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authorloit <michael.foiani@gmail.com>2025-07-31 13:20:08 -0400
committerloit <michael.foiani@gmail.com>2025-07-31 13:20:08 -0400
commit2f195e7f14e57e07ec291e8bfeee6da54ef35575 (patch)
tree572fccc4563c3bfb62f70d86ef271b70aedcf0ec
parentde9b1d2297e02a71e06f386066c106406a9477f3 (diff)
attemp using the alpaca api for history data
Diffstat
-rw-r--r--api.py87
-rw-r--r--app.py14
-rw-r--r--bt-recent.json2
-rw-r--r--ema_algo.py8
-rw-r--r--last_chart_data.json2
-rw-r--r--simulate.py12
-rw-r--r--test.py16
7 files changed, 116 insertions, 25 deletions
diff --git a/api.py b/api.py
index 48e8f72..2bc5724 100644
--- a/api.py
+++ b/api.py
@@ -1,6 +1,7 @@
import requests
import json
-from datetime import date, date, datetime, timedelta
+from datetime import datetime, timedelta, timezone
+import pytz
# helper function to pull most recent chart data on failure
def pull_last_from_file():
@@ -20,14 +21,14 @@ Given the parameters,
fetches the data for the corresponding chart using yahoo finance.
If bad request, returns the previous chart.
"""
-def fetch_chart_data(ticker, period='1y', interval='1d'):
+def fetch_chart_data(ticker, period='5d', interval='1m'):
params = {
'interval' : interval, # 1m, 2m, 5m, 15m, 30m, 60m, 90m, 1h, 4h, 1d, 5d, 1wk, 1mo, 3mo
'range' : period, # "1d","5d","1mo","3mo","6mo","1y","2y","5y","10y","ytd","max"
'events' : 'div|split|earn',
'includePrePost' : 'false' }
headers = {'User-agent' : 'fin-backtesting-proj'}
- r = requests.get("https://query2.finance.yahoo.com/v8/finance/chart/" + ticker, headers=headers, params=params)
+ r = requests.get("https://query1.finance.yahoo.com/v8/finance/chart/" + ticker, headers=headers, params=params)
print(r.url)
print("status_code:\t", r.status_code)
@@ -62,7 +63,7 @@ def fetch_chart_data(ticker, period='1y', interval='1d'):
name = data_obj['chart']['result'][0]['meta']['longName']
data = {'timestamps': timestamps, 'prices': close_prices, 'name': name, 'error': False}
- update_last_file(data)
+ # update_last_file(data)
# save data to file in case necessary
return data
@@ -72,11 +73,82 @@ 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):
+def fetch_chart_data_backtest(ticker='XRP/USD', interval='1Min', period_end_date=None, period_length=None):
if period_end_date == None:
- period_end_date = datetime.now()
+ period_end_date = datetime.now().astimezone(pytz.timezone('UTC'))
if period_length == None:
- period_length = timedelta(days=8)
+ period_length = timedelta(days=5)
+
+ # cast to int to truncate the decimal
+ period2 = datetime.isoformat(period_end_date)
+ # find the first period via subtracting the period length
+ period1 = datetime.isoformat(period_end_date - period_length)
+
+ print(period2, period1)
+
+ params = {
+ 'symbols' : ticker,
+ 'timeframe' : interval,
+ 'start' : period1,
+ 'end' : period2,
+ 'limit': 10000,
+ 'sort' : 'asc',
+ }
+ headers = {"accept": "application/json"}
+ url = "https://data.alpaca.markets/v1beta3/crypto/us/bars"
+ # r = requests.get(url, headers=headers, params=params)
+ r = requests.get(url, params=params, headers=headers)
+
+ print(r.url)
+ print("status_code:\t", r.status_code)
+ # print(r.text)
+
+ # 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()
+ res_headers = r.headers
+ print(res_headers)
+
+ timestamps = []
+ close_prices = []
+
+ assert ticker in data_obj['bars']
+
+ chart_data = data_obj['bars'][ticker]
+ for tmp in chart_data:
+ # t, o, h, l, c, v, n, vw (keys for data)
+ timezone_adjusted = datetime.fromisoformat(tmp['t']).astimezone(pytz.timezone('US/Eastern'))
+ timestamps.append(timezone_adjusted.timestamp())
+ close_prices.append(tmp['c'])
+
+ # 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 = ticker
+
+ data = {'timestamps': timestamps, 'prices': close_prices, 'name': name, 'error': False}
+ update_last_file(data)
+ # save data to file in case necessary
+ return data
+
+def fetch_chart_data_yahoo(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=5)
# cast to int to truncate the decimal
period2 = int(datetime.timestamp(period_end_date))
@@ -130,7 +202,6 @@ def fetch_chart_data_backtest(ticker='ADA-USD', interval='1m', period_end_date=N
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
diff --git a/app.py b/app.py
index 952edf5..fc8276b 100644
--- a/app.py
+++ b/app.py
@@ -1,8 +1,10 @@
from dash import Dash, dcc, html, Input, Output
import plotly.graph_objects as go
import json
-from datetime import datetime
+from datetime import datetime, timedelta
from ema_algo import Ema_Algo
+from api import fetch_chart_data_yahoo
