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This is an Experimental Intraday Stock Recommendation. This feature only supports a very limited number of stocks in NASDAQ, NYSE, AMEX and TSX. It is not real-time Trading Signals, it is delayed several minutes (up to 20 minutes) to enable time-intensive computation. Similar to Stock Recommendations or End of Day (Interday) Stock Trading Signals, Qickr.com continuously computes limited number of stocks to compile stock recommendations. Stock recommendations are based on computation results, the so-called "Heat Index" Heat Index ranges between -10 and 10, and the higher (or lower) the index is, the higher (or lower) the likelihood that stocks/securities listed will increase (or decrease respectively) in the specified investment time period. Users are able get past intraday recommendations as well as validation results for free grouped in:
- "Past Intraday Buy Signals",
- "Past Intraday Sell Signals" and
- "Past Intraday Hold Signals"
Users need to register and subscribe to one of our subscription plans to get current recommendations available in: - "Current Intraday Buy Signals",
- "Current Intraday Hold Signals" and
- "Current Intraday Sell Signals"
Users can easily see and quickly calculate the accuracy of stock recommendations. The following parameters are required to perform stock recommendation screenings in each of "Buy", "Sell" or "Hold" signal tabs: - Recency: users need to specify how far back in time the search should be performed
- Limit: limit the number of stock recommendation entries for performance reasons
The following parameters are optional to perform past intraday stock recommendation search: - Trading Period: this indicates how long users would like to invest (measured in minutes instead of days)
- Exchange: users can specify Exchange of interest
Please note that our algorithms are optimized with the following priority: minimize "False Positives" first and then minimize "False Negatives" "False Positives" are often defined as erroneous identification of a threat or dangerous condition that turns out to be harmless. In contrast to False Positives, False Negatives are defined as erroneous identification of a benign condition that turns out to be harmful. In Stock Analysis, False Positives and False Negatives are viewed from buying opportunity perspectives. Hence in this case False Positives (False Negatives) are situations in which the Heat Index is high (low) however the stock value drops (increases) respectively over the specified investment period.
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