What information should I feed into a neural model to achieve good forecasting results?
A. Tradecision requires a set of input columns to base the neural model training on, and identify price patterns and relationships. All data that as you believe significantly affects the value of the target or represents the market situation should be used as inputs. This includes price data (open, high, low, close and volume), technical indicators (moving averages, lags, MACD, RSI, PercentR, and so on) market indexes (S&P500, Dow Jones Industrial, NASDAQ, and so on), as well as relevant stocks and other information that represents the market conditions.
Related Questions
- Why does the same type of model (e.g., momentum models) give good results (i.e., produce above-market returns) for some and bad results for others?
- What information should I feed into a neural model to achieve good forecasting results?
- Can TurboPrint achieve good printing results even with 3rd party media/paper?
