Classes implemented in python and javascript. UML class diagram. Rough sequence uml. TODO: local file getting dirty from refresh. Signals implemented. Strategies implemented. Trades implemented but still needs some testing.

.idea/BrighterTrading.iml

@@ -11,4 +11,7 @@
     <option name="removeUnused" value="true" />
     <option name="modifyBaseFiles" value="true" />
   </component>
+  <component name="TestRunnerService">
+    <option name="PROJECT_TEST_RUNNER" value="py.test" />
+  </component>
 </module>

Configuration.py

@@ -31,21 +31,30 @@ class Configuration:
         # list of strategies in config.
         self.strategies_list = []
 
+        # list of trades.
+        self.trades = []
+
         # The data that will be saved and loaded from file .
         self.saved_data = None
 
-    def new_strategy(self, data):
-        # The strategies_list is modified by reference in strategies the loaded in config_and_states('save').
-        # Save it to file.
-        self.config_and_states('save')
+        # Load any saved data from file
+        self.config_and_states('load')
 
-    def new_signal(self, data):
-        # Create a new signal.
-        self.saved_data['signals'].append(data)
+    def update_data(self, data_type, data):
+        # Replace current list of data sets with an updated list.
+        if data_type == 'strategies':
+            self.strategies_list = data
+        elif data_type == 'signals':
+            self.signals_list = data
+        elif data_type == 'trades':
+            self.trades = data
+        else:
+            raise ValueError(f'Configuration: update_data(): Unsupported data_type: {data_type}')
         # Save it to file.
         self.config_and_states('save')
 
     def remove(self, what, name):
+        # Removes by name an item from a list in saved data.
         print(f'removing {what}:{name}')
         for obj in self.saved_data[what]:
             if obj['name'] == name:
@@ -54,6 +63,12 @@ class Configuration:
         # Save it to file.
         self.config_and_states('save')
 
+    def set_chart_interval(self, interval):
+        self.chart_interval = interval
+
+    def set_trading_pair(self, symbol):
+        self.trading_pair = symbol
+
     def config_and_states(self, cmd):
         """Loads or saves configurable data to the file set in self.config_FN"""
 
@@ -62,16 +77,29 @@ class Configuration:
             'indicator_list': self.indicator_list,
             'config': {'chart_interval': self.chart_interval, 'trading_pair': self.trading_pair},
             'signals': self.signals_list,
-            'strategies': self.strategies_list
+            'strategies': self.strategies_list,
+            'trades': self.trades
         }
 
         def set_loaded_values():
             # Sets the values in the saved_data object.
-            self.indicator_list = self.saved_data['indicator_list']
-            self.chart_interval = self.saved_data['config']['chart_interval']
-            self.trading_pair = self.saved_data['config']['trading_pair']
-            self.signals_list = self.saved_data['signals']
-            self.strategies_list = self.saved_data['strategies']
+            if 'indicator_list' in self.saved_data:
+                self.indicator_list = self.saved_data['indicator_list']
+
+            if 'chart_interval' in self.saved_data['config']:
+                self.chart_interval = self.saved_data['config']['chart_interval']
+
+            if 'trading_pair' in self.saved_data['config']:
+                self.trading_pair = self.saved_data['config']['trading_pair']
+
+            if 'signals' in self.saved_data:
+                self.signals_list = self.saved_data['signals']
+
+            if 'strategies' in self.saved_data:
+                self.strategies_list = self.saved_data['strategies']
+
+            if 'trades' in self.saved_data:
+                self.trades = self.saved_data['trades']
 
         def load_configuration(filepath):
             """load file data"""
@@ -88,13 +116,15 @@ class Configuration:
             # If load_configuration() finds a file it overwrites
             # the saved_data object otherwise it creates a new file
             # with the defaults contained in saved_data>
+
+            # If file exist load the values.
             try:
-                # If file exist load the values.
                 self.saved_data = load_configuration(self.config_FN)
                 set_loaded_values()
+            # If file doesn't exist create a file and save the default values.
             except IOError:
-                # If file doesn't exist create a file and save the default values.
                 save_configuration(self.config_FN, self.saved_data)
+
         elif cmd == 'save':
             try:
                 # Write saved_data to the file.

Signals.py

@@ -1,3 +1,4 @@
+import json
 from dataclasses import dataclass
 
 
@@ -51,19 +52,14 @@ class Signal:
 
 
 class Signals:
-    def __init__(self):
-        self.signals = []
-        # self.set_signals_defaults()
+    def __init__(self, loaded_signals=None):
 
-    def set_signals_defaults(self):
-        """These defaults are loaded if the config file is not found."""
-        sigs = self.get_signals_defaults()
-        for sig in sigs:
-            self.signals.append(Signal(name=sig['name'], source1=sig['source1'],
-                                       prop1=sig['prop1'], operator=sig['operator'],
-                                       source2=sig['source2'], prop2=sig['prop2'],
-                                       state=sig['state']))
-        return
+        # list of Signal objects.
+        self.signals = []
+
+        # Initialize signals with loaded data.
+        if loaded_signals is not None:
+            self.create_signal_from_dic(loaded_signals)
 
     @staticmethod
     def get_signals_defaults():
@@ -85,15 +81,41 @@ class Signals:
               "value2": None, "range": None}
         return [s1, s2, s3]
 
-    def init_loaded_signals(self, signals_list):
-        for sig in signals_list:
-            self.signals.append(Signal(name=sig['name'], source1=sig['source1'],
-                                       prop1=sig['prop1'], operator=sig['operator'],
-                                       source2=sig['source2'], prop2=sig['prop2'],
-                                       state=sig['state']))
+    def create_signal_from_dic(self, signals_list=None):
+        """
+            :param signals_list: list of dict
+            :return True: on success.
+            Create and store signal objects from list of dictionaries.
+        """
 
-    def get_signals(self):
-        return self.signals
+        # If no signals were provided used a default list.
+        if signals_list is None:
+            signals_list = self.get_signals_defaults()
+        # Loop through the provided list, unpack the dictionaries, create and store the signal objects.
+        for sig in signals_list:
+            self.new_signal(sig)
+        return True
+
+    def get_signals(self, form):
+        # Return a python object of all the signals stored in this instance.
+        if form == 'obj':
+            return self.signals
+        # Return a JSON object of all the signals stored in this instance.
+        elif form == 'json':
+            sigs = self.signals
+            json_str = []
+            for sig in sigs:
+                # TODO: note - Explore why I had to treat signals and strategies different here.
+                json_str.append(json.dumps(sig.__dict__))
+            return json_str
+        # Return a dictionary object of all the signals stored in this instance.
+        elif form == 'dict':
+            sigs = self.signals
+            s_list = []
+            for sig in sigs:
+                dic = sig.__dict__
+                s_list.append(dic)
+            return s_list
 
     def get_signal_by_name(self, name):
         for signal in self.signals:

Strategies.py

@@ -1,25 +1,200 @@
 import json
 
 
+class Strategy:
+    def __init__(self, **args):
+        """
+        :param args: An object containing key_value pairs representing strategy attributes.
+                    Strategy format is defined in strategies.js
+        """
+        self.current_value = None
+        self.opening_value = None
+        self.gross_pl = None
+        self.net_pl = None
+        self.combined_position = None
+
+        # A strategy is defined in Strategies.js it is received from the client,
+        # then unpacked and converted into a python object here.
+        for name, value in args.items():
+            # Make each keyword-argument a property of the class.
+            setattr(self, name, value)
+
+        # A container to hold previous state of signals.
+        self.last_states = {}
+
+        # A list of all the trades made by this strategy.
+        self.trades = []
+
+    def get_position(self):
+        return self.combined_position
+
+    def get_pl(self):
+        self.update_pl()
+        return self.net_pl
+
+    def update_pl(self):
+        # sum the pl of all the trades.
+        position_sum = 0
+        pl_sum = 0
+        opening_value_sum = 0
+        value_sum = 0
+        for trade in self.trades:
+            pl_sum += trade.profit_loss
+            position_sum += trade.position_size
+            value_sum += trade.value
+            opening_value_sum += trade.opening_value
+        self.combined_position = position_sum
+        self.gross_pl = pl_sum
+        self.opening_value = opening_value_sum
+        self.current_value = value_sum
+
+    def to_json(self):
+        return json.dumps(self, default=lambda o: o.__dict__,
+                          sort_keys=True, indent=4)
+
+    def evaluate_strategy(self, signals):
+        """
+        :param signals: Signals: A reference to an object that handles current signal states.
+        :return action: Action required based on evaluation. format{cmd:str, amount:real, margin:int}
+        """
+
+        def condition_satisfied(sig_name, value):
+            """
+            Check if a signal has a state of value.
+            :param sig_name: str: The name of a signal object to compare states.
+            :param value: The state value to compare.
+            :return bool: True: <Signal:sig_name:state> == <value>.
+            """
+            signal = signals.get_signal_by_name(sig_name)
+            # Evaluate for a state change
+            if value == 'changed':
+                # Store the state if it hasn't been stored yet.
+                if sig_name not in self.last_states:
+                    self.last_states.update({sig_name: signal.state})
+                # Store the new state and return true if the state has changed.
+                if self.last_states[sig_name] != signal.state:
+                    self.last_states.update({sig_name: signal.state})
+                    return True
+            else:
+                # Else return true if the values match.
+                return value == json.dumps(signal.state)
+
+        def all_conditions_met(conditions):
+            # Loops through a lists of signal names and states.
+            # Returns True if all combinations are true.
+            if len(conditions) < 1:
+                print(f"no trade-in conditions supplied: {self.name}")
+                return False
+            # Evaluate all conditions and return false if any are un-met.
+            for trigger_signal in conditions.keys():
+                trigger_value = conditions[trigger_signal]
+                # Compare this signal's state with the trigger_value
+                print(f'evaluating :({trigger_signal, trigger_value})')
+                if not condition_satisfied(trigger_signal, trigger_value):
+                    print('returning false')
+                    return False
+            print('all conditions met!!!')
+            return True
+
+        def trade_out_condition_met(condition_type):
+            # Retrieve the condition from either the 'stop_loss' or 'take_profit' obj.
+            condition = getattr(self, condition_type)
+            # Subtypes of conditions are 'conditional' or 'value'.
+            if condition.typ == 'conditional':
+                signal_name = condition.trig
+                signal_value = condition.val
+                return condition_satisfied(signal_name, signal_value)
+            else:
+                if condition_type == 'take_profit':
+                    if self.merged_profit:
+                        # If the profit condition is met send command to take profit.
+                        return self.gross_profit > self.take_profit.val
+                    else:
+                        #  Loop through each associated trade and test
+                        for trade in self.trades:
+                            return trade.profit_loss > self.take_profit.val
+                elif condition_type == 'value':
+                    if self.merged_loss:
+                        # If the loss condition is met, return a trade-out command.
+                        return self.gross_loss < self.stop_loss.val
+                    else:
+                        #  Loop through each associated trade and test
+                        for trade in self.trades:
+                            return trade.profit_loss < self.stop_loss.val
+                else:
+                    raise ValueError('trade_out_condition_met: invalid condition_type')
+
+        trade_in_cmd = self.side
+        if self.side == 'buy':
+            trade_out_cmd = 'sell'
+        else:
+            trade_out_cmd = 'buy'
+        if self.type == 'in-out':
+            print('evaluating trade in conditions for in / out')
+            # If trade-in conditions are met.
+            if all_conditions_met(self.trd_in_conds):
+                # If the new trade wouldn't exceed max_position. Return a trade-in command.
+                proposed_position_size = int(self.combined_position) + int(self.trade_amount)
+                if proposed_position_size < int(self.max_position):
+                    return 'open_position', trade_in_cmd
+
+            # If strategy is active test the take-profit or stop-loss conditions.
+            if self.active:
+                # Conditional take-profit trades-out if a signals equals a set value.
+                if trade_out_condition_met('take_profit'):
+                    return 'take_profit', trade_out_cmd
+
+                # Conditional stop-loss trades-outs if a signals value equals a set value.
+                if trade_out_condition_met('stop_loss'):
+                    return 'stop_loss', trade_out_cmd
+
+        # No conditions were met.
+        print('Strategies were updated and nothing to do.')
+        return 'do_nothing', 'nothing'
+
+
 class Strategies:
     def __init__(self, loaded_strats, trades):
-        self.strat_list = loaded_strats
+        # Reference to the trades object that maintains all trading actions and data.
         self.trades = trades
+        # A list of all the Strategies created.
+        self.strat_list = []
+        # Initialise all the stately objects with the data saved to file.
+        for entry in loaded_strats:
+            self.strat_list.append(Strategy(**entry))
 
     def new_strategy(self, data):
-        self.strat_list.append(data)
+        # Create an instance of the new Strategy.
+        self.strat_list.append(Strategy(**data))
 
     def delete_strategy(self, name):
         obj = self.get_strategy_by_name(name)
         if obj:
             self.strat_list.remove(obj)
 
-    def get_strategies(self):
-        return self.strat_list
+    def get_strategies(self, form):
+        # Return a python object of all the strategies stored in this instance.
+        if form == 'obj':
+            return self.strat_list
+        # Return a JSON object of all the strategies stored in this instance.
+        elif form == 'json':
+            strats = self.strat_list
+            json_str = []
+            for strat in strats:
+                json_str.append(strat.to_json())
+            return json_str
+        # Return a dictionary object of all the strategies stored in this instance.
+        elif form == 'dict':
+            strats = self.strat_list
+            s_list = []
+            for st in strats:
+                dic = st.__dict__
+                s_list.append(dic)
+            return s_list
 
     def get_strategy_by_name(self, name):
         for obj in self.strat_list:
-            if obj['name'] == name:
+            if obj.name == name:
                 return obj
         return False
 
