Ape Mithrandir

https://apemithrandir.com

Bitcoin | Bisq | Sparrow | Self-Hosting | https://github.com/apemithrandir/self-hosting-guide

Public Key

npub16dsu2ghu9yd363utyw7dejqc8rgx5ps7r4hxddrvx2x64dh73p7qqkh6vy

NIP-05 Address

apemithrandir@apemithrandir.com

NIP-57 Address

apemithrandir@fountain.fm

Profile Code

nprofile1qqsdxcw9yt7zjxcag79j80xueqvr35r2qc0p6mnxk3kr9rd2kmlgslqpz3mhxue69uhhyetvv9ujuerpd46hxtnfduqs6amnwvaz7tmwdaejumr0ds47t08h

Publishing to

relay.damus.io

nos.lol

Author Public Key

npub16dsu2ghu9yd363utyw7dejqc8rgx5ps7r4hxddrvx2x64dh73p7qqkh6vy

Show more details

Last Notes

2024-09-12 11:00:08

- reply

That lady is a reflection of the majority of the people within the Police State that is Australia. They have no rights and they love it.
If you find yourself being a freedom loving individual and happen to reside in Australia, how in God's name have you not left already?
Did the Covid internment Camps not make it obvious? If you enjoy freedom, you are not welcome in Australia.

2024-09-10 11:06:16

The Watchman Privacy Podcast: 121 - Joel Skousen: The High Security Shelter
Episode webpage: https://watchmanprivacy.com/
Media file: https://traffic.libsyn.com/secure/watchmanprivacy/Episode_120_Joel_Skousen_The_High_Security_Shelter.mp3

2024-09-09 10:15:08

- reply

You already get bolt12 from PhoenixD but I don't think adoption is such that you can use that effectively on your Nostr.

2024-09-08 22:42:02

- reply

#DontRiskItBisqIt

2024-09-08 22:41:31

- reply

What is the Non-custodial way to get a working 24/7 available LNUrl? I'm investigating PhoenixD+LNUrl Server at present but interested in other options too.

2024-09-08 12:23:55

- reply

XMR is still most traded Pair by wide margin https://image.nostr.build/85b73f112782cba8b27815c4a17c78d2d5f802302c427a4d47b0abf180f4b475.jpg

2024-09-08 10:00:51

Bisq Market Update https://image.nostr.build/0e468b9dee9a48a4219e5fb0890eaa9b09e339b0e343610627716290a911b0c8.jpg https://image.nostr.build/3a249b50b4eae80b650771700d11f9892596b291e035f29f6ff90e3ae9d16b0a.jpg

2024-09-08 06:10:27

- reply

The people behind those scamming operations have no conscience to speak of, unfortunately. Give a listen to this to get more insight into their operations:
https://darknetdiaries.com/episode/143/

2024-09-07 07:20:54

The Watchman Privacy Podcast: Torchlight Chats 1 - The Assassination of Mohsen Fakhrizadeh
Episode webpage: https://watchmanprivacy.com/
Media file: https://traffic.libsyn.com/secure/watchmanprivacy/Torchlight_Chat_1.mp3?dest-id=2727836

2024-09-07 07:20:34

The Watchman Privacy Podcast: 119 - South Dakota Residency Part 2
Episode webpage: https://watchmanprivacy.com/
Media file: https://traffic.libsyn.com/secure/watchmanprivacy/Episode_119_South_Dakota_Residency_Part_2.mp3?dest-id=2727836

2024-09-07 02:23:58

Is the https://relay.exchange/ down?

2024-09-07 02:14:24

- reply

Could I run my own backend, such as an Electrum server, similar to BlueWallet and SparrowWallet?

2024-09-07 01:50:34

#Durov https://image.nostr.build/a53998f6423242679e4f89c12358ac483229ac6ffedc04b7f229d820a9f3d462.jpg

2024-09-06 14:35:44

Y'all Brazilians better be buying your VPNs with KYC-free Sats or XMR.
https://fountain.fm/episode/ZOd9fLH3VmlIKUQ5nPk6
#nevent1q…5897

2024-09-06 14:25:11

Which one of the hosts gave the Bisq shoutout? #Don't
#DontRiskItBisqIt
https://fountain.fm/episode/hbhZHPfr9nqC3qdo4Frs
#nevent1q…8kfy

2024-09-06 03:21:41

- reply

@nprofile…0rct any ideas?

