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

163 份文件

Kraken Learn

The document offers general criteria for comparing crypto exchange staking services: supported assets, fee levels, reward transparency, security practices, and whether staking is flexible or tied to a fixed term. It notes that flexible access can come with…

加密貨幣風險管理
Kraken Learn

The document introduces USDC as a stablecoin designed to track the US dollar. It says the token launched on Ethereum in 2018 and is now available across several major blockchains, giving a brief overview of its development and distribution. It also…

加密貨幣現貨市場
Kraken Learn

The document explains permissionlessness as the ability to use a financial network without asking a central intermediary to authorize each action. It describes public blockchains as open networks where participants can join, contribute computing resources,…

加密貨幣現貨市場鏈上資料
Kraken Learn

This survey article examines how U.S. cryptocurrency holders view and use memecoins. It reports that 85% of respondents invest in them and that 76% consider the potential reward worth the risk. The article describes price volatility and the prospect of…

加密貨幣市場情緒波動率統計
Kraken Learn

A bear trap is a brief move below apparent support that draws traders into short positions before the price reverses upward. As short sellers close losing positions, their buying can add to the rebound. The document describes this pattern as a misleading…

技術指標突破風險管理
Kraken Learn

This survey report describes crypto holders’ experiences with fraud, theft, and common account or transaction mistakes. It says many respondents worry more about errors they might make themselves than attacks by others, and that security concerns have kept…

加密貨幣去中心化金融風險管理市場情緒
Kraken Learn

This short investor overview links semiconductor demand to continued investment in artificial intelligence infrastructure, data centers, and edge computing. It also notes the sector's role in cloud computing, electric vehicles, and industrial automation.…

股票美國市場因子投資風險管理
Kraken Learn

The document discusses features that matter when selecting a cryptocurrency exchange for day trading: reliability, security, regional access, liquidity, fees, charting, order types, leverage, and API support. It describes maker-taker pricing, volume-based…

加密貨幣交易執行風險管理市場微結構
Kraken Learn

The document explains Ethereum’s transition from proof of work to proof of stake through the integration of the Beacon Chain with the main network. Under proof of work, miners competed to validate transactions through computation; after the transition,…

加密貨幣去中心化金融鏈上資料
Kraken Learn

This overview describes how Canadian taxpayers may report crypto activity under capital gains or business income treatment. It states that classification depends on the nature of the taxpayer’s activities: capital gains are taxed on half the gain, while…

加密貨幣風險管理
Kraken Learn

The document explains that cryptocurrency mining supplies computational work used to secure proof-of-work networks. Participants contribute computing power to the network’s consensus process and may receive block rewards in the network’s native…

加密貨幣市場微結構
Kraken Learn

The document explains RSI divergence as a mismatch between price movement and momentum measured by the Relative Strength Index. It distinguishes regular divergence, which can point to a possible reversal, from hidden divergence, which may support…

加密貨幣技術指標動能風險管理
Kraken Learn

The document explains Runes, a protocol for creating fungible tokens on Bitcoin. Rather than relying on inscription data attached to individual satoshis in the manner described for BRC-20 tokens, Runes uses Bitcoin’s UTXO transaction model. Transaction…

加密貨幣現貨市場鏈上資料去中心化金融
Kraken Learn

The document explains that stablecoin returns generally come from lending or depositing tokens with centralized platforms or decentralized lending protocols. It distinguishes custodial services from on-chain options, where rates can vary with borrower…

加密貨幣去中心化金融風險管理鏈上資料
Kraken Learn

The excerpt describes Bitcoin’s early price development, focusing on its transition from minimal movement in 2010 to crossing the one-dollar mark in 2011 and briefly rising above eight dollars. It also explains the 2012 halving, when the block reward fell…

加密貨幣波動率事件驅動
Kraken Learn

The article presents chart patterns as possible ways to frame trade direction, entry, and invalidation. Its example uses a bull flag on an hourly chart: wait for a close above the upper boundary before entering, and treat a close below the lower boundary as…

加密貨幣技術指標突破風險管理
Kraken Learn

The document defines algorithmic stablecoins as digital assets designed to track fiat currencies, usually the US dollar, without relying on backing by real assets. Instead, their mechanisms use algorithms, commonly by adjusting circulating token supply in…

加密貨幣去中心化金融鏈上資料風險管理
Kraken Learn

This overview introduces decentralized finance protocols and outlines how users may access them. It describes decentralized exchanges for swapping cryptoassets and lending protocols for borrowing or earning interest. Smart contracts automate processes that…

加密貨幣去中心化金融風險管理
Kraken Learn

The document introduces decentralized finance as a blockchain-based ecosystem for services such as trading, lending, and borrowing. It presents these services as alternatives that can make financial tools more accessible and transparent than traditional…

加密貨幣去中心化金融