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 market commentary reviews Bitcoin and Ether options through realized and implied volatility, expiry term structures, call skew, and relative value. It reports Bitcoin realized volatility in the mid-30s and Ether near 50 after spot weakness, while…

選擇權加密貨幣波動率衍生品定價
Amberdata research

This market snapshot discusses the October 2023 Bitcoin rally alongside regulatory headlines, exchange activity, DeFi markets, lending, and network metrics. It cautions that reports of a spot ETF listing or approval rumors did not establish that an ETF had…

加密貨幣現貨市場去中心化金融鏈上資料
Amberdata research

The article explains open interest as the number of derivatives contracts that remain open and presents it as a measure of participation in crypto futures markets. It recommends reading changes in OI alongside price: rising OI with rising prices may support…

加密貨幣期貨市場微結構市場情緒
Amberdata research

This article explains why total value locked can give a misleading impression of a decentralized finance protocol’s health. TVL rises or falls with the market prices of deposited assets, so a decline may reflect falling token prices rather than users…

去中心化金融加密貨幣鏈上資料市場微結構
Amberdata research

The document explains how implied volatility (IV) surfaces organized by option moneyness can help identify relative pricing anomalies. A floating surface compares options at their actual listed expirations, while a constant surface interpolates or…

選擇權波動率衍生品定價加密貨幣
Amberdata research

This article applies the stock-to-flow ratio to Bitcoin as a scarcity-based valuation approach. It defines stock as the existing supply and flow as new annual issuance, then estimates Bitcoin’s annual production from the change in supply over a year. Using…

加密貨幣統計回測
Amberdata research

This weekly market review surveys Bitcoin and Ether options through realized and implied volatility, term structure, skew, relative value, option flows, and dealer gamma positioning. It describes falling front-end implied volatility, a pronounced shift…

加密貨幣選擇權波動率衍生品定價
Amberdata research

The document explains volatility cones as percentile benchmarks of historical realized volatility across several lookback periods. Traders compare current realized volatility with levels such as the lower quartile, median, and upper quartile to judge whether…

加密貨幣選擇權波動率風險管理
Amberdata research

This mid-week recap summarizes conditions in Bitcoin and Ether derivatives as of January 18, 2023. It highlights realized volatility returning above 20%, a shift to inverted term structures, and a complete reversal in skew. These measures describe different…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This market recap interprets Bitcoin and Ether options volatility, term structure, skew, trading flows, and dealer gamma around anticipated spot ETF decisions. It reports rising implied volatility alongside stable recent realized volatility, with Bitcoin’s…

加密貨幣選擇權波動率市場微結構
Amberdata research

This weekly crypto market snapshot combines regulatory and company news with indicators of institutional activity and derivatives positioning. It covers the launch of XRP and Dogecoin ETFs, Tether’s U.S.-focused stablecoin, a large corporate Solana purchase,…

加密貨幣期貨市場情緒市場微結構
Amberdata research

The document compares Ethereum, Polygon, BNB Chain, Avalanche, Arbitrum, Optimism, and Base by their early network histories. It describes how each network differs in architecture, consensus, execution environment, token use, and launch context, then uses…

加密貨幣鏈上資料統計市場微結構
Amberdata research

This note describes a two-stage ranking factor for equities. For each stock, it ranks the recent ten-day low-price observations through time, then ranks those values across stocks on the same date. The intended interpretation is that a larger final factor…

股票因子投資統計回測
Amberdata research

This case study describes how blockchain ratings company Metafide used a third-party data platform to support an AI and machine-learning product. Its required inputs spanned blockchain networks, crypto market data, decentralized finance, and several traded…

加密貨幣機器學習鏈上資料去中心化金融
Amberdata research

The article argues that ETH options volatility may offer a long-volatility opportunity despite the historically positive variance risk premium often observed in crypto. It compares ETH and BTC implied and realized volatility, describing ETH’s relative…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This market commentary examines crypto options and volatility around the US presidential inauguration, alongside regulatory developments and upcoming economic releases. It argues that Bitcoin’s implied volatility around the event was close to the realized…

加密貨幣選擇權波動率永續期貨
Amberdata research

This overview frames institutional digital-asset adoption around three operational challenges: custody, compliance, and market infrastructure. It explains that private-key loss can mean permanent loss of bearer assets, and describes institutional use of…

加密貨幣去中心化金融風險管理市場微結構
Amberdata research

The document explains how to read order book depth snapshots and update sequences to assess liquidity, possible support and resistance, and the price impact of larger trades. Comparing bid and ask stacks over time can reveal whether displayed liquidity…

加密貨幣市場微結構交易執行風險管理
Amberdata research

This market recap reviews BTC and ETH options conditions around ETF-related news. It describes a surge in realized volatility followed by lower implied volatility after the event, and explains that the resulting negative volatility carry is not, by itself, a…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This article explains governance and day-to-day management practices for organizations handling crypto market, blockchain, liquidity, and customer data. It recommends assigning data stewards, setting access rules, defining quality standards, protecting data…

加密貨幣鏈上資料去中心化金融風險管理
Amberdata research

The document outlines ways to compare blockchain activity and use cross-chain data in trading research. It proposes converting transaction volume into a common currency, aligning observations across networks in time, and adjusting measurements so activity…

加密貨幣鏈上資料套利交易執行
Amberdata research

The article compares the first 30 trading days of US spot Bitcoin and Ethereum ETFs, examining net flows, assets under management, issuer patterns, and asset prices. It reports substantial Bitcoin ETF inflows alongside redemptions from Grayscale, while…

加密貨幣多資產現貨市場事件驅動
Amberdata research

This market snapshot reviews Coinbase’s crypto futures approval and Base’s launch alongside activity across centralized exchanges, decentralized exchanges, lending markets, and several blockchain networks. It reports declining exchange volumes and market…

加密貨幣現貨市場去中心化金融永續期貨