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 article summarizes a 2025 industry report that describes tokenization moving into institutional production. Examples cited include tokenized U.S. Treasuries and money-market funds, as well as bank workflows for settlement and repo. The article frames…

固定收益加密貨幣鏈上資料市場微結構
Amberdata research

This market snapshot reviews digital asset conditions across spot and derivatives markets, exchange-traded fund flows, stablecoins, and DeFi lending. It reports a shift in Bitcoin perpetual funding from negative to positive, tighter BTC and ETH spreads,…

加密貨幣永續期貨市場微結構波動率
Amberdata research

This October 2023 snapshot reviews crypto market structure and activity alongside industry news. It reports shifts in centralized exchange volume share, including gains for Bybit and changes in Binance and OKX shares, while noting that aggregate exchange…

加密貨幣現貨市場去中心化金融鏈上資料
Amberdata research

The document describes the growing role of cryptocurrency derivatives and the need to combine data from fragmented trading venues. It identifies trades, price aggregates, deep order books, open interest, funding rates, liquidations, and long/short ratios as…

加密貨幣衍生品定價市場微結構風險管理
Amberdata research

This company profile describes Amberdata’s effort to provide financial institutions with a shared data source for digital asset markets. It groups the information into cryptocurrency market data, blockchain records such as contracts and events, and…

加密貨幣去中心化金融鏈上資料
Amberdata research

This product update describes an institutional dashboard for monitoring tokenized, treasury-backed assets on Ethereum. It focuses on aggregate market capitalization, protocol-level activity, and unique wallet holders, with individual views of issuers and the…

加密貨幣固定收益鏈上資料去中心化金融
Amberdata research

This derivatives newsletter reviews a strong weekly rise in Bitcoin and other risk assets amid a US government shutdown and missing official employment data. It compares private employment estimates with market expectations, notes gains in gold, equities,…

加密貨幣選擇權波動率衍生品定價
Amberdata research

The report argues that a sharp Bitcoin price decline and ETF redemptions reflected a concentrated unwind of cash and carry positions rather than broad institutional capitulation. It explains the trade: hold spot Bitcoin or ETF shares while shorting futures…

加密貨幣套利Carry(套息)永續期貨
Amberdata research

The article explains a framework for examining digital assets by combining exchange data, such as trades, with blockchain information about transaction proofs, protocols, and asset supply. It argues that market data alone can miss changes defined by an…

加密貨幣市場微結構鏈上資料
Amberdata research

This overview explains how Delta, Gamma, Theta, and Vega describe different sensitivities in crypto options, with a brief discussion of Rho. Delta measures exposure to the underlying asset’s price; Gamma tracks changes in Delta; Theta describes time decay;…

選擇權加密貨幣衍生品定價風險管理
Amberdata research

The document introduces Rho Protocol as an on-chain venue for trading crypto-native interest rates, especially perpetual funding rates and staking rates. It describes fixed-for-floating contracts as a way to hedge exposure to changing rates, similar to…

加密貨幣期貨套利Carry(套息)
Amberdata research

This weekly review interprets Bitcoin and Ethereum options conditions amid subdued spot markets and lower volatility. It discusses falling short-dated implied volatility, a steeper contango term structure, and the view that long-dated Ethereum volatility…

加密貨幣選擇權波動率衍生品定價
Amberdata research

The document describes a Chinese equities screening idea focused on stocks in the metaverse industry. It combines a price trend condition, expressed through a five-day moving average, with a condition that today’s increase in volume relative to share capital…

股票中國市場技術指標動能
Amberdata research

This weekly digital-asset snapshot examines a market in which Bitcoin and Ether were weak or nearly flat while selected altcoins, especially DeFi-related tokens, rose sharply. It combines price and volatility measures with trading volume, open interest,…

加密貨幣波動率永續期貨市場微結構
Amberdata research

This brief market recap describes conditions in Bitcoin and Ether derivatives for the week of March 7, 2023. It reports that Bitcoin realized volatility declined, while the term structures for both assets changed little. Options skew continued to favor puts,…

加密貨幣選擇權波動率
Amberdata research

This market commentary connects inflation and energy developments with expectations for Federal Reserve policy, then considers how upcoming macro events might affect crypto volatility. It reports mixed inflation readings, a slight reduction in expected rate…

加密貨幣選擇權波動率突破
Amberdata research

The report compares on-chain behavior around Bitcoin volatility shocks in bull and bear periods. It defines a shock as a day when absolute daily return exceeds two standard deviations above its historical average, then studies 21 shock days in each market…

加密貨幣鏈上資料波動率統計
Amberdata research

This weekly market note reviews macroeconomic events and crypto options conditions in the week of September 24, 2023. It links the Federal Reserve’s hawkish messaging and upcoming economic releases with weakness in technology shares, bonds, and Ether. The…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This weekly crypto snapshot links institutional news and regulatory developments with activity across centralized exchanges, decentralized exchanges, lending protocols, and blockchain networks. It describes spot Bitcoin ETF filings and a planned traditional…

加密貨幣現貨市場去中心化金融鏈上資料
Amberdata research

This conference recap highlights themes discussed at Consensus 2024, including institutional participation in digital assets, interest in blockchain applications such as tokenization of real-world assets, and the prospect of consolidated crypto trading. It…

加密貨幣市場情緒市場微結構
Amberdata research

The report describes tests of 14 Ethereum trading strategies using stablecoin issuance and Uniswap V2 USDC/ETH pool activity. It outlines signals based on rolling issuance sums, moving averages, standard-deviation thresholds, Pearson correlation, and pool…

加密貨幣鏈上資料回測部位規模
Amberdata research

The document explains how comparing implied volatility (IV) surfaces across dates can reveal patterns that a single snapshot misses. It describes tracking Mark IV and Forward IV across maturities with term-structure time-lapse views, and comparing…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This case study describes a hedge fund seeking to add digital asset strategies and the data infrastructure needed to research and trade them. Its requirements included real-time and historical market data, high-volume feeds for algorithm development and…

加密貨幣鏈上資料高頻交易回測