The Evolution of the Bear Bull Trader
Bear Bull Traders (BBT), founded by Andrew Aziz, built its reputation on the frenetic energy of day trading. However, a significant portion of the community has transitioned toward swing trading to accommodate professional schedules and capture larger structural moves. The BBT swing philosophy is not a separate discipline; it is an expansion of the same price action principles used in intraday scalping, applied to daily and weekly charts.
A Bear Bull swing trader looks for "stocks in play." These are assets with significant institutional interest, often driven by earnings surprises, sector rotation, or macro-economic shifts. By extending the holding period from minutes to days, the trader bypasses the high-frequency "noise" of the morning session, focusing instead on the development of multi-day trends. This approach requires a shift from rapid execution to patient observation.
Technical Foundations: Price Action Priority
The foundation of any BBT strategy is Price Action. Indicators are derivatives of price; therefore, they are secondary. A BBT swing trader prioritizes support and resistance levels, candlestick psychology, and market structure. We look for "confluence"—the alignment of multiple technical factors at a single price point. When a stock pulls back to a previous resistance level (which now acts as support) at the same time it touches a major moving average, the probability of a successful bounce increases significantly.
Understanding "Market Regimes" is equally vital. A strategy that works in a roaring bull market will likely fail in a sideways or bear market. BBT traders use the SPY and QQQ as barometers. We only initiate long swing positions when the broader indices are trading above their respective 50-day and 200-day moving averages. This alignment ensures that the "wind is at our back," reducing the risk of a market-wide reversal catching our individual trades off guard.
The Indicator Stack: SMAs and VWAP
While price action is king, the BBT toolkit utilizes a specific stack of indicators to confirm entries and exits. For swing trading, we move away from the 1-minute and 5-minute charts toward the Daily (D1) and Weekly (W1) timeframes. The following indicators form the baseline for our technical analysis.
| Indicator | Swing Trading Application | BBT Specific Logic |
|---|---|---|
| 9 EMA / 20 SMA | Short-term Trend Filter | We look for the "T-Line" (9 EMA) to stay above the 20 SMA for bullish momentum. |
| 50 SMA / 200 SMA | Institutional Benchmarks | The 50 SMA is the "Institutional Buy Point." A touch here is a high-probability entry. |
| VWAP (Anchored) | Volume Weighted Average Price | Anchoring VWAP to an earnings date shows the average price paid by institutional buyers. |
| Volume Profile | Point of Control (POC) | High-volume nodes act as magnets for price, while low-volume zones are "gaps" price moves through. |
High-Probability Swing Setup Matrix
Success in swing trading requires the discipline to wait for specific patterns to emerge. The Bear Bull Traders community focuses on a handful of high-conviction setups that exploit institutional behavior. These are not guesses; they are repeatable patterns of human and algorithmic psychology.
The Math of Survival: BBT Risk Controls
Risk management is the hallmark of the Bear Bull Trader. Without it, even the best technical analysis is useless. We adhere to the 1% Rule: no single trade should result in a loss larger than 1% of the total account equity. This ensures that even a string of ten losses (which happens to every professional) only results in a 10% drawdown, a manageable hurdle for recovery.
Furthermore, we utilize the "R-Ratio" logic. We only take trades where the potential profit (Reward) is at least twice the potential loss (Risk). This 2:1 ratio means we only need to be right 33% of the time to break even. For a swing trader, this math is the insurance policy that protects the portfolio during volatile market regimes. We set "Hard Stops" in our platforms (thinkorswim or Dash Trader) to remove the emotional temptation to "give a trade more room."
Position Sizing Workshop
The most important calculation a trader makes is not the target price, but the share quantity. This calculation must be done *before* the trade is entered. Using the BBT methodology, we calculate our position based on our "Stop Distance" rather than a round number of shares.
To ensure you only lose 1% of your wealth if your stop is hit, use this formula:
Shares = (Account Equity x 0.01) / (Entry Price - Stop Loss Price)Example: You have a 50,000 dollar account and risk 1% (500 dollars). You enter a trade at 150 dollars with a stop at 145 dollars (5 dollar risk per share).
500 / 5 = 100 Shares. Total investment: 15,000 dollars. Actual risk: 500 dollars.
Optimization for thinkorswim and DASP
Bear Bull Traders primarily use thinkorswim (TOS) for charting and scanning, and Dash Trader Pro (DASP) for rapid execution. For swing trading, TOS is the superior tool for its "Stock Hacker" capabilities. We configure custom scans to find stocks with "Institutional Sizzle" or those trading within a "Volatility Squeeze."
One essential optimization is the "Multi-Chart Grid." We layer the D1 (Daily), 4H (4-hour), and 1H (1-hour) charts together. While the daily chart shows the major trend, the 1-hour chart allows for a "surgical" entry. By identifying a support level on the daily and waiting for a reversal pattern on the 1-hour, the swing trader can significantly reduce their risk while maintaining the larger profit target of the daily move.
The Mindset of the Mid-Term Practitioner
Psychology is the final frontier. A swing trader faces different emotional hurdles than a day trader. The primary enemy is "Boredom" and "Premature Exiting." When a trade takes three days to reach a target, the human brain often searches for reasons to sell early out of fear that the profit will vanish. This "Loss Aversion" is the primary reason retail traders fail to achieve institutional-level compounding.
The Bear Bull Trader builds resiliency through the "Community Review" process. By sharing trade journals and reviewing mistakes with peers, we normalize the experience of losses and drawdowns. We view ourselves as "Risk Managers" first and "Speculators" second. The goal is not to catch every move, but to capture the most predictable moves with the highest mathematical probability. Success in this field is the result of patience, math, and a relentless adherence to the BBT code of discipline.