After the $100 poll, I allocated $61.51 to test a DCA bot on $TAO – known for its volatility and solid fundamentals.
Image 1: Summary table of TAO DCA bot performance (Day 1).The bot will deploy a total of $61.51 USDT if needed across 5 orders, acquiring 0.24 TAO at an average cost of $261.37. Each subsequent entry used larger amounts (from $7.50 up to $21.02), enhancing the impact of lower price buys. At the time of capture, the market price had recovered to over $310 USDT, surpassing the break-even point. The remaining $38.49 USDT from the initial $100 budget will be reserved for future opportunities in other assets, maintaining flexibility and risk control within the experiment. 🟢 What happened?
The bot started with a base order at $318.90, and as the price drops, it will trigger 4 additional buy orders down to $224.52.
📊 Why is this powerful?
Each new order was placed with calculated price deviation – buying more as it drops, lowering the average entry price (from $318.90 → $261.37).
That means less risk of buying the top, and more chances of hitting profits during quick rebounds 📈
💰 Now: TAO is at $310.8 — above average entry — and showing gains already.
📦 Leftover: $38.49 is reserved to deploy in new assets when opportunities arise.
🧪 It’s all part of this slow but steady experiment — stacking, compounding, and staying disciplined.
Let’s see how this unfolds and takes to earn 100 USDT. 🚀
Image 2: TAO/USDT price chart with executed DCA entries on Binance.This chart captures the setup of the DCA bot as it entered TAO during a volatile decline. The bot began with a base order at $318.90, then it will execute 4 additional buys as price drops, at levels down to $224.52. These entries followed a spacing strategy using fixed percentage deviations (4%, 9.72%, 17.90%, and 29.60%), designed to capture deeper dips and reduce risk exposure. The rebound after the final entry zone confirms the bot's ability to average down effectively. 
