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I want you to crate me an ai app builder using all the advance ai on https://huggingface.co/spaces/ramcav/prompt-tool and also and help me finish my project I already started by accessing the prompts and told from https://hackernoon.ai/publishing I want to create the most powerful very advance trading ai that downloads file like this SMC_Advanced_Chartbook.pdf that are waiting for me to download for free on Telegram I want you to help me crate an ai that downloads everything from Telegram or get the access for my ai to have access to all the files under the Telegram downloads
AI ASSISTANT


THOUGHT
We are going to create an advanced AI application that integrates multiple components:
A system to download files from Telegram (specifically, we are interested in the SMC_Advanced_Chartbook.pdf and similar files).
Use of advanced AI models from Hugging Face, particularly leveraging the prompt engineering tool from the space: https://huggingface.co/spaces/ramcav/prompt-tool.
Building a trading AI that can process these downloaded files and use the insights for trading.
However, note that the project has several complex parts:
Accessing Telegram to download files: This requires interacting with Telegram's API. We can use the telethon library for this.
Processing PDF files: We will use a library like PyPDF2 or pdfplumber to extract text from the PDFs.
Using advanced AI models: We might use Hugging Face's transformers for NLP tasks, and we can integrate with the prompt engineering tool by using similar techniques or even by calling the Hugging Face Inference API.
Steps:
Set up Telegram Client:
We need to create a Telegram client using Telethon. This requires an API ID and API hash from https://my.telegram.org.
We will need to specify the channel or group from which to download the files.
Download Files from Telegram:
We will listen to a specific channel or group and download any new documents (PDFs) that are posted.
Process the PDF files:
Extract text from the PDFs.
Use AI models to analyze the text:
We can use Hugging Face models for summarization, question answering, or information extraction.
We can also use the prompt engineering techniques to get the most out of these models.
Trading AI:
This part is complex and requires domain knowledge. We might use the extracted information to generate trading signals.
We can consider using machine learning models (like time series forecasting) or rule-based systems based on the content.
Given the complexity, we'll break the project into manageable parts.
Let's outline the structure of the application:
telegram_downloader.py: Handles downloading files from Telegram.
pdf_processor.py: Processes the downloaded PDFs and extracts text.
ai_analyzer.py: Uses Hugging Face models to analyze the text and extract insights.
trading_ai.py: Uses the insights to generate trading signals (this is the core trading logic).
Additionally, we need a main application that ties everything together.
Since you've mentioned you already started, we'll try to integrate with what you have.
However, note: We cannot directly access your current code, so we'll write from scratch. You can adapt as needed.
Important: The trading logic is highly dependent on the content of the files and the type of trading. We'll focus on the infrastructure and leave the trading logic as a placeholder for you to fill in.
Let's start with the Telegram downloader.
Step 1: Setting up the Telegram Downloader
We'll use Telethon. Install it with: pip install telethon
Create a file telegram_downloader.py:
import os
from telethon.sync import TelegramClient
from telethon.tl.types import InputMessagesFilterDocument

class TelegramDownloader:
def __init__(self, api_id, api_hash, channel_name, download_dir='downloads'):
self.api_id = api_id
self.api_hash = api_hash
self.channel_name = channel_name
self.download_dir = download_dir
os.makedirs(download_dir, exist_ok=True)

def start(self):
with TelegramClient('anon', self.api_id, self.api_hash) as client:
# Ensure the channel is accessed
channel = client.get_entity(self.channel_name)
# Get all the documents
messages = client.get_messages(channel, filter=InputMessagesFilterDocument, limit=None)
for message in messages:
# Check if the message has a document
if message.document:
# Download the document
file_path = os.path.join(self.download_dir, message.file.name)
if not os.path.exists(file_path):
print(f"Downloading {message.file.name}...")
message.download_media(file=file_path)
print(f"Downloaded to {file_path}")
else:
print(f"File {message.file.name} already exists.")

You will need to set the environment variables for API_ID and API_HASH or pass them in.
Step 2: PDF Processor
Create pdf_processor.py:
import os
import pdfplumber

class PDFProcessor:
def __init__(self, pdf_directory):
self.pdf_directory = pdf_directory

def extract_text_from_pdf(self, pdf_path):
text = ""
with pdfplumber.open(pdf_path) as pdf:
for page in pdf.pages:
text += page.extract_text() + "\n"
return text

def process_all_pdfs(self):
pdf_texts = {}
for filename in os.listdir(self.pdf_directory):
if filename.endswith(".pdf"):
pdf_path = os.path.join(self.pdf_directory, filename)
print(f"Processing {filename}...")
pdf_texts[filename] = self.extract_text_from_pdf(pdf_path)
return pdf_texts

Step 3: AI Analyzer
We'll use Hugging Face transformers. Install with: pip install transformers
We are going to use a model for question answering or summarization. However, the prompt engineering tool at Hugging Face space uses a specific technique. We can try to mimic that by using a model that supports prompt-based generation, like T5 or GPT-2, but more advanced models like GPT-J or GPT-NeoX might be better.
Alternatively, we can use the Hugging Face Inference API if we want to use the exact model from the space. However, the space (ramcav/prompt-tool) uses a custom interface and it's not clear which model is behind it.
Since the space is private or not clearly documented, we'll use a state-of-the-art model for text generation: gpt2 for example, but we can switch to a more powerful one.
We are going to create a prompt-based text generator.
Create ai_analyzer.py:
from transformers import pipeline, set_seed

class AIAnalyzer:
def __init__(self, model_name='gpt2'):
self.generator = pipeline('text-generation', model=model_name)
set_seed(42)

def generate(self, prompt, max_length=100):
generated_text = self.generator(prompt, max_length=max_length, num_return_sequences=1)
return generated_text[0]['generated_text']

def analyze_text(self, text):
# We can design a prompt for trading insights
prompt = f"Given the following trading document: {text[:500]} ...\n\nExtract key trading insights:"
return self.generate(prompt, max_length=500)

