Botar & Tether
Tether, imagine a robot that can autonomously execute trades based on real-time data streams—no human hand, just algorithms on a moving platform. It could adapt its strategies by learning from market patterns, but still keep a safety lock for risk thresholds. Sounds like a project where precision meets innovation. What’s your take on adding a predictive module to that?
Adding a predictive module is tempting, but it also increases complexity. I’d first audit the data sources for latency, then model the predictive algorithm with a conservative confidence threshold. If the robot can flag when the forecast confidence drops below that threshold, we keep the safety lock intact. It’s a fine balance between precision and risk‑aversion.
Nice, audit first, keep the lock on. If the confidence dips, the robot should just shrug and stop trading—no unnecessary risk. That’s the sweet spot.