Stock Selection with Fundamental Data in QuantConnect
Learn how to filter and rank stocks using fundamental data like P/E ratio, market cap, and revenue in your QuantConnect universe selection model to build value or growth-based stra...
quantconnect
quantconnect Quant Strategy Code Examples
A curated index of all 118 SEO examples for quantconnect, built for quick discovery and comparison across quantitative trading scenarios.
Examples
118
Latest update
12/11/2025
Effective Debugging Techniques for QuantConnect Algorithms
Improve your algorithm development workflow with effective debugging strategies in QuantConnect. Learn how to use logging, charts, and backtesting tools to find and fix errors in y...
Using Multiple Data Resolutions in a Single QuantConnect Algorithm
Learn the techniques for subscribing to and managing multiple data resolutions (e.g., daily, hourly, minute) within one algorithm to build more sophisticated trading models in Quan...
Coding an Iron Condor Options Strategy in QuantConnect
Explore advanced options trading by building an Iron Condor strategy in QuantConnect. This tutorial covers selecting strikes, managing the four-legged trade, and monitoring the pos...
A Guide to Trading Continuous Futures in QuantConnect
Master futures trading in QuantConnect by learning how to use continuous future contracts for seamless backtesting across contract expirations, including data mapping and rollover ...
Implementing a Donchian Channel Breakout Strategy with QuantConnect
Learn to build a classic trend-following strategy using Donchian Channels. This guide shows how to identify price breakouts and place trades with the QuantConnect API.
Building a Custom Risk Management Model in the QuantConnect Framework
Take full control of your portfolio's risk by creating a custom RiskManagementModel in the QuantConnect LEAN Framework. This tutorial guides you through the implementation pro
Dynamic Position Sizing with ATR in QuantConnect
Move beyond fixed position sizes. Learn how to adjust your trade sizes based on market volatility using the Average True Range (ATR) indicator in your QuantConnect algorithm.
Persisting Data Across Backtests with QuantConnect's ObjectStore
Discover how to use QuantConnect's ObjectStore API to save variables, data, or trained models between backtesting sessions and for live trading deployment.
How to Build a Mean Reversion Strategy in Python with QuantConnect
Learn how to implement a classic mean reversion trading strategy using Python on the QuantConnect platform. This guide covers calculating moving averages and placing trades when pr...
QuantConnect Framework: How to Create a Custom Alpha Model
Go beyond built-in models by learning to create your own custom Alpha Model within the QuantConnect Algorithm Framework. This tutorial covers the structure, methods, and implementa...
Building a Pairs Trading Strategy with Python in QuantConnect
A detailed guide to creating a market-neutral pairs trading strategy in QuantConnect. Learn how to identify cointegrated pairs, calculate spreads, and execute trades based on stati...
Visualizing Strategy Data with Custom Charts in QuantConnect
Enhance your algorithm analysis by learning how to plot custom time series data, such as indicator values, portfolio metrics, or custom scores, on your QuantConnect backtest result...
How to Implement a Covered Call Options Strategy in QuantConnect
Learn to generate income from your stock holdings by implementing a covered call strategy. This tutorial covers selecting options, placing trades, and managing positions in a Quant...
Integrating Machine Learning Models into QuantConnect Strategies
A comprehensive guide on integrating a pre-trained machine learning model from a library like Scikit-learn to generate trading signals within a QuantConnect algorithm. Includes a P...
Parameter Optimization for Trading Strategies in QuantConnect
Discover techniques for running parameter optimization on your QuantConnect algorithms to find the most robust settings for indicators and strategy logic, improving backtest perfor...
QuantConnect Guide: Implementing Trailing Stop Loss Orders
Learn how to protect profits and limit losses dynamically by implementing trailing stop loss orders in your QuantConnect trading strategies. Includes Python code examples and best ...
Building an RSI Trading Bot with Python in QuantConnect
Explore how to implement a mean-reversion strategy based on the Relative Strength Index (RSI). This tutorial includes a full Python example for trading overbought and oversold sign...
How to Build a MACD Crossover Strategy in Python with QuantConnect
This guide provides a step-by-step walkthrough and a complete Python code example for creating a classic MACD (Moving Average Convergence Divergence) crossover strategy on the Quan...
