ChatGPT at it’s finest: writing short helpful code without having to do fancy work.
The following is a dialog with ChatGPT. I had this script that I would normally have to hand edit all of the ticker symbols by adding them to the end of the lines of code. I am sure there is some clever way using sed or awk but, I figured why not get ChatGPT to help.
ChatGPT then was also able to generate the Tags for this post,by feeding the post into a prompt and I used Stable Diffusion to generate the featured image using the blog title as the prompt. Sometimes it is good to use ChatGPT to proofread as well but, this post was short and simple enough not to do that.
I want to show you an output, in the left column are the ticker symbols for a number of cryptocurrencies, I want you to remember all of them as they will be used in the next question that I will pose…..
Currency Price Available Hold Avail in USD Held in USD
AAVE 98.16 0.0 0.0 0.0
ACH 0.020353 0.0 0.0 0.0
ADA 0.3859 0.0 0.0 0.0
ALGO 0.1341 0.0 0.0 0.0
AMP 0.00248 0.0 0.0 0.0
ANKR 0.0244 0.0 0.0 0.0
ATOM 9.283 0.0 0.0 0.0
AVAX 20.66 0.0 0.0 0.0
AXS 6.8 0.0 0.0 0.0
BAL 3.68 0.0 0.0 0.0
BAND 1.417 0.0 0.0 0.0
BAT 0.21159 0.0 0.0 0.0
BCH 223.72 0.0 0.0 0.0
BNT 0.75 0.0 0.0 0.0
BOND 2.2 0.0 0.0 0.0
BTC 37964.39 0.0 0.0 0.0
CGLD 0.53 0.0 0.0 0.0
COMP 51.17 0.0 0.0 0.0
CRV 0.5658 0.0 0.0 0.0
CVC 0.1102 0.0 0.0 0.0
DAI 0.9999 0.0 0.0 0.0
DOGE 0.08033 0.0 0.0 0.0
DOT 5.263 0.0 0.0 0.0
ETC 18.86 0.0 0.0 0.0
ETH 2054.84 0.0 0.0 0.0
FARM 32.73 0.0 0.0 0.0
FET 0.5347 0.0 0.0 0.0
FIL 4.545 0.0 0.0 0.0
GLM 0.2418 0.0 0.0 0.0
GRT 0.1483 0.0 0.0 0.0
ICP 4.605 0.0 0.0 0.0
KNC 0.7065 0.0 0.0 0.0
LINK 14.588 0.0 0.0 0.0
LOOM 0.0673 0.0 0.0 0.0
LPT 6.33 0.0 0.0 0.0
LRC 0.216 0.0 0.0 0.0
LTC 69.78 0.0 0.0 0.0
MANA 0.4405 0.0 0.0 0.0
MATIC 0.7528 0.0 0.0 0.0
MIR 0.0941 0.0 0.0 0.0
MKR 1483.6 0.0 0.0 0.0
MLN 15.12 0.0 0.0 0.0
NKN 0.1064 0.0 0.0 0.0
NMR 15.68 0.0 0.0 0.0
OGN 0.12922 0.0 0.0 0.0
OMG 1.7217 0.0 0.0 0.0
OXT 0.0724 0.0 0.0 0.0
PLA 0.204 0.0 0.0 0.0
POLY 0.1963 0.0 0.0 0.0
QNT 99.56 0.0 0.0 0.0
REN 0.0823 0.0 0.0 0.0
REQ 0.083 0.0 0.0 0.0
RLC 1.4794 0.0 0.0 0.0
RLY 0.0126 0.0 0.0 0.0
SKL 0.0436 0.0 0.0 0.0
SNX 3.392 0.0 0.0 0.0
SOL 58.2 0.0 0.0 0.0
STORJ 0.7658 0.0 0.0 0.0
UMA 1.953 0.0 0.0 0.0
UNI 6.161 0.0 0.0 0.0
USD 0.01 0.0
USDC 0.0 0.0
XLM 0.118572 0.0 0.0 0.0
XTZ 0.817 0.0 0.0 0.0
YFI 8519.94 0.0 0.0 0.0
ZEC 29.03 0.0 0.0 0.0
ZRX 0.39338 0.0 0.0 0.0
I don’t have the ability to remember information from one interaction to the next, but I can certainly help you analyze or work with the data you’ve provided in this session. If you have a specific question or task related to this cryptocurrency data, feel free to let me know, and I’ll do my best to assist you!
