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 analysis compares Uniswap and SushiSwap using multiple decentralized exchange metrics, arguing that total value locked alone gives an incomplete view of protocol use. It examines liquidity in asset units alongside dollar-denominated TVL, deployed…

加密貨幣去中心化金融市場微結構套利
Amberdata research

This market recap discusses Bitcoin and Ether options through realized volatility, implied volatility term structure, skew, and relative value. It reports that realized volatility was in the 40s, front-end implied volatility fell by 3–5 volatility points,…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This podcast recap follows dYdX founder Antonio Juliano’s account of the exchange’s development, from early decentralized margin trading to perpetual contracts. It describes the protocol’s move from an Ethereum layer-one design toward layer-two scaling using…

加密貨幣永續期貨去中心化金融衍生品定價
Amberdata research

The article surveys how crypto firms and traditional financial institutions responded to the 2022–23 market downturn. It describes venture investment and expansion, wallet and custody partnerships, financial AI development, crypto exchange launches, and…

加密貨幣去中心化金融現貨市場事件驅動
Amberdata research

This primer explains how blockchain tokens can represent claims on physical or financial assets, from commodities and property to treasuries and intellectual property. It outlines the infrastructure involved, including smart contracts, legal and compliance…

去中心化金融鏈上資料大宗商品固定收益
Amberdata research

This document explains an informational chart panel that flags unusually large price bars as possible news-driven volatility. Its core calculation compares the current bar’s high-low range with an ATR baseline multiplied by a user-set threshold. A trader can…

波動率技術指標風險管理部位規模
Amberdata research

The document explains funding rates as periodic transfers between long and short holders of perpetual futures. The payment direction depends on whether the contract trades above or below its reference index: positive rates charge longs and credit shorts,…

加密貨幣期貨永續期貨套利
Amberdata research

This weekly derivatives recap describes Bitcoin and Ether options conditions during a period of crypto market weakness. It reviews realized volatility, the shape of options term structures, skew, trading flows, and dealer gamma positioning. The recap reports…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This report explains how bid and ask quantities, volume profiles, and order book imbalance can be used to interpret trading conditions in ETH markets. It describes watching changes in displayed bid and ask size alongside price, and treating divergence or…

加密貨幣市場微結構市場情緒技術指標
Amberdata research

This market update reviews Bitcoin and Ether derivatives conditions using realized volatility, options term structure, skew, option flows, and dealer gamma positioning. It reports that realized volatility had fallen into the low twenties, with Bitcoin’s…

加密貨幣選擇權波動率市場情緒
Amberdata research

The document describes a Chinese A-share screening rule focused on metaverse companies listed on the Shenzhen main board. It selects stocks with a circulating share count no greater than 5.5 billion and filters for price-to-earnings ratios from zero to 29.01…

股票中國市場因子投資統計
Amberdata research

The article describes how cryptocurrency was used during Russia’s invasion of Ukraine to raise funds for the Ukrainian government, military, and aid organizations, and to help displaced people access money. It cites donations through activist groups, NFT…

加密貨幣風險管理
Amberdata research

The document outlines two broad data sources for digital asset research: exchange market data and blockchain-derived on-chain data. For markets, it describes needs such as streaming and historical prices, order book levels and events, best bid and offer,…

加密貨幣鏈上資料市場微結構交易執行
Amberdata research

This podcast recap explains how options positioning and dealer hedging can connect derivatives flows with movements in stocks and indices. It describes gamma-based analysis as a way to estimate where dealers may need to buy or sell the underlying, and…

選擇權波動率市場微結構交易執行
Amberdata research

This weekly market commentary links crypto options pricing and positioning to Federal Reserve remarks, inflation releases, and potential spot ETF news. It describes Bitcoin’s flat term structure and elevated volatility risk premium, notes differing…

加密貨幣選擇權波動率衍生品定價
Amberdata research

The article describes wallet-level blockchain data, including transaction histories, current and historical balances, token transfers, and smart-contract logs and functions. It explains how tracing address activity and connections can help institutions…

加密貨幣鏈上資料去中心化金融風險管理
Amberdata research

This digital-asset snapshot discusses Bitcoin’s rally above $70,000 and frames ETF demand, the approaching supply halving, and possible approval of an Ethereum ETF as supportive factors. It also explains that Ethereum’s Dencun upgrade introduced blob storage…

加密貨幣現貨市場去中心化金融市場情緒
Amberdata research

The guide explains decentralized exchanges as peer-to-peer venues where smart contracts execute token trades, often through automated market makers rather than conventional order books. It describes liquidity pools as reserves of token pairs supplied by…

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

The document introduces Zcash shielded transactions and explains that zero-knowledge proofs can verify a statement without revealing the underlying information. It distinguishes four transaction patterns: transfers between shielded addresses, transfers from…

加密貨幣鏈上資料
Amberdata research

This article describes how high-frequency trading (HFT) can shape cryptocurrency order books. It presents cross-exchange arbitrage as one HFT approach and discusses possible effects including deeper displayed liquidity, tighter bid-ask spreads, faster price…

加密貨幣高頻交易套利市場微結構
Amberdata research

This brief mid-week recap summarizes Bitcoin and Ether derivatives conditions as spot prices rose ahead of US inflation data in April 2023. It reports Bitcoin 10-day realized volatility reaching 31%, an inverted term structure in both assets, and renewed…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This market outlook links a possible year-end crypto rally to expectations of a Federal Reserve rate cut and other supportive headlines. It reports a sharp change in the cited December rate-cut probability, describes thin holiday trading as a setting where…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This brief market recap summarizes observations about Bitcoin and Ether derivatives for the week around March 1, 2023. It reports that implied volatility near Bitcoin’s $25,000 resistance level fell, the Bitcoin term structure returned to contango, and skew…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This analysis studies whether lending activity in USDC, USDT, and DAI can help anticipate Ethereum volatility. It examines lagged repayments, withdrawals, and borrowing, then defines shock days as days when repayment counts exceed each stablecoin’s…

加密貨幣去中心化金融波動率統計