Skip to content

Knowledge library

Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.

Quant Q&A
20,364 documents
SuperMind
12,226 documents
OKX Learn
8,431 documents
Strategy library
7,910 documents
MQL5 code base
7,090 documents
BigQuant
3,481 documents
Bitget Academy
3,298 documents
MQL5 articles
3,012 documents
TradingView scripts
1,976 documents
ProRealCode
1,507 documents
Deribit Insights
1,232 documents
Machine Learning for Trading
1,124 documents
arXiv papers
1,033 documents
Amberdata research
766 documents
FMZ forum
682 documents
FMZ digest
662 documents
vn.py community
560 documents
QuantInsti blog
511 documents
Galaxy Research
340 documents
QuantStart
246 documents
Stratmill research code
219 documents
Robot Wealth
195 documents
NautilusTrader
191 documents
Hummingbot docs
181 documents
Paradigm research
175 documents
Lumibot
164 documents
Kraken Learn
163 documents
Quant course library
157 documents
OctoBot
152 documents
Cryptohopper blog
144 documents
Systematic trading blog (Rob Carver)
132 documents
Qlib
116 documents
TqSdk
86 documents
Quantpedia
86 documents
Hyperliquid docs
79 documents
Freqtrade
68 documents
Hudson & Thames
62 documents
Awesome Systematic Trading
61 documents
backtrader
54 documents
vn.py
50 documents
Quantopian lectures
45 documents
Binance API docs
45 documents
FMZ guides
38 documents
pysystemtrade
34 documents
Freqtrade docs
32 documents
quant-trading
31 documents
FinRL
28 documents
Zipline
22 documents
FMZ live strategies
21 documents
Jesse
17 documents
pyfolio
16 documents
Alphalens
14 documents
WonderTrader
14 documents
backtesting.py
11 documents
Technical Analysis
9 documents
QTPyLib
8 documents
QuantRocket
7 documents
Lumibot strategies
7 documents
Awesome Quant
1 documents

Search the library

3,298 documents

Bitget Academy

The article compares ways to monitor Nvidia shares, from financial data providers and brokerages to multi-asset platforms offering tokenized stock exposure. It distinguishes delayed quotes from real-time feeds and discusses platform features such as…

EquitiesUS marketsExecutionMarket microstructure
Bitget Academy

The document explains leveraged trading as using borrowed funds to take a position larger than the trader’s cash balance. Its example compares a $1,000 account trading with and without 2x leverage: a 1% price move produces twice the dollar gain or loss at…

CryptoPerpetual futuresRisk managementPosition sizing
Bitget Academy

The document profiles Panda Farm, an Arbitrum-based GameFi project where players use Panda NFTs in competitions with prize pools. It describes NFTs with randomly assigned attributes that affect game outcomes and can be depleted or improved through in-game…

CryptoOn-chain dataDeFiPosition sizing
Bitget Academy

The document outlines ways to monitor the SAI token through Sharpe AI’s search feature, token or market pages, and optional price alerts. It describes the search function as a quick overview, while charts, volume, and historical views support closer…

CryptoSpot marketsMarket microstructureStatistics
Bitget Academy

The document explains why a displayed bid-ask spread alone is an incomplete measure of execution quality in MSTR futures. It recommends checking top-of-book size, nearby depth, slippage, and book stability, while accounting for funding costs and expected…

FuturesExecutionMarket microstructureVolatility
Bitget Academy

The document describes how Bitget Stocks 2.0 says its rTokens track the economic performance of U.S. equities without granting direct share ownership or voting rights. It outlines a process in which dividends are mapped to token balances on the record date,…

EquitiesOn-chain dataUS marketsEvent-driven
Bitget Academy

The tutorial explains how a candlestick summarizes price movement over a chosen interval. Each candle records the open, close, high, and low; its body shows the relationship between opening and closing prices, while its shadows extend to the period’s…

CryptoTechnical indicatorsStatistics
Bitget Academy

This article presents social media as a supplementary way to gauge sentiment in crypto markets, especially for newer projects with limited price history or fundamental information. It suggests monitoring project channels, forums, and chat communities,…

