Added SMA and improved plotting

.idea/crypto-prediction.iml

@@ -0,0 +1,12 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$" />
+    <orderEntry type="jdk" jdkName="Python 3.5.2 virtualenv at C:\Users\det\64bitpython" jdkType="Python SDK" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+  <component name="TestRunnerService">
+    <option name="projectConfiguration" value="Nosetests" />
+    <option name="PROJECT_TEST_RUNNER" value="Nosetests" />
+  </component>
+</module>

.idea/inspectionProfiles/Project_Default.xml

@@ -0,0 +1,15 @@
+<component name="InspectionProjectProfileManager">
+  <profile version="1.0">
+    <option name="myName" value="Project Default" />
+    <inspection_tool class="PyCompatibilityInspection" enabled="true" level="WARNING" enabled_by_default="true">
+      <option name="ourVersions">
+        <value>
+          <list size="2">
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+            <item index="1" class="java.lang.String" itemvalue="3.6" />
+          </list>
+        </value>
+      </option>
+    </inspection_tool>
+  </profile>
+</component>

.idea/misc.xml

@@ -0,0 +1,7 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.5.2 virtualenv at C:\Users\det\64bitpython" project-jdk-type="Python SDK" />
+  <component name="PythonCompatibilityInspectionAdvertiser">
+    <option name="version" value="2" />
+  </component>
+</project>

.idea/modules.xml

@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/crypto-arbitrage-bot.iml" filepath="$PROJECT_DIR$/.idea/crypto-arbitrage-bot.iml" />
+    </modules>
+  </component>
+</project>

.idea/vcs.xml

@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="$PROJECT_DIR$" vcs="Git" />
+  </component>
+</project>

