shardison

Livestock Boss Indicator

shardison 已更新   
Livestock Risk Protection Indicator strictly for purposes of producers buying or agents selling USDA/RMA Livestock Risk Protection Insurance Products.

This script uses the Slow Stochastic indicator to help identify good buying opportunities for Livestock Risk Protection, Livestock Gross Margin and/or Dairy Revenue crop insurance policies.

The indicator should be used in conjunction with other trend following indicators such as Relative Strength Index (2-day) or Williams%R (30-day) to help qualify trends or reversals. For example, when the Willams%R or Slow Stochastic is below -50 and 50 respectively but the RSI (2 day) rises above 85 it may be a good buying opportunity as the trend is down to sideways and we need to establish our risk management position.

Add the "LRP BOSS Indicator" to a daily chart for Feeder Cattle (symbol: GF), Live Cattle (symbol: LE) or Hogs (symbol: HE). You can use a continuous contract as symbol such as GF1! (1! notation is front month, while 2! is second month (e.g. During February the symbol GF1! would be March Feeder Cattle until March expiration and then it becomes the April contract, while GF2! would be the April contract in February and roll to August after April Expiration.).

TIPS:
  • If you know the approximate LRP endorsement length then you can use the contract month that is closest to that for the symbol (e.g. during January a 13-week LRP endorsement would be closest to the April Contract, so you would use symbol "J" or GFJ2022)
  • Create an alert to send to notify yourself when a signal happens (alerts may be desktop alerts, email and SMS).

版本注释:
  • Renamed Livestock Boss Indicator
    Added %R Signal based on 3-day consecutive close of Williams%R
    Added RSI Signal based on close below MA and 2-day RSI above Overbought.
    Changed Color Template

Need seasonals for futures data on NQ, ES, YM, or other commodities. Check out www.agresticresearch.com.
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作者的说明

This indicator is included for free as part of your paid subscription to our seasonal analysis. Subscribe to our seasonal analysis www.agresticresearch.com

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