Turning the crypto chaos into consistent alpha! 🚀
My RSI-volume hybrid algo just nailed another run on BNB, BTC, ETH, and many more, spotting those golden entries on dips and exits at peaks. Risk-adjusted returns? I'd rate this strat a solid 9/10 for its edge and robustness. What's your take—genius or room for tweaks? This is just one powerhouse from my arsenal of algos.
Shipping two local-first macOS tools we built for ourselves:
DevScope — machine-wide activity inspection and process control, no cloud, no telemetry.
ClipVault — encrypted clipboard workspace: consent-gated capture, sensitive-value filtering, on-device search.
Apache-2.0 · pre-1.0 · Apple silicon
DevScope → https://t.co/dHrM4OW7Yq
ClipVault → https://t.co/v0JaQU0OUL
Crypto market-data failures are often quiet: dropped updates, broken book sequences, bad reconnects.cryptofeed-rs is RSI Tech’s open-source Rust engine for multi-exchange feeds, built around exact data and visible failure modes.Alpha. Feedback welcome:
https://t.co/svrzzHP703
🚀 My algo trading strategy is crushing it! A Sharpe Ratio of 5.39 means top-tier risk-adjusted returns, while a profit factor of 2.28 shows profits more than double the losses. 📈
Here’s the breakdown:
Win Rate: 56.44% ✅
Avg. Pnl per Trade: 0.0198 💰
Max Drawdown: 1.5880 🛡️
Avg. Holding Time: 15.89 hrs ⏱️
With 264 trades and a total realised Pnl of 5.2259, this strategy delivers solid gains with smart risk management. Traders, what do you think—would you run these numbers? 🤔