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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

1,747 documents

FMZ digest

This programming guide presents two market-monitoring examples. The first collects spot prices across Binance trading pairs, stores observations in a rolling window, computes percentage changes, sorts the pairs, and displays the strongest movers. It notes…

CryptoFuturesPerpetual futuresMarket microstructure
FMZ digest

The document explains a perpetual futures balance strategy that maintains a target position value by selling after price rises and buying after declines. Its adjustment ratio determines how much the position changes for a given price move. The author…

CryptoPerpetual futuresGrid tradingBacktesting
FMZ digest

This tutorial outlines a simple martingale-style strategy for cryptocurrency perpetual futures. It places long and short entry orders around the current price, cancels the remaining order after one fills, then sets a closing order relative to the open…

CryptoFuturesPerpetual futuresGrid trading
FMZ digest

This document outlines an automated research and execution workflow for mining factors across liquid crypto perpetual contracts. At scheduled intervals, it selects markets by trading volume, classifies volatility conditions, reviews the health and coverage…

CryptoPerpetual futuresFactor investingMachine learning
FMZ digest

This tutorial introduces cross-period hedging by pairing a long position in one futures contract with a short position in another. It derives how the combined result depends on the spread changing between entry and exit, then notes that fees and slippage…

CryptoFuturesPerpetual futuresArbitrage
FMZ digest

The document describes routing TradingView strategy alerts into an FMZ strategy through its built-in HTTP service. It outlines an approach using an expected signal message format, IP allowlisting and password checks, then validating fields such as exchange…

CryptoExecutionPerpetual futuresSpot markets
FMZ digest

The document describes a percentage-based grid strategy for a volatile Pre-IPO derivative. It divides a price range into levels, placing buys below and sells above, and proposes moving the range after a breakout. The described implementation can trade long,…

CryptoGrid tradingVolatilityPerpetual futures
FMZ digest

The document describes a multi-stage system for using a language model to trade cryptocurrency perpetual futures. Its workflow periodically gathers account and position information, retrieves short- and longer-timeframe market data, calculates indicators…

CryptoPerpetual futuresMachine learningTechnical indicators
FMZ digest

The guide outlines Vertex’s hybrid exchange design and describes how a trader can connect a wallet, configure an account, and access perpetual and spot markets through FMZ. It explains unified liquidity across supported chains, off-chain order matching with…

CryptoPerpetual futuresSpot marketsDeFi
FMZ digest

The article explains how a rolling 24-hour return changes mechanically as prices from the prior day leave its calculation window. It proposes estimating that change over the next five and thirty minutes while holding the current price constant. The…

CryptoPerpetual futuresStatisticsExecution
Deribit Insights

This weekly review examines BTC and ETH derivatives during a second sharp rise in spot prices. Short-dated ETH futures yields moved above zero, joining BTC, while positive BTC perpetual funding and stronger ETH funding indicated demand for long exposure.…

CryptoFuturesOptionsVolatility
Deribit Insights

This weekly market review tracks BTC and ETH futures yields, perpetual swap funding, implied volatility, and options skew during a period of weaker spot prices and reduced leverage. Short-dated futures yields fell, especially for BTC, while ETH yields…

CryptoFuturesOptionsVolatility
Deribit Insights

This weekly snapshot reviews BTC and ETH futures, perpetual swap funding, options volatility, and volatility smiles after the spot BTC ETF announcement. It reports that implied volatility declined as event risk eased, while the earlier inversion in the…

CryptoFuturesOptionsVolatility
Deribit Insights

This analysis investigates a sharp weekend crypto sell-off by comparing price moves with large on-chain transfers, cross-asset correlation, network activity, and derivatives volume. Bitcoin fell rapidly and Ether fell further, while prices recovered soon…

CryptoOn-chain dataPerpetual futuresMarket microstructure
Deribit Insights

This weekly market recap reviews BTC and ETH futures, perpetual swap funding, and options conditions. It reports that annualized futures yields had fallen to just below 10% and that BTC and ETH yields were at similar levels, a convergence not seen since…

CryptoOptionsFuturesVolatility
Deribit Insights

This weekly market note reviews BTC and ETH futures, perpetual swap funding, and options volatility. It reports subdued annualized futures yields for both assets and a modest return to positive funding, suggesting renewed demand for long exposure while…

CryptoFuturesOptionsVolatility
Deribit Insights

This weekly market report reviews Bitcoin and Ether derivatives after a brief risk-off episode associated with a public dispute between political and technology figures. It describes a shift in short-dated options skew toward out-of-the-money puts during the…

CryptoOptionsFuturesPerpetual futures
Deribit Insights

This weekly market report describes Bitcoin and Ether derivatives while both spot prices were near recent range highs. It notes broadly sideways implied volatility, while short-dated option skew became less bearish as implied volatility on out-of-the-money…

CryptoOptionsFuturesPerpetual futures
Deribit Insights

This weekly report reviews Bitcoin and Ether derivatives after Bitcoin’s spot price slowed following a reported all-time high. It describes a shift in short-dated option skew toward out-of-the-money puts, a return of Bitcoin’s futures curve from inversion to…

CryptoOptionsFuturesPerpetual futures
Deribit Insights

This weekly market note compares Bitcoin and Ethereum derivatives through futures-implied yields, perpetual swap funding rates, at-the-money implied volatility, volatility surfaces, and 25-delta put-call skew. It reports that annualized futures yields remain…

CryptoFuturesOptionsVolatility
Deribit Insights

This announcement describes a set of Into The Block indicators made available through a crypto exchange's BTC and ETH market data pages. The listed measures cover futures and perpetual turnover and funding rates, volatility, blockchain addresses, ownership,…

CryptoOn-chain dataMachine learningStatistics