AI trading signals based on confluence, not hunches.
Pick your markets
Point Confluence at the tickers and timeframes you actually trade.
Most signal services spam alerts from one indicator. Real edge comes from confluence — multiple independent conditions agreeing — which is tedious to check by hand across markets.
Active traders who want signals that only fire when multiple factors agree — people burned by single-indicator alert spam who value confluence and discipline over noise.
Confluence is a trading-signal web app with a Python analysis engine at its core. Instead of firing alerts off a single indicator, it scores setups by how many independent factors line up — the way disciplined traders actually evaluate a trade — and surfaces only high-confluence signals.
The software that actually made it possible.
"Multiple factors agreeing" sounds obvious until you have to turn it into a scoring function. The trap is quietly rebuilding a single indicator with extra steps.
A paper shadow answers some questions a backtest can't. But there's a ceiling on what any forward test tells you, and it's set by sample size, not time.
The backtest says one thing, the paper shadow says another. Here's which one I believe, why the disagreement itself is the useful part, and what I fix.
A backtest is a description of the past, not evidence about the future. Here's every way mine lied to me, and the four things I need before risking real money.
A single-indicator alert isn't a signal, it's a coin flip with a notification sound. Here's why they fail and how scoring for confluence fixes each failure.
Most signal services fire off a single indicator and call it a setup. Real traders wait for things to agree. So that's what I built.