Algorithmic trading is huge and such tools enabling algorithmic trading appear to play a major role for enterprises being active in this domain. But for individuals, assuming that you don’t have millions to invest in such tools, you will either develop your own solutions or live without a solution.
It is an extremely challenging area. I developed my own solution by using Neural Networks, and even made it available in a mobile app.
- It predicts whether the price of a given common stock will go up or down in the coming month.
- Given predictions are probabilistic. If the prediction is above 50%, it indicates that the price of the stock is expected to go up, otherwise a price decrease is predicted.
- As the prediction gets closer to 100% (or 0%), it indicates a stronger algorithmic expectation on a price increase (or decrease).
- Stocks with highest algorithmic price increase likelihood are short listed in 2 groups: One for Penny Stocks, and one for the Non-Penny Stocks. (Penny stocks happen to be a lot more volatile and some people may prefer to focus on just that ones instead.) For these short listed stocks, beside Buy Target, Sell Target and Stop Loss values are shared as well based on recent volatility of each stock.
- Predictions for stocks are renewed on each market day as more data is collected from markets. Expectedly, each stock’s price increase likelihood for the coming month changes every day with new input data coming from markets. For this reason, predictions from the past week are also made available so that one can follow if the price increase likelihood for a given stock has been - e.g. - increasing in the past week.
- Predictions are indicative. Algorithms aim to predict future price movements by looking at the complex historical trends of stocks, which is not feasible for a pair of human eyes. External & unexpected factors (i.e. wars, natural disasters, political chaos, etc.) may always positively/negatively affect markets (especially in the short term) resulting in unexpected price movements for stocks. Predictions aim to short list stocks for short term trading; and with the aim of making it even a stronger tool, I have also added a strong Stock Screener function. Beside, technical indicators, company financials, dividend history, latest stock specific news from markets, and historical graphs enabling a proper technical analysis are also made available within the app.
Being very interested in stock markets, I have developed it exactly in the way I need it. I wanted to share it here as well in case other people with similar interests would like to try it out.
It is an extremely challenging area. I developed my own solution by using Neural Networks, and even made it available in a mobile app.
Apple App Store: https://apps.apple.com/se/app/investing-stock-market/id16023...
Google Play Store: https://play.google.com/store/apps/details?id=com.loheden.in...
Here is what it does in a nutshell:
- It predicts whether the price of a given common stock will go up or down in the coming month.
- Given predictions are probabilistic. If the prediction is above 50%, it indicates that the price of the stock is expected to go up, otherwise a price decrease is predicted.
- As the prediction gets closer to 100% (or 0%), it indicates a stronger algorithmic expectation on a price increase (or decrease).
- Stocks with highest algorithmic price increase likelihood are short listed in 2 groups: One for Penny Stocks, and one for the Non-Penny Stocks. (Penny stocks happen to be a lot more volatile and some people may prefer to focus on just that ones instead.) For these short listed stocks, beside Buy Target, Sell Target and Stop Loss values are shared as well based on recent volatility of each stock.
- Predictions for stocks are renewed on each market day as more data is collected from markets. Expectedly, each stock’s price increase likelihood for the coming month changes every day with new input data coming from markets. For this reason, predictions from the past week are also made available so that one can follow if the price increase likelihood for a given stock has been - e.g. - increasing in the past week.
- Predictions are indicative. Algorithms aim to predict future price movements by looking at the complex historical trends of stocks, which is not feasible for a pair of human eyes. External & unexpected factors (i.e. wars, natural disasters, political chaos, etc.) may always positively/negatively affect markets (especially in the short term) resulting in unexpected price movements for stocks. Predictions aim to short list stocks for short term trading; and with the aim of making it even a stronger tool, I have also added a strong Stock Screener function. Beside, technical indicators, company financials, dividend history, latest stock specific news from markets, and historical graphs enabling a proper technical analysis are also made available within the app.
Being very interested in stock markets, I have developed it exactly in the way I need it. I wanted to share it here as well in case other people with similar interests would like to try it out.