2024-09-05 09:50:07

Great conversation
https://fountain.fm/episode/KpUESwIDE6H4waFEHJoC
#nevent1q…873r

2024-09-04 14:29:28

- reply

The price of Bitcoin can be a different quantity for different people. You might recall the 2017 arb between the Korean price and the USD price.
If I choose to only ever trade on Bisq, then my bitcoin price will be whatever is available on Bisq.
I guess when you refer to price you refer to the lowest friction most liquid representation of the price. Then you are trying to talk about the factors that influence the price of the lowest friction most liquid representation of the price.
I think you simplified the representation by talking about CEX price as a single quantity. Technically every currency pair is slightly different. Every CEX will also differ in price, with the price potentially varying alongside the credit worthiness, or simply from the long/short bias differences in the userbase.
You also have the price of futures vs the spot market, which is very actively traded too, in addition to the OTC trading desks.
In a Liquid well capitalized market these differences will be small, and track the cost of capital for putting on the spread to arbitrage the price descrepancies.
Back to the case of Bisq, if we say it is not common for people to arbitrage the price difference. Consider the Bisq users might have two separate KYC and non-KYC stacks which never mix, but if they want to exchange BTC for fiat or vice versa they might prefer Bisq vs CEX on the margin at some price difference. Thus in that way they can still affect an influence on the price in the other venues.
Above all the influence on price will be proportional to the volume traded. Though CEX can play games with inflating volume, they still have >99.99% market share for price discovery.

2024-09-04 13:29:41

- reply

It would have impact price if it's market share was higher. Since Bisq volume is <1/10,000 of CEX volume, it's affect on price is negligible in aggregate.
Though I'd also argue that a dollar of sats bought from Bisq has more influence on price than a dollar of sats bought on CEX, since the Bisq sats are self-custodial and only re-hypotheticated.

2024-09-04 12:42:02

- reply

You guys are killing it. Stay true to your principles and you will crush the competition in the long run.

2024-09-04 12:36:12

- reply

If you try 2 on me in Bisq, I will chain analysis your deposit TX and cancel the trade, potentially taking your deposit if the moderaters agree with me that we don't want dirty tainted KYC sats on Bisq.
In practice, I do not see much of people selling KYC sats on P2P platforms. Owners of KYC sats should understand that selling on KYC-free creates a tax liability, unless they want to undermine the KYC-free platform by declaring all the details to the IRS.

2024-09-01 12:32:14

- reply

Thanks. Do you have a link to the LNUrl server you used and any guides that might have helped you?

2024-09-01 01:27:16

- reply

Is it possible to use PhoenixD as a self-hosted LNUrl for your Nostr account for receiving Zaps 24/7? How did you get an LNUrl address for your PhoenixD instance as distinct from the bolt12 address?

2024-08-31 15:55:28

I setup https://apemithrandir.com/.well-known/nostr.json and put apemithrandir@apemithrandir.com in my NIP-05 profile field. Is that all that is required for NIP-05 to work?

2024-08-31 14:37:22

- reply

=============================================
NVDA Price Stats:
=============================================
3.5 years ago Price: 13.81
3.5 years avg Price: 38.77
Current price: 119.4
NVDA Returns vs the 3.5 years old Price:
=============================================
Total 3.5 years log-returns: 215.7%
Avg 3.5 years ann. log-returns: 61.63%
Total 3.5 years simple-returns: 764.4%
Avg 3.5 years ann. simple-returns: 85.20%
NVDA Returns vs the 3.5 years avg Price:
=============================================
Total 3.5 years log-returns: 112.5%
Avg 3.5 years ann. log-returns: 64.27%
Total 3.5 years simple-returns: 207.9%
Avg 3.5 years ann. simple-returns: 90.15%