CryptoSentimentStatistics
Bitget Academy

Scallop is described as a decentralized money market on Sui where users supply assets to pools to earn interest and borrowers draw from those pools against collateral. The article outlines risk controls including collateral and borrow weights, limits on…

CryptoDeFiRisk management
Bitget Academy

The document introduces KRW1, a Korean won-pegged token issued by BDACS on Avalanche and backed by won reserves held at Woori Bank. It describes the project’s intended reserve transparency through real-time links to bank systems and presents the token as an…

CryptoOn-chain dataSpot marketsMarket microstructure
Bitget Academy

This guide argues that a trade’s profit or loss is an incomplete measure of its quality. A planned trade can lose through ordinary uncertainty, while an impulsive trade can profit by chance. It proposes reviewing gold CFD trades across market assessment,…

CommoditiesRisk managementPosition sizingBacktesting
Bitget Academy

The document describes MegaSwap, a centralized exchange feature that routes token conversions across multiple blockchain networks and aggregates decentralized exchanges. It explains the user flow, connections between exchange and swap balances, external…

CryptoDeFiExecutionMarket microstructure
Bitget Academy

The document introduces KRW1, a Korean won-pegged token issued by BDACS on Avalanche and backed by won reserves held at Woori Bank. It describes the project’s intended reserve transparency through real-time links to bank systems and presents the token as an…

CryptoOn-chain dataSpot marketsMarket microstructure
Bitget Academy

The document describes PublicAI, a blockchain-based network for collecting and validating data used in AI training. Contributors perform tasks across text, image, audio, video, and mapping data; work may be pre-labeled by AI and then refined or checked by…

CryptoMachine learningOn-chain dataRisk management
Bitget Academy

The article reviews World Liberty Financial’s WLFI token launch, describing its political association, governance role, planned stablecoin and lending products, and first-day trading activity. It presents the launch valuation, volume, initial price movement,…

CryptoDeFiSentimentRisk management
Bitget Academy

The article compares gold-backed tokens such as PAXG and XAUT with gold ETFs, outlining how U.S. investors might buy each through crypto exchanges or traditional brokerages. It describes tokenized gold as fractional, transferable, and available for trading…

CryptoCommoditiesSpot marketsRisk management
Bitget Academy

The article surveys tokens and projects it associates with Donald Trump or World Liberty Financial, including Official Trump, USD1, WLFI, Pyth, Dolomite, and Cronos. It distinguishes direct branding or ecosystem relationships from infrastructure and protocol…

CryptoVolatilitySentimentDeFi
Bitget Academy

The article frames SpaceX’s post-IPO decline as a question of whether the lower share price offers an entry point or reflects excessive valuation. It reviews price levels around the IPO price, recent low, and post-listing peak, and identifies the upcoming…

EquitiesUS marketsEvent-drivenRisk management
Bitget Academy

The article explains how exchange-traded products can provide Bitcoin exposure through a brokerage account without requiring investors to manage wallets or private keys. It describes physical backing and custody, then contrasts ETP structures with…

CryptoSpot marketsUS markets
Bitget Academy

The article introduces blockchain as a shared ledger whose transaction records are distributed across a network and become difficult to alter after confirmation. It traces the technology from Bitcoin to enterprise platforms, describing examples in finance,…

CryptoMulti-asset
Bitget Academy

The article explains how traders can limit market impact when executing large TSLAUSDT perpetual futures orders. It recommends measuring the spread and cumulative order-book depth, estimating the full order’s average fill price, setting a slippage limit, and…

FuturesCryptoExecutionMarket microstructure
Bitget Academy

The article describes Paal AI as a crypto research and trading ecosystem, presenting PaalX as a natural-language trading assistant and MyPaal as a research tool for social and on-chain signals. It also outlines possible PAAL token utilities and explains how…

CryptoMachine learningOn-chain dataSentiment
Bitget Academy

The article describes Tutorial (TUT) as a meme token that began as a demonstration for launching a cryptocurrency on BNB Chain and is presented as an educational project. Its central feature is Tutorial Agent, an AI assistant intended to explain topics such…

CryptoDeFiMachine learningSpot markets