@@ -27,33 +202,34 @@ class Strategies:
         order_type = 'LIMIT'
         if action == 'open_position':
             # Attempt to create the trade.
-            trade_id = self.trades.new_trade(strategy['symbol'], cmd, order_type, strategy['trade_amount'])
-            # If the trade didn't fail.
-            if trade_id is not False:
-                # Set the active flag in strategy.
-                strategy['active'] = True
-                strategy['current_position'] += strategy['trade_amount']
-                strategy['trades'].append(trade_id)
-                return 'position_opened'
-            else:
-                print('Failed to place trade')
+            status, result = self.trades.new_trade(strategy.symbol, cmd, order_type, strategy.trade_amount)
+            # If the trade failed.
+            if status == 'Error':
+                print(status, result)
                 return 'failed'
+            else:
+                # Set the active flag in strategy.
+                strategy.active = True
+                strategy.current_position += strategy.trade_amount
+                strategy.trades.append(result)
+                return 'position_opened'
 
         if (action == 'stop_loss') or (action == 'take_profit'):
             if action == 'stop_loss':
                 order_type = 'MARKET'
             # Attempt to create the trade.
-            trade = self.trades.new_trade(strategy['symbol'], cmd, order_type, strategy['current_position'])
-            # If the trade didn't fail.
-            if trade is not False:
+            status, result = self.trades.new_trade(strategy['symbol'], cmd, order_type, strategy['current_position'])
+            # If the trade failed.
+            if status == 'Error':
+                print(status, result)
+                return 'failed'
+            else:
                 # Set the active flag in strategy.
                 strategy['active'] = False
                 strategy['current_position'] = 0
                 return 'position_closed'
-            else:
-                print('Failed to place trade')
-                return 'failed'
-        print('Strategies.execute_cmd: Invalid action received.')
+
+        print(f'Strategies.execute_cmd: Invalid action received: {action}')
         return 'failed'
 
     def update(self, signals):
@@ -62,99 +238,28 @@ class Strategies:
         published strategies and evaluates conditions against the data.
         This function returns a list of strategies and action commands.
         """
-        # Object containing data to return to function caller.
-        actions = {}
+        def process_strategy(strategy):
+            action, cmd = strategy.evaluate_strategy(signals)
+            if action != 'do_nothing':
+                # Execute the command.
+                return {'action': action, 'result': self.execute_cmd(strategy, action, cmd)}
+            return {'action': 'none'}
+
+        def get_stats(strategy):
+            position = strategy.get_position()
+            pl = strategy.get_pl()
+            stats = {'pos': position, 'pl': pl}
+            return stats
+
+        # Data object returned to function caller.
+        return_obj = {}
         # Loop through all the published strategies.
         for strategy in self.strat_list:
-            # Process any take_profit strategy.
-            if strategy['type'] == 'take_profit':
-                action, cmd = self.eval_tp_stg(strategy, signals)
-                if action == 'do_nothing':
-                    return False
-                else:
-                    # Execute the command.
-                    actions[strategy['name']] = self.execute_cmd(strategy, action, cmd)
-            else:
-                print(f"Strategy.update: Strategy of type {strategy['type']} - not yet implemented.")
-        if len(actions) != 0:
-            return actions
-        else:
+            actions = process_strategy(strategy)
+            stat_updates = get_stats(strategy)
+            return_obj[strategy.name] = {'actions': actions, 'stats': stat_updates}
+        if len(return_obj) == 0:
             return False
-
-    def eval_tp_stg(self, strategy, signals):
-        """
-        :param strategy: str: The strategy to evaluate.
-        :param signals: Signals: A reference to an object that handles current signal states.
-        :return action: Action required based on evaluation. format{cmd:str, amount:real, margin:int}
-        """
-
-        def condition_satisfied(sig_name, vlue):
-            signal = signals.get_signal_by_name(sig_name)
-            if vlue == json.dumps(signal.state):
-                return True
-            else:
-                return False
-
-        def all_conditions_met(conditions):
-            if len(conditions) < 1:
-                print(f"no trade-in conditions supplied: {strategy['name']}")
-                return False
-            # Evaluate all conditions and return false if any are un-met.
-            for trigger_signal in conditions.keys():
-                trigger_value = conditions[trigger_signal]
-                # Compare this signal's state with the trigger_value
-                if not condition_satisfied(trigger_signal, trigger_value):
-                    return False
-            return True
-
-        def trade_out_condition_met(condition_type):
-            if strategy[condition_type]['typ'] == 'conditional':
-                signal_name = strategy[condition_type]['trig']
-                signal_value = strategy[condition_type]['val']
-                if condition_satisfied(signal_name, signal_value):
-                    # If the condition is met trade-out.
-                    return True
-                else:
-                    return False
-            else:
-                if strategy[condition_type]['typ'] != 'value':
-                    raise ValueError('trade_out_condition_met: invalid condition_type')
-                if condition_type == 'take_profit':
-                    # If the profit condition is met send command to take profit.
-                    if strategy['gross_profit'] > strategy['take_profit']['val']:
-                        return True
-                    else:
-                        return False
-                else:
-                    # If the loss condition is met, return a trade-out command.
-                    if strategy['gross_loss'] < strategy['stop_loss']['val']:
-                        return True
-                    else:
-                        return False
-
-        trade_in_cmd = strategy['side']
-        if strategy['side'] == 'buy':
-            trade_out_cmd = 'sell'
         else:
-            trade_out_cmd = 'buy'
+            return return_obj
 
-        # If trade-in conditions are met.
-        if all_conditions_met(strategy['trd_in_conds']):
-            # If the new trade wouldn't exceed max_position. Return a trade-in command.
-            proposed_position_size = strategy['current_position'] + strategy['trade_amount']
-            if proposed_position_size < strategy['max_position']:
-                return 'enter_position', trade_in_cmd
-
-        # If strategy is active test the take-profit or stop-loss conditions.
-        if strategy['active']:
-            # Conditional take-profit trades-out if a signals equals a set value.
-            if trade_out_condition_met('take_profit'):
-                return 'take_profit', trade_out_cmd
-
-            # Conditional stop-loss trades-outs if a signals value equals a set value.
-            if trade_out_condition_met('stop_loss'):
-                return 'stop_loss', trade_out_cmd
-
-        # No conditions were met.
-        print('Strategies were updated and nothing to do.')
-        return 'do_nothing', 'nothing'

app.py

@@ -1,28 +1,33 @@
 import json
-
+# Flask is a lightweight html server used to render the UI.
 from flask import Flask, render_template, request, redirect, jsonify
 from flask_cors import cross_origin
 from binance.enums import *
 from flask_sock import Sock
 
-# Handles all server side data and interactions.
+# Handles all updates and requests for locally stored data.
 from data import BrighterData
 
-# Define app
-app = Flask(__name__)
-sock = Sock(app)
+# Create a Flask object named interface that serves the html.
+interface = Flask(__name__)
+# Create a socket in order to receive requests.
+sock = Sock(interface)
 
-# This object maintains all the application and historical data.
-# Access to server, local storage, other classes go through here.
+# Create a BrighterData object. This the main application that maintains access to the server, local storage,
+# and manages objects that process trade data.
 app_data = BrighterData()
 
-# app.config['SECRET_KEY'] = 'The quick brown fox jumps over the lazy dog'
-# app.config['CORS_HEADERS'] = 'Content-Type'
-# cors = CORS(app, resources={r"*": {"origins": "*"}})
 
-@app.route('/')
+# TODO: The cors object had something to do with an error I was getting while
+#       receiving json. It may not be needed anymore.
+#  interface.config['CORS_HEADERS'] = 'Content-Type'
+#  cors = CORS(interface, resources={r"*": {"origins": "*"}})
+
+@interface.route('/')
 def index():
-    # Passes data into an HTML template and serves it to a locally hosted server
+    # Generate and return a landing page for the web application.
+    # Fetch data from app_data and inject it into an HTML template.
+    # Render the template and serve it upon request.
     rendered_data = app_data.get_rendered_data()
     js_data = app_data.get_js_init_data()
     return render_template('index.html',
@@ -40,77 +45,111 @@ def index():
 
 @sock.route('/ws')
 def ws(sock):
+    # TODO: Note I started using a socket to receive messages from the UI rather then the
+    #       Flask interfaces because it was getting complicated to return data to the UI objects.
+    #       I was getting error messages regarding headers while transferring json objects
+    #       and found it problematic dealing with browser refreshes.
+    # Define a websocket to handle request originating from the UI.
+    # Handle incoming json msg's.
     def json_msg_received(msg_obj):
-        if 'message_type' in msg_obj:
-            if msg_obj['message_type'] == 'candle_data':
-                # Send the candle to the BrighterData_obj
-                # and forward any returned data to the client.
-                r_data = app_data.received_cdata(msg_obj['data'])
-                if r_data:
-                    resp = {
-                        "reply": "updates",
-                        "data": r_data
-                    }
-                    sock.send(json.dumps(resp))
-
-            if msg_obj['message_type'] == 'request':
-                if msg_obj['data'] == 'signals':
-                    signals = app_data.get_signals()
-                    if signals:
-                        resp = {
-                            "reply": "signals",
-                            "data": signals
-                        }
-                        resp = json.dumps(resp)
-                        sock.send(resp)
-                elif msg_obj['data'] == 'strategies':
-                    strategies = app_data.get_strategies()
-                    if strategies:
-                        resp = {
-                            "reply": "strategies",
-                            "data": strategies
-                        }
-                        resp = json.dumps(resp)
-                        sock.send(resp)
-                else:
-                    print('Warning: Unhandled request!')
-                    print(msg_obj['data'])
-
-            if msg_obj['message_type'] == 'delete_signal':
-                app_data.delete_signal(msg_obj['data'])
-
-            if msg_obj['message_type'] == 'delete_strategy':
-                app_data.delete_strategy(msg_obj['data'])
-
-            if msg_obj['message_type'] == 'reply':
-                print(msg_obj['rep'])
-                print('Reply')
-
-            if msg_obj['message_type'] == 'new_signal':
-                # Send the data to the BrighterData_obj
-                # and forward any returned data to the client.
-                r_data = app_data.received_new_signal(msg_obj['data'])
-                if r_data:
-                    resp = {
-                        "reply": "signal_created",
-                        "data": r_data
-                    }
-                    resp = json.dumps(resp)
-                    sock.send(resp)
-
-            if msg_obj['message_type'] == 'new_strategy':
-                # Send the data to the BrighterData_obj
-                # and forward any returned data to the client.
-                r_data = app_data.received_new_strategy(msg_obj['data'])
-                if r_data:
-                    resp = {
-                        "reply": "strategy_created",
-                        "data": r_data
-                    }
-                    resp = json.dumps(resp)
-                    sock.send(resp)
+        if 'message_type' not in msg_obj:
             return
 
+        if msg_obj['message_type'] == 'candle_data':
+            # If we received candle data. Send it to the BrighterData_obj
+            # and forward any returned data to the client.
+            r_data = app_data.received_cdata(msg_obj['data'])
+            if r_data:
+                resp = {
+                    "reply": "updates",
+                    "data": r_data
+                }
+                sock.send(json.dumps(resp))
+
+        if msg_obj['message_type'] == 'request':
+            # If a request for data is received fetch it from the appropriate object
+            # and return.
+            if msg_obj['data'] == 'signals':
+                signals = app_data.get_signals()
+                if signals:
+                    resp = {
+                        "reply": "signals",
+                        "data": signals
+                    }
+                    resp = json.dumps(resp)
+                    sock.send(resp)
+            elif msg_obj['data'] == 'strategies':
+                strategies = app_data.get_strategies()
+                if strategies:
+                    resp = {
+                        "reply": "strategies",
+                        "data": strategies
+                    }
+                    resp = json.dumps(resp)
+                    sock.send(resp)
+            elif msg_obj['data'] == 'trades':
+                trades = app_data.get_trades()
+                if trades:
+                    resp = {
+                        "reply": "trades",
+                        "data": trades
+                    }
+                    resp = json.dumps(resp)
+                    sock.send(resp)
+            else:
+                print('Warning: Unhandled request!')
+                print(msg_obj['data'])
+
+        # If the message is a command.
+        # Pass the command and data on to app_data to process.
+        if msg_obj['message_type'] == 'delete_signal':
+            app_data.delete_signal(msg_obj['data'])
+
+        if msg_obj['message_type'] == 'delete_strategy':
+            app_data.delete_strategy(msg_obj['data'])
+
+        if msg_obj['message_type'] == 'new_signal':
+            # Send the data to the BrighterData object.
+            # and forward any returned data to the client.
+            r_data = app_data.received_new_signal(msg_obj['data'])
+            if r_data:
+                resp = {
+                    "reply": "signal_created",
+                    "data": r_data
+                }
+                resp = json.dumps(resp)
+                sock.send(resp)
+
+        if msg_obj['message_type'] == 'new_strategy':
+            # Send the data to the BrighterData_obj
+            # and forward any returned data to the client.
+            r_data = app_data.received_new_strategy(msg_obj['data'])
+            if r_data:
+                resp = {
+                    "reply": "strategy_created",
+                    "data": r_data
+                }
+                resp = json.dumps(resp)
+                sock.send(resp)
+
+        if msg_obj['message_type'] == 'new_trade':
+            # Send the data to the BrighterData_obj
+            # and forward any returned data to the client.
+            r_data = app_data.received_new_trade(msg_obj['data'])
+            if r_data:
+                resp = {
+                    "reply": "trade_created",
+                    "data": r_data
+                }
+                resp = json.dumps(resp)
+                sock.send(resp)
+
+        # If the message is a reply log the response to the terminal.
+        if msg_obj['message_type'] == 'reply':
+            print(f"\napp.py:Received reply: {msg_obj['rep']}")
+
+        return
+
     # The rendered page connects to the exchange and relays the candle data back here
     # this socket also handles data and processing requests
     while True:
@@ -125,38 +164,62 @@ def ws(sock):
                 print(f'Msg received from client: {msg}')
 
 
-@app.route('/buy', methods=['POST'])
-@cross_origin(origin='localhost', headers=['Content- Type', 'Authorization'])
-def buy():
-    print('This buy route is currently not being used.')
-    # app_data.trades.new_trade(
-    #     symbol=request.form['symbol'], side=SIDE_BUY,
-    #     type=ORDER_TYPE_MARKET, quantity=request.form['quantity'])
-    return redirect('/')
+# @interface.route('/trade', methods=['POST'])
+# @cross_origin(origin='localhost', headers=['Content- Type', 'Authorization'])
+# def trade():
+#     # todo: This interface method is a straight forward approach to communicating from the frontend to backend
+#     #  it only require an html form on the UI side. It's difficult to return a response without refreshing the UI.
+#     #  I may be missing a solution that doesn't require rendering a hidden frame in the UI and complicating the code
+#     #   further. I am abandoning this approach for socket method above. Although I am uncomfortable with the loop
+#     #   the above solution requires. The server probably has already implemented such a loop so it seems inefficient.
+#     #   Also I would like to implement data processing loops on the server side that may compete for resources.
+#     #   One solution is to create another interface /trade_response. This would require a buffer so nothing gets
+#     #   missed or overwritten. /trade_response would be polled by the UI at set intervals. Not sure if it
+#     #   would decrease overhead to the server. I'm keeping this here for future consideration.
+#     def fetch(attr):
+#         # Verify and validate input data.
+#         if attr in request.form and request.form[attr] != '':
+#             return request.form[attr]
+#         else:
+#             return None
+#     # Forward the request to data.
+#     status, result = app_data.received_new_trade(symbol=fetch('symbol'), price=fetch('price'),
+#                                                  side=fetch('side'), order_type=fetch('orderType'),
+#                                                  quantity=fetch('quantity'))
+#     # Log any error to the terminal.
+#     if status == 'Error':
+#         print(f'\napp.py:trade() - Error placing the trade: {result}')
+#     # Log order to terminal.
+#     print(f"\napp.py:trade() - Trade order received: symbol={fetch('symbol')},"
+#           f" side={fetch('side')}, type={fetch('orderType')}, quantity={fetch('quantity')},price={fetch('price')}")
+#
+#     return redirect('/')
 
 
-@app.route('/sell', methods=['POST'])
-@cross_origin(origin='localhost', headers=['Content- Type', 'Authorization'])
-def sell():
-    print('This sell route is currently not being used.')
-    # app_data.trades.new_trade(
-    #     symbol=request.form['symbol'], side=SIDE_SELL,
-    #     type=ORDER_TYPE_MARKET, quantity=request.form['quantity'])
-    return redirect('/')
-
-
-@app.route('/settings', methods=['POST'])
+@interface.route('/settings', methods=['POST'])
 @cross_origin(origin='localhost', headers=['Content- Type', 'Authorization'])
 def settings():
+    """
+    This route is used to change setting of the trading app
+    that require a browser refresh. Options are:
+
+    interval: For setting the time frame the app is trading in.
+    trading_pair: The pair being traded.
+    toggle_indicator: enables or disables indicators
+    edit_indicator: edits the properties of specific indicators.
+    new_indicator: Creates a new indicator and stores it.
+
+    :return: redirects the browser to the index /
+    """
     setting = request.form['setting']
     if setting == 'interval':
         interval_state = request.form['timeframe']
-        app_data.config.chart_interval = interval_state
+        app_data.config.set_chart_interval(interval_state)
     elif setting == 'trading_pair':
-        trading_pair = request.form['trading_pair']
-        app_data.config.trading_pair = trading_pair
+        trading_pair = request.form['symbol']
+        app_data.config.set_trading_pair(trading_pair)
     elif setting == 'toggle_indicator':
-        # Get a list of indicators to enable
+        # Create a list of all the enabled indicators.
         enabled_indicators = []
         for i in request.form:
             if request.form[i] == 'indicator':
@@ -224,23 +287,27 @@ def settings():
     return redirect('/')
 