.idea/workspace.xml

@@ -1,11 +1,9 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <project version="4">
   <component name="ChangeListManager">
-    <list default="true" id="6f37b47a-0ca7-46ea-a0fe-3607d36927b6" name="Default" comment="">
+    <list default="true" id="6f37b47a-0ca7-46ea-a0fe-3607d36927b6" name="Default" comment="Added Kraken support">
+      <change type="MOVED" beforePath="$PROJECT_DIR$/.idea/crypto-arbitrage-bot.iml" afterPath="$PROJECT_DIR$/.idea/crypto-prediction.iml" />
       <change type="MODIFICATION" beforePath="$PROJECT_DIR$/.idea/workspace.xml" afterPath="$PROJECT_DIR$/.idea/workspace.xml" />
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@@ -15,27 +13,7 @@
     <option name="LAST_RESOLUTION" value="IGNORE" />
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   <component name="FileEditorManager">
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-          </provider>
-        </entry>
-      </file>
+    <leaf SIDE_TABS_SIZE_LIMIT_KEY="300">
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@@ -48,33 +26,13 @@
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-      </file>
-      <file leaf-file-name="core.py" pinned="false" current-in-tab="false">
+      <file leaf-file-name="core.py" pinned="false" current-in-tab="true">
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+                <element signature="e#18#29#0" expanded="true" />
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@@ -90,35 +48,71 @@
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       </file>
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-        <entry file="file://$PROJECT_DIR$/tests/test_advanced.py">
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-        <entry file="file://$PROJECT_DIR$/bot/market_data_crawler.py">
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       </file>
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-        <entry file="file://$PROJECT_DIR$/requirements.txt">
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+      <file leaf-file-name="make.bat" pinned="false" current-in-tab="false">
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@@ -133,6 +127,14 @@
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     </option>
   </component>
+  <component name="FindInProjectRecents">
+    <findStrings>
+      <find>bids</find>
+      <find>order_book</find>
+      <find>symbol</find>
+      <find>ask</find>
+    </findStrings>
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   <component name="Git.Settings">
     <option name="RECENT_GIT_ROOT_PATH" value="$PROJECT_DIR$" />
   </component>
@@ -142,24 +144,51 @@
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         <option value="$PROJECT_DIR$/bot/market_data.py" />
-        <option value="$PROJECT_DIR$/requirements.txt" />
-        <option value="$PROJECT_DIR$/bot/core.py" />
+        <option value="$PROJECT_DIR$/bot/arbitrage_pairs.py" />
+        <option value="$PROJECT_DIR$/market_data.txt" />
+        <option value="$PROJECT_DIR$/bot/market_data_analyzer.py" />
         <option value="$PROJECT_DIR$/bot/market_data_crawler.py" />
+        <option value="$PROJECT_DIR$/market_analyzation.txt" />
+        <option value="$PROJECT_DIR$/requirements.txt" />
+        <option value="$PROJECT_DIR$/bot/shared_config.py" />
+        <option value="$PROJECT_DIR$/bot/core.py" />
+        <option value="$PROJECT_DIR$/README.rst" />
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   <component name="ProjectView">
     <navigator currentView="ProjectPane" proportions="" version="1">
       <flattenPackages />
@@ -175,26 +204,47 @@
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+              <item name="crypto-prediction" type="b2602c69:ProjectViewProjectNode" />
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               <item name="bot" type="462c0819:PsiDirectoryNode" />
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   <component name="RunDashboard">
     <option name="ruleStates">
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@@ -207,6 +257,98 @@
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+    <entry file="file://$PROJECT_DIR$/docs/index.rst">
+      <provider selected="true" editor-type-id="text-editor">
+        <state relative-caret-position="0">
+          <caret line="0" column="0" lean-forward="false" selection-start-line="0" selection-start-column="0" selection-end-line="0" selection-end-column="0" />
+          <folding />
+        </state>
+      </provider>
+    </entry>
+    <entry file="file://$PROJECT_DIR$/docs/make.bat">
+      <provider selected="true" editor-type-id="text-editor">
+        <state relative-caret-position="0">
+          <caret line="0" column="0" lean-forward="false" selection-start-line="0" selection-start-column="0" selection-end-line="0" selection-end-column="0" />
+          <folding />
+        </state>
+      </provider>
+    </entry>
+    <entry file="file://$PROJECT_DIR$/docs/Makefile">
+      <provider selected="true" editor-type-id="text-editor">
+        <state relative-caret-position="0">
+          <caret line="0" column="0" lean-forward="false" selection-start-line="0" selection-start-column="0" selection-end-line="0" selection-end-column="0" />
+          <folding />
+        </state>
+      </provider>
+    </entry>
+    <entry file="file://$PROJECT_DIR$/bot/shared_config.py">
+      <provider selected="true" editor-type-id="text-editor">
+        <state relative-caret-position="238">
+          <caret line="14" column="31" lean-forward="false" selection-start-line="14" selection-start-column="31" selection-end-line="14" selection-end-column="31" />
+          <folding />
+        </state>
+      </provider>
+    </entry>
+    <entry file="file://$PROJECT_DIR$/bot/__init__.py">
+      <provider selected="true" editor-type-id="text-editor">
+        <state relative-caret-position="0">
+          <caret line="0" column="18" lean-forward="false" selection-start-line="0" selection-start-column="18" selection-end-line="0" selection-end-column="18" />
+          <folding />
+        </state>
+      </provider>
+    </entry>
+    <entry file="file://$PROJECT_DIR$/bot/core.py">
+      <provider selected="true" editor-type-id="text-editor">
+        <state relative-caret-position="187">
+          <caret line="11" column="28" lean-forward="false" selection-start-line="11" selection-start-column="28" selection-end-line="11" selection-end-column="28" />
           <folding>
-            <element signature="e#19#60#0" expanded="true" />
+            <element signature="e#18#29#0" expanded="true" />
           </folding>
         </state>
       </provider>

README.rst

@@ -1,7 +1,7 @@
-Crypto Arbitrage Bot
+Crypto Tensor Bot
 ========================
 
-This bot does arbitrage with crypto
+This bot predicts a stock shart trend
 
 ---------------
 

bot/core.py

@@ -1,69 +1,127 @@
 #!/usr/bin/python
-from . import market_data_crawler
+import time
+import pandas as pd
+import numpy as np
+import datetime as dt
+import matplotlib.pyplot as plt
+import matplotlib.dates as md
+import tensorflow as tf
+import urllib.request, json
 
-from tornado import gen
-from tornado.ioloop import IOLoop
-import tornado.web
-import json
-import sys
+from bot.shared_config import *
 
 
-class MainHandler(tornado.web.RequestHandler):
-    @gen.coroutine
-    def post(self):
-        print("POST received from IP {0}".format(self.request.remote_ip))
+def main():
+    start_time = time.time()
 