2024-08-31 14:36:52

- reply

=============================================
GC=F Price Stats:
=============================================
3.5 years ago Price: 1,722
3.5 years avg Price: 1,927
Current price: 2,494
GC=F Returns vs the 3.5 years old Price:
=============================================
Total 3.5 years log-returns: 37.00%
Avg 3.5 years ann. log-returns: 10.57%
Total 3.5 years simple-returns: 44.78%
Avg 3.5 years ann. simple-returns: 11.15%
GC=F Returns vs the 3.5 years avg Price:
=============================================
Total 3.5 years log-returns: 25.80%
Avg 3.5 years ann. log-returns: 14.74%
Total 3.5 years simple-returns: 29.43%
Avg 3.5 years ann. simple-returns: 15.88%

2024-08-31 14:36:16

- reply

=============================================
QQQ Price Stats:
=============================================
3.5 years ago Price: 316.6
3.5 years avg Price: 354.6
Current price: 476.3
QQQ Returns vs the 3.5 years old Price:
=============================================
Total 3.5 years log-returns: 40.85%
Avg 3.5 years ann. log-returns: 11.67%
Total 3.5 years simple-returns: 50.45%
Avg 3.5 years ann. simple-returns: 12.38%
QQQ Returns vs the 3.5 years avg Price:
=============================================
Total 3.5 years log-returns: 29.51%
Avg 3.5 years ann. log-returns: 16.86%
Total 3.5 years simple-returns: 34.32%
Avg 3.5 years ann. simple-returns: 18.37%

2024-08-31 14:35:46

- reply

=============================================
^SP500TR Price Stats:
=============================================
3.5 years ago Price: 8,081
3.5 years avg Price: 9,424
Current price: 12,344
^SP500TR Returns vs the 3.5 years old Price:
=============================================
Total 3.5 years log-returns: 42.37%
Avg 3.5 years ann. log-returns: 12.11%
Total 3.5 years simple-returns: 52.76%
Avg 3.5 years ann. simple-returns: 12.87%
^SP500TR Returns vs the 3.5 years avg Price:
=============================================
Total 3.5 years log-returns: 26.99%
Avg 3.5 years ann. log-returns: 15.42%
Total 3.5 years simple-returns: 30.99%
Avg 3.5 years ann. simple-returns: 16.68%

2024-08-31 14:31:48

- reply

=============================================
BTC-USD Price Stats:
=============================================
3.5 years ago Price: 49,631
3.5 years avg Price: 39,393
Current price: 59,082
BTC-USD Returns vs the 3.5 years old Price:
=============================================
Total 3.5 years log-returns: 17.43%
Avg 3.5 years ann. log-returns: 4.98%
Total 3.5 years simple-returns: 19.04%
Avg 3.5 years ann. simple-returns: 5.11%
BTC-USD Returns vs the 3.5 years avg Price:
=============================================
Total 3.5 years log-returns: 40.53%
Avg 3.5 years ann. log-returns: 23.16%
Total 3.5 years simple-returns: 49.98%
Avg 3.5 years ann. simple-returns: 26.06%

2024-08-31 14:31:04

- reply

=============================================
NVDA Price Stats:
=============================================
10.0 years ago Price: 0.466
10.0 years avg Price: 16.38
Current price: 119.4
NVDA Returns vs the 10.0 years old Price:
=============================================
Total 10.0 years log-returns: 554.6%
Avg 10.0 years ann. log-returns: 55.46%
Total 10.0 years simple-returns: 25,509%
Avg 10.0 years ann. simple-returns: 74.12%
NVDA Returns vs the 10.0 years avg Price:
=============================================
Total 10.0 years log-returns: 198.6%
Avg 10.0 years ann. log-returns: 39.72%
Total 10.0 years simple-returns: 628.7%
Avg 10.0 years ann. simple-returns: 48.77%

2024-08-31 14:30:28

- reply

=============================================
GC=F Price Stats:
=============================================
10.0 years ago Price: 1,264
10.0 years avg Price: 1,556
Current price: 2,494
GC=F Returns vs the 10.0 years old Price:
=============================================
Total 10.0 years log-returns: 67.98%
Avg 10.0 years ann. log-returns: 6.80%
Total 10.0 years simple-returns: 97.34%
Avg 10.0 years ann. simple-returns: 7.03%
GC=F Returns vs the 10.0 years avg Price:
=============================================
Total 10.0 years log-returns: 47.19%
Avg 10.0 years ann. log-returns: 9.44%
Total 10.0 years simple-returns: 60.31%
Avg 10.0 years ann. simple-returns: 9.90%

