Intelligent Auto Trading Bot for Binary Options
Budget: ₹12,500 – ₹37,500 INR
I'm looking for a skilled developer to create an auto trading bot for me that operates on QUotex, Binomo, and Pocket Option platforms with the following features:
#### **Key Requirements:**
1. **Trading Modes:**
- **Safe Mode:** Low-risk trades focusing on consistent small gains.
- **Aggressive Mode:** Higher risk, aiming for larger profits.
- **Compounding Mode:** Sequential trades designed for exponential profit growth within a session.
2. **Market Compatibility:**
- Works on **OTC** and **Real Markets** seamlessly.
3. **Broker Integration:**
- Support for **multiple brokers** or **multiple accounts** simultaneously.
4. **High Accuracy Trades Only:**
- Bot should execute trades only if the probability of success is **80% or higher**.
- Low-probability setups should be ignored.
5. **Profit and Risk Management:**
- Include **money management sheets** for tracking performance.
- Configurable **target profit** and **stop-loss (SL)** per session.
- Daily profit expectation: **15% or higher**.
#### **Additional Features (Preferred):**
- **User Dashboard:**
- Select modes, view trade history, and manage accounts in one place.
- **Risk Management Options:**
- Define max daily trades, risk per trade, or capital allocation.
- **Customizable Indicators:**
- Allow users to configure or add indicators for strategy refinement.
- **Alerts/Logs:**
- Notify users of trades executed, skipped, or flagged for review.
- Implement AI-based algorithms to enhance the accuracy of trade predictions.
- Include a backtesting feature to test and optimize strategies using historical data.
- Incorporate multi-timeframe analysis to improve trade decision-making processes.
- Provide detailed trade performance metrics for better strategy assessment and adjustment.
- Add customizable risk control settings to manage trade exposure and loss limits effectively.
- Allow users to create and use custom trade signals tailored to their preferred strategies.
- Incorporate automated portfolio management for a balanced approach to trading and investment.
#### **Budget Consideration:**
- The budget for this project is **limited**, so the solution must be cost-effective while maintaining functionality and performance.
---
### **Additional Suggestions?**
Let me know if any of these should be added or removed:
1. Backtesting capability for refining strategies before live trading.
2. Real-time updates on the probability of success for each trade.
3. A mobile app or web version for remote monitoring.
#### **Key Requirements:**
1. **Trading Modes:**
- **Safe Mode:** Low-risk trades focusing on consistent small gains.
- **Aggressive Mode:** Higher risk, aiming for larger profits.
- **Compounding Mode:** Sequential trades designed for exponential profit growth within a session.
2. **Market Compatibility:**
- Works on **OTC** and **Real Markets** seamlessly.
3. **Broker Integration:**
- Support for **multiple brokers** or **multiple accounts** simultaneously.
4. **High Accuracy Trades Only:**
- Bot should execute trades only if the probability of success is **80% or higher**.
- Low-probability setups should be ignored.
5. **Profit and Risk Management:**
- Include **money management sheets** for tracking performance.
- Configurable **target profit** and **stop-loss (SL)** per session.
- Daily profit expectation: **15% or higher**.
#### **Additional Features (Preferred):**
- **User Dashboard:**
- Select modes, view trade history, and manage accounts in one place.
- **Risk Management Options:**
- Define max daily trades, risk per trade, or capital allocation.
- **Customizable Indicators:**
- Allow users to configure or add indicators for strategy refinement.
- **Alerts/Logs:**
- Notify users of trades executed, skipped, or flagged for review.
- Implement AI-based algorithms to enhance the accuracy of trade predictions.
- Include a backtesting feature to test and optimize strategies using historical data.
- Incorporate multi-timeframe analysis to improve trade decision-making processes.
- Provide detailed trade performance metrics for better strategy assessment and adjustment.
- Add customizable risk control settings to manage trade exposure and loss limits effectively.
- Allow users to create and use custom trade signals tailored to their preferred strategies.
- Incorporate automated portfolio management for a balanced approach to trading and investment.
#### **Budget Consideration:**
- The budget for this project is **limited**, so the solution must be cost-effective while maintaining functionality and performance.
---
### **Additional Suggestions?**
Let me know if any of these should be added or removed:
1. Backtesting capability for refining strategies before live trading.
2. Real-time updates on the probability of success for each trade.
3. A mobile app or web version for remote monitoring.