 
-@app.route('/history')
+@interface.route('/history')
 @cross_origin(origin='localhost', headers=['Content- Type', 'Authorization'])
 def history():
+    # Returns the candle history of a specific trading pair and interval.
+    # Currently, set to last 1000 candles.
     symbol = app_data.config.trading_pair
     interval = app_data.config.chart_interval
     return jsonify(app_data.candles.get_candle_history(symbol, interval, 1000))
 
 
-@app.route('/saved_data')
+@interface.route('/saved_data')
 @cross_origin(origin='localhost', headers=['Content- Type', 'Authorization'])
 def saved_data():
+    # Returns the saved settings for the indicators
     return jsonify(app_data.indicators.indicator_list)
 
 
-@app.route('/indicator_init')
+@interface.route('/indicator_init')
 @cross_origin(origin='localhost', headers=['Content- Type', 'Authorization'])
 def indicator_init():
+    # Initializes the indicators and returns the data for a given symbol and interval.
     symbol = app_data.config.trading_pair
     interval = app_data.config.chart_interval
     d = app_data.indicators.get_indicator_data(symbol, interval, 800)

candles.py

@@ -1,24 +1,30 @@
 import datetime
 import csv
+from binance.enums import HistoricalKlinesType
 
 
 class Candles:
-    def __init__(self, config, client):
-        # Keep a reference to the exchange client.
-        self.client = client
+    def __init__(self, config, exchange):
+        # Keep a reference to the exchange object.
+        self.exchange = exchange
+
         # The maximum amount of data to load into memory at one time.
         self.max_data_loaded = config.max_data_loaded
-        # A reference to the app configuration
+
+        # A reference to the interface configuration
         self.config = config
 
         # The entire loaded candle history
         self.candlesticks = []
+
         # List of dictionaries of timestamped high, low, and closing values
         self.latest_high_values = []
         self.latest_low_values = []
         self.latest_close_values = []
+
         # Values of the last candle received
         self.last_candle = None
+
         # List of dictionaries of timestamped volume values
         self.latest_vol = []
 
@@ -26,11 +32,15 @@ class Candles:
         self.set_candle_history(symbol=config.trading_pair, interval=config.chart_interval)
 
     def set_new_candle(self, cdata):
+        #  TODO: this is not updating self.candlesticks[]. I think it is because it is
+        #  todo: not in the raw format received earlier. check that the format is the same.
+        #  todo: candlesticks is accessed by get_candle_history() while init the charts
         self.last_candle = cdata
         self.latest_close_values.append({'time': cdata['time'], 'close': cdata['close']})
         self.latest_high_values.append({'time': cdata['time'], 'high': cdata['high']})
         self.latest_low_values.append({'time': cdata['time'], 'low': cdata['low']})
         self.latest_vol.append({'time': cdata['time'], 'value': cdata['vol']})
+        return True
 
     def load_candle_history(self, symbol, interval):
         """ Retrieve candlestick history from a file and append it with
@@ -76,7 +86,10 @@ class Candles:
             # Set <last_candle_stamp> with the timestamp of the last candles on file
             last_candle_stamp = candlesticks[-1][0]
         # Request any missing candlestick data from the exchange
-        recent_candlesticks = self.client.get_historical_klines(symbol, interval, start_str=int(last_candle_stamp))
+        recent_candlesticks = self.exchange.client.get_historical_klines(symbol,
+                                                                         interval,
+                                                                         start_str=int(last_candle_stamp),
+                                                                         klines_type=HistoricalKlinesType.FUTURES)
         # Discard the first row of candlestick data as it will be a duplicate***DOUBLE CHECK THIS
         recent_candlesticks.pop(0)
         # Append the candlestick list and the file

data.py

@@ -1,10 +1,7 @@
-from binance.client import Client
-
-import config
 from Strategies import Strategies
 from candles import Candles
 from Configuration import Configuration
-from exchange_info import ExchangeInfo
+from exchange import Exchange
 from indicators import Indicators
 from Signals import Signals
 from trade import Trades
@@ -14,39 +11,34 @@ import json
 class BrighterData:
     def __init__(self):
 
-        # Initialise a connection to the Binance client API
-        self.client = Client(config.API_KEY, config.API_SECRET)
-
-        # Object that maintains signals
-        self.signals = Signals()
+        # Object that interacts and maintains exchange and account data
+        self.exchange = Exchange()
 
         # Configuration and settings for the user interface and charts
         self.config = Configuration()
 
-        # Load any saved data from file
-        self.config.config_and_states('load')
-
-        # Initialize signals with loaded data.
-        self.signals.init_loaded_signals(self.config.signals_list)
+        # Object that maintains signals. Initialize with any signals loaded from file.
+        self.signals = Signals(self.config.signals_list)
 
         # Object that maintains candlestick and price data.
-        self.candles = Candles(self.config, self.client)
+        self.candles = Candles(self.config, self.exchange)
 
         # Object that interacts with and maintains data from available indicators
         self.indicators = Indicators(self.candles, self.config)
 
-        # Object that maintains exchange and account data
-        self.exchange_info = ExchangeInfo(self.client)
-
-        # Object that maintains the strategies data
-        self.trades = Trades(self.client)
+        # Object that maintains the trades data
+        self.trades = Trades(self.config.trades)
+        # The Trades object needs to connect to an exchange.
+        self.trades.connect_exchange(exchange=self.exchange)
 
         # Object that maintains the strategies data
         self.strategies = Strategies(self.config.strategies_list, self.trades)
 
     def get_js_init_data(self):
-        """Returns a JSON object of initialization data
-         for the javascript in the rendered HTML"""
+        """
+        Returns a JSON object of initialization data.
+        This is passed into the frontend HTML template for the javascript to access in the rendered HTML.
+        """
         js_data = {'i_types': self.indicators.indicator_types,
                    'indicators': self.indicators.indicator_list,
                    'interval': self.config.chart_interval,
@@ -55,13 +47,13 @@ class BrighterData:
 
     def get_rendered_data(self):
         """
-            Data to be rendered in the HTML
+            Data to be injected into the HTML template that renders the frontend UI.
         """
         rd = {}
         rd['title'] = self.config.application_title  # Title of the page
-        rd['my_balances'] = self.exchange_info.balances  # Balances on the exchange
-        rd['symbols'] = self.exchange_info.symbols  # Symbols information from the exchange
-        rd['intervals'] = self.exchange_info.intervals  # Time candle time intervals available to stream
+        rd['my_balances'] = self.exchange.balances  # Balances on the exchange
+        rd['symbols'] = self.exchange.symbols  # Symbols information from the exchange
+        rd['intervals'] = self.exchange.intervals  # Time candle time intervals available to stream
         rd['chart_interval'] = self.config.chart_interval  # The charts current interval setting
         rd['indicator_types'] = self.indicators.indicator_types  # All the types indicators Available
         rd['indicator_list'] = self.indicators.get_indicator_list()  # indicators available
@@ -70,83 +62,96 @@ class BrighterData:
         return rd
 
     def received_cdata(self, cdata):
-        # If this is the first candle received,
-        # then set last_candle. Then set a new candle.
+        """
+        This is called to pass in new price data when it is received.
+        :param cdata: <A candle object> - An object containing the most recent price data.
+        :return: <dict> - Dictionary object containing information about the updates to be passed onto the UI.
+        """
+        # If this is the first candle received last_candle will be empty.
         if not self.candles.last_candle:
+            # Set last_candle.
             self.candles.last_candle = cdata
-        # If this candle is the same as last candle return nothing to do.
-        elif cdata['time']:
-            if cdata['time'] == self.candles.last_candle['time']:
-                return
+        # If this is not the first candle, but it's the same as the last candle recorded.
+        elif cdata['time'] == self.candles.last_candle['time']:
+            # Return without doing anything.
+            return None
 
-        # New candle is received update the instance data records. And the indicators.
+        # A new candle is received with a different timestamp from the last candle.
+        # Update the instance data records.
         self.candles.set_new_candle(cdata)
+        # Update the indicators and receive a dictionary of indicator results.
         i_updates = self.indicators.update_indicators()
-        # Process the signals based on the last indicator updates.
+        # Now that all the indicators have changed. Process the signals and receive a list of signals that
+        # have changed their states.
         state_changes = self.signals.process_all_signals(self.indicators)
-        # Update the trades instance.
+        # Update the trades instance with the new price data.
         trade_updates = self.trades.update(cdata)
-        # Update the strategies instance.
+        # Update the strategies instance. Strategy execution is based on the signal states and trade values.
+        # This must be updated last.
         stg_updates = self.strategies.update(self.signals)
 
-        # Format and return an update object.
-        updates = {'i_updates': i_updates}
+        # Format and return an update object to pass information to the frontend UI.
+        updates = {}
+        if i_updates:
+            updates.update({'i_updates': i_updates})
         if state_changes:
             print(state_changes)
             updates.update({'s_updates': state_changes})
-        if stg_updates:
-            print(stg_updates)
-            updates.update({'stg_updts': stg_updates})
-
         if trade_updates:
             print(trade_updates)
             updates.update({'trade_updts': trade_updates})
-
+        if stg_updates:
+            print(stg_updates)
+            updates.update({'stg_updts': stg_updates})
         return updates
 
     def received_new_signal(self, data):
-        # Check the data.
+        """
+        This is called when a new Signal has been defined and created in the UI.
+
+        :param data: <dict> - The attributes of the signal.
+        :return: An error if failed. On success return incoming data for chaining.
+        """
+        # Validate the incoming data.
         if 'name' not in data:
             return 'data.py:received_new_signal() - The new signal has no name. '
         # Forward the new signal data to the signals instance. So it can create a new signal.
         self.signals.new_signal(data)
-        # Forward the new signal data to config. So it can save it to file.
-        self.config.new_signal(data)
+        # Update config's list of signals and save it to file.
+        self.config.update_data('signals', self.signals.get_signals('dict'))
         # Send the data back to where it came from.
         return data
 
     def received_new_strategy(self, data):
-        # Check the data.
+        """
+        This is called when a new Strategy has been defined and created in the UI.
+
+        :param data: <dict> - The attributes of the strategy.
+        :return: An error if failed. On success return incoming data for chaining.
+        """
+        # Validate the incoming data.
         if 'name' not in data:
             return 'data.py:received_new_strategy() - The new strategy has no name. '
         # Forward the new strategy data to the strategy's instance. So it can create a new strategy.
         self.strategies.new_strategy(data)
-        # Forward the new signal data to config. So it can save it to file.
-        self.config.new_strategy(data)
+        # Update config's list of strategies and save to file.
+        self.config.update_data('strategies', self.strategies.get_strategies('dict'))
         # Send the data back to where it came from.
         return data
 
     def delete_strategy(self, strategy_name):
-        # Delete the signal from the signals instance.
+        # Delete the strategy from the strategies instance.
         self.strategies.delete_strategy(strategy_name)
-        # Delete the signal from the configuration file.
+        # Delete the strategy from the configuration file.
         self.config.remove('strategies', strategy_name)
 
     def get_signals(self):
-        """ Return a JSON object of all the signals in the signals instance."""
-        sigs = self.signals.get_signals()
-        json_str = []
-        for sig in sigs:
-            json_str.append(json.dumps(sig.__dict__))
-        return json_str
+        """Return a JSON object of all the signals in the signals instance."""
+        return self.signals.get_signals('json')
 
     def get_strategies(self):
-        """ Return a JSON object of all the signals in the signals instance."""
-        strats = self.strategies.get_strategies()
-        json_str = []
-        for strat in strats:
-            json_str.append(json.dumps(strat))
-        return json_str
+        """ Return a JSON object of all the strategies in the strategies instance."""
+        return self.strategies.get_strategies('json')
 
     def delete_signal(self, signal_name):
         # Delete the signal from the signals instance.
@@ -154,3 +159,48 @@ class BrighterData:
         # Delete the signal from the configuration file.
         self.config.remove('signals', signal_name)
 
+    def received_new_trade(self, data):
+        """
+        This is called when a new trade has been defined and created in the UI.
+        Todo: Note - I handled this differently then signals and strategies. Is this better or not?
+        :param data: <dict> - The attributes of the trade.
+        :return: An error if failed. On success return incoming data to forward back to the UI.
+        """
+
+        def vld(attr):
+            # Verify and validate input data.
+            if attr in data and data[attr] != '':
+                try:
+                    return float(data[attr])
+                except ValueError:
+                    return data[attr]
+            else:
+                return None
+        # Forward the request to trades.
+        status, result = self.trades.new_trade(target=vld('target'), symbol=vld('symbol'), price=vld('price'),
+                                               side=vld('side'), order_type=vld('orderType'),
+                                               qty=vld('quantity'))
+        # Log any error to the terminal.
+        if status == 'Error':
+            print(f'\napp.py:trade() - Error placing the trade: {result}')
+        # Log order to terminal.
+        print(f"\napp.py:trade() - Trade order received: target={vld('target')}, symbol={vld('symbol')},"
+              f" side={vld('side')}, type={vld('orderType')}, quantity={vld('quantity')},price={vld('price')}")
+
+        # Update config's list of trades and save to file.
+        self.config.update_data('trades', self.trades.get_trades('dict'))
+        # Send the data back to where it came from.
+        return data
+
+        # todo: This is how I handled this when I was using the flask interface to catch an html form submission.
+        # # Set the default symbol to the trading pair the UI is currently focused on.
+        # if symbol is None:
+        #     symbol = self.config.trading_pair
+        # self.trades.new_trade(target=target, symbol=symbol, side=side, order_type=order_type,
+        #                       qty=quantity, price=price, offset=None)
+        # # Update config's list of trades and save to file.
+        # self.config.update_data('trades', self.trades.get_trades('dict'))
+
+    def get_trades(self):
+        """ Return a JSON object of all the trades in the trades instance."""
+        return self.trades.get_trades('json')

