Real-time pattern trading is the easiest way to find entry and exit prices if you can scan thousands of stocks and ETFs within minutes. It is definitely impossible for humans. Artificial Intelligence (A.I.) not only discovers these patterns, but also checks if they worked out well in the past. Knowing the success rate in the past allows A.I. to establish the odds of success in the future.
Every minute, Tickeron's Real-time Patterns feed (RTP) scans thousands of stocks and ETFs in search of patterns. Users can choose the following time frames: 5 minutes, 15 minutes, 30 minutes, 1 hour, and 1 day. RTP will then scan the market to find the patterns. Then, RTP will predict target prices, breakout prices, confidence levels, and other statistics.
Using RTP is easy: choose the patterns, specify the minimum confidence level, and that’s it! The A.I. will do the work of finding your patterns, determining 'breakout' and 'target' prices, and backtesting the pattern. The A.I will develop statistics about the impact of a potential trade and deliver them right to your inbox.
Real-time stock trading signals generated by A.I.
Operating the Pattern Search Engine is easy and straightforward
- Set up pattern search criteria
- Receive patterns in your feed
- Bookmark patterns to track their status
No matter your trading strategy (day trading, swing, etc), we have patterns that will be ready to trade.
- 5 min
- 15 min
- 30 min
- 1 hour
- 4 hour
- 1 day
Sample patterns
Take a look at the pictures below. This is what Tickeron will show you once it detects a new pattern. Each screen will contain a constantly updating pattern information. We will also provide statistics of success for similar patterns in the past to help you make a trading decision.
Take a look at the pictures below. This is what Tickeron will show you once it detects a new pattern. Each screen will contain a constantly updating pattern information. We will also provide statistics of success for similar patterns in the past to help you make a trading decision.
PATTERN TYPES 