Note: This is a simplistic approach. For a trading AI, we might want to extract specific information such as support/resistance levels, chart patterns, etc. We might need a custom model or a more tailored approach.
Step 4: Trading AI
This part will take the insights from the AIAnalyzer and make trading decisions. Since trading is complex and risky, we are only going to outline a placeholder.
Create trading_ai.py:
class TradingAI:
def __init__(self):
pass

def process_insights(self, insights):
# Here we would parse the insights and generate trading signals.
# This is highly domain-specific and requires careful implementation.
# For now, we just print the insights.
print("Received insights:")
print(insights)
# Placeholder: return a dummy signal
return "BUY" if "bullish" in insights.lower() else "SELL"

Step 5: Main Application
We tie everything together in main.py:
import os
from telegram_downloader import TelegramDownloader
from pdf_processor import PDFProcessor
from ai_analyzer import AIAnalyzer
from trading_ai import TradingAI

def main():
# Step 1: Download PDFs from Telegram
api_id = os.getenv('TELEGRAM_API_ID')
api_hash = os.getenv('TELEGRAM_API_HASH')
channel_name = 'trading_channel' # replace with your channel username

downloader = TelegramDownloader(api_id, api_hash, channel_name)
downloader.start()

# Step 2: Process PDFs
processor = PDFProcessor('downloads')
pdf_texts = processor.process_all_pdfs()

# Step 3: Analyze with AI
analyzer = AIAnalyzer()
trading_ai = TradingAI()

for filename, text in pdf_texts.items():
print(f"Analyzing {filename}...")
insights = analyzer.analyze_text(text)
signal = trading_ai.process_insights(insights)
print(f"Trading signal for {filename}: {signal}")

if __name__ == "__main__":
main()

Important Notes:
The Telegram API requires you to have an account and get API credentials.
The channel must be public or you must be a member of the private channel.
The current AI model (GPT-2) is not state-of-the-art and might not generate accurate insights. Consider using a more powerful model like gpt2-xl, gpt-neo, or even accessing the OpenAI API for GPT-3.5 or GPT-4.
The trading signal generation is a placeholder. You must replace it with a robust system, possibly involving numerical data extraction and backtesting.
This is a foundational structure. You can extend each component as needed.
For the Telegram downloader, you might want to run it continuously (as a daemon) to download new files as they come. You can modify the downloader to use an event loop.
For the AI model, you might want to use a model fine-tuned on financial documents. Hugging Face has some models in the model hub that are finance-specific.
Remember: Trading involves risk, and an AI system should be thoroughly back

Files changed (3) hide show
  1. README.md +8 -5
  2. dashboard.html +419 -0
  3. index.html +277 -18
README.md CHANGED
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  ---
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- title: Algogenius Traderbot
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- emoji: 📈
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- colorFrom: yellow
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- colorTo: red
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  sdk: static
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  pinned: false
 
