C++ dev building Whale-E, a local crypto trading bot.
Ultra-fast TradingView-aligned backtesting/grid search optimization available now. UI and live mode next.
I'm building Whale-E: powerful, easy-to-use local crypto trading software.
Available now: an ultra-fast C++ backtesting and grid-search optimization engine, with TradingView-aligned results.
Next: a strategy editor, then live execution.
https://t.co/zDGqjJXKsj
8.86 secondsβ¦π€―
The 100m record has fallen once again.
It started at 9.39 seconds on the opening night, dropped to 9.32, and now Tiangong has clocked an incredible 8.86 seconds in the first semi-final heat.
Sub-9 seconds.
And the final is still to come.
The head of trading at the world's largest CFD broker (IC Markets), on discretionary vs systematic trading:
"I've looked at hundreds of thousands of traders over the years... The client who I'd put my own money behind is the system trader... The discretionary trader is someone who looks good for a period of time and then blows up in spectacular fashion."
Wow. Thatβs a hell of a statement. Full interview here: https://t.co/Jsui550fcx
Most traders use Donchian Channels to chase breakouts.
What if that same signal was actually a buying opportunity?
Strategy #20 reverses the Donchian Channel and the backtest results across 26 years speak for themselves.
Here's how it works and how it looks like:
Whale Engine just hit 1.1 billion candles per second on a simple breakout strategy with an i9-14900K.
That speed opens the door to embedding walk-forward and cross-symbol validation directly into grid-search strategy optimization.
Strategy link: https://t.co/xvLRSXCOtn
Now available: Whale-E, a high-performance crypto strategy backtesting engine for exhaustive grid search. TradingView-aligned, 20x to 200x faster than typical Python workflows, with TOML strategies and Pine Script export. https://t.co/zDGqjJXKsj