Day 17 – Automating the Grind

Day 17 – Automating the Grind

Mason woke up early, the first rays of sunlight peeking through his curtains. He sat up, feeling a surge of determination.

"Today's the day," he thought. "Time to automate."

Mason started his day with a quick protein shake and a banana. He skipped his usual gym session, knowing he'd need all his focus for the task ahead.

"Automation first," he muttered, sitting down at his computer. "Gym later."

Mason opened his browser and started researching automation tools. He typed in:

"How to automate dropshipping"

"Automated trading for beginners"

He spent the first hour reading articles, watching tutorials, and taking notes. Here's what he learned:

Dropshipping Automation:

Order Processing: Tools like Oberlo and Shopify Flow can automatically process orders and send them to suppliers.

Customer Service: Chatbots like Tidio or Zendesk can handle common customer inquiries.

Inventory Management: Apps like Inventory Source can sync stock levels and prevent overselling.

Trading Automation:

Algorithmic Trading: Platforms like MetaTrader or TradingView allow users to create and deploy trading bots.

APIs: Brokers like Alpaca or Interactive Brokers offer APIs for building custom trading algorithms.

Risk Management: Automated tools can set stop-loss and take-profit levels to minimize losses.

Mason jotted down the key points in his notebook, feeling both excited and overwhelmed.

Mason decided to tackle dropshipping first. He logged into his Shopify store and started exploring the available apps.

Step 1: Order Processing

He installed Oberlo, a popular dropshipping app. The setup was straightforward:

Connect his store to Oberlo.

Import products from suppliers.

Set up automatic order fulfillment.

"This is amazing," Mason thought as he tested the system. "Orders will now be processed automatically. No more manual work."

Step 2: Customer Service

Next, he installed Tidio, a chatbot app. He spent an hour setting up automated responses for common questions like:

"Where's my order?"

"Do you offer refunds?"

"How long does shipping take?"

"This will save me so much time," he muttered, testing the chatbot.

Step 3: Inventory Management

Finally, he installed Inventory Source to sync his stock levels. The app automatically updated his store whenever a supplier ran out of stock.

"No more overselling," Mason said, feeling a sense of accomplishment.

After a quick lunch (a turkey sandwich and an apple), Mason turned his attention to trading automation. He logged into his TradingView account and started exploring the platform.

Step 1: Learning Pine Script

Mason discovered that TradingView uses a scripting language called Pine Script to create custom indicators and strategies. He spent an hour reading the documentation and watching tutorials.

"It's like coding," he thought. "But simpler."

Step 2: Creating a Basic Strategy

He decided to start with a simple moving average crossover strategy:

Buy when the short-term moving average crosses above the long-term moving average.

Sell when the short-term moving average crosses below the long-term moving average.

Mason wrote the script, tested it on historical data, and was thrilled to see it work.

Step 3: Deploying the Bot

Using TradingView's Alerts feature, Mason set up automated trades. He connected his broker's API and configured the bot to execute trades based on his strategy.

"This is it," he said, watching the bot place its first trade. "Automated trading is live."

By the time Mason finished, the sun had set. He leaned back in his chair, feeling both exhausted and exhilarated.

Progress for the Day:

Dropshipping Automation: Set up order processing, customer service, and inventory management.

Trading Automation: Created and deployed a basic trading bot using Pine Script.

"I automated two major parts of my life today," he thought. "That's huge."

He opened his notebook and wrote:

Lessons Learned:

Automation saves time but requires upfront effort.

Start small and scale up.

Always test before going live.

As Mason lay in bed that night, he reflected on the day.

"I automated my dropshipping and trading. I learned new skills. And I took a big step toward building the life I want."

It wasn't a perfect day, but it was progress.

"The New Me is still here," he thought. "And I'm not giving up."