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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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

19,452 documents

FMZ forum

This guide explains how the FMZ Quant platform organizes strategy development and bot operation. Users manage strategies and bots through the website, while a Docker service on their own or a rented machine connects to exchanges, runs the strategy, and sends…

CryptoFuturesExecutionRisk management
FMZ guides

This guide explains how programs can call FMZ’s extension API to retrieve account and robot information, issue commands, and manage robot states. It covers API key creation and per-method permissions, response and status codes, request parameters, and an…

ExecutionMarket microstructureCrypto
Hummingbot docs

This overview describes an automated cross-exchange market-making executor in the Hummingbot framework. The strategy seeks to capture price differences between venues or markets by placing a maker order on one side and executing against a taker market when…

CryptoMarket makingArbitrageExecution
MQL5 code base

This indicator description explains a histogram oscillator formed from the difference between two smoothed Tenkan-Sen lines calculated over different periods. The histogram is color-coded, making the difference between the two Ichimoku-derived averages…

Technical indicatorsCrypto
NautilusTrader

This example describes a live data actor that subscribes to a slice of Bybit BTC options. At startup, it searches cached instruments for unexpired Bybit options, selects the soonest expiry, prefers USDT settlement when available, and constructs the…

CryptoOptionsDerivatives pricingExecution
Kraken Learn

The article explains BitVM as a proposal for verifying complex computations on Bitcoin without changing the network’s consensus rules. It describes representing universal NAND logic using existing Bitcoin Script components, with most computation performed…

CryptoExecutionMarket microstructure
Amberdata research

This excerpt organizes the 2025 crypto market into six regimes, grouped into early-year optimism, a mid-year build, and a late-year crisis and aftermath. It proposes identifying regimes through their triggers and through changes in flows, open interest,…

CryptoPerpetual futuresVolatilityRisk management
Kraken Learn

A wrapped crypto asset is presented as a token backed one-to-one by an underlying asset, often one native to another blockchain or platform. Wrapping creates a tokenized representation that can be used on a network where the original asset is not directly…

CryptoDeFiSpot markets
Kraken Learn

BitTorrent distributes file sharing across participating computers: providers divide files into pieces, and requesters can obtain those pieces from multiple providers. The document describes BTT as an incentive and payment token intended to compensate…

CryptoSpot marketsDeFi
Hyperliquid docs

This document explains how Hyperliquid builder codes let an application builder charge a fee on fills from orders submitted on a user's behalf. Users first authorize a maximum fee for a builder; the authorization must come from the user's main wallet and can…

CryptoDeFiPerpetual futuresSpot markets
Hummingbot docs

This guide introduces the Avellaneda–Stoikov framework for setting bid and ask quotes while managing a market maker’s inventory. It describes a reservation price that shifts away from the mid-price according to inventory deviation, risk aversion, volatility,…

Market makingCryptoRisk managementExecution
Amberdata research

This article introduces four ways portfolio managers can adapt familiar valuation concepts to blockchain assets. A discounted cash-flow approach replaces conventional corporate cash flows with protocol value accrual, such as transaction fees or staking…

CryptoOn-chain dataStatisticsCommodities
Hummingbot docs

A liquidity miner describes using automated pure market making across cryptocurrency pairs in liquidity mining campaigns. His approach is to distribute capital across available pairs, use a spreadsheet to plan allocations, order sizes, balance limits, and…

CryptoMarket makingRisk managementExecution
FMZ forum

This guide outlines an event-driven framework for monitoring and trading many Binance spot pairs quoted in a selected base currency. It recommends using the aggregated ticker WebSocket feed instead of repeatedly polling individual pairs, while noting that…

CryptoSpot marketsExecutionMarket microstructure
FMZ forum

The author warns that rented strategies can display steadily rising live curves while concealing a risk of catastrophic loss. They describe systems resembling martingale or complex hedged, locked-position approaches, and recount a trader who ran several…

Risk managementPosition sizingCryptoBacktesting
Kraken Learn

The document introduces NFTs as blockchain tokens whose metadata points to a file or other asset. It distinguishes ownership of the token from copyright or other intellectual property rights: buyers can generally verify and transfer the token’s ownership,…

CryptoOn-chain dataRisk management
Hyperliquid docs

HIP-2 describes an on-chain strategy for bootstrapping liquidity in newly deployed spot tokens quoted against USDC on Hyperliquid. A deployment specifies an initial price, order count and size, and how many levels begin as bids. Prices form a recursively…

CryptoSpot marketsMarket makingDeFi
FMZ live strategies

This page reports live performance statistics for a trading robot labeled as a Polymarket signal source, operating on a five-minute chart interval. The displayed status and logs show directional UP or DOWN signals, a price-to-beat reference, and whether…

CryptoStatisticsBacktestingRisk management
BigQuant

This BigQuant forum post describes a custom Python module that runs successfully in AIStudio 3.0 but fails when submitted as a scheduled data task. The example reads the latest stored date, loads a local CSV of Bitfinex symbols, requests newer daily market…

CryptoExecution
FMZ forum

A trader reports that a live ETH/USDT setup returns a ticker whose raw exchange data identifies the symbol as ETCUSDT, with a last price far below the ETH price shown in the Binance app. The example also shows an account response containing a raw information…

CryptoSpot marketsExecutionMarket microstructure
Amberdata research

This market snapshot assesses an early-2026 crypto rally using price and volume changes alongside open interest, perpetual funding, ETF flows, stablecoin supply, orderbook depth, and volatility. It interprets rising prices, expanding open interest, positive…

CryptoPerpetual futuresMarket microstructureVolatility
Jesse

This report gives results for an hourly, long-only IFR2 strategy on ADA/USDT using Binance candles from January 2019 through April 2021. The simulation records 260 closed trades and reports a positive net result and annual return, alongside a maximum…

CryptoSpot marketsTechnical indicatorsBacktesting
OctoBot

This French-language overview compares five open-source tools for automating cryptocurrency trading: OctoBot, FreqTrade, Hummingbot, Jesse, and Superalgos. It describes their broad use cases and relative strengths, including configurable strategies, cloud or…

CryptoMarket makingGrid tradingBacktesting