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Stock Market Prediction-Simulation Software for PC
- Advanced stock market forecasting and trading simulation software
- Computer programs that address the challenges of the modern stock market
- Intended for traders and investors, easy to use
- Free update and technical support
- Free, fully-functional 30-day trial
- Monthly lease starting from $49.00 or perpetual license starting from $985.00
The Set of Tools to Maximize Trading Profit
- Technical indicators signals extracted by Neural Network
- Elliott Wave prediction
- Pattern recognition filter and predictor
- Cycles analyzer and predictor
- Benefit from weekly, monthly, and annual cycles
- Candlestick forecast composite model
- Timing finder to buy and sell shares (entry and exit trades)
- ETFs, stocks, or indexes prediction
Additionally, SMT1 and SMT2
- One prediction signal using Artificial Intelligence to save time
- Backtest (SMT1) and forecast history (SMT2) trading simulation to test different exit conditions and finding the best ones
- Special 4-Way Exit method to maximize trading return
- Predicted entry/exit prices to make it easier to trade by setting limit order for the next market day
more about SMT1…
more about SMT2…
The example of SMT1 user interface:

The example of SMFT-2 user interface:

This is the website where you can find the top software for stock market forecast and trading simulation. This is a right place if you are interested in stock market automated technical analysis, stock market prediction methods and their implementation in stock market software, or if you are looking for individual stock, ETF, or index forecasting algorithms implemented in Artificial Intelligence stock prediction and trading simulation software. Does this stock market software best fit your needs?
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Trading foreign exchange, cryptocurrencies, and algorithmic assets on margin carries a high level of risk and may not be suitable for all investors. Past performance of any trading system or quantitative blueprint does not guarantee future results.<br><br><b>Asset Classification:</b>

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