Crypto Research Analyst

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TYPE OF WORK

Part Time

SALARY

3

HOURS PER WEEK

2

DATE UPDATED

Aug 4, 2026

JOB OVERVIEW

# Crypto Trading Research & AI Bot Assistant

We are looking for a detail-oriented Virtual Assistant / Research Assistant interested in cryptocurrency, algorithmic trading, and AI automation.

This is a research and development role. You will help us research trading strategies, collect market data, test ideas, and assist with the development and testing of automated trading systems.

## Responsibilities

* Research cryptocurrency trading strategies
* Research technical indicators such as RSI, MACD, moving averages, volume and price action
* Find and compare existing trading strategies
* Collect and organize historical crypto market data
* Assist with backtesting trading strategies
* Compare strategy performance across different coins and timeframes
* Record results in Google Sheets
* Help test AI-assisted trading ideas
* Assist with testing Python-based trading bots
* Review bot logs and identify potential errors
* Help compare backtest and paper-trading results
* Research crypto exchange APIs and automation tools
* Document findings clearly

## Preferred Skills

* Cryptocurrency knowledge
* Trading / technical analysis knowledge
* Web research
* Google Sheets / Excel
* Basic data analysis
* Python is a strong advantage
* pandas / NumPy is a strong advantage
* Experience with TradingView is a plus
* Experience with APIs is a plus
* Experience with algorithmic trading or backtesting is a major advantage

## Important

This is NOT a role where you will be asked to trade personal funds or manage money.

The initial focus will be on:

Research ? Backtesting ? Paper Trading ? Testing ? Automation

We are interested in data-driven decision making rather than guessing which coin will go up.

## Paid Trial Task

As part of the trial, you will be asked to research 3 simple crypto trading strategies and create a clear comparison showing:

* Strategy rules
* Historical performance
* Number of trades
* Win rate
* Maximum drawdown
* Profit/loss
* Risk/reward
* Strengths and weaknesses
* Recommended market conditions
* Sources used

If you have Python skills, you may also be asked to create or modify a simple backtest.

Please include examples of previous trading research, Python projects, data analysis, or automation work if available.

This can become a long-term position for the right person.

SKILL REQUIREMENT
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