CekRego Terminal

CekRego Terminal: High-precision crypto futures co-pilot powered by Gemini 3. Neural grounding for the modern scalper.

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💡 Inspiration

In the high-stakes world of Crypto Futures and Scalping, seconds are the difference between a liquidating loss and a massive win.\ While retail traders are stuck staring at lagging indicators like RSI or MACD, institutional desks rely on quantitative analysts to process sentiment, order flow, and macro-economics in real time.

We were inspired to level the playing field.

We wanted to build a Neural Co-Pilot --- a system that doesn't just display data, but reasons through it.

CekRego AI Terminal was born from merging:

  • the raw speed of Gemini 3 Flash
  • the deep deductive reasoning of Gemini 3 Pro

to deliver an institutional-grade Neural Deck for traders.

🛠️ How We Built It

CekRego is built on a Neural-First Architecture composed of four main subsystems.

1. The Reasoning Engine

We utilized:

gemini-3-pro-preview

with a significant Thinking Budget.\ This allows the model to simulate multiple market scenarios before outputting a signal.

2. Real-Time Grounding

Crypto markets move faster than training data.

We integrated Google Search Grounding to fetch:

  • funding rates
  • liquidation maps
  • ETF flows
  • CPI data
  • breaking news

This ensures every signal is context-aware, not just statistically generated.

3. Multimodal Vision

Traders often see patterns that data alone can't describe.

Our Vision Module allows users to upload chart screenshots.\ The AI then analyzes:

  • candlestick structures
  • liquidity voids
  • breakout traps

directly from image pixels.

4. UI / UX

Built with React + Tailwind CSS, the interface mimics a high-performance trading terminal:

  • low-latency telemetry
  • instant feedback
  • mechanical sound cues

to create an immersive trading environment.

📈 Math & Risk Management

A core feature of CekRego is automated Risk-to-Reward calculation.

$$ Risk/Reward = \frac{TakeProfit - Entry}{Entry - StopLoss} $$

The AI rejects any trade setup where:

$$ R:R < 1.5 \quad (conservative) $$

or

$$ R:R < 2.5 \quad (aggressive) $$

This guarantees that even with only a 40% win rate, the trader remains mathematically profitable.

🚧 Challenges We Faced

Grounding Latency vs Accuracy

Early versions suffered from live price hallucinations.

We solved this using a dual-stream data flow:

Raw Telemetry - Real-time price & volume via CoinGecko SDK

Contextual Intelligence - Gemini grounded search verification

The AI now checks whether a move is: - news-driven - liquidation-driven - volatility-driven

Thinking Budget Optimization

Another challenge was managing the model's reasoning budget.

Initially, the AI spent too much compute on macro analysis while ignoring the scalping timeframe.

We solved it by: - restructuring system prompts - prioritizing timeframe-aware reasoning

🧠 What We Learned

The Gemini 3 Thinking Engine is a breakthrough for financial AI.

By exposing the Model Thought Stream inside the UI, we observed the AI identifying:

Liquidity Traps --- price movements designed to trigger clustered stop-loss orders before reversing.

This is a nuance typically mastered only by experienced traders.

🚀 What's Next?

CekRego is only the beginning.

Voice Trading (Gemini Live API)

A user will be able to say:

"Analyze the BTC breakout on the 5-minute chart and prepare a long position."

The terminal will: 1. run the analysis 2. present risk parameters 3. wait for verbal confirmation 4. execute the trade

🛠️ Tech Stack

AI

  • Google Gemini 3 Pro
  • Google Gemini 3 Flash

Frontend

  • React 19
  • TypeScript
  • Tailwind CSS

Data

  • CoinGecko SDK
  • Google Search Grounding

Charts

  • TradingView Lightweight Charts

Icons

  • Lucide React

Built With

  • coingeckosdk
  • google-gemini-3-flash
  • google-gemini-3-pro
  • google-search-grounding
  • lucide-react
  • react19
  • tailwind-css
  • tradingview-lightweight-charts
  • typescript
  • web-audio-api
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