Trading Strategies
Trading strategies built on Madjik data feeds.
- ST10001 Tether Mint Signal Strategy
- ST10002 Liquidation Cascade Front-Running
- ST10003 Funding Rate Carry Trade
- ST10004 Whale Flow Replication Strategy
- ST10005 Exchange Counterparty Arbitrage
- ST10006 Stablecoin Peg Stress Trade
- ST10007 Influencer Fade Strategy
- ST10008 Weekend Gap Exploitation
- ST10009 Token Unlock Calendar Short
- ST10010 Volatility Regime Switching
- ST10011 Halving Cycle Momentum
- ST10012 Correlation Breakdown Trade
- ST10013 Miner Capitulation Signal
- ST10014 Fake Volume Filter Strategy
- ST10015 DeFi Yield Reality Check
- ST10016 Regulatory Arbitrage
- ST10017 Sentiment Extreme Contrarian
- ST10018 Criminal Flow Avoidance
- ST10019 Basis Trade Arbitrage
- ST10020 MVRV Mean Reversion
- ST10021 ST10021: Paolo Signal Strategy
- ST10022 ST10022: AI/ML Real-Time Adaptive Strategy
- ST10023 ST10023: Regulated Instrument Hedging Strategy
- ST10024 ST10024: Counterparty Risk Survival Strategy
- ST10025 ST10025: Classical Technique: Dollar Cost Averaging (DCA)
- ST10026 ST10026: Classical Technique: Moving Average Crossovers
- ST10027 ST10027: Classical Technique: RSI Trading
- ST10028 ST10028: Classical Technique: Bollinger Bands
- ST10029 ST10029: Classical Technique: Swing Trading
- ST10030 ST10030: Classical Technique: Scalping
- ST10031 ST10031: Classical Technique: Protective Put Strategy
- ST10032 ST10032: Classical Technique: Collar Strategy
- ST10033 ST10033: Classical Technique: Arbitrage Trading
- ST10034 ST10034: Classical Technique: Yield Farming & Staking
- ST10035 ST10035: Using Madjik API for AI, ML, A2A and MCP
