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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
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

9,797 documents

SuperMind

The document explains the Dual Thrust trend-following system, which defines a recent trading range from the largest of two high-to-close and close-to-low spreads. It sets upper and lower trigger levels by adding scaled versions of that range to a reference…

EquitiesFuturesTrend followingBreakout
TqSdk

This guide explains how to use a target-position scheduler to execute a sequence of position-adjustment tasks. A table specifies each task’s duration, desired net position, and pricing mode: pause, passive quote, active quote, or a custom price function.…

FuturesExecutionMarket microstructure
WonderTrader

This overview catalogs Python examples for the WonderTrader framework, including CTA strategies, futures and stock backtests, futures arbitrage, optimization, reinforcement learning, and high-frequency trading. It names Dual Thrust as a sample strategy used…

FuturesEquitiesHigh-frequency tradingArbitrage
SuperMind

These notes describe several practical features of futures and over-the-counter derivatives markets. They explain how central counterparties manage standardized OTC trades through margin and default-fund contributions, while bilateral trades use master…

FuturesDerivatives pricingRisk managementMarket microstructure
BigQuant

This note presents a simplified Turtle trend-following system and applies it to a rubber futures contract. It frames the approach around seeking positive long-run expectancy, controlling risk, following rules consistently, and favoring simplicity. The…

FuturesCommoditiesTrend followingBreakout
ProRealCode

This indicator description shows a way to mark neutral trading ranges using transitions, or twists, between the Ichimoku Senkou Span A and Senkou Span B lines. It draws each range’s upper and lower boundaries as a rectangle, ending the range when price…

Technical indicatorsTrend followingBreakoutEquities
MQL5 code base

This script counts consecutive runs of bullish and bearish bars over a user-selected window and plots the distribution. Each run is represented by a signed value: positive for bullish sequences and negative for bearish ones, with the magnitude equal to the…

StatisticsTechnical indicatorsForexFutures
BigQuant

The document outlines a process for forecasting dividends for index constituents, aggregating those estimates into an index-level total, and predicting when the dividends will be paid. Historical distributions are described as concentrated mainly in May…

EquitiesFuturesChina marketsCarry
vn.py

This document explains a portfolio management interface for monitoring strategy-level positions, trades, and profit and loss during the trading day. It treats each order source, such as manual trading or a strategy module, as a separate portfolio and…

FuturesPortfolio constructionRisk management
FMZ forum

This document raises implementation questions about trading two OKEX futures maturities through one exchange object. Its example switches between the this-week and quarterly contracts to request tickers over WebSocket, then switches again before submitting…

CryptoFuturesArbitrageExecution
TqSdk

This example describes a short-term price timing strategy for a gold futures contract. It calculates an AR indicator from recent daily bars by comparing the accumulated distance from open to high with the distance from open to low, scaled as a percentage.…

FuturesCommoditiesMomentumTechnical indicators
OctoBot

This guide explains how to obtain exchange history for OctoBot Script backtests and how to reuse previously downloaded data. The fetch request is configured with a trading pair and candle interval, with optional settings for the starting timestamp, exchange,…

BacktestingCryptoSpot marketsFutures
BigQuant

The article argues that Rust can suit quantitative trading infrastructure where large data workloads, dense computation, concurrency, and low latency matter. It attributes this fit to Rust’s performance, memory and thread safety guarantees, and lack of…

ExecutionHigh-frequency tradingEquitiesFutures
vn.py community

This forum post explores how VeighNa's historical bar loading relates to strategy initialization, bar aggregation, and trading decisions. The author asks whether loading bars at minute, hourly, or daily intervals supplies the corresponding historical data,…

FuturesExecutionMarket microstructure
ProRealCode

The document describes a long-only GER40 strategy on a four-hour chart. Its written description says to buy when price is below the 200-period EMA and above the 50-period EMA, with a linear regression slope filter, then exit when price is above the 28-period…

FuturesTechnical indicatorsTrend followingRisk management
FMZ forum

This essay argues that trend following can exploit the tendency of traders to seek high win rates, take profits early, and let losses run. It recommends simple, rule-based systems that avoid future information and do not depend on extensive parameter tuning.…

FuturesTrend followingTechnical indicatorsRisk management
FMZ forum

This reference introduces MyLanguage, a domain-specific language for writing programmatic trading analyses on the FMZ Quant platform. It explains scalar and sequence data, strings, numeric and Boolean values, global variables, naming conventions, and…

CryptoFuturesTechnical indicatorsBacktesting
vn.py community

This short Chinese-language post asks how to retrieve position data from a CTP trading gateway. The author shows a connection sequence that loads gateway settings, initiates a connection, pauses for login and initial contract, account, and position queries,…

FuturesExecutionMarket microstructure
vn.py community

This brief Chinese forum reply addresses a user whose CTP connection is failing without producing log output. It explains that an “inactive front end” status means the CTP server is currently unavailable, and suggests trying again during trading hours. The…

FuturesExecution
vn.py community

This forum exchange addresses a connection failure encountered while following a VeighNa tutorial on retrieving option quotes through the CTP interface. The questioner has authorization for a futures broker’s test account and asks whether completing…

OptionsFuturesExecution
Hummingbot docs

The guide explains how to configure Hummingbot Strategy V2 controllers to run market-making strategies for multiple trading pairs through one generic script. It walks through creating a separate controller configuration for each pair, setting values such as…

CryptoFuturesMarket makingExecution
MQL5 code base

The document explains tick volume as a count of deals during an intraday period. Because reported futures trade volume can arrive a day late, tick counts offer a more timely way to observe activity. They do not reveal the number of contracts in each deal, so…

FuturesForexTechnical indicatorsBacktesting
vn.py community

The article explains why futures research often uses constructed continuous series: individual contracts expire, so a longer history requires rules for selecting and joining successive contracts. A direct splice can create an artificial price gap at a roll,…

FuturesTrend followingBacktesting
vn.py community

This post describes a macOS setup problem connecting VeighNa’s CTP interface to a futures broker. The reported symptoms are an initial 4040 error followed by repeated 4097 errors. The author says the broker’s troubleshooting materials targeted Windows, while…

FuturesExecution