InRank
Backtested S&P 500 signals with deep financial analysis
What it does
InRank helps SP500 traders make data-driven decisions by combining ranked trading strategies with deep stock-level financial analysis. It continuously analyzes 40+ backtested strategies across 8 timeframes using real-time market data, showing what’s actually performing now, providing smart alert configurations. Beyond signals, InRank benchmarks every S&P 500 stock using enhanced, daily-updated financial and EPS metrics.
Does the same job
all alternatives →- RTRead the Tape – Wordle for daytrading, five blind S&P 500 charts a dayJul 2026 · readthetape.cc · ▲70
Read the Tape gives players the same 5 S&P500 stock charts per day to predict. You select low, medium or high confidence and then call the chart UP or DOWN. It's a 1d chart which then resolves over 5 days. Alpha is scored against the Monkey Index, a basket of 11 random coin flips at low confidence which provides a tangible win/lose condition. We're two weeks in and some interesting data is being kicked up. Players like to call tops even though stonks go up- 60% of the 70 charts so far resolve higher, players' down calls have only been right 31% of the time. There's a full stats dive at…
- HFHigh-frequency trading and market-making backtesting tool with examples2024 · github.com · ▲148
- IBI built a tool to find trading signals that aren't just random luckSep 2025 · hikaro.app · ▲9
Hi HN, I'm a solo dev and for the last few months I've been building Hikaro, a tool to find statistically significant trading signals for [e.g., US equities, crypto, forex]. I built this to solve my own problem: I was tired of backtests that looked great on paper but failed in practice. Simple metrics like "win rate" can be misleading, so I wanted a way to quickly tell if a signal's performance was genuine or just noise. Hikaro ingests daily market data and runs statistical analysis on various trading signals. The goal is to surface signals with strong properties, like: Low p-value: Evidence…
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