ProfitScout: Turning a Live Market Into Clear, Real-Time Trading Signals
Kuvaka partnered with ProfitScout to design and build an AI-driven stock screening and market-intelligence platform from the ground up — delivering real-time charting, intelligent scanners, and live signals for intraday and swing traders.
< 1s
Live market data latency
6
Timeframes synced in real-time
14 days
Concept to production
Setting the scene
Active traders live and die by timing. A signal that arrives a few seconds late, or a chart that lags the market, can be the difference between a clean entry and a missed move. Yet most retail traders are stuck switching between slow tools, noisy tip channels, and charts that don't quite agree with each other.
ProfitScout set out to fix that with a single promise: profit-driven trading, simplified. The vision was an app that watches the whole market in real time, highlights the setups that matter, and explains them in plain terms — so both new and experienced traders can act with confidence instead of guesswork.
Delivering on that promise is, at its core, a serious engineering problem. It means moving huge volumes of live market data through a system every second, without delay, while keeping charts, scanners, and alerts perfectly in sync. That is where Kuvaka came in. As ProfitScout's end-to-end development partner, we translated an ambitious trading vision into a fast, reliable, real-time product.
What we were up against
Speed is the product
A trading tool that isn't real time isn't useful. Every tick from the market had to be captured, processed, and pushed to the user's screen with minimal delay, even during the busiest moments of the trading day.
Many views of the same truth
Traders don't look at one timeframe — they look at several at once. The same live data had to power six timeframes simultaneously, all updating together and all telling a consistent story.
Live now, but also remembered
Charts need history. The platform had to serve years of past price action for context while still streaming the current moment — a system that handles both 'live' and 'look-back' without slowing down.
Signal, not noise
The real value wasn't raw data — it was interpretation. We needed scanners that continuously watch the market and surface meaningful setups the instant they appear.
Built to grow
A trading product can go from quiet to overwhelmed in seconds when the market moves. The architecture had to stay fast and stable as both the market and the user base grew.
Building the strategy
Start with the trader, not the tech
We mapped how real traders make decisions during a live session — what they watch, when they act, and where existing tools let them down. That shaped every priority that followed.
Design the data pipeline first
Because speed was the product, we treated the real-time data flow as the core of the system, not an add-on. Everything else was built on top of a pipeline designed to stay fast under load.
Layer intelligence on top of clean data
Once live and historical data were flowing reliably, we built the scanning and signal logic that gives ProfitScout its edge — the difference between a chart app and a market-intelligence platform.
How we got it done
Discovery and scoping
We worked closely with the ProfitScout team to define the product, the must-have modules, and a realistic delivery roadmap.
Real-time engineering
We built a streaming pipeline that ingests live market data, organises it into a purpose-built time-series store, and continuously turns raw ticks into clean candles across every timeframe.
Live broadcast layer
We created a low-latency broadcast system that pushes live prices and candles straight to users' screens the moment they update, alongside fast access to historical data for context.
Scanners, journal, and alerts
On top of the data layer we delivered the trader-facing tools: market scanners, personalised watchlists with alerts, and a trading journal to log and review performance.
Iterate, harden, support
We tuned the system for stability during peak market hours and continue to support and evolve the platform as the roadmap grows.
The tech behind the speed
Streaming pipeline — Python + Kafka
A high-throughput streaming layer ingests live market data and moves it through the system reliably, even at peak volume.
Time-series storage — TimescaleDB
A database purpose-built for time-stamped market data stores both raw ticks and finished candles, so the platform can serve live and historical views efficiently.
Real-time aggregation
A continuous aggregation layer converts incoming ticks into candles across one-minute to one-hour intervals, keeping every timeframe in sync.
Low-latency broadcast — WebSockets
A dedicated real-time channel streams live ticks and candles directly to users with minimal delay.
Application data — PostgreSQL + Redis
Reliable storage for user accounts, watchlists, journals, and settings, with caching to keep everything responsive.
Background processing — Celery
Scheduled and background jobs handle data work and alerts without slowing the live experience.
What we achieved together
A real-time product, delivered
ProfitScout launched as a genuinely live charting and scanning platform, with prices and signals that update in real time across all key timeframes.
Noise turned into signal
Continuous scanners and alerts give traders a curated view of the market, helping them spot opportunities faster and with more confidence.
Built for both ends of the spectrum
The experience works for newcomers following guided walkthroughs and for seasoned traders who want fast, precise tools.
A foundation ready to grow
The streaming architecture supports today's features and is built to expand as ProfitScout adds new scanners, markets, and capabilities.
“We came to Kuvaka with a hard real-time problem and a big vision. They didn't just build features — they engineered the live data backbone that makes the whole product feel instant. Our users keep telling us how fast and clear it is, and that speed is exactly what Kuvaka delivered.”
Founder, ProfitScout
Ready to be next?
Tell us what you are building and we will scope a sprint that ships to production in 7 days — or you pay nothing.
