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Eptr2 Price Analysis Tideseed Eptr2
ASecurityThis skill helps you query and analyze electricity market prices from
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- Added September 2, 2026
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[](https://www.skillsdirectory.com/skills/majiayu000-eptr2-price-analysis-tideseed-eptr2)---
name: eptr2-price-analysis
description: This skill helps you query and analyze electricity market prices from
Turkey's EPIAS Transparency Platform using the eptr2 Python library.
---
---
name: eptr2-price-analysis
description: Query and analyze Turkish electricity market prices including MCP (PTF/Piyasa Takas Fiyatı), SMP (SMF/Sistem Marjinal Fiyatı), WAP (Ağırlıklı Ortalama Fiyat), and imbalance prices. Use when asking about electricity prices, market clearing prices, day-ahead prices, system marginal prices, weighted average prices, or price comparisons in Turkey's energy market. Triggers on: PTF, SMF, GÖP fiyat, GİP fiyat, elektrik fiyatı.
allowed-tools: Read, Bash(python:*)
---
# Turkish Electricity Price Analysis with eptr2
## Overview
This skill helps you query and analyze electricity market prices from Turkey's EPIAS Transparency Platform using the eptr2 Python library.
## Quick Start
```python
from eptr2 import EPTR2
# Initialize with environment variables (recommended)
eptr = EPTR2(use_dotenv=True, recycle_tgt=True)
# Get Market Clearing Price (MCP/PTF)
mcp = eptr.call("mcp", start_date="2024-07-29", end_date="2024-07-29")
print(mcp)
```
## Available Price Endpoints
| Call | Alias | Description (EN) | Description (TR) |
|------|-------|------------------|------------------|
| `mcp` | `ptf` | Market Clearing Price (Day-Ahead) | Piyasa Takas Fiyatı |
| `smp` | `smf` | System Marginal Price | Sistem Marjinal Fiyatı |
| `wap` | - | Weighted Average Price (Intraday) | Ağırlıklı Ortalama Fiyat |
| `imbalance-price` | - | Positive/Negative Imbalance Prices | Dengesizlik Fiyatları |
| `interim-mcp` | - | Interim MCP (before finalization) | Kesinleşmemiş PTF |
| `mcp-smp-imb` | - | Combined MCP, SMP and Imbalance | PTF, SMF ve Dengesizlik |
## Composite Function for Comprehensive Pricing
For complete price and cost analysis including imbalance costs:
```python
from eptr2.composite import get_hourly_price_and_cost_data
df = get_hourly_price_and_cost_data(
eptr,
start_date="2024-07-29",
end_date="2024-07-29",
include_wap=True, # Include IDM weighted average price
add_kupst_cost=True # Calculate KUPST deviation costs
)
```
### Output Columns
| Column | Description |
|--------|-------------|
| `date` | Datetime in ISO format (+03:00 timezone) |
| `mcp` | Market Clearing Price (TL/MWh) |
| `smp` | System Marginal Price (TL/MWh) |
| `wap` | Weighted Average Price (TL/MWh) |
| `system_direction` | Enerji Açığı (deficit), Enerji Fazlası (surplus), Dengede (balanced) |
| `sd_sign` | -1 (deficit/up-regulation), 1 (surplus/down-regulation), 0 (balanced) |
| `pos_imb_price` | Positive imbalance price (TL/MWh) |
| `neg_imb_price` | Negative imbalance price (TL/MWh) |
| `pos_imb_cost` | Positive imbalance cost = MCP - pos_imb_price |
| `neg_imb_cost` | Negative imbalance cost = neg_imb_price - MCP |
| `kupst_cost` | KUPST unit deviation cost |
## Common Use Cases
### 1. Daily Price Comparison (MCP vs SMP)
```python
mcp_df = eptr.call("mcp", start_date="2024-07-29", end_date="2024-07-29")
smp_df = eptr.call("smp", start_date="2024-07-29", end_date="2024-07-29")
# Merge for comparison
import pandas as pd
comparison = mcp_df.merge(smp_df, on="date", suffixes=("_mcp", "_smp"))
```
### 2. Intraday vs Day-Ahead Price Analysis
```python
# Day-ahead price
mcp_df = eptr.call("mcp", start_date="2024-07-29", end_date="2024-07-29")
# Intraday weighted average price
wap_df = eptr.call("wap", start_date="2024-07-29", end_date="2024-07-29")
# Compare DAM vs IDM
comparison = mcp_df.merge(wap_df, on="date")
comparison["dam_idm_spread"] = comparison["price"] - comparison["wap"]
```
### 3. Imbalance Price Analysis
```python
imb_df = eptr.call("imbalance-price", start_date="2024-07-29", end_date="2024-07-29")
# Returns: positiveImbalancePrice, negativeImbalancePrice columns
```
## Date Format
Always use ISO format: `YYYY-MM-DD` (e.g., "2024-07-29")
## Authentication
Set credentials in `.env` file:
```
EPTR_USERNAME=your_email@example.com
EPTR_PASSWORD=your_password
```
Then initialize with:
```python
eptr = EPTR2(use_dotenv=True, recycle_tgt=True)
```
## For More Details
- See [api-reference.md](api-reference.md) for complete endpoint documentation
- See [examples.md](examples.md) for additional code examples
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