 
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  ---
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
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  ---
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+ title: AlgoGenius TraderBot
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+ colorFrom: red
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+ colorTo: purple
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+ emoji: 🐳
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  sdk: static
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  pinned: false
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+ tags:
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+ - deepsite-v3
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  ---
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+ # Welcome to your new DeepSite project!
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+ This project was created with [DeepSite](https://deepsite.hf.co).
dashboard.html ADDED
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+ <!DOCTYPE html>
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+ <html lang="en">
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+ <head>
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+ <meta charset="UTF-8">
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+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
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+ <title>Dashboard - AlgoGenius TraderBot</title>
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+ <link rel="icon" type="image/x-icon" href="/static/favicon.ico">
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+ <script src="https://cdn.tailwindcss.com"></script>
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+ <script src="https://unpkg.com/feather-icons"></script>
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+ <script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
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+ <style>
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+ .sidebar {
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+ transition: all 0.3s ease;
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+ }
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+ .sidebar-collapsed {
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+ width: 5rem;
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+ }
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+ .sidebar-collapsed .nav-text {
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+ display: none;
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+ }
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+ .content {
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+ transition: margin-left 0.3s ease;
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+ }
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+ .card-hover {
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+ transition: all 0.3s ease;
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+ }
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+ .card-hover:hover {
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+ transform: translateY(-5px);
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+ box-shadow: 0 20px 25px -5px rgba(0, 0, 0, 0.1), 0 10px 10px -5px rgba(0, 0, 0, 0.04);
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+ }
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+ </style>
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+ </head>
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+ <body class="bg-gray-50">
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+ <div class="flex h-screen overflow-hidden">
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+ <!-- Sidebar -->
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+ <div class="sidebar bg-white w-64 border-r border-gray-200 flex flex-col">
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+ <div class="flex items-center justify-center h-16 px-4 border-b border-gray-200">
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+ <div class="flex items-center">
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+ <i data-feather="activity" class="h-6 w-6 text-primary-500"></i>
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+ <span class="ml-2 text-lg font-semibold text-gray-900">AlgoGenius</span>
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+ </div>
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+ </div>
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+ <div class="flex-grow overflow-y-auto">
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+ <nav class="px-2 py-4">
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+ <div class="space-y-1">
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+ <a href="#" class="bg-primary-50 text-primary-600 group flex items-center px-2 py-2 text-sm font-medium rounded-md">
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+ <i data-feather="home" class="text-primary-500 mr-3 h-5 w-5"></i>
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+ <span class="nav-text">Dashboard</span>
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+ </a>
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+ <a href="#" class="text-gray-600 hover:bg-gray-50 hover:text-gray-900 group flex items-center px-2 py-2 text-sm font-medium rounded-md">
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+ <i data-feather="bar-chart-2" class="text-gray-400 group-hover:text-gray-500 mr-3 h-5 w-5"></i>
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+ <span class="nav-text">Market Analysis</span>
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+ </a>
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+ <a href="#" class="text-gray-600 hover:bg-gray-50 hover:text-gray-900 group flex items-center px-2 py-2 text-sm font-medium rounded-md">
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+ <i data-feather="download" class="text-gray-400 group-hover:text-gray-500 mr-3 h-5 w-5"></i>
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+ <span class="nav-text">Telegram Feeds</span>
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+ </a>
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+ <a href="#" class="text-gray-600 hover:bg-gray-50 hover:text-gray-900 group flex items-center px-2 py-2 text-sm font-medium rounded-md">
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+ <i data-feather="cpu" class="text-gray-400 group-hover:text-gray-500 mr-3 h-5 w-5"></i>
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+ <span class="nav-text">AI Models</span>
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+ </a>
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+ <a href="#" class="text-gray-600 hover:bg-gray-50 hover:text-gray-900 group flex items-center px-2 py-2 text-sm font-medium rounded-md">
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+ <i data-feather="clock" class="text-gray-400 group-hover:text-gray-500 mr-3 h-5 w-5"></i>
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+ <span class="nav-text">Backtesting</span>
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+ </a>
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+ <a href="#" class="text-gray-600 hover:bg-gray-50 hover:text-gray-900 group flex items-center px-2 py-2 text-sm font-medium rounded-md">
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+ <i data-feather="settings" class="text-gray-400 group-hover:text-gray-500 mr-3 h-5 w-5"></i>
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+ <span class="nav-text">Settings</span>
