> ## Documentation Index
> Fetch the complete documentation index at: https://kalpi.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Build Your Own Basket

> Create dynamic, rule-based portfolios from scratch using custom filters and ranking metrics.

A screener helps you find stocks, but the [Kalpi Portfolio Builder](https://kalpi.ai/research/simple-strategy) lets you craft a complete, dynamic investment strategy. Watch our quick 4-minute walkthrough to see how to define your universe, set filters, rank assets, and deploy a live strategy.

<Frame>
  <iframe width="100%" height="400" src="https://www.youtube.com/embed/56RTYFyW8Yo?si=YourUniqueCode&rel=0" title="Build Your Own Rule-Based Portfolio in Minutes" frameBorder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowFullScreen style={{ borderRadius: '8px' }} />
</Frame>

## The Builder Workflow

Building your own custom basket allows you to create highly tailored systematic strategies without writing a single line of code.

Our no-code [**Portfolio Builder**](https://kalpi.ai/research/simple-strategy) operates on a strict, sequential four-step process to ensure your strategy is logically sound before backtesting.

<Steps>
  <Step title="Universe">
    Define the boundary of your strategy. This determines the pool of assets your logic will scan. You can select pre-defined universes (like **Nifty 50** or **Nifty 500**) or create custom thematic pools.
  </Step>

  <Step title="Filtration">
    Apply technical or fundamental filters to narrow down your universe. This is where you eliminate stocks that do not meet your baseline criteria (e.g., filtering out stocks below their 200-Day Moving Average or with poor liquidity).
  </Step>

  <Step title="Ranking & Scoring">
    Once filtered, assign scores to the remaining assets based on your chosen factors (like *Momentum*, *Value*, or *Quality*). The system will rank the assets from highest to lowest based on your specific logic.
  </Step>

  <Step title="Weightage">
    Determine how capital is allocated among your ranked assets. Choose from **Equal Weight**, **Market Cap Weight**, or assign custom dynamic weights based on volatility or conviction scores.
  </Step>
</Steps>

<Note>
  **Save and Backtest:** Once all four steps are complete, save your configuration. You can then immediately run a backtest to simulate historical performance and view your strategy's *Win Rate*, *Max Drawdown*, and *Sharpe Ratio* before taking it live.
</Note>

<CardGroup cols={2}>
  <Card title="View Template Baskets" color="#26BD6C" icon="sparkles" href="/docs/basket-builder/template-baskets">
    Want a faster route? Explore our expert-built strategy templates.
  </Card>

  <Card title="Analyze Your Backtest" color="#26BD6C" icon="search-code" href="/docs/metrics/win-rate">
    Learn how to read your strategy's performance metrics.
  </Card>
</CardGroup>