QuantConnect Tutorial: How to Use Custom Data in Your Algorithm
Learn how to import, manage, and utilize custom datasets, such as CSV files with sentiment scores or alternative data, within your QuantConnect trading algorithms to create more so...
Scheduling Events After Market Open with QuantConnect
Learn to precisely time your trading logic in QuantConnect by using `schedule.on` with `time_rules.after_market_open` to execute code a specific amount of time after the market ope...
Handling Brokerage Disconnections in QuantConnect
Build more robust live trading algorithms by implementing the `on_brokerage_disconnect` and `on_brokerage_reconnect` event handlers to manage your strategy's state during conn...
How to Add Forex Data to Your QuantConnect Algorithm
Learn how to use the `add_forex` method in QuantConnect to subscribe to foreign exchange data streams like EURUSD, specifying resolution and market for your currency trading strate...
Implementing a Dynamic Stop-Loss in QuantConnect Using ATR
Enhance your risk management by learning how to implement a dynamic stop-loss order in QuantConnect that adjusts based on the Average True Range (ATR) of a security, adapting to ma...
Setting a Custom Benchmark in Your QuantConnect Algorithm
Discover how to set a custom benchmark security, such as SPY, in your QuantConnect algorithm to accurately measure its performance against a relevant market index.
QuantConnect Python Guide: Accessing Security Properties
Learn how to access fundamental properties of a security object in QuantConnect, such as the current price, holdings information, and market data, using the `self.securities` colle...
QuantConnect PEP8 Guide: Migrating Object Properties
A focused guide on migrating your QuantConnect Python algorithm to the new PEP8 API, specifically covering the change from CamelCase properties like `HoldingsValue` to snake_case `...
Creating Chained Orders with on_order_event in QuantConnect
Learn the correct pattern for creating chained or conditional trades in QuantConnect by placing a new order inside the `on_order_event` handler, ensuring logic only runs after a pr...
Accessing Trade and Quote Data in QuantConnect's Slice Object
Master QuantConnect's `Slice` object by learning how to correctly access different data types like `TradeBars` and `QuoteBars` within your `on_data` event handler for multi-as...
QuantConnect PEP8 Guide: Migrating Enums and Constants
Learn the new PEP8 standards for enums and constants in QuantConnect, such as converting `Resolution.Minute` to `Resolution.MINUTE` and `OrderStatus.FILLED` to `OrderStatus.FILLED`...
Handling Asynchronous Order Events in QuantConnect Live Trading
Learn the key differences between synchronous order events in backtesting and asynchronous events in live trading. This guide provides best practices, such as avoiding placing new ...
Performing Intensive Computations Before Market Open in QuantConnect
Discover how to use Scheduled Events or the `train` method in QuantConnect to perform computationally intensive tasks like model training or data analysis before the market opens, ...
The Role of Fill-Forward Data in QuantConnect Backtests
Understand how enabling fill-forward data ensures your `on_data` event handler is called regularly, even without new trade data. This guide explains the benefits and potential pitf...
How to Automatically Liquidate Options Before a Stock Split in QuantConnect
Learn about QuantConnect's built-in mechanism that automatically submits market-on-open orders to liquidate equity option contracts when the underlying stock has an upcoming s...
QuantConnect Guide: How Cash Settlement Works in Backtesting
This tutorial explains the cash settlement process within QuantConnect's backtesting engine. Learn when cash from trades becomes available and how to model settlement delays t...
A Deep Dive into QuantConnect's Order Fill Models
Learn how QuantConnect's fill models simulate the execution of non-market orders like limit and stop orders in a backtest. Understand the assumptions and logic to improve the ...
QuantConnect: Understanding Slice Processing in Backtesting vs. Live Trading
Explore the critical differences in how data slices are processed between backtesting and live trading in QuantConnect, especially when your algorithm's `on_data` handler is s...
Modeling CME SPAN Margins for Futures in QuantConnect
This guide explains how QuantConnect's engine uses CME SPAN margins for futures contracts. Learn how this realistic margin modeling impacts your futures trading strategies and...
