# CSE Predictor

> Use this tool when you need to analyze and predict stock performance on the Colombo Stock Exchange, as it solves problems related to investment decision-making by providing directional signals and technical criteria screening through indicators like RSI, MACD, and Bollinger Bands. It takes historical stock data as input and outputs predictive signals, making it ideal for investors and analysts seeking data-driven insights. Use it to inform investment strategies and optimize portfolio performance.

Canonical page: https://skillsregistry.net/skills/shalinda-j-cse-predictor  
JSON: https://api.skillsregistry.net/v1/skills/shalinda-j-cse-predictor

## Description

Provides technical analysis and stock prediction tools for the Colombo Stock Exchange using RSI, MACD, and Bollinger Bands indicators. An ensemble of four prediction models provides directional signals alongside screening for predefined technical criteria. Uses simulated historical data for demonstration purposes rather than live market feeds.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/shalinda-j-cse-predictor)
- **Repository:** <https://github.com/shalinda-j/cse-predictor-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "shalinda-j-cse-predictor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shalinda-j-cse-predictor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shalinda-j-cse-predictor/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