-        response = {'error': False, 'msg': ""}
-        request = json.loads(self.request.body.decode('utf-8'))
+    dump(yellow("Retrieving market data from API"))
 
-        if "token" not in request or request["token"] != "abc":
-            response["msg"] = "Wrong token - no access granted"
-            self.write(json.dumps(response))
-            return
+    with urllib.request.urlopen("https://api.kraken.com/0/public/OHLC?pair=ETHUSD&interval=15") as url:
+        data = json.loads(url.read().decode())
+        timestamps = []
+        prices = []
+        volumes = []
+        pricevol = []
 
-        if "command" in request:
-            print("Command received: {0}".format(request["command"]))
+        for set in data["result"]['XETHZUSD'][-601:]:
+            timestamps.append(int(set[0]))
+            prices.append(float(set[4]))
+            volumes.append(float(set[6]))
+            pricevol.append([float(set[4]), float(set[6])])
 
-            if request["command"] == "init_market_data":
-                yield self.update_market_data(request, response)
+    dump(green("Retrieved API in {0:.3f}ms sec".format((time.time() - start_time)*100)))
+    dump(yellow("Initialize Tensorflow"))
 
-        self.write(json.dumps(response))
+    f_horizon = 10  # forecast horizon, one period into the future
+    num_periods = 20  # number of periods per vector we are using to predict one period ahead
+    inputs = 2  # number of vectors submitted
+    hidden = 100  # number of neurons we will recursively work through, can be changed to improve accuracy
+    output = 1  # number of output vectors
 
-    @gen.coroutine
-    def update_market_data(self, request, response):
-        yield market_data_crawler.update_market_data_for_basecoin(request["basecoin"])
-        response["msg"] = "Market Data initialized"
-        response["data"] = market_data_crawler.market_data
+    TS = np.array(pricevol)
+    TSo = np.array(prices)
 
-    @gen.coroutine
-    def delete(self):
-        print("Stopping server...")
+    x_data = TS[:(len(TS) - (len(TS) % num_periods))]
+    x_batches = x_data.reshape(-1, 20, 2)
 
-        response_json = json.dumps({'error': False, 'msg': "Server stopped"})
-        self.write(response_json)
+    y_data = TSo[1:(len(TSo) - (len(TSo) % num_periods)) + f_horizon]
+    y_batches = y_data.reshape(-1, 20, 1)
 
-        IOLoop.instance().stop()
+    def test_data(forecast, num_periods):
+        test_x_setup = TS[-(num_periods + forecast):]
+        testX = test_x_setup[:num_periods].reshape(-1, 20, 2)
+        testY = TSo[-(num_periods):].reshape(-1, 20, 1)
+        return testX, testY
 
+    X_test, Y_test = test_data(f_horizon, num_periods)
 
-class Application(tornado.web.Application):
-    def __init__(self):
-        handlers = [
-            (r"/?", MainHandler)
-        ]
-        tornado.web.Application.__init__(self, handlers)
+    tf.reset_default_graph()  # We didn't have any previous graph objects running, but this would reset the graphs
 
+    X = tf.placeholder(tf.float32, [None, num_periods, inputs])  # create variable objects
+    y = tf.placeholder(tf.float32, [None, num_periods, output])
 
-def main(port):
-    app = Application()
-    app.listen(port)
-    IOLoop.instance().start()
+    basic_cell = tf.contrib.rnn.BasicRNNCell(num_units=hidden, activation=tf.nn.relu)  # create our RNN object
+    rnn_output, states = tf.nn.dynamic_rnn(basic_cell, X, dtype=tf.float32)  # choose dynamic over static
 
+    learning_rate = 0.001  # small learning rate so we don't overshoot the minimum
 
