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Built an application on Amazon Web Services Using EC2 and RDS. The application has a user login and provides access to autonomous stock trading bot capabilities for trading live through the Alpaca trading API. The application performs predictive analysis for S&P 500. Each user has a dashboard to keep track of their personal activity.

Python 0.22% CSS 49.15% Less 9.79% SCSS 21.05% HTML 16.59% JavaScript 2.42% PowerShell 0.55% Shell 0.23%

stock-advisor's Introduction

Stock Trading Robot

These robots are built to trade stocks live using Alpaca's stock trading API.

Moving Averages Robot

This robot monitors the market for buy and sell signals generated from the crossover of simple or exponential moving averages.

Upon execution of the code the user is asked to define:

  1. Ticker to trade
  2. Buying power or quantity of securities to use in trades
  3. Type of moving averages to monitor for buy/sell signals
    • 5, 8, 13 bar exponential moving average
    • 5, 8, 13 bar simple moving average
  4. Maximum number of trades to execute
    • 2 - one buy, one sell
    • 4 - two buys, two sells
    • etc.

Momentum Robot

Currently in developement.

Breakout Strategy

  • Look at past highs and generate buy signals as soon as price manages to break out from its previous high
  • Use dynamic lookback ranges based on volatility
    • When volatility is high, look further back
    • When low, look less
  • Open short-term long position and use stop loss

Gap and Go Strategy

  • Looks for overnight gappers and bets on continuation of that move
  • Open Short-term long/short trade and use stop loss

Earnings/News Strategy

  • Look at the most well known/liquid stocks that had earnings in the past few days
  • Focus on stocks that have an especially negative reaction from the market (-2%)
  • Open medium-term long position and use stop loss

stock-advisor's People

Contributors

roarkj avatar

Stargazers

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