working on backtesting

freqtrade/aws/backtesting_lambda.py

@@ -1,5 +1,10 @@
+import logging
+
+from freqtrade.arguments import Arguments
+from freqtrade.configuration import Configuration
 from freqtrade.optimize.backtesting import Backtesting
 
+
 def backtest(event, context):
     """
         this method is running on the AWS server
@@ -11,8 +16,12 @@ def backtest(event, context):
         :param event:
             {
                 'strategy' : 'url handle where we can find the strategy'
-                'pair' : ' pair to backtest, BTC_ETH as example'
-                'timeframe' : 'how long should we backtest for, 0-100 as example for the last 100 ticks'
+                'stake_currency' : 'our desired stake currency'
+                'asset' : '[] asset we are interested in. If empy, we fill use a default list
+                'username' : user who's strategy should be evaluated
+                'name' : name of the strategy we want to evaluate
+                'exchange' : name of the exchange we should be using
+
             }
         :param context:
             standard AWS context, so pleaes ignore for now!
@@ -20,14 +29,77 @@ def backtest(event, context):
             no return
     """
 
-    backtesting = Backtesting()
-    backtesting.start()
+    name = "TestStrategy"
+    user = "12345678"
+    stake_currency = "USDT"
+    asset = ["ETH", "BTC"]
+    exchange = "binance"
 
+    assets = list(map(lambda x: "{}/{}".format(x, stake_currency).upper(), asset))
+
+    configuration = {
+        "max_open_trades": 1,
+        "stake_currency": stake_currency,
+        "stake_amount": 0.001,
+        "fiat_display_currency": "USD",
+        "unfilledtimeout": 600,
+        "bid_strategy": {
+            "ask_last_balance": 0.0
+        },
+        "exchange": {
+            "name": "bittrex",
+            "enabled": True,
+            "key": "key",
+            "secret": "secret",
+            "pair_whitelist": assets
+        },
+        "telegram": {
+            "enabled": False,
+            "token": "token",
+            "chat_id": "0"
+        },
+        "initial_state": "running",
+        "datadir": ".",
+        "experimental": {
+            "use_sell_signal": True,
+            "sell_profit_only": True
+        },
+        "internals": {
+            "process_throttle_secs": 5
+        },
+        'realistic_simulation': True,
+        "loglevel": logging.DEBUG
+
+    }
+
+    print("generated configuration")
+    print(configuration)
+
+    print("initialized backtesting")
+    backtesting = Backtesting(configuration)
+    result = backtesting.start()
+    print("finished test")
+
+    print(result)
+    print("persist data in dynamo")
+
+    for index, row in result.iterrows():
+        item = {
+            "id": "{}.{}:{}".format(user, name, row['pair']),
+            "pair": row['pair'],
+            "profit": row['profit'],
+            "loss": row['loss'],
+            "duration": row['avg duration'],
+            "avg profit": row['avg profit %'],
+            "total profit": row['total profit {}'.format(stake_currency)]
+
+        }
+
+        print(item)
     pass
 
 
 def submit(event, context):
-
     """
 
     this functions submits a new strategy to the backtesting queue
@@ -37,3 +109,7 @@ def submit(event, context):
     :return:
     """
     pass
+
+
+if __name__ == '__main__':
+    backtest({}, {})

freqtrade/aws/strategy.py

@@ -186,3 +186,18 @@ def submit(event, context):
         "statusCode": result['ResponseMetadata']['HTTPStatusCode'],
         "body": json.dumps(result)
     }
+
+
+def submit_github(event, context):
+    """
+        there has been a push to our github repository, so let's
+        update all the strategies.
+
+        The user account will be the provided secret
+
+    :param event:
+    :param context:
+    :return:
+    """
+
+    print(event)

freqtrade/optimize/backtesting.py

@@ -31,6 +31,7 @@ class Backtesting(object):
     backtesting = Backtesting(config)
     backtesting.start()
     """
+
     def __init__(self, config: Dict[str, Any]) -> None:
         self.config = config
         self.analyze = None
@@ -71,15 +72,19 @@ class Backtesting(object):
             for frame in data.values()
         ]
         return min(timeframe, key=operator.itemgetter(0))[0], \
-            max(timeframe, key=operator.itemgetter(1))[1]
+               max(timeframe, key=operator.itemgetter(1))[1]
 
     def _generate_text_table(self, data: Dict[str, Dict], results: DataFrame) -> str:
         """
         Generates and returns a text table for the given backtest data and the results dataframe
         :return: pretty printed table with tabulate as str
         """
-        stake_currency = self.config.get('stake_currency')
+        floatfmt, headers, tabular_data = self.aggregate(data, results)
 
+        return tabulate(tabular_data, headers=headers, floatfmt=floatfmt)
+
+    def aggregate(self, data, results):
+        stake_currency = self.config.get('stake_currency')
         floatfmt = ('s', 'd', '.2f', '.8f', '.1f')
         tabular_data = []
         headers = ['pair', 'buy count', 'avg profit %',
@@ -95,7 +100,6 @@ class Backtesting(object):
                 len(result[result.profit_BTC > 0]),
                 len(result[result.profit_BTC < 0])
             ])
-
         # Append Total
         tabular_data.append([
             'TOTAL',
@@ -106,7 +110,7 @@ class Backtesting(object):
             len(results[results.profit_BTC > 0]),
             len(results[results.profit_BTC < 0])
         ])
-        return tabulate(tabular_data, headers=headers, floatfmt=floatfmt)
+        return floatfmt, headers, tabular_data
 
     def _get_sell_trade_entry(
             self, pair: str, buy_row: DataFrame,
@@ -213,7 +217,7 @@ class Backtesting(object):
         labels = ['currency', 'profit_percent', 'profit_BTC', 'duration']
         return DataFrame.from_records(trades, columns=labels)
 
-    def start(self) -> None:
+    def start(self):
         """
         Run a backtesting end-to-end
         :return: None
@@ -282,6 +286,10 @@ class Backtesting(object):
             )
         )
 
+        # return date for data storage
+        temp = self.aggregate(data, results)
+        return DataFrame(data=temp[2][:-1], columns=temp[1])
+
 
 def setup_configuration(args: Namespace) -> Dict[str, Any]:
     """

freqtrade/tests/aws/test_backtest.py

@@ -3,5 +3,5 @@ import pytest
 from freqtrade.aws.backtesting_lambda import backtest
 
 
-def test_backtest(lambda_context):
+def test_backtest():
     backtest({}, {})

freqtrade/tests/aws/test_strategy_lambda.py

@@ -5,7 +5,7 @@ import freqtrade.aws.strategy as aws
 
 def test_strategy(lambda_context):
     """
-        very uggly long test
+        very ugly long test
 
     :param lambda_context:
     :return:

serverless.yml

@@ -162,7 +162,7 @@ functions:
     handler: freqtrade/aws/strategy.submit
     events:
       - http:
-          path: submit
+          path: strategies/submit
           method: post
           cors: true
 
@@ -170,6 +170,22 @@ functions:
       topic: ${self:custom.snsTopic}
       strategyTable: ${self:custom.strategyTable}
 
+
+  #submits a new strategy to the system
+  submit_github:
+    memorySize: 128
+    handler: freqtrade/aws/strategy.submit_github
+    events:
+      - http:
+          path: strategies/submit/github
+          method: post
+          cors: true
+
+    environment:
+      topic: ${self:custom.snsTopic}
+      strategyTable: ${self:custom.strategyTable}
+
+
   #TODO
   #backtests the strategy
   backtest: