work on expanding api to use periods then create the infrastructure for random trials

author: loit <michael.foiani@gmail.com> 2025-07-30 22:42:32 -0400
committer: loit <michael.foiani@gmail.com> 2025-07-30 22:42:32 -0400
commit: 65cba4a565c0546da0baf6b625f4d0fb369cf409 (patch)
tree: 3657d5ad4754ee3e7df1ebf4f63bcded907d19d5
parent: 9e58ec4f60cd42111ed4d5d52830c2402bae263b (diff)
4 files changed, 164 insertions, 18 deletions
diff --git a/api.py b/api.py
index 41e361a..48e8f72 100644
--- a/api.py
+++ b/api.py
@@ -1,5 +1,20 @@
 import requests
 import json
+from datetime import date, date, datetime, timedelta
+
+# helper function to pull most recent chart data on failure
+def pull_last_from_file():
+    fd = open('last_chart_data.json', 'r')
+    d = json.loads(fd.read())
+    fd.close()
+    return d
+    
+def update_last_file(data):
+    fd = open('last_chart_data.json', 'w')
+    fd.truncate(0)
+    fd.write(json.dumps(data))
+    fd.close()
+
 """
 Given the parameters, 
 fetches the data for the corresponding chart using yahoo finance.
@@ -51,15 +66,74 @@ def fetch_chart_data(ticker, period='1y', interval='1d'):
     # save data to file in case necessary
     return data
 
-# helper function to pull most recent chart data on failure
-def pull_last_from_file():
-    fd = open('last_chart_data.json', 'r')
-    d = json.loads(fd.read())
-    fd.close()
-    return d
+"""
+Given the parameters, 
+fetches the data for the corresponding chart using yahoo finance.
+Cosumes period_length as a timedelta and period_end_date as a date
+If bad request, returns the previous chart.
+"""
+def fetch_chart_data_backtest(ticker='ADA-USD', interval='1m', period_end_date=None, period_length=None):
+    if period_end_date == None:
+        period_end_date = datetime.now()
+    if period_length == None:
+        period_length = timedelta(days=8)
     
-def update_last_file(data):
-    fd = open('last_chart_data.json', 'w')
-    fd.truncate(0)
-    fd.write(json.dumps(data))
-    fd.close()
-\ No newline at end of file
+    # cast to int to truncate the decimal
+    period2 = int(datetime.timestamp(period_end_date))
+    # find the first period via subtracting the period length
+    period1 = int(datetime.timestamp(period_end_date - period_length))
+
+    print(datetime.isoformat(datetime.fromtimestamp(period2)), datetime.isoformat(datetime.fromtimestamp(period1)))
+
+    params = {
+           'period1' : period1, # the start date (in epoch time)
+           'period2' : period2, # the end time (in epoch time)
+           'interval' : interval, # 1m, 2m, 5m, 15m, 30m, 60m, 90m, 1h, 4h, 1d, 5d, 1wk, 1mo, 3mo
+           'events' : 'div|split|earn', 
+           'includePrePost' : 'false',
+           'lang' : 'en-US',
+            'region' : 'US' }
+    headers = {'User-agent' : 'fin-backtesting-proj'}
+    r = requests.get("https://query2.finance.yahoo.com/v8/finance/chart/" + ticker, headers=headers, params=params)
+
+    print(r.url)
+    print("status_code:\t", r.status_code)
+
+    # decode the JSON response data into a Python object
+    try:
+        r.raise_for_status() # raises if error before parsing
+    except:
+        print(r.text)
+        last_data = pull_last_from_file()
+        last_data['error'] = True
+        return last_data
+    
+    data_obj = r.json()
+
+    # get the specific data we want
+    if 'timestamp' not in data_obj['chart']['result'][0]:
+        last_data = pull_last_from_file()
+        last_data['error'] = True
+        return last_data
+    timestamps = data_obj['chart']['result'][0]['timestamp']
+    close_prices = data_obj['chart']['result'][0]['indicators']['quote'][0]['close']
+    
+    # clean out null's and 0s from the data
+    i = 0
+    while i < len(timestamps):
+        if close_prices[i] == None or close_prices[i] == 0:
+            del close_prices[i]
+            del timestamps[i]
+            i -= 1
+        i += 1
+    
+    name = data_obj['chart']['result'][0]['meta']['longName']
+
+    data = {'timestamps': timestamps, 'prices': close_prices, 'name': name, 'error': False}
+    update_last_file(data)
+    # save data to file in case necessary
+    return data
+
+def test():
+    fetch_chart_data_backtest()
+test()
+\ No newline at end of file
diff --git a/bt-recent.json b/bt-recent.json
index 78b23f4..90a4710 100644
--- a/bt-recent.json
+++ b/bt-recent.json
@@ -1 +1 @@
-{"chart_data": {"timestamps": [1753488000, 1753488120, 1753488180, 1753488240, 1753488300, 1753488360, 1753488420, 1753488480, 1753488540, 1753488600, 1753488660, 1753488720, 1753488780, 1753488840, 1753488960, 1753489020, 1753489080, 1753489140, 1753489200, 1753489320, 1753489380, 1753489440, 1753489500, 1753489560, 1753489620, 1753489680, 1753489740, 1753489800, 1753489860, 1753489920, 1753489980, 1753490100, 1753490160, 1753490220, 1753490280, 1753490340, 1753490460, 1753490520, 1753490580, 1753490640, 1753490700, 1753490760, 1753490880, 1753490940, 1753491000, 1753491120, 1753491180, 1753491240, 1753491300, 1753491360, 1753491480, 1753491540, 1753491600, 1753491660, 1753491720, 1753491780, 1753491840, 1753491900, 1753491960, 1753492020, 1753492080, 1753492140, 1753492200, 1753492260, 1753492320, 1753492380, 1753492440, 1753492500, 1753492560, 1753492620, 1753492680, 1753492740, 1753492860, 1753492920, 1753492980, 1753493040, 1753493100, 1753493160, 1753493220, 1753493280, 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+\ No newline at end of file
diff --git a/last_chart_data.json b/last_chart_data.json
index 885bca4..abbe0b6 100644
--- a/last_chart_data.json
+++ b/last_chart_data.json
@@ -1 +1 @@
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+\ No newline at end of file
diff --git a/simulate.py b/simulate.py
index 8d69b3d..7b01c21 100644
--- a/simulate.py
+++ b/simulate.py
@@ -1,8 +1,10 @@
 from algo import Algo
 from ema_algo import Ema_Algo
-from api import fetch_chart_data
+from api import fetch_chart_data, fetch_chart_data_backtest
 import datetime
 import json
+import random
+import os
 
