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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 просмотров • 2 месяцев назад •via X (Twitter)

Комментарии: 10

Фото профиля Tomis Gottenberger
Tomis Gottenberger2 месяцев назад

Please bring non time bars.

Фото профиля auf
auf2 месяцев назад

Adding to my workflow rn

Фото профиля Lily Vale
Lily Vale2 месяцев назад

Really inspiring! 🚀 Let's talk.

Фото профиля evgeniy
evgeniy2 месяцев назад

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

Фото профиля .smirk
.smirk2 месяцев назад

Y'all shipping 🔥

Фото профиля OFFICIAL
OFFICIAL2 месяцев назад

This us a solid one

Фото профиля traseq
traseq1 месяц назад

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.

Фото профиля Zabadi
Zabadi2 месяцев назад

You're cooking 🔥🔥

Фото профиля Fundai
Fundai2 месяцев назад

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

Фото профиля LiquidVol
LiquidVol2 месяцев назад

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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98,041 просмотров • 2 месяцев назад

I built my own charting platform with Claude Fable, and it does a few things Tradingview straight up can't.. I call it EchoCharts.. so what it basically does is 1) Echoes: this is the big one. it takes the exact shape price action is forming right now them scans thousands of past candles, and finds every time the market looked just like this before. then it shows you what happened next. it'll tell you something like "20 matches, 30% closed higher 24 bars later, median -0.05%", and it draws those past paths forward on the chart so you see the full spread. 2) Sketch search: draw any shape with your mouse, and it finds where price actually did that in real history, then jumps you straight to it. great for the patterns you can feel but can't name. 3) Market clock: A 24-hour dial showing when this market actually moves. volatility, direction and volume, split by hour of the day and day of the week. so you stop trading dead hours and start trading when it counts. plus the basics done clean, candles, volume, a moving average, and RSI. So how it basically works is, it all runs on real binance data, 6,000 live candles.. Echoes matches the shape of the move using correlation, not the price level, so a setup today of bitcoin:native at $63K can match one from years ago at $10K and it only ever looks at fully finished history, it never peeks at the future, so the "what happened next" numbers stay honest. Now, Here’s how i built it: i described what i wanted and claude fable built it. plain javascript, the lightweight-charts library for the chart, around 700 lines, no framework. static site, opens in any browser. one thing i'll be straight about, echoes shows you what happened after similar setups in the past. that's history, not a prediction. it shows you the lay of the land, it doesn't call the future. might open-source the whole thing soon.

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