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+ </a>
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+ </div>
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+ <div class="mt-8">
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+ <h3 class="px-3 text-xs font-semibold text-gray-500 uppercase tracking-wider">Recent Documents</h3>
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+ <div class="mt-2 space-y-1">
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+ <a href="#" class="group flex items-center px-3 py-2 text-sm font-medium text-gray-600 rounded-md hover:text-gray-900 hover:bg-gray-50">
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+ <i data-feather="file-text" class="mr-3 h-4 w-4 text-gray-400 group-hover:text-gray-500"></i>
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+ <span class="truncate nav-text">SMC_Advanced_Chartbook.pdf</span>
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+ </a>
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+ <a href="#" class="group flex items-center px-3 py-2 text-sm font-medium text-gray-600 rounded-md hover:text-gray-900 hover:bg-gray-50">
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+ <i data-feather="file-text" class="mr-3 h-4 w-4 text-gray-400 group-hover:text-gray-500"></i>
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+ <span class="truncate nav-text">Market_Analysis_Report.pdf</span>
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+ </a>
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+ </div>
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+ </div>
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+ </nav>
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+ </div>
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+ <div class="p-4 border-t border-gray-200">
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+ <button class="w-full flex items-center justify-center px-4 py-2 border border-transparent rounded-md shadow-sm text-sm font-medium text-white bg-primary-500 hover:bg-primary-600">
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+ <i data-feather="plus" class="mr-2 h-4 w-4"></i>
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+ <span class="nav-text">New Strategy</span>
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+ </button>
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+ </div>
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+ </div>
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+
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+ <!-- Main content -->
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+ <div class="content flex-1 overflow-auto">
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+ <!-- Top navigation -->
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+ <header class="bg-white shadow-sm">
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+ <div class="px-4 py-4 sm:px-6 lg:px-8 flex justify-between items-center">
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+ <div class="flex items-center">
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+ <button class="mr-4 text-gray-500 hover:text-gray-600 focus:outline-none">
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+ <i data-feather="menu"></i>
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+ </button>
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+ <h1 class="text-lg font-semibold leading-6 text-gray-900">Dashboard</h1>
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+ </div>
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+ <div class="flex items-center space-x-4">
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+ <div class="relative">
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+ <div class="absolute inset-y-0 left-0 pl-3 flex items-center pointer-events-none">
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+ <i data-feather="search" class="h-5 w-5 text-gray-400"></i>
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+ </div>
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+ <input type="text" class="block w-full pl-10 pr-3 py-2 border border-gray-300 rounded-md leading-5 bg-white placeholder-gray-500 focus:outline-none focus:ring-primary-500 focus:border-primary-500 sm:text-sm" placeholder="Search...">
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+ </div>
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+ <button class="p-1 text-gray-400 hover:text-gray-500 rounded-full">
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+ <i data-feather="bell"></i>
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+ </button>
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+ <div class="relative">
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+ <button class="flex items-center text-sm rounded-full focus:outline-none">
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+ <img class="h-8 w-8 rounded-full" src="http://static.photos/people/200x200/1" alt="User profile">
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+ </button>
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+ </div>
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+ </div>
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+ </div>
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+ </header>
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+
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+ <!-- Main content area -->
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+ <main class="p-4 sm:p-6 lg:p-8">
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+ <!-- Stats cards -->
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+ <div class="grid grid-cols-1 gap-5 sm:grid-cols-2 lg:grid-cols-4">
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+ <div class="card-hover bg-white overflow-hidden shadow rounded-lg">
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+ <div class="px-4 py-5 sm:p-6">
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+ <div class="flex items-center">
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+ <div class="flex-shrink-0 bg-primary-500 rounded-md p-3">
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+ <i data-feather="dollar-sign" class="h-6 w-6 text-white"></i>
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+ </div>
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+ <div class="ml-5 w-0 flex-1">
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+ <dl>
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+ <dt class="text-sm font-medium text-gray-500 truncate">Total Profit</dt>
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+ <dd class="flex items-baseline">
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+ <div class="text-2xl font-semibold text-gray-900">$24,582</div>
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+ <div class="ml-2 flex items-baseline text-sm font-semibold text-green-600">
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+ <i data-feather="trending-up" class="h-4 w-4"></i>
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+ <span class="sr-only">Increased by</span>12%
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+ </div>
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+ </dd>
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+ </dl>
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+ </div>
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+ </div>
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+ </div>
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+ </div>
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+
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+ <div class="card-hover bg-white overflow-hidden shadow rounded-lg">
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+ <div class="px-4 py-5 sm:p-6">
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+ <div class="flex items-center">
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+ <div class="flex-shrink-0 bg-green-500 rounded-md p-3">
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+ <i data-feather="check-circle" class="h-6 w-6 text-white"></i>
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+ </div>
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+ <div class="ml-5 w-0 flex-1">
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+ <dl>
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+ <dt class="text-sm font-medium text-gray-500 truncate">Win Rate</dt>
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+ <dd class="flex items-baseline">
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+ <div class="text-2xl font-semibold text-gray-900">72.4%</div>
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+ <div class="ml-2 flex items-baseline text-sm font-semibold text-green-600">
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+ <i data-feather="trending-up" class="h-4 w-4"></i>
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+ <span class="sr-only">Increased by</span>5.2%
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+ </div>
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+ </dd>
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+ </dl>
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+ </div>
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+ </div>
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+ </div>
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+ </div>
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+
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+ <div class="card-hover bg-white overflow-hidden shadow rounded-lg">
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+ <div class="px-4 py-5 sm:p-6">
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+ <div class="flex items-center">
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+ <div class="flex-shrink-0 bg-blue-500 rounded-md p-3">
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+ <i data-feather="activity" class="h-6 w-6 text-white"></i>
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+ </div>
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+ <div class="ml-5 w-0 flex-1">
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+ <dl>
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+ <dt class="text-sm font-medium text-gray-500 truncate">Active Strategies</dt>
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+ <dd class="flex items-baseline">
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+ <div class="text-2xl font-semibold text-gray-900">8</div>
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+ <div class="ml-2 flex items-baseline text-sm font-semibold text-red-600">
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+ <i data-feather="trending-down" class="h-4 w-4"></i>
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+ <span class="sr-only">Decreased by</span>1
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+ </div>
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+ </dd>
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+ </dl>
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+ </div>
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+ </div>
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+ </div>
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+ </div>
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+
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+ <div class="card-hover bg-white overflow-hidden shadow rounded-lg">
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+ <div class="px-4 py-5 sm:p-6">
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+ <div class="flex items-center">
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+ <div class="flex-shrink-0 bg-purple-500 rounded-md p-3">
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+ <i data-feather="clock" class="h-6 w-6 text-white"></i>
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+ </div>
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+ <div class="ml-5 w-0 flex-1">
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+ <dl>
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+ <dt class="text-sm font-medium text-gray-500 truncate">Avg Trade Duration</dt>
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+ <dd class="flex items-baseline">
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+ <div class="text-2xl font-semibold text-gray-900">2.4h</div>
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+ <div class="ml-2 flex items-baseline text-sm font-semibold text-green-600">
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+ <i data-feather="trending-up" class="h-4 w-4"></i>
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+ <span class="sr-only">Increased by</span>0.8h
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+ </div>
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+ </dd>
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+ </dl>
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+ </div>
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+ </div>
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+ </div>
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+ </div>
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+ </div>
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+
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+ <!-- Charts -->
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+ <div class="mt-8 grid grid-cols-1 gap-6 lg:grid-cols-2">
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+ <!-- Performance chart -->
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+ <div class="card-hover bg-white p-6 shadow rounded-lg">
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+ <h2 class="text-lg font-medium text-gray-900 mb-4">Portfolio Performance</h2>
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+ <canvas id="performanceChart" class="w-full h-64"></canvas>
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+ </div>
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+
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+ <!-- Market sentiment -->
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+ <div class="card-hover bg-white p-6 shadow rounded-lg">
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+ <h2 class="text-lg font-medium text-gray-900 mb-4">Market Sentiment Analysis</h2>
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+ <canvas id="sentimentChart" class="w-full h-64"></canvas>
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+ </div>
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+ </div>
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+
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+ <!-- Recent trades -->
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+ <div class="mt-8">
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+ <div class="flex items-center justify-between mb-4">
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+ <h2 class="text-lg font-medium text-gray-900">Recent Trades</h2>
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+ <a href="#" class="text-sm font-medium text-primary-600 hover:text-primary-500">View all</a>
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+ </div>
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+ <div class="card-hover bg-white shadow rounded-lg overflow-hidden">
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+ <div class="overflow-x-auto">
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+ <table class="min-w-full divide-y divide-gray-200">
241
+ <thead class="bg-gray-50">
242
+ <tr>
243
+ <th scope="col" class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Symbol</th>
244
+ <th scope="col" class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Direction</th>
245
+ <th scope="col" class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Entry</th>
246
+ <th scope="col" class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Exit</th>
247
+ <th scope="col" class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Profit</th>
248
+ <th scope="col" class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">Strategy</th>
249
+ </tr>
250
+ </thead>
251
+ <tbody class="bg-white divide-y divide-gray-200">
252
+ <tr>
253
+ <td class="px-6 py-4 whitespace-nowrap">
254
+ <div class="flex items-center">
255
+ <div class="flex-shrink-0 h-10 w-10">
256
+ <img class="h-10 w-10 rounded-full" src="http://static.photos/finance/200x200/1" alt="">
257
+ </div>
258
+ <div class="ml-4">
259
+ <div class="text-sm font-medium text-gray-900">BTC/USD</div>
260
+ <div class="text-sm text-gray-500">Bitcoin</div>
261
+ </div>
262
+ </div>
263
+ </td>
264
+ <td class="px-6 py-4 whitespace-nowrap">
265
+ <span class="px-2 inline-flex text-xs leading-5 font-semibold rounded-full bg-green-100 text-green-800">Long</span>
266
+ </td>
267
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">$42,356.78</td>
268
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">$43,812.45</td>
269
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-green-600 font-medium">+3.4%</td>
270
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">SMC Breakout</td>
271
+ </tr>
272
+ <tr>
273
+ <td class="px-6 py-4 whitespace-nowrap">
274
+ <div class="flex items-center">
275
+ <div class="flex-shrink-0 h-10 w-10">
276
+ <img class="h-10 w-10 rounded-full" src="http://static.photos/finance/200x200/2" alt="">
277
+ </div>
278
+ <div class="ml-4">
279
+ <div class="text-sm font-medium text-gray-900">ETH/USD</div>
280
+ <div class="text-sm text-gray-500">Ethereum</div>
281
+ </div>
282
+ </div>
283
+ </td>
284
+ <td class="px-6 py-4 whitespace-nowrap">
285
+ <span class="px-2 inline-flex text-xs leading-5 font-semibold rounded-full bg-red-100 text-red-800">Short</span>
286
+ </td>
287
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">$3,245.67</td>
288
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">$3,112.89</td>
289
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-green-600 font-medium">+4.1%</td>
290
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">AI Trend</td>
291
+ </tr>
292
+ <tr>
293
+ <td class="px-6 py-4 whitespace-nowrap">
294
+ <div class="flex items-center">
295
+ <div class="flex-shrink-0 h-10 w-10">
296
+ <img class="h-10 w-10 rounded-full" src="http://static.photos/finance/200x200/3" alt="">
297
+ </div>
298
+ <div class="ml-4">
299
+ <div class="text-sm font-medium text-gray-900">AAPL</div>
300
+ <div class="text-sm text-gray-500">Apple Inc</div>
301
+ </div>
302
+ </div>
303
+ </td>
304
+ <td class="px-6 py-4 whitespace-nowrap">
305
+ <span class="px-2 inline-flex text-xs leading-5 font-semibold rounded-full bg-green-100 text-green-800">Long</span>
306
+ </td>
307
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">$178.34</td>
308
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">$180.12</td>
309
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-green-600 font-medium">+1.0%</td>
310
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">Volume Spike</td>
311
+ </tr>
312
+ <tr>
313
+ <td class="px-6 py-4 whitespace-nowrap">
314
+ <div class="flex items-center">
315
+ <div class="flex-shrink-0 h-10 w-10">
316
+ <img class="h-10 w-10 rounded-full" src="http://static.photos/finance/200x200/4" alt="">
317
+ </div>
318
+ <div class="ml-4">
319
+ <div class="text-sm font-medium text-gray-900">TSLA</div>
320
+ <div class="text-sm text-gray-500">Tesla Inc</div>
321
+ </div>
322
+ </div>
323
+ </td>
324
+ <td class="px-6 py-4 whitespace-nowrap">
325
+ <span class="px-2 inline-flex text-xs leading-5 font-semibold rounded-full bg-red-100 text-red-800">Short</span>
326
+ </td>
327
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">$925.78</td>
328
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">$912.45</td>
329
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-red-600 font-medium">-1.4%</td>
330
+ <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">AI Reversal</td>
331
+ </tr>
332
+ </tbody>
333
+ </table>
334
+ </div>
335
+ </div>
336
+ </div>
337
+ </main>
338
+ </div>
339
+ </div>
340
+
341
+ <script>
342
+ // Initialize feather icons
343
+ feather.replace();
344
+
345
+ // Initialize charts
346
+ document.addEventListener('DOMContentLoaded', function() {
347
+ // Performance chart
348
+ const performanceCtx = document.getElementById('performanceChart').getContext('2d');
349
+ const performanceChart = new Chart(performanceCtx, {
350
+ type: 'line',
351
+ data: {
352
+ labels: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul'],
353
+ datasets: [{
354
+ label: 'Portfolio Value',
355
+ data: [10000, 11500, 12100, 13400, 14200, 15800, 16500],
356
+ backgroundColor: 'rgba(16, 185, 129, 0.1)',
357
+ borderColor: 'rgba(16, 185, 129, 1)',
358
+ borderWidth: 2,
359
+ tension: 0.3,
360
+ fill: true
361
+ }]
362
+ },
363
+ options: {
364
+ responsive: true,
365
+ maintainAspectRatio: false,
366
+ plugins: {
367
+ legend: {
368
+ display: false
369
+ }
370
+ },
371
+ scales: {
372
+ y: {
373
+ beginAtZero: false
374
+ }
375
+ }
376
+ }
377
+ });
378
+
379
+ // Sentiment chart
380
+ const sentimentCtx = document.getElementById('sentimentChart').getContext('2d');
381
+ const sentimentChart = new Chart(sentimentCtx, {
382
+ type: 'doughnut',
383
+ data: {
384
+ labels: ['Bullish', 'Neutral', 'Bearish'],
385
+ datasets: [{
386
+ data: [62, 23, 15],
387
+ backgroundColor: [
388
+ 'rgba(16, 185, 129, 0.8)',
389
+ 'rgba(156, 163, 175, 0.8)',
390
+ 'rgba(239, 68, 68, 0.8)'
391
+ ],
392
+ borderWidth: 0
393
+ }]
394
+ },
395
+ options: {
396
+ responsive: true,
397
+ maintainAspectRatio: false,
398
+ plugins: {
399
+ legend: {
400
+ position: 'right'
401
+ }
402
+ },
403
+ cutout: '70%'
404
+ }
405
+ });
406
+
407
+ // Collapse sidebar functionality
408
+ const sidebar = document.querySelector('.sidebar');
409
+ const toggleBtn = document.querySelector('header button');
410
+
411
+ toggleBtn.addEventListener('click', function() {
412
+ sidebar.classList.toggle('sidebar-collapsed');
413
+ document.querySelector('.content').classList.toggle('ml-20');
414
+ document.querySelector('.content').classList.toggle('ml-64');
415
+ });
416
+ });
417
+ </script>
418
+ </body>
419
+ </html>
index.html CHANGED
@@ -1,19 +1,278 @@
1
- <!doctype html>
2
- <html>
3
- <head>
4
- <meta charset="utf-8" />
5
- <meta name="viewport" content="width=device-width" />
6
- <title>My static Space</title>
7
- <link rel="stylesheet" href="style.css" />
8
- </head>
9
- <body>
10
- <div class="card">
11
- <h1>Welcome to your static Space!</h1>
12
- <p>You can modify this app directly by editing <i>index.html</i> in the Files and versions tab.</p>
13
- <p>
14
- Also don't forget to check the
15
- <a href="https://huggingface.co/docs/hub/spaces" target="_blank">Spaces documentation</a>.
16
- </p>
17
- </div>
18
- </body>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
19
  </html>
 
1
+ <!DOCTYPE html>
2
+ <html lang="en">
3
+ <head>
4
+ <meta charset="UTF-8">
5
+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
6
+ <title>AlgoGenius TraderBot - AI Trading Platform</title>
7
+ <link rel="icon" type="image/x-icon" href="/static/favicon.ico">
8
+ <script src="https://cdn.tailwindcss.com"></script>
9
+ <script src="https://unpkg.com/feather-icons"></script>
10
+ <script src="https://cdn.jsdelivr.net/npm/vanta@latest/dist/vanta.globe.min.js"></script>
11
+ <script src="https://cdn.jsdelivr.net/npm/animejs@3.2.1/lib/anime.min.js"></script>
12
+ <script>
13
+ tailwind.config = {
14
+ theme: {
15
+ extend: {
16
+ colors: {
17
+ primary: {
18
+ 100: '#d1fae5',
19
+ 500: '#10b981',
20
+ 900: '#064e3b',
21
+ },
22
+ secondary: {
23
+ 100: '#e0f2fe',
24
+ 500: '#0ea5e9',
25
+ 900: '#0c4a6e',
26
+ }
27
+ }
28
+ }
29
+ }
30
+ }
31
+ </script>
32
+ <style>
33
+ .hero-gradient {
34
+ background: linear-gradient(135deg, rgba(16,185,129,0.15) 0%, rgba(14,165,233,0.15) 100%);
35
+ }
36
+ .card-hover {
37
+ transition: all 0.3s ease;
38
+ }
39
+ .card-hover:hover {
40
+ transform: translateY(-5px);
41
+ box-shadow: 0 20px 25px -5px rgba(0, 0, 0, 0.1), 0 10px 10px -5px rgba(0, 0, 0, 0.04);
42
+ }
43
+ .typewriter {
44
+ border-right: 3px solid;
45
+ white-space: nowrap;
46
+ overflow: hidden;
47
+ animation: typing 3.5s steps(40, end), blink-caret 0.75s step-end infinite;
48
+ }
49
+ @keyframes typing {
50
+ from { width: 0 }
51
+ to { width: 100% }
52
+ }
53
+ @keyframes blink-caret {
54
+ from, to { border-color: transparent }
55
+ 50% { border-color: #10b981 }
56
+ }
57
+ </style>
58
+ </head>
59
+ <body class="bg-gray-50">
60
+ <div id="vanta-bg" class="fixed inset-0 z-0"></div>
61
+ <div class="relative z-10">
62
+ <!-- Navigation -->
63
+ <nav class="bg-white bg-opacity-90 backdrop-filter backdrop-blur-lg border-b border-gray-200">
64
+ <div class="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8">
65
+ <div class="flex justify-between h-16">
66
+ <div class="flex items-center">
67
+ <div class="flex-shrink-0 flex items-center">
68
+ <i data-feather="activity" class="h-8 w-8 text-primary-500"></i>
69
+ <span class="ml-2 text-xl font-bold text-gray-900">AlgoGenius</span>
70
+ </div>
71
+ <div class="hidden sm:ml-6 sm:flex sm:space-x-8">
72
+ <a href="#" class="border-primary-500 text-gray-900 inline-flex items-center px-1 pt-1 border-b-2 text-sm font-medium">Dashboard</a>
73
+ <a href="#" class="border-transparent text-gray-500 hover:border-gray-300 hover:text-gray-700 inline-flex items-center px-1 pt-1 border-b-2 text-sm font-medium">Strategies</a>
74
+ <a href="#" class="border-transparent text-gray-500 hover:border-gray-300 hover:text-gray-700 inline-flex items-center px-1 pt-1 border-b-2 text-sm font-medium">Telegram Feeds</a>
75
+ <a href="#" class="border-transparent text-gray-500 hover:border-gray-300 hover:text-gray-700 inline-flex items-center px-1 pt-1 border-b-2 text-sm font-medium">AI Models</a>
76
+ <a href="#" class="border-transparent text-gray-500 hover:border-gray-300 hover:text-gray-700 inline-flex items-center px-1 pt-1 border-b-2 text-sm font-medium">Backtesting</a>
77
+ </div>
78
+ </div>
79
+ <div class="hidden sm:ml-6 sm:flex sm:items-center">
80
+ <button class="bg-primary-500 hover:bg-primary-600 text-white px-4 py-2 rounded-md text-sm font-medium flex items-center">
81
+ <i data-feather="user" class="mr-2"></i> Connect Wallet
82
+ </button>
83
+ </div>
84
+ <div class="-mr-2 flex items-center sm:hidden">
85
+ <button type="button" class="inline-flex items-center justify-center p-2 rounded-md text-gray-400 hover:text-gray-500 hover:bg-gray-100 focus:outline-none focus:ring-2 focus:ring-inset focus:ring-primary-500">
86
+ <i data-feather="menu"></i>
87
+ </button>
88
+ </div>
89
+ </div>
90
+ </div>
91
+ </nav>
92
+
93
+ <!-- Hero Section -->
94
+ <div class="hero-gradient">
95
+ <div class="max-w-7xl mx-auto py-16 px-4 sm:py-24 sm:px-6 lg:px-8">
96
+ <div class="text-center">
97
+ <h1 class="text-4xl tracking-tight font-extrabold text-gray-900 sm:text-5xl md:text-6xl">
98
+ <span class="block">Next-Gen</span>
99
+ <span class="block text-primary-500 typewriter">Algorithmic Trading AI</span>
100
+ </h1>
101
+ <p class="mt-3 max-w-md mx-auto text-base text-gray-500 sm:text-lg md:mt-5 md:text-xl md:max-w-3xl">
102
+ Harnessing Telegram's financial resources and cutting-edge AI to automate your trading strategy.
103
+ </p>
104
+ <div class="mt-5 max-w-md mx-auto sm:flex sm:justify-center md:mt-8">
105
+ <div class="rounded-md shadow">
106
+ <a href="#" class="w-full flex items-center justify-center px-8 py-3 border border-transparent text-base font-medium rounded-md text-white bg-primary-500 hover:bg-primary-600 md:py-4 md:text-lg md:px-10">
107
+ Get Started
108
+ </a>
109
+ </div>
110
+ <div class="mt-3 rounded-md shadow sm:mt-0 sm:ml-3">
111
+ <a href="#" class="w-full flex items-center justify-center px-8 py-3 border border-transparent text-base font-medium rounded-md text-primary-500 bg-white hover:bg-gray-50 md:py-4 md:text-lg md:px-10">
112
+ Live Demo
113
+ </a>
114
+ </div>
115
+ </div>
116
+ </div>
117
+ </div>
118
+ </div>
119
+
120
+ <!-- Features Section -->
121
+ <div class="py-12 bg-white">
122
+ <div class="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8">
123
+ <div class="lg:text-center">
124
+ <h2 class="text-base text-primary-500 font-semibold tracking-wide uppercase">Features</h2>
125
