Sebastian Raffaele

So for example, to give you an idea of what this looks like, we would take that strategy and then what we would do is we would start reprocessing that strategy on previously old Bitcoin data to see how it would perform in past markets. And what it would show us was these amazing, crazy results. And back then we were like, wow, we figured it out. This is it. Let's go live.

We threw a few thousand dollars on it and see what it would do. And essentially it lost all the money. So we were very humbled very quickly and realized like, yes, this is working, but there's specific parameters in this that need to be adjusted. Our product development has always essentially been throwing live money into the market. We've funded everything ourselves from day one.

We threw a few thousand dollars on it and see what it would do. And essentially it lost all the money. So we were very humbled very quickly and realized like, yes, this is working, but there's specific parameters in this that need to be adjusted. Our product development has always essentially been throwing live money into the market. We've funded everything ourselves from day one.

We threw a few thousand dollars on it and see what it would do. And essentially it lost all the money. So we were very humbled very quickly and realized like, yes, this is working, but there's specific parameters in this that need to be adjusted. Our product development has always essentially been throwing live money into the market. We've funded everything ourselves from day one.

We've never had a dollar of outside investment. And what we quickly realized is just because something looks good in the past is not going to translate into results moving forward. So we had to identify a few inherent issues. I would say the biggest one we identified, as good as TradingView is, I'll give it the biggest wrap in the world. I think everyone should be using it.

We've never had a dollar of outside investment. And what we quickly realized is just because something looks good in the past is not going to translate into results moving forward. So we had to identify a few inherent issues. I would say the biggest one we identified, as good as TradingView is, I'll give it the biggest wrap in the world. I think everyone should be using it.

We've never had a dollar of outside investment. And what we quickly realized is just because something looks good in the past is not going to translate into results moving forward. So we had to identify a few inherent issues. I would say the biggest one we identified, as good as TradingView is, I'll give it the biggest wrap in the world. I think everyone should be using it.

It's an amazing software. But there's inherent issues with their backtesting system that does not allow you to see things clearly. Two of them, to give you an example, is simply liquidity in the market. And also the actual indicators themselves and the historical data is not 100% accurate due to the way that candles open and close. So from there, we had to start our first hire.

It's an amazing software. But there's inherent issues with their backtesting system that does not allow you to see things clearly. Two of them, to give you an example, is simply liquidity in the market. And also the actual indicators themselves and the historical data is not 100% accurate due to the way that candles open and close. So from there, we had to start our first hire.

It's an amazing software. But there's inherent issues with their backtesting system that does not allow you to see things clearly. Two of them, to give you an example, is simply liquidity in the market. And also the actual indicators themselves and the historical data is not 100% accurate due to the way that candles open and close. So from there, we had to start our first hire.

And essentially, we had to hire a developer who understood how to write code in Python, because I definitely didn't. And we also had to hire a developer who understood a deep amount of knowledge on Pinescript. From there, we got him to build us our own in-house reprocessing system, a backtesting system, and added these functions that TradingView was missing.

And essentially, we had to hire a developer who understood how to write code in Python, because I definitely didn't. And we also had to hire a developer who understood a deep amount of knowledge on Pinescript. From there, we got him to build us our own in-house reprocessing system, a backtesting system, and added these functions that TradingView was missing.

And essentially, we had to hire a developer who understood how to write code in Python, because I definitely didn't. And we also had to hire a developer who understood a deep amount of knowledge on Pinescript. From there, we got him to build us our own in-house reprocessing system, a backtesting system, and added these functions that TradingView was missing.

This is when the light bulb moment happened, because we reran that strategy that looked really good on TradingView in our backtesting system, and it was basically losing all the time. So even though that was humbling and it was frustrating, we knew we actually had a vehicle here to start reprocessing accurate data and start to get the system to where it needed to be.

This is when the light bulb moment happened, because we reran that strategy that looked really good on TradingView in our backtesting system, and it was basically losing all the time. So even though that was humbling and it was frustrating, we knew we actually had a vehicle here to start reprocessing accurate data and start to get the system to where it needed to be.

This is when the light bulb moment happened, because we reran that strategy that looked really good on TradingView in our backtesting system, and it was basically losing all the time. So even though that was humbling and it was frustrating, we knew we actually had a vehicle here to start reprocessing accurate data and start to get the system to where it needed to be.

Now, from there, essentially, we started going deep on research because we saw this product had the ability to work. But the problem with the market is it's dynamic. It's not static, right? So the market goes up, the market goes down, and the market goes sideways. So our initial version could make money in very specific conditions of the market.

Now, from there, essentially, we started going deep on research because we saw this product had the ability to work. But the problem with the market is it's dynamic. It's not static, right? So the market goes up, the market goes down, and the market goes sideways. So our initial version could make money in very specific conditions of the market.

Now, from there, essentially, we started going deep on research because we saw this product had the ability to work. But the problem with the market is it's dynamic. It's not static, right? So the market goes up, the market goes down, and the market goes sideways. So our initial version could make money in very specific conditions of the market.

But when the market would change, it would start to struggle. What we actually did to start to get it to be able to flow with the market like it does now, we had to go deep into quantitative maths and essentially build a model based on math that could accurately trade the market.