This script finds potential safe grids placing limit orders without fear of missing out.

This script computes grids according to power of 1.0025 .

You can reference those price levels for your trading.

Introduction

Grid trading is a popular trading method.

Traders plan several price levels as grids and repeat buying at lower grids and selling at higher grids.

Grids can be round number like multiple of 100 pips.

Grids can also be support and resistance according to price history.

Some traders may think they need to adjust grids to trade.

However, there are several problems in choosing grids.

One problem is rate of change is related and therefore exponential. 20 to 30 is different from 30 to 40 .

Another interesting point is there are some special impressing reversal price levels.

Several months ago, I had a question why usdjpy bounced near 108.3 .

After using a calculator, I found that 108.3 = 100 * 1.083 ≒ 100 * pow(1.0025,31) .

1.0025 , as known as 0.25% of change, is a potential stop out zone.

Therefore, we can compute grids and one grid is a little more than 1.0025 times than an another one.

After we finished computing grids, we can consider buy and sell near those grids.

Note that different traders may obtain different grid values.

For example, from 1.0 to 2.0 , it can be splited as 270 grids or 277 grids because pow(1.0025,277)<2 .

Those grids cannot always imply potential reversal points but they can be useful for traders looking for 0.25% profit targets with reducing fearing of buying or selling too early.

Computing grids

This script split from 1.0 to 10.0 into three segments.

One is 1.0 to 2.0 .

The second segment is from 2.0 to 5.0 .

The third segment is from 5.0 to 10.0 .

This script does the same thing for 0.1 to 1.0 , 10.0 to 100.0 , and so on.

For 1.0 to 2.0 and 5.0 to 10.0 , this script split a segment as 270 grids.

For 2.0 to 5.0 , this script split a segment as 360 grids.

The last step is display the next grids to the daily low and daily high.

Maybe also display the grids behind grids shown.

Parameters

x1,x2,x3,x4 : display the next x1,x2,x3,x4 grids to daily high and daily low. 1 means the next grid to daily high and daily low. 2 means the next grid to 1.

x_seg : default 2.0 . This script split from 1.0 to 10.0 into three segments. One is 1.0 to x_seg. The second segment is from x_seg to 10.0/x_seg . The third segment is from 10.0/x_seg to 10.0 .

x_grid1 : how many grids in the first segment

x_grid2 : how many grids in the second segment

x_lowprice : add this number for bigger grid distance. Generally, you don't need this number when trading forex but you may need it in stock trading. For stocks with price between 50 to 100, I recommend you use x_lowprice=100.

Conclusion and suggestions

This script can find potential grids for trading.

If price touches grids usually, we can consider buy and sell after price touches grids.

If price reverses before touching grids usually, we may consider buy and sell before price touches grids.

Those grids can remind us don't buy too much unless the price touches the next grid.

For instruments with less volatility , maybe we need more grids.

For traders with more money, they may also consider more grids for more dedicated range trading to collect more profit.

Reference

Sorry, I forgot them.