Can you print out all of the symbols in the left column?
Certainly! Here are all the ticker symbols from the left column:
objectivec
AAVE, ACH, ADA, ALGO, AMP, ANKR, ATOM, AVAX, AXS, BAL, BAND, BAT, BCH, BNT, BOND, BTC, CGLD, COMP, CRV, CVC, DAI, DOGE, DOT, ETC, ETH, FARM, FET, FIL, GLM, GRT, ICP, KNC, LINK, LOOM, LPT, LRC, LTC, MANA, MATIC, MIR, MKR, MLN, NKN, NMR, OGN, OMG, OXT, PLA, POLY, QNT, REN, REQ, RLC, RLY, SKL, SNX, SOL, STORJ, UMA, UNI, USD, USDC, XLM, XTZ, YFI, ZEC, ZRX
If you have any specific tasks or questions related to these symbols, feel free to let me know!
OK, good, you remembered them. Now for the next step. I am going to show an example using btc and I would like you to create a listing with all of the ticker symbols from the left column. Example: $DIR/rsi-fractals-avgs-bbands-txt-summary.py btc
Sure, I understand. If you could provide an example of the desired output or clarify the specific format or information you’re looking for related to each ticker symbol (similar to the example you provided with btc), I’d be happy to assist you further.
I am looking for you to create code that has $DIR/rsi-fractals-avgs-bbands-txt-summary.py on every line but with the ticker symbols from the left column appear on that line right after it.
Certainly! It sounds like you want a list of commands where $DIR/rsi-fractals-avgs-bbands-txt-summary.py is followed by each ticker symbol. Here’s an example Python script that generates those commands:
python# List of ticker symbolsticker_symbols = ["AAVE", "ACH", "ADA", "ALGO", "AMP", "ANKR", "ATOM", "AVAX", "AXS", "BAL","BAND", "BAT", "BCH", "BNT", "BOND", "BTC", "CGLD", "COMP", "CRV", "CVC","DAI", "DOGE", "DOT", "ETC", "ETH", "FARM", "FET", "FIL", "GLM", "GRT", "ICP","KNC", "LINK", "LOOM", "LPT", "LRC", "LTC", "MANA", "MATIC", "MIR", "MKR","MLN", "NKN", "NMR", "OGN", "OMG", "OXT", "PLA", "POLY", "QNT", "REN", "REQ","RLC", "RLY", "SKL", "SNX", "SOL", "STORJ", "UMA", "UNI", "USD", "USDC", "XLM","XTZ", "YFI", "ZEC", "ZRX"]# Directory variableDIR = "$DIR"# Generate commandscommands = [f"{DIR}/rsi-fractals-avgs-bbands-txt-summary.py {symbol}" for symbol in ticker_symbols]# Print commandsfor command in commands:print(command)
Replace $DIR with the actual directory you want to use. This script will generate commands for each ticker symbol, following the format you provided. If you have any specific adjustments or requirements, feel free to let me know!
OK how did it turn out?
