#MyStrategyEvolution
How My $BTC Trading Style Has Evolved 🚀
🔹 Where I Started (Early 2025)
▪️ Embraced trend-following: riding momentum via moving-average crossovers (50/100 SMA)
▪️ Used simple grid trading: automated buy/sell within set price bands—helped accumulate during ranges, but plateaued
🔹 Pivot to Data-Driven Edge (Mid-2025)
▪️ Added technical breakouts: caught the $118K surge after BTC broke a descending channel with volume—confirmed bullish bias
▪️ Introduced risk controls: clear stop losses at -2% per trade, scaling in during dip rebounds
🔹 Scaling Up with Institutional Signals (July 2025)
▪️ Tracking ETF flow signals: $1.18 b inflows into BTC ETFs often signal momentum shifts
▪️ Monitoring on-chain & macro cues: whales accumulating, govt reserves growing, Fed moves → better entry/exit timing
🔹 My Current Hybrid Model
▪️ Trend + Breakouts: wait for trend channel breach & EMA confirmation
▪️ Grid/Grid Rebalance: dynamic grid layered within high-conviction zones
▪️ Macro Overlay: use ETF inflows and Fed policy chatter to adjust position sizing
▪️ Dynamic Stops: hedge + trailing stops to lock gains
🔹 Why It Works
▪️ Combines momentum, structure, and macro in one playbook
▪️ Adapts to high-volatility breakouts and quieter sideways periods
▪️ Built clear triggers and risk thresholds—no guesswork
🔹 What’s Next?
▪️ Testing ML-driven position sizing (inspired by RNN models)
▪️ Exploring changepoint-aware momentum (fast reaction to regime shifts)
▪️ Considering staking yield integration as hedging through ETH or stablecoins
🔹 Your Turn!
▪️ What strategies have you added over time?
▪️ How do you mix macro signals with your entry/exit?
▪️ Reply with 🔹 your evolution & let’s learn together!
#CryptoTrading #BTC #StrategyEvolution #TrendFollowing #BreakoutTrading #SmartRisk #CryptoJourney
