What you'll get(All videos):

• 5 strategies that beat the market + Codes attached
• Codes in Tradingview + Amibroker
• Train to think like a quant
  • Thinking like a trader
    • Diversify, Drawdowns, Win rates
  • Thinking like a coder
  • Thinking like a mathematician
    • Position sizing, Money management
  • Thinking like a quant
    • Trend following, Mean reversion, Profit distribution, MAE, MFE, Optimization, Walk forward
• Discussion
  • Case against Day trading
  • Best platforms to backtest
  • Crash course coding(Tradingview + Amibroker)

What you'll get(All videos):

• 12 strategies that beat the market + Codes attached + 2 bonus strategies
• Codes in Tradingview, Amibroker, Python & Quantconnect
• Strategies backtested by Position sizing
• Portfolio backtests 
• Train to think like a quant
  • Thinking like a trader
    • Diversify, Drawdowns, Win rates
  • Thinking like a coder
  • Thinking like a mathematician
    • Position sizing, Money management
  • Thinking like a quant
    • Trend following, Mean reversion, Profit distribution, MAE, MFE, Optimization, Walk forward 
• Discussion
  • Case against Day trading
  • Best platforms to backtest
  • Crash course coding(Tradingview +Amibroker)
  • Monte Carlo analysis(4 examples) 
  • Pairs Trading
  • Ideal Portfolio diversification

What you'll get:

• All contents from Prometheus Course 

• 9 ML/AI Strategies Covering Key Models
• Decision Trees 
• Linear Regression
• Principal Component Analysis
• Neural Networks
• Recurrent Neural Networks (RNN)
• Long Short term Memory (LSTM)
• Markowitz Portfolio Optimization to AI
• All Strategies that has beaten average SPX CAGR/Max Drawdown
• Application of ML/AI to a Portfolio of Stocks
• Portfolio Rebalancing using AI
• Intelligent adoption of Training and Testing data to ML/AI strategies
• Execution Via Python & Quantconnect
• Hyperparameter Tuning
• Combining Multiple AI models in a single strategy
• Individual Challenge for each ML/AI model to learn better
• Drip Release & Quizzes each day to make Learning Efficient
• Opportunity To post Blog Articles on QuantProgram Website

This is NOT a trading course. This course is meant for retail traders to learn sufficient coding and quantitative research skills to make sure that strategies they decide to create and are effective and have higher odds of success in the market, ie be a quantitative trader.

Most of the other trading courses give you an illusion of making money. Their idea is to sell "Do this and you will make a profit." They will also show charts and tape on when it was profitable and conveniently avoid showing the loss scenarios as much as possible. There is no proof of their trading strategy success as its not backtested or optimized or forward tested or portfolio backtested or simulated using Monte Carlo.

Our course are primarily created to educate students in using quantitative tools using coding to create effective trading strategies. The trading strategies serve as a examples on how yo use these tools. Its more of a skill based course than a typical trading course that you see online. All our trading systems has been back tested with high quality paid data over 27 years. The strategies that we code go through black swan events like pandemic, global financial crisis and the dot com bubble.  Stress tests are also performed on these strategies by using Monte Carlo simulations. We also show the proof of the performance that you yourself can see and back test.

The goal of the course is not just in using these strategies but to teach you how to create better efficient strategies yourself. You will learn how to tweak certain variables to get better results. Learning quantitative skills gives you a massive edge as compared to other retail traders.

Most of the other quant trading courses conveniently avoid multiple black swan events and just focus on backtesting past 10 years. Our strategies go back the past 27 years with 3 major black swan events. Those courses also form biases in their stock selection, ie backtesting on stocks that performed well in their strategy. Our stock portfolio selection in Prometheus course is randomly selected with one of them doing 20000+ trades. We also teach how to do optimization and walk forward along with Monte Carlo simulation to add randomness to our trades.

We are also the only quant trading course in the world that covers, tradingview pinescript, amibroker, python and quantconnect.

The course consists educational content teaching you the foundations of quantitative trading along with how to develop successful quantitative strategies. These strategies serve as a foundation to create better strategies. Just like a football coach or a math tutor, we can only teach and guide you. Whether you will be successful or not purely depends on your work ethic and dedication. There are advances happening in quant trading everyday. Many years ago python didn't even exist, we cant guarantee its existence in the future either. A quant trader should always be willing to learn newer developments and sharpen his tools. This involves pure individual commitment from the students part. He or she should be willing to put in the effort and brainstorming sessions to create even better strategies than we have.

Prometheus has a total of 10 strategies as compared to 5 in Alpha. 3 of the strategies in Prometheus has portfolio backtest. The returns on Prometheus are higher than the Alpha package. We also discuss Monte Carlo simulation( stress test by adding randomness) with 4 Monte Carlo examples. The Prometheus includes everything thats included in Alpha package with addition of Pairs Trading discussion and how and when we can apply this strategy along with Ideal portfolio discussion. Prometheus has also additional strategy on Crude oil and Bitcoin. Prometheus has also strategies in Python done via Quantconnect.

The Machine Learning/Ai  course offers 7 advanced ML/AI strategies covering key models, including Decision Trees, Linear Regression, Principal Component Analysis, Neural Networks, Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), and Markowitz Portfolio Optimization enhanced with AI. The strategies are designed to outperform the S&P 500 in terms of CAGR and max drawdown. You’ll learn to apply ML/AI techniques to stock portfolios, use AI for portfolio rebalancing, and adopt intelligent training and testing data methods. The course features hands-on challenges, hyperparameter tuning, and the combination of multiple AI models into a single strategy, executed via Python and QuantConnect. A drip release format with daily quizzes ensures efficient learning, and participants have the opportunity to publish their work on the QuantProgram website. All content from the Prometheus Course is included tin the ML/AI course to further enrich the learning experience.

