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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

4,510 documents

FMZ digest

The document describes a pipeline that turns a financial influencer’s posts into trading signals for Binance stock perpetual contracts. It proposes collecting posts through an RSS feed, asking an LLM to identify explicitly named tickers, direction,…

EquitiesSentimentMachine learningPerpetual futures
FMZ digest

The document describes a workflow for trading newly listed crypto perpetual futures. It separates slower analysis from rapid launch monitoring: an analysis process tracks exchange announcements, gathers token fundamentals, news, and cross-exchange market…

CryptoPerpetual futuresEvent-drivenSentiment
FMZ digest

The document outlines an automated workflow for combining cryptocurrency market data and news into recurring trading reports. It collects candlesticks across 15-minute, hourly, and daily intervals, standardizes and merges them, and retrieves recent articles…

CryptoSentimentTechnical indicatorsExecution
FMZ digest

This experimental crypto strategy combines short- and long-period exponential moving average crossovers with sentiment analysis of recent RSS news. It filters headlines to a recent time window, packages news, crossover direction, and current position…

CryptoTrend followingTechnical indicatorsSentiment
FMZ digest

This article presents an automated strategy for binary event contracts on Polymarket. A scheduled workflow first filters markets by liquidity, activity, spread, and price range, then examines hourly candles for patterns such as gradual price advances, rising…

CryptoMachine learningSentimentEvent-driven
FMZ digest

This guide describes a proposed spot crypto trading workflow in which an AI agent gathers price, volume, and news data, forms a buy, sell, or hold decision, and sends a structured signal to a separate execution platform. The execution service listens for…

CryptoSpot marketsMachine learningSentiment
FMZ digest

The document introduces FMZ’s visual workflow system as a way to connect market data, analysis, signal generation, risk controls, and order execution. It describes a modular approach in which users combine prebuilt nodes, external data requests, AI analysis,…

ExecutionBacktestingSentimentMachine learning
FMZ digest

The article describes a prototype that converts crypto traders’ stated approaches into a layered signal process. It first represents market conditions with price trend and momentum indicators, volatility, recent highs and lows, and macro variables such as…

CryptoTechnical indicatorsMomentumBreakout
FMZ digest

The article proposes assigning trading tasks to tools suited to their uncertainty and computational cost. Deterministic checks, such as moving-average signals, position limits, and stop losses, are presented as fast and repeatable rules. Language models are…

Machine learningTechnical indicatorsRisk managementBacktesting
FMZ digest

This experimental strategy combines a short- and long-period EMA crossover with sentiment analysis of recent cryptocurrency news. It collects RSS items from multiple sources, filters and orders them by recency, and sends the technical signal, news, and…

CryptoTrend followingMachine learningSentiment
Deribit Insights

This market commentary interprets reported Bitcoin options activity across several expiries and strike ranges. It describes aggressive call selling early in the week, followed by put purchases as the underlying fell through a cited price level. Some put…

OptionsCryptoVolatilityMarket microstructure
Deribit Insights

This weekly analytics recap tracks sentiment in BTC and ETH through perpetual funding, futures yields, options volatility, and volatility smile skew. It characterizes both assets as broadly bullish: perpetual funding remained positive, implied futures yields…

CryptoFuturesOptionsVolatility
Deribit Insights

This market recap interprets BTC and ETH derivatives positioning around a hotter-than-expected CPI release and ongoing regulatory concerns. Although the initial price dip was quickly bought and prices remained near pre-release levels, block sellers of…

CryptoOptionsVolatilitySentiment
Deribit Insights

This brief options-flow note describes traders concentrating on Bitcoin puts amid rising implied volatility. It highlights a large in-the-money put sale at the June and July $25,000 strikes that did not slow the volatility increase, alongside a trader who…

CryptoOptionsVolatilitySentiment
Deribit Insights

This podcast synopsis outlines a discussion of Bitcoin’s relative stability during a period of geopolitical tension and a quiet summer market. The hosts connect the market backdrop to low inflation and ongoing ETF inflows, and consider whether traders are…

CryptoOptionsVolatilitySentiment
Deribit Insights

This weekly report compares BTC and ETH market signals using perpetual swap funding, futures implied yields, options volatility, and put-call skew. It describes a brief rise in ETH funding after Ether reclaimed $3,000, alongside futures pricing that…

CryptoOptionsFuturesVolatility
Deribit Insights

This weekly market commentary describes how options positioning and volatility changed as Ether approached $2,000 ahead of the planned Merge. It links reduced uncertainty after the Goerli Merge to volatility selling across the curve, while noting that some…

CryptoOptionsVolatilitySentiment
Deribit Insights

This weekly market note describes crypto options positioning after global tensions eased and risk assets rallied. It reports that Bitcoin rebounded from the lows, prompting traders to unwind protective puts below $60,000 in April and May expiries. Call…

CryptoOptionsVolatilitySentiment
Deribit Insights

This weekly report examines how BTC and ETH derivatives pricing responded to macroeconomic and sector-specific uncertainty. It describes BTC consolidating after an earlier rise, alongside multiple days of spot ETF inflows, while options markets continued to…

CryptoOptionsVolatilitySentiment
Deribit Insights

This market note reviews Bitcoin and Ether option activity during a rally linked to corporate Bitcoin purchases and positive ETF flows. It describes call spread buying across April and further upside call buying in later expiries, alongside call selling as…

CryptoOptionsVolatilitySentiment
Deribit Insights

The report surveys BTC and ETH options positioning amid fading macro optimism, a hawkish Federal Reserve stance, and crypto-specific weakness. It says realized volatility fell toward implied volatility, while implied volatility remained below realized…

CryptoOptionsVolatilitySentiment
Deribit Insights

This market recap describes how stress around stablecoins and bank failures affected BTC and ETH options. Implied volatility rose across expiries, and the term structure turned sharply backwardated, with near-dated options carrying higher volatility than…

CryptoOptionsVolatilitySentiment