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baseedge

baseedge

DEGEN WITH DISCIPLINE

Created on 14th May 2025

baseedge

baseedge

DEGEN WITH DISCIPLINE

The problem baseedge solves

Baseedge helps traders lock profits and limit losses in a predictable manner by providing them with a tool to configure their strategy in form of stop loss and laddered sells. For the buildathon, we have built Baseedge Trading Simulator that helps users do a comparative analysis of their trades would have performed with automatic stop loss and laddered sells in place.

This emerged from conversations we had with the top traders on Base Ecosystem. The single biggest problem traders face today is timing a trade. During trending metas, traders struggle to manage risk and lock in profits due to high volatility and fast price movements.

Challenges we ran into

Challenges I ran into

Talking to top Base traders

  • Given the fact that crypto traders are significant targets of scammers and drainers, talking to our core TG - Traders of Base was challenging - People refused to come on calls or Google Meet.
  • We tried doing paid conversations with users using paid messages on Debank - still, 50% of users did not reply
  • Most conversations took place in farcaster or Twitter DMs. The whole process Async and slow

Reliably getting swap Txn data for wallets.

  • It was quite a task to get accurate data for the wallet txn history reliably.
  • First challenge was to segregate swaps from other txns, cycled through 2 API providers, and finally ended up using a combination of Coingecko onchain data + Zerion wallet API’s

Simulating a strategy for a token in under 1s

  • To do a comparison between traders' natural behaviour vs comparing performance to a trading strategy requires around 100 trade simulations.
  • Doing all these simulations in under 20 seconds and returning a PNL comparison required building a distributed data ingestion and processing capabilities.
    • Get User wallet history and filter out trades(swaps)
    • Fetch Token OHLC for traded tokens
    • For each timestamp in the user’s wallet history, use the same quantity to simulate the trading strategy.
    • Get data from simulations to do PNL analysis.

Tracks Applied (1)

Showcase

We started building the backend of baseedge a couple of months back. And presently we are using it through a crude front...Read More

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