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Algorithmic Trading for Beginners 2026-Build Custom Bots

Name: Algorithmic Trading for Beginners 2026-Build Custom Bots
Rating: 4.3 (86 reviews)

Build Custom Bots Without Coding Experience-MT4-MT5-Ninjatrader-Free Trading Bots Included in the Course

Role Play

Created byJavier Héctor Comi Paricio

Last updated 3/2026

English

English [Auto],

What you'll learn

Learn to create a trading bot using different types of platforms and tools.
Learn how to create a workflow.
Learn how to perform a proper backtesting by analyzing the results.
Learn the steps to follow to start trading with bots on a real money account.
Importance of proper risk management.
Learn the basic concepts of trading to generate ideas for new bots.
Importance of the robustness of a strategy.
Importance of always trading first on a demo account

Course content

11 sections • 52 lectures • 3h 59m total length

Ready to elevate your algorithmic trading game?0:51
Explore why 80% of trades are driven by bots, and learn to design and implement trading bots with no coding experience, plus a bonus bot and its optimization strategy.
Welcome to the introductory course on algorithmic trading4:02
Learn to create trading bots without programming knowledge by using platforms and tools, validate ideas through backtesting, demo trading, and risk management to pursue profitable, robust strategies.
Welcome and Working Methodology for this course2:35
Don’t rush to give feedback on this course0:40

What is algorithmic trading?3:47
Define algorithmic trading as automated, code-driven order execution. Use graphical, volatility, and price arbitrage analyses to identify repeating patterns with risk management.
Types of Strategies We Can Find in the World of Algo Trading5:14
Explore arbitrage, mean reversion, and momentum strategies, learn their workflows and back testing, and compare MetaTrader and MQL4 market bots with custom AI options for safe live trading.
The Importance of Backtesting in Trading2:37
Backtesting is a fundamental tool in the world of trading that allows investors and traders to evaluate the viability of an investment or trading strategy by applying historical data. Below are some reasons that explain its importance:
Strategy evaluation: Backtesting allows traders to test their strategies retrospectively, using historical data. This helps them identify whether the strategy would have been profitable in the past.
Risk reduction: By testing a strategy in a simulated environment with past data, traders can have a better idea of how it would behave in the real market, thus reducing the risk of unexpected losses.
Identification of flaws: When performing backtesting, weaknesses in the strategy can be discovered, such as excessive risk levels, low profitability, or false signals. This allows the strategy to be adjusted and improved before applying it with real money.
Parameter optimization: Backtesting allows for the adjustment and optimization of different strategy parameters, such as entry and exit points, stop-loss levels, or position sizes, to maximize gains or minimize losses.
Confidence and discipline: Successful backtesting can give traders the confidence to follow their strategy in a disciplined manner, especially during times of market volatility or uncertainty.
Consistency measurement: A trading strategy may appear successful over a specific period of time, but backtesting across different market cycles can help determine if the strategy is consistently profitable under varying conditions.
Institutional Trading0:52
Identify liquidity and order blocks in the financial market relevant to institutional traders, explore fractals and the different types of traders, and download the pdf to build your own strategies.
Types of trading - part 1: Swing Trading2:07

Concepts of Swap and Leverage in Trading3:19
Learn how brokers charge swap for keeping forex positions overnight, and how high leverage amplifies exposure and risk with practical examples.
The importance of support and resistance in trading2:10
What is a moving average and what is it used for in trading?5:06
Key Technical Indicators: RSI2:50
Scalping in trading2:10
Open interest2:06
Explore open interest on the CME futures market, track open positions and changes, and learn the commitments of traders report that classifies producers, swap dealers, and money managers.
What is a trailing stop?2:24
Learn how to implement a trailing stop, a dynamic stop loss that moves with price movements to protect profits and automate risk management in stock and currency trading.
How to draw trend lines0:36
Technical Patterns in Trading1:23
Learn how technical patterns in trading reveal repetitive price-chart structures formed by market participants, including flags, triangles, candlestick patterns, and reversals, to identify entry and exit points across markets.
How to Install and Import New Trading Bots in MetaTrader4:19

Presentation on the NinjaTrader Platform for Automated Trading1:01
NinjaTrader platform allows you to create automated trading strategies from scratch using its Strategy Builder, without requiring any programming knowledge. Additionally, you can always use NinjaTrader for free and take advantage of:
BASIC FEATURES
Advanced Charts
Trade Simulator
Strategy Backtesting
Real-time Scanner
Market Replay
Customize C# NinjaScript Development
DATA, ADD-ONS, AND EDUCATION
Free end-of-day data for stocks, futures, and Forex
Selection of data providers including Kinetick
Thousands of third-party add-ons
Free product training webinars
Comprehensive Help Manual with extensive video library
Hundreds of educational videos
Key Tools of the Platform | Ninjatrader Strategy Builder3:35
Types of variables that can be used in developing a strategy1:38
Moving Average Crossover Strategy | NinjaTrader Strategy Builder12:47
Crafting a Custom Strategy with ChatGPT: A Step-by-Step Guide in NinjaTrader20:26
Explore a ChatGPT-generated NinjaTrader strategy using nine and 21 moving averages, RSI 14 above 50, and volume over 20 bars on a five-minute S&P 500 setup.