This is the output, just as I expected and was looking for. Saved me probably about 15 minutes of tedious hand editing…
$DIR/rsi-fractals-avgs-bbands-txt-summary.py AAVE
$DIR/rsi-fractals-avgs-bbands-txt-summary.py ACH
$DIR/rsi-fractals-avgs-bbands-txt-summary.py ADA
$DIR/rsi-fractals-avgs-bbands-txt-summary.py ALGO
$DIR/rsi-fractals-avgs-bbands-txt-summary.py AMP
$DIR/rsi-fractals-avgs-bbands-txt-summary.py ANKR
$DIR/rsi-fractals-avgs-bbands-txt-summary.py ATOM
$DIR/rsi-fractals-avgs-bbands-txt-summary.py AVAX
$DIR/rsi-fractals-avgs-bbands-txt-summary.py AXS
$DIR/rsi-fractals-avgs-bbands-txt-summary.py BAL
$DIR/rsi-fractals-avgs-bbands-txt-summary.py BAND
$DIR/rsi-fractals-avgs-bbands-txt-summary.py BAT
$DIR/rsi-fractals-avgs-bbands-txt-summary.py BCH
$DIR/rsi-fractals-avgs-bbands-txt-summary.py BNT
$DIR/rsi-fractals-avgs-bbands-txt-summary.py BOND
$DIR/rsi-fractals-avgs-bbands-txt-summary.py BTC
$DIR/rsi-fractals-avgs-bbands-txt-summary.py CGLD
$DIR/rsi-fractals-avgs-bbands-txt-summary.py COMP
$DIR/rsi-fractals-avgs-bbands-txt-summary.py CRV
$DIR/rsi-fractals-avgs-bbands-txt-summary.py CVC
$DIR/rsi-fractals-avgs-bbands-txt-summary.py DAI
$DIR/rsi-fractals-avgs-bbands-txt-summary.py DOGE
$DIR/rsi-fractals-avgs-bbands-txt-summary.py DOT
$DIR/rsi-fractals-avgs-bbands-txt-summary.py ETC
$DIR/rsi-fractals-avgs-bbands-txt-summary.py ETH
$DIR/rsi-fractals-avgs-bbands-txt-summary.py FARM
$DIR/rsi-fractals-avgs-bbands-txt-summary.py FET
$DIR/rsi-fractals-avgs-bbands-txt-summary.py FIL
$DIR/rsi-fractals-avgs-bbands-txt-summary.py GLM
$DIR/rsi-fractals-avgs-bbands-txt-summary.py GRT
$DIR/rsi-fractals-avgs-bbands-txt-summary.py ICP
$DIR/rsi-fractals-avgs-bbands-txt-summary.py KNC
$DIR/rsi-fractals-avgs-bbands-txt-summary.py LINK
$DIR/rsi-fractals-avgs-bbands-txt-summary.py LOOM
$DIR/rsi-fractals-avgs-bbands-txt-summary.py LPT
$DIR/rsi-fractals-avgs-bbands-txt-summary.py LRC
$DIR/rsi-fractals-avgs-bbands-txt-summary.py LTC
$DIR/rsi-fractals-avgs-bbands-txt-summary.py MANA
$DIR/rsi-fractals-avgs-bbands-txt-summary.py MATIC
$DIR/rsi-fractals-avgs-bbands-txt-summary.py MIR
$DIR/rsi-fractals-avgs-bbands-txt-summary.py MKR
$DIR/rsi-fractals-avgs-bbands-txt-summary.py MLN
$DIR/rsi-fractals-avgs-bbands-txt-summary.py NKN
$DIR/rsi-fractals-avgs-bbands-txt-summary.py NMR
$DIR/rsi-fractals-avgs-bbands-txt-summary.py OGN
$DIR/rsi-fractals-avgs-bbands-txt-summary.py OMG
$DIR/rsi-fractals-avgs-bbands-txt-summary.py OXT
$DIR/rsi-fractals-avgs-bbands-txt-summary.py PLA
$DIR/rsi-fractals-avgs-bbands-txt-summary.py POLY
$DIR/rsi-fractals-avgs-bbands-txt-summary.py QNT
$DIR/rsi-fractals-avgs-bbands-txt-summary.py REN
