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Strategy backtesting is live on OpenMarket. Free, for everyone. Most backtesters simulate a market that doesn't exist: no funding, no liquidations, fills at exactly the price you hoped for. Ours simulates the market you actually trade. Trade perps? Declare instrument="perps" and the engine runs real isolated-margin math: it tracks...

10,021 Aufrufe • vor 2 Monaten •via X (Twitter)

10 Kommentare

Profilbild von Tomis Gottenberger
Tomis Gottenbergervor 2 Monaten

Please bring non time bars.

Profilbild von auf
aufvor 2 Monaten

Adding to my workflow rn

Profilbild von Lily Vale
Lily Valevor 2 Monaten

Really inspiring! 🚀 Let's talk.

Profilbild von evgeniy
evgeniyvor 2 Monaten

> we resolve it with finer recorded data, down to 1m

Profilbild von .smirk
.smirkvor 2 Monaten

Y'all shipping 🔥

Profilbild von OFFICIAL
OFFICIALvor 2 Monaten

This us a solid one

Profilbild von traseq
traseqvor 1 Monat

The setup is worth discussing. I would want Move spot fees, slippage, symbol universe, and date range before the headline result. before giving the conclusion much weight. Without that boundary, the reply can sound smart without improving the decision.

Profilbild von Zabadi
Zabadivor 2 Monaten

You're cooking 🔥🔥

Profilbild von Fundai
Fundaivor 2 Monaten

Perp funding is a cleaner signal when it is checked against venue liquidity. The signal is stronger if positioning persists without liquidity thinning out.

Profilbild von LiquidVol
LiquidVolvor 2 Monaten

Tick data solves event ordering, but not counterfactual execution. Once a strategy places an order, it changes queue position and potentially the book itself. How do you model queue priority, partial fills, cancel latency, and market impact when the historical tape never contained that order?

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