Public trading strategy
Massive $53B buyout bid for PayPal — ride the merger premium
Created
Thesis
A massive $53 billion buyout bid for PayPal creates a clear pricing target for the stock. Because the offer is reportedly at a 28% premium to Tuesday's closing price, PayPal shares have a strong magnetic pull toward that higher valuation. Even if the deal takes months to close or faces regulatory review, shares typically stay bid near the offer price as arbitrage funds step in.
Strategy approach
Build a rule-based strategy that enters long PYPL on the D1 timeframe. Entry condition: trigger when the stock gaps up at least 15% on high volume following a merger or acquisition announcement. Exit condition: take profit at 3% below the implied per-share buyout price (28% premium to the prior close), or cut losses with a 8% stop loss from the entry price. Limit the hold to 30 calendar days.
Markets and timeframes
PYPLD1
Latest published rule evaluation
Evaluated . This is a dated rule snapshot, not a live price or trade execution confirmation.
PYPL · 1d
2 of 6 published entry conditions marked met.
- Price below EMA (20) — far
- Price at or below Bollinger (20) — far
- RSI (14) below 40 — far
- RSI (14) above 25 — met
- ADX (14) above 20 — met
- OBV above 0 — unknown
- Price at or above 58.5 — far
- Price below EMA (20) — far
Entry and exit at a glance
These are the named rules in the shared configuration. Review the full conditions below before using a strategy.
- Entry: EMA/BB/RSI/ADX/OBV Signal Long (PYPL@1d) (10 conditions)
- Exit: Position Exit Rule (PYPL@1d) (3 conditions)
- Exit: TP: Fib Extension 127.2% (PYPL@1d) (1 condition)
- Exit: SL: Below Support[2] (PYPL@1d) (1 condition)
- Exit: Stop Loss at 2.4% (1 condition)
- Exit: Take Profit at 4.7% (1 condition)
- Exit: SL: Fib Retracement 78.6% (PYPL@1d) (1 condition)
Shared strategy rules
Rule configuration
{
"data_dependencies": [
{
"symbol": "STOCK:PYPL",
"timeframe": "1d"
}
],
"entry_rules": [
{
"conditions": [
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "close",
"type": "price"
},
"operator": "less_than",
"right": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"indicator": {
"name": "ema",
"period": 20
},
"type": "indicator"
}
},
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "close",
"type": "price"
},
"operator": "less_than_or_equal",
"right": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "lower",
"indicator": {
"name": "bollinger_bands",
"period": 20,
"std_dev": 2
},
"type": "indicator"
}
},
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"indicator": {
"name": "rsi",
"period": 14
},
"type": "indicator"
},
"operator": "less_than",
"right": {
"type": "constant",
"value": 40
}
},
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"indicator": {
"name": "rsi",
"period": 14
},
"type": "indicator"
},
"operator": "greater_than",
"right": {
"type": "constant",
"value": 25
}
},
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "adx",
"indicator": {
"name": "adx",
"period": 14
},
"type": "indicator"
},
"operator": "greater_than",
"right": {
"type": "constant",
"value": 20
}
},
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"indicator": {
"name": "obv"
},
"type": "indicator"
},
"operator": "greater_than",
"right": {
"type": "constant",
"value": 0
}
},
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "low",
"type": "price"
},
"operator": "less_than_or_equal",
"right": {
"rank": 1,
"type": "support_level"
}
},
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "close",
"type": "price"
},
"operator": "greater_than",
"right": {
"rank": 1,
"type": "support_level"
}
},
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "low",
"type": "price"
},
"operator": "less_than_or_equal",
"right": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"ratio": 500,
"type": "fibonacci_retracement"
}
},
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "close",
"type": "price"
},
"operator": "greater_than",
"right": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"ratio": 500,
"type": "fibonacci_retracement"
}
}
],
"direction": "long",
"enabled": true,
"id": "entry_1",
"name": "EMA/BB/RSI/ADX/OBV Signal Long (PYPL@1d)",
"priority": 1,
"trade_symbol": "STOCK:PYPL"
}
],
"exit_rules": [
{
"applies_to": "both",
"conditions": [
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "close",
"type": "price"
},
"operator": "greater_than_or_equal",
"right": {
"type": "constant",
"value": 58.5
}
},
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "close",