$DIR/rsi-fractals-avgs-bbands-txt-summary.py REQ
$DIR/rsi-fractals-avgs-bbands-txt-summary.py RLC
$DIR/rsi-fractals-avgs-bbands-txt-summary.py RLY
$DIR/rsi-fractals-avgs-bbands-txt-summary.py SKL
$DIR/rsi-fractals-avgs-bbands-txt-summary.py SNX
$DIR/rsi-fractals-avgs-bbands-txt-summary.py SOL
$DIR/rsi-fractals-avgs-bbands-txt-summary.py STORJ
$DIR/rsi-fractals-avgs-bbands-txt-summary.py UMA
$DIR/rsi-fractals-avgs-bbands-txt-summary.py UNI
$DIR/rsi-fractals-avgs-bbands-txt-summary.py USD
$DIR/rsi-fractals-avgs-bbands-txt-summary.py USDC
$DIR/rsi-fractals-avgs-bbands-txt-summary.py XLM
$DIR/rsi-fractals-avgs-bbands-txt-summary.py XTZ
$DIR/rsi-fractals-avgs-bbands-txt-summary.py YFI
$DIR/rsi-fractals-avgs-bbands-txt-summary.py ZEC
$DIR/rsi-fractals-avgs-bbands-txt-summary.py ZRX
What’s it for?
It is screener code that will go into a script that prints out all the cryptos in the list sorted by their position relative to their 20 day moving average. It uses the same logic as used for the Mayer Multiple, except it is on a 20 day MA basis.
X = Current Price / 20DMA
Code
#!/bin/bash DIR="/home/erick/python/ta" rm $DIR/output-rsi-er-price-sma20-multiple.csv $DIR/rsi-fractals-avgs-bbands-txt-summary.py AAVE $DIR/rsi-fractals-avgs-bbands-txt-summary.py ACH $DIR/rsi-fractals-avgs-bbands-txt-summary.py ADA $DIR/rsi-fractals-avgs-bbands-txt-summary.py ALGO $DIR/rsi-fractals-avgs-bbands-txt-summary.py AMP $DIR/rsi-fractals-avgs-bbands-txt-summary.py ANKR $DIR/rsi-fractals-avgs-bbands-txt-summary.py ATOM $DIR/rsi-fractals-avgs-bbands-txt-summary.py AVAX $DIR/rsi-fractals-avgs-bbands-txt-summary.py AXS $DIR/rsi-fractals-avgs-bbands-txt-summary.py BAL $DIR/rsi-fractals-avgs-bbands-txt-summary.py BAND $DIR/rsi-fractals-avgs-bbands-txt-summary.py BAT $DIR/rsi-fractals-avgs-bbands-txt-summary.py BCH $DIR/rsi-fractals-avgs-bbands-txt-summary.py BNT $DIR/rsi-fractals-avgs-bbands-txt-summary.py BOND $DIR/rsi-fractals-avgs-bbands-txt-summary.py BTC $DIR/rsi-fractals-avgs-bbands-txt-summary.py CGLD $DIR/rsi-fractals-avgs-bbands-txt-summary.py COMP $DIR/rsi-fractals-avgs-bbands-txt-summary.py CRV $DIR/rsi-fractals-avgs-bbands-txt-summary.py CVC $DIR/rsi-fractals-avgs-bbands-txt-summary.py DAI $DIR/rsi-fractals-avgs-bbands-txt-summary.py DOGE $DIR/rsi-fractals-avgs-bbands-txt-summary.py DOT $DIR/rsi-fractals-avgs-bbands-txt-summary.py ETC $DIR/rsi-fractals-avgs-bbands-txt-summary.py ETH $DIR/rsi-fractals-avgs-bbands-txt-summary.py FARM $DIR/rsi-fractals-avgs-bbands-txt-summary.py FET $DIR/rsi-fractals-avgs-bbands-txt-summary.py FIL $DIR/rsi-fractals-avgs-bbands-txt-summary.py GLM $DIR/rsi-fractals-avgs-bbands-txt-summary.py