exchange.py

@@ -0,0 +1,93 @@
+import json
+from binance.client import Client
+from binance.exceptions import BinanceAPIException
+
+import config
+import requests
+from binance.enums import *
+
+
+class Exchange:
+    def __init__(self):
+        # Initialise a connection to the Binance client API
+        self.client = Client(config.API_KEY, config.API_SECRET)
+
+        # List of time intervals available for trading.
+        self.intervals = None
+
+        # all symbols available for trading.
+        self.symbols = None
+
+        # Any non-zero balance-info for all assets.
+        self.balances = None
+
+        # Request data from the exchange and set the above values.
+        self.get_exchange_data()
+
+        # Info on all futures symbols
+        self.futures_info = self.client.futures_exchange_info()
+
+        # Dictionary of places the exchange requires after the decimal for all symbols.
+        self.symbols_n_precision = {}
+        for item in self.futures_info['symbols']:
+            self.symbols_n_precision[item['symbol']] = item['quantityPrecision']
+
+    def get_exchange_data(self):
+        # Pull all balances from the exchange.
+        account = self.client.futures_coin_account_balance()
+        # Discard assets with zero balance.
+        self.balances = [asset for asset in account if float(asset['balance']) > 0]
+
+        # Pull all available symbols from client
+        exchange_info = self.client.futures_exchange_info()
+        self.symbols = exchange_info['symbols']
+
+        # Available intervals
+        self.intervals = (
+            KLINE_INTERVAL_1MINUTE, KLINE_INTERVAL_3MINUTE,
+            KLINE_INTERVAL_5MINUTE, KLINE_INTERVAL_15MINUTE,
+            KLINE_INTERVAL_30MINUTE, KLINE_INTERVAL_1HOUR,
+            KLINE_INTERVAL_2HOUR, KLINE_INTERVAL_4HOUR,
+            KLINE_INTERVAL_6HOUR, KLINE_INTERVAL_8HOUR,
+            KLINE_INTERVAL_12HOUR, KLINE_INTERVAL_1DAY,
+            KLINE_INTERVAL_3DAY, KLINE_INTERVAL_1WEEK,
+            KLINE_INTERVAL_1MONTH
+        )
+
+    def get_precision(self, symbol):
+        return self.symbols_n_precision[symbol]
+
+    def get_min_qty(self, symbol):
+        """
+            *TODO: what does this represent?
+            :param symbol: The symbol of the trading pair.
+            :return: The minimum quantity sold per trade.
+        """
+        info = self.client.get_symbol_info(symbol=symbol)
+        for f_index, item in enumerate(info['filters']):
+            if item['filterType'] == 'LOT_SIZE':
+                break
+        return float(info['filters'][f_index]['minQty'])  # 'minQty'
+
+    def get_min_notional_qty(self, symbol):
+        """
+            * Not Working: Can't buy this amount??? TODO: what does this represent?
+            :param symbol: The symbol of the trading pair.
+            :return: The minimum quantity sold per trade.
+        """
+        info = self.client.get_symbol_info(symbol=symbol)
+        for f_index, item in enumerate(info['filters']):
+            if item['filterType'] == 'MIN_NOTIONAL':
+                break
+        return float(info['filters'][f_index]['minNotional'])  # 'minNotional'
+
+    @staticmethod
+    def get_price(symbol):
+        """
+            :param symbol: The symbol of the trading pair.
+            :return: The current ticker price.
+        """
+        # Todo: Make sure im getting the correct market price for futures.
+        request = requests.get(f'https://api.binance.com/api/v3/ticker/price?symbol={symbol}')
+        json_obj = json.loads(request.text)
+        return float(json_obj['price'])

exchange_info.py

@@ -1,33 +0,0 @@
-from binance.enums import *
-
-
-class ExchangeInfo:
-    def __init__(self, client):
-        self.client = client
-
-        self.intervals = None
-        self.symbols = None
-        self.balances = None
-        # Set the above values from information retrieved from exchange.
-        self.set_exchange_data()
-
-    def set_exchange_data(self):
-        # Pull all balances from client while discarding assets with zero balance
-        account = self.client.futures_coin_account_balance()
-        self.balances = [asset for asset in account if float(asset['balance']) > 0]
-
-        # Pull all available symbols from client
-        exchange_info = self.client.get_exchange_info()
-        self.symbols = exchange_info['symbols']
-
-        # Available intervals
-        self.intervals = (
-            KLINE_INTERVAL_1MINUTE, KLINE_INTERVAL_3MINUTE,
-            KLINE_INTERVAL_5MINUTE, KLINE_INTERVAL_15MINUTE,
-            KLINE_INTERVAL_30MINUTE, KLINE_INTERVAL_1HOUR,
-            KLINE_INTERVAL_2HOUR, KLINE_INTERVAL_4HOUR,
-            KLINE_INTERVAL_6HOUR, KLINE_INTERVAL_8HOUR,
-            KLINE_INTERVAL_12HOUR, KLINE_INTERVAL_1DAY,
-            KLINE_INTERVAL_3DAY, KLINE_INTERVAL_1WEEK,
-            KLINE_INTERVAL_1MONTH
-        )

indicators.py

@@ -398,25 +398,28 @@ class Indicators:
                 enabled_indicators.append(indctr)
         return enabled_indicators
 
-    def get_indicator_data(self, symbol=None, interval=None, num_results=800):
+    def get_indicator_data(self, symbol=None, interval=None, start_ts=None, num_results=800):
         # Loop through all the indicators. If enabled, run the appropriate
         # update function. Return all the results as a dictionary object.
         if symbol is not None:
-            print(symbol)
-            print('get_indicator_data() no symbol implementation')
+            if self.candles.config.trading_pair != symbol:
+                print(f'get_indicator_data: request candle data for {symbol}')
         if interval is not None:
-            print(interval)
-            print('get_indicator_data() no interval implementation')
+            if self.candles.config.chart_interval != interval:
+                print(f'get_indicator_data: request candle data for {interval}')
+        if start_ts is not None:
+            print(f'get_indicator_data: request candle data from: {start_ts}')
         # Get a list of indicator objects and a list of enabled indicators names.
         i_list = self.indicators
         enabled_i = self.get_enabled_indicators()
+        candles = self.candles
         result = {}
         # Loop through all indicator objects in i_list
         for each_i in i_list:
             # If the indicator's not enabled skip to next each_i
             if each_i not in enabled_i:
                 continue
-            result[each_i] = i_list[each_i].calculate(self.candles, num_results)
+            result[each_i] = i_list[each_i].calculate(candles, num_results)
         return result
 
     def delete_indicator(self, indicator):

requirements.txt

@@ -2,4 +2,5 @@ numpy~=1.22.3
 flask~=2.1.2
 config~=0.5.1
 PyYAML~=6.0
-binance
+binance~=0.3
+requests~=2.27.1

static/Strategies.js

@@ -1,35 +1,4 @@
-//TODO this func is unused left over for reference.
-//conditions_satisfied(signals){
-//        let result = true;
-//        for(let cond of this.conditions){
-//            if (cond.trig_val == 'true'){
-//                if (signals[cond.on] == true){
-//                    result = result && true;
-//                }else{
-//                    result = false;
-//                }
-//            }
-//            else if (cond.trig_val == 'false'){
-//                if (signals[cond.on] == false){
-//                    result = result && true;
-//                }else{
-//                    result = false;
-//                }
-//            }
-//            else if (cond.trig_val == 'changed'){
-//                // If no last result exists for this trigger, create one.
-//                if ( !this.last_results[cond.on] ){
-//                    this.last_results[cond.on] = signals[cond.on];
-//                }
-//                if (signals[cond.on] != this.last_results[cond.on]){
-//                    result = result && true;
-//                }else{
-//                    result = false;
-//                }
-//            }
-//        }
-//        return result;
-//}
+
 class Strategies {
     constructor(target_id) {
         // The list of strategies.
@@ -47,10 +16,10 @@ class Strategies {
     submit(){
         /*
             - Collect the data from the form fields and
-              create an object representing the strategy.
-            - Record the strategy in the an instance list.
+              create a json object representing a strategy.
+            - Append the strategy to a local list of strategies.
             - Update the display output.
-            - Send the strategy object to the server.
+            - Send the strategy info to the server.
         */
         let strat = {};
         strat.name = document.getElementById('stg_name').value;
@@ -58,27 +27,41 @@ class Strategies {
             alert('Please provide a name.');
             return;
         }
+        // The type of strategy will determine underlying feature of its execution.
         strat.type = document.getElementById('strat_type').value;
+        // Whether the strategy is bullish or bearish.
         strat.side = document.getElementById('trade_in_side').value;
-        strat.margin = document.getElementById('margin_select').value;
+        // Position size for each trade the strategy executes.
         strat.trade_amount = document.getElementById('trade_amount').value;
+        // The maximum combined position allowed.
         strat.max_position = document.getElementById('strgy_total').value;
+        // The fee the exchange charges per trade.
         strat.trading_fee = document.getElementById('fee').value;
+        // The maximum allowable loss the strategy can endure in combined trades.
+        // Before trading out and terminating execution.
         strat.max_loss = document.getElementById('max_loss').value;
+        // The trading pair being exchanged.
         strat.symbol = window.UI.data.trading_pair;
-        strat.net_profit = 0;
-        strat.gross_profit = 0;
-        strat.net_loss = 0;
-        strat.gross_loss = 0;
-        strat.current_position = 0;
+        // The combined profit or loss including trading fees.
+        strat.net_pl = 0;
+        // The combined profit or loss.
+        strat.gross_pl = 0;
+        // The quantity of the traded assets being held.
+        strat.combined_position = 0;
+        // Opening value of the asset.
+        strat.opening_value = 0;
+        // The current value of the asset.
         strat.current_value = 0;
+        // Whether or not the strategy has begun trading.
         strat.active = false;
+        // The conditions that must be met before trading in.
         strat.trd_in_conds = {};
         let conds = Array.from(document.querySelectorAll('#trade_in_cond>li'));
         for (let cond of conds){
             let json_obj = JSON.parse(cond.innerHTML);
             strat.trd_in_conds[json_obj.Trigger] = json_obj.Value;
         }
+        // The conditions that must be met before taking profit.
         let take_profit = {};
         take_profit.typ = document.getElementById('prof_typ').value;
         if (take_profit.typ == 'conditional'){
@@ -88,6 +71,8 @@ class Strategies {
             take_profit.val = document.getElementById('prof_val').value;
         }
         strat.take_profit = take_profit;
+
+        // The conditions that must be met before taking a loss.
         let stop_loss = {};
         stop_loss.typ = document.getElementById('loss_typ').value;
         if ( stop_loss.typ == 'conditional' ){
@@ -97,12 +82,17 @@ class Strategies {
             stop_loss.val = document.getElementById('loss_val').value;
         }
         strat.stop_loss = stop_loss;
+
         // Add the strategy to the instance list.
         this.strategies.push(strat);
+
         // Add the strategy to display.
         this.update_html();
+
         // Send the new strategy to the server.
         window.UI.data.comms.send_to_app( "new_strategy", strat);
+
+        // Close the html form.
         this.close_form();
     }
     update_received(stg_updts){
@@ -124,7 +114,7 @@ class Strategies {
     }
     open_stg_form(){
         this.open_form();
-        this.fill_field('strat_opt', 'take_profit');
+        this.fill_field('strat_opt', 'in-out');
     }
     clear_innerHTML(el){
         el.innerHTML="";
@@ -190,7 +180,7 @@ class Strategies {
         if (field == 'strat_opt'){
             let options = document.getElementById('strat_opt');
 
-            if (value == 'take_profit'){
+            if (value == 'in-out'){
                 // Clear previous content.
                 this.clear_innerHTML(options);
 

static/backtesting.js

@@ -0,0 +1,6 @@
+
+class Backtesting {
+  constructor() {
+    this.height = height;
+  }
+}

static/brighterStyles.css

@@ -149,10 +149,10 @@ input[type="checkbox"] {
 
 #chart_controls{
     border-style:none;
-    width: 200px;
+    width: 775px;
     padding: 15px;
     display: grid;
-    grid-template-columns:700px 1fr 1fr;
+    grid-template-columns:350px 2fr 1fr 1fr;
 
 }
 #indicators{
@@ -186,7 +186,6 @@ input[type="checkbox"] {
 }
 /***************************************************/
 
-
 /****************Right Panel***********************/
 .collapsible {
   background-color: #3E3AF2;
@@ -272,9 +271,24 @@ position: absolute;
 .new_btn{
 margin:5;
 }
+/*******************Trade Panel***************************/
+#price{
+    height:20px;
+    display:none;
+}
+#current_price{
+    height:20px;
+    display:inline-block;
+}
+
+#price-label{
+    height:20px;
+}
+#quantity{
+    height:20px;
+}
+
 /***************************************************/
-
-
 /************Edit/Add Indicators Panel**************/
 #edit_indcr_panel{
     width: 1000px;

static/communication.js

@@ -1,27 +1,54 @@
 class Comms {
-    constructor(ocu, occ, oiu) {
-        // Register callbacks
-        this.on_candle_update = ocu;
-        this.on_candle_close = occ;
-        this.on_indctr_update = oiu;
+    constructor() {
+        // List of callbacks callback function that will receive various updates.
+        this.on_candle_update = [];
+        this.on_candle_close = [];
+        this.on_indctr_update = [];
+        // Status of connection.
         this.connection_open = false;
     }
-
+    register_callback(target, callback_func){
+        // Register any outside functions that need to receive updates.
+        if (target=='candle_update'){
+            this.on_candle_update.push(callback_func)
+        }
+        else if (target=='candle_close'){
+            this.on_candle_close.push(callback_func)
+        }
+        else if (target=='indicator_update'){
+            this.on_indctr_update.push(callback_func)
+        }
+        else{console.log('Comms: Invalid target for callback');}
+    }
     candle_update(new_candle){
-        // Call the callback provided.
-        this.on_candle_update(new_candle);
+        // If no callback is registered do nothing.
+        if (this.on_candle_update == null) {return};
+        // Call each registered callback passing the candle updates.
+        for (i = 0; i < this.on_candle_update.length; i++) {
+            this.on_candle_update[i](new_candle);
+        }
     }
 
     candle_close(new_candle){
+
         // Forward a copy of the new candle to the server.
         this.app_con.send( JSON.stringify({ message_type: "candle_data", data :new_candle }));
-        // Call the callback provided.
-        this.on_candle_close(new_candle);
+
+        // If no callback is registered do return.
+        if (this.on_candle_close == null) {return};
+        // Call each registered callback passing the candle updates.
+        for (i = 0; i < this.on_candle_close.length; i++) {
+            this.on_candle_close[i](new_candle);
+        }
     }
 
     indicator_update(data){
-        // Call the callback provided.
-        this.on_indctr_update(data);
+        // If no callback is registered do return.
+        if (this.on_indctr_update == null) {return};
+        // Call each registered callback passing the candle updates.
+        for (i = 0; i < this.on_indctr_update.length; i++) {
+            this.on_indctr_update[i](data);
+        }
     }
 
     getPriceHistory(){
@@ -113,8 +140,9 @@ class Comms {
         })
     }
 
-    set_exchange_con(interval){
-        let ws = "wss://stream.binance.com:9443/ws/btcusdt@kline_" + interval;
+    set_exchange_con(interval, tradingPair){
+        tradingPair = tradingPair.toLowerCase();
+        let ws = "wss://stream.binance.com:9443/ws/" + tradingPair + "@kline_" + interval;
         this.exchange_con = new WebSocket(ws);
 
         // Set the on-message call-back for the socket

static/controls.js

@@ -26,5 +26,20 @@ class Controls {
         el.style.top = y + "px";
         el.style.display = "block";
     }
+    init_TP_selector(){
+        var demoInput = document.getElementById('symbol');
+        demoInput.value = window.UI.data.trading_pair; // set default value instead of html attribute
+        demoInput.onfocus = function() { demoInput.value =''; }; // on focus - clear input
+        demoInput.onblur = function() { demoInput.value = window.UI.data.trading_pair; }; // on leave restore it.
+        demoInput.onchange = function() {
+            var options = document.getElementById('symbols').getElementsByTagName('option');
+            this.value = this.value.toUpperCase();
+            for (let i=0; i < options.length; i += 1) {
+                if (options[i].value == this.value){
+                    document.getElementById('tp_selector').submit();
+                }
+            }
+        };
+    }
 
 }

static/data.js

@@ -14,18 +14,24 @@ class Data {
         // All the indicators available.
         this.indicators = bt_data.indicators;
 
-        /* Comms handles communication with the servers. Pass it
-           a list of callbacks to handle various incoming messages.*/
-        this.comms = new Comms(this.candle_update, this.candle_close, this.indicator_update);
+        /* Comms handles communication with the servers. Register
+           callbacks to handle various incoming messages.*/
+        this.comms = new Comms();
+        this.comms.register_callback('candle_update', this.candle_update)
+        this.comms.register_callback('candle_close', this.candle_close)
+        this.comms.register_callback('indicator_update', this.indicator_update)
         // Open the connection to our local server.
         this.comms.set_app_con();
         /* Open connection for streaming candle data wth the exchange.
            Pass it the time period of candles to stream. */
-        this.comms.set_exchange_con(this.interval);
+        this.comms.set_exchange_con(this.interval, this.trading_pair);
 