-def exists():
-    return True
+    stacked_rnn_output = tf.reshape(rnn_output, [-1, hidden])  # change the form into a tensor
+    stacked_outputs = tf.layers.dense(stacked_rnn_output, output)  # specify the type of layer (dense)
+    outputs = tf.reshape(stacked_outputs, [-1, num_periods, output])  # shape of results
+
+    loss = tf.reduce_sum(tf.square(outputs - y))  # define the cost function which evaluates the quality of our model
+    optimizer = tf.train.AdamOptimizer(learning_rate=learning_rate)  # gradient descent method
+    training_op = optimizer.minimize(
+        loss)  # train the result of the application of the cost_function
+
+    init = tf.global_variables_initializer()  # initialize all the variables
+
+    epochs = 1000  # number of iterations or training cycles, includes both the FeedFoward and Backpropogation
+
+    with tf.Session() as sess:
+        init.run()
+        dump(green("Initialized Tensorflow in {0:.3f}ms sec".format((time.time() - start_time) * 100)))
+        dump(yellow("Start Training"))
+
+        for ep in range(epochs):
+            sess.run(training_op, feed_dict={X: x_batches, y: y_batches})
+            if ep % 100 == 0:
+                mse = loss.eval(feed_dict={X: x_batches, y: y_batches})
+                print(ep, "\tMSE:", mse)
+
+        dump(green("Finished training in {0:.3f}ms sec".format((time.time() - start_time) * 100)))
+
+        dump(yellow("Start Predicting"))
+        y_pred = sess.run(outputs, feed_dict={X: X_test})
+        dump(green("Prediction finished in {0:.3f}ms sec".format((time.time() - start_time) * 100)))
+
+    dump(yellow("Start Plotting and output"))
+
+    actual_series = pd.Series(np.concatenate([np.ravel(X_test)[::2], np.ravel(Y_test)]))
+    actual_prediction = pd.Series(np.concatenate([np.ravel(X_test)[::2], np.ravel(y_pred)]))
+
+    plt.title("Forecast vs Actual", fontsize=14)
+
+    xfmt = md.DateFormatter('%d.%m %H:%M:%S')
+    plt.subplots_adjust(bottom=0.2)
+    plt.xticks(rotation=25)
+    plt.gca().xaxis.set_major_formatter(xfmt)
+
+    dates = [dt.datetime.fromtimestamp(int(ts)) for ts in timestamps]
+    datenums = md.date2num(dates)
+
+    plt.plot(datenums[-40:], actual_series, "b--", linewidth=1.0, label="Actual")
+    plt.plot(datenums[-40:], actual_prediction, "r--", linewidth=1.0, label="Forecast")
+    plt.plot(datenums[-40:], actual_series.rolling(window=3, center=False).mean(),  "y-", linewidth=2.0, label="Actual MA")
+    plt.plot(datenums[-40:], actual_prediction.rolling(window=3, center=False).mean(),  "g-", linewidth=2.0, label="Predicted MA")
+
+    plt.legend(loc="upper left")
+    plt.xlabel("Time Periods")
+
+    dump(green("Finished complete program in {0:.3f}ms sec".format((time.time() - start_time) * 100)))
+    plt.show()
 
 
 if __name__ == '__main__':
-        port = int(sys.argv[1])
-        print("Starting arbitrage bot on port {0}...".format(port))
-        main(port)
+        print("Starting prediction ...")
+        main()

bot/market_data_crawler.py

@@ -1,74 +0,0 @@
-#!/usr/bin/python
-
-import tornado.escape, tornado.httpclient
-import tornado.httpclient
-from tornado import gen
-import time
-from collections import defaultdict
-
-
-@gen.coroutine
-def update_market_data_for_basecoin(basecoin):
-    global market_data
-    market_data = defaultdict(list)
-    market_requests = []
-
-    @gen.coroutine
-    def call_market_data(url, response_handler):
-        http_client = tornado.httpclient.AsyncHTTPClient()
-        response = yield http_client.fetch(url)
-        return response_handler(response)
-
-    """
-    Bittrex
-    """
-    def handle_response_bittrex(response):
-        if response.error:
-            print("Error: %s" % response.error)
-            return False
-
-        else:
-            print("Response received from Bittrex - handling now!")
-            response_data = tornado.escape.json_decode(response.body)
-
-            for market in response_data["result"]:
-                base, target = market["MarketName"].split("-")
-                if base == basecoin:
-                    market_data[target].append({"Bittrex": market["Last"]})
-
-            return True
-
-    market_requests.append(
-        call_market_data(
-            "https://bittrex.com/api/v1.1/public/getmarketsummaries",
-            handle_response_bittrex))
-
-    """
-    Poloniex
-    """
-    def handle_response_poloniex(response):
-        if response.error:
-            print("Error: %s" % response.error)
-            return False
-
-        else:
-            print("Response received from Poloniex - handling now!")
-            response_data = tornado.escape.json_decode(response.body)
-
-            for market in response_data:
-                base, target = market.split("_")
-                if base == basecoin:
-                    market_data[target].append({"Poloniex": response_data[market]["last"]})
-
-
-            return True
-
-    market_requests.append(
-        call_market_data(
-            "https://poloniex.com/public?command=returnTicker",
-            handle_response_poloniex))
-
-    print("--- Retrieve market data now ---")
-    start_time = time.time()
-    response_dict = yield market_requests
-    print("--- Marked data updated in {0} seconds. Responses: {1} ---".format(time.time() - start_time, response_dict))

