Forex and Commodity historical (15-20 years) Data extraction (via python script or others).

Data required for my program. Forex historical data.

Data Collection Requirements:
Historical Gold Prices (Trend Indicators like SMA, EMA, MACD, ADX, RSI)

Sources: Yahoo Finance / Alpha Vantage / Investing.com
Symbols: GC=F (Gold Futures)
Frequency: Daily / Hourly (preferred)
Period: 20 years (if available)
Output Format: CSV file with the following columns:
{Date, Open, High, Low, Close (OHLC data for each interval), Volume, SMA, EMA, MACD, ADX, RSI}
Forex Historical Data (EUR/USD for Trend & Momentum Indicators)

Sources: OANDA / Forex Factory
Symbol: EUR/USD
Frequency: Daily / Hourly / 1-minute / 5-minute
Period: 20 years (if available)
Output Format: CSV file with the following columns:
{Date, Open, High, Low, Close (OHLC data for each interval), Volume, SMA, EMA, MACD, RSI}
Precious Metal Data (Gold, Silver)

Sources: Metals-API / Quandl
Symbols: XAU/USD (Gold) and XAG/USD (Silver)
Frequency: Daily / Hourly
Period: 20 years (if available)
Output Format: CSV file with the following columns:
{Date, Open, High, Low, Close (OHLC data for each interval), Volume, Correlation with Gold}
Stock Market Data (Correlation Analysis)

Sources: Yahoo Finance / Alpha Vantage
Symbols: ^GSPC (S&P 500), ^DJI (Dow Jones Industrial Average)
Frequency: Daily / Hourly
Period: 20 years (if available)
Output Format: CSV file with the following columns:
{Date, Open, High, Low, Close (OHLC data for each interval), Volume, Correlation with Gold}
Economic Indicators (Regime Analysis)

Sources: FRED Economic Data / Trading Economics
Indicators: Inflation rates, Employment rates, Interest rates, USD strength
Frequency: Monthly / Quarterly
Period: 20 years (if available)
Output Format: CSV file with the following columns:
{Indicator Name, Date, Value}
Commodity Prices (Volatility Analysis)

Sources: Quandl / Investing.com
Symbols: Crude Oil, Copper
Frequency: Daily / Hourly
Period: 20 years (if available)
Output Format: CSV file with the following columns:
{Date, Open, High, Low, Close (OHLC data for each interval), Volume, Correlation with Gold}
Cryptocurrency Data (Correlation with Gold)

Sources: CoinGecko / Binance API
Symbols: BTC/USD (Bitcoin)
Frequency: Daily / Hourly
Period: 10-20 years (as available)
Output Format: CSV file with the following columns:
{Date, Open, High, Low, Close (OHLC data for each interval), Volume, Correlation with Gold}

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Indicators to be Calculated:
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- Bollinger Bands: Include upper band, lower band, and moving average.
- Williams %R: 14-period calculation.
- ATR (Average True Range): 14-period.
- CCI (Commodity Channel Index): 20-period.
- Ichimoku Cloud: Include all five lines (Tenkan-sen, Kijun-sen, Senkou Span A, Senkou Span B, and Chikou Span).
- Parabolic SAR: Default settings.
- Fibonacci Retracements: Key levels 23.6%, 38.2%, 50%, 61.8%, and 78.6%.
- TRIX (Triple Exponential Average): 15-period.
- Ultimate Oscillator: Standard settings of 7, 14, and 28 periods.
- Stochastic Oscillator: 14-period %K and %D.
- Momentum: 10-period calculation.
- Keltner Channels: Include upper band, lower band, and middle line.
- Chaikin Money Flow: 21-period calculation.
- Volume-Weighted MACD: Use volume-adjusted data for calculation.
- Linear Regression: Slope and intercept calculations.
- On-Balance Volume: Cumulative total of volume added on up days and subtracted on down days.
- Rate of Change (ROC): 12-period calculation.
- Donchian Channels: 55-period high and low.
- Directional Movement Index (DMI): Include +DI, -DI, and ADX.
- Pivot Points: Include pivot point, support levels (S1, S2, S3), and resistance levels (R1, R2, R3).

Also Make sure to provide the data and payment will be done. The data should be upto-date.

Project funds is between 5000 to 9000 INR. Quote wisely. Preferred coders or anyone who has already shared the historical data?

So kindly stay away if the expectations are beyond 8K.

CSV is the only required format.

1. {CSV file} Each data needs to be shared on CSV. i.e. Each indicators should be over a CSV file.
2. {Python Script/Other tools} Data needs to be extracted via Python using the respective API. I will be using the same API and extract data whenever required. Hence requesting to submit the python script with a demo to extract couple of data.