How to Model a Pattern Day Trader (PDT) Account in QuantConnect
Discover how to accurately model a Pattern Day Trader (PDT) account in your QuantConnect backtests. This tutorial covers setting up your algorithm to use 4x intraday equity margin ...
QuantConnect Guide: How to Select a Previous LEAN Engine Version
Learn how to select a specific past version of the LEAN engine in your QuantConnect projects. This guide explains how to delay migration to new APIs like PEP8 by pinning your algor...
QuantConnect: Implementing Multi-Currency Arbitrage Logic
A step-by-step guide on how to implement a multi-asset, multi-currency arbitrage strategy in QuantConnect. Learn to manage cash in different currencies and execute trades based on ...
Implementing Custom Symbol Selection Logic in QuantConnect
Go beyond simple universe selection by learning how to implement a custom Python function that filters and ranks symbols based on your own logic, such as calculated alpha or moment...
QuantConnect Python: How to Check if an Asset is Invested
Learn the simple and effective way to check if your algorithm currently holds a position in a specific security using the `security.invested` boolean property in QuantConnect, perf...
QuantConnect Guide to Handling Different Order Statuses
Learn how to properly use the on_order_event handler in QuantConnect by checking for specific order statuses like FILLED, CANCELED, or SUBMITTED to build robust and error-free orde...
QuantConnect Deep Dive: The BrokerageModelSecurityInitializer
A detailed guide on using the BrokerageModelSecurityInitializer in QuantConnect to ensure your algorithm's security properties, such as leverage and margin models, accurately ...
Generating Insights with Custom ATR for Dynamic SL/TP in QuantConnect
Explore an advanced technique in QuantConnect to generate insights while storing custom calculated values, like ATR, which can then be used in your on_order_event handler to set dy...
QuantConnect Pre-Trade Checks: Using InitialMarginParameters
Learn how to use the InitialMarginParameters and get_initial_margin_requirement methods in QuantConnect to accurately calculate the initial margin needed for a trade before placing...
Building a Fixed Fractional Portfolio Construction Model in QuantConnect
Step-by-step guide to creating a custom FixedFractionPortfolioConstructionModel in QuantConnect. Learn to control position size by allocating a fixed percentage of your portfolio t...
QuantConnect: Attaching SL/TP Orders After an Entry Order is Filled
Discover a robust pattern for attaching stop-loss and take-profit orders in QuantConnect by using the on_order_event handler to trigger the orders immediately after your main entry...
QuantConnect Guide: Proactive Margin Management with on_margin_call_warning
Learn how to use the on_margin_call_warning event handler in QuantConnect to proactively manage your portfolio's leverage and avoid forced liquidations by responding when your...
QuantConnect Strategy: Liquidating Positions on Universe Removal
Improve your portfolio management by learning how to automatically liquidate positions for securities that are removed from your dynamic universe. This guide shows how to use the `...
Accessing Data in QuantConnect with the Slice `Get` Method
Learn the proper way to access data for a specific security within the `on_data` event handler. This tutorial explains how to use the `slice.get(symbol)` method to retrieve the lat...
QuantConnect Best Practices: Checking if an Indicator is Ready
Avoid common runtime errors in your trading algorithms by learning why and how to check if your technical indicators are fully warmed up. This guide explains the importance of the ...
How to Manually Calculate ATR in QuantConnect with Pandas
Go beyond built-in indicators and learn how to manually calculate the Average True Range (ATR) for any security using historical data and the Pandas library in QuantConnect. This g...
QuantConnect Data Analysis: Reshaping Data with Pandas unstack()
Learn a powerful data manipulation technique for algorithmic trading. This tutorial shows how to use the Pandas `unstack()` method in QuantConnect to transform historical data from...
QuantConnect: Resolving PEP8 API Migration Name Conflicts
Are you seeing strange errors after migrating to the new PEP8 API? This guide explains common naming conflicts, such as `self.securities` vs `self.Securities`, and provides clear s...
Advanced Margin Call Handling in QuantConnect
Gain full control over your portfolio during a margin call. This advanced QuantConnect guide demonstrates how to intercept and modify the default liquidation orders within the `on_...
Using BrokerageMessageEvent in QuantConnect for Live Trading
Enhance your live trading algorithms by learning how to handle and interpret data from the `on_brokerage_message` event handler in QuantConnect. This guide covers how to process br...
