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 document introduces Curve as an automated market maker and lending protocol deployed on Ethereum and other layer 2 networks. Its pools can support multiple tokens, including tokens backed by underlying ERC-20 collateral. Multi-token pools may reduce the…

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

This digital-asset market snapshot combines derivatives positioning, spot activity, order-book liquidity, funding, ETF flows, stablecoin supply, and DeFi lending conditions to assess a reported Bitcoin short squeeze. It describes shorts being liquidated more…

加密貨幣永續期貨市場微結構波動率
Amberdata research

This weekly market commentary reviews Bitcoin and Ether options positioning before a US inflation release in February 2023. It connects macro uncertainty and recent spot declines to implied volatility, realized volatility, term structure, and risk reversals.…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This recap reviews Bitcoin and Ether options and volatility conditions in early April 2023. It tracks realized volatility, term structure, put and call skew, options flow, and dealer gamma positioning as a compact framework for reading the derivatives…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This report reviews digital-asset market developments in Q4 2023 and gives an outlook for 2024. It discusses token prices, circulating supply, market capitalization, Bitcoin spot-exchange share and volume, and activity across blockchain networks and DeFi…

加密貨幣現貨市場去中心化金融市場情緒
Amberdata research

This market recap reviews BTC and ETH options conditions during a sharp spot-market selloff and rebound. It discusses realized and implied volatility, term structures, volatility carry, skew, relative value between ETH and BTC, options trading flows, and…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This podcast overview introduces Panoptic, a decentralized protocol for minting, trading, and making markets in perpetual put and call options. The conversation is described as covering co-founder Guillaume Lambert’s path from physics into decentralized…

去中心化金融選擇權衍生品定價做市
Amberdata research

This webinar overview describes a panel discussion about the development of digital asset markets and institutional participation. Its topics include market structure, regulation, trading technologies, institutional entry, and practical approaches to trading…

加密貨幣市場微結構交易執行
Amberdata research

This market commentary surveys crypto conditions around the period following Ethereum’s Shapella upgrade. It describes a permit-signature scam risk: gasless token approvals can look like ordinary wallet signatures, making it difficult for users to recognize…

加密貨幣交易執行市場微結構期貨
Amberdata research

This digital-asset market snapshot examines a broad selloff across Bitcoin, Ether, and altcoins through price changes, volatility, trading volume, open interest, funding, ETF and stablecoin flows, order-book depth, spreads, and DeFi liquidations. Its central…

加密貨幣市場微結構波動率風險管理
Amberdata research

This weekly market commentary reviews Bitcoin and Ethereum options ahead of US inflation releases and other macro events. It compares realized and implied volatility with historical ranges, examines the relative volatility of ETH and BTC, and discusses…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This podcast recap explains how real-world assets can be represented on blockchains, with examples including real estate, commodities, stablecoins, and Treasury-backed products. It presents tokenization as a way to broaden access, improve transferability,…

加密貨幣去中心化金融鏈上資料固定收益
Amberdata research

The commentary considers how trade war headlines and scheduled US economic releases could affect crypto prices and options volatility. Its base case is that Bitcoin remains in a broad consolidation range, with a possible test of the lower boundary and a…

加密貨幣選擇權波動率事件驅動
Amberdata research

The primer explains how Curve developed from a stablecoin-focused automated market maker into a broader DeFi ecosystem. It contrasts Curve’s dynamic invariant with constant-product pricing: the curve is flatter when a pool is balanced to reduce slippage,…

加密貨幣去中心化金融做市風險管理
Amberdata research

This weekly report examines Bitcoin and Ether options around regulatory news and a busy US macro calendar. It describes short-dated implied volatility rising after enforcement actions, a brief move into backwardation, and a flatter term structure afterward.…

加密貨幣選擇權波動率市場微結構
Amberdata research

The note links uncertainty after a US government shutdown to crypto risk and options pricing. It argues that missing October inflation and employment releases complicate the Federal Reserve’s December decision, while the FOMC minutes and other scheduled…

加密貨幣選擇權波動率風險管理
Amberdata research

This interview summary reports Shawn Douglass’s views on institutional participation in digital assets and DeFi, including how U.S. regulation may affect adoption. It says institutions continued building crypto capabilities after the FTX collapse and points…

加密貨幣去中心化金融選擇權套利
Amberdata research

This market snapshot connects crypto news and on-chain activity with spot-market, decentralized exchange, lending, and network indicators. It notes that BTC and ETH pairs remained prominent in centralized exchange dollar volume, while Binance’s share of…

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

The document introduces derivatives data views for examining options on IBIT and MSTR. It describes using long-dated at-the-money implied volatility and term structures with forward volatility to inspect how option pricing changes across maturities. It also…

選擇權波動率加密貨幣衍生品定價
Amberdata research

This midweek market note reviews Bitcoin and Ether options conditions as of January 24, 2023. It highlights resilient realized volatility, with Bitcoin rising again late the prior week, and term structures that were flat to slightly inverted and had edged…

加密貨幣選擇權波動率
Amberdata research

This overview explains how a crypto derivatives portfolio can combine instruments with positive and negative delta to keep net directional exposure near zero. Traders may then focus on changes in implied volatility, time decay, or other option effects rather…

加密貨幣選擇權波動率風險管理
Amberdata research

The article describes how historical crypto options data can support market research, algorithm development, and portfolio management. It identifies implied volatility, realized volatility, open interest, put/call ratios, price and volume records, and order…

加密貨幣選擇權波動率回測
Amberdata research

The document explains how authorized participants create and redeem crypto ETF shares in response to demand, producing net flows that can be monitored as a proxy for institutional activity. It presents inflows as a possible sign of rising demand and outflows…

加密貨幣市場情緒市場微結構
Amberdata research

The document describes an institutional data product for analyzing stablecoins across blockchains, decentralized finance, and centralized exchange venues. Its stated analytics include transfers, minting and burning, wallet activity, supply changes,…

加密貨幣鏈上資料去中心化金融市場微結構