized Pareto tail. When the GPD shape parameter is negative, the tail has a finite endpoint. The inverse CDF can therefore…

統計波動率風險管理
Quant Q&A

The document raises a practical question about calculating potential future exposure (PFE) in an XVA pricing engine. It distinguishes the valuation of a derivative at a future horizon from the market inputs used to obtain that valuation. Curves and implied…

衍生品定價風險管理統計
Quant Q&A

The document explains how to value a fund arrangement in which party B receives scheduled proportional payments, party A covers a shortfall at maturity, and party C receives any surplus. Under risk-neutral valuation, the terminal claims of A and C are priced…

衍生品定價選擇權風險管理
Quant Q&A

The document derives the cash account needed to keep a portfolio self-financing when its stock holding changes over time. Portfolio value is written as the shares held times the stock price plus the balance in an interest-bearing account. Applying the…

投資組合建構衍生品定價風險管理統計
Quant Q&A

The document surveys practical ways pension plans can set investment risk appetite within an asset-liability management framework. It presents examples from public pension investors: risk limits can include relative performance measures against a reference…

風險管理投資組合建構固定收益股票
Quant Q&A

The document explains how principal component analysis (PCA) is used to summarize yield curve movements. In the example, the first three components account for 58%, 85%, and 93% of cumulative variance, and their coefficient patterns are commonly interpreted…

固定收益統計投資組合建構
Quant Q&A

The document asks how to assess three portfolios against the Capital Market Line (CML) and how to allocate capital to achieve a target return. With a 2% risk-free rate and a market portfolio expected to return 10% with 20% standard deviation, the CML slope…

投資組合建構風險管理部位規模統計
Quant Q&A

The document explains a QuantLib credit default swap calibration failure that occurs with a higher assumed recovery rate for the supplied market spreads. The calibration seeks risk neutral survival probabilities by solving for curve parameters. If the inputs…

固定收益衍生品定價風險管理
Quant Q&A

This exchange clarifies how QuantLib curve constructors interpret rate inputs in a Hull–White short rate simulation setup. A FlatForward curve is built from a single forward rate quote, so passing an array of rates to its scalar quote object causes a type…

固定收益衍生品定價