Screening Filters
region = US / list_exchange = XNAS
- Purpose: Limits the screen to U.S.-listed Nasdaq stocks.
- Rationale: The user is asking for a GOOG stock forecast, so restricting the universe to the U.S. Nasdaq ensures the results stay in the correct market and match Google’s listing venue.
relative_vol min = 1.5
- Purpose: Finds stocks trading with at least 1.5x their normal relative volume.
- Rationale: Elevated volume often confirms strong investor interest and can make short-term price forecasts more meaningful. For a forecast, this helps focus on stocks where the price move is backed by active participation.
rsi_category = moderate
- Purpose: Selects stocks that are neither extremely overbought nor deeply oversold.
- Rationale: GOOG’s recent technicals show very strong momentum, but an overly stretched RSI can increase reversal risk. A moderate RSI filter helps identify names with bullish potential while avoiding the most extended setups.
macd = positive, bullish
- Purpose: Screens for stocks with positive momentum and bullish trend confirmation.
- Rationale: MACD is a momentum/trend indicator. Using positive and bullish MACD aligns with the goal of forecasting upward price movement over the next day, week, and month.
moving_average_relationship = PriceAboveMA5, PriceAboveMA20, PriceAboveMA200
- Purpose: Ensures price is trading above short-, medium-, and long-term moving averages.
- Rationale: This is a classic trend filter showing the stock is in a strong uptrend across multiple time horizons. For GOOG, this is especially relevant because the user wants a forecast, and trend alignment improves the probability of continuation.
comparison_between_indicators: price > ema_5, ema_20, ema_200
- Purpose: Confirms the same bullish structure using exponential moving averages.
- Rationale: EMA comparisons reinforce the trend signal from the SMA-based filters. When price is above key EMAs, it suggests buyers are controlling the trend and supports a constructive forecast.
comparison_between_indicators: volume > monthly_average_dollar_volume
- Purpose: Confirms the stock is trading with stronger-than-usual dollar activity.
- Rationale: This is important for forecasting because moves in liquid, actively traded stocks are generally more reliable. It also helps avoid thin or noisy setups.
one_day_rise_prob min = 50 / one_week_rise_prob min = 50 / one_month_rise_prob min = 50
- Purpose: Keeps stocks with at least a 50% modeled probability of rising over each timeframe.
- Rationale: Since the user is asking for a forecast, these probability filters directly target stocks with a statistically favorable chance of appreciation across the requested horizons.
one_day_predict_return min = 0 / one_week_predict_return min = 0 / one_month_predict_return min = 0
- Purpose: Excludes names with negative predicted returns.
- Rationale: This ensures the screen only returns stocks with non-negative expected performance, which fits a bullish forecast-oriented query.
Why Results Match:
- The filter set is built to find bullish, technically strong, and liquid stocks, which is exactly what you want when forecasting upside potential for GOOG.
- Trend filters like price above MA/EMA levels and bullish MACD identify stocks with momentum already in place.
- Moderate RSI avoids chasing the most overextended names, improving the quality of the forecast setup.
- Relative volume and dollar volume confirm the move is supported by real market participation.
- The probability and predicted return filters ensure the results are not just technically strong, but also supported by the model’s forward-looking expectations.
If you want, I can also explain why these filters specifically fit GOOG’s current technical and news backdrop.
This list is generated based on data from one or more third party data providers. It is provided for informational purposes only by Intellectia.AI, and is not investment advice or a recommendation. Intellectia does not make any warranty or guarantee relating to the accuracy, timeliness or completeness of any third-party information, and the provision of this information does not constitute a recommendation.