20 Example case of pump fun pump swap sniper bot strategy (2) - deniyuda348/pump-fun-pump-swap-sniper-copy-bot GitHub Wiki

Case 21: Flash Crash Recovery Pattern

Scenario: Sudden price crash followed by immediate recovery

  • Entry Price: $1.00
  • Flash Crash: $1.00 → $0.75 → $1.05 (all within 10 seconds)
  • Stop Loss: $0.80 (not triggered due to speed)
  • Recovery: Price stabilizes at $1.05
  • Action: Hold position, monitor for stability
  • Final Exit: Take profit at $1.07 after 15 minutes
  • Result: 7% profit despite temporary 25% drawdown

Case 22: Pump and Dump Detection

Scenario: Artificial price pump with volume anomalies

  • Entry Price: $1.00

  • Pump Phase: $1.00 → $1.25 in 2 minutes

  • Volume: 10x normal volume spike

  • Liquidity: Drops from 20 SOL to 8 SOL rapidly

  • Actions:

  • Volume spike trigger: Sell 50% at $1.22

  • Liquidity drop trigger: Sell remaining 50% at $1.18

  • Dump Phase: Price crashes to $0.60 after exit

  • Result: 20% average profit, avoided 40% loss

Case 23: Gradual Bleed with False Hopes

Scenario: Slow decline with occasional small pumps

  • Entry Price: $1.00

  • Pattern: $1.00 → $0.95 → $1.02 → $0.88 → $0.98 → $0.82

  • Time: 45 minutes of gradual decline

  • Multiple Triggers:

  • Progressive sells at each small pump

  • Volume drops during declines

  • Final Action: Stop loss at $0.80

  • Result: -20% loss, but prevented further decline to $0.50

Case 24: Whale Manipulation Pattern

Scenario: Large holder creating artificial price movements

  • Entry Price: $1.00

  • Whale Activity: Large buy orders creating fake support

  • Price Action: $1.00 → $1.12 → $0.95 → $1.08 → $0.88

  • Volume Pattern: Irregular spikes during pumps

  • Strategy Response:

  • Trailing stop activated at $1.08

  • Progressive sells during retracements

  • Final Exit: $0.95 (trailing stop triggered)

  • Result: -5% loss, avoided manipulation trap

Case 25: Network Congestion Impact

Scenario: Blockchain congestion affects trading execution

  • Entry Price: $1.00
  • Target Exit: $1.07 (take profit triggered)
  • Network Issue: High gas fees, slow transactions
  • Actual Exit: $1.04 (3-minute delay in execution)
  • Slippage: 3% due to network congestion
  • Result: 4% profit instead of 7%, but strategy adapted

Case 26: Multi-Exchange Arbitrage Opportunity

Scenario: Price differences across exchanges create opportunities

  • Entry Price: $1.00 (Exchange A)
  • Price Discovery: Exchange B shows $1.08
  • Arbitrage Signal: 8% price difference detected
  • Strategy Action: Immediate sell at $1.06 (available price)
  • Market Correction: Prices converge at $1.04
  • Result: 6% profit from arbitrage opportunity

Case 27: Token Migration/Upgrade Event

Scenario: Token undergoing technical upgrade during hold period

  • Entry Price: $1.00
  • Announcement: Token migration in 30 minutes
  • Current Price: $1.03
  • Hold Time: 25 minutes
  • Strategy Decision: Emergency exit before migration
  • Exit Price: $1.02 (slight slippage due to migration fears)
  • Result: 2% profit, avoided migration complications

Case 28: Market-Wide Crash Scenario

Scenario: Entire crypto market crashes simultaneously

  • Entry Price: $1.00
  • Market Event: Major exchange hack news breaks
  • Price Action: All tokens crash 30-50%
  • Our Token: $1.00 → $0.65 in 5 minutes
  • Stop Loss: Triggered at $0.80
  • Market Bottom: $0.45 (35% below our exit)
  • Result: -20% loss, but avoided additional 43% decline

Case 29: Liquidity Pool Manipulation

Scenario: Liquidity providers manipulating pool composition

  • Entry Price: $1.00, Pool: 50 SOL
  • Manipulation: Large LP removes 40 SOL suddenly
  • Price Impact: $1.00 → $1.15 (artificial scarcity)
  • Liquidity Drop: 50 SOL → 10 SOL (80% drop)
  • Strategy Response: Emergency exit at $1.12
  • Post-Exit: Price crashes to $0.70 as manipulation revealed
  • Result: 12% profit, avoided 30% loss

Case 30: Social Media Influence Event

Scenario: Viral social media post affects token price

  • Entry Price: $1.00

  • Viral Event: Major influencer mentions token

  • Price Surge: $1.00 → $1.35 in 10 minutes

  • Volume: 15x normal trading volume

  • Strategy Actions:

  • Volume spike: Sell 40% at $1.30

  • Trailing stop: Activated at $1.25

  • Final exit: $1.20 (trailing stop triggered)

  • Result: 24% average profit on viral momentum

Case 31: Coordinated Bot Attack

Scenario: Multiple trading bots create artificial patterns

  • Entry Price: $1.00

  • Bot Pattern: Synchronized buying/selling every 30 seconds

  • Price Oscillation: $1.00 ↔ $1.06 ↔ $0.98 (repeating)