"type": "price"
},
"operator": "less_than",
"right": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"indicator": {
"name": "ema",
"period": 20
},
"type": "indicator"
}
},
{
"left": {
"field": "holding_period_bars",
"type": "position"
},
"operator": "greater_than_or_equal",
"right": {
"type": "constant",
"value": 30
}
}
],
"enabled": true,
"id": "exit_1",
"name": "Position Exit Rule (PYPL@1d)",
"priority": 1,
"purpose": "signal"
},
{
"applies_to": "both",
"conditions": [
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "close",
"type": "price"
},
"operator": "greater_than_or_equal",
"right": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"ratio": 1272,
"type": "fibonacci_extension"
}
}
],
"enabled": true,
"id": "exit_2",
"name": "TP: Fib Extension 127.2% (PYPL@1d)",
"priority": 96,
"purpose": "take_profit",
"target_symbol": "STOCK:PYPL"
},
{
"applies_to": "both",
"conditions": [
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "close",
"type": "price"
},
"operator": "crossed_above",
"right": {
"rank": 2,
"type": "support_level"
}
}
],
"enabled": true,
"id": "exit_3",
"name": "SL: Below Support[2] (PYPL@1d)",
"priority": 100,
"purpose": "stop_loss",
"target_symbol": "STOCK:PYPL"
},
{
"applies_to": "both",
"conditions": [
{
"left": {
"field": "unrealized_pnl_percent",
"type": "position"
},
"operator": "less_than_or_equal",
"right": {
"type": "constant",
"value": -2.3746428571428573
}
}
],
"enabled": true,
"id": "exit_4",
"name": "Stop Loss at 2.4%",
"priority": 100,
"purpose": "stop_loss"
},
{
"applies_to": "both",
"conditions": [
{
"left": {
"field": "unrealized_pnl_percent",
"type": "position"
},
"operator": "greater_than_or_equal",
"right": {
"type": "constant",
"value": 4.7492857142857146
}
}
],
"enabled": true,
"id": "exit_5",
"name": "Take Profit at 4.7%",
"priority": 100,
"purpose": "take_profit"
},
{
"applies_to": "long",
"conditions": [
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "close",
"type": "price"
},
"operator": "less_than",
"right": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"ratio": 786,
"type": "fibonacci_retracement"
}
}
],
"enabled": true,
"id": "exit_6",
"name": "SL: Fib Retracement 78.6% (PYPL@1d)",
"priority": 100,
"purpose": "stop_loss"
}
],
"position_sizing": {
"max_position_percent": 25,
"method": {
"fib_stop_ratio": 786,
"risk_percent": 2.3746428571428573,
"type": "fixed_risk"
},
"min_position_value": 100
},
"trigger_timeframe": "1d",
"version": 1
}Indicator configuration
{
"indicators": [
{
"name": "ema",
"period": 20
},
{
"name": "bollinger_bands",
"period": 20,
"std_dev": 2
},
{
"name": "rsi",
"period": 14
},
{
"name": "adx",
"period": 14
},
{
"name": "obv"
}
]
}Parsed strategy
{
"data_dependencies": [
{
"symbol": "STOCK:PYPL",
"timeframe": "1d"
}
],
"entry_rules": [
{
"conditions": [
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "close",
"type": "price"
},
"operator": "less_than",
"right": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"indicator": {
"name": "ema",
"period": 20
},
"type": "indicator"
}
},
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "close",
"type": "price"
},
"operator": "less_than_or_equal",
"right": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "lower",
"indicator": {
"name": "bollinger_bands",
"period": 20,
"std_dev": 2
},
"type": "indicator"
}
},
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"indicator": {
"name": "rsi",
"period": 14
},
"type": "indicator"
},
"operator": "less_than",
"right": {
"type": "constant",
"value": 40
}
},
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"indicator": {
"name": "rsi",
"period": 14
},
"type": "indicator"
},
"operator": "greater_than",
"right": {
"type": "constant",
"value": 25
}
},
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "adx",
"indicator": {
"name": "adx",
"period": 14
},
"type": "indicator"
},
"operator": "greater_than",
"right": {
"type": "constant",
"value": 20
}
},
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"indicator": {
"name": "obv"
},
"type": "indicator"
},
"operator": "greater_than",
"right": {
"type": "constant",
"value": 0
}
},
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "low",
"type": "price"
},
"operator": "less_than_or_equal",
"right": {
"rank": 1,
"type": "support_level"
}
},
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "close",
"type": "price"
},
"operator": "greater_than",
"right": {
"rank": 1,
"type": "support_level"
}
},
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "low",
"type": "price"
},
