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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 次观看 • 2 个月前 •via X (Twitter)

10 条评论

Tomis Gottenberger 的头像
Tomis Gottenberger2 个月前

Please bring non time bars.

auf 的头像
auf2 个月前

Adding to my workflow rn

Lily Vale 的头像
Lily Vale2 个月前

Really inspiring! 🚀 Let's talk.

evgeniy 的头像
evgeniy2 个月前

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

.smirk 的头像
.smirk2 个月前

Y'all shipping 🔥

OFFICIAL 的头像
OFFICIAL2 个月前

This us a solid one

traseq 的头像
traseq1 个月前

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.

Zabadi 的头像
Zabadi2 个月前

You're cooking 🔥🔥

Fundai 的头像
Fundai2 个月前

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

LiquidVol 的头像
LiquidVol2 个月前

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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Axel Bitblaze 🪓

57,633 次观看 • 3 个月前