QuantConnect Tutorial: Creating a Dynamic Lookback Period for Indicators
Discover how to create adaptive trading strategies in QuantConnect by implementing a dynamic lookback period for your technical indicators. This tutorial explains how to adjust ind...
QuantConnect Guide: Calculating Historical Volatility with NumPy
Learn how to calculate the historical volatility of an asset in your QuantConnect algorithm using the NumPy library. This guide provides a step-by-step Python example for implement...
Setting the Time Zone in Your QuantConnect Algorithm
Learn the importance of setting a time zone in your QuantConnect algorithm using self.set_time_zone(). This guide explains how to correctly align your strategy's time with spe...
Calculating Returns in QuantConnect with Pandas pct_change()
A practical tutorial on using the pandas .pct_change() method with historical data DataFrames in QuantConnect to easily calculate period-over-period returns for momentum and other ...
A Guide to the Security Object in QuantConnect
Explore the powerful Security object in QuantConnect, accessed via self.securities[symbol]. Learn how to retrieve price, volume, holdings, and other critical information for any as...
Accessing Historical Quote Data in QuantConnect
Learn how to access tick-by-tick or minute-level quote data (bid and ask prices) within the on_data event handler using the slice.quote_bars object, essential for strategies involv...
QuantConnect: Portfolio Allocation with PortfolioTarget.Percent
This guide explains how to use the PortfolioTarget.Percent object within a custom Portfolio Construction Model in QuantConnect to allocate a specific percentage of your total portf...
Scheduling Events Before Market Close with QuantConnect
Explore how to use QuantConnect's scheduled events with time_rules.before_market_close() to execute logic, such as position squaring or signal calculation, a specific amount o...
Accessing Indicator Values in QuantConnect with Python
Learn the correct way to access the current and historical values of technical indicators like Bollinger Bands in QuantConnect using the .current.value property and ensure your ind...
QuantConnect Python: How to Check if You Hold a Position
A step-by-step guide on using the self.portfolio[symbol].invested property in QuantConnect to verify if you currently hold a long or short position in a specific security before ma...
How to Set Your Account Currency in QuantConnect
Discover how to use the self.set_account_currency() method in QuantConnect to accurately model trading accounts denominated in currencies other than USD, such as USDT, EUR, or JPY,...
QuantConnect Guide: How to Use Logging for Debugging
Learn how to use QuantConnect's logging methods like self.log(), self.debug(), and self.error() to effectively debug your trading algorithms, track variable states, and monito...
How to Integrate NumPy for Advanced Calculations in QuantConnect
Leverage the power of NumPy within your QuantConnect strategies. This guide shows how to use NumPy for advanced calculations like standard deviation (`np.std`) and mean (`np.mean`)...
QuantConnect API: Understanding the Security Buying Power Model
Dive deep into QuantConnect's margin and leverage modeling. Learn how to access the `buying_power_model` for any security to programmatically calculate margin requirements bef...
QuantConnect Framework: Understanding the Immediate Execution Model
Explore the role of the Execution Model in the QuantConnect Framework. This guide details how the `ImmediateExecutionModel` works to instantly convert portfolio targets into market...
Generating Price-Based Insights in QuantConnect's Alpha Framework
Learn how to use the Alpha Framework to generate predictive signals. This guide explains how to create `Insight.Price` objects with `InsightDirection` (Up, Down, Flat) to power you...
A Guide to Using QuantConnect's Built-in Technical Indicators
Discover how to easily create and use common technical indicators like Bollinger Bands (`BB`), RSI, and EMA directly within your QuantConnect algorithm, and how to check if they ar...
How to Process Multi-Symbol Historical Data in QuantConnect using Pandas
Learn a powerful technique to transform the multi-indexed DataFrame from `self.history` into a clean, symbol-columnar format using pandas' `unstack` method for easier analysis
Advanced Event Scheduling with Date and Time Rules in QuantConnect
Go beyond basic scheduling. This tutorial demonstrates how to use `DateRules` (e.g., `month_start`) and `TimeRules` (e.g., `after_market_open`) to trigger logic at precise moments ...