"operator": "less_than_or_equal",
"right": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"ratio": 500,
"type": "fibonacci_retracement"
}
},
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "close",
"type": "price"
},
"operator": "greater_than",
"right": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"ratio": 500,
"type": "fibonacci_retracement"
}
}
],
"direction": "long",
"enabled": true,
"id": "entry_1",
"name": "EMA/BB/RSI/ADX/OBV Signal Long (PYPL@1d)",
"priority": 1,
"trade_symbol": "STOCK:PYPL"
}
],
"exit_rules": [
{
"applies_to": "both",
"conditions": [
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "close",
"type": "price"
},
"operator": "greater_than_or_equal",
"right": {
"type": "constant",
"value": 58.5
}
},
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "close",
"type": "price"
},
"operator": "less_than",
"right": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"indicator": {
"name": "ema",
"period": 20
},
"type": "indicator"
}
},
{
"left": {
"field": "holding_period_bars",
"type": "position"
},
"operator": "greater_than_or_equal",
"right": {
"type": "constant",
"value": 30
}
}
],
"enabled": true,
"id": "exit_1",
"name": "Position Exit Rule (PYPL@1d)",
"priority": 1,
"purpose": "signal"
},
{
"applies_to": "both",
"conditions": [
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "close",
"type": "price"
},
"operator": "greater_than_or_equal",
"right": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"ratio": 1272,
"type": "fibonacci_extension"
}
}
],
"enabled": true,
"id": "exit_2",
"name": "TP: Fib Extension 127.2% (PYPL@1d)",
"priority": 96,
"purpose": "take_profit",
"target_symbol": "STOCK:PYPL"
},
{
"applies_to": "both",
"conditions": [
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "close",
"type": "price"
},
"operator": "crossed_above",
"right": {
"rank": 2,
"type": "support_level"
}
}
],
"enabled": true,
"id": "exit_3",
"name": "SL: Below Support[2] (PYPL@1d)",
"priority": 100,
"purpose": "stop_loss",
"target_symbol": "STOCK:PYPL"
},
{
"applies_to": "both",
"conditions": [
{
"left": {
"field": "unrealized_pnl_percent",
"type": "position"
},
"operator": "less_than_or_equal",
"right": {
"type": "constant",
"value": -2.3746428571428573
}
}
],
"enabled": true,
"id": "exit_4",
"name": "Stop Loss at 2.4%",
"priority": 100,
"purpose": "stop_loss"
},
{
"applies_to": "both",
"conditions": [
{
"left": {
"field": "unrealized_pnl_percent",
"type": "position"
},
"operator": "greater_than_or_equal",
"right": {
"type": "constant",
"value": 4.7492857142857146
}
}
],
"enabled": true,
"id": "exit_5",
"name": "Take Profit at 4.7%",
"priority": 100,
"purpose": "take_profit"
},
{
"applies_to": "long",
"conditions": [
{
"left": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"field": "close",
"type": "price"
},
"operator": "less_than",
"right": {
"chart_ref": {
"symbol": "STOCK:PYPL",
"timeframe": "1d"
},
"ratio": 786,
"type": "fibonacci_retracement"
}
}
],
"enabled": true,
"id": "exit_6",
"name": "SL: Fib Retracement 78.6% (PYPL@1d)",
"priority": 100,
"purpose": "stop_loss"
}
],
"position_sizing": {
"max_position_percent": 25,
"method": {
"fib_stop_ratio": 786,
"risk_percent": 2.3746428571428573,
"type": "fixed_risk"
},
"min_position_value": 100
},
"trigger_timeframe": "1d",
"version": 1
}Strategy instructions
Trading agent generated from recommendation idea 'Massive $53B buyout bid for PayPal — ride the merger premium'. Thesis: A massive $53 billion buyout bid for PayPal creates a clear pricing target for the stock. Because the offer is reportedly at a 28% premium to Tuesday's closing price, PayPal shares have a strong magnetic pull toward that higher valuation. Even if the deal takes months to close or faces regulatory review, shares typically stay bid near the offer price as arbitrage funds step in.
Performance
No trade count, win rate, or realized P&L figures are provided in this public preview. The thesis and shared rules do not establish a performance record.
What this public preview can establish
- The dated rule snapshot above shows the conditions evaluated at that time. It does not prove a current trigger or executed trade.
- Technical strategy fields are shared above. Inspect the actual conditions and check when they were evaluated before relying on them.
- No trade count, win rate, or P&L figure is published in this preview. It cannot establish a performance record.
Explore
How CommonQuant researches and tests strategies · Public paper-trading record and its limits · Discover public strategies