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

766 份文件

Amberdata research

This product update describes two types of on-chain data for analyzing decentralized finance activity. Lending and borrowing summaries aggregate deposits, borrows, protocol revenue, liquidations, and withdrawals across protocols, assets, and chains, with…

去中心化金融鏈上資料市場微結構
Amberdata research

This podcast recap follows quant Artur Sepp’s move from traditional finance into crypto derivatives. It describes his work on delta-neutral options strategies, volatility modeling, and market making in illiquid options, where one-sided order flow and…

加密貨幣選擇權波動率做市
Amberdata research

The document describes two risks institutions may encounter in decentralized finance: scam tokens, especially liquidity-draining rug pulls, and crypto assets connected to illicit activity. It argues that blockchain data can support token due diligence by…

加密貨幣去中心化金融鏈上資料風險管理
Amberdata research

This report section reviews DeFi activity and security incidents in 2025. It frames the year through several measures: total value locked (TVL), lending utilization, liquidations, decentralized exchange volume, and major protocol exploits. It argues that…

加密貨幣去中心化金融鏈上資料風險管理
Amberdata research

This report reviews 2024 activity in centralized crypto spot and derivatives markets. It describes how exchange and asset trading volumes changed through the year, noting periods of high activity across major venues and tokens. It suggests using volume…

加密貨幣期貨永續期貨套利
Amberdata research

This weekly market note reviews Bitcoin and Ether options conditions in early December 2022 alongside macroeconomic context. It describes falling realized volatility and implied volatility, a soft volatility backdrop, changing risk reversals, and steep Ether…

加密貨幣選擇權波動率衍生品定價
Amberdata research

An interview with an experienced derivatives trader traces his move from equity derivatives into crypto and explains how exotic option books can behave under stress. Autocallables combine contingent coupons with short exotic downside exposure, while their…

加密貨幣選擇權波動率風險管理
Amberdata research

The article explains how crypto market makers support trading by placing bids and asks around prevailing prices, seeking to earn the spread while keeping order books populated. It links two-sided quoting with faster execution, narrower spreads, reduced price…

加密貨幣做市市場微結構交易執行
Amberdata research

This market commentary examines crypto options and spot-market conditions during the November 2022 FTX collapse. It argues that contagion concerns, thin liquidity, and possible abrupt news-driven moves made short-volatility positions especially exposed, even…

加密貨幣選擇權波動率市場微結構
Amberdata research

This market commentary links changing US inflation, employment, and rate expectations to crypto risk sentiment, then reviews Bitcoin and Ethereum options positioning ahead of an FOMC decision. It describes bullish Bitcoin flows, including call buying and put…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This weekly crypto market note reviews Bitcoin’s rally, liquidation-driven price swings, upcoming US macro events, and the implications for options volatility. It connects a sharp move through prior price levels with short liquidations, a subsequent rapid…

加密貨幣選擇權波動率風險管理
Amberdata research

The article explains how data supports several spot Bitcoin ETF functions: calculating net asset value (NAV) and intraday indicative value, checking reserves, and helping authorized participants trade around price deviations. Because Bitcoin trades…

加密貨幣現貨市場鏈上資料套利
Amberdata research

This market commentary links Federal Reserve uncertainty and tariff-related inflation concerns with higher volatility in traditional markets, then considers possible spillovers to Bitcoin. It cites a rise in the VIX after Powell’s remarks, strength and…

加密貨幣選擇權波動率美國市場
Amberdata research

This market recap reviews Bitcoin and Ethereum options after approval of an Ethereum exchange-traded fund. It discusses realized and implied volatility, term structure, relative volatility, and option skew. The account says implied volatility fell as event…

加密貨幣選擇權波動率衍生品定價
Amberdata research

The article explains why implied volatility is an option price input solved from a pricing model, rather than a direct forecast of future realized volatility. It recommends assessing current IV against its own history and reading it alongside the shape of…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This weekly market note connects Federal Reserve expectations and US economic releases with crypto and equity volatility. It argues that rates and inflation data could influence risk assets, then compares Bitcoin and gold implied volatility as a way to frame…

加密貨幣選擇權波動率衍生品定價
Amberdata research

The guide explains how impermanent loss arises when the relative prices of two tokens change while they are held in an automated market maker (AMM) liquidity pool. It contrasts a liquidity position with simply holding the deposited assets, describes how…

加密貨幣去中心化金融風險管理回測
Amberdata research

This research roundup describes several quantitative finance studies. One classifies equity trades by their short-term co-occurrence with other trades and standardizes associated order imbalances into conditional order imbalance measures. These measures…

股票加密貨幣動能機器學習
Amberdata research

The document introduces blockchain oracles as software that retrieves off-chain information and makes it available to smart contracts. Because a blockchain cannot directly query external APIs or data feeds, an oracle provides a link between on-chain…

加密貨幣去中心化金融衍生品定價
Amberdata research

This weekly crypto options analysis links macroeconomic events, including US debt ceiling negotiations, inflation data, Fed minutes, and upcoming employment figures, to Bitcoin and Ethereum volatility. It argues that the market may remain in a wait-and-see…

加密貨幣選擇權波動率Carry(套息)
Amberdata research

This market snapshot examines the February 2024 crypto rally through spot-market activity, ETF flows, decentralized exchange volumes, lending deposits, miner supply behavior, and Bitcoin net unrealized profit and loss (NUPL). It presents the view that ETF…

加密貨幣鏈上資料市場情緒市場微結構
Amberdata research

This overview explains a set of Ethereum indicators grouped around market tops and bottoms, sentiment, and user activity. Price measures include the 50-day and 200-day moving averages, a 200-week average, and the Pi Cycle comparison between the 111-day…

加密貨幣鏈上資料技術指標市場情緒
Amberdata research

This report examines BTC options and futures behavior in Q1 2023, then introduces Lyra as an automated market maker for on-chain options. It contrasts AMM and order-book models and frames DeFi options as an evolving market without an established analytical…

加密貨幣選擇權波動率衍生品定價