GRT $DIR/rsi-fractals-avgs-bbands-txt-summary.py ICP $DIR/rsi-fractals-avgs-bbands-txt-summary.py KNC $DIR/rsi-fractals-avgs-bbands-txt-summary.py LINK $DIR/rsi-fractals-avgs-bbands-txt-summary.py LOOM $DIR/rsi-fractals-avgs-bbands-txt-summary.py LPT $DIR/rsi-fractals-avgs-bbands-txt-summary.py LRC $DIR/rsi-fractals-avgs-bbands-txt-summary.py LTC $DIR/rsi-fractals-avgs-bbands-txt-summary.py MANA $DIR/rsi-fractals-avgs-bbands-txt-summary.py MATIC $DIR/rsi-fractals-avgs-bbands-txt-summary.py MIR $DIR/rsi-fractals-avgs-bbands-txt-summary.py MKR $DIR/rsi-fractals-avgs-bbands-txt-summary.py MLN $DIR/rsi-fractals-avgs-bbands-txt-summary.py NKN $DIR/rsi-fractals-avgs-bbands-txt-summary.py NMR $DIR/rsi-fractals-avgs-bbands-txt-summary.py OGN $DIR/rsi-fractals-avgs-bbands-txt-summary.py OMG $DIR/rsi-fractals-avgs-bbands-txt-summary.py OXT $DIR/rsi-fractals-avgs-bbands-txt-summary.py PLA $DIR/rsi-fractals-avgs-bbands-txt-summary.py POLY $DIR/rsi-fractals-avgs-bbands-txt-summary.py QNT $DIR/rsi-fractals-avgs-bbands-txt-summary.py REN $DIR/rsi-fractals-avgs-bbands-txt-summary.py REQ $DIR/rsi-fractals-avgs-bbands-txt-summary.py RLC $DIR/rsi-fractals-avgs-bbands-txt-summary.py RLY $DIR/rsi-fractals-avgs-bbands-txt-summary.py SKL $DIR/rsi-fractals-avgs-bbands-txt-summary.py SNX $DIR/rsi-fractals-avgs-bbands-txt-summary.py SOL $DIR/rsi-fractals-avgs-bbands-txt-summary.py STORJ $DIR/rsi-fractals-avgs-bbands-txt-summary.py UMA $DIR/rsi-fractals-avgs-bbands-txt-summary.py UNI $DIR/rsi-fractals-avgs-bbands-txt-summary.py USD $DIR/rsi-fractals-avgs-bbands-txt-summary.py USDC $DIR/rsi-fractals-avgs-bbands-txt-summary.py XLM $DIR/rsi-fractals-avgs-bbands-txt-summary.py XTZ $DIR/rsi-fractals-avgs-bbands-txt-summary.py YFI $DIR/rsi-fractals-avgs-bbands-txt-summary.py ZEC $DIR/rsi-fractals-avgs-bbands-txt-summary.py ZRX echo "Cur ,Und,Targt,RSI, ER,20Ml,Mayer Mult." # Sort by desending price/sma20 multiples sort -nk6 -t, -r $DIR/output-rsi-er-price-sma20-multiple.csv
the script runs the rsi-fractals-avg-bbands-txt-summary code on all the tickers listed and saves output to…
output-rsi-er-price-sma20-multiple.csv
then sorts the output by the 20sma multiple column
Results
Best relative performers on top, worst on bottom. This idea comes from the book Fortune’s Formula and appears as a technique used by Princeton-Newport. Basically sell the top and buy the bottom ( deep value…maybe), or alternativly short the top and long the bottom. Or in the case of crypto the bottom ones might be just be duds that are always behind the pack, maybe don’t even bother with them.
Cur ,Und,Targt,RSI, ER,20Ml,Mayer Mult.
