TradingView & LuxAlgo ML Pump Predictor
Budget: $250 – $750 USD
I’m seeking an experienced developer to help create a custom trading system integrated with TradingView and the LuxAlgo premium toolkit. The goal is to set up automated alerts, create a watchlist of crypto pairs, and utilize machine learning to predict potential market pumps with specified parameters.
Key Tasks:
1. Watchlist Creation:
Compile a comprehensive list of all future trading pairs from Binance, OKX, and Bybit. Include only pairs against USDT. Give priority to Binance: if a pair exists on Binance, do not add it again from OKX or Bybit.
Add these pairs to a TradingView watchlist.
Export the watchlist to a file for use by the notification system.
2. LuxAlgo Notification Integration:
Integrate LuxAlgo Premium toolkit on TradingView.
Configure alerts based on user-defined settings and conditions.
3. Machine Learning Pump Prediction:
Implement a machine learning model to identify potential pumps of at least a 15% price increase.
Ensure the model accounts for a maximum 3% retracement from the entry price.
Integrate these predictions into the alert/notification system.
4. Signal & Alert System:
Set up a notification system (e.g., email, SMS, or another channel) that sends signals when conditions are met.
Configure alerts for multiple timeframes, from 15 minutes to 4 hours.
Integrate both LuxAlgo signals and ML predictions into a cohesive alert system.
5. Testing & Validation Phase:
Run a test phase once the system is ready to produce at least 30 signals.
Achieve a success rate over 82% based on the defined criteria (≥15% pump with ≤3% retracement).
Final acceptance of the project depends on meeting this performance benchmark.
Requirements:
Proven experience with TradingView and Pine Script.
Familiarity with LuxAlgo or similar trading indicators.
Proficiency in machine learning for time-series/financial market data.
Experience with APIs from Binance, OKX, and Bybit.
Ability to build or integrate a robust notification system.
Preferred Qualifications:
Experience in automated trading systems or bots.
Strong understanding of crypto market dynamics and technical analysis.
Excellent communication skills and detailed documentation practices.
Deliverables:
Fully functional TradingView setup with the created watchlist integrated.
LuxAlgo alerts and configurations successfully implemented.
ML model integrated for pump predictions.
Notification system dispatching signals upon triggered conditions.
Successful completion of a test phase (30 signals, >82% success rate).
How to Apply:
Share examples of similar projects you’ve completed.
Briefly outline your approach to the ML component.
Include your estimated timeline and budget, and how you plan to meet the testingcriteria.
Key Tasks:
1. Watchlist Creation:
Compile a comprehensive list of all future trading pairs from Binance, OKX, and Bybit. Include only pairs against USDT. Give priority to Binance: if a pair exists on Binance, do not add it again from OKX or Bybit.
Add these pairs to a TradingView watchlist.
Export the watchlist to a file for use by the notification system.
2. LuxAlgo Notification Integration:
Integrate LuxAlgo Premium toolkit on TradingView.
Configure alerts based on user-defined settings and conditions.
3. Machine Learning Pump Prediction:
Implement a machine learning model to identify potential pumps of at least a 15% price increase.
Ensure the model accounts for a maximum 3% retracement from the entry price.
Integrate these predictions into the alert/notification system.
4. Signal & Alert System:
Set up a notification system (e.g., email, SMS, or another channel) that sends signals when conditions are met.
Configure alerts for multiple timeframes, from 15 minutes to 4 hours.
Integrate both LuxAlgo signals and ML predictions into a cohesive alert system.
5. Testing & Validation Phase:
Run a test phase once the system is ready to produce at least 30 signals.
Achieve a success rate over 82% based on the defined criteria (≥15% pump with ≤3% retracement).
Final acceptance of the project depends on meeting this performance benchmark.
Requirements:
Proven experience with TradingView and Pine Script.
Familiarity with LuxAlgo or similar trading indicators.
Proficiency in machine learning for time-series/financial market data.
Experience with APIs from Binance, OKX, and Bybit.
Ability to build or integrate a robust notification system.
Preferred Qualifications:
Experience in automated trading systems or bots.
Strong understanding of crypto market dynamics and technical analysis.
Excellent communication skills and detailed documentation practices.
Deliverables:
Fully functional TradingView setup with the created watchlist integrated.
LuxAlgo alerts and configurations successfully implemented.
ML model integrated for pump predictions.
Notification system dispatching signals upon triggered conditions.
Successful completion of a test phase (30 signals, >82% success rate).
How to Apply:
Share examples of similar projects you’ve completed.
Briefly outline your approach to the ML component.
Include your estimated timeline and budget, and how you plan to meet the testingcriteria.