Financial Technology
Trading Bot Development
TradingView Integration
AI/ML Engineering
Dashboard Development

Apex Algorithmic Traders

Building a Custom Trading Platform That Generated $380K in 90 Days

Apex Algorithmic Traders project screenshot

The Challenge

Apex Algorithmic Traders had profitable manual trading strategies for BTC and ETH markets but couldn't scale due to human limitations: missed trades during off-hours, emotional decision-making, and inconsistent execution. They needed to automate their RSI divergence and volume profile strategies while maintaining the same risk management discipline that made them profitable manually.

Our Solution

We built a full-stack trading platform with three core components: (1) A Python-based execution engine connected to Binance via ccxt with sub-200ms order execution, (2) Custom TradingView Pine Script indicators with webhook-based signal delivery, and (3) An LSTM neural network layer that filters signals based on market regime detection. The platform includes a real-time monitoring dashboard with P&L tracking, trade journal, and automated risk management (dynamic position sizing, trailing stops, max drawdown circuit breakers). A 3-week paper trading validation phase confirmed the system performed within expected parameters before going live.

The Results

$382K

Total P&L (90 days)

Net profit after fees

68.4%

Win Rate

+12% vs manual trading

4.2%

Max Drawdown

-58% vs manual (was 10%)

1,847

Trades Executed

24/7 automated

The bot has been running for 3 months straight without a single issue. The ML signal filter alone improved our win rate by 12 percentage points. Daniel and Omar's team truly understands both trading and technology.

Carlos Gutierrez

Founder & Head Trader, Apex Algorithmic Traders

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