Now stock forecast

Screening Filters

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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.

9. 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.