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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
Quantpedia
86 documents
TqSdk
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

19,452 documents

Quant Q&A

The document raises practical questions for researching and backtesting crypto or forex strategies when exchange pairs use different quote currencies. It asks how to value holdings in a common currency, such as USD, whether to use a direct market or a chain…

CryptoForexBacktestingPortfolio construction
Quant Q&A

The document asks how to interpret the Kraken XBT-USD order book when estimating how many price levels are needed to trade a specified amount. It distinguishes asks from bids, asks which currency the displayed volume uses, and raises the problem of trading…

CryptoExecutionMarket microstructureStatistics
Quant Q&A

The document raises two modeling issues when applying stochastic quanto pricing formulas to crypto futures and perpetual swaps. First, it questions what domestic discount rate to use when the contract is settled in bitcoin, given the absence of a…

CryptoFuturesPerpetual futuresDerivatives pricing
Quant Q&A

The note surveys several forms of arbitrage and relative-value trading rather than developing one strategy in depth. Examples include capital-structure and convertible-bond trades, merger and latency arbitrage, ETF and index arbitrage, and relative-value…

ArbitrageFuturesCryptoEquities
Quant Q&A

The document describes a thesis design for testing cross-sectional momentum in cryptocurrencies. Each week, coins are ranked by their past value-weighted log returns over several lookback windows, then divided into five equal-weighted portfolios. The…

CryptoMomentumFactor investingPortfolio construction
Quant Q&A

The discussion examines how to estimate a cryptocurrency yield curve when perpetual futures are the only obvious derivatives market. One answer emphasizes that a curve describes rates across maturities at a point in time; forecasting future funding rates is…

CryptoPerpetual futuresDerivatives pricingDeFi
Quant Q&A

The document considers whether a holder of bitcoin can mimic put-option protection by shorting CME bitcoin futures above a chosen price and returning to a neutral position when the price crosses that threshold. The motivation is concern that a rising market…

CryptoFuturesOptionsDerivatives pricing
Quant Q&A

The document clarifies the distinction between daily futures accounting and final settlement. Futures are settled at expiry, while their positions are marked to market each day. The daily mark to market changes the balance in the trader’s margin account,…

FuturesCryptoDerivatives pricingRisk management
Quant Q&A

The document challenges a claim that a high-frequency trading bot can detect a large cryptocurrency order, infer its hidden maximum price, buy available coins first, and resell them at that limit. The answers explain that a marketable order generally…

CryptoHigh-frequency tradingMarket microstructureExecution
Quant Q&A

The document compares price alignment in loosely connected cryptocurrency exchanges with currency markets. In crypto, a trader may buy where an asset is cheaper, transfer it, and sell at a higher-priced venue; delays and limited coin availability can widen…

ForexCryptoArbitrageMarket microstructure
Quant Q&A

The document considers whether a technical trading rule for cryptocurrency can be assessed with receiver operating characteristic analysis. The proposed labeling marks a buy signal as correct when the underlying asset has a positive return that day and…

CryptoTechnical indicatorsBacktestingStatistics
Quant Q&A

This discussion asks whether a crypto strategy’s statistically significant intercept from a regression on established equity factors provides a fair measure of skill. It frames the issue as benchmark choice: an alpha is measured relative to the factors…

CryptoFactor investingStatistics
Quant Q&A

The discussion asks how to choose the number of historical candles used to estimate a spread z-score in a crypto perpetual swap pairs strategy. The question notes that different pairs appear to perform best with different window lengths in both backtests and…

CryptoPairs tradingPerpetual futuresBacktesting
Quant Q&A

The document asks how to preserve fair ownership shares when several people jointly hold an asset whose value changes over time. It illustrates an initial pool funded by three contributors, followed by appreciation and a later cash contribution from one…

CryptoPortfolio constructionRisk management
Quant Q&A

The example explains how a marketable limit buy interacts with resting asks at different prices. A buy limit specifies the maximum price the buyer will pay per unit, while matching proceeds against available sell orders from the lowest price upward. The…

Market microstructureExecutionCrypto
Quant Q&A

The document raises a data-quality question about using hourly OHLC prices for a cryptocurrency in strategy research. Its supplied dataset carries more decimal places than the values displayed by a chart, and the author asks whether to round the historical…

CryptoBacktestingExecution
Quant Q&A

The document asks how traders might infer very short-term price direction from a cryptocurrency limit order book. It describes a trader who takes long or short positions over horizons ranging from seconds to a few minutes, apparently using visible order book…

CryptoHigh-frequency tradingMarket microstructure
Quant Q&A

The document describes an attempt to fit hourly Bitcoin returns with asymmetric GARCH-family models. The reported fit has a portmanteau statistic of 198.4 and an estimated first ARCH and GARCH coefficient sum above one, raising concern about volatility…

CryptoVolatilityStatistics
Quant Q&A

The document explains how leveraged futures positions are closed when a trader’s margin cannot cover the losses, focusing on the difference between broker-backed conventional markets and crypto exchanges with limited-liability accounts. It uses a…

FuturesCryptoPerpetual futuresMarket microstructure
Quant Q&A

The document surveys algorithmic trading platforms and tools, including hosted research environments, open-source backtesting engines, and locally assembled development stacks. It describes Quantopian and Zipline as Python-centered research and backtesting…

BacktestingExecutionMulti-assetCrypto
Quant Q&A

The document asks how a market maker might hedge a short position in down-and-in Bitcoin puts. Its answer contrasts these barrier options with vanilla puts and gives two possible risk-management actions: use Bitcoin-dollar perpetual swaps or dated futures to…

CryptoOptionsFuturesPerpetual futures
Quant Q&A

The document considers whether adding Bitcoin to a stock-market proxy improves a CAPM test. The questioner reports applying a GRS test to ten industry portfolios and finding jointly significant alphas with a stock-based market proxy. Adding Bitcoin at a 2.1%…

CryptoFactor investingStatisticsBacktesting
Quant Q&A

The document investigates why several Python implementations of the Schaff Trend Cycle (STC) produce values that differ from a TradingView chart for a BTC/USDT example. It lists library calls and a custom implementation built from MACD, stochastic…

Technical indicatorsCryptoStatistics
Quant Q&A

The document considers how to estimate when displayed ask depth will be exhausted so a trader can place a bid at the previous ask during an upward price move. The setting is a continuous double auction on a bitcoin futures exchange. A basic regression over…

Market makingFuturesCryptoExecution