         //Request historical price data from the server.
         this.price_history = this.comms.getPriceHistory();
 
+        //last price from price history.
+        this.price_history.then((value) => {  this.last_price = value[value.length-1].close;   });
+
         // Request from the server initialization data for the indicators.
         this.indicator_data = this.comms.getIndicatorData();
 
@@ -37,7 +43,7 @@ class Data {
         // This is called everytime a candle update comes from the local server.
 	    window.UI.charts.update_main_chart(new_candle);
         //console.log('Candle update:');
-        //console.log(new_candle);
+        this.last_price = new_candle.close;
     }
     set_i_updates(call_back){
         this.i_updates = call_back;

static/general.js

@@ -1,15 +1,3 @@
-//
-//class Backtesting {
-//  constructor() {
-//    this.height = height;
-//  }
-//}
-//
-//class Trade {
-//  constructor() {
-//    this.height = height;
-//  }
-//}
 //class Exchange_Info {
 //  constructor() {
 //    this.height = height;
@@ -21,14 +9,6 @@
 //    this.height = height;
 //  }
 //}
-//
-//class Statistics {
-//  constructor() {
-//    this.height = height;
-//  }
-//}
-//
-
 
 class User_Interface{
 /*  This contains all the code for our User interface.
@@ -52,11 +32,17 @@ class User_Interface{
         this.alerts = new Alerts("alert_list");
 
         /* The object that handles alerts. Pass in the html
-            element that will hold the list of alerts*/
+            element that will hold the strategies interface.*/
         this.strats = new Strategies("strats_display");
 
-        /* These classes interact with HTML elements that need to be parsed first.
-            TODO: Can any of these objects be created then run init functions after loading?*/
+        /* The object that handles trades. Pass in the html
+            element that will hold the trade interface.*/
+        this.trade = new Trade();
+
+        /* This javascript class is loaded at the top of the main html document.
+            These classes interact with HTML elements that get parsed later in the main html document.
+            They are wrapped inside a function that executes after the entire document is loaded.
+            TODO: Decouple these object from these elements. Initialize after first call?.*/
         window.addEventListener('load', function () {
             /* Charts object is responsible for maintaining the
                data visualisation area in the UI.  */
@@ -87,6 +73,9 @@ class User_Interface{
             window.UI.alerts.set_target();
             // initialize the strategies instance.
             window.UI.strats.initialize();
+            // initialize the controls instance.
+            window.UI.controls.init_TP_selector();
+            window.UI.trade.initialize();
         });
 
     }

static/signals.js

@@ -3,30 +3,36 @@ class Signals {
         this.indicators = indicators;
         this.signals=[];
     }
-    // Call to display Create new signal dialog.
+    // Call to display the 'Create new signal' dialog.
     open_signal_Form() { document.getElementById("new_sig_form").style.display = "grid"; }
-    // Call to hide Create new signal dialog.
+    // Call to hide the 'Create new signal' dialog.
     close_signal_Form() { document.getElementById("new_sig_form").style.display = "none"; }
 
     request_signals(){
+        // Requests a list of all the signals from the server.
         window.UI.data.comms.send_to_app('request', 'signals');
     }
     delete_signal(signal_name){
+        // Requests that the server remove a specific signal.
         window.UI.data.comms.send_to_app('delete_signal', signal_name);
-        // Get the child element node
+        // Get the signal element from the UI
         let child = document.getElementById(signal_name + '_item');
-        // Remove the child element from the document
+        // Ask the parent of the signal element to remove its child(signal) from the document.
         child.parentNode.removeChild(child);
     }
     i_update(updates){
-        // Update the values listed in the signals section.
+        // Set local records of incoming signal updates and update the html that displays that info.
         for (let signal in this.signals){
+            // Get the new value of the property from the 1st source in this signal from the update.
             let value1 = updates[this.signals[signal].source1].data[0][this.signals[signal].prop1];
+            // Update the local record of value1
             this.signals[signal].value1 = value1.toFixed(2);
             if (this.signals[signal].source2 != 'value'){
+                // Do the same for the second source if the source isn't a set value.
                 let value2 = updates[this.signals[signal].source2].data[0][this.signals[signal].prop2];
                 this.signals[signal].value2 = value2.toFixed(2);
             }
+            // Update the html element that displays this information.
             document.getElementById(this.signals[signal].name + '_value1').innerHTML = this.signals[signal].value1;
             document.getElementById(this.signals[signal].name + '_value2').innerHTML = this.signals[signal].value2;
         }
@@ -254,5 +260,6 @@ class Signals {
            than passing functions, references and callbacks around. */
 
        	window.UI.data.comms.send_to_app( "new_signal", data);
+       	this.close_signal_Form();
     }
 }

static/statistics.js

@@ -0,0 +1,5 @@
+class Statistics {
+  constructor() {
+    this.height = height;
+  }
+}

static/trade.js

@@ -0,0 +1,58 @@
+class Trade {
+    constructor() {
+        this.name = 'trade';
+    }
+    initialize(){
+        const price_input = document.getElementById('price');
+        const cp = document.getElementById('current_price');
+        window.UI.data.price_history.then((value) => {  price_input.value = value[value.length-1].close;cp.value = price_input.value   });
+        const qty_input = document.getElementById('quantity');
+        const tv_input = document.getElementById('trade_value');
+        tv_input.value = 0;
+        const orderType = document.getElementById('orderType');
+        orderType.addEventListener('change', function(){
+            if(this.value == 'MARKET'){
+                cp.style.display = "inline-block";
+                price_input.style.display = "none";
+                tv_input.value = qty_input.value * cp.value;
+            } else if(this.value == 'LIMIT') {
+                cp.style.display = "none";
+                price_input.style.display = "inline-block";
+                tv_input.value = qty_input.value * price_input.value;
+            }
+
+        });
+        price_input.addEventListener('change', function(){
+            if (orderType.value!='MARKET'){
+                tv_input.value = qty_input.value * price_input.value;
+            }else{
+                tv_input.value = qty_input.value * cp.value;
+            }
+            });
+        qty_input.addEventListener('change', function(){
+            if (orderType.value!='MARKET'){
+                tv_input.value = qty_input.value * price_input.value;
+            }else{
+                tv_input.value = qty_input.value * cp.value;
+            }
+            });
+
+    }
+    // Call to display the 'Create new trade' dialog.
+    open_tradeForm() { document.getElementById("new_trade_form").style.display = "grid"; }
+    // Call to hide the 'Create new signal' dialog.
+    close_tradeForm() { document.getElementById("new_trade_form").style.display = "none"; }
+
+    submitNewTrade(){
+        // Collect all the input fields.
+        var target = document.getElementById('trade_target').value;    // The target to trade ['exchange'|'backtester'].
+        var symbol = window.UI.data.trading_pair;                      // The symbol to trade at.
+        var price = document.getElementById('price').value;            // The price to trade at.
+        var side = document.getElementById('side').value;              // The side to trade at.
+        var orderType = document.getElementById('orderType').value;    // The orderType for the trade.
+        var quantity = document.getElementById('quantity').value;      // The base quantity to trade.
+        var data = {target, symbol, price, side, orderType, quantity};
+       	window.UI.data.comms.send_to_app( "new_trade", data);
+       	this.close_tradeForm();
+    }
+}

templates/index.html

@@ -19,12 +19,61 @@
         <script src="{{ url_for('static', filename='communication.js') }}"></script>
         <script src="{{ url_for('static', filename='controls.js') }}"></script>
         <script src="{{ url_for('static', filename='signals.js') }}"></script>
+        <script src="{{ url_for('static', filename='trade.js') }}"></script>
         <script  src="{{ url_for('static', filename='general.js') }}"></script>
    </head>
 
     <body>
         <!-- Pop up forms for interface -->
 
+        <div class="form-popup" id="new_trade_form">
+          <form action="/new_trade" class="form-container">
+            <!-- Panel 1  of  1  (8 rows, 4 columns)  -->
+            <div id="trade_pan_1" class="form_panels" style="display: grid;grid-template-columns:repeat(4,1fr);grid-template-rows: repeat(8,1fr);">
+                    <!-- Panel title  (row 1/8)-->
+                    <h1 style="grid-column: 1 / span 2; grid-row: 1;">Create New Trade</h1>
+                    <!-- Target input field  (row 2/8)-->
+                    <div id = "trade_target_div" style="grid-column: 1 / span 2; grid-row:2;">
+                        <label for='trade_target' >Trade target:</label>
+                        <select name="trade_target" id="trade_target" style="grid-column: 2; grid-row: 2;" >
+                            <option>backtester</option>
+                            <option>exchange</option>
+                        </select>
+                    </div>
+                    <!-- Side Input field  (row 3/8)-->
+                    <label for="side" style="grid-column: 1; grid-row: 3;"><b>Side:</b></label>
+                    <select name="side" id="side" style="grid-column: 2; grid-row: 3;" >
+                        <option>buy</option>
+                        <option>sell</option>
+                    </select>
+                    <!-- orderType Input field  (row 4/8)-->
+                    <label for="orderType" style="grid-column: 1; grid-row: 4;"><b>Order type:</b></label>
+                    <select name="orderType" id="orderType" style="grid-column: 2; grid-row: 4;" >
+                        <option>MARKET</option>
+                        <option>LIMIT</option>
+                    </select>
+                    <!-- Price Input field  (row 5/8)-->
+                    <label id="price-label" for="price" style="grid-column: 1; grid-row: 5;"><b>Price:</b></label>
+                    <input type="number" min="0" value="0.1" step="0.1" name="price" id="price" style="grid-column: 2; grid-row: 5;" >
+                    <output name="current_price" id="current_price" style="grid-column: 2; grid-row: 5;" >
+                    </output>
+                    <!-- quantity Input field  (row 6/8)-->
+                    <label for="quantity" style="grid-column: 1; grid-row: 6;"><b>Quantity:</b></label>
+                    <input type="number" min="0" value="0" step="0.01" name="quantity" id="quantity" style="grid-column: 2; grid-row: 6;" >
+                    </input>
+                    <!-- Value field  (row 7/8)-->
+                    <label for="trade_value" style="grid-column: 1; grid-row: 7;"><b>Value</b></label>
+                    <output name="trade_value" id="trade_value" for="quantity price" style="grid-column: 2; grid-row: 7;"></output>
+                    <!-- buttons  (row 8/8)-->
+                    <div style="grid-column: 1 / span 4; grid-row: 8;">
+                        <button type="button" class="btn cancel" onclick="UI.trade.close_tradeForm()">Close</button>
+                        <button type="button" class="btn next" onclick="UI.trade.submitNewTrade()">Create Trade</button>
+                    </div>
+
+            </div><!----End panel 1--------->
+          </form>
+        </div>
+
         <div class="form-popup" id="new_strat_form">
           <form action="/new_strategy" class="form-container">
             <!-- Panel 1  of  1  (5 rows, 2 columns)  -->
@@ -39,7 +88,7 @@
                     <!-- Source Input field  (row 3/5)-->
                     <label for="strat_type" style="grid-column: 1; grid-row: 3;"><b>Strategy type</b></label>
                     <select name="strat_type" id="strat_type" style="grid-column: 2; grid-row: 3;" onchange= "UI.strats.fill_field('strat_opt', this.value)">
-                        <option>take_profit</option>
+                        <option>in-out</option>
                         <option>incremental_profits</option>
                         <option>swing</option>
                     </select>
@@ -111,7 +160,7 @@
                         <input type="radio" id="lt" name="Operator" value="<">
                         <label for = "lt">lessthan</label><br>
 
-                        <input type = "radio" id="eq" name="Operator" value="=" checked="checked">
+                        <input type = "radio" id="eq" name="Operator" value="==" checked="checked">
                         <label for = "eq">Equals</label>
 
                          <input type="radio" id="within" name="Operator" value="+/-">
@@ -199,6 +248,17 @@
                     <div id="chart_controls">
                         <!-- Container target for any indicator output -->
                         <div id="indicator_output" ></div>
+                        <!-- Trading pair selector -->
+                        <form id="tp_selector" action="/settings" method="post">
+                            <input type="hidden" name="setting" value="trading_pair" />
+                            <label for="symbols" >Trading Pair</label>
+                            <input list="symbols" name="symbol" id="symbol" style="width: 96px;">
+                            <datalist id="symbols">
+                                {% for symbol in symbols %}
+                                <option>{{ symbol['symbol'] }}</option>
+                                {% endfor %}
+                            </datalist>
+                        </form>
                         <!-- Time interval selector -->
                         <form action="/settings" method="post">
                             <input type="hidden" name="setting" value="interval" />
@@ -288,16 +348,7 @@
                 <button class="collapsible bg_blue">Trade</button>
                 <div class="content">
                     <div id="trade_content" class="cp_content">
-                        <form action="/trade" method="post">
-                            <input type="text" id="quantity" name="quantity" placeholder="eg. 0.001" />
-                            <select id="symbol" name="symbol">
-                                {% for symbol in symbols %}
-                                <option>{{ symbol['symbol'] }}</option>
-                                {% endfor %}
-                            </select>
-                            <input type="submit" name="buy" value="buy" />
-                            <input type="submit" name="sell" value="sell" />
-                        </form>
+                        <button class="new_btn" id="new_trade" onclick="UI.trade.open_tradeForm()">New Trade</button>
                     </div>
                 </div>
 

