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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

9,660 documents

MQL5 code base

This document describes a chart dashboard intended to support short-term scalping decisions. It compares a fast and a slow exponential moving average to label momentum as bullish, bearish, or flat, while showing whether the broker spread is below a user-set…

ForexMomentumTechnical indicatorsExecution
MQL5 code base

The document describes an expert advisor that opens buy trades, sell trades, or both at a user-specified time. It presents this time-based entry mechanism as usable for hedging, scalping, longer-term approaches, or investigating recurring market behavior…

ExecutionForexMarket microstructure
MQL5 code base

This MetaTrader 5 indicator monitors existing trend lines and reports when price crosses them. It can track manually drawn lines or lines supplied by another tool, but does not create trend lines itself and does not support horizontal lines. Each line has…

Technical indicatorsExecution
MQL5 code base

The document explains a ring buffer as a fixed-length array that retains recent values by replacing the oldest entries as new data arrives. In trading indicators and expert advisors, this can avoid storing values for every historical bar when calculations…

Technical indicatorsExecution
BigQuant

This tutorial outlines a Java client that connects to a streaming market data service over WebSocket, authenticates with an API key, and subscribes to selected instruments and data types. It explains the role of the Java endpoint annotations and session, and…

ForexExecutionMarket microstructure
QTPyLib

This reference page catalogs technical indicators and data utilities available in QTPyLib for use with bar data. The built-in list covers volatility and range measures, moving averages, channels, momentum oscillators, returns, volume-related measures, price…

Technical indicatorsExecutionStatisticsVolatility
FMZ forum

This Chinese-language tutorial section explains two ways to request exchange API data. For endpoints that do not require authentication, such as market data unrelated to account details, it describes using an HTTP query function and gives examples for…

CryptoFuturesExecution
MQL5 code base

The document describes a visual aid that maps each hour of a 24-hour clock to a named trading session using a broker’s server time, while also showing the user’s local computer time. It highlights the currently active session or session overlap, helping…

Multi-assetExecution
BigQuant

This article describes four alleged ways quantitative traders affect or exploit short-term stock activity: creating false breakouts, pushing prices through clustered stop levels, trading aggressively near the close, and repeatedly capturing small spreads. It…

China marketsEquitiesHigh-frequency tradingExecution
Cryptohopper blog

This overview surveys ways of seeking income from cryptocurrency holdings, including mining, staking, decentralized finance lending, yield farming, savings accounts, masternodes, Lightning nodes, airdrops, dividend-like tokens, and automated trading. It…

CryptoDeFiRisk managementExecution
MQL5 code base

This MQL5 Expert Advisor example changes its next trade size according to why the previous trade closed. After a stop-loss exit, it doubles the volume; after a take-profit exit, it resets volume to the minimum allowed by the symbol. The article explains that…

Position sizingRisk managementExecution
MQL5 code base

The article describes an expert-advisor method for allowing another trade after an existing position has been protected at break-even. It counts only matching positions whose stop loss has not reached the entry price, using the count to enforce a maximum…

ExecutionPosition sizingRisk management
MQL5 code base

This note introduces an older modified version of a High/Low indicator inspired by the Gann High Low Activator. A change in indicator color is treated as a potential buy or sell signal. In that signaling approach, the note recommends closing an opposing open…

Technical indicatorsTrend followingMomentumExecution
FMZ forum

This reference summarizes Kraken futures contract conventions and integration details for automated trading. It distinguishes inverse crypto-margined contracts from a forward contract margined in BTC, describes perpetual and fixed-maturity listings, and…

CryptoFuturesPerpetual futuresExecution
Amberdata research

The article examines mid-2023 stablecoin price dislocations across centralized and decentralized exchanges, focusing on USDC, USDT, DAI, and BUSD. It compares exchange-aggregated prices and fiat trading pairs, then links the sharpest USDC and USDT/USD…

CryptoArbitrageMarket microstructureExecution
Hyperliquid docs

This document explains how Hyperliquid assesses trading fees across perpetual futures and spot markets. Fee tiers use rolling 14-day weighted volume, with spot volume counted twice; a user's tier applies across assets, while sub-account volume aggregates to…

CryptoPerpetual futuresSpot marketsMarket microstructure
vn.py community

The forum response explains one possible reason that strategy messages written through a logging method appear in the application but not in log files: file output may filter messages below a configured severity threshold. It says that strategy messages…

ExecutionRisk managementStatistics
ProRealCode

This indicator description presents a one-minute scalping signal based on two modified, smoothed oscillators. Each oscillator filters the change in closing price over a lookback, then normalizes its output by a decaying estimate of its absolute peak. The…

Technical indicatorsMomentumHigh-frequency tradingExecution
quant-trading

This Python example implements a Dual Thrust opening range breakout for intraday prices. It aggregates minute data into daily open, close, high, and low values, then calculates a rolling range from prior highs, lows, and closes. At the stated example…

ForexBreakoutTechnical indicatorsBacktesting
BigQuant

This Chinese equity screen selects stocks with amplitude above 1 and previous-day turnover above 8%, while excluding Beijing-listed shares. The article presents amplitude as a way to locate more volatile stocks and turnover as a sign of recent trading…

EquitiesChina marketsVolatilityExecution
Hummingbot docs

This documentation explains an order-refresh tolerance setting for a market-making bot. At each configured refresh interval, the bot can keep existing bid and ask orders active while their spreads remain within a specified percentage range; it cancels and…

Market makingExecutionMarket microstructureRisk management
MQL5 code base

This document outlines an Expert Advisor that trades from signals generated by the NRTR_extr indicator. A signal is recognized when a large colored indicator dot appears at a bar’s close. The description identifies the required compiled indicator and notes a…

ForexTechnical indicatorsBacktestingExecution
Hyperliquid docs

The document explains that Hyperliquid provides WebSocket connections for real-time exchange data and as an alternative to sending requests over HTTP. Clients connect to the endpoint for their chosen network, then send subscription messages to receive…

CryptoExecutionMarket microstructure
Cryptohopper blog

This guide explains common order instructions used on cryptocurrency exchanges. It contrasts market orders, which prioritize immediate execution at the best available price, with limit orders, which specify a price but may remain unfilled. It then describes…

CryptoExecutionRisk managementSpot markets