Find me a trade a d take i

Screening Filters

1. volume ≥ 0

   • Purpose: Include all stocks regardless of share volume, then refine with another liquidity condition.
   • Rationale: Since you’re looking for a trade idea (and have been focused on scalping TSLA options), the system shouldn’t accidentally exclude TSLA or similar names by setting an arbitrary minimum share volume here. Instead, liquidity is more meaningfully controlled via the dollar-volume comparison filter below.

2. monthly_average_dollar_volume ≥ 0

   • Purpose: Include all stocks, then compare current activity against their own historical norm.
   • Rationale: Again, this alone is non-restrictive so TSLA is not excluded, but it sets up a baseline liquidity measure so we can look for unusual current activity relative to the stock’s own past.

3. comparison_between_indicators: volume > monthly_average_dollar_volume

   • Purpose: Focus on stocks with higher-than-normal trading activity / interest today.
   • Rationale: For short-term trade ideas and especially options scalping (as you asked about with TSLA puts), you want names with strong liquidity and heightened activity. Requiring current volume to exceed its typical monthly average dollar volume is a proxy for:
     • More attention and participation right now
     • Tighter spreads and better fills
     • More reliable intraday moves to scalp around
       This supports TSLA-style trading conditions: liquid, active, and “in play” today.

4. macd: ['positive', 'negative', 'bearish', 'bullish']

   • Purpose: Allow all MACD states; don’t pre-filter by trend direction.
   • Rationale: Since you asked broadly for a trade idea on TSLA (and previously looked at both bullish and bearish scalps), the system doesn’t force a bullish-only or bearish-only bias via MACD. Instead, it keeps MACD available for interpretation (momentum strength, crossovers) without excluding TSLA if its MACD is currently negative or positive.

5. moving_average_relationship: ['PriceCrossAboveMA20', 'PriceCrossDownMA20', 'PriceAboveMA20', 'PriceAboveMA200', 'PriceBelowMA20', 'PriceBelowMA200']

   • Purpose: Capture key short- and medium-term technical setups: trend direction and trend-change points.
   • Rationale: Your prior TSLA discussion involved short-term trading and scalping. Entries often center around:
     • Fresh momentum signals (price crossing above or below the 20-day MA)
     • Trend confirmation (price above or below MA20/MA200)
       These patterns are exactly the kind that generate actionable trade ideas:
     • Breakouts above MA20/MA200 suggest potential bullish trades or put-selling strategies
     • Drops below MA20/MA200 suggest bearish put buys, spreads, or short-term downside scalps
       So the filter looks for the kinds of price–MA relationships that would justify a concrete TSLA trade thesis.

6. support_resistance_relationship: ['PriceBreakResistance', 'PriceFallBelowSupport', 'PriceAroundResistance', 'PriceAroundSupport']

   • Purpose: Identify stocks interacting with important levels—breakouts, breakdowns, or tests of support/resistance.
   • Rationale: In the earlier TSLA answer, support/resistance levels were used for:
     • Defining scalp entries (e.g., breaking below support for puts)
     • Setting profit targets and stop levels
       These filters directly hunt for those same trigger conditions:
     • PriceBreakResistance: potential long trades or bearish option strategies on overextended moves
     • PriceFallBelowSupport: classic spot for bearish plays (TSLA put scalps)
     • PriceAroundSupport/Resistance: mean-reversion or breakout setups
       For a TSLA trade idea, you want to know if it’s testing or breaking key levels right now; these filters ensure the screener is oriented around such events.

7. region: ['US']

   • Purpose: Limit to U.S.-listed names.
   • Rationale: TSLA trades in the U.S., and your request is specifically about Tesla. Restricting to U.S. stocks:
     • Keeps comparables in the same regulatory/market environment
     • Ensures data consistency (time zone, reporting standards)
       This guarantees TSLA itself is within the screened universe.

8. list_exchange: ['XNAS', 'XNYS', 'XASE']

   • Purpose: Focus on major U.S. exchanges: NASDAQ, NYSE, and AMEX.
   • Rationale: TSLA is on NASDAQ (XNAS), and you’re trading listed options which require a robust underlying. This filter:
     • Removes OTC and illiquid venues
     • Ensures higher-quality price discovery
       It keeps TSLA and similarly liquid large/mid caps that are practical for your kind of options-based trading.

9. one_day_rise_prob: 0–100; one_week_rise_prob: 0–100

   • Purpose: Keep the full probability range; do not pre-commit to bullish or bearish bias.
   • Rationale: For a TSLA trade idea, you may want either a bullish or bearish setup (you previously asked about puts specifically). Setting the range to 0–100:
     • Ensures the screener doesn’t exclude TSLA if the model currently sees a low or high rise probability
     • Leaves room to interpret the probability directionally in the final trade thesis rather than as a hard filter.

10. one_day_predict_return: 0–100; one_week_predict_return: 0–100

    • Purpose: Similar to above: include all model-predicted return scenarios.
    • Rationale: The system exposes model outputs for short-term expected return, but doesn’t constrain them. That way:
      • TSLA is never filtered out because its predicted return isn’t high enough
      • The analyst can still use these numbers qualitatively when shaping the trade idea (e.g., favoring setups where model and technicals agree).

11. is_optionable: True

    • Purpose: Only include stocks that have listed options.
    • Rationale: You specifically asked about options scalping strategies on TSLA puts earlier, and now want a trade idea on TSLA. To keep your trade implementable:
      • The screener restricts to optionable stocks so that any idea can be expressed with options (puts, calls, spreads, etc.)
      • TSLA is of course optionable, so this filter ensures it remains in-scope while eliminating illiquid, non-optionable names that wouldn’t fit your style.

Why Results Match

• The filters emphasize technical triggers (moving averages and support/resistance) that naturally produce actionable trade ideas like the ones previously discussed for TSLA.
• They enforce high activity/liquidity (via volume vs. monthly average), which is critical for short-term and options-based trading such as TSLA put scalps.
• They restrict to U.S., major-exchange, optionable stocks, ensuring Tesla is in the universe and that any suggested idea is realistic to execute with options.
• They deliberately don’t hard-code a bullish or bearish bias (via MACD or predictive ranges), which matches your flexibility to consider either bullish or bearish trade ideas on TSLA depending on the current setup.