OPEN-SOURCE SCRIPT

Mid to High daily % - MA & Threshold

アップデート済
Purpose of this script is to provide a metric for comparing crypto volatility in terms of the % gain that can be garnished if you buy the midpoint price of the day and sell the high***. I'm specifically using bots that buy non-stop. This metric makes it easy to compare crypto coins while also providing insight on what a take profit % should be if I want to be sure it closes often instead of getting stuck in a position.

Added a few moving averages of (Mid-range to High Daily %). When these lines starts to trend down, it's time to lower the take profit % or move on to the next coin.

Decided to add a threshold so I could easily mark where I think the (Mid-range to High Daily %) is for most days.
Ex. I can mark 10% threshold and can eyeball roughly ~75% of the days in the past month or so were at or above that level. Then I know I have plenty volatility for a bot taking 5% profit. Also if you have plenty of periodic poke-through that month (let's say once a week) you might argue that you can set it to 7% if you're willing to wait about that long. Either way this metric is conservative because it is only the middle of the range to the high, a less conservative version might provide the % gain if you bought the day low and sold the day high.

***Since this calculation only takes the middle of the range and the high of the day into account, red days are volatile against a buyer but to your advantage if you are a seller. BUT if you have plenty of safety buy orders this volatility in price only means your total purchase volume increases and when/if you reach a take profit level you sell more there.

Would like to upgrade and add a separate MA line for green days and a separate MA line for red days to discern if that particular coin has a bias. Also would like to include some statistics on how many candles are above or below threshold for a certain period instead of eyeballing.
リリースノート
Changed the chart on display.
3commasbottraderbottradingcryptocryptosignalsHigh-Low IndexMoving AveragesOscillatorsvolatilitydailyvolatilityspikevolatilitytrend

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