UNI ,USD,False,73,0.06,1.18,1.31
SKL ,USD,False,63,0.07,1.1 ,1.59
FET ,USD,False,67,0.14,1.09,1.97
SNX ,USD,False,63,0.09,1.07,1.43
GRT ,USD,False,60,0.05,1.07,1.37
AXS ,USD,False,56,0.0 ,1.07,1.2
AMP ,USD,False,63,0.05,1.06,1.17
MKR ,USD,False,60,0.13,1.05,1.34
AVAX ,USD,False,61,0.07,1.05,1.61
RLC ,USD,False,61,0.01,1.04,1.19
OGN ,USD,False,56,0.05,1.03,1.33
UMA ,USD,False,52,0.07,1.01,1.13
NMR ,USD,False,55,0.02,1.01,1.14
MANA ,USD,False,48,0.01,1.01,1.18
DOGE ,USD,False,55,0.02,1.01,1.15
BTC ,USD,False,54,0.14,1.01,1.27
REQ ,USD,False,52,0.02,1.0 ,1.1
NKN ,USD,False,59,0.02,1.0 ,1.1
ICP ,USD,False,51,0.04,1.0 ,1.14
FARM ,USD,False,53,0.04,1.0 ,1.31
ETH ,USD,False,47,0.04,1.0 ,1.13
DAI ,USD,False,44,0.01,1.0 ,1.0
ATOM ,USD,False,49,0.05,1.0 ,1.09
ADA ,USD,False,57,0.01,1.0 ,1.25
AAVE ,USD,False,52,0.08,1.0 ,1.38
STORJ,USD,False,46,0.13,0.99,2.0
SOL ,USD,False,51,0.19,0.98,2.12
ALGO ,USD,False,47,0.06,0.98,1.13
ACH ,USD,False,51,0.02,0.98,1.07
ZEC ,USD,False,43,0.04,0.97,1.0
XLM ,USD,False,43,0.05,0.97,1.03
LTC ,USD,False,42,0.03,0.97,0.89
LINK ,USD,False,46,0.17,0.97,1.8
DOT ,USD,False,45,0.01,0.97,1.08
COMP ,USD,False,49,0.05,0.97,1.11
QNT ,USD,False,43,0.02,0.96,0.98
PLA ,USD,False,45,0.02,0.96,1.19
OXT ,USD,False,47,0.01,0.96,1.13
ETC ,USD,False,39,0.0 ,0.96,1.07
CRV ,USD,False,47,0.08,0.96,0.92
BCH ,USD,False,36,0.1 ,0.96,1.08
LRC ,USD,False,42,0.08,0.95,0.99
FIL ,USD,False,41,0.0 ,0.95,1.14
CGLD ,USD,False,44,0.0 ,0.95,1.07
BAL ,USD,False,38,0.12,0.95,0.88
XTZ ,USD,False,38,0.03,0.94,1.03
MLN ,USD,False,36,0.05,0.94,0.9
BAT ,USD,False,38,0.01,0.94,1.07
BAND ,USD,False,44,0.01,0.94,1.12
ANKR ,USD,False,43,0.01,0.94,1.06
LPT ,USD,False,41,0.04,0.92,1.13
GLM ,USD,False,41,0.02,0.92,1.18
CVC ,USD,False,48,0.05,0.91,1.27
ZRX ,USD,False,36,0.09,0.9 ,1.68
YFI ,USD,False,42,0.04,0.9 ,1.32
MATIC,USD,False,28,0.03,0.9 ,1.1
KNC ,USD,False,27,0.03,0.9 ,1.11
BNT ,USD,False,32,0.08,0.9 ,1.56
POLY ,USD,False,30,0.01,0.81,1.2
ChatGPT will create Tags
Finally by posting this post into a prompt you can ask ChatGPT to generate Tags for the post. I used most of them but trimmed a few that were redundant.