Trading Cryptocurrency Futures with QuantConnect
Explore how to add and trade cryptocurrency futures contracts in your QuantConnect algorithms. This guide covers adding data, placing orders, and handling crypto-specific concepts.
QuantConnect Guide: How to Simulate Specific Brokerage Models
Learn how to use the `set_brokerage_model` method in QuantConnect to accurately simulate the trading conditions, fees, and leverage of specific brokerages for more realistic backte...
Accessing Order Information with the Transaction Manager in QuantConnect
Discover how to use the self.transactions manager in QuantConnect to retrieve detailed information about any order, including its status, quantity, and type, by using its unique ID...
Finding Alpha with Linear Regression in QuantConnect
A step-by-step tutorial on performing a simple linear regression using NumPy within your QuantConnect algorithm to calculate a security's alpha relative to a benchmark like th...
Efficiently Fetching Multi-Symbol History in QuantConnect
Learn the best practices for requesting historical data for a list of symbols using a single history call in QuantConnect and how to efficiently process the resulting multi-index P...
A Developer's Guide to the SecurityChanges Object in QuantConnect
Understand the properties and usage of the SecurityChanges object, which is passed to the on_securities_changed event. Learn how to effectively iterate through added_securities and...
Managing Multi-Currency Balances with CashBook in QuantConnect
A practical guide to using the CashBook object in QuantConnect to access, monitor, and manage your cash balances for different currencies like USD, EUR, or USDT in your trading alg...
QuantConnect Tutorial: Seeding Prices with FuncSecuritySeeder
Explore the advanced FuncSecuritySeeder class in QuantConnect to properly initialize your security prices at the start of a backtest, ensuring your strategy's performance is r...
How to Set Initial Portfolio Holdings in a QuantConnect Backtest
Learn how to accurately simulate a pre-existing portfolio in your QuantConnect backtests by using the portfolio.set_holdings method to define initial quantities and average prices ...
Calculating Pre-Trade Margin in QuantConnect with Python
A step-by-step guide on how to use the BuyingPowerModel in QuantConnect to calculate the initial margin required for an order before you send it, helping you manage risk and avoid ...
Real-Time Algorithm Control with QuantConnect's on_command Event
Discover how to use the on_command event handler to send external data and commands to your live trading algorithm, enabling real-time interaction and control over your strategy.
QuantConnect Guide: Using the on_securities_changed Event Handler
Learn how to use the on_securities_changed event handler in QuantConnect to automatically react to assets being added or removed from your universe, including how to liquidate posi...
Migrating Your QuantConnect Python Code to the New PEP8 API
Understand the changes in the new QuantConnect PEP8 Python API. This guide provides examples and explains how to update your existing algorithms from CamelCase to snake_case for me...
Building a Forex Trading Bot with Python on the QuantConnect Platform
A beginner-friendly guide to creating a Forex trading algorithm in QuantConnect. Learn how to add Forex pairs, handle different resolutions, and place trades in the currency market...
How to Access Real-Time Portfolio Information in QuantConnect
Learn how to access and utilize key portfolio properties in QuantConnect like total value, cash, holdings, and unrealized profit to make informed decisions and monitor your algorit...
Implementing Stop-Loss and Take-Profit Orders in QuantConnect
Protect your capital and lock in profits by learning how to programmatically create StopMarketOrder and LimitOrder types for stop-loss and take-profit levels in your QuantConnect a...
Custom Security Initialization in QuantConnect with set_security_initializer
Learn how to use set_security_initializer and FuncSecuritySeeder in QuantConnect to control the initial data, such as price, for securities in your algorithm, especially for assets...
How to Implement a Bollinger Bands Strategy in Python with QuantConnect
This guide provides a complete walkthrough for building and backtesting a Bollinger Bands trading strategy using Python in the QuantConnect environment, from adding the indicator t...
Position Sizing in QuantConnect: set_holdings vs. Market Orders
Explore the differences between using the set_holdings method and placing individual buy/sell orders in QuantConnect for portfolio management. Understand the pros and cons to choos...
Optimizing Algorithm Start-Up with QuantConnect's Warm-Up Period
Learn how to effectively use the algorithm warm-up period and the on_warmup_finished event in QuantConnect to initialize indicators and models before trading begins, ensuring your ...
