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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
Binance API docs
45 documents
Quantopian lectures
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

12,303 documents

OKX Learn

The article describes factors that can attract attention to meme coins: cultural events, influencer activity, community narratives, and new token-creation or trading platforms. It also distinguishes projects that claim added utility, such as Layer 2…

CryptoSentimentVolatility
OKX Learn

The document reviews Pi Network’s mobile-based token mining model, reported community size, and the gap between users and those completing KYC. It describes Pi’s price as volatile, identifies resistance around $0.445–$0.46 and a price near $0.40, and…

CryptoTechnical indicatorsVolatility
OKX Learn

The article connects XRP’s ETF prospects with the conclusion of the SEC’s appeals against Ripple, filings by several asset managers, and Ripple’s cross-border payment service. It presents the legal resolution as improved regulatory clarity and reports…

CryptoEvent-drivenVolatilityTechnical indicators
OKX Learn

The article examines PENGU briefly recording more 24-hour trading volume than DOGE on Upbit, despite DOGE’s much larger market capitalization. It attributes the difference to speculative interest, trading momentum, liquidity, and Korean traders’…

CryptoMomentumTechnical indicatorsMarket microstructure
OKX Learn

The document explains how crypto liquidations happen when account equity falls below maintenance margin, prompting exchanges to close leveraged positions. It describes how forced selling can spread through liquidation cascades, worsening price swings and…

CryptoVolatilityRisk managementPerpetual futures
OKX Learn

The document explains how option Greeks describe an option’s sensitivity to underlying price, time, implied volatility, and interest rates. It introduces delta, theta, vega, and rho as first-order measures, then describes second-order measures such as gamma,…

CryptoOptionsDerivatives pricingVolatility
OKX Learn

The document presents Solana’s Proof of History, high claimed transaction capacity, and low fees as features supporting use in decentralized finance, gaming, and NFT markets. It also reviews competitive pressure from Ethereum scaling networks and other…

CryptoTechnical indicatorsVolatilityDeFi
OKX Learn

The document discusses Toncoin’s market access, institutional interest, Telegram integration, staking, and token concentration. It identifies a Robinhood listing in August 2025, venture funding, and a corporate treasury strategy involving staking and…

CryptoOn-chain dataVolatilityRisk management
OKX Learn

The document outlines PENGU’s role in the Pudgy Penguins ecosystem, its stated expansion from Solana toward Ethereum and Abstract Chain, and the project’s links to NFTs, retail products, licensing, gaming, and metaverse plans. It reports an allocation of 51%…

CryptoTechnical indicatorsVolatilityRisk management
OKX Learn

The document introduces MOODENG as a memecoin inspired by a popular Thai baby hippo and describes how viral attention and speculative trading contributed to its appeal. It notes reported rapid price gains and an early investor’s large return, presenting…

CryptoSentimentVolatility
OKX Learn

The article surveys how large holders may influence crypto prices and sentiment through buying, selling, or remaining inactive. It describes reported losses and selling in Ethereum, Solana, and meme coins, alongside whales who accumulate during declines. It…

CryptoOn-chain dataVolatilityTechnical indicators
OKX Learn

This article describes MEMELESS, a newly launched Solana memecoin traded through Pump.fun, and frames its rapid rise as an example of speculative momentum in low-barrier token markets. It reports a 3,138% gain within 24 hours, $15.27 million in first-day…

CryptoMomentumVolatilityMarket microstructure
OKX Learn

The document explains XRP’s intended role as a bridge asset for cross-border payments and contrasts its fast, low-cost settlement with conventional payment rails. It describes Ripple’s payment infrastructure, legal developments involving the SEC, and…

CryptoSentimentRisk managementVolatility
OKX Learn

The document presents TRUMP Coin as a politically associated crypto asset shaped by speculative trading, high reported volume, and concentrated ownership. It attributes price volatility to limited utility, speculation, and the possibility that concentrated…

CryptoVolatilityRisk managementTechnical indicators
OKX Learn

This overview traces the name Floki from Viking history and television into the FLOKI token, whose launch drew attention from an online meme and celebrity association. It describes the project’s stated expansion beyond meme status into DeFi, NFTs, a…

CryptoDeFiVolatilityRisk management
OKX Learn

This market commentary tracks how escalating conflict involving the United States, Israel, and Iran coincided with sharp moves in bitcoin and ether and their options markets. It reports bitcoin falling below $100,000, a jump in near-term implied volatility,…

CryptoOptionsVolatilityEvent-driven
OKX Learn

The document surveys HYPE as a utility and governance token in the Hyperliquid ecosystem. It describes a volume-weighted average price approach that combines trading data from multiple venues, and mentions decentralized exchange activity, market…

CryptoDeFiSpot marketsVolatility
OKX Learn

This guide surveys Dogecoin’s origins, proof-of-work network, inflationary supply, transaction use cases, and ecosystem. It notes Dogecoin’s one-minute block time, ongoing issuance, community-led tipping, charitable activity, and some merchant acceptance.…

CryptoSpot marketsRisk managementPosition sizing
OKX Learn

The document discusses WLFI’s buyback and burn activity alongside reported whale influence on WLFI and XPL trading. It frames supply reduction as a tokenomics choice that may affect perceived scarcity, while noting that its market impact and effect on…

CryptoOn-chain dataPerpetual futuresVolatility
OKX Learn

The document examines Fartcoin’s reported rally and discusses possible influences on its price, including speculative interest, broader pro-crypto sentiment, and viral humor-based branding. It describes the token’s value as community driven rather than…

CryptoTechnical indicatorsSentimentVolatility
OKX Learn

The document surveys meme tokens as crypto assets that grew from humorous internet references into projects that sometimes claim practical uses. It points to AI analytics and a traffic safety rewards project as examples, and describes social media, community…

CryptoSentimentVolatilityRisk management
OKX Learn

The document surveys practical tools for managing crypto trades in volatile markets. It explains that a volatility ratio is intended to characterize price fluctuation, while multiple synchronized charts can help traders compare timeframes and indicators. A…

CryptoVolatilityRisk managementTechnical indicators