  • Volume: Consistent but artificial

  • Strategy Response:

  • Progressive sells during each peak

  • Accumulate profits from oscillations

  • Final Position: Reduced to 20% of original

  • Result: 15% profit from pattern recognition

Case 32: Regulatory News Impact

Scenario: Sudden regulatory announcement affects market

  • Entry Price: $1.00
  • News: Government announces crypto restrictions
  • Market Reaction: Immediate 15% drop across all tokens
  • Our Token: $1.00 → $0.85 in 2 minutes
  • Strategy: Stop loss not triggered yet ($0.80 threshold)
  • Recovery: Partial bounce to $0.92
  • Final Action: Manual override, sell at $0.90
  • Result: -10% loss, better than market average of -15%

Case 33: Technical Analysis Breakout Failure

Scenario: Token breaks resistance but fails to sustain

  • Entry Price: $1.00 (at resistance level)

  • Breakout: $1.00 → $1.09 (breaks $1.05 resistance)

  • Volume: Strong on breakout (5x normal)

  • Failure: Price rejects at $1.09, falls to $1.02

  • Strategy Response:

  • Progressive sells triggered at $1.02

  • Volume analysis confirms weakness

  • Final Exit: $0.98 (continued decline)

  • Result: -2% loss, avoided larger breakdown

Case 34: Cross-Chain Bridge Event

Scenario: Token bridging between blockchains affects liquidity

  • Entry Price: $1.00 on Ethereum
  • Bridge Event: Large amount bridged to Solana
  • Liquidity Split: ETH pool: 20 SOL → 8 SOL
  • Price Divergence: ETH: $1.00, SOL: $1.12
  • Strategy: Emergency exit due to liquidity drop
  • Exit Price: $0.96 (slippage due to low liquidity)
  • Result: -4% loss, avoided potential bridge complications

Case 35: Staking Reward Distribution

Scenario: Token holders receive staking rewards affecting price

  • Entry Price: $1.00
  • Reward Event: 5% token distribution to holders
  • Price Adjustment: $1.00 → $0.95 (dilution effect)
  • Hold Time: 45 minutes (before reward snapshot)
  • Strategy Decision: Hold through reward event
  • Post-Reward: Price recovers to $1.04
  • Final Exit: $1.07 (take profit)
  • Result: 7% profit + 5% staking reward = 12% total

Case 36: MEV (Maximal Extractable Value) Attack

Scenario: MEV bots front-run our transactions

  • Entry Price: $1.00
  • Exit Signal: Take profit at $1.07
  • MEV Attack: Bots front-run our sell order
  • Actual Exit: $1.045 (MEV bots extracted 2.5% value)
  • Slippage: Higher than expected due to MEV
  • Result: 4.5% profit instead of 7%, but still positive

Case 37: Liquidity Mining Program Launch

Scenario: New liquidity incentives announced during hold

  • Entry Price: $1.00
  • Announcement: 50% APY liquidity mining starts
  • Market Reaction: Price pumps to $1.18
  • Liquidity Increase: Pool grows from 10 SOL to 45 SOL
  • Strategy Conflict: Take profit vs. hold for mining
  • Decision: Partial exit (70% sold at $1.15)
  • Result: 10.5% profit on sold portion, 30% held for mining

Case 38: Oracle Price Manipulation

Scenario: Price oracle shows different price than market

  • Entry Price: $1.00
  • Market Price: $1.08
  • Oracle Price: $0.95 (manipulation/lag)
  • Arbitrage Opportunity: Price discrepancy detected
  • Strategy Action: Sell at market price $1.06
  • Oracle Correction: Eventually updates to $1.05
  • Result: 6% profit from oracle arbitrage

Case 39: Governance Vote Impact

Scenario: DAO governance vote affects token utility

  • Entry Price: $1.00
  • Vote Topic: Reduce token supply by 20%
  • Vote Progress: 60% in favor with 2 hours left
  • Price Action: $1.00 → $1.14 (anticipation)
  • Strategy: Hold through vote (potential major catalyst)
  • Vote Result: Passes with 75% approval
  • Final Price: $1.25
  • Exit: Scale out at $1.20, $1.22, $1.25
  • Result: 22% average profit from governance play

Case 40: Circuit Breaker Activation

Scenario: Exchange implements circuit breaker during volatility

  • Entry Price: $1.00
  • Volatility: Price swings ±15% in 5 minutes
  • Circuit Breaker: Trading halted for 10 minutes
  • Resume Price: $0.88 (gap down on resume)
  • Strategy Impact: Stop loss couldn't execute during halt
  • Immediate Action: Sell at $0.88 on resume
  • Result: -12% loss, better than potential -20% if continued

Advanced Strategy Insights

These advanced cases demonstrate:

  1. Market Microstructure: Understanding how different market events affect execution
  2. Risk Adaptation: Strategy flexibility during unusual market conditions
  3. Multi-Factor Analysis: Combining price, volume, liquidity, and external factors
  4. Execution Challenges: Real-world trading complications and solutions
  5. Opportunity Recognition: Identifying and capitalizing on market inefficiencies
  6. Crisis Management: Handling extreme market events and technical issues
  7. Information Integration: Processing news, social media, and governance events
  8. Cross-Platform Dynamics: Managing multi-exchange and cross-chain scenarios