how to build a fully automated strategy without writing a single line of code
Are you fascinated by the world of Algo Trading but the complex programming languages make you think it’s above your pay grade?
What if you had access to such a system without writing a single line of code? A trading strategy that works for you 24/7, executing trades with precision, discipline, and zero emotional bias. In this blog, we’ll walk you through the key steps of designing a fully automated trading with sharpely. Ready to show off in front of your coder friends?
Before we explore automated strategies in detail, let’s understand, ‘What is Rule-Based Investing?’
You see, traditional investing often falls prey to emotional decision-making. Traders panic-sell in downturns and chase overhyped stocks during bull runs. It's easy to get caught up in the moment, leading to overtrading or abandoning well-researched positions at the wrong time. This often results in the frustrating cycle of buying high and selling low.
Rules-based investing, on the other hand, is a systematic approach where all investment decisions – when to buy, when to sell, and how to manage risk – are determined by a set of pre-defined rules.
By establishing these rules in advance, you create a framework that guides your trading activity, eliminating impulsive actions driven by emotions. This disciplined approach can significantly improve your long-term investment outcomes.
Platforms like sharpely allow you to:
Let’s now explore what’s special about such platforms.
You don’t need to know Python or write scripts to automate your strategy. Several no-code trading platforms allow you to set up and execute strategies effortlessly.
Some popular ones include:
These platforms allow you to define your trading logic using dropdowns, checkboxes, and formula builders—without touching a single line of code.
Now, let’s explore how you can build an automated trading system on sharpely in simple steps.
A trading strategy is a set of predefined rules that determine:
Without a solid trading strategy on paper, having tools like sharpely is like having a Ferrari but no fuel in the tank! Once you have these things ready, you can begin creating your entry conditions. Let’s explore an example
To create this rules-based strategy, we’ll use these conditions in our screener. It is not purely value-based. Instead, we focus on a mix of quality earnings, operational efficiency, and momentum.s. Here’s a simple approach:
(Disclaimer: This is for educational purposes only.)
Once this is done, we then need to work on position sizing. Here’s how we’ve kept things for this example:
Once the weights are assigned you need to set the rebalancing frequency. This is a crucial step in automated strategies as this defines how often you want to rebalance your portfolio.
Now in automated strategies, there’s a very important step that can make or break your portfolio, the exit conditions. On sharpely you can set up an exit signal [Eg; Sell when the stock's price closes below a key EMA (like 20-day or 50-day EMA)] as well as have a risk management strategy in place. We have 3 different types of risk management conditions– trailing stop loss-based, fixed stop and drawdown protection-based, and fixed stop and profit booking-based.
Before deploying your strategy in the real market, you need to test its historical performance. Backtesting involves applying your rules to past market data to evaluate:
A solid strategy should outperform market benchmarks (e.g., Nifty 50 or Nifty 500) while keeping risk under control. Here’s a quick look into how our above strategy performs:
Once you’re satisfied with your backtesting results, you can set your strategy to run live. Running it on a paper trade for a few months is always better than directly jumping into real trades. With sharpely you can:
This offers you better control over your strategy.
Even a profitable strategy requires continuous improvement. Constantly:
We’ve covered these steps in detail in our recent masterclass. P.S. It also covers a strategy that has delivered 30%+ CAGR returns on the backtest!
Watch this exciting FREE masterclass now!
Let’s now look at a real-world example of what’s possible with sharpely’s strategy builder.
We’ll take reference of a strategy that’s actively on paper trade on sharpely right now. Here’s a sneak peek into its performance.
This strategy is built for aggressive, long-term investors (5+ years horizon), offering a balanced exposure across 5 proven factors in India — Market, Momentum, Low Volatility, Value, and Quality — through ETFs.
20% of the portfolio is allocated to US Equity ETFs (S&P 500 Top 50 and NASDAQ 100), adding global diversification.
By combining factor investing with international exposure, the strategy aims to deliver better risk-adjusted returns than the traditional Nifty 50 — without active management, emotions, or guesswork.
Here’s a quick snapshot of the backtested performance of this strategy
Want to explore more? Get your hands on this ready-to-invest strategy on sharpely here.
(Disclaimer: This is for informational purposes only. Always do your due diligence before investing.)
Building a fully automated trading strategy has never been easier. Thanks to no-code platforms like sharpely, anyone can implement a rule-based investing approach without programming expertise. By following these steps—defining a strategy, using automation tools, backtesting, and optimizing—you can create a trading system that runs on autopilot, minimizing emotional biases and maximizing long-term returns.
Are you ready to take the next step in automated trading?