bot/shared_config.py

@@ -0,0 +1,35 @@
+#!/usr/bin/python
+def style(s, style):
+    return style + s + '\033[0m'
+
+
+def green(s):
+    return style(s, '\033[92m')
+
+
+def blue(s):
+    return style(s, '\033[94m')
+
+
+def yellow(s):
+    return style(s, '\033[93m')
+
+
+def red(s):
+    return style(s, '\033[91m')
+
+
+def pink(s):
+    return style(s, '\033[95m')
+
+
+def bold(s):
+    return style(s, '\033[1m')
+
+
+def underline(s):
+    return style(s, '\033[4m')
+
+
+def dump(*args):
+    print(' '.join([str(arg) for arg in args]))

docs/conf.py

@@ -40,8 +40,8 @@ source_suffix = '.rst'
 master_doc = 'index'
 
 # General information about the project.
-project = u'sample'
-copyright = u'2012, Kenneth Reitz'
+project = u'Crypto-Tensor Documentation'
+copyright = u'2017, Dennis Thiessen'
 
 # The version info for the project you're documenting, acts as replacement for
 # |version| and |release|, also used in various other places throughout the
@@ -183,8 +183,8 @@ latex_elements = {
 # Grouping the document tree into LaTeX files. List of tuples
 # (source start file, target name, title, author, documentclass [howto/manual]).
 latex_documents = [
-  ('index', 'sample.tex', u'sample Documentation',
-   u'Kenneth Reitz', 'manual'),
+  ('index', 'sample.tex', u'Crypto-Tensor Documentation',
+   u'Dennis Thiessen', 'manual'),
 ]
 
 # The name of an image file (relative to this directory) to place at the top of
@@ -213,8 +213,8 @@ latex_documents = [
 # One entry per manual page. List of tuples
 # (source start file, name, description, authors, manual section).
 man_pages = [
-    ('index', 'sample', u'sample Documentation',
-     [u'Kenneth Reitz'], 1)
+    ('index', 'sample', u'Crypto-Tensor Documentation',
+     [u'Dennis Thiessen'], 1)
 ]
 
 # If true, show URL addresses after external links.
@@ -227,8 +227,8 @@ man_pages = [
 # (source start file, target name, title, author,
 #  dir menu entry, description, category)
 texinfo_documents = [
-  ('index', 'sample', u'sample Documentation',
-   u'Kenneth Reitz', 'sample', 'One line description of project.',
+  ('index', 'sample', u'Crypto-Tensor Documentation',
+   u'Dennis Thiessen', 'crypto-tensor', 'Predicts the future.',
    'Miscellaneous'),
 ]
 

requirements.txt

@@ -1,3 +1,4 @@
-nose
-sphinx
-tornado
+numpy
+matplotlib
+tensorflow
+pandas

setup.py

@@ -12,13 +12,13 @@ with open('LICENSE') as f:
     license = f.read()
 
 setup(
-    name='sample',
+    name='crypto-tensor',
     version='0.1.0',
-    description='Sample package for Python-Guide.org',
+    description='Package for Crypto-Tensor bot',
     long_description=readme,
-    author='Kenneth Reitz',
-    author_email='me@kennethreitz.com',
-    url='https://github.com/kennethreitz/samplemod',
+    author='Dennis Thiessen',
+    author_email='dennis.thiessen@riskahead.de',
+    url='https://gitlab.riskahead.de/root/crypto-prediction',
     license=license,
     packages=find_packages(exclude=('tests', 'docs'))
 )