test_trade.py

@@ -0,0 +1,163 @@
+from trade import Trade
+
+
+def test_get_position_size():
+    opening_price = 1000
+    quantity = 0.01
+    trade_obj = Trade(symbol='BTCUSD', side='BUY', price=opening_price, qty=quantity, order_type='MARKET', tif='GTC',
+                      unique_id=None, status=None, stats=None, order=None)
+    # Position size after construction.
+    position_size = trade_obj.get_position_size()
+    print('\nPosition size after construction.')
+    print(f'Trade for {quantity} BTC @ {opening_price} of the quote currency. Price has not changed.')
+    print(f'Position size: {position_size}')
+    assert position_size == opening_price * quantity
+
+    # Position size after current price changes on unopened trade.
+    print('\nPosition size after current price changes on unopened trade.')
+    current_price = 50
+    result = trade_obj.update(current_price)
+    print(f'the result of the update {result}')
+    position_size = trade_obj.get_position_size()
+    print(f'{quantity} BTC bought at {opening_price} is current priced at {current_price}')
+    print(f'Position size: {position_size}')
+    assert position_size == opening_price * quantity
+
+    print('\nPosition size after trade fills at opening price.')
+    # Position size after trade fills
+    trade_obj.trade_filled(quantity, opening_price)
+    position_size = trade_obj.get_position_size()
+    print(f'{quantity} BTC bought at {opening_price} is current priced at {current_price}')
+    print(f'Position size: {position_size}')
+    assert position_size == opening_price * quantity
+
+    print('\nPosition size after current price changes on live trade.')
+    # Position size after current price changes on open trade
+    current_price = 50
+    result = trade_obj.update(current_price)
+    print(f'the result of the update {result}')
+    position_size = trade_obj.get_position_size()
+    print(f'{quantity} BTC bought at {opening_price} is current priced at {current_price}')
+    print(f'Position size: {position_size}')
+    assert position_size == current_price * quantity
+
+
+def test_update_values():
+    # Create a test trade.
+    opening_price = 100
+    quantity = 0.1
+    trade_obj = Trade(symbol='BTCUSD', side='BUY', price=opening_price, qty=quantity, order_type='MARKET', tif='GTC',
+                      unique_id=None, status=None, stats=None, order=None)
+    trade_obj.trade_filled(quantity, opening_price)
+
+    print(f'\nopening price is {opening_price}')
+    # Output the pl for unchanged trade.
+    print('\n Live trade price has not changed.')
+
+    position_size = trade_obj.get_position_size()
+    print(f'Position size: {position_size}')
+    assert position_size == 10
+    pl = trade_obj.get_pl()
+    print(f'PL reported: {pl}')
+    assert pl == 0
+    pl_pct = trade_obj.get_pl_pct()
+    print(f'PL% reported: {pl_pct}')
+    assert pl_pct == 0
+
+    # Divide the price of the quote asset by 2.
+    current_price = 50
+    trade_obj.update_values(current_price)
+    # Output PL for adjusted trade.
+    print(f'\n Live trade price has changed to {current_price}.')
+    position_size = trade_obj.get_position_size()
+    print(f'Position size: {position_size}')
+    assert position_size == 5
+    pl = trade_obj.get_pl()
+    print(f'PL reported: {pl}')
+    # Should be: - 1/2 * opening value - opening value * fee - closing value * fee
+    # 5 - 1 - 0.5 = -6.5
+    assert pl == -6.5
+    pl_pct = trade_obj.get_pl_pct()
+    print(f'PL% reported: {pl_pct}')
+    # Should be -6.5/10 = -65%
+    assert pl_pct == -65
+
+    # Add 1/2 to the price of the quote asset.
+    current_price = 150
+    trade_obj.update_values(current_price)
+    # Output PL for adjusted trade.
+    print(f'\n Live trade price has changed to {current_price}.')
+    position_size = trade_obj.get_position_size()
+    print(f'Position size: {position_size}')
+    assert position_size == 15
+    pl = trade_obj.get_pl()
+    print(f'PL reported: {pl}')
+    # Should be 5 - opening fee - closing fee
+    # fee should be (10 * .1) + (15 * .1) = 2.5
+    assert pl == 2.5
+    pl_pct = trade_obj.get_pl_pct()
+    print(f'PL% reported: {pl_pct}')
+    # should be 2.5/10 = 25%
+    assert pl_pct == 25
+
+
+def test_update():
+    # Create test trade.
+    opening_price = 1000
+    quantity = 0.01
+    trade_obj = Trade(symbol='BTCUSD', side='BUY', price=opening_price, qty=quantity, order_type='MARKET', tif='GTC',
+                      unique_id=None, status=None, stats=None, order=None)
+    print('\nUpdate price of un-placed trade.')
+    # Use Update to change the price of the inactive trade.
+    current_price = 50
+    result = trade_obj.update(current_price)
+    print(f'The result {result}')
+    assert result == 'trade_not_placed'
+
+    # Simulate a placed trade.
+    trade_obj.trade_filled(0.01, 1000)
+
+    print('\nUpdate price of live trade.')
+    # Use Update to change the price.
+    current_price = 50
+    result = trade_obj.update(current_price)
+    print(f'The result {result}')
+    assert result == 'trade_updated'
+
+    position_size = trade_obj.get_position_size()
+    print(f'\n{quantity} BTC bought at {opening_price} is current priced at {current_price}')
+    print(f'Position size: {position_size}')
+    assert position_size == current_price * quantity
+
+
+def test_trade_filled():
+    # Create a test trade.
+    opening_price = 100
+    quantity = 0.1
+    trade_obj = Trade(symbol='BTCUSD', side='BUY', price=opening_price, qty=quantity, order_type='MARKET', tif='GTC',
+                      unique_id=None, status=None, stats=None, order=None)
+
+    trade_obj.trade_filled(qty=0.05, price=100)
+    status = trade_obj.get_status()
+    print(f'\n Status after trade_filled() called: {status}')
+    assert status == 'part_filled'
+
+    trade_obj.trade_filled(qty=0.05, price=100)
+    status = trade_obj.get_status()
+    print(f'\n Status after trade_filled() called: {status}')
+    assert status == 'filled'
+
+
+def test_settle():
+    # Create a test trade.
+    opening_price = 100
+    quantity = 0.1
+    trade_obj = Trade(symbol='BTCUSD', side='BUY', price=opening_price, qty=quantity, order_type='MARKET', tif='GTC',
+                      unique_id=None, status=None, stats=None, order=None)
+    trade_obj.trade_filled(qty=quantity, price=opening_price)
+    print(f'\ninitial status: {trade_obj.get_status()}')
+    print('settle the trade at 120')
+    trade_obj.settle(qty=0.1, price=120)
+    status = trade_obj.get_status()
+    print(f'final status: {status}')
+    assert status == 'closed'

tests/test_trade.py

@@ -0,0 +1,241 @@
+from exchange import Exchange
+from trade import Trades
+
+
+def test_connect_exchange():
+    exchange = Exchange()
+    test_trades_obj = Trades()
+    test_trades_obj.connect_exchange(exchange)
+    print(f'\nConnected to exchange: {test_trades_obj.exchange_connected()}')
+    account_info = exchange.get_precision(symbol='ETHUSDT')
+    print(account_info)
+    assert test_trades_obj.exchange_connected()
+
+
+def test_get_trades_by_status():
+    # Connect to the exchange
+    exchange = Exchange()
+    test_trades_obj = Trades()
+    test_trades_obj.connect_exchange(exchange)
+    print(f'\nConnected to exchange: {test_trades_obj.exchange_connected()}')
+    assert test_trades_obj.exchange_connected()
+
+    # create a trade but not on the exchange
+    test_trades_obj.new_trade('backtestor', 'BTCUSDT', 'BUY', 'MARKET', 1.5, price=100, offset=None)
+    print('trade 0 created.')
+    print(test_trades_obj.active_trades[0].__dict__)
+    # If the status of the trade is inactive the trade is created but the order isn't placed.
+    assert test_trades_obj.active_trades[0].status is 'inactive'
+
+    # create a 2nd trade but not on the exchange
+    test_trades_obj.new_trade('backtestor', 'BTCUSDT', 'BUY', 'MARKET', 0.4, price=2100, offset=None)
+    print('trade 1 created.')
+    print(test_trades_obj.active_trades[1].__dict__)
+    # If the status of the trade is inactive the trade is created but the order isn't placed.
+    assert test_trades_obj.active_trades[1].status is 'inactive'
+
+    # create a 3rd trade but not on the exchange
+    test_trades_obj.new_trade('backtestor', 'BTCUSDT', 'BUY', 'MARKET', 0.4, price=2100, offset=None)
+    print('trade 2 created.')
+    print(test_trades_obj.active_trades[2].__dict__)
+    # If the status of the trade is inactive the trade is created but the order isn't placed.
+    assert test_trades_obj.active_trades[1].status is 'inactive'
+
+    # should be three trades in this list
+    print(f'Expecting 3 trades in list: Actual:{len(test_trades_obj.active_trades)}')
+    assert len(test_trades_obj.active_trades) is 3
+    print(test_trades_obj.active_trades[0].status)
+    print(test_trades_obj.active_trades[1].status)
+    print(test_trades_obj.active_trades[2].status)
+
+    # fill trade one
+    test_trades_obj.active_trades[1].trade_filled(0.4, 2100)
+    print(f'trade 1 filled. status:')
+    print(test_trades_obj.active_trades[1].status)
+
+    # Search for all inactive trades
+    result = test_trades_obj.get_trades_by_status('inactive')
+    print(f'search for all inactive trades. The result: {result}')
+    assert len(result) is 2
+
+    # Search for all filled trades
+    result = test_trades_obj.get_trades_by_status('filled')
+    print(f'search for all filled trades. The result: {result}')
+    assert len(result) is 1
+
+
+def test_get_trade_by_id():
+    # Connect to the exchange
+    exchange = Exchange()
+    test_trades_obj = Trades()
+    test_trades_obj.connect_exchange(exchange)
+    print(f'\nConnected to exchange: {test_trades_obj.exchange_connected()}')
+    assert test_trades_obj.exchange_connected()
+
+    # create a trade but not on the exchange
+    test_trades_obj.new_trade('backtestor', 'BTCUSDT', 'BUY', 'MARKET', 1.5, price=100, offset=None)
+    print('trade 0 created.')
+    print(test_trades_obj.active_trades[0].__dict__)
+    # If the status of the trade is inactive the trade is created but the order isn't placed.
+    assert test_trades_obj.active_trades[0].status is 'inactive'
+
+    # create a 2nd trade but not on the exchange
+    test_trades_obj.new_trade('backtestor', 'BTCUSDT', 'BUY', 'MARKET', 0.4, price=2100, offset=None)
+    print('trade 1 created.')
+    print(test_trades_obj.active_trades[1].__dict__)
+    # If the status of the trade is inactive the trade is created but the order isn't placed.
+    assert test_trades_obj.active_trades[1].status is 'inactive'
+
+    id = test_trades_obj.active_trades[0].unique_id
+    print(f'the id of trade 0 is{id}')
+    result = test_trades_obj.get_trade_by_id(id)
+    print(f'here is the result after searching for the id:{result}')
+    assert result.unique_id is id
+
+
+def test_load_trades():
+    assert False
+
+
+def test_place_order():
+    # Connect to the exchange
+    exchange = Exchange()
+    test_trades_obj = Trades()
+    test_trades_obj.connect_exchange(exchange)
+    print(f'\nConnected to exchange: {test_trades_obj.exchange_connected()}')
+
+    # Create a new treade on the exchange.
+    test_trades_obj.new_trade('exchange', 'BTCUSDT', 'BUY', 'MARKET', 0.1, price=100, offset=None)
+    print(test_trades_obj.active_trades[0].__dict__)
+
+    # If the status of the trade is unfilled the order is placed.
+    assert test_trades_obj.active_trades[0].status is 'unfilled'
+
+
+def test_update():
+    # Connect to the exchange
+    exchange = Exchange()
+    test_trades_obj = Trades()
+    test_trades_obj.connect_exchange(exchange)
+    print(f'\nConnected to exchange: {test_trades_obj.exchange_connected()}')
+
+    # Create a trade but not on the exchange
+    test_trades_obj.new_trade('backtestor', 'BTCUSDT', 'BUY', 'MARKET', 0.4, price=100, offset=None)
+    print(test_trades_obj.active_trades[0].__dict__)
+    # If the status of the trade is inactive the trade is created but the order isn't placed.
+    assert test_trades_obj.active_trades[0].status is 'inactive'
+
+    # create a 2nd trade but not on the exchange
+    test_trades_obj.new_trade('backtestor', 'BTCUSDT', 'BUY', 'MARKET', 0.2, price=100, offset=None)
+    print(test_trades_obj.active_trades[1].__dict__)
+    # If the status of the trade is inactive the trade is created but the order isn't placed.
+    assert test_trades_obj.active_trades[1].status is 'inactive'
+
+    test_trades_obj.active_trades[0].trade_filled(0.4, 100)
+    test_trades_obj.active_trades[1].trade_filled(0.2, 100)
+
+    test_trades_obj.update(200)
+    print(test_trades_obj.active_trades[0].__dict__)
+    print(test_trades_obj.active_trades[1].__dict__)
+
+
+def test_new_trade():
+    # Connect to the exchange
+    exchange = Exchange()
+    test_trades_obj = Trades()
+    test_trades_obj.connect_exchange(exchange)
+    print(f'\nConnected to exchange: {test_trades_obj.exchange_connected()}')
+
+    # create an trade but not on the exchange
+    test_trades_obj.new_trade('backtestor', 'BTCUSDT', 'BUY', 'MARKET', 0.1, price=100, offset=None)
+    print(test_trades_obj.active_trades[0].__dict__)
+    # If the status of the trade is inactive the trade is created but the order isn't placed.
+    assert test_trades_obj.active_trades[0].status is 'inactive'
+
+    # create a 2nd trade but not on the exchange
+    test_trades_obj.new_trade('backtestor', 'BTCUSDT', 'BUY', 'MARKET', 0.4, price=2100, offset=None)
+    print(test_trades_obj.active_trades[1].__dict__)
+    # If the status of the trade is inactive the trade is created but the order isn't placed.
+    assert test_trades_obj.active_trades[1].status is 'inactive'
+
+
+def test_close_trade():
+    # Connect to the exchange
+    exchange = Exchange()
+    test_trades_obj = Trades()
+    test_trades_obj.connect_exchange(exchange)
+    print(f'\nConnected to exchange: {test_trades_obj.exchange_connected()}')
+
+    # create a trade but not on the exchange
+    test_trades_obj.new_trade('backtestor', 'BTCUSDT', 'BUY', 'MARKET', 0.1, price=100, offset=None)
+    print(test_trades_obj.active_trades[0].__dict__)
+    # If the status of the trade is inactive the trade is created but the order isn't placed.
+    assert test_trades_obj.active_trades[0].status is 'inactive'
+
+    # create a 2nd trade but not on the exchange
+    test_trades_obj.new_trade('backtestor', 'BTCUSDT', 'BUY', 'MARKET', 0.4, price=2100, offset=None)
+    print(test_trades_obj.active_trades[1].__dict__)
+    # If the status of the trade is inactive the trade is created but the order isn't placed.
+    assert test_trades_obj.active_trades[1].status is 'inactive'
+
+    # should be two trades in this list
+    print(len(test_trades_obj.active_trades))
+    assert len(test_trades_obj.active_trades) > 1
+
+    trade_id = test_trades_obj.active_trades[0].unique_id
+    test_trades_obj.close_trade(trade_id)
+
+    # should be 1 trade in this list
+    print(len(test_trades_obj.active_trades))
+    assert len(test_trades_obj.active_trades) == 1
+
+
+def test_reduce_trade():
+    # Connect to the exchange
+    exchange = Exchange()
+    test_trades_obj = Trades()
+    test_trades_obj.connect_exchange(exchange)
+    print(f'\nConnected to exchange: {test_trades_obj.exchange_connected()}')
+    assert test_trades_obj.exchange_connected()
+
+    # create a trade but not on the exchange
+    test_trades_obj.new_trade('backtestor', 'BTCUSDT', 'BUY', 'MARKET', 1.5, price=100, offset=None)
+    print('trade 0 created.')
+    print(test_trades_obj.active_trades[0].__dict__)
+    # If the status of the trade is inactive the trade is created but the order isn't placed.
+    assert test_trades_obj.active_trades[0].status is 'inactive'
+
+    # create a 2nd trade but not on the exchange
+    test_trades_obj.new_trade('backtestor', 'BTCUSDT', 'BUY', 'MARKET', 0.4, price=2100, offset=None)
+    print('trade 1 created.')
+    print(test_trades_obj.active_trades[1].__dict__)
+    # If the status of the trade is inactive the trade is created but the order isn't placed.
+    assert test_trades_obj.active_trades[1].status is 'inactive'
+
+    # should be two trades in this list
+    print(f'Expecting 2 trades in list: Actual:{len(test_trades_obj.active_trades)}')
+    assert len(test_trades_obj.active_trades) > 1
+
+    # Grab inactive trade 0
+    trade_id = test_trades_obj.active_trades[0].unique_id
+    # reduce the trade by 0.5
+    remaining_qty = test_trades_obj.reduce_trade(trade_id, 0.5)
+    # The trade should be 1 (1.5 - 0.5)
+    print(f'The remaining quantity of the trade should be 1: Actual: {remaining_qty}')
+    assert remaining_qty == 1
+
+    print('trade 0:')
+    print(test_trades_obj.active_trades[0].__dict__)
+
+    test_trades_obj.active_trades[1].trade_filled(0.4, 2100)
+    # Grab filled trade 1
+    trade_id = test_trades_obj.active_trades[1].unique_id
+
+    # reduce the trade by 0.1
+    remaining_qty = float(test_trades_obj.reduce_trade(trade_id, 0.1))
+    # The trade should be 0.3 (0.4 - 0.1)
+    print(f'\nThe remaining quantity of trade 1 should be 0.3: Actual: {remaining_qty}')
+    assert remaining_qty == 0.3
+
+    print('trade 1:')
+    print(test_trades_obj.active_trades[1].__dict__)

