Hackstreet Boys

Inspiration

With pro-crypto supporter Donald Trump likely returning to the White House, the markets are bracing for a bullish breakout as new legislative measures are approved. But where's the fun in riding the wave when you can surf against it? Our bot is designed to embrace failure head-on, because tough times make tough men. How can we truly grow without tasting the sweet bitterness of failure?

What It Does

This bot ignores everything traders swear by:

• RSI? Trash it.
• Moving Averages? Outdated.
• Volatility Analysis? Overrated.
• Support and Resistance? More like distraction and persistence.
• Volume Data? Noise.
• Sentiment Analysis? Who needs feelings?

Instead, it finds the quickest path to bankruptcy, leveraging inefficiency, flawed predictions, and blatantly terrible strategies to help you lose money as fast as physically possible.

How We Built It

We drew from years of experience in trading and turned every strategy on its head:

• Imported real-time data using the CoinCap API.
• Broke down key indicators and strategies to identify how they work—and then did the opposite.
• Analyzed two weeks of daily data to refine our "lose-it-all" algorithm.

Designed a model that systematically makes poor choices:

• Buys when RSI is overbought.
• Sells during market recoveries.
• Leverages high-volatility markets without stop losses.
• Chases after pump and dump scams.

The result? A bot so bad, it’s brilliant.

Challenges We Ran Into

• Finding an algorithm to consistently lose money isn’t as easy as it sounds.
• Analyzing vast amounts of data to ensure inefficiency required intense focus.
• Building a model that avoids the "accidental success syndrome."
• Validating failure required simulated trading with artificial currency to avoid real-world consequences.

Accomplishments That We're Proud Of

✅ Going against market trends. ✅ Building a bot that seems useless on the surface. ✅ Efficiently designing inefficiency. ✅ Prepping traders to handle losses with style by guaranteeing failure. ✅ Putting users in their UNCOMFORTABLE zone—and making them love it.

What We Learned

• Making a bot that fails is harder than making one that succeeds.
• Spending money is indeed faster than earning it.
• Trading is as much about psychology as it is about strategy.
• We may have gone insane, but it was worth it.

What’s Next for Hackstreet Boys

We will flip the logic of this bot to become a profit-maximizing machine and use its insights to identify bad trades and avoid them in the future. We will turn losses into lessons—and then into gains. We are prepared to get rich. Go big or go home.

Built With

• python