astre_ts

Killstats

Backtest and identify at what times/days the high/low were formed. The periods are shown on the graph along with detailed statistics.

Exemple with "days : 600" and "13h : top 12%" : we understand that over 600 days, in 12% of the cases we have formed the top of the day at 13h.

up to 1000+ days studied to find favorable reversal time slots: killstats! The data presented can sometimes be... surprising.

Increasing/decreasing the timeframe on chart = increase/decrease the studied period.

A period of 1000 days ( UT : h1) allows to have solid but not exact statistics.
A period of 30 days allows to have current statistics but too little sample to know if the data is relevant.
I recommend looking for intersections of killstats over several periods: If over 1000 days AND 30 days, 3pm was a time with a high probability of forming a top, it is interesting to look for short positions between 3pm and 4pm.

The data is displayed in the form of a diagram whose visual allows to identify effective time slots.

Caution. Timeframe: h1 maximum for the study of the day's high/low to be correct - and daily maximum for the study of the week's high/low.
Caution2. Match the timezone with the input (by default set to GMT+1). So if you are at GMT+2, you must put "2" in timezone.

I recommend using this as part of an aggressive high frequency scalping strategy to make the most of your trading session - with the aim of quickly moving to TP1/BE and leaving your winning position open.

Most aggressive TradingView/MT4/MT5 trading setup on the market. Pure juice concentrated from SMC/ICT, divergences and PA!

Snipe the institutional levels! 🐋🏹
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作者的说明

Contact me at @astre_ts on telegram or TradingView for free trials

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