Cryptocurrency Trading and Investment
| Delivery Method | Dates | Timing | Location | Registration Fees |
|---|---|---|---|---|
| Instructor-Led Training (In-Person and Live Webinars) |
October 4, 11, 18, 25, 2025 | Saturdays: 2:00 PM - 4:30 PM | Dubai Knowledge Park | USD 1,250 |
About this Program
Cryptocurrency Trading & Investment is a hands-on mentorship program that combines real-time trading experience with structured learning of cryptocurrency markets. Designed for beginners, traders, and enthusiasts, this immersive course allows participants to connect their accounts on centralized exchanges such as Binance and observe a fully automated trading system executing strategies on leading assets like BTC and ETH. All trades are displayed through a live dashboard, providing participants with direct visibility into strategy execution and performance.
Throughout the program, participants will learn how to read charts, interpret market signals, and apply technical analysis using popular indicators such as EMA and RSI. They will gain a clear understanding of the differences between spot and futures markets, including how leverage and volatility impact trading outcomes. Risk management principles such as stop-loss, take-profit, trailing stops, and position sizing are emphasized, enabling participants to build trading strategies step by step — and then see these strategies executed in real market conditions through the automated trading system.
Upon successful completion, participants will receive a Course Completion Certificate accredited by the Dubai Government (KHDA).
Registration closes September 22, 2025 — Limited seats available!
Course Outline
Audience
Prerequisites
After the Course
Course Outline
Module 1 – Introduction & Setup
- Basics of blockchain, coins, tokens, and stablecoins.
- Tokenomics: how to evaluate a crypto project.
- Centralized vs. decentralized exchanges (CEX vs DEX): pros, cons, and use cases.
- Why crypto markets are unique (volatility, 24/7 trading, liquidity differences).
- Introduction to spot and futures markets (advantages, risks, and when each is used).
Optional Exercise: Place a simple manual trade (market buy/sell) to see how order execution works.
Module 2 – Trading Strategy Basics
- Timeframes and charting basics.
- Difference between indicators, signals, and full strategies (sets expectations clearly).
- Key indicators: support & resistance, moving averages, RSI, Bollinger Bands, and volume.
- How indicators help identify market trends and trading opportunities.
- Order Types: market, limit, stop-limit, and OCO orders — when and why to use each.
Optional Exercise: Compare how the same trade could be placed manually vs executed by the automated system.
Module 3 – Futures Trading Fundamentals
- What futures contracts are and how they differ from spot.
- Margin types: isolated vs. cross.
- Leverage: amplifying gains and losses.
- Funding rates and their role in perpetual futures.
- Long vs. short positions and liquidation risks.
- How liquidation prices are calculated.
- Pros & cons of futures vs. spot.
Optional Exercise: Place a manual leveraged futures order on Binance to compare manual execution with the automated system.
Module 4 – Risk Management & Execution
- Why risk management is the foundation of successful trading.
- Position sizing: how to decide trade size based on account balance.
- Stop-loss, take-profit, and trailing stop strategies.
- Managing volatility in crypto: ATR (Average True Range) and other tools.
- Risk/reward ratios: assessing whether a trade is worth taking.
- The psychology of risk: avoiding over-leverage and revenge trading.
Optional Exercise: Manually place a futures trade with a stop-loss and take-profit to reinforce order placement and risk discipline.
Module 5 – Building & Testing Advanced Strategies
- Moving from simple signals (EMA/RSI) to combining multiple indicators.
- Strategy layering: adding filters (e.g., RSI + Bollinger Bands + Volume confirmation).
- Risk integration: applying stop-loss, take-profit, and trailing stops inside strategy templates.
- Backtesting vs. forward testing: understanding how strategies are evaluated in practice.
- Key performance metrics: PnL, drawdown, win rate, Sharpe ratio — and how to interpret them.
- Common pitfalls in strategy development: overfitting, ignoring fees, over-leverage, and unrealistic expectations.
Optional Exercise: Place a simplified manual version of the same strategy on Binance with a small position size to compare execution speed, accuracy, and consistency with the automated system.
Module 6 – Portfolio Management & Capstone
- Why portfolios matter: risk diversification across assets and strategies.
- Running multiple strategies on multiple assets (BTC, ETH, and selected altcoins).
- Balancing long, short, and neutral positions.
- Portfolio-level risk management: maximum drawdown, capital allocation, and exposure limits.
- Monitoring correlations between assets and avoiding overexposure.
- Performance review: evaluating strategies individually vs. at the portfolio level.
- Preparing for real-world trading: discipline, record-keeping, and continuous improvement.
Capstone Exercise: Each participant configures their own small portfolio (select assets + strategy templates + risk controls) and runs it during the session. At the end, they present their results, lessons learned, and how they would improve their approach going forward. Write a short trading plan summarizing your portfolio strategy and risk approach.
Audience
Audience
- Beginners entering crypto: Individuals new to cryptocurrencies who want to understand the market, trading strategies, and investment opportunities.
- Investors diversifying portfolios: Traditional investors seeking exposure to crypto as an alternative asset class.
- Professionals upskilling: Finance, tech, and business professionals looking to stay current with trends in crypto trading and blockchain.
- Entrepreneurs in crypto: Individuals starting or expanding ventures in the cryptocurrency space who need a solid foundation in market dynamics.
- Crypto enthusiasts: Those already familiar with crypto who want to deepen their knowledge of trading strategies, technical analysis, and on-chain data.
- Students in finance, economics, or tech: University students who want hands-on exposure to crypto trading and investment.
- Traders interested in automation: Individuals curious about using trading bots and automated systems to test, execute, and optimize trading strategies more efficiently.
Prerequisites
Prerequisites
- Basic finance awareness (recommended): Familiarity with concepts like markets, stocks, or commodities is helpful but not required.
- General knowledge of cryptocurrencies: Awareness of Bitcoin, Ethereum, or other major digital assets will make the learning curve smoother.
- Basic computer literacy: Ability to use a computer, access websites, and navigate online platforms is essential for trading exercises.
- Willingness to learn: An open mind and curiosity about blockchain, crypto, and automated trading systems are the most important prerequisites.
After the Course
After completing this course, participants will be able to:
- Confidently set up and secure a Binance account with API keys for safe trading access.
- Understand and apply key trading concepts: spot vs. futures, leverage, and margin management.
- Use technical indicators (EMA, RSI, Bollinger Bands, support/resistance, volume) to identify trading opportunities.
- Execute and compare manual trades with automated system execution to understand efficiency and accuracy.
- Develop, test, and evaluate trading strategies with proper risk controls (stop-loss, take-profit, position sizing).
- Access and interpret the trading dashboard: analyze executed trades, PnL, drawdowns, and risk exposure; download data for further analysis.
- Run multiple strategies across different assets within a portfolio and assess overall performance.
- Apply risk management principles to minimize drawdowns and avoid common trading mistakes.
- Leverage the automated trading system to scale strategies and maintain discipline in execution.
Testimonials
The workshop on big data and machine learning was an excellent introduction to practitioners considering using data science. Ahmed demonstrated considerable teaching talent rooted in his long expertise with systems development.
Very rewarding course. Rare to find a Deep learning course in Dubai that teaches concepts from scratch and provides practical applications. Will definitely recommend.
Innosoft Gulf Institute is educating students breaking and revolutionary techniques with focus on future trends in CIT industry. Mr. Ahmed is well updated on latest technologies related to Big Data, AI, Machine Learning, etc.
Rated as 5 star in terms of overall deliverance.
