
Explore the difference between algo trading and manual trading, learn to use ready-to-use expert advisors on the MetaTrader platform (robots), and compare automated strategies with manual execution.
Master algorithmic trading by performing backtesting, robustness checks, and demo and live testing across brokers, while maintaining robots daily and adapting to market changes to sustain profits.
Highlight the contrast between manual and algo training by showing how manual analysis and on-the-fly execution can miss opportunities, while algorithmic approaches streamline timely trades.
Meet three robots performing algorithmic trading across forex, crypto, and stocks, trading assets like euro/dollar and euro/pound, and discover how stop loss and take profit guide risk.
compare demo and live trading to practice with virtual money, verify broker data and execution match on both accounts, and test with small positions before switching to live trading.
Explore trading view and MetaTrader 4 as platform options for forex, stocks, and crypto, comparing web versus desktop, expert advisors, backtesting, algorithmic trading, and price alerts.
Discover why MetaTrader 4 remains the go-to platform for algorithmic trading, trusted by thousands for robots, signals, the tests, and free to use with hands-off execution and virtual practice.
Learn MQL, the language for MetaTrader, and how expert advisors are coded with stop loss, take profit, and indicators, then compare learning, buying robots, and using strategy builders.
Evaluate expert advisors from the marketplace by testing demos for months, checking reviews and community validation, and ensuring developers actively maintain and update robots on the MetaTrader platform.
Explore the MetaTrader platform in detail, learn to trade manually or with robots, and prepare for algorithmic trading across forex, crypto, and stocks.
Learn how to download MetaTrader 4 from a broker, set up a demo or live account, and use expert advisors for algorithmic trading on forex, crypto, and commodities.
Learn how to place trades on MetaTrader using one-click trading, understand bid and ask prices, spreads, and lot sizes, and explore buy/sell limits and stop orders.
Learn how stop loss and take profit automate closes in forex trading on MetaTrader to protect profits and limit losses. See practical examples of setting profit targets and stop levels.
Set stop loss and take profit in MetaTrader 4 for open and pending positions by modifying orders, choosing levels, and understanding profit and pips to manage trades.
Explain forex trading terminology clearly for beginners, covering brokers, virtual vs live accounts, indicators, bull and bear markets, long and short positions, and bid-ask spreads, pips, and leverage.
Learn how forex indicators, notably moving averages, reveal buy signals when bars open above the average and exits when bars open below, while examining usefulness and concerns.
Explains that moving averages are based on the close, not the opening, making it impossible to know the moving average at a bar’s start and warning against repainting indicators.
Learn how moving averages smooth price charts and reveal market direction using forex indicators. Understand their calculation and how they help identify uptrends, downtrends, or sideways movement.
discover how to compute the simple moving average from the last five closing prices of candlesticks by summing and dividing by five, and note exponential and weighted variants.
Discover why default parameters for indicators, including the moving average with a 14 period, don't work reliably and can cause you to buy and sell inappropriately depending on the strategy.
Combine different indicators, such as moving averages, to build trading strategies. Use crossovers to trigger buys and sells, and rely on two or more indicators for clearer entries.
Learn how to install MetaTrader indicators on the chart via the top menu or navigator, adjust Bollinger Bands, and keep visuals simple for forex, stocks, and crypto trading.
Learn to use signals on MetaTrader four, compare paid signal services with your own strategy, and place orders using indicators such as CCI and moving averages for automated trading.
Explore the forex market, the world's largest currency exchange, where central bank moves and large money flows drive euro and dollar pairs with algorithmic robots and backtested strategies.
Learn forex trading strategies with expert advisors and robots, including stop loss, commodity channel index, moving averages crossover, and Bollinger bands; note parameters may update.
learn the eurodollar strategy on a one-chart setup using moving averages confirmed by cci crossing zero upward for entries, exits by bollinger bands, with 50-pip stop and 70-pip take profit.
Learn a GBPUSD hourly strategy using the accelerator oscillator with CCI confirmation, entering on zero-cross with ±120, and exiting via take-profit, stop-loss, or stochastic shift.
Use eurgbp hourly strategy with DeMarker entry signals and Alligator exit signals, targeting 20 pips take profit and 95 pips stop loss, tested via backtest and demo before automation.
Learn to place and run trading robots on MetaTrader 4, install expert advisors, and execute automatic algo trading across multiple strategies with built-in stop loss and take profit.
Learn to use the MetaTrader strategy tester to back test expert advisors and trading robots, compare open price methods, manage historical data, and avoid over-optimization.
Explore results from three robot strategies on euro dollar, pound dollar, and euro pound, detailing stop loss, take profit, and swap, with emphasis on demo testing before live trading.
Explore cryptocurrency algorithmic trading using CFDs, comparing manual and automated strategies, and learn to trade bitcoin's price movements within a single broker, without owning the asset.
Explore algorithmic crypto trading on MetaTrader 4 with Easy Markets, using demo accounts and VPS hosting to test strategies, manage spreads, and switch between manual and automated bitcoin trades.
Explain Bitcoin strategy number 1: enter on the opening of the fifth hourly candle after four consecutive positive bars, and exit after four consecutive negative bars, emphasizing algorithmic trading.
Implement an exit rule for Bitcoin strategy using the RBI indicator: close the trade when the green RBI line crosses the zero level downward, ending a long position.
Apply a simple bitcoin strategy: enter on the fifth bar opening after four consecutive candles on a one-hour chart and exit when the RBI zero line crosses.
explore a bitcoin strategy using Bollinger bands with a 37-period and deviation 2.56, timing entries on the upper band break and exits via the Force index zero line.
