I’m a big bull on LINK and trade it under strict parameters But the reality is manual execution have been the biggest friction in my playbook Until now! With the Almanak Strategy Builder, that friction is gone I built three strategies in under an hour and deployed them on-chain Something that would’ve taken days or months before, in my case, would be impossible because I lack coding skills ▬ LINK MACD Crossover Strategy This strategy trades LINK based on MACD Crossover signals Signal/Indicator Parameters: - Fast EMA Period: 12 - Slow EMA Period: 26 - Signal Line Period: 9 Signal Logic: - Buy Signal: WHEN MACD Line crosses above Signal Line - Sell Signal: WHEN MACD Line crosses below Signal Line ▬ LINK RSI Strategy The strategy trades $LINK based on RSI overbought/oversold signals Signal/Indicator Parameters: - RSI Period: 14 - Overbought Level: 70 - Oversold Level: 30 Signal Logic: - Buy Signal: WHEN RSI crosses below the oversold level - Sell Signal: WHEN RSI crosses above the overbought level ▬ LINKWETH LP Strategy Automated Market Making strategy providing two-sided liquidity to the LINK/WETH Uniswap V3 pool on Ethereum, rebalancing when the price exits the defined range Why this matters? With Almanak: My trades can now execute 24/7 with the exact logic I want. No more missed entries What once required engineers and weeks of QA, is now deployable in minutes by a noob like me It’s the perfect rehearsal for Almanak Token Games. These LINK strategies are my sandbox before I apply similar logic to @almanak token 2 Technical. 1 Liquidity provision. 3 strategies in total A few months ago, I wouldn’t have dreamed of building, let alone deploying, my own quant strategies onchain Today, I have three live 3 verifiable, and auditable strategies doing the work for me I’ll be monitoring performance closely over the next few days and sharing updates and lessons learned If you’re testing algorithmic trading or thinking about the @almanak Token Games, this is the kind of hands-on practice I’d recommend