As you have seen this script is a "stop loss" method.
I have also written a "take profit" one.
And some others with differents algorithms :
I take an example from June 2019. I made around 7 EUR per tx with a volume of 0.019 BTC.
Someday there are more than 10 tx. Some other, the program places sell price upper the rate of the day and there is less tx (trading risks...). In this case we run another "instance" with differents parameters.
With 1 bitcoin and carefully, it is possible to earn 700EUR to 10 times more a day !
$ ./buyfirst
Usage : ./buyfirst <pair> <volume> <standard deviation> (randomtime <min> <max>)
$ ./buyfirst XXBTZEUR 0.0198 132 120 1400
In this example, first order was to buy 0.0198 BTC 132EUR lower than actual rate (at runtime).
Following order will be to sell 0.0198 BTC 132EUR upper than "begin price" (rate at runtime of the script).
Check price randomly between 120 sec. and 23 min. (1400 sec.) (2 last parameters)
We can set 0.5 to 0.501 sec. if relevant ...
We receive an email with last transaction details.
OSZBNZ-VYO5N-E4C4PR opened 2019-06-22 14:36:43 closed 2019-06-22 14:36:43 (UTC)
status : closed
fee : 0.4
expiretm : 0
descr :
leverage : none
ordertype : market
price : 0
close :
pair : XBTEUR
price2 : 0
type : buy
order : buy 0.01980000 XBTEUR @ market
vol : 0.01980000
closetm : 1561214203.35
trades : TIVM4H-DO4NA-CVCGXK
misc :
starttm : 0
limitprice : 0.00000
price : 9120.6
cost : 180.5
reason : None
userref : 0
After this, next bid was to sell 0.0198 BTC 132EUR upper than "begin price" :
OOA4UG-UIU42-CYB3AE opened 2019-06-22 15:00:07 closed 2019-06-22 15:00:07 (UTC)
status : closed
fee : 0.4
expiretm : 0
descr :
leverage : none
ordertype : market
price : 0
close :
pair : XBTEUR
price2 : 0
type : sell
order : sell 0.01980000 XBTEUR @ market
vol : 0.01980000
closetm : 1561215607.56
trades : TGNJHW-DUPP5-JUWNM6
misc :
starttm : 0
limitprice : 0.00000
price : 9461.8
cost : 187.3
reason : None
userref : 0
When a "loop" (first we buy, then sell) is done, volume can be increased, and a new "begin price" is set (rate at runtime of the new "loop").
Here (June 16) I bought at 9120.6 EUR (at 14:36 UTC) and sold at 9461.8 (at 15:00 UTC)
This is just an example but you check these tx on kraken.
Another script keep this same logic but does "sell first".
I wrote an algorithm which does buy or sell now (when we run the script) :
If we do "buy", we bet on price will increase and sell later.
If we do "sell", we bet on price will decrease and buy later
$ ./tradenow
Usage : ./tradenow <buy(now)|sell(now)> <pair> <volume> <standard deviation> (randomtime delay <min> <max>)
You need an account on this platform and to create an API key. Paste it in the same folder than scripts and run.
$ ls
balances config.txt drop_sell.py kraken.key last_bids.py pairs_list.py rise_buy.py sweep_now.py tradeto.py
buyfirst.py get_balance.py kraken.key.old last_orders.py sellfirst.py trade_at.py
closed_orders.py dest.txt kraken.key.save mykraken show_orders.py tradenow.py
$
A good way would be to meet each other then you could see by your own.