Official MetaTrader website with its tools and Market4:27
Backtesting process in MT47:05
Historical data is crucial for backtesting. We provide a link to a website where you can download historical data for most Forex pairs for free.
To perform a backtest, you'll need historical data. We have a link to a website offering free historical data for many Forex pairs.
Completion and analysis of the first MT4 backtest9:02
Learn to run an MT4 backtest with the Strategy Tester, set spread and dates, view visual mode results, and assess a two-year pound-dollar test's profitability.
Technical analysis vs Fundamental analysis9:41
Compare technical analysis and fundamental analysis to decide trading strategies, using macro context, backtesting limits, and market reports to guide gold trades.
Donald Trump's strategy applied to trading8:09
The Trump Bot for download.0:34
Create your first moving average crossover bot with ChatGPT use It MetaTrader

EABuilder creates your own automated trading bots.1:52
Explore the EABuilder platform to create automated trading bots without programming, customize indicators, set alerts, and backtest strategies, with free and licensed plans and demo accounts.
Golden Cross strategy on the GBP/USD pair9:46
Configure a Golden Cross buy rule on GBP/USD using a 10-period EMA crossing above the 20-period EMA, integrate price filters and money management, and deploy as an MT4 expert advisor.
Creating a trendline breakout bot3:57

Introduction to the TradEAsy platform1:15
The importance of having audited accounts for a trading bot1:42
TradEAsy dashboard3:17
Larry Connors strategy4:56
Present Larry Connors strategy using a two-period RSI and 260- and six-period moving averages to time entries and exits on the one-hour S&P 500, with 65.56% wins and low drawdown.
Candle direction strategy and free bot from the course8:27
Free course bot, strategy based on a pattern that repeats in specific timeframes and within the same time zone.
A winning seasonal bot for Bitcoin9:58
Trading Strategy Committee Simulation

Introduction to the ProRealtime platform0:47
Learn how to set up the pro real time platform, switch the interface language to English, log in, and explore the 151 indicators available in the indicators section.
Creating our first strategy using the MACD indicator7:36
Create a MACD-driven forex strategy using 10, 20, and 30 period EMAs with a 169-period filter on a pound-dollar chart. Backtest and optimize entry and exit rules for real-time trading.
How to create our own technical indicators3:56
Create and customize your own technical indicators with Pro Real Time, tweak the code, apply to charts, and test to automate trading strategies.

Requirements

No prior knowledge of trading or programming is required; just a PC, an internet connection, patience, and a bit of imagination will be enough.

Description

In this course, updated for 2026, you will learn the basics of building a trading bot from scratch without any programming knowledge, compatible with MT4, MT5, and Tradestation.

In this course, we will cover different platforms and tools that will allow us to learn how to create and configure a trading bot, going through the necessary stages before deciding to trade with real money.

This course includes a free trading bot, where we will teach the applied strategy and how to configure it.

Understand the differences between trading manually and using trading bots.

We will explore the current relevance of algorithmic trading in the markets.

The importance of conducting prior backtesting to understand the bot’s past performance in the market.

How to manage risk effectively.

How to open a demo account with a broker.

How to install an Expert Advisor (bot) on MT4 and MT5.

Is it possible to use only indicators in a trading bot?

Basic theoretical knowledge of trading that will provide ideas for creating your own trading bots.

Categories of different types of technical indicators we can use in bot construction.

Analysis and optimization of different types of strategies.

Difference between a filter and an activator in a trading bot.

Technical analysis VS fundamental analysis.

Is it possible to obtain a funding account with FTMO?

Very important note about this course:

Past results are not a guarantee of future performance.

This content is for educational purposes only and does not constitute financial, legal, tax, or professional advice.

Who this course is for:

This course is aimed at individuals who want to get started in the world of trading but don’t have enough time to be trading in front of the charts all day or part of the day.
Students who want to learn about algorithmic trading from scratch
For traders who lack experience with automated trading and who often let emotions influence their trading decisions, a bot offers a more objective approach, making trades based solely on predetermined rules and conditions.

Algorithmic Trading for Beginners 2026-Build Custom Bots

What you'll learn

Explore related topics

Course content

Introduction and Course Methodology4 lectures • 8min

Foundations of Algorithmic Trading5 lectures • 15min

Essential Technical Concepts10 lectures • 26min

Risk management and trader psychology2 lectures • 5min

NinjaTrader platform for creating automated strategies5 lectures • 39min

MetaTrader 4 and MetaTrader 5 (Trading with trading bots on these platforms)6 lectures • 39min

EABuilder Platform Presentation3 lectures • 16min

StrategyQuant Platform Presentation2 lectures • 26min

TradEAsy Platform Presentation7 lectures • 30min

ProRealtime Platform Presentation3 lectures • 12min

Requirements

Description

Who this course is for: