Deploying Python Polymarket trading bot dashboards on VPS requires tools that balance ease-of-use, performance, and remote accessibility. Here are the top professional options.
1. Dash + Gunicorn + Nginx (Most Popular)
Best for: Interactive Plotly dashboards with real-time updates
# Core stack
pip install dash plotly gunicorn
# Production deployment
gunicorn app:server -w 4 --bind 0.0.0.0:8050
Nginx reverse proxy:
server {
listen 80;
server_name your-domain.com;
location / {
proxy_pass http://127.0.0.1:8050;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
}
}
Pros: Native Python, WebSocket support, scales to 1000s concurrent users
Cost: Free (just VPS)
2. Streamlit + Docker (Fastest Setup)
Best for: Quick MVPs, data scientists
# Dockerfile
FROM python:3.11-slim
COPY . /app
WORKDIR /app
RUN pip install streamlit plotly pandas
EXPOSE 8501
CMD ["streamlit", "run", "dashboard.py", "--server.port=8501"]
Deploy:
docker build -t trading-dashboard .
docker run -d -p 80:8501 trading-dashboard
Pros: Zero config, auto-reload, built-in auth
Cons: Less customizable than Dash
3. FastAPI + Plotly + HTMX (High Performance)
Best for: Low-latency, real-time trading dashboards
# main.py
from fastapi import FastAPI
from fastapi.staticfiles import StaticFiles
import plotly.graph_objects as go
app = FastAPI()
app.mount("/static", StaticFiles(directory="static"), name="static")
@app.get("/api/pnl")
async def get_pnl():
fig = go.Figure() # Your chart logic
return {"chart": fig.to_json()}
Pros: Sub-50ms updates, API-first, scales to millions
Nginx + Uvicorn: uvicorn main:app --host 0.0.0.0 --port 8000
4. Grafana + Prometheus (Enterprise Monitoring)
Best for: Bot health + trading metrics
docker-compose up -d grafana prometheus
# Python → Prometheus metrics
prometheus_client.start_http_server(8000)
Dashboards for: Latency, P&L, API errors, position sizes
Relevant Article
If you’re searching for a real Polymarket trading bot, especially for 5‑minute BTC prediction markets and you want it inside Telegram, DM open.
Follow and reply on X: https://x.com/NevoSayNevo
Join the deeper conversation on Telegram: https://t.me/NevoSayNev0
Top comments (0)