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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
WonderTrader
14 documents
Alphalens
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

3,101 documents

FMZ live strategies

This live-trading dashboard describes a Gate.io spot triangular arbitrage operation using BTC, ETH, and USDC pairs. Trade logs show the bot routing through USDT, executing three-leg hedged trades when quoted prices imply a small spread, and recording…

CryptoArbitrageExecutionRisk management
Freqtrade

This Freqtrade strategy is designed for spot cryptocurrency trading on five-minute candles. It defines parameterized entry and exit rules using comparisons between recent closing prices and closes from earlier bars, with separate adjustable parameters for…

CryptoSpot marketsMomentumBacktesting
Amberdata research

This market snapshot reviews crypto developments around May 2024, combining regulatory news with observations on spot trading, decentralized exchanges, lending protocols, and blockchain fees. It describes US legislative and regulatory actions affecting…

CryptoDeFiSpot marketsMarket microstructure
Hyperliquid docs

The document explains the role of Hyperliquid’s clearinghouses in managing account state. The perpetuals clearinghouse tracks each address’s margin balance and positions, while the spot clearinghouse tracks token balances and holds. These components form…

CryptoPerpetual futuresSpot marketsRisk management
Cryptohopper blog

The document reports a record 30-day net outflow from US spot Bitcoin ETFs, alongside a substantial decline in Bitcoin’s price. It places the flows in the context of several consecutive weeks of redemptions, a retreat from the previous cumulative flow peak,…

CryptoSpot marketsUS marketsSentiment
FMZ forum

The document explains how strategy developers can attach metadata to rental registration codes and read it inside a strategy to set different usage limits for different customers. A strategy can map metadata values to operating tiers, then check account…

Spot marketsRisk managementPosition sizingExecution
Amberdata research

This market snapshot surveys crypto-related regulatory and security developments alongside spot exchange activity, decentralized trading, lending, and network data. It describes changes in exchange market share and volumes, reports that…

CryptoSpot marketsFuturesDeFi
NautilusTrader

This reference explains how a spot commodity instrument is represented in a trading system, using examples such as gold and silver. It distinguishes cash commodity markets from dated futures contracts and lists the instrument fields needed to describe price…

CommoditiesSpot marketsFutures
Quant course library

The document is a historical series of hourly candlestick observations for a BCH/USDT market. Each row records a timestamp, open, high, low, close, and traded volume, giving the basic inputs commonly used to inspect price movement, calculate technical…

CryptoSpot marketsBacktestingTechnical indicators
Quant course library

The document introduces a position calculator for a grid strategy that tracks net quantity, average price, and accumulated profit as fully filled orders arrive. Its example illustrates that after buying at several nearby levels and selling part of the…

CryptoSpot marketsGrid tradingPosition sizing
Quant course library

This document describes a software interface for spot trading. It provides methods for placing limit and market buy or sell orders, checking balances and order status, canceling orders, and retrieving ticker, candle, and order book data. The order wrapper…

CryptoSpot marketsExecutionMarket microstructure
Quant course library

The document contains historical ADA/USDT candlestick observations at half-hour intervals. Each row records a timestamp, open, high, low, close, and traded volume, allowing a researcher to inspect price movement and activity or use the series as an input to…

CryptoSpot marketsBacktestingStatistics
Quant course library

This guide explains how to use a Python wrapper around multiple cryptocurrency exchanges through a mostly consistent interface. It shows initialization with an exchange name and credentials, then describes calls for market status, candlesticks, order books,…

CryptoSpot marketsExecution
Quant course library

This lesson explains how Python functions return values and how that differs from printing output. It covers explicit returns, the implicit None result when no value is returned, how a return ends the current function, and how multiple returned elements are…

CryptoSpot marketsExecution
Quant course library

This document is a daily candlestick dataset for the BTC/USDT market during 2019. Each row records a timestamp and the open, high, low, and close prices, together with traded volume. The visible entries span portions of the year, including early-year…

CryptoSpot marketsBacktesting
Quant course library

The document contains hourly open, high, low, close, and volume observations for the ADA-USDT market. The visible records begin in early May 2018 and continue through the end of December 2018, with gaps in the displayed sequence. The fields support basic…

CryptoSpot marketsBacktestingStatistics
Quant course library

The document walks through preparing a Python environment, installing a trading framework, and launching its graphical interface. The example registers exchange gateways and applications for strategy execution, historical data recording, risk controls,…

CryptoSpot marketsFuturesBacktesting
Quant course library

This spot strategy generates signals from a fast and a slow moving average. It identifies a bullish crossover using completed bar values rather than the current bar, which is intended to avoid signals that flicker while a bar is forming. A bullish cross…

CryptoSpot marketsMomentumTechnical indicators
Quant course library

The document sketches a scheduled accumulation strategy for a crypto trading pair. A broker object stores an exchange connection, symbol, investment amount, latest bid and ask, and most recent order identifier. A scheduler periodically refreshes quotes,…

CryptoSpot marketsExecutionPosition sizing
Quant course library

This HTTP client code illustrates basic operations for an exchange trading API: request signing, server-time retrieval, order creation and cancellation, open-order and position retrieval, and historical candle loading. Private requests add a timestamp and…

ExecutionMarket microstructureCryptoSpot markets
Quant course library

This implementation describes a two-sided spot grid. It tracks buy and sell limit orders, checks their exchange status, and, when one fills, places a replacement order on the other side at a configured percentage gap. It rounds prices and quantities to…

CryptoSpot marketsGrid tradingExecution
Quant course library

This guide describes configuring and running an automated cryptocurrency grid trader for spot or futures markets. Its settings include the trading pair, percentage spacing between grid levels, per-order quantity, price and quantity precision constraints, and…

CryptoGrid tradingVolatilityRisk management
Quant course library

The document surveys several ways to seek returns in cryptocurrency markets: lending assets through deposit products, supplying liquidity to earn fees, collecting perpetual-futures funding, trading price differences between contracts with different…

CryptoArbitrageCarryFutures
Quant course library

The document describes a funding-rate trade that pairs a short perpetual futures position with a long spot position of equal size. It proposes opening the hedge when both the funding rate and quoted spread meet configured thresholds, collecting funding…

CryptoArbitragePerpetual futuresSpot markets