 """
 Function that takes in data and returns a buy, sell, or hold singal per interval
@@ -67,7 +69,78 @@ def backtest_algo(algo : Algo, timestamps, prices, init_offset=5, starting_money
     # store all algo name, buy, sell, price data, timestamps, into a json so it can be viewed as a trial
     # caluclate some metrics (NOW: only how much money gained, how many trades, trades per day... etc)
 
-    pass
+ticker_bank = ['BTC-USD', 'ADA-USD', 'ETH-USD', 'ETC-USD', 'DOGE-USD']
+year_bank = [2020, 2021, 2022, 2023, 2024, 2025]
+# time_bank = [0]
+# max_seconds = 24 * 60 * 60
+# timedelta(seconds=rand_second) + datetime(created with 0 time)
+
+"""
+Runs N trials with random parameters
+"""
+def run_batch(batch_name, algo, num_trials=100):
+    i = 1
+    while i <= num_trials:
+        # pick a random set of parameters
+        rand_ticker = ticker_bank[random.randint(0, len(ticker_bank) - 1)]
+        rand_year = year_bank[random.randint(0, len(year_bank) - 1)]
+        rand_day = random.randint(1, 31)
+        rand_month = random.randint(1, 12)
+
+        # ensure the date is valid
+        rand_date = None
+        try: 
+            rand_date = datetime.datetime(rand_year, rand_month, rand_day)
+        except ValueError:
+            # date creation failed
+            continue
+
+        # ensure date is not in future
+        curr_date = datetime.datetime.now()
+        if rand_date > curr_date:
+            continue
+        
+        # pull chart data for these params and run the algo
+        data = fetch_chart_data_backtest(rand_ticker, '1m', rand_date)
+        results = backtest_algo(algo, data['timestamps'], data['prices'], 13)
+
+        # TODO: make this generalized
+        url_params = {
+            "ticker" : rand_ticker,
+            "period" : '8d',
+            "interval" : '1m',
+        }
+        # store the results in into a file
+        trial_data = {
+            "chart_data" : data,
+            "url_params" : url_params,
+            "backtest_results" : results
+        }
+
+        # make a new directory for the batch
+        path = f'batches_{algo.name}/{batch_name}'
+        if i == 1:
+            print(path)
+            try:
+                os.makedirs(path)
+            except PermissionError:
+                print(f"Permission denied: Unable to create {path}.")
+                return
+            except Exception as e:
+                print(f"An error occurred: {e}")
+                return
+
+        percent_gain = results['percent_gain']
+        date_format = datetime.datetime.isoformat(rand_date)
+        file_name = f'{path}/{percent_gain}_{rand_ticker}_{date_format}.json'
+        fd = open(file_name, 'w')
+        fd.write(json.dumps(trial_data))
+        fd.close()
+
+        # increment trial num
+        i += 1
+
+run_batch('test', Ema_Algo(), 5)
 
 def test():
     print("MAIN simulate.py")
@@ -79,7 +152,8 @@ def test():
     interval = '1m'
 
     # get data
-    data = fetch_chart_data(ticker, period, interval)
+    # data = fetch_chart_data(ticker, period, interval)
+    data = fetch_chart_data_backtest()
     print(data.keys())
 
     url_params = {
@@ -101,5 +175,3 @@ def test():
     fd = open('bt-recent.json', 'w')
     fd.write(json.dumps(trial_data))
     fd.close()
-
-test()
-\ No newline at end of file
author	loit <michael.foiani@gmail.com>	2025-07-30 22:42:32 -0400
committer	loit <michael.foiani@gmail.com>	2025-07-30 22:42:32 -0400
commit	65cba4a565c0546da0baf6b625f4d0fb369cf409 (patch)
tree	3657d5ad4754ee3e7df1ebf4f63bcded907d19d5
parent	9e58ec4f60cd42111ed4d5d52830c2402bae263b (diff)