I Shipped 4 Features in One Day. Here's What I Learned About Compound Momentum.

December 5, 2025 - Building Trader-7 in Public

Yesterday, I woke up with one bug to fix. I went to bed with 4 new features, 8 new files, and 41 passing tests.

What happened in between changed how I think about solo development.

The Domino Effect

It started with a simple observation: my trading bot kept re-entering SOL shorts immediately after getting stopped out. Same coin, same direction, same result. The bot was revenge trading - and I was letting it.

Sprint 19 was born: a 4-hour cooldown after any stop loss. Simple. Targeted. Shipped in under an hour.

But fixing that revealed something else.

When One Fix Exposes Another

With the cooldown in place, I noticed failed API calls were silently skipping coins entirely. A single timeout meant missing opportunities for hours.

Sprint 20: A 5-minute retry cycle for failed market data. Another hour, another fix.

But now I could see patterns I couldn't see before.

The Visibility Multiplier

With revenge trading blocked and retry logic in place, I wanted to understand when these things happened. How often? Which coins?

Sprint 21 turned into an analytics overhaul:

Trade frequency per symbol
Loss streak tracking
9 timeframes from 4-hour to lifetime
MFE/MAE tracking (how much profit did I leave on the table?)

Three hours. Nine new dashboard sections. Finally, real visibility.

And that visibility revealed the biggest opportunity.

The Insight That Changed Everything

MFE data showed something uncomfortable: my take-profit levels were wrong.

In strong trends, I was exiting too early - leaving 30-40% of potential gains on the table.

In weak trends, I was holding too long - watching winners become losers.

Sprint 22 became the most complex yet:

Regime-Adaptive Take-Profits: The bot now reads ADX (trend strength) and adjusts targets dynamically. Strong trend? Let TP2 run to 3.5R. Weak trend? Take TP1 at 1.5R and move on.
Trailing Stops: After TP1 hits, the stop trails 1R behind price. Captures extended moves. Protects on reversals.

Seventeen new test cases. Two new modules. Four hours of focused work.

The Compound Effect

Here's what I learned:

Each sprint made the next one possible.

I couldn't build regime-adaptive TP without the analytics. I couldn't trust the analytics without the retry logic. I couldn't see the retry issues without the cooldown exposing the patterns.

This is compound momentum. Not just shipping fast - shipping in the right sequence.

The Numbers

What	Count
Sprints completed	4
New features	6
Files created	8
Tests added	41
Coins supported	7 (was 4)
Deployment issues	1 (15 min fix)

One Deployment Hiccup

Because it wouldn't be real without at least one "why is my app crash-looping" moment.

The deployment failed with no such table: schema_versions. Turns out my migration files were referencing a table that doesn't exist in the schema.

The fix took 15 minutes. The lesson was free: always test migrations against your actual database schema, not your assumptions.

For Fellow Builders

If you're building solo, here's what I'd pass on:

Start with the smallest fix. It will reveal the next one.
Visibility enables optimization. You can't improve what you can't measure. Add the analytics before you add the features.
Sequence matters. The right order turns a bug hunt into a feature cascade.
41 tests meant zero production surprises. Write the tests. Every time.
Compound momentum is real. Some days you ship one thing. Some days you ship four. The difference is often what you shipped yesterday.

Tomorrow, I'm watching these new features run live. Regime-adaptive TP. Trailing stops. Nine new analytics panels.

Today, I'm grateful for the revenge trading bug that started it all.

Trader-7 is an AI-powered crypto trading system being built in public. Follow along as we turn paper trading lessons into production code.

Day Summary:

Sprints completed: 19, 20, 21, 22
Hours invested: ~8
Test cases: 41/41 passing
Production status: Deployed and monitoring

Crypto Trading Agent - Shipped 4 Features in One Day. Here's What I Learned.