2024-08-31 14:29:53

- reply

=============================================
QQQ Price Stats:
=============================================
10.0 years ago Price: 92.32
10.0 years avg Price: 225.1
Current price: 476.3
QQQ Returns vs the 10.0 years old Price:
=============================================
Total 10.0 years log-returns: 164.1%
Avg 10.0 years ann. log-returns: 16.41%
Total 10.0 years simple-returns: 415.9%
Avg 10.0 years ann. simple-returns: 17.83%
QQQ Returns vs the 10.0 years avg Price:
=============================================
Total 10.0 years log-returns: 74.93%
Avg 10.0 years ann. log-returns: 14.99%
Total 10.0 years simple-returns: 111.6%
Avg 10.0 years ann. simple-returns: 16.17%

2024-08-31 14:29:30

- reply

=============================================
^SP500TR Price Stats:
=============================================
10.0 years ago Price: 3,642
10.0 years avg Price: 6,587
Current price: 12,344
^SP500TR Returns vs the 10.0 years old Price:
=============================================
Total 10.0 years log-returns: 122.1%
Avg 10.0 years ann. log-returns: 12.21%
Total 10.0 years simple-returns: 239.0%
Avg 10.0 years ann. simple-returns: 12.98%
^SP500TR Returns vs the 10.0 years avg Price:
=============================================
Total 10.0 years log-returns: 62.81%
Avg 10.0 years ann. log-returns: 12.56%
Total 10.0 years simple-returns: 87.40%
Avg 10.0 years ann. simple-returns: 13.38%

2024-08-31 14:28:52

- reply

=============================================
BTC-USD Price Stats:
=============================================
10.0 years ago Price: 457.3
10.0 years avg Price: 17,635
Current price: 59,083
BTC-USD Returns vs the 10.0 years old Price:
=============================================
Total 10.0 years log-returns: 486.1%
Avg 10.0 years ann. log-returns: 48.61%
Total 10.0 years simple-returns: 12,819%
Avg 10.0 years ann. simple-returns: 62.60%
BTC-USD Returns vs the 10.0 years avg Price:
=============================================
Total 10.0 years log-returns: 120.9%
Avg 10.0 years ann. log-returns: 24.18%
Total 10.0 years simple-returns: 235.0%
Avg 10.0 years ann. simple-returns: 27.36%

