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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

610 documents

pysystemtrade

This configuration describes a multi-asset systematic trading framework that combines rules for breakouts, relative and absolute momentum, moving-average trends, carry, acceleration, and skew-related factors. The rules use multiple horizons and include…

Multi-assetTrend followingMomentumCarry
BigQuant

This study examines whether futures-curve shape can rank commodity markets. It explains backwardation, where deferred contracts are cheaper than nearer ones, and contango, where they are more expensive. The article connects these patterns to supply, demand,…

CommoditiesFuturesCarryFactor investing
BigQuant

This literature summary reports research on investment strategies in Chinese commodity futures and notes that long-only approaches produced limited economic returns. Among twelve long-short strategies examined, momentum and term-structure strategies showed…

FuturesCommoditiesMomentumCarry
Awesome Systematic Trading

The code describes a currency carry strategy that compares the US three-month Treasury rate with the average forward discount of a basket of developed-market currencies. The basket uses equal weights, and the comments say that an average three-month interest…

ForexFuturesCarryBacktesting
pysystemtrade

This Python module defines four types of trading forecasts from price or carry series. Its breakout rule locates the rolling high-low range, measures the current price relative to the range midpoint, scales that reading, and smooths it with an exponentially…

BreakoutCarryMean reversionTechnical indicators
BigQuant

This Chinese-language research digest summarizes two topics. The first concerns systematic style investing in fixed income: it reports that value, momentum, carry, and defensive premia have shown notable results in both government and corporate bonds,…

Fixed incomeFactor investingMomentumCarry
Amberdata research

The article explains how periodic funding payments in perpetual swaps help keep contract prices near spot prices. When funding is positive, longs pay shorts; when negative, shorts pay longs. These payments affect the net cost of holding a position and can…

CryptoPerpetual futuresCarryArbitrage
Kraken Learn

This guide compares staking, where crypto is committed to help secure a blockchain in return for rewards, with yield farming, where assets are deployed through decentralized finance protocols or liquidity pools. It contrasts the approaches across potential…

CryptoDeFiRisk managementCarry
MQL5 code base

The document describes prerequisites for running an automated strategy that seeks positions earning positive swaps while also trading according to its own strategy. It says the approach needs substantial account capital and free margin, because swap-oriented…

ForexCarryExecutionRisk management
Amberdata research

The document examines 2025 spot Bitcoin ETF flows and stablecoin supply as measures of institutional positioning and potential crypto market liquidity. It reports cumulative ETF inflows and accumulation, the distribution of flows across issuers and market…

CryptoArbitrageCarrySpot markets
FMZ live strategies

This live-robot snapshot scans perpetual futures across Binance, GateIO, and OKX for differences in funding rates. It pairs a short position on the venue with the higher funding rate and a long position on the venue with the lower rate, then reports…

CryptoFuturesArbitrageCarry
Amberdata research

This market commentary reviews early 2025 conditions across Bitcoin, Ethereum, and Solana. It links macro events and labor data to volatility expectations, and describes Bitcoin positioning around the $100,000 strike, including dealer short gamma and demand…

CryptoOptionsFuturesCarry
Amberdata research

The document explains a cash-and-carry strategy: buy spot and short futures when futures trade above spot, then seek to earn the premium as prices converge. It discusses how basis varies by contract tenor and compares the estimated return with Treasury bill…

CryptoFuturesCarryArbitrage
BigQuant

This study examines value, momentum, carry, and defensive factor returns across six asset classes using data spanning roughly a century. It compares each factor’s discovery period with earlier and later periods, using the long history and cross-asset…

Factor investingMulti-assetMomentumCarry
Amberdata research

This market recap interprets Bitcoin and Ether options during a sharp sell-off and liquidation episode. It compares realized and implied volatility, put and call skew across expiries, carry, and the volatility spread between the two assets. The commentary…

CryptoOptionsVolatilityCarry
Amberdata research

This article explains Ethereum proof-of-stake and liquid staking tokens (LSTs), which let holders delegate ETH to a protocol and receive a token representing their staked position. That token can be used in DeFi, such as as lending collateral, improving…

CryptoDeFiFuturesCarry
FMZ live strategies

This live dashboard describes a Web3 yield scanner that periodically reports lending and borrowing rates across Aave V3 assets and chains, estimated returns from looping deposits and borrowing subject to loan-to-value limits, fixed yields in Pendle markets,…

CryptoDeFiCarryOn-chain data
Amberdata research

This overview explains how Ethereum liquid staking converts staked ETH into a tradable or lendable liquid staking token. A staking provider holds or routes the ETH for validation, while the token represents the staked position and allows the holder to use it…

CryptoDeFiSpot marketsCarry
Amberdata research

This market recap reviews Bitcoin and Ethereum options after an upside move. It reports rising realized volatility in both assets, with implied volatility lagging, and negative carry. The author links the demand for volatility to price moves exceeding…

CryptoOptionsVolatilityCarry
pysystemtrade

This document describes a raw-data stage in a futures trading system that prepares reusable price and carry calculations for later forecasting. It retrieves daily, natural-frequency, and hourly prices; computes absolute daily and hourly price changes; and…

FuturesVolatilityCarryStatistics
Quant Q&A

The document asks how to separate expected returns from carry and from spread changes when estimating sovereign bond returns over a year. The response distinguishes holding a bond and earning its yield from the return associated with its market spread, but…

Fixed incomeCarry
Quant Q&A

For goods that have not yet been produced, futures pricing may depend on expected future supply and demand as well as carrying costs. The simple spot-plus-carry relationship applies most directly when the commodity can be stored and delivered, and does not…

FuturesCommoditiesCarryDerivatives pricing
Quant Q&A

The note explains why the implied repo rate for a cash-and-carry bond futures trade uses a denominator adjusted for coupon timing. The initial financing requirement is the bond’s dirty price, but an interim coupon can be used to pay down the repo borrowing…

Fixed incomeFuturesCarry
Quant Q&A

The discussion compares two ways to value a bond for a future date: projecting a spot bond price using financing carry, or discounting its cash flows to obtain a price settled on that date. In theory, the approaches should agree when their financing…

Fixed incomeFuturesCarryRisk management