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

20,364 份文件

Quant Q&A

The document examines Malliavin integration by parts for estimating option sensitivities in a diffusion model. It asks whether a Delta weight concentrated up to the first payoff observation loses relevant Brownian information, and how to extend the method to…

選擇權衍生品定價波動率統計
Quant Q&A

The document describes the Heston and Rouwenhorst approach to decomposing stock returns into a world component, country effects, and industry effects. It uses monthly cross-sectional weighted least squares on individual stocks, with market capitalization as…

股票因子投資統計
Quant Q&A

The document asks how to find the best-performing stocks on an exchange, such as NYSE-listed stocks, over either a calendar year or user-selected dates. The suggested approach is to start from a Bloomberg function that ranks performers for a major index over…

股票美國市場
Quant Q&A

The document asks whether a security with positive variance can rationally offer a return below the risk-free rate. The main response says it can be attractive as part of a portfolio if its returns are negatively correlated with other assets that have…

投資組合建構風險管理統計
Quant Q&A

The document explains why the Hull–White short-rate model’s zero-coupon bond price at the initial time is independent of volatility and mean reversion. The model is calibrated to the observed market zero curve, so its initial bond prices reproduce that curve…

固定收益波動率統計
Quant Q&A

The document discusses why derivatives are often valued under a risk-neutral measure and how this connects to no-arbitrage pricing and hedging. One response frames risk-neutral valuation as an abstract link between a replicable payoff and the cost of the…

選擇權衍生品定價套利風險管理
Quant Q&A

The document clarifies the valuation signs behind an asset swap spread. In the described arrangement, the investor pays the price of a risky fixed-rate bond and receives its fixed cash flows, while entering a swap that converts those payments into…

固定收益衍生品定價
Quant Q&A

The document presents an approximation for pricing a geometric Asian call under Heston stochastic volatility. It replaces the random variance path with its deterministic expected variance, then integrates that expected variance over the option horizon to…

選擇權衍生品定價波動率統計
Quant Q&A

The document explains why an American call on a non-dividend-paying stock has the same value as its European counterpart, even though a binomial pricing algorithm may compare early exercise value with continuation value at each node. The key distinction is…

選擇權衍生品定價
Quant Q&A

The document addresses why a basic GARCH model may be outperformed by realized GARCH or other realized-volatility models, especially when modeling intraday volatility. Its explanation focuses on information inputs rather than a strict difference between…

波動率統計機器學習
Quant Q&A

The document explains the coupon effect: fairly priced bonds with the same maturity but different coupons can have different yields to maturity when the spot-rate curve is not flat. Yield to maturity compresses a bond’s cash flows into a single rate and…

固定收益風險管理衍生品定價
Quant Q&A

The document distinguishes two stochastic-process assumptions often applied to stock prices. A martingale constrains the conditional expected future value to equal the present value, while a Markov process says the current state contains the information…

股票統計動能
Quant Q&A

The document raises a result from expected-utility theory: if an agent ranks contingent claims only by their mean and variance, then utility must be quadratic, and asks for a mathematical explanation. It does not provide a derivation, proof, or examples; it…

統計
Quant Q&A

The document explains how to obtain Black–Scholes implied volatility for a European option when the underlying follows a stochastic volatility jump model. Since the model lacks a closed-form log-return density and a direct analytical option price, the answer…

選擇權波動率衍生品定價統計
Quant Q&A

The note offers a possible historical explanation for a fixed fallback volatility used in a bond option-adjusted spread model. It says term-structure models from that period often relied on constant volatility assumptions, commonly calibrated to realized…

固定收益波動率統計
Quant Q&A

The answer frames a forecast of a later stock price as a conditional expectation based on the latest observed price and an assumed price model. It uses geometric Brownian motion to illustrate the approach: under that model, the expected future price is the…

股票統計
Quant Q&A

The explanation derives the differential of a function evaluated along a diffusion when its time argument runs backward, as in F(T−t, X_t). It first renames the expression as a function of the running time and state, then applies Itô’s formula using the…

統計
Quant Q&A

The document describes a forecasting setup for daily commodity prices using an LSTM network and predictor variables drawn from current and lagged observations. The author asks whether forecast accuracy can determine if the model is suitable for managing…

大宗商品機器學習風險管理期貨
Quant Q&A

The document outlines post-crisis swap valuation using overnight indexed swap rates for discounting, followed by adjustments for counterparty credit, funding, and other costs. It contrasts this approach with older conventions that used government yields or…

固定收益衍生品定價風險管理
Quant Q&A

The document addresses why substantial end-of-day share sales by market makers may occur without an obvious price decline. Its explanation is that market makers do not all start with the same inventory: those holding long positions may want to sell, while…

股票市場微結構交易執行
Quant Q&A

The discussion separates two ideas that are often conflated: a normal distribution need not have a zero mean, and observed equity returns need not follow a normal distribution. A normal distribution is described by its mean and standard deviation; the…

股票統計衍生品定價
Quant Q&A

The document clarifies how to compute a simple period return from consecutive values of a total return index. Divide the change in the index by its previous value: this expresses the increase or decrease relative to the starting level. The reply…

股票統計
Quant Q&A

The document asks how node values for an American option on a small stock-price tree translate into a hedge. The accepted reply identifies the commenter’s suggested stock position as delta hedging: adjusting exposure to the underlying so that small price…

選擇權衍生品定價波動率風險管理