Bitcoin Market Making Platform
Budget: $15 – $25 USD
Bitcoinner will be a live Bitcoin trading venue where automated bots handle all order flow through a market-making strategy. The goal is to keep tight spreads, provide continuous liquidity, and generate steady fees while managing risk in real time.
What I already have in mind
• Core trading engine that talks to major spot exchanges through WebSocket and REST
• Strategy layer that places, cancels, and reprices quotes every few seconds based on order book depth, inventory, and volatility
• Simple web dashboard that shows PnL, order book position, current inventory, and adjustable parameters such as target spread, size, and skew
• Configurable risk controls: max position, kill-switch, and latency checks
• Persistent logs plus basic alerting (email or Telegram) on failures and thresholds
What I need from you
Design, code, and document the entire bot workflow: connectivity, data handling, strategy logic, execution, and monitoring. I value clean, well-commented code, preferably in Python using libraries like CCXT, pandas, and asyncio, but I am open to another stack if you can justify the choice.
Acceptance criteria
1. Bot connects to at least one live BTC/USDT market, maintains two-sided quotes, and runs uninterrupted for 24 h on testnet.
2. Average spread and filled volume are logged and exportable as CSV.
3. Dashboard updates in real time with no page refresh.
4. All parameters can be edited on the fly and take effect within one trading cycle.
5. Full setup guide lets me redeploy on a fresh VPS in under an hour.
Please share any relevant repos or demos that prove prior experience with market-making or high-frequency crypto trading.
What I already have in mind
• Core trading engine that talks to major spot exchanges through WebSocket and REST
• Strategy layer that places, cancels, and reprices quotes every few seconds based on order book depth, inventory, and volatility
• Simple web dashboard that shows PnL, order book position, current inventory, and adjustable parameters such as target spread, size, and skew
• Configurable risk controls: max position, kill-switch, and latency checks
• Persistent logs plus basic alerting (email or Telegram) on failures and thresholds
What I need from you
Design, code, and document the entire bot workflow: connectivity, data handling, strategy logic, execution, and monitoring. I value clean, well-commented code, preferably in Python using libraries like CCXT, pandas, and asyncio, but I am open to another stack if you can justify the choice.
Acceptance criteria
1. Bot connects to at least one live BTC/USDT market, maintains two-sided quotes, and runs uninterrupted for 24 h on testnet.
2. Average spread and filled volume are logged and exportable as CSV.
3. Dashboard updates in real time with no page refresh.
4. All parameters can be edited on the fly and take effect within one trading cycle.
5. Full setup guide lets me redeploy on a fresh VPS in under an hour.
Please share any relevant repos or demos that prove prior experience with market-making or high-frequency crypto trading.
Related categories:
PHP
Python
Software Architecture
C++ Programming
Risk Management
Trading
Cryptocurrency
REST API