Blockchain / FinTech · Case Study

Automated Crypto Trading Bot

From backtests and dashboards to a live execution engine that actually trades.

Automated Crypto Trading Bot

The Challenge

The client had already tried three other development shops, each delivering backtests and dashboards but nothing that actually executed trades. They needed a real signal-to-execution pipeline connecting TradingView strategy signals to live order placement.

The Approach

We built custom Pine Script strategies (RSI, EMA, MACD) that fire TradingView webhooks into a Python Flask backend, which executes orders on Binance with correct lot sizing and stop logic. The system includes trade history logging and performance tracking, running as a real-time automated trading simulation on Binance testnet.

Key Capabilities

Custom Pine Script strategies (RSI, EMA, MACD)
TradingView webhook-to-Flask signal pipeline
Automated order execution with lot sizing & stop logic
Binance testnet integration
Trade history logging & performance tracking
Real-time automated trading simulation

Tech Stack

Pine ScriptFlaskBinance TestnetPython

The Result

97.2%

Signal Fill Rate — 214 Live Trades

I had tried three other dev shops before. The others gave me backtests and dashboards. This team gave me a live execution engine that actually trades. TradingView Pine Script webhooks fire into Flask, orders go to Binance with correct lot sizing and stop logic. In six weeks of live operation it executed 214 signals with a 97.2% fill rate.

Arjun Mehta
Independent Trader, Private Client

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