High Accuracy Binary Signal Bot Creation
Budget: ₹1,500 – ₹12,500 INR
Project Title:
trading signal bot a High-Accuracy Binary Signal Bot for 1min, 3min, and 5min Timeframes
Project Description:
I am looking to build a powerful binary options signal bot that can generate highly accurate UP/DOWN signals for 1-minute, 3-minute, and 5-minute timeframes.
I have over 20 years of historical data in CSV format, organized by currency pairs (contained in a ZIP file). The goal is to train a reliable model that can analyze patterns and generate strong predictive signals in real-time.
IMPORTANT: This is a result-based project. Final payment will only be released if the developed bot delivers verified live accuracy of 90% or above on real market data. If the accuracy is below this, the project will be considered incomplete.
Scope of Work:
Build and train an AI/ML model (LSTM, XGBoost, or other suitable hybrid models)
Integrate technical indicators such as RSI, MACD, EMA, ADX, and Bollinger Bands
Preprocess and clean the dataset, perform feature engineering
Train the model to deliver the highest possible prediction accuracy
Build a prediction script or GUI/API for real-time signal output
Include multi-timeframe signal filtering logic (1min, 3min, 5min alignment)
Add backtesting capability to verify model performance
(Optional) Integrate auto-click/auto-trade feature with a broker/platform
User Interface Requirements:
Clean, responsive GUI-based interface
Display live signals with timeframes (1min, 3min, 5min)
Show current prediction, confidence score, and result status
Connect to live market feed using API
Display signal history and performance stats in the UI
(Optional) Include filters, sort options, and signal status visualization
Recommended AI/ML Models for Financial Signal Prediction:
LSTM (Long Short-Term Memory)
GRU (Gated Recurrent Unit)
XGBoost / LightGBM
Random Forest / Gradient Boosting
Temporal Convolutional Networks (TCN)
Transformer-based models
Hybrid models using indicators + ML
Requirements:
Proven experience with time-series modeling and binary classification
Expert in Python, with experience using TensorFlow/Keras, PyTorch, or Scikit-learn
Experience in financial trading data and strategies
Skilled in building GUI applications (Tkinter, PyQt, or web-based)
Ability to handle large datasets efficiently
Must deliver clean, modular, and documented code
Good communication in English (Gujarati is a plus)
Deliverables:
Functional and accurate binary signal bot with GUI
All scripts for model training and prediction
Full source code with setup instructions
Verified signal accuracy and backtesting reports
trading signal bot a High-Accuracy Binary Signal Bot for 1min, 3min, and 5min Timeframes
Project Description:
I am looking to build a powerful binary options signal bot that can generate highly accurate UP/DOWN signals for 1-minute, 3-minute, and 5-minute timeframes.
I have over 20 years of historical data in CSV format, organized by currency pairs (contained in a ZIP file). The goal is to train a reliable model that can analyze patterns and generate strong predictive signals in real-time.
IMPORTANT: This is a result-based project. Final payment will only be released if the developed bot delivers verified live accuracy of 90% or above on real market data. If the accuracy is below this, the project will be considered incomplete.
Scope of Work:
Build and train an AI/ML model (LSTM, XGBoost, or other suitable hybrid models)
Integrate technical indicators such as RSI, MACD, EMA, ADX, and Bollinger Bands
Preprocess and clean the dataset, perform feature engineering
Train the model to deliver the highest possible prediction accuracy
Build a prediction script or GUI/API for real-time signal output
Include multi-timeframe signal filtering logic (1min, 3min, 5min alignment)
Add backtesting capability to verify model performance
(Optional) Integrate auto-click/auto-trade feature with a broker/platform
User Interface Requirements:
Clean, responsive GUI-based interface
Display live signals with timeframes (1min, 3min, 5min)
Show current prediction, confidence score, and result status
Connect to live market feed using API
Display signal history and performance stats in the UI
(Optional) Include filters, sort options, and signal status visualization
Recommended AI/ML Models for Financial Signal Prediction:
LSTM (Long Short-Term Memory)
GRU (Gated Recurrent Unit)
XGBoost / LightGBM
Random Forest / Gradient Boosting
Temporal Convolutional Networks (TCN)
Transformer-based models
Hybrid models using indicators + ML
Requirements:
Proven experience with time-series modeling and binary classification
Expert in Python, with experience using TensorFlow/Keras, PyTorch, or Scikit-learn
Experience in financial trading data and strategies
Skilled in building GUI applications (Tkinter, PyQt, or web-based)
Ability to handle large datasets efficiently
Must deliver clean, modular, and documented code
Good communication in English (Gujarati is a plus)
Deliverables:
Functional and accurate binary signal bot with GUI
All scripts for model training and prediction
Full source code with setup instructions
Verified signal accuracy and backtesting reports