We got tired of the noise.

Vespera started because we were frustrated.

Back in 2021, a few of us were trading full time — some at prop firms, others on our own. We kept running into the same problem: almost every signal service and trading tool we tried felt like it was built by people who had never actually put real money on the line.

The signals looked good on paper but often lacked real context. The bots had beautiful backtests but would blow up the moment market conditions changed. We got tired of hearing “it works in theory” from people who weren’t risking their own capital.

So we started building things for ourselves. At first it was just a few private scripts and a small signal group. Over time, other traders we respected started asking if they could use what we had made. We said yes — but only to people who we felt actually understood risk.

We never raised money. We never did a big marketing push. The business grew slowly, mostly through referrals. That’s still how most people find us today.

What we actually believe

• Most real edges in trading are small. We’d rather be consistently good than occasionally lucky.
• Risk management is more important than entry signals. A mediocre idea with excellent risk control usually beats a great idea with poor risk control.
• If we wouldn’t use something with our own money, we won’t sell it to you.
• Being honest about limitations is more valuable than sounding impressive.

Where we are today

We’re still a small team, split between London and Singapore. We’re not trying to become a big company. We like being small because it keeps us close to the markets and to the traders who actually use our tools.

Most of us still trade our own accounts every day. We believe this is important. It’s very easy to build trading tools when you’re not the one who has to live with the results. We try hard not to fall into that trap.

We work with a handful of prop firms and a growing number of independent traders. We’re selective about who we work with. Not because we’re trying to be exclusive, but because we’ve learned that our tools perform best when the person using them actually understands risk and position sizing.