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
WonderTrader
14 份文件
Alphalens
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 compares three types of privacy-enhancing tools in digital assets: mixers, privacy coins, and zero-knowledge proofs. Mixers obscure the link between senders and receivers, while privacy coins can conceal transaction details at the protocol…

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

The article compares Bitcoin market conditions in late 2023 with the rally in late 2020, using spot returns, options implied volatility, futures basis, and realized volatility. It reports that implied volatility was near its 2023 high amid call buying, while…

加密貨幣選擇權期貨波動率
Amberdata research

The document introduces Uniswap V3’s concentrated liquidity, where providers allocate liquidity within chosen price ranges, and explains how to examine decentralized exchange activity through trade records, prices, and OHLCV aggregates. Individual trades…

加密貨幣去中心化金融市場微結構交易執行
Amberdata research

This notice describes global cryptocurrency reference rates calculated as volume-weighted moving averages across exchanges. Users can request a rate by asset symbol, aggregating across exchanges and cross-rate pairs, or by a specific trading pair,…

加密貨幣現貨市場市場微結構
Amberdata research

This podcast summary describes SOMA.finance’s plans to connect traditional finance with blockchain markets through token issuance, a decentralized exchange, and yield products. It says the platform aims to support tokenized securities and digital assets,…

去中心化金融加密貨幣股票大宗商品
Amberdata research

The document reviews BTC and ETH conditions after a sharp market squeeze, connecting macro uncertainty and price levels with options pricing. It describes falling implied volatility alongside elevated realized volatility, negative carry, changes in term…

加密貨幣選擇權波動率市場情緒
Amberdata research

FalconX product manager Jill Gao describes moving from traditional finance into crypto product development and discusses changes in institutional trading. The document outlines Marketspot, a Telegram-based analytics tool that lets users query historical…

加密貨幣選擇權波動率永續期貨
Amberdata research

This market commentary combines a US macro calendar with views on Japanese rates, Bitcoin, and Ethereum options. It notes that the Federal Reserve decision and US employment report could move markets, while a weaker employment result might support bonds and…

加密貨幣選擇權波動率外匯
Amberdata research

This report surveys digital-asset market conditions in the first quarter of 2025, connecting sharp price moves with macroeconomic news, regulatory actions, exchange security events, and institutional positioning. It discusses Bitcoin and Ethereum, ETF flows,…

加密貨幣鏈上資料衍生品定價波動率
Amberdata research

This post outlines a Chinese equity screen that combines an amplitude threshold, a proxy for institutional buying, and a recent large daily gain. The intended logic is to find volatile stocks attracting institutional interest that have also shown a strong…

股票波動率動能技術指標
Amberdata research

This market recap reviews BTC and ETH options positioning during a period when spot prices struggled near technical levels and traders anticipated volatility around the Bitcoin halving. It compares realized and implied volatility, term structures, skew,…

加密貨幣選擇權波動率風險管理
Amberdata research

The document summarizes research and a webinar discussion of Bitcoin options across bull, bear, and volatile market conditions. The presenters examined the volatility surface and its regimes, and argued that traders may find opportunities by adapting ideas…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This brief market recap points readers to four themes in Bitcoin and Ether derivatives: pronounced put skew, the volatility spread between ETH and BTC, large realized-volatility days influencing markets, and buying of longer-dated calls described as…

加密貨幣選擇權波動率衍生品定價
Amberdata research

The document argues that informed DeFi analysis requires four complementary data views: protocol, pool, asset, and wallet. Protocol data supports comparisons across financial functions such as lending, staking, and asset management. Pool data describes…

去中心化金融加密貨幣鏈上資料套利
Amberdata research

This overview surveys ways institutions can seek yield in decentralized finance, including lending, liquidity provision, staking, and yield farming. It outlines the main exposures associated with each: smart-contract and liquidation risks in lending,…

去中心化金融加密貨幣風險管理交易執行
Amberdata research

The document outlines how decentralized finance uses blockchain networks and smart contracts to provide services such as trading, lending, and borrowing. It describes potential advantages over traditional finance, including broader geographic access, direct…

加密貨幣去中心化金融風險管理
Amberdata research

This brief market recap describes conditions in Bitcoin and Ether derivatives as of February 8, 2023. It tracks realized volatility, futures or options term structure, skew, and observed option flows. The reported picture is declining realized volatility, a…

加密貨幣選擇權波動率衍生品定價
Amberdata research

The document introduces decentralized finance as blockchain based software that can perform functions commonly handled by financial institutions. It describes smart contracts supporting lending, trading, liquidity pools, risk management, derivatives,…

加密貨幣去中心化金融套利鏈上資料
Amberdata research

The episode explains how Ethereum’s move to proof of stake helped create demand for liquid staking. Users stake ETH and receive liquid staking tokens that can be used in decentralized finance, lowering the technical and asset threshold for participating in…

加密貨幣去中心化金融鏈上資料
Amberdata research

This market recap reviews BTC and ETH options after a sharp spot recovery. It discusses realized and implied volatility, term structures, volatility carry, call and put skew, relative value between the assets, option flows, and dealer gamma. The commentary…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This weekly snapshot reviews digital-asset activity from February 6 to 13, 2024. It compares centralized exchange volume in major Bitcoin quote pairs, decentralized exchange volumes, lending deposits and withdrawals, token-level depositor activity, and…

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

The document outlines a framework for estimating implied volatility and theoretical option values for altcoins without actively traded options. An Altcoin SVI endpoint bootstraps volatility curves and recalibrates them every 24 hours for 7-day and 30-day…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This market recap interprets a sharp Bitcoin rally and concurrent Ethereum strength through realized and implied volatility, term structure, skew, option flows, and dealer gamma. It reports that volatility rose as spot advanced, options buyers chased upside…

加密貨幣選擇權波動率市場微結構
Amberdata research

This document describes a Chinese A-share stock screen combining a technical condition, an earnings-growth filter, and price trend checks. The initial version selects stocks with RSI below 65, year-over-year growth in net profit attributable to…

中國市場股票技術指標因子投資