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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

1,747 documents

Quant Q&A

The document contrasts the complexity of SPAN, which handles portfolios of options and futures with changing prices and volatility, with the simpler problem of setting margin for a standalone futures position. For that case, it proposes estimating Bitcoin’s…

Perpetual futuresRisk managementVolatility
Quant Q&A

This document explains how observed trade direction can help estimate a price series less affected by bid–ask bounce. With taker buy and sell signs available, it proposes regressing price changes on changes in trade signs to estimate an effective…

CryptoMarket microstructureExecutionStatistics
Quant Q&A

The answer explains leverage in a crypto perpetual contract as a trader posting margin to support a larger notional position. A trader who shorts one contract at a stated price posts half the contract value for 2x leverage, while a counterparty takes the…

CryptoPerpetual futuresDerivatives pricingRisk management
Quant Q&A

This discussion examines whether the funding payment on a crypto perpetual futures contract creates a price move that can be arbitraged. The question compares funding with a dividend: if longs pay shorts at a funding timestamp, a trader might short just…

CryptoPerpetual futuresArbitrageExecution
Bitget Academy

The guide describes Bitget’s Model Context Protocol server as a connection between compatible AI agents and exchange tools. It outlines access to spot and futures market data, order books, candlesticks, funding rates, account information, position…

CryptoSpot marketsPerpetual futuresExecution
Bitget Academy

The document explains why order-book depth close to the mid-price can matter to intraday and high-frequency strategies with small per-trade targets. It focuses on the amount of resting liquidity within five basis points of mid, arguing that thin near-price…

Market microstructureExecutionHigh-frequency tradingPerpetual futures
Bitget Academy

The document explains Bitget’s H100USDT and B200USDT perpetual contracts, which provide financial exposure to indexed rental prices for NVIDIA H100 and B200 compute capacity. Positions are settled in USDT; traders can go long or short without buying GPUs or…

CryptoPerpetual futuresDerivatives pricingRisk management
Bitget Academy

The document explains how USDT-margined perpetual futures provide leveraged exposure to gold, silver, and PAXG without owning physical metals. It outlines account funding and transfer steps, contract selection, margin modes, order types, long and short…

FuturesCommoditiesPerpetual futuresRisk management
OKX Learn

The article compares Hyperliquid, Lighter, and Aster amid reported growth in decentralized perpetual trading. It highlights trading volume, market share, open interest, and open-interest-to-volume ratios as ways to assess platform position and the character…

CryptoPerpetual futuresMarket microstructureDeFi
OKX Learn

The document describes a large trader on Hyperliquid who reportedly built leveraged short positions after profiting during a market decline. It discusses the scale and leverage of those positions, similar bearish bets by other accounts, and the resulting…

CryptoPerpetual futuresOn-chain dataTechnical indicators
OKX Learn

The document outlines real-world asset index perpetual contracts that provide exposure to tokenized equities such as Tesla and Nvidia. It describes using an index assembled from multiple issuers, with weights adjusted for factors such as trading volume and…

CryptoEquitiesPerpetual futuresDerivatives pricing
OKX Learn

The article uses an XPL incident on Hyperliquid to discuss how leverage, visible market information, low liquidity, and liquidation mechanics can interact. It says an attacker used information about liquidation levels and the platform’s liquidation process…

CryptoPerpetual futuresMarket microstructureRisk management
OKX Learn

The article describes a Bitcoin and Ethereum trader reported to have opened large leveraged short positions ahead of a market decline associated with a tariff announcement. It says blockchain analytics attributed nearly $100 million in total profits to the…

CryptoPerpetual futuresSentimentRisk management
OKX Learn

The article surveys dYdX’s evolution from an Ethereum Layer 2 using StarkWare’s StarkEx to a standalone Layer 1 built with the Cosmos SDK and CometBFT. It notes the chain’s launch and migration from the ERC-20 ethDYDX token to native DYDX, describing…

CryptoDeFiPerpetual futuresMarket microstructure
OKX Learn

The document introduces Hyperliquid as a decentralized exchange built on its own Layer-1 blockchain, with on-chain order books and a focus on perpetual futures. It describes HyperBFT as the consensus mechanism and HyperEVM as a route to Ethereum application…

CryptoPerpetual futuresDeFiOn-chain data
OKX Learn

The document describes Aster’s reported growth through user acquisition, trading volume, total value locked, and fee revenue, then outlines mechanisms intended to attract activity. These include points for trading, rewards for referrals, and yield-bearing…

CryptoDeFiPerpetual futuresArbitrage
OKX Learn

The article discusses how large positions on Hyperliquid, a decentralized perpetual exchange, may influence trader sentiment. Its central example is a reported Ethereum short position valued at $9.9 million and opened with 25x leverage. It connects this…

CryptoPerpetual futuresOn-chain dataSentiment
OKX Learn

The document explains protocol revenue as income generated through fees and token mechanisms, then uses Hyperliquid as an example of a decentralized perpetuals exchange. It attributes the platform’s operating model to an on-chain order book, a small…

CryptoDeFiPerpetual futuresMarket microstructure
OKX Learn

The document compares OKX’s X-Perps with standard perpetual futures. X-Perps reference a multi-venue crypto index, charge or credit funding at eight-hour intervals, and have a fixed settlement date five years after issuance. They permit long and short…

CryptoPerpetual futuresDerivatives pricingRisk management
OKX Learn

The article discusses ASTER’s price rise alongside the reported growth of Aster’s decentralized exchange, which offers spot and perpetual trading. It points to trading activity, liquidity, total value locked, and public endorsements as possible drivers of…

CryptoPerpetual futuresSpot marketsTechnical indicators
OKX Learn

The article uses several Hyperliquid trader examples to illustrate how leverage can magnify both gains and losses. It describes a Bitcoin position liquidated after using 40x leverage, contrasts that with a reported winning streak and profits from a more…

CryptoPerpetual futuresRisk managementOn-chain data
OKX Learn

The document explains crypto expiry futures as derivative contracts with a fixed settlement date and contrasts them with perpetual swaps, which have no expiry and can incur periodic funding fees. It describes expiry futures as potentially useful for…

CryptoFuturesPerpetual futuresRisk management
OKX Learn

The guide explains how long and short derivative positions respond to price movements. A long gains when the underlying price rises, while a short gains when it falls; the short can also hedge an existing spot holding. It contrasts these positions with spot…

CryptoPerpetual futuresDerivatives pricingRisk management
OKX Learn

The document discusses reported leveraged positions and accumulation among Bitcoin and Ethereum whales, using wallet counts, large long positions, price moves, and exchange leverage estimates as evidence of changing market participation. It also describes…

CryptoMomentumTechnical indicatorsOptions