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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

FMZ digest

The document presents a framework for assessing Bitcoin’s market cycle by combining macroeconomic measures, capital flows, exchange activity, derivatives positioning, and on-chain indicators. Examples include central-bank money supply, Bitcoin ETF and…

CryptoOn-chain dataSentimentPerpetual futures
FMZ digest

This article introduces features of the FMZ trading terminal for managing exchange accounts, trading pairs, and reusable screen layouts. It describes grouping exchange and symbol configurations, arranging market data and account modules, using plug-ins, and…

CryptoArbitragePerpetual futuresExecution
FMZ digest

This article describes a monitoring system that compares order book prices across decentralized and centralized crypto exchanges. It groups configured exchanges by type, maps symbols that differ between venues, retrieves market precision, and requests depth…

CryptoArbitrageMarket microstructureExecution
FMZ digest

This article describes an event-driven strategy for Binance USDT perpetual contracts marked for delisting. It monitors the exchange’s contract information for a delivery-date change, then opens a short base position and deploys a short grid intended to…

CryptoPerpetual futuresGrid tradingEvent-driven
FMZ digest

The article presents a Python workflow for collecting perpetual-futures candlesticks, simulating a grid strategy, and examining how its parameters affect results. The grid logic buys after price falls below a calculated level and sells after it rises above…

CryptoPerpetual futuresGrid tradingBacktesting
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

This installment describes a two-part order synchronization design for futures accounts. A reusable library embedded in a strategy monitors changes in the reference account’s long and short positions. It calculates the change from an initial position…

FuturesExecutionPosition sizingPerpetual 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 explains how perpetual futures funding payments help keep contract prices near spot prices, then describes a market-neutral carry trade: short a perpetual contract and buy the same asset in spot to collect positive funding. It outlines screening…

CryptoArbitrageCarryPerpetual futures
FMZ digest

This document explains a trend-following strategy based on an upgraded Keltner Channel. The channel uses the average of high, low, and close as its input, an exponential moving average as its center line, and average true range to set the upper and lower…

Technical indicatorsTrend followingBreakoutVolatility
FMZ digest

This document describes a cryptocurrency strategy that shorts currency-margined perpetual contracts to seek funding payments. It explains that these contracts are denominated in fixed-value units and that, in the author’s example, the coin balance changes…

CryptoFuturesArbitrageCarry
FMZ digest

This article examines a proposed strategy that takes opposing BTC and ETH perpetual positions based on their relative moves. It explains why equal contract counts do not create a balanced hedge, then describes estimating ETH’s return beta against BTC,…

CryptoPairs tradingStatisticsPerpetual futures
FMZ digest

The article studies whether a predictable change in the displayed 24-hour return can influence later prices. As older price moves leave the rolling window, the displayed return changes mechanically even if the current price stays flat. The proposed signal…

CryptoFuturesPerpetual futuresStatistics
FMZ digest

The document explains a workflow for sizing futures orders from a percentage of available account balance, then attaching conditional take-profit and stop-loss orders after an entry fills. Its quantity method converts the chosen balance allocation into coin…

FuturesPerpetual futuresPosition sizingRisk management
FMZ digest

This hands-on guide describes connecting FMZ to Vertex, a decentralized exchange with spot and perpetual markets. It explains wallet and subaccount configuration, the use of a wallet or delegated signing key, and the need to account for USDC costs on…

CryptoDeFiPerpetual futuresSpot markets
FMZ digest

The author describes a high-frequency strategy traded on a newly listed crypto perpetual contract during a period of heavy volume, sharp price swings, and large differences between futures and spot prices. The account reportedly grew from 100 USDT to 8,800…

CryptoPerpetual futuresHigh-frequency tradingMarket making
FMZ digest

This research explores two approaches to trading baskets of Binance perpetual contracts. The first shorts a selected group of altcoins while holding a similarly valued Bitcoin position, aiming to reduce exposure to broad market moves. The second compares…

CryptoFuturesPerpetual futuresPairs trading
FMZ digest

This article presents prompt design as one part of building an AI-assisted trading system. It argues that instructions should provide current market and account context, specify the desired decision format, and define the model’s role and risk constraints.…

CryptoMachine learningRisk managementPosition sizing
FMZ digest

This overview sketches several automated crypto strategies. Its main examples are funding-rate arbitrage, which pairs a short perpetual futures position with a spot long to seek funding income, and spot grid trading, which places paired buy and sell levels…

CryptoPerpetual futuresArbitrageGrid trading
FMZ digest

This beginner-oriented article outlines a cross-sectional factor research workflow using hourly Binance USDT perpetual futures data. It describes collecting price, volume, trade-count, and taker-buy information across many contracts, then forming candidate…

CryptoPerpetual futuresFactor investingStatistics
FMZ digest

The article translates a three-part investing framework—cash flow, core assets, and alpha—into a rules-based crypto system. It assigns a reserve floor to protect a cash buffer, dollar-cost averaging (DCA) to accumulate core holdings without selling, and a…

CryptoPerpetual futuresTrend followingBacktesting
FMZ digest

This article presents a rolling framework for selecting crypto perpetual contracts and assigning each selected token its own dual moving average parameters. It first takes the highest-volume USDT perpetual symbols, then backtests multiple fast and slow…

CryptoPerpetual futuresTrend followingTechnical indicators
FMZ digest

The article outlines a crypto perpetual-futures strategy that combines short-term trend detection with market making. It first evaluates recent trade flow, order size and frequency, spread, and average transaction prices, then uses order-book depth to choose…

CryptoHigh-frequency tradingMarket makingMarket microstructure
FMZ digest

This article outlines a workflow for finding and trading funding-rate differences between perpetual futures on multiple crypto exchanges. It explains the basic hedge: short where the funding rate is higher and go long where it is lower, aiming to collect the…

CryptoPerpetual futuresArbitrageStatistics