commodity-trading

Here are 9 public repositories matching this topic...

je-suis-tm / quant-trading

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

trading-bot quant trading-strategies trading-algorithms quantitative-finance algorithmic-trading quantitative-trading trading-systems statistical-arbitrage macd options-trading bollinger-bands options-strategies momentum-strategy quantitative-trading-strategies trading-strategy pair-trading momentum-trading-strategy commodity-trading quantimental-analysis

Updated Apr 14, 2024
Python

KVignesh122 / AssetNewsSentimentAnalyzer

Star

A sentiment analyzer package for financial assets and securities utilizing GPT models.

sentiment-analysis financial-analysis forex-trading news-api investment-analysis commodity-trading google-search-api llm-inference

Updated Jul 27, 2024
Python

Ranjitkumarsahu1436 / Pivot-Point-

Star

visualization numpy pandas commodity-tracking commodity-trading

Updated Feb 8, 2020
Jupyter Notebook

csatzky / silver-commodity-market-timing

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In this article, I present a simple, macroeconomic pricing model for the silver commodity. I construct a statistical fair-value indicator for the silver spot price using recent U.S. data.

silver r-programming commodity-trading macroeconomic-factors market-timing silver-spot-price

Updated Oct 20, 2021
TeX

mbanasinski / sesonal_app1

Star

This app help you spot sesonality in prices on financial market, such as metals, grains and currencies.

training forex a stock-market trading-strategies technical-analysis t forex-trading commodities commodity-trading sesonality-trading sell-may-ang-go-away

Updated May 12, 2024
Python

zelosleone / GAS-Price-Levels

Star

Advanced GAS price level indicator combining machine learning-inspired alpha factors with traditional technical analysis to identify high-probability trading opportunities through adaptive, correlation-weighted signals.