The major difference between these 2 courses is that the ML/AI is focussed fully on application of ML/AI quantitative models  and algorithmic trading while Prometheus doesn't include any ML/AI models.

We cover Python via Quant Connect, Amibroker and Tradingview Pinescript. In Alpha we have 5 strategies which are written in Amibroker and Tradingview. However Alpha doesnt include any codes in Python or Quantconnet. In Prometheus all 10 strategies are available in Tradingview. 3 of the strategies involve portfolio backtesting with position sizing in S&P500 and Russel 3000. This is done in Amibroker and Quantconnect(Python) as Tradingview doesn't have capacity to do portfolio backtests. However the codes are also available in Tradingview as well but the members will only be able to do backtest individually in Tradingview as compared to Amibroker or Python. For the Prometheus course all stock and stock based ETF strategies(Q1-Q8) are also done in Quantconnect(Python) 

Yes all codes are attached within the course

The strategies can be applied across stocks and stock based index ETFs. In our Alpha course all 5 strategies are performed in SPY ETF, Indian Stocks and 1 of them was applied in portfolio of US stocks. In our Prometheus package we have an addition 3 strategies which we apply in a portfolio of stocks selected randomly listed in the Russel 3000 and S&P 500. We also have an additional strategy on Crude Oil and Bitcoin however we recommend focussing on stocks based strategies as this yield more predictable results due to high amount of data available to research.

The result can be found in link below. 

Course Performance Analysis

Note that these results are not indicative of future performance. As quant traders we use our tools in improving the performance by using forward test and regular intervals. Monte carlo tests are also needed to be performed in portfolio strategies to improve the odds of success and reduce the risk of ruin.

If you are basing your decision to buy the course purely from this results, we highly recommend you not buy the course. The goal of the course is teach you skills and tools to make you a quant trader. The strategies serve as a foundation and examples to achieve this goal.

The course has contents that includes trade strategies that has has been backtested past 25 years on 1000's of stocks. Along with codes in multiple languages like pinescript, amibroker and quantcannect via python. Once you get access to this information a return is unreasonable. Hence there will not be a refund for this course due to sale of intellectual property and trade secrets.

Please go through all the information available in the website and the FAQ's before you purchase this course. You are more than welcome to contact us to seek further clarification.

No, you don't need any coding experience. We will walk you through how to code in each of the platforms. You are free to ask us any doubts or clarifications regarding the codes within the course. However we will not be able to help you with any private or personal project outside the course contents. Coding is hard and you should put in the effort and willingness to learn and brainstorm.

No strategy in the world is guaranteed to make money forever. There will be good years and bad years. Just like many other hedge funds or famous traders. Our goal as quant traders or any other investor or individual trader is to beat the SPY buy and hold both in CAGR and in drawdowns(DD). Ideally our CAGR/DD ratio should be better than that of SPY. This can not be achieved by a single strategy. We need multiple strategies that trade multiple products. We should make sure that our strategies can handle black swan events. We need to make sure we have mean reverting strategies that perform well during volatile and downtrending markets along with momentum and trend following strategies that perform well during up trending markets. The stock based strategies in the course has beaten the SPY buy and hold in CAGR/DD ratio but this does not mean it will continue in the future. We have done rigorous test via Monte Carlo simulation in our stock-portfolio based strategies but applying this strategy individually  doesn't guarantee success for the future. We need to apply a combination of strategies. 

The strategies in the course serve as a foundation to create better strategies. Our students have gone on to create far better strategies with higher CAGR/DD ratio than in our course. But this purely depends on the work ethic and dedication of the students. Just like a football coach or a math tutor, we can only teach and guide you. Whether you will be successful or not purely depends on your work ethic and dedication.

There is a very high degree of risk involved in trading. Past results are not indicative of future returns. quantprogram.com and all individuals affiliated with this site assume no responsibilities for your trading and investment results. The indicators, strategies, columns, articles and all other features are for educational purposes only and should not be construed as investment advice.

In the ML/AI course, Drip Release is a learning format where content is released gradually over time, typically one section or lesson per day. This approach helps you absorb and apply the material effectively, allowing you to focus on one topic at a time. Each day, you’ll receive new content, including videos, readings, challenges, and quizzes, which you need to complete before moving on to the next set. This structured, step-by-step progression ensures a more manageable learning experience, encourages consistent engagement, and helps you build skills sequentially to reach your goals faster.

We use Paypal

No, the course does not include purchase of Amibroker or Quantconnet or any other data or platform service provider. You can however try their trial in their official website. All strategies are available in Tradingview as well. Tradingview is free as of now. However we advice that if you want to take your quant career to the next level in the future you may need to focus on platforms that allow Portfolio backtest, Position sizing in this portfolio, Optimization, Walk forward and Monte Carlo simulations and Amibroker has built in systems for that. Quantconnect has portfolio backtest and optimization feature but do not have Monte carlo simulation or forward testing feature.

No, all our strategies are overnight strategies. We do not deal with any intra-day strategies. Our quantitative studies and backtests have given us insights that creating successful day trading strategies are extremely difficult.