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
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
QuantRocket
7 份文件
Lumibot strategies
7 份文件
Awesome Quant
1 份文件

搜尋圖書館

3,298 份文件

Bitget Academy

This market commentary attributes gains in U.S., European, and Asian stock futures to strong corporate earnings, technology sector strength, and easing trade tensions. It cites reported S&P 500 and Nasdaq-100 futures moves, the share of reporting S&P 500…

期貨股票大宗商品加密貨幣
Bitget Academy

This guide describes the team format for Bitget’s KCGI trading competition, including how team profit and loss is calculated, which participants count toward the calculation, prize allocations, and additional captain rewards. Members in the top ten must meet…

加密貨幣期貨風險管理
Bitget Academy

The article outlines Monad’s planned public token sale and mainnet launch, describing its EVM-compatible network, proposed performance targets, validator setup, and sale allocation. It explains the stated distribution across ecosystem development, team,…

加密貨幣風險管理波動率現貨市場
Bitget Academy

The article introduces MetaTrader 5 as a multi-asset platform for trading contracts for difference. It describes charting and analysis features, Expert Advisors and MQL5 automation, multi-threaded backtesting, a built-in economic calendar, and a Depth of…

加密貨幣外匯技術指標交易執行
Bitget Academy

The article contrasts Peach Bitcoin, a peer-to-peer app for trading Bitcoin, with centralized crypto exchanges. It explains the P2P process: users post offers, match with counterparties, and rely on multisignature escrow and dispute support to release…

加密貨幣交易執行市場微結構
Bitget Academy

The document introduces ZeroLend as a permissionless lending protocol operating across several Layer 2 networks. It describes standard crypto lending alongside markets for liquid restaking tokens and tokenized real-world assets. Suppliers deposit assets to…

加密貨幣去中心化金融鏈上資料衍生品定價
Bitget Academy

The document describes Bitget Cash Plus, a platform product that converts USDT or USDC into Cash+ tokens at a 1:1 ratio. It says balances earn daily compounded interest beginning on T+1 and can be redeemed at any time, with funds returned in real time. The…

加密貨幣固定收益現貨市場風險管理
Bitget Academy

The document reviews July U.S. PCE inflation and consumer spending, explaining why headline and core PCE readings matter to Federal Reserve policy. It reports headline PCE at 3.7% year over year and core PCE at 3.3%, with both up 0.2% month over month. It…

統計美國市場波動率事件驅動
Bitget Academy

The article explains that the key distinction between custodial and non-custodial Bitcoin wallets is who controls the private keys. A custodian, often an exchange, signs transactions for the user and may offer account recovery, integrated trading, and…

加密貨幣風險管理交易執行現貨市場
Bitget Academy

The article introduces Ordibank as a Bitcoin layer-one lending protocol that uses off-chain balance processing and virtualized smart-contract logic, drawing on a model likened to Compound Finance. Users are described as depositing assets such as BTC, BRC20,…

加密貨幣去中心化金融風險管理
Bitget Academy

The article frames investment in WLFI as a choice between direct token ownership and indirect exposure through ALT5 Sigma, a publicly traded company described as shifting toward a WLFI treasury strategy. It says ALT5 raised $1.5 billion through an issuance…

加密貨幣股票美國市場風險管理
Bitget Academy

The article describes Blur as an Ethereum NFT marketplace and aggregation platform, then presents its growth and user incentives alongside Bitget’s February 2023 BLUR listing. It reports that Blur’s daily trading volume had exceeded OpenSea’s each day since…

加密貨幣現貨市場市場微結構市場情緒
Bitget Academy

The article explains how to interpret the Federal Reserve’s September 2026 projections for interest rates and relate them to equities and metals. It reports the officials’ median estimates for the federal funds rate, GDP growth, unemployment, and inflation…

股票大宗商品固定收益美國市場
Bitget Academy

The article describes Bitget Stocks 2.0 and its use of selected tokenized U.S. stocks and ETFs as collateral in a Unified Trading Account. It says eligible rTokens can contribute to margin for USDT-margined futures under Multi-Asset Mode, subject to account,…

加密貨幣股票期貨多資產
Bitget Academy

The article introduces Polygon as a scaling network intended to address Ethereum’s transaction costs and throughput constraints. It describes Polygon as operating alongside Ethereum and says applications can process activity on the additional network before…

加密貨幣去中心化金融現貨市場
Bitget Academy

The article outlines the planned Linea token launch and airdrop, describing Linea as an Ethereum Layer 2 network using zkEVM technology. It says eligibility is based on LXP and LXP-L activity, including participation in network campaigns, testnet use, DeFi…

加密貨幣鏈上資料波動率事件驅動
Bitget Academy

The article compares seven cryptocurrency exchanges—Bitget, Coinbase, Binance, Crypto.com, KuCoin, Gemini, and MEXC—through the lens of security and usability for new traders. It highlights practices such as cold storage, two-factor authentication,…

加密貨幣風險管理現貨市場
Bitget Academy

This document contrasts two ways to participate in exchange-hosted crypto token launches. In the Launchpool model it describes, users stake supported assets to receive new tokens, with rewards calculated from estimated yield and distributed hourly. The…

加密貨幣現貨市場風險管理
Bitget Academy

This guide introduces Phala Network’s PHA token to US investors, describing it as connected to decentralized infrastructure and privacy-focused computing. It presents a comparison of several exchanges and outlines ways to monitor PHA, including exchange…

加密貨幣鏈上資料技術指標市場情緒
Bitget Academy

This document outlines a trend-following approach for gold, equity indices, crude oil, and major forex pairs. It uses the 20, 50, and 200 exponential moving averages to define direction: bullish or bearish alignment requires price and the averages to be…

大宗商品股票趨勢追蹤技術指標
Bitget Academy

The guide compares centralized exchanges, decentralized swaps, and peer-to-peer trades for converting SOL into dollars or dollar-pegged stablecoins. It recommends evaluating fees, spreads, liquidity, execution speed, security, and regional fiat access. Its…

加密貨幣現貨市場交易執行市場微結構
Bitget Academy

The article presents a short-term outlook for Pi Coin in June 2025, combining recent price action, chart levels, ecosystem developments, and community sentiment. It describes a fall from the February peak, a sharp May rally tied to update rumors, and a…

加密貨幣技術指標突破市場情緒
Bitget Academy

The document introduces decentralized physical infrastructure networks, or DePIN, as projects that use blockchain tokens to reward people who contribute physical resources such as storage, computing capacity, wireless coverage, or energy assets. It presents…

加密貨幣去中心化金融鏈上資料多資產
Bitget Academy

The document proposes a trend-following method that tracks two groups of moving averages: a faster group using periods 4, 7, 11, 14, and 17, and a slower group using periods 30, 35, 40, 45, and 50. It treats tightly clustered, flat averages as a…

技術指標突破趨勢追蹤風險管理