Quotex Signal Bot Development
Budget: $250 – $750 USD
I need a fully automated signal generator for the Quotex platform that works in both OTC and real-time market hours. The bot must push reliable entry and exit alerts with a target accuracy of at least 90 %. Core logic should combine Moving Average crossovers with Relative Strength Index (RSI) thresholds; you are welcome to layer extra filters if they help sustain the win-rate without adding heavy latency.
Key needs
• Runs on my desktop or a lightweight web panel and lets me choose asset, timeframe, and whether I’m in the OTC or live session.
• Real-time notifications—Telegram, e-mail, or an in-app pop-up—containing direction, strike price, expiry time, and confidence level.
• Built-in back-testing or forward demo mode so we can confirm 90 %+ accuracy over at least 100 trades before final hand-off.
• Clean, well-commented source code plus a concise setup guide so I can tweak Moving Average lengths and RSI parameters on my own.
Acceptance criteria
1. One-week live or demo trial meets or beats the stated accuracy.
2. Signals arrive fast enough for practical execution on Quotex.
3. All documentation and source code are delivered and compile/run without error on a standard Windows machine (Python preferred, but I’m flexible).
If you have prior experience building signal engines or trading bots, especially for fixed-time platforms like Quotex, I’d love to see a quick demo or repo link when we start.
Key needs
• Runs on my desktop or a lightweight web panel and lets me choose asset, timeframe, and whether I’m in the OTC or live session.
• Real-time notifications—Telegram, e-mail, or an in-app pop-up—containing direction, strike price, expiry time, and confidence level.
• Built-in back-testing or forward demo mode so we can confirm 90 %+ accuracy over at least 100 trades before final hand-off.
• Clean, well-commented source code plus a concise setup guide so I can tweak Moving Average lengths and RSI parameters on my own.
Acceptance criteria
1. One-week live or demo trial meets or beats the stated accuracy.
2. Signals arrive fast enough for practical execution on Quotex.
3. All documentation and source code are delivered and compile/run without error on a standard Windows machine (Python preferred, but I’m flexible).
If you have prior experience building signal engines or trading bots, especially for fixed-time platforms like Quotex, I’d love to see a quick demo or repo link when we start.