+ <p class="mt-2 text-3xl leading-8 font-extrabold tracking-tight text-gray-900 sm:text-4xl">
126
+ AI-Powered Trading Ecosystem
127
+ </p>
128
+ </div>
129
+
130
+ <div class="mt-10">
131
+ <div class="grid grid-cols-1 gap-10 sm:grid-cols-2 lg:grid-cols-3">
132
+ <!-- Feature 1 -->
133
+ <div class="card-hover bg-gray-50 rounded-lg p-6">
134
+ <div class="flex items-center justify-center h-12 w-12 rounded-md bg-primary-500 text-white">
135
+ <i data-feather="download"></i>
136
+ </div>
137
+ <div class="mt-5">
138
+ <h3 class="text-lg leading-6 font-medium text-gray-900">Telegram Integration</h3>
139
+ <p class="mt-2 text-base text-gray-500">
140
+ Automatically download trading resources like SMC charts from Telegram channels and process them instantly.
141
+ </p>
142
+ </div>
143
+ </div>
144
+
145
+ <!-- Feature 2 -->
146
+ <div class="card-hover bg-gray-50 rounded-lg p-6">
147
+ <div class="flex items-center justify-center h-12 w-12 rounded-md bg-primary-500 text-white">
148
+ <i data-feather="cpu"></i>
149
+ </div>
150
+ <div class="mt-5">
151
+ <h3 class="text-lg leading-6 font-medium text-gray-900">Hugging Face AI</h3>
152
+ <p class="mt-2 text-base text-gray-500">
153
+ Leverage state-of-the-art NLP models to analyze market sentiment and extract trading signals from documents.
154
+ </p>
155
+ </div>
156
+ </div>
157
+
158
+ <!-- Feature 3 -->
159
+ <div class="card-hover bg-gray-50 rounded-lg p-6">
160
+ <div class="flex items-center justify-center h-12 w-12 rounded-md bg-primary-500 text-white">
161
+ <i data-feather="trending-up"></i>
162
+ </div>
163
+ <div class="mt-5">
164
+ <h3 class="text-lg leading-6 font-medium text-gray-900">Smart Execution</h3>
165
+ <p class="mt-2 text-base text-gray-500">
166
+ Our AI automatically executes trades with optimal timing based on multi-factor analysis.
167
+ </p>
168
+ </div>
169
+ </div>
170
+ </div>
171
+ </div>
172
+ </div>
173
+ </div>
174
+
175
+ <!-- CTA Section -->
176
+ <div class="bg-secondary-500">
177
+ <div class="max-w-7xl mx-auto py-12 px-4 sm:px-6 lg:py-16 lg:px-8 lg:flex lg:items-center lg:justify-between">
178
+ <h2 class="text-3xl font-extrabold tracking-tight text-white sm:text-4xl">
179
+ <span class="block">Ready to automate your trading?</span>
180
+ <span class="block text-primary-100">Start your free trial today.</span>
181
+ </h2>
182
+ <div class="mt-8 flex lg:mt-0 lg:flex-shrink-0">
183
+ <div class="inline-flex rounded-md shadow">
184
+ <a href="#" class="inline-flex items-center justify-center px-5 py-3 border border-transparent text-base font-medium rounded-md text-secondary-600 bg-white hover:bg-gray-50">
185
+ Get started
186
+ </a>
187
+ </div>
188
+ <div class="ml-3 inline-flex rounded-md shadow">
189
+ <a href="#" class="inline-flex items-center justify-center px-5 py-3 border border-transparent text-base font-medium rounded-md text-white bg-secondary-600 hover:bg-secondary-700">
190
+ Learn more
191
+ </a>
192
+ </div>
193
+ </div>
194
+ </div>
195
+ </div>
196
+
197
+ <!-- Footer -->
198
+ <footer class="bg-white">
199
+ <div class="max-w-7xl mx-auto py-12 px-4 overflow-hidden sm:px-6 lg:px-8">
200
+ <nav class="-mx-5 -my-2 flex flex-wrap justify-center" aria-label="Footer">
201
+ <div class="px-5 py-2">
202
+ <a href="#" class="text-base text-gray-500 hover:text-gray-900">About</a>
203
+ </div>
204
+ <div class="px-5 py-2">
205
+ <a href="#" class="text-base text-gray-500 hover:text-gray-900">Blog</a>
206
+ </div>
207
+ <div class="px-5 py-2">
208
+ <a href="#" class="text-base text-gray-500 hover:text-gray-900">Docs</a>
209
+ </div>
210
+ <div class="px-5 py-2">
211
+ <a href="#" class="text-base text-gray-500 hover:text-gray-900">Pricing</a>
212
+ </div>
213
+ </nav>
214
+ <div class="mt-8 flex justify-center space-x-6">
215
+ <a href="#" class="text-gray-400 hover:text-gray-500">
216
+ <i data-feather="twitter"></i>
217
+ </a>
218
+ <a href="#" class="text-gray-400 hover:text-gray-500">
219
+ <i data-feather="github"></i>
220
+ </a>
221
+ <a href="#" class="text-gray-400 hover:text-gray-500">
222
+ <i data-feather="linkedin"></i>
223
+ </a>
224
+ <a href="#" class="text-gray-400 hover:text-gray-500">
225
+ <i data-feather="telegram"></i>
226
+ </a>
227
+ </div>
228
+ <p class="mt-8 text-center text-base text-gray-400">
229
+ &copy; 2023 AlgoGenius TraderBot. All rights reserved.
230
+ </p>
231
+ </div>
232
+ </footer>
233
+ </div>
234
+
235
+ <script>
236
+ // Initialize Vanta.js background
237
+ VANTA.GLOBE({
238
+ el: "#vanta-bg",
239
+ mouseControls: true,
240
+ touchControls: true,
241
+ gyroControls: false,
242
+ minHeight: 200.00,
243
+ minWidth: 200.00,
244
+ scale: 1.00,
245
+ scaleMobile: 1.00,
246
+ color: 0x10b981,
247
+ backgroundColor: 0xf8fafc,
248
+ size: 0.8
249
+ });
250
+
251
+ // Initialize feather icons
252
+ feather.replace();
253
+
254
+ // Animation for features on scroll
255
+ document.addEventListener('DOMContentLoaded', function() {
256
+ const features = document.querySelectorAll('.card-hover');
257
+
258
+ const observer = new IntersectionObserver((entries) => {
259
+ entries.forEach(entry => {
260
+ if (entry.isIntersecting) {
261
+ anime({
262
+ targets: entry.target,
263
+ opacity: [0, 1],
264
+ translateY: [20, 0],
265
+ duration: 800,
266
+ easing: 'easeOutCubic'
267
+ });
268
+ }
269
+ });
270
+ }, { threshold: 0.1 });
271
+
272
+ features.forEach(feature => {
273
+ observer.observe(feature);
274
+ });
275
+ });
276
+ </script>
277
+ </body>
278
  </html>