TradeBit
Real-time arbitrage intelligence platform
Get Early Access
Private beta ยท Real-time Telegram alerts

Real-time crypto arbitrage intelligence across fragmented markets.

TradeBit is a real-time arbitrage intelligence platform designed to detect pricing inefficiencies across fragmented cryptocurrency markets. The system aggregates live market data from multiple exchanges, analyzes spreads, liquidity, fees, and transfer conditions, and delivers structured opportunities through a polished Telegram-first signal workflow.

๐Ÿ”” Arbitrage opportunity found! โ—
Gate โ†’ Bitget | TX/USDT
๐Ÿ›’ Buy
Price: 0.012826 USDT
๐Ÿ’ธ Sell
Price: 0.015000 USDT
๐Ÿ’ต Profit: 49.80 USDT
๐Ÿ’ฒ Spread: 16.95%
๐Ÿ’ฐ Volume: 300.0 USDT
โฌ‡๏ธ Withdrawal
โœ… Gate | โœ… Bitget
Network: TX
Fee: 0.000000 TX (โ‰ˆ$0.00)
12+
Exchange integrations
Real-time
Signal delivery
Beta
Current product stage
Cloud-ready
Deployment architecture
Problem

Crypto markets are fragmented and difficult to monitor manually.

The same asset can trade at different prices across exchanges, but real arbitrage depends on more than just spread. Fees, liquidity, transfer constraints, and execution speed all determine whether an opportunity is actually profitable.

Solution

TradeBit turns fragmented market data into actionable opportunity signals.

TradeBit combines multi-exchange market data, structured filtering, and Telegram delivery in one workflow. The beta product is focused on signal quality, reliable processing, and a clear path toward broader analytics and API-based integrations.

Traction

Early validation and growing usage.

120+

Users in private beta

5,000+

Signals generated

12+

Exchange integrations

Operational

Real-time signal delivery system

Platform foundation

Premium presentation with strong startup building blocks.

01

Arbitrage intelligence engine

Core platform logic designed to monitor fragmented crypto markets and surface actionable opportunities in real time.

REAL-TIME DATA
02

Low-latency cloud deployment

Single-instance AWS deployment for stable long-running processing, monitoring, and controlled scaling.

AWS READY
03

Telegram delivery layer

Fast user-facing notifications for traders, early beta users, and operational workflows.

USER DELIVERY
04

Signal filtering logic

Spread, fee, liquidity, and transfer-cost analysis to reduce noise and increase opportunity quality.

SMART FILTERING
05

Scalable product foundation

A multi-user product with subscriptions, persistent settings, shared market caches, and operational monitoring.

SAAS PLATFORM
06

Growth-focused roadmap

Roadmap supports public beta expansion, API access, automation workflows, and AI-based ranking.

STARTUP READY
Why now

From manual monitoring to scalable arbitrage intelligence.

Traditional workflow

Manual monitoring across fragmented exchanges
No unified spread, fee, and liquidity view
Slow reaction to short-lived opportunities
Hard to scale as users or exchange coverage grow
No structured cloud observability or analytics
โ†’

TradeBit platform

Automated multi-exchange arbitrage detection
Real-time analysis of spreads, fees, and transfer costs
Instant alert delivery through Telegram workflows
Cloud-oriented infrastructure designed to scale
Structured monitoring and product analytics on AWS
AWS infrastructure

AWS infrastructure for reliable beta operations.

TradeBit runs as a continuous Python service. The current deployment plan uses a compute-optimized EC2 instance, persistent EBS storage, SQLite in WAL mode, automated backups, and CloudWatch monitoring.

Amazon EC2 โ€” continuous market data processing
Amazon EBS gp3 โ€” persistent application and SQLite storage
Amazon CloudWatch โ€” logs, metrics, alarms, and observability
EBS snapshots โ€” scheduled database and volume backups
SQLite WAL mode โ€” concurrent beta user data access
Amazon RDS for PostgreSQL โ€” planned growth path
Deployment profile

Built for controlled beta scaling.

The application uses shared ticker workers, grouped scanner threads, in-memory caches, a watchdog, and health checks to reduce duplicate requests and recover cleanly after restarts.

Initial target: 4 vCPU, 8 GiB RAM, and 50 GiB of gp3 storage for final beta testing.
Current deployment

Infrastructure components.

Amazon EC2

Continuous market data processing and arbitrage calculations.

Amazon EBS gp3

Persistent SQLite data, application files, logs, and operating system storage.

EBS snapshots

Scheduled backups for recovery during beta testing and deployment updates.

Amazon CloudWatch

CPU, memory, disk, process health, logs, and operational alarms.

Technology

A polished technical stack for a cloud-backed product.

๐Ÿ
Python
Core platform language
๐Ÿ“ˆ
Exchange integrations
Market data connectivity
โšก
Real-time processing
Low-latency workflows
โ˜๏ธ
AWS infrastructure
Scalable deployment
๐Ÿ—„
Structured data layer
Analytics and storage
๐Ÿ””
Telegram delivery
User-facing alerts
๐Ÿ“Š
Observability
Monitoring and metrics
๐Ÿค–
AI roadmap
Future opportunity ranking
Who it is for

Built for startup growth, traders, and product expansion.

๐Ÿ””
Signal users

Telegram-first access to structured market opportunities with direct links to trading pairs.

๐Ÿ“Š
Traders

Actionable arbitrage intelligence without manually tracking multiple exchanges and transfer conditions.

๐Ÿง‘โ€๐Ÿ’ป
Automation builders

A platform foundation that can expand into APIs, workflows, and event-driven integrations.

๐Ÿš€
Early adopters

Users joining beta access and following the product as it evolves into a broader SaaS platform.

Status

Currently in beta with a clear expansion roadmap.

TradeBit is onboarding early users, refining signal quality, and building toward a broader product offering that includes automation and AI-based ranking.

Early users are already testing arbitrage alerts and platform workflows.
Roadmap

Growth milestones

Q2 2026AWS deployment and final beta testing
Q3 2026Public beta expansion and PostgreSQL evaluation
Q4 2026API access and opportunity-ranking experiments
FAQ

Frequently asked questions

What is TradeBit?
TradeBit is a real-time arbitrage intelligence platform designed to detect pricing inefficiencies across fragmented cryptocurrency markets.
Does TradeBit execute trades automatically?
No. TradeBit analyzes market data and sends alerts. Users review opportunities and make their own trading decisions.
Why does TradeBit use AWS?
AWS supports real-time processing, data storage, monitoring, analytics, and scalable infrastructure as the platform grows from beta users to broader adoption.
What stage is the product currently in?
TradeBit is currently in beta, onboarding early users and improving its signal quality, infrastructure design, and roadmap toward automation and AI-based ranking.
What infrastructure does the beta use?
The current beta deployment uses Amazon EC2, EBS gp3 storage, SQLite in WAL mode, EBS snapshots, and CloudWatch monitoring. PostgreSQL is planned for a later scaling stage.
Early access

Request access to TradeBit

Contact the TradeBit team for beta access, onboarding information, and product updates.

Contact

Private beta onboarding

Send a short message with your Telegram username and intended use. The team will respond with current beta availability.

mail@tradebit.site