homebous/astra_ai

Analysis updated 2026-05-18

★ 1Audience · generalComplexity · 2/5Setup · easy

Mindmap

mindmap
  root((astra_ai))
    Modules
      Markets overview
      Signal lab
      Futures planning
      Portfolio view
      Meme coin discovery
    Features
      Paper trading
      Trade history review
      Sentiment news feed
      Security checks
    Data sources
      Bitget APIs
      CoinGecko
      DexScreener
      GoPlus
    Audience
      Crypto traders
      PMs and founders
      Vibe coders

mindmap root((astra_ai)) Modules Markets overview Signal lab Futures planning Portfolio view Meme coin discovery Features Paper trading Trade history review Sentiment news feed Security checks Data sources Bitget APIs CoinGecko DexScreener GoPlus Audience Crypto traders PMs and founders Vibe coders

Click or tap to explore — scroll the page freely

What do people build with it?

USE CASE 1

Use the Signal Lab module to check technical indicator signals for a crypto asset before deciding whether to enter a trade.

USE CASE 2

Practice a trading strategy using the paper trading feature to simulate real trades and review results in the history without risking money.

USE CASE 3

Use the Meme Hunter module to find trending low-cap tokens and run a GoPlus security check before buying.

What is it built with?

MuleRunBitget APICoinGeckoDexScreenerGoPlus

How does it compare?

	homebous/astra_ai	195516184-a11y/esp32-mcp-parenting-robot	a-bissell/unleash-lite
Stars	1	1	1
Language	—	—	Python
Setup difficulty	easy	moderate	hard
Complexity	2/5	3/5	4/5
Audience	general	general	researcher

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

The dashboard is a hosted web app at the URL in the README, this repo contains docs and data exports, not deployable code.

No license specified in the repository.

In plain English

Astra AI is a crypto trading dashboard that pulls market data from the Bitget exchange and presents it through several analysis modules in one place. The idea is to replace the habit of switching between multiple websites when researching a trade: instead of visiting separate tools for price charts, trading signals, news, and trade planning, this dashboard brings all of those into a single interface. The dashboard includes a markets overview for tracking live price movements, a signal lab that applies technical indicators to generate buy or sell signals, a futures module for planning leveraged trade setups, a portfolio view for spot holdings, a meme coin discovery section, and a news feed with sentiment updates. There is also a history section where past signals and trades are stored for review. A paper trading feature lets users simulate trades without putting real money at risk. You enter trade details, the system tracks whether the trade would have been profitable, and results are recorded in a history you can review later. The README includes CSV exports of paper trading sessions showing a small sample with seven trades and an 85.7 percent win rate, though this is a demonstration rather than a long-term track record. The project was built entirely using a platform called MuleRun, which is described as an AI-driven web workflow builder. The market data comes from Bitget's public APIs, with additional metadata from CoinGecko, token discovery from DexScreener, and security checks from GoPlus to flag honeypot contracts. The dashboard is hosted at a public URL listed in the README. The repository contains documentation, CSV exports, and development logs rather than deployable code. No license is specified.

Copy-paste prompts

Prompt 1

I want to build a crypto dashboard similar to Astra AI. Based on its Bitget API usage, write a Python script that fetches the top 20 spot market tickers by volume and prints price, change, and volume.

Prompt 2

Using the Astra AI signal history CSV format as a reference, design a database schema for storing AI-generated trading signals with entry, target, stop-loss, and outcome fields.

Prompt 3

I am building a paper trading simulator. Based on what Astra AI describes, write a simple Python class that records a trade entry, tracks whether the target or stop-loss is hit first, and computes PnL.

Frequently asked questions

What is astra_ai?

A crypto trading dashboard that combines live market data, AI-generated trading signals, futures planning, paper trading, and sentiment news in one place, built on Bitget APIs.

What license does astra_ai use?

No license specified in the repository.

How hard is astra_ai to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is astra_ai for?

Mainly general.

Open on GitHub → Explain another repo

This repo across BitVibe Labs

Scan in gitsafehub Deploy in gitdeployhub homebous on gitmyhub

Verify against the repo before relying on details.