- Comparing Algorithmic Indicators, Scripts and Strategies
- Introduction to Backtesting & MEME stocks
- Introduction to UltraAlgo Trading Platform
- Introduction to TradingView Trading Platform
- Introduction to Trading Across Different Time-Frames
- How to Trade Options (Open Interest, Calls, Puts, Call-Put Ratio, Maximum Pain)
What you'll learn
- How to use Algorithmic Trading from UltraAlgo with Artificial Intelligence
- How to identify Stock Resistance & Support Lines
- Where to track Institutional Trades (Market Makers)
- How to trade with Profit Targets & Stop Limits
- How to send Market Orders to TradeStation, Interactive Brokers and TD Ameritrade
- How to trade options (Calls, Puts, Open Interest, Put-Call Ratio, Maximum Pain)
Description
In this course we introduce traders into how to leverage algorithmic trading, backtesting and optimizers to improve trading performance. We introduce a diverse portfolio of tools (platforms, algo indicators, strategies, strategy optimizers, and portfolio allocation) across various platforms (Interactive Brokers, TradingView, TradeStation, TD Ameritrade, Alpaca) depending on the individual requirements of the customer. All the tools are designed with retail trading in consideration, but also capable of executing across the most demanding of institutional specifications.
Back-testing is core to this course and algorithmic trading in general. Our team is lead by experienced High Frequency Traders who have built complex trade order management and execution systems for Tier 1 Banks along with Hedge Funds. Predictability and consistency can only be achieved when traders have insights into historical trading trends.
The lastest platform release that will be covered, leverages the power of genetic algorithms in combination with our robust 15-indicator script to identify patterns quickly with accuracy. Run through thousands of input combinations for a clear indication of which settings delivered optimal profitability rates or profit factor. We include both models of optimization, should a trader be focused on a high return / high risk vs lower returns / lower risk allocation strategy.
Topics of Discussion:
▶ Trading To Multiple Brokers
▶ Real-Time Market Data
▶ One-Click Optimizer (Genetic)
▶ Clear Buy / Short Signals
▶ Institutional Trades Tracked
▶ Adjustable to Stock Volatility
▶ Selectable Base Technical Indicator
▶ Support / Resistance Levels
▶ Machine Learning Price Forecast
▶ Options Trading (Calls, Puts, Open Interest, Maximum Pain)
▶ Trading with Artificial Intelligence (Ai)
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About the instructors
- 3.15 Calificación
- 2894 Estudiantes
- 1 Cursos
Alejandro Antonini
Founder | Algorithmic Trader and Developer
Algorithmic Trader with over 15 years of experience working with major banks, hedge funds and analytics platforms. Market experience includes: ICE Intercontenental Exchange (Market Data) , Interactive Brokers (Market Data), 1010Data (Mortgage Backed Securities & Market Data), Eka1 (Commodities Trading), TradeStation (Brokerage), TradingView (Charting Platform) and UltraAlgo (Trading Platform). Developed an Algorithmic trading platform in partnership with a doctoral graduate from MIT in quantative analytics, to-date we have supported over 9,000 traders internationally.
Student feedback
Course Rating
Reviews
He is Promoting his product
Considering the topic is relatively complex, this training session makes it fairly easy to get started. Recommend for anyone trying to get into the space.
Great
This is a platform specific modules. Not useful.
The audio is not clear and the course is not structured well
Not really a good match. It was too industry-specific and not a general algo trading course
Beautiful. Most indicators are focused on volume or very weighted indicators such as RSI, VWAP, but the idea of leveraging a range of signals in a dynamic format is unique. Worth the time to investigate. Good job chaps.
not good one
I was the best experience with this course