trade.py

@@ -1,200 +1,694 @@
 import json
+import uuid
+
 import requests
 from datetime import datetime
 
 
 class Trade:
-    def __init__(self, symbol, side, order_type, position_size, price):
+    def __init__(self, dest, symbol, side, price, qty, order_type='MARKET', tif='GTC', unique_id=None, status=None,
+                 stats=None, order=None, fee=0.1):
+        """
+        This object contains the information,value and statistics for individual active_trades.
+        Flags and stats can be set in the constructor in order to load previous active_trades.
+        Creating a trade does not execute it on the exchange.
+
+        :param dest: <str> - ['exchange'|'backtester'] The destination for this trade.
+        :param symbol: <str> - The symbol of the trading pair.
+        :param side: <str> - BUY|SELL
+        :param price: <float> - Asking price for LIMIT orders.
+        :param qty: <float> - Base quantity to buy
+        :param order_type: <str> - LIMIT|MARKET
+        :param tif: <str> - ['GTC'|'IOC'|'FOK'] Time-in-force. Defaults to GTC. This flag is used externally.
+        :param unique_id <hex> - Identifier
+        :param status: <str> ['inactive'|'unfilled'|'filled'|'part-filled'|'closed'] - order status.
+        :param stats: <dic> ['opening_price']:float | ['current_price']:float | ['opening_value']:float |
+                            ['current_value']:float | ['profit'] | ['profit_pct']:float
+                            - Price and P/L values and percentages for the trade.
+        :param fee: <float> - the fee rate charged when trading in or out.
+        """
+
+        # Set the ID or generate one if not provided.
+        # Trade ID should be the same as order id.
+        if unique_id is None:
+            self.unique_id = uuid.uuid4().hex
+        else:
+            self.unique_id = unique_id
+
+        # Store the destination for the trade. ['exchange'|'backtester']
+        self.dest = dest
+
+        # Set the symbol of the pair being traded.
+        self.symbol = symbol
+
+        # Set the side - buy or sell
+        self.side = side
+
+        # Set the order_type. Defaults to 'MARKET'. This flag is used externally when placing the order.
+        # LIMIT: Places an order at a set asking price.
+        # MARKET: Accept an offer off the table.
+        # TRAILING: Follow the price with LIMIT orders a set value
+        # from the price until it fills.
+        self.order_type = order_type
+
+        # Set Time-in-force. Defaults to GTC. This flag is used externally.
+        # GTC (Good-Till-Cancel) - leave it on the orderbook.
+        # IOC (Immediate-Or-Cancel) - if it can't at least partially fill immediately cancel the order.
+        # FOK (Fill-Or-Kill) - If it can't fully fill immediately cancel the order.
+        self.time_in_force = tif
+
+        # Set the quantity to be traded.
+        self.base_order_qty = qty
+
+        # Set the fee rate the exchange is charging.
+        self.fee = fee
+
+        # If status is None this is a new trade. Set the default
+        # values.
+        if status is None:
+            # Trade status flag. ['inactive'|'unfilled'|'filled'|'part_filled'|'closed']
+            self.status = 'inactive'
+
+            # Trade statistics.
+            self.stats = {
+                'opening_price': price,
+                'opening_value': (qty * price),
+                'current_price': price,
+                'current_value': (qty * price),
+                'settled_price': 0,
+                'settled_value': 0,
+                'qty_filled': 0,
+                'qty_settled': 0,
+                'profit': 0,
+                'profit_pct': 0,
+                'fee_paid': 0
+            }
+        else:
+            # Loading an existing trade. Set the values.
+            self.status = status
+            self.stats = stats
+            self.order = order
+
+    def get_position_size(self):
+        """
+        Position_size is the value of the trade in the quote currency.
+        eg .1 BTC @ $10,000 BTCUSD is equal to $1,000 USD.
+        """
+        return self.stats['current_value']
+
+    def get_pl(self):
+        """
+        Return: <float> - a positive profit or a negative loss.
+        """
+        return self.stats['profit']
+
+    def get_pl_pct(self):
+        """
+        Return: <float> - a percentage - positive profit or a negative loss.
+        """
+        return self.stats['profit_pct']
+
+    def get_status(self):
+        """
+        Return: <str> - Returns the status of the trade.
+        """
+        return self.status
+
+    # def place_order(self):
+    #     """
+    #     :return: on success: order, on fail: <str>'failed'
+    #     """
+    #
+    #     try:
+    #         print('Trade:place_order(): Attempting to place order')
+    #         print(f"symbol={self.symbol}, side={self.side}, type={self.order_type}, timeInForce='GTC',",
+    #               f" quantity={self.position_size}, price={self.stats['opening_price']}")
+    #
+    #         # Market orders immediately fill with best price available in the orderbook.
+    #         if self.order_type == 'MARKET':
+    #             order = self.exchange.client.create_test_order(symbol=self.symbol,
+    #                                                            side=self.side,
+    #                                                            type=self.order_type,
+    #                                                            quoteOrderQty=self.quoteOrderQty,
+    #                                                            newClientOrderId=self.unique_id)
+    #         # Limit orders are posted in the orderbook.
+    #         # The order's behavior is modified by setting time_in_force.
+    #         # GTC (Good-Till-Cancel), IOC (Immediate-Or-Cancel), FOK (Fill-Or-Kill)
+    #         elif self.order_type == 'LIMIT':
+    #             order = self.exchange.client.create_test_order(symbol=self.symbol,
+    #                                                            side=self.side,
+    #                                                            type=self.order_type,
+    #                                                            timeInForce=self.time_in_force,
+    #                                                            quantity=self.position_size,
+    #                                                            price=self.stats['opening_price'],
+    #                                                            newClientOrderId=self.unique_id)
+    #         # This is here incase I want to make a custom order type.
+    #         else:
+    #             print(f'Trade: No Implementation for trade.order: {self.order_type}')
+    #             return None
+    #         # If we get here an exception was not thrown by the exchange.
+    #         print('Trade:place_order(): Order successfully created.')
+    #         self.flags['order_placed'] = True
+    #         return order
+    #     # Report error if order fails
+    #     except Exception as e:
+    #         print(e, "error")
+    #         return 'failed'
+
+    def update_values(self, current_price):
+        """
+        Update the P/L values and percentages.
+
+        :param current_price - current price
+        :return: None
         """
-        :param symbol: The symbol of the trading pair.
-        :param side: BUY|SELL
-        :param order_type: LIMIT|MARKET
-        :param position_size: Value in USD
-        :param price: Asking price for LIMIT orders.
-        """
-        # Returns a datetime object containing the local date and time
-        self.timestamp = datetime.now()
-        self.symbol = symbol
-        self.side = side
-        self.order_type = order_type
-        self.position_size = position_size
-        # Flag set once order is placed successfully.
-        self.order_placed = False
-        # Order info returned when order is placed.
-        self.order = None
-        # Flag set once order is filled
-        self.order_filled = False
-        # This flag is set when the trade is closed out.
-        self.trade_closed = False
-        # Opening value of the asset.
-        self.opening_price = price
-        # Current value
-        self.value = 0
-        # Profit or Loss
-        self.profit_loss = 0
-        # Profit or Loss in percentage.
-        self.pl_percentage = 0
 
-    def update(self, current_price):
-        # Utility function.
         def percent(part, whole):
+            # Return a percentage.
             if whole == 0:
                 return 0
             pct = 100 * float(part) / float(whole)
             return pct
 
-        # Set the current value and profit/loss
-        initial_value = self.position_size * self.opening_price
-        self.value = self.position_size * current_price
-        if self.side == 'buy':
-            self.profit_loss = self.value - initial_value
-        else:
-            self.profit_loss = initial_value - self.value
-        self.pl_percentage = percent(self.profit_loss, initial_value)
+        # Update the current price.
+        self.stats['current_price'] = current_price
 
-        return self.profit_loss
+        # Get the value at entry into the position.
+        initial_value = self.stats['opening_value']
+
+        # Calculate the current value in the quote currency.
+        self.stats['current_value'] = float(self.stats['qty_filled'] * current_price)
+
+        # Calculate and set the profit or loss.
+        self.stats['profit'] = self.stats['current_value'] - initial_value
+
+        # If it is a short, reverse the sign.
+        if self.side == 'sell':
+            self.stats['profit'] *= -1
+
+        # Subtract the trade in/out fees that would be paid if settled at the current price.
+        projected_fees = (self.stats['current_value'] * self.fee) + (self.stats['opening_value'] * self.fee)
+        self.stats['profit'] -= projected_fees
+
+        # Calculate and set the profit/loss percentage.
+        self.stats['profit_pct'] = percent(self.stats['profit'], initial_value)
+
+        return
+
+    def update(self, current_price):
+        """
+        Update the trade and return the status of the trade.
+
+        :param current_price: <float> - Most recent price update.
+        :return: <str> - Trade status.
+        """
+
+        # If the trade has been closed return status without updating.
+        if self.status == 'closed':
+            return self.status
+
+        # Update all price dependent values in the trade.
+        self.update_values(current_price)
+
+        # If everything is updated and trade is live return status.
+        return self.status
+
+    def order_placed(self, order):
+        """
+        Set the status and store the order after it has been placed on the exchange.
+
+        :param order: The order received in response to placing an order on the exchange.
+        :return: None
+        """
+        self.status = 'unfilled'
+        self.order = order
+        return
+
+    def trade_filled(self, qty, price):
+        """
+        Records the quantity filled and updates the values and sets the status.
+
+        :param qty <float> - The quantity filled.
+        :param price <float> - The price paid.
+        :return: None
+        """
+        # Todo maybe inactive flag is un-necessary.
+        # If the trade is being filled it must have been active.
+        if self.status == 'inactive':
+            self.status = 'unfilled'
+
+        # If none of the trade had been filled yet.
+        if self.status == 'unfilled':
+            # Record the quantity that has been filled.
+            self.stats['qty_filled'] = qty
+            # Record the price actually paid.
+            self.stats['opening_price'] = price
+        else:
+            # If adding to a partially filled trade, calculate and record
+            # the weighted average of the trade as the opening price.
+            sum_of_values = (qty * price) + self.stats['opening_value']
+            t_qty = self.stats['qty_filled'] + qty
+            weighted_average = sum_of_values / t_qty
+            self.stats['opening_price'] = weighted_average
+            # Add to the quantity that has been filled.
+            self.stats['qty_filled'] += qty
+
+        # Adjust the opening_value record.
+        self.stats['opening_value'] = self.stats['qty_filled'] * self.stats['opening_price']
+
+        # Set the appropriate status for the trade.
+        if self.stats['qty_filled'] == self.base_order_qty:
+            self.status = 'filled'
+        else:
+            self.status = 'part_filled'
+
+    def settle(self, qty, price):
+        """
+        Settle all or part of the trade.
+
+        :param: qty - The quantity that was settled.
+        :param: price - The price the trade was settled at.
+        :return: None
+        """
+        # If noting has been settled yet.
+        if self.stats['qty_settled'] == 0:
+            self.stats['settled_price'] = price
+            self.stats['settled_value'] = qty * price
+            self.stats['qty_settled'] = qty
+        else:
+            # If settling previously reduced trade, calculate and record.
+            # the weighted average of the settled trade as the settled price.
+            sum_of_values = (qty * price) + self.stats['settled_value']
+            t_qty = self.stats['qty_settled'] + qty
+            weighted_average = sum_of_values / t_qty
+            self.stats['settled_price'] = weighted_average
+            # Add to the quantity that has been settled.
+            self.stats['qty_settled'] += qty
+
+        # Adjust the settled value record.
+        self.stats['settled_value'] = self.stats['qty_settled'] * self.stats['settled_price']
+
+        # If the entire trade is settled, mark the trade as closed.
+        if self.stats['qty_settled'] == self.base_order_qty:
+            self.status = 'closed'
+
+        return
+
+        # TODO left over from changes
+        #  Check if the trade has been filled.
+        # if self.flags['order_filled'] is False:
+        #    # if it hasn't been filled cancel the order.
+        #    resp = self.exchange.client.cancel_order(self.unique_id)
+        #    if resp["status"] == "CANCELED":
+        #        return True
+        # else:
+        #    # Toggle the side settings.
+        #    if self.side == 'buy':
+        #        self.side = 'sell'
+        #    else:
+        #        self.side = 'buy'
+        #    # option MARKET closed the trade for what ever it can get.
+        #    if option == 'MARKET':
+        #        self.order_type = 'MARKET'
+        #    self.place_order()
 
 
 class Trades:
-    def __init__(self, client):
+    def __init__(self, loaded_trades=None):
         """
-        :param client: The socket connection to the exchange.
+        This class receives, executes, tracks and stores all active_trades.
+        :param loaded_trades: <list?dict?> A bunch of active_trades to create and store.
         """
+        # Object that maintains exchange and account data
+        self.exchange = None
+
         # Socket connection to the exchange.
-        self.client = client
-        # For automating limit orders offset the current price by 1/100 percent.
-        self.offset_amount = 0.0001
-        # Exchange fees. Maybe these can be fetched from the server?
+        self.client = None
+
+        # Exchange fees. Will be fetched from the server and over writen on connection.
         self.exchange_fees = {'maker': 0.01, 'taker': 0.05}
         # Hedge mode allows long and shorts to be placed simultaneously.
         self.hedge_mode = False
         # If hedge mode is disabled this is either {'buy','sell'}.
         self.side = None
-        # A list of unfilled trades.
-        self.unfilled_trades = []
-        # A list of filled trades.
-        self.filled_trades = []
-        # A completed trades.
-        self.closed_trades = []
-        # Number of open trades.
-        self.num_trades = 0
-        # The quantity sum of all open trades.
-        self.total_position = 0
-        # The value of all open trades in USD.
-        self.total_position_value = 0
-        # Info on all futures symbols
-        self.info = client.futures_exchange_info()
-        # Dictionary of places the exchange requires after the decimal for all symbols.
-        self.symbols_n_precision = {}
-        for item in self.info['symbols']:
-            self.symbols_n_precision[item['symbol']] = item['quantityPrecision']
+        # A list of active trades.
+        self.active_trades = []
+        # A list of trades that have been closed.
+        self.settled_trades = []
+        self.stats = {'num_trades': 0, 'total_position': 0, 'total_position_value': 0}
 
