You will get "Crypto Futures Analyzer – Long/Short Signal Generator for Traders"
Project details
This is a Python-based Crypto Futures Trading Analyzer that helps users evaluate live market conditions and predicts whether to go Long or Short based on technical analysis logic. Built with an intuitive GUI, it’s ideal for both beginners and experienced traders who want quick, reliable insights before placing futures trades.
🧠 Core Features:
🔄 Real-time crypto pair data fetch (e.g., BTC/USDT from Binance)
📈 Futures trading logic based on:
Entry Price vs. Current Price behavior
Upper and Lower limits calculation
Position classification (LONG, SHORT, or HOLD)
💰 Investment amount input with profit/loss forecasting
🖥️ Fully interactive GUI with analysis status
📊 Analysis result displayed clearly with actionable decision
Tech Stack Used:
Python 3
Tkinter for GUI
requests, pandas, math, Tensorflow,transformers,textblob,pytrends,sklearn
Binance public API for real-time data
🧠 Core Features:
🔄 Real-time crypto pair data fetch (e.g., BTC/USDT from Binance)
📈 Futures trading logic based on:
Entry Price vs. Current Price behavior
Upper and Lower limits calculation
Position classification (LONG, SHORT, or HOLD)
💰 Investment amount input with profit/loss forecasting
🖥️ Fully interactive GUI with analysis status
📊 Analysis result displayed clearly with actionable decision
Tech Stack Used:
Python 3
Tkinter for GUI
requests, pandas, math, Tensorflow,transformers,textblob,pytrends,sklearn
Binance public API for real-time data
Machine Learning Tools
Keras, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, Scrapy, Tableau, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$30
|
Standard
$75
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 9 days |
Number of Revisions | 1 | 2 | 3 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
About Muhammad
Artificial Intelligence, Machine Learning ,Data Analysis
Rawalpindi, Pakistan - 10:31 am local time
Passionate about solving real-world problems and actively pursuing opportunities to embrace new technologies.
Efficiency in python, computer Vision,data analysis and machine learning algorithms.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
🔹 1. Requirement Gathering & Confirmation
Review client’s input (trading pair, prediction goal, GUI needs). Clarify any confusion via Upwork messages. Lock in the selected model tier: Basic, Standard, or Premium.
🔹 2. Environment Setup & Base Framework
Set up Python virtual environment. Install all required libraries (Tkinter, pandas, sklearn, xgboost, etc.). Build and test the GUI layout (investment input, output label, etc.).