2024-08-31 14:26:06

```python
import yfinance
import pandas as pd
import numpy as np
import datetime as dt
import pytz
import argparse
from dateutil.relativedelta import relativedelta
def get_returns(sInformation, T):
# Calculate the reference date
years = int(T) # Get the whole number of years
months = int((T - years) * 12) # Convert the fractional part to months
ref_dt = dt.datetime.now(pytz.timezone('America/New_York')) - relativedelta(years=years, months=months)
hist = sInformation.history(period='10y')
hist = hist[hist.index >= ref_dt]
f = hist.Close.tolist()[0]
m = hist.Close.mean()
l = hist.Close.tolist()[-1]
tot_lr = np.log(l/f) * 100.0
avg_lr = np.log(l/f)/T * 100.0
tot_ret = (l/f - 1) * 100.0
avg_ret = ((l/f) ** (1.0/T) - 1) * 100.0
# Using T / 2 to represent the average holding time of the avg price
tot_lr_m = np.log(l/m) * 100.0
avg_lr_m = np.log(l/m)/(T/2.0) * 100.0
tot_ret_m = (l/m - 1) * 100.0
avg_ret_m = ((l/m) ** (2.0/T) - 1) * 100.0
return f, m, l, tot_lr, avg_lr, tot_ret, avg_ret, tot_lr_m, avg_lr_m, tot_ret_m, avg_ret_m
def format_number(value):
if value == 0:
return "0" # Handle zero case
elif abs(value) < 1:
return f"{value:.3f}" # 3 decimal places for small values
elif abs(value) < 100:
return f"{value:.2f}" # 2 decimal places for medium values
elif abs(value) < 1000:
return f"{value:.1f}" # 1 decimal place for larger values
else:
return f"{value:,.0f}" # No decimal places for very large values
def print_stats(s, T, f, m, l, tot_lr, avg_lr, tot_ret, avg_ret, tot_lr_m, avg_lr_m, tot_ret_m, avg_ret_m):
print("=============================================")
print(f"{s} Price Stats:")
print("=============================================")
print(f"{T} years ago Price: {format_number(f)}")
print(f"{T} years avg Price: {format_number(m)}")
print(f"Current price: {format_number(l)}\n")
print(f"{s} Returns vs the {T} years old Price:")
print("=============================================")
print(f"Total {T} years log-returns: {format_number(tot_lr)}%")
print(f"Avg {T} years ann. log-returns: {format_number(avg_lr)}%")
print(f"Total {T} years simple-returns: {format_number(tot_ret)}%")
print(f"Avg {T} years ann. simple-returns: {format_number(avg_ret)}%\n")
print(f"{s} Returns vs the {T} years avg Price:")
print("=============================================")
print(f"Total {T} years log-returns: {format_number(tot_lr_m)}%")
print(f"Avg {T} years ann. log-returns: {format_number(avg_lr_m)}%")
print(f"Total {T} years simple-returns: {format_number(tot_ret_m)}%")
print(f"Avg {T} years ann. simple-returns: {format_number(avg_ret_m)}%\n")
def main():
#Create the parser
parser = argparse.ArgumentParser(description='Process some integers.')
# Add arguments
parser.add_argument('--s1', type=str, required=True, help='First Yahoo Finance Instrument')
parser.add_argument('--s2', type=str, help='Second Yahoo Finance Instrument')
parser.add_argument('--T', type=float, required=True, help='Time period in years')
# Parse the arguments
try:
args = parser.parse_args()
except SystemExit as e:
print("Error: Missing required arguments.")
parser.print_help()
return
s1Information = yfinance.Ticker(args.s1)
f1, m1, l1, tot_lr1, avg_lr1, tot_ret1, avg_ret1, tot_lr_m1, avg_lr_m1, tot_ret_m1, avg_ret_m1 = get_returns(s1Information, args.T)
print_stats(args.s1, args.T, f1, m1, l1, tot_lr1, avg_lr1, tot_ret1, avg_ret1, tot_lr_m1, avg_lr_m1, tot_ret_m1, avg_ret_m1)
if args.s2 is not None:
s2Information = yfinance.Ticker(args.s2)
f2, m2, l2, tot_lr2, avg_lr2, tot_ret2, avg_ret2, tot_lr_m2, avg_lr_m2, tot_ret_m2, avg_ret_m2 = get_returns(s2Information, args.T)
print_stats(args.s2, args.T, f2, m2, l2, tot_lr2, avg_lr2, tot_ret2, avg_ret2, tot_lr_m2, avg_lr_m2, tot_ret_m2, avg_ret_m2)
if __name__ == '__main__':
main()
```

2024-08-31 09:10:28

Ignored Odell shilling Nostr for the longest time. Now with latest Fountain update get onto Nostr for minimal effort.
https://fountain.fm/episode/1i0ax59wJxo40GbhL0Ks
#nevent1q…e4hw

2024-08-31 05:58:48

Finally on Nostr now with the latest Fountain Update. No Twitter to delete since that was deleted before Nostr even existed.
https://fountain.fm/episode/WEJwZ3rAplfSoUtBbKOt
#nevent1q…p99n

2024-08-31 05:57:36

For Hal
https://fountain.fm/episode/49wzYxlOV9QJfYAzSBUW
#nevent1q…75kv

2024-08-31 05:23:01

Double boost. I got the latest Fountain. Does that mean this goes to Nostr now?
https://fountain.fm/episode/meY9nyt70HnirLta6MZC
#nevent1q…4y0u

2024-08-31 05:21:49

Sorry I can't listen to Pysh.
He stands for everything I hate in Bitcoin.
https://fountain.fm/episode/Tc2s1c0Tj2C1V0K8mO2x
#nevent1q…dtx0