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
Quantpedia
86 份文件
TqSdk
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
Quantopian 講座
45 份文件
Binance API docs
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
Lumibot strategies
7 份文件
QuantRocket
7 份文件
Awesome Quant
1 份文件

搜尋圖書館

766 份文件

Amberdata research

This market snapshot discusses conditions around Bitcoin’s fourth block reward halving and Hong Kong’s approval of Bitcoin and Ether exchange traded funds. It connects Bitcoin’s new Runes token activity with higher transaction counts and fees, and contrasts…

加密貨幣鏈上資料現貨市場去中心化金融
Amberdata research

This interview-based article discusses how to research open-source crypto protocols, using Ethereum as a central example. Its proposed framework is to identify a protocol’s purpose, examine how development and decisions are organized, map influential…

加密貨幣去中心化金融鏈上資料風險管理
Amberdata research

This podcast article introduces Hashflow’s approach to decentralized trading across blockchains. It describes a request-for-quote model in which traders request prices from market makers, alongside an intent-based routing system intended to find liquidity…

加密貨幣去中心化金融做市交易執行
Amberdata research

This episode recap discusses crypto market structure, macroeconomic themes, and options positioning across Bitcoin, Ethereum, and Solana. It describes subdued sentiment alongside recovering prices, contrasts crypto with equities and gold, and presents the…

加密貨幣選擇權波動率市場情緒
Amberdata research

The document introduces crypto calls and puts, explaining the buyer’s rights and the seller’s obligations. It describes moneyness by comparing the strike with the underlying price, and outlines intrinsic value and time value. It also introduces delta, gamma,…

加密貨幣選擇權衍生品定價波動率
Amberdata research

This weekly recap describes conditions in BTC and ETH options around a major BTC expiry. It reports that BTC realized volatility had declined, with seven-day realized volatility returning to the 30s. The term structures changed little: front-end volatility…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This report reviews Ethereum market and ecosystem developments across early 2025, linking price weakness and volatility to macroeconomic pressure, a major exchange hack, institutional ETF positioning, staking yields, and network upgrades. It describes…

加密貨幣鏈上資料市場情緒波動率
Amberdata research

This market review examines crypto options and volatility during the sharp January 2023 rally. It connects the post-inflation-data rise in Bitcoin and Ether with higher realized and implied volatility, a backwardated Bitcoin volatility term structure, and…

加密貨幣選擇權波動率市場微結構
Amberdata research

This weekly digital asset report combines price and volume changes with derivatives positioning, orderbook liquidity, institutional flows, stablecoin supply, and DeFi activity. It interprets the reported pullback as consolidation after a rally: open interest…

加密貨幣永續期貨市場微結構市場情緒
Amberdata research

The document surveys ways to interpret crypto market sentiment using Bitcoin and Ethereum metrics, visual dashboards, and spot ETF flow data. It explains how Net Unrealized Profit/Loss compares market capitalization with realized capitalization, while…

加密貨幣市場情緒鏈上資料現貨市場
Amberdata research

The announcement describes Amberdata becoming an authorized redistributor of Coinbase Exchange market data. It says the Coinbase-derived historical datasets include tick-level trades, order books, hourly and daily OHLCV, and daily prices. The data is…

加密貨幣市場微結構交易執行
Amberdata research

The article reviews Bitcoin ETF flows during the first half of 2024, interpreting fund inflows and outflows as signals of investor interest and changing market sentiment. It reports strong first-quarter inflows to new spot funds, led by BlackRock’s IBIT and…

加密貨幣現貨市場市場情緒統計
Amberdata research

This article explains how to read implied-volatility skew in cryptocurrency options using the 25-delta risk reversal and butterfly. Risk reversal compares call and put implied volatility at matching deltas to show which side of the market is more bid; the…

加密貨幣選擇權波動率衍生品定價
Amberdata research

The article explains how spot crypto ETFs provide exposure through regulated brokerage products and, in the case of Bitcoin funds, hold the underlying asset. It argues that ETF purchases can shift coins out of open-market circulation, while familiar account…

加密貨幣現貨市場市場微結構投資組合建構
Amberdata research

This article outlines four risk controls for institutions investing in digital assets. Counterparty review includes examining exchanges or decentralized finance protocols, their past behavior in volatile periods, trading volumes, and order-book depth.…

加密貨幣風險管理部位規模市場微結構
Amberdata research

The document outlines how institutions can use on-chain data to assess a blockchain’s operational performance, economic resilience, and security. It groups useful observations into address activity, block capacity and production, token behavior and supply,…

加密貨幣鏈上資料去中心化金融風險管理
Amberdata research

The document explains options trading volume as activity over a period and open interest as the number of outstanding contracts. It suggests reading the two together to gauge participation, liquidity, and possible trend strength or fading activity. Examples…

加密貨幣選擇權衍生品定價市場微結構
Amberdata research

The dashboard reviews Bitcoin’s 2025 market through six regimes, tracking price, futures basis, open interest, and spot ETF flows. It argues that an annual return alone obscures large differences between phases, and describes a carry trade that pairs ETF…

加密貨幣期貨Carry(套息)風險管理
Amberdata research

The report interprets a 57-day crypto market selloff as a derivatives deleveraging event rather than clear evidence that bullish sentiment had ended. It describes how falling prices can trigger maintenance-margin liquidations, whose market orders push prices…

加密貨幣永續期貨市場微結構風險管理
Amberdata research

This market commentary reviews Bitcoin and Ethereum options after a rally and a major political event. It reports that realized volatility rose ahead of the event, while front-end implied volatility later fell as the event passed without major crypto policy…

加密貨幣選擇權波動率衍生品定價
Amberdata research

This weekly review links the July 2023 macro backdrop to crypto options pricing and reported trading flows. It describes low realized volatility, steepening futures contango, and a sizable variance risk premium, arguing that low implied volatility alone did…

加密貨幣選擇權波動率衍生品定價
Amberdata research

The article describes how crypto derivatives data can help traders assess uncertainty around elections. It focuses on implied volatility as a measure of expected price swings and open interest as an indication of outstanding positions and participation. It…

加密貨幣選擇權波動率衍生品定價
Amberdata research

The announcement describes a data service that records real-time and historical blockchain events at wallet, asset, and protocol levels. It presents this granularity as useful for institutional trading research, risk management, compliance, accounting, and…

加密貨幣去中心化金融鏈上資料回測
Amberdata research

The article argues that liquidity alone offers an incomplete view of volatile crypto markets. Traders and institutions also need context on how activity connects across blockchains, DeFi protocols, centralized exchanges, and stablecoin flows. Stablecoin…

加密貨幣鏈上資料去中心化金融市場微結構