Screening Filters
- support_resistance_relationship:
PriceAroundSupport
- Purpose: Finds stocks trading near a support zone.
- Rationale: The user asked for buy zones for NVDA this week, and buy zones are typically areas where price is likely to find demand or bounce. Stocks near support are the most relevant candidates because support often provides a lower-risk entry area.
- support_resistance_relationship:
PriceBreakUpperBoll
- Purpose: Identifies stocks showing a bullish breakout above the upper Bollinger Band.
- Rationale: For short-term buy zones, not every setup comes from pullbacks. Some buy opportunities come from momentum breakouts, especially if the stock is starting a new leg higher. This filter helps catch stocks with strong upside momentum that may be suitable for an entry on strength.
- moving_average_relationship:
PriceAboveMA200
- Purpose: Selects stocks trading above the 200-day moving average.
- Rationale: This filters for names with a healthier medium-term trend. If the user is looking for buy zones this week, it is generally better to focus on stocks that are still in a broader uptrend rather than deeply damaged names.
- moving_average_relationship:
PriceBelowMA20
- Purpose: Finds stocks currently below the 20-day moving average.
- Rationale: This is useful for identifying pullback entries. A stock below its 20-day average may be temporarily oversold or correcting within a larger trend, which can create a better buy zone if support is nearby.
- moving_average_relationship:
PriceCrossAboveMA5
- Purpose: Detects very short-term bullish momentum shifts.
- Rationale: A cross above the 5-day moving average often signals that a stock is starting to recover from a short pullback. This is helpful for timing a potential entry point this week, especially if the user wants a buy zone that is beginning to turn upward.
- moving_average_relationship:
PriceCrossAboveMA20
- Purpose: Captures stocks regaining short-term trend strength.
- Rationale: Crossing back above the 20-day moving average is a common sign that a pullback may be ending. This supports the idea of a buy zone with improving momentum, rather than buying into weakness without confirmation.
- industry:
Semiconductors & Semiconductor Equipment
- Purpose: Narrows the search to NVDA’s sector.
- Rationale: Since the user specifically asked about NVDA, this sector filter ensures the screen stays focused on semiconductor stocks, which is where NVDA belongs. It improves relevance by keeping the results aligned with the same industry dynamics, sentiment, and leadership behavior.
- comparison_between_indicators:
price > ema_200
- Purpose: Confirms the stock remains above the 200-day EMA.
- Rationale: This is another way to verify that the long-term trend is still constructive. For buy zones, you generally want names that have not broken their major trend structure.
- comparison_between_indicators:
price < ema_20
- Purpose: Confirms the stock is still in a short-term pullback.
- Rationale: This helps find stocks that may be temporarily discounted relative to their recent trend, which is exactly where a buy zone is often formed.
Why Results Match:
- The filter set is designed to find stocks that are either pulling back into support or beginning to rebound, which matches the idea of identifying buy zones.
- By combining price near support, price above the 200-day trend, and price below the 20-day trend, the screen looks for stocks that are still fundamentally in an uptrend but temporarily weak enough to offer an attractive entry.
- The breakout and moving-average cross filters add a second pathway: stocks that are not just cheap, but also starting to regain momentum, which can help time a buy zone for the current week.
- Limiting the universe to semiconductors keeps the results relevant to NVDA’s peer group, making the screen more useful for comparing similar setups.
If you want, I can also translate this into a practical NVDA buy-zone plan for this week, including entry ranges, stop-loss levels, and upside targets.
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.