Explore a bitcoin strategy using the lower Bollinger band for sell signals and force index zero-cross exits, with chart entries and backtesting in MetaTrader.
Explore simple bitcoin strategies on the one-hour chart to avoid missing entries in a volatile market, using minimal indicators and clear entry rules, with backtesting and demo-trading before real risk.
Utilize a swing trading setup with the Williams percent range crossing -20 level (47-period) to enter, and the Commodity Channel Index (CCI) with 50-period and ±115 levels to exit.
Explore Strategy 3: buy after price declines to capture long-term opportunities in bitcoin while using multiple trading strategies to diversify risk and enhance profits across lower timeframes.
Watch a losing trade example using the Williams percent range crossing the negative 80 and a CCI exit above 115, contrasting manual versus robot trading.
Follow step-by-step to load and enable three expert advisors on MetaTrader, configure inputs and indicators, and manage lot sizes for automated trading; practice with a demo account.
Demonstrates risk diversification by running three expert advisors across forex, crypto, and stocks; two long and one short trade highlight profitability despite volatility.
Discover how fractional shares enable stock trading with robots on MetaTrader 5, using Apple, Amazon, and Google strategies tested for demo accounts on the AM 15 timeframe.
Learn to trade real stocks on MetaTrader 5 (and 4), set up a demo account with virtual funds, and test simple algorithmic and manual strategies on the M15 chart.
Learn how Nasdaq trading hours limit algorithmic strategies for Apple, Amazon, and Google, with 15-minute charts and expert advisors on MetaTrader 5, open 9:30 am to 4:00 pm.
Explore the Apple strategy using a 21-period momentum cross above 100 to enter trades, exit with Bollinger Bands, and guard capital with a five-dollar stop loss.
The Apple strategy examples show how momentum cross signals and Bollinger Bands rules generate both profitable and losing trades, with clear entry and exit points, stop losses, and robot-based execution.
Learn an Amazon trading strategy that enters on two consecutive same-color candles on a 15-minute chart, using a $50 stop loss and Williams %R exit signals.
Learn a practical Amazon trading strategy using Williams percent range cross signals to switch from long to short, manage stop loss, and follow strict, robot-driven rules.
Apply the Google trading strategy by using fast and slow moving averages to trigger entries on downward crossovers and exits on upward crossovers, with a fixed stop loss.
Show how the Google trading strategy uses moving average crossovers to time entries and exits, with a stop loss and exits when the blue 10 crosses the blue 30.
Discover how to deploy stock expert advisors on MetaTrader 5, enable algo trading, adjust inputs and lots, and attach them to charts for automated trades.
Watch the robots in action as automated trades open on Apple and Amazon, with confirmed momentum crosses, buy signals, and stop losses illustrating algorithmic trading on MetaTrader four.
Wraps up the course by showing how beginner-friendly algorithmic trading uses ready to use robots across forex, stocks, and crypto on specialized platforms with regulated brokers and ongoing daily learning.
Complete Algorithmic Trading Course - Forex, Stocks, Crypto
Algorithmic Trading Masterclass - Learn Forex Trading - Stock Trading - Quantitative Finance - MQL - Cryptocurrency
Would you like to participate in the Crypto Market, the Stock Market, or the Forex Market but have no idea where to start?
Welcome to the Complete Algorithmic Trading Course, which will give you 9 Ready-to-use Trading Robots.
Algorithmic trading just got easier with this course because no programming or trading experience is needed!
What will you learn in this Algorithmic Trading Course?
What is Algorithmic Trading, and why it's better than Manual trading
How to test Robots on Virtual accounts without any risk
MetaTrader 4 platform as the most trustees platform for algorithmic trading
3 Tested Strategies for Forex Trading
3 Tested Strategies for Crypto Trading
3 Tested Strategies for Stock Trading
Algorithmic trading is complicated indeed because you need to learn Forex trading. You need to know how Stock Trading works. Especially if you wish to do Cryptocurrency algorithmic trading, it becomes a complete mess. Plus, it would help if you learned MQL to code the strategies into Robots.
With this course, you won't need to learn trading or programming. We will show you how to trade the Robots that we trade with.
You will get 3 Robots as a BONUS for each:
Forex Trading
Stock Trading
Cryptocurrency Trading
More, you will learn how the strategies behind these Robots work. Where exactly do the trades open and close the positions, and for what reasons.
There is nothing hidden. You will receive the Robots code so you can examine and learn from it if you are a developer.
Keep in mind that when we do Algorithmic Trading, there is never a guarantee that Robots will continue profiting in the Future. Even we have profits until the moment, and we tested the strategies.
During this Algorithmic Trading Course, you will learn how to test those Robots on virtual accounts so you won't be risking real money. And trading with a Demo account is beneficial because it's a pure simulation of real trading. This way, you will build realistic expectations and test the strategies and the Robots by yourself.
By the end of this Algorithmic Trading course, you will feel comfortable trading with Robots on the Forex market, the Stock market, and the Crypto market.
And why do we trade with many Robots and not just one?
This way, we achieve Risk-diversification. If you have some experience in trading, you will know that every strategy has profitable and losing trades. Of course, we always look for strategies that have more winning trades. And when one of the Robots hits on a losing trade, the others will compensate for it. This is the risk-diversification.
And with this Algorithmic Trading Course, you will achieve more considerable diversification because you are not just trading different forex pairs, coins, or stocks. You will be trading with different Robots on 9 different markets.
If you are ready to start your Algorithmic Trading journey, let's get into it!
TJ and Petko A
This course is designed to be helpful for students looking for expertise in the following areas:
MQL
Forex
Quantitative Finance
Trading Bot
Algo Trading
Forex Trading
Algorithm Trading
Algorithmic Trading