Lord, we know what we are, but know not what we may be
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README.txt
algorithm.py
bitcoin.log
bitcoin.log.full
bitcoin.log.half
bitcoinStateSave.json
ema-algorithm.py
graphing.py
master.py
original-algorithm.py
pid-algorithm.py
results.json
simulator_manager.py
steepest_ascent.py
stochastic-algorithm.py
tap-out-algorithm.py
watchfile.txt

README.txt

python ./simulator_manager.py ${loss_threshold} ${buy_back_threshold}
e.g. python ./simulator_manager.py -1.5 .5 2
where loss_threshold & buy_back_threshold are percents

algorithm.py			write functions for state traversal to be imported into simulator
graphing.py			My wrapper for my plotly api calls
bitcoin.log			log of bitcoin value collected through coinmarket api
bitcoinPocket.log		simulated logfiles for the state machine
bitcoinStateSave.json		a instance of the state machine updated each iteration
simulator_manager.py		controls formating of output and handling of data in and out of the simulation
stochastic-algorithm.py		An algorithm based on George Lane's Slow Stochastic Oscillator
original-algorithm.py		original algorithm that performed very well with no fees. OBSOLETE
README.txt			help file
master.py			simulation of bitcoin market interaction
tap-out-algorithm.py		modified algorithm to sell when a large profit has been obtained
test.sh				test of multiple thresholds hardcoded in bash