How to Manage Delistings in Your QuantConnect Trading Algorithm
Discover how to use the on_delistings event handler in QuantConnect to gracefully manage positions in securities that are being delisted from the market and avoid errors in your al...
QuantConnect Guide: How to Handle Ticker Changes with on_symbol_changed_events
Learn how to use the on_symbol_changed_events handler in QuantConnect to seamlessly manage security ticker changes and prevent your long-term trading strategy from breaking due to ...
Finalizing Your Strategy with on_end_of_algorithm in QuantConnect
Discover how to use the on_end_of_algorithm event to run code after a backtest or live trading session concludes, ideal for saving results or performing final calculations.
A Complete Guide to Accessing Historical Data in QuantConnect
Explore the self.history() method to retrieve historical market data for any security, resolution, or lookback period, essential for calculating indicators and performing analysis.
How to Liquidate Positions in QuantConnect with Python
Learn the different methods for closing open positions in your algorithm, including liquidating a specific symbol or adjusting its portfolio target to zero.
The QuantConnect Algorithm Event Flow Explained
A detailed breakdown of the sequence of operations LEAN performs in each time slice, from data updates and margin calls to event handler execution.
Handling Options Assignment Events in QuantConnect
Learn how to properly manage options assignments in your strategy using the dedicated on_assignment_order_event handler to process resulting equity positions.
A Deep Dive into the Slice Object in QuantConnect
The Slice object is central to QuantConnect. This guide explains how to access different data types within the on_data event, including prices, quotes, and corporate actions.
Managing Brokerage Connections in QuantConnect
Prepare your algorithm for live trading by implementing the on_brokerage_disconnect and on_brokerage_reconnect event handlers to manage your strategy's state during connectivi...
Automating Rebalancing with Scheduled Events in QuantConnect
Learn to use the schedule.on() method to trigger functions at specific times, perfect for automating periodic tasks like portfolio rebalancing or data analysis.
How to Create a Custom Portfolio Construction Model in QuantConnect
Move beyond equal weighting and learn to build your own portfolio construction model, demonstrated with a fixed fractional model that allocates a set percentage per signal.
2-Day Momentum ETF Strategy with Stop-Loss and Take-Profit in QuantConnect
This guide shows how to implement a short-term momentum strategy on a universe of ETFs, using an ATR indicator to set dynamic stop-loss and take-profit levels.
Implementing the Dynamic Breakout II Forex Strategy in QuantConnect
Learn to code the Dynamic Breakout II strategy, which adjusts its lookback period based on market volatility, using Bollinger Bands and historical data.
Building a CAPM Alpha Ranking Strategy with QuantConnect
A detailed walkthrough of creating a stock selection strategy based on the Capital Asset Pricing Model (CAPM) alpha, using historical data and linear regression.
QuantConnect Guide to Multi-Currency Trading and Cash Management
Understand how to use the Cashbook to manage balances in different currencies, essential for trading Forex, international stocks, or crypto pairs.
How to Handle Margin Calls Programmatically with QuantConnect
Learn to use the on_margin_call and on_margin_call_warning events to proactively manage leverage and prevent forced liquidations in your trading strategy.
Using the on_order_event Handler in QuantConnect
Master the on_order_event handler to monitor order submissions, fills, and cancellations, enabling you to build more complex, stateful trading logic.
Dynamic Universe Selection in QuantConnect with Python
Explore how to use the on_securities_changed event to dynamically manage your trading universe, adding and removing assets as they meet your criteria.
How to Handle Stock Splits and Dividends in Your QuantConnect Algorithm
Learn how to use the on_splits and on_dividends event handlers in your Python algorithm to correctly manage corporate actions and maintain accurate performance tracking.
Implementing a Crypto Arbitrage Strategy in Python with QuantConnect
Discover how to implement a crypto arbitrage strategy by trading the price discrepancies between spot and futures markets. Includes a full Python example using the Bybit brokerage ...
Building a Multi-Asset Trading Strategy with QuantConnect
A step-by-step guide to developing and backtesting a multi-asset portfolio strategy using Python, covering stocks, forex, and cryptocurrencies in a single algorithm.
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