-    def update(self, cdata):
+        # Load any trades that were passed into the constructor.
+        if loaded_trades is not None:
+            # Create the active_trades loaded from file.
+            self.load_trades(loaded_trades)
+
+    def connect_exchange(self, exchange):
+        """
+        Connect an exchange.
+        :param exchange: <Exchange obj> - The exchange to connect.
+        :return: None
+        """
+        self.exchange = exchange
+        self.client = self.exchange.client
+
+        # TODO figure out if I need anything like this.
+        # Find out if hedge-mode is enabled and set a local flag.
+        # pm = self.client.futures_get_position_mode()
+        # self.hedge_mode = pm.dualSidePosition
+        return
+
+    def exchange_connected(self):
+        """
+            Report if an exchange has been connected to ths object.
+        """
+        if self.exchange is None:
+            return False
+        else:
+            return True
+
+    def get_trades(self, form):
+        # Return a python object of all the trades stored in this instance.
+        if form == 'obj':
+            return self.active_trades
+        # Return a JSON object of all the trades stored in this instance.
+        elif form == 'json':
+            trades = self.active_trades
+            json_str = []
+            for trade in trades:
+                json_str.append(trade.to_json())
+            return json_str
+        # Return a dictionary object of all the trades stored in this instance.
+        elif form == 'dict':
+            trades = self.active_trades
+            t_list = []
+            for trade in trades:
+                dic = trade.__dict__
+                t_list.append(dic)
+            return t_list
+
+    def get_trades_by_status(self, status):
+        """
+        Evaluate all active_trades. Return a list of active_trades with the specified
+        status.
+
+        :param status <str>: status to evaluate - ['inactive'|'unfilled'|'filled'|'part_filled'|'closed']
+        :return: List of any trade that have the flag set.
+        """
+        ret_list = []
+        for trade in self.active_trades:
+            if trade.status is status:
+                ret_list.append(trade)
+        return ret_list
+
+    def get_trade_by_id(self, trade_id):
+        """
+        Returns 1st trade found that matches the ID specified.
+
+        :param trade_id: unique id
+        :return: trade object
+        """
+        for trade in self.active_trades:
+            if trade.unique_id == trade_id:
+                return trade
+
+    def load_trades(self, trades):
+        """
+        Creates trade objects from a list trades and attributes.
+
+        :param trades: a list of active_trades to load.
+
+        """
+        # Loop through the list of active_trades provided.
+        for trade in trades:
+            # Append a local list of active_trades with a new trade created trade object.
+            # Pass the properties of trade and a reference of the exchange into the constructor.
+            self.active_trades.append(Trade(self.exchange, **trade))
+        return
+
+    def place_order(self, trade):
+        """
+        Execute a place order command on the exchange.
+
+        :param trade: Trade object
+        :return: on success: order, on fail: <str>'failed'
+        """
+
+        try:
+            # Log the action to the command line.
+            print('\nTrades:place_order(): Attempting to place order on the exchange.')
+            print(f"symbol={trade.symbol}, side={trade.side}, type={trade.order_type}, timeInForce=trade.timeInForce,",
+                  f" quantity={trade.base_order_qty}, price={trade.stats['opening_price']}")
+
+            # Market orders immediately fill with best price available in the orderbook.
+            if trade.order_type == 'MARKET':
+                order = self.exchange.client.create_test_order(symbol=trade.symbol,
+                                                               side=trade.side,
+                                                               type=trade.order_type,
+                                                               quantity=trade.base_order_qty,
+                                                               newClientOrderId=trade.unique_id)
+            # Limit orders are posted in the orderbook.
+            # The order's behavior is modified by setting time_in_force.
+            # GTC (Good-Till-Cancel), IOC (Immediate-Or-Cancel), FOK (Fill-Or-Kill)
+            elif trade.order_type == 'LIMIT':
+                order = self.exchange.client.create_test_order(symbol=trade.symbol,
+                                                               side=trade.side,
+                                                               type=trade.order_type,
+                                                               timeInForce=trade.time_in_force,
+                                                               quantity=trade.base_order_qty,
+                                                               price=trade.stats['opening_price'],
+                                                               newClientOrderId=trade.unique_id)
+            # This is here incase I want to make a custom order type.
+            else:
+                print(f'Trade: No Implementation for trade.order: {trade.order_type}')
+                return 'failed'
+            # If we get here an exception was not thrown by the exchange.
+            # Log the success to the command line.
+            print('Trade:place_order(): Order successfully created.')
+            print(order)
+            # Store the order and set the status flag in the trade object.
+            trade.order_placed(order)
+            return 'success'
+        # Report error if order fails.
+        except Exception as e:
+            # Log the error to the commandline.
+            print(e, "error")
+            return 'failed'
+
+    def update(self, price):
+        """
+         Updates the price all active trades.
+        :param price: current.
+        :return: list of updated trade data
+        """
         r_update = []
-        # Check if any unfilled orders are now filled.
-        for trade in self.unfilled_trades:
-            if not trade.order_filled:
-                order = self.client.get_order(symbol=trade.symbol, orderId=trade.order['orderId'])
-                if order['status'] == 'FILLED':
-                    trade.order_filled = True
-                    self.filled_trades.append(trade)
-                    r_update.append({trade.timestamp: 'filled'})
-        # Delete filled trades from unfilled_trades
-        self.unfilled_trades[:] = (t for t in self.unfilled_trades if t.order_filled is False)
+        for trade in self.active_trades:
 
-        for trade in self.filled_trades:
-            # Update the open trades.
-            ret = trade.update(cdata['close'])
-            r_update.append({trade.timestamp: {'pl': ret}})
-            # If a trade has been closed...
-            if trade.trade_closed:
-                self.closed_trades.append(trade)
-                # Notify caller
-                r_update.append({trade.timestamp: 'closed'})
-        # Delete closed trades from filled_trades
-        self.filled_trades[:] = (t for t in self.filled_trades if t.trade_closed is False)
+            #  If the trade hasn't been filled check the status on the exchange.
+            if trade.status == 'unfilled' or trade.status == 'part-filled':
+                # Get an updated version of the order from the exchange.
+                posted_order = self.client.get_order(symbol=trade.symbol, orderId=trade.order.orderId)
+                # Check to see if the order is filled.
+                if posted_order.orderStatus == 'FILLED':
+                    # If the order is filled update the trade object.
+                    trade.trade_filled(posted_order.toAmount, posted_order.fromAmount)
+                else:
+                    # If the order is not filled, do nothing.
+                    pass
+            if trade.status == 'inactive':
+                #  Check to see if this trade is supposed to be posted on the exchange.
+                if trade.dest == 'exchange':
+                    # Todo: Not sure if a use-case exist where the order will fail to be placed in new_trade.
+                    # If the trade is still inactive new_trade must have failed to place the order.
+                    # Check to see if the order actually doesn't exist.
+                    open_orders = self.client.get_open_orders(symbol=trade.symbol)
+                    order_not_placed = True
+                    for order in open_orders:
+                        if order.orderId is trade.unique_id:
+                            order_not_placed = False
+                    if order_not_placed:
+                        # TODO: Log error encountered in new_trade to avoid failing repeatedly.
+                        # Attempt to place the order again.
+                        result = self.place_order(trade)
+                        if result == 'success':
+                            print(f'Trades:Update(): Order successfully placed on exchange.')
 
+            ret = trade.update(price)
+            if ret == 'updated' or ret == 'trade_filled':
+                r_update.append({
+                    'status': ret,
+                    'id': trade.unique_id,
+                    'pl': trade.stats['profit'],
+                    'pl_pct': trade.stats['profit_pct']
+                })
+            else:
+                r_update.append({'id': trade.unique_id, 'status': ret})
         return r_update
 
-    def new_trade(self, symbol, side, order_type, usd, price=None):
-        # If hedge mode is disabled return False if trade is on opposite side.
-        if self.hedge_mode is False:
-            if self.side is None:
-                self.side = side
-            if self.side != side:
-                return False
+    def new_trade(self, target, symbol, side, order_type, qty, price=None, offset=None):
+        """
+        Return a reference to a newly created a Trade object.
 
-        # If no price is given, set the asking price to be offset by a small amount.
+        :param target: <str> - ['exchange'|'backtester']The destination for this trade.
+        :param symbol - Symbol of the trading pair.
+        :param side - Buy|Sell
+        :param order_type - Market|Limit|Trailing
+        :param qty - Quantity of order
+        :param price - Price to buy at. A relative price may be set by passing a string preceded with a +/-
+        :param offset - Is an amount to offset a trailing limit order.
+        """
+
+        # For now, you must be connected to an exchange to make a trade.
+        if not self.exchange_connected():
+            # Todo: There are some values pulled from the exchange here that make this cumbersum.
+            #  I think this should be able to que trades and place them after connection.
+            #  Clarify whether or not all references to precision, min and max
+            #  values could be move to the place_order() method. To de-couple this method from Exchange.
+            return 'Error', 'No exchange connected.'
+
+        # The required level of precision for this trading pair.
+        precision = self.exchange.get_precision(symbol)
+
+        # Function to convert a value to a float set to the desired precision.
+        def f_val(val):
+            return float(f"{val:.{precision}f}")
+
+        # The minimum value aloud to be traded.
+        minimum_n_qty = f_val(self.exchange.get_min_notional_qty(symbol))
+        # The minimum quantity aloud to be traded.
+        minimum_qty = f_val(self.exchange.get_min_qty(symbol))
+
+        # If quantity isn't supplied set it to the smallest allowable trade.
+        try:
+            qty = f_val(qty)
+        except (Exception,):
+            qty = minimum_qty
+        # If quantity was supplied, but it's too low, return an error.
+        if qty < minimum_qty:
+            return 'Error', 'Order-size too low.'
+
+        # TODO: A hedge mode toggle complicates the behavior of settling and reducing trades.
+        #       Leaving it out for now.
+        #       Notes - A behavior diagram would be helpful to sort out the logic here.
+        #       When do you define a side? Trading out is not a side-change.
+        # If hedge mode is disabled return False if trade is on opposite side.
+        # if self.hedge_mode is False:
+        #    if self.side is None:
+        #        self.side = side
+        #    if self.side != side:
+        #        return 'Error', 'Wrong side. Settle trade or enable hedge mode.'
+
+        # Ensure offset is at least set to the smallest allowable value of the quote asset.
+        if offset is None or offset < minimum_n_qty:
+            offset = minimum_n_qty
+
+        # If no price is given, set relative offset to the current price.
         if price is None:
-            offset = self.get_price(symbol) * self.offset_amount
             if side == 'buy':
                 price = f'-{offset}'
             else:
                 price = f'+{offset}'
 
-        # A relative limit order may be set by passing a string preceded with a +/-
+        # If price is a string process and convert it to a float.
         if type(price) == str:
+            # If it is proceeded with a +/-, processes as a relative limit order.
             if ('+' in price) or ('-' in price):
-                price = self.get_price(symbol) + float(price)
-            else:
-                price = float(price)
+                # Covert the relative value into an absolute offset of the current price.
+                price = self.exchange.get_price(symbol) + float(price)
+            # Convert the string into a float.
+            price = f_val(price)
 
-        position_size = usd / price
-        # The required level of precision for this trading pair.
-        precision = self.symbols_n_precision[symbol]
-        # String representing the order amount formatted to the level of precision defined above.
-        order_amount = "{:0.0{}f}".format(position_size, precision)
-        # Create a trade and place the order.
-        trade = Trade(symbol, side, order_type, order_amount, price)
-        order = self.place_order(trade)
-        # If the order successfully placed store the trade.
-        if order:
-            # Set th order placed flag.
-            trade.order_placed = True
-            # Save the order info in the trade object.
-            trade.order = order
+        # position_size is the value of the trade in the parent currency.
+        # eg .1 BTC @ $10,000 USD/BTC is equal to $1,000 USD.
+        position_size = f_val(qty * price)
 
-            # Update the trades instance.
-            self.num_trades += 1
-            self.unfilled_trades.append(trade)
-            print(order)
-            return trade
+        # Log to terminal for development. Todo remove when stable.
+        print('\nTrades:new_trade(): Creating a trade object.')
+        print(f'Order amount: {position_size:.6f}')
+        print(f'Minimum usd: {minimum_n_qty:.2f}')
+
+        # Create a trade.
+        trade = Trade(dest=target, symbol=symbol, side=side, price=price, qty=qty, order_type=order_type, tif='GTC',
+                      unique_id=None, status=None, stats=None, order=None)
+
+        # If the trade is meant to be on the exchange. Call the method to place the trade on the exchange.
+        if target == 'exchange':
+            # Attempt to place the order.
+            result = self.place_order(trade)
+            if result == 'success':
+                print(f'Trades:new_trade(): Order successfully placed on exchange.')
+
+        # Add the trade to a list of active_trades instance.
+        self.active_trades.append(trade)
+
+        # Return the trade ID
+        return 'Success', trade.unique_id
+
+    def close_trade(self, trade_id):
+        """
+        Close the trade.
+        :param trade_id: <hex> - The unique ID of the trade.
+        :return: <bool> - Return True if successful.
+        """
+        trade = self.get_trade_by_id(trade_id)
+        qty = trade.base_order_qty
+        price = self.exchange.get_price(trade.symbol)
+        trade.settle(qty=qty, price=price)
+        if trade.status == 'closed':
+            self.active_trades.remove(trade)
+            self.settled_trades.append(trade)
+            return True
         else:
             return False
 
-    @staticmethod
-    def get_price(symbol):
-        # Todo: Make sure im getting the correct market price for futures.
-        request = requests.get(f'https://api.binance.com/api/v3/ticker/price?symbol={symbol}')
-        json_obj = json.loads(request.text)
-        return json_obj['price']
+    def reduce_trade(self, trade_id, qty):
+        """
+        Reduce the position of a trade.
 
-    def place_order(self, trade):
-        if trade.order_type == 'MARKET':
-            try:
-                order = self.client.create_test_order(symbol=trade.symbol,
-                                                      side=trade.side,
-                                                      type=trade.order_type,
-                                                      quantity=trade.position_size)
-                print('!!!Order created!!!')
-                return order
-            # Report error if order fails
-            except Exception as e:
-                print(e, "error")
-                return None
-
-        elif trade.order_type == 'LIMIT':
-            try:
-                order = self.client.create_test_order(
-                    symbol=trade.symbol, side=trade.side, type=trade.order_type,
-                    timeInForce='GTC', quantity=trade.position_size,
-                    price=trade.opening_price)
-                return order
-            # If order fails
-            except Exception as e:
-                print(e, "error")
-                return None
-
-        else:
-            print(f'Trade: No Implementation for trade.order: {trade.order_type}')
+        :param trade_id: <hex> - The Unique id of a tradee
+        :param qty: <float> - The quantity to reduce the trade by.
+        :return: <float> - The base quantity left over.
+        """
+        # Fetch the trade object.
+        trade = self.get_trade_by_id(trade_id)
+        if trade.status == 'closed':
+            # Can't reduce a trade that's been closed.
             return None
+        if trade.status == 'inactive' or trade.status == 'unfilled':
+            # If it has been placed but not filled.
+            if trade.status == 'unfilled':
+                # Cancel the order.
+                self.client.cancel_order(symbol=trade.symbol, orderId=trade.unique_id)
+
+            # The order hasn't been placed so just reduce the order quantity.
+            # Make sure you are not reducing more than the original order.
+            if qty > trade.base_order_qty:
+                qty = trade.base_order_qty
+            trade.base_order_qty -= qty
+            # Adjust the opening value.
+            trade.stats['opening_value'] = (trade.base_order_qty * trade.stats['opening_price'])
+            # Re-calculate values so the PL will represent the new value - fees.
+            trade.update_values(trade.stats['opening_price'])
+
+            # If it has been previously placed but not filled and now canceled.
+            if trade.status == 'unfilled':
+                # Replace the order.
+                self.place_order(trade=trade)
+            # Return the new total quantity to buy.
+            return trade.base_order_qty
+
+        # You can't settle more than you own.
+        if qty > trade.stats['qty_filled']:
+            qty = trade.stats['qty_filled']
+        # Retrieve the current price.
+        price = self.exchange.get_price(trade.symbol)
+        # Settle the quantity requested.
+        trade.settle(qty=qty, price=price)
+        # If the trade is closed remove from the list of open active_trades.
+        if trade.status == 'closed':
+            self.active_trades.remove(trade)
+            self.settled_trades.append(trade)
+            return 0
+        else:
+            # If the trade is not closed then return the total left open.
+            left = trade.stats['qty_filled'] - trade.stats['qty_settled']
+            return float(f"{left:.3f}")