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* https://mtgox.com/ | * --(https://mtgox.com/)-- (Note: 201712 Weak ssl cert - dodgy) |
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* 2014 - http://www.bitcrane.com | * --(2014 - http://www.bitcrane.com)-- (Note:Broken 201712) |
BitCoin
Digital currency. Overview
- Calc profitability:
https://mtgox.com/)-- (Note: 201712 Weak ssl cert - dodgy)
Calculate return for certain hashes/second http://www.alloscomp.com/bitcoin/calculator.php
Mining Rigs
--(2014 - http://www.bitcrane.com)-- (Note:Broken 201712)
- 201408 - BITCOIN MINER T-110 $ 1580.00 1.1TH/s
Trade
Linux ati links
- Keep cooler with screen off # xset dpms force off
Latop setup
- export LD_LIBRARY_PATH=/usr/src/bitcoin/ati-stream-sdk-v2.1-lnx64/lib/x86_64/:$LD_LIBRARY_PATH
python /usr/share/doc/python-pyopencl/examples/demo_mandelbrot.py
BitCoin Mine pc
4 x ATI HD Radeon 5970's @ 400W each = 1600W
- 1600 stream processors
Sapphire-5970 @ R6155
ati-radeon-hd-5970 @ $599
Bitcoin graph from https://gist.github.com/
from pygooglechart import Chart from pygooglechart import SimpleLineChart from pygooglechart import Axis from subprocess import * import platform import os max_y = 2000 # Chart size of 200x125 pixels and specifying the range for the Y axis chart = SimpleLineChart(500, 250, y_range=[0, max_y]) # grep khash ~/.bitcoin/debug.log if platform.system() == 'Linux': home = os.path.expanduser('~') log = os.path.join(home, '.bitcoin', 'debug.log') elif platform.system() == 'Darwin': home = os.path.expanduser('~') log = os.path.join(home, 'Library', 'Application Support', 'Bitcoin', 'debug.log') elif platform.system() == 'Windows': log = os.path.join(os.environ['appdata'], 'Bitcoin', 'debug.log') else: home = os.path.expanduser('~') log = os.path.join(home, '.bitcoin', 'debug.log') debug = open(log) data = [] for line in debug: if 'khash' not in line: continue #print line.split() data.append(int(line.split()[-2])) #07/19/2010 13:05 hashmeter 3 CPUs 1466 khash/s # Date time hashmeter #cpus hash/s left_axis = range(0, max_y + 1, 500) left_axis[0] = '' chart.set_axis_labels(Axis.LEFT, left_axis) chart.add_data(data) chart.download('khash.png')