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 weekly report reviews a sharp crypto selloff alongside higher US yields, China-related risk concerns, and the upcoming Federal Reserve outlook at Jackson Hole. It describes heavy BTC futures and perpetual liquidations, falling open interest, a temporary…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This weekly market note connects US inflation releases and speculation about Federal Reserve leadership to moves in gold, bonds, and crypto. It interprets mixed producer and consumer inflation readings, resilient employment, and possible political pressure…

加密貨幣選擇權波動率股票
Amberdata research

This indicator description presents a version of the Parabolic SAR that can calculate its display using a timeframe selected in the input settings. The example input defaults to a four-hour period, allowing a trader to view higher-timeframe SAR information…

技術指標趨勢追蹤
Amberdata research

This quarterly recap surveys digital-asset market developments in Q2 2024, including softer token prices and trading activity, regulatory progress, Bitcoin exchange-traded fund flows, memecoin trading, and launches of new layer-two and layer-three networks.…

加密貨幣波動率鏈上資料
Amberdata research

This podcast overview traces Premia’s development from an early peer-to-peer options concept to a decentralized platform supporting order books, RFQ, pools, and vaults. The team’s traditional finance experience shaped its response to crypto-specific…

加密貨幣選擇權衍生品定價去中心化金融
Amberdata research

This market report reviews crypto price action and options positioning during a sharp late June 2023 rally. It links the move to news about spot ETF filings and a new exchange, then describes rising Bitcoin volatility, a higher options term structure, and a…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This article explains how liquidators can profit by repaying part of an undercollateralized Aave borrower’s debt and receiving collateral with a liquidation bonus. It introduces the health factor as the protocol’s solvency measure, describes how falling…

加密貨幣去中心化金融交易執行風險管理
Amberdata research

This feature note describes a chart comparing an asset’s at-the-money implied volatility (ATM-IV) with its realized close-to-close log return. It uses the implied volatility observed at the start of the interval as an estimate of the expected daily move,…

選擇權波動率衍生品定價
Amberdata research

This market snapshot reviews regulatory developments in the United States and United Kingdom alongside trading activity across centralized exchanges, decentralized exchanges, lending protocols, and major networks. It argues that the approved FTX asset sales…

加密貨幣現貨市場去中心化金融市場微結構
Amberdata research

The article explains how Bitcoin ETF inflows and outflows may relate to market liquidity, price pressure, and investor sentiment. Inflows can add buying demand and are often read as bullish, while outflows can reduce liquidity and accompany profit-taking or…

加密貨幣市場情緒鏈上資料風險管理
Amberdata research

The article presents a framework for managing crypto portfolio risk through sector diversification, active hedging, quantitative monitoring, and rebalancing. It suggests diversifying across asset categories such as Layer 1 tokens, DeFi governance tokens, and…

加密貨幣風險管理投資組合建構衍生品定價
Amberdata research

This press release summarizes a survey of asset managers and hedge funds in the United States and Europe about digital-asset activity and infrastructure needs. It reports that 48% of respondents had digital assets under management, while 25% had a dedicated…

加密貨幣鏈上資料風險管理投資組合建構
Amberdata research

This article presents Almanax’s approach to preventing blockchain exploits through AI-assisted code review and continuous security monitoring. The described system uses language models to examine code logic and potential attack surfaces, and is intended to…

加密貨幣機器學習風險管理去中心化金融
Amberdata research

This interview discusses how traders can identify persistent sources of edge, implement them, and manage the risks and emotions that accompany them. Euan Sinclair describes edge as a market phenomenon that mathematics can measure, citing trends, mean…

風險管理波動率趨勢追蹤均值回歸
Amberdata research

This brief market recap highlights four observations about Bitcoin and Ether derivatives as of November 22, 2022: realized and implied volatility had fallen, the six-month historical volatility spread between ETH and BTC was described as supported, option…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This article explains how current and historical crypto market data can support risk decisions. It describes volatility measures such as standard deviation and beta, and liquidity indicators including trading volume, order books, market depth, bid-ask…

加密貨幣波動率風險管理投資組合建構
Amberdata research

The document explains six Bitcoin indicators used to interpret investor sentiment and supply behavior: realized price, net unrealized profit/loss (NUPL), coins held or presumed lost, monthly long-term-holder position change, liquid versus illiquid supply,…

加密貨幣鏈上資料市場情緒風險管理
Amberdata research

This weekly market note examines how the XRP ruling and other headlines affected crypto prices, implied volatility, and options positioning. It contrasts a quiet macro calendar and subdued longer-term realized volatility with event-driven moves in the front…

加密貨幣選擇權波動率事件驅動
Amberdata research

This market commentary reviews Bitcoin and Ethereum options positioning alongside activity in oSQTH for the week covered. It describes several reported structures: a put spread financed with calls, a put risk reversal, a short-dated straddle sale, call…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This newsletter connects a softer US inflation and labor market outlook with expectations for Federal Reserve rate cuts and possible support for crypto prices. It then frames Bitcoin’s decline in the context of German government sales and anticipated Mt. Gox…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This podcast recap discusses Bitcoin options-market conditions around the ETF narrative, including term structure, skew, and changes in inter-dealer flows. It also describes exchange structured products: Double-Win, a range-based payoff compared to a…

加密貨幣選擇權波動率衍生品定價
Amberdata research

The article describes adjusting hedge ratios as crypto prices, implied volatility, and liquidity conditions change. For derivatives portfolios, it suggests rebalancing futures and options exposures, including strikes and expirations, to manage directional…

加密貨幣衍生品定價波動率風險管理
Amberdata research

This market commentary links a risk-off episode to declines in stocks and crypto, stronger gold, increased volatility, and heavy leveraged liquidations. It compares perpetual futures with spot markets, arguing that forced selling and uneven order-book depth…

加密貨幣選擇權永續期貨波動率
Amberdata research

The article explains how blockchain data fragmentation can complicate work for financial institutions. APIs tailored to individual networks often use different methods and data formats, requiring separate integrations, repeated requests, and ongoing…

加密貨幣鏈上資料市場微結構