+import pytz
app = Dash(__name__)
@@ -79,7 +81,7 @@ def display_color(ticker, period, interval):
# Code to execute no matter what (optional)
raw_timestamps = chart_data['timestamps']
- timestamps = [datetime.fromtimestamp(t) for t in raw_timestamps]
+ timestamps = [datetime.fromtimestamp(t).astimezone(pytz.timezone('US/Eastern')) for t in raw_timestamps]
prices = chart_data['prices']
# test to see if graphc works, TODO make it abstracted
@@ -102,10 +104,16 @@ def display_color(ticker, period, interval):
go.Scatter(name='Buys', x=buy_times, y=buy_prices, line=dict(color='rgb(0, 0, 255)'), mode='markers', marker_size=10),
go.Scatter(name='Sells', x=sell_times, y=sell_prices, line=dict(color='rgb(255, 255, 0)'), mode='markers', marker_size=10)
]
+ data = fetch_chart_data_yahoo('XRP-USD', '1m')
+ times = [datetime.fromtimestamp(t).astimezone(pytz.timezone('US/Eastern')) for t in data['timestamps']]
+ comp_scatter = go.Scatter(name='Price (yahoo)', x=times, y=data['prices'], line=dict(color='rgb(255, 0, 0)'), mode='lines')
fig = go.Figure(
data = [
go.Scatter(name='Price', x=timestamps, y=prices, line=dict(color='rgb(0, 0, 0)'), mode='lines'),
- ] + algo_graphs + buy_sell_scatters,
+ comp_scatter
+ ]
+ # + algo_graphs + buy_sell_scatters
+ ,
layout = go.Layout(
title=go.layout.Title(text='Chart for ' + chart_data['name']),
xaxis=go.layout.XAxis(title='Date (dt=' + url_params['interval'] + ', range=' + url_params['period'] + ')'),
diff --git a/bt-recent.json b/bt-recent.json
index 90a4710..4408e0b 100644
--- a/bt-recent.json
+++ b/bt-recent.json
@@ -1 +1 @@
-{"chart_data": {"timestamps": [1753236180, 1753236240, 1753236300, 1753236360, 1753236420, 1753236480, 1753236540, 1753236600, 1753236660, 1753236720, 1753236780, 1753236840, 1753236900, 1753237020, 1753237080, 1753237140, 1753237200, 1753237260, 1753237320, 1753237380, 1753237440, 1753237500, 1753237560, 1753237620, 1753237680, 1753237740, 1753237800, 1753237860, 1753237920, 1753237980, 1753238040, 1753238100, 1753238160, 1753238220, 1753238280, 1753238340, 1753238400, 1753238460, 1753238520, 1753238580, 1753238640, 1753238700, 1753238760, 1753238820, 1753238880, 1753238940, 1753239000, 1753239060, 1753239120, 1753239180, 1753239240, 1753239300, 1753239360, 1753239420, 1753239480, 1753239540, 1753239600, 1753239660, 1753239720, 1753239780, 1753239840, 1753239900, 1753239960, 1753240020, 1753240080, 1753240140, 1753240200, 1753240320, 1753240380, 1753240440, 1753240500, 1753240560, 1753240620, 1753240680, 1753240740, 1753240860, 1753240920, 1753240980, 1753241040, 1753241100, 1753241160, 1753241220, 1753241280, 1753241340, 1753241400, 1753241460, 1753241520, 1753241580, 1753241640, 1753241700, 1753241760, 1753241820, 1753241880, 1753241940, 1753242000, 1753242120, 1753242180, 1753242240, 1753242300, 1753242360, 1753242420, 1753242480, 1753242540, 1753242600, 1753242660, 1753242720, 1753242780, 1753242840, 1753242900, 1753242960, 1753243020, 1753243080, 1753243140, 1753243200, 1753243260, 1753243320, 1753243380, 1753243440, 1753243500, 1753243560, 1753243620, 1753243680, 1753243740, 1753243800, 1753243860, 1753243920, 1753243980, 1753244040, 1753244100, 1753244160, 1753244220, 1753244280, 1753244340, 1753244400, 1753244460, 1753244520, 1753244580, 1753244640, 1753244700, 1753244760, 1753244820, 1753244880, 1753244940, 1753245000, 1753245060, 1753245120, 1753245180, 1753245240, 1753245300, 1753245360, 1753245420, 1753245480, 1753245540, 1753245600, 1753245660, 1753245720, 1753245780, 1753245840, 1753245900, 1753245960, 1753246020, 1753246080, 1753246140, 1753246200, 1753246260, 1753246320, 1753246380, 1753246440, 1753246500, 1753246560, 1753246620, 1753246680, 1753246740, 1753246800, 1753246860, 1753246920, 1753246980, 1753247040, 1753247100, 1753247160, 1753247220, 1753247280, 1753247340, 1753247400, 1753247460, 1753247520, 1753247580, 1753247640, 1753247700, 1753247760, 1753247820, 1753247880, 1753247940, 1753248000, 1753248060, 1753248120, 1753248180, 1753248240, 1753248300, 1753248360, 1753248420, 1753248480, 1753248540, 1753248600, 1753248660, 1753248720, 1753248780, 1753248840, 1753248900, 1753249020, 1753249080, 1753249140, 1753249200, 1753249320, 1753249380, 1753249440, 1753249500, 1753249560, 1753249620, 1753249680, 1753249740, 1753249800, 1753249860, 1753249920, 1753249980, 1753250040, 1753250100, 1753250160, 1753250220, 1753250280, 1753250340, 1753250400, 1753250460, 1753250520, 1753250580, 1753250640, 1753250700, 1753250760, 1753250820, 1753250880, 1753250940, 1753251000, 1753251060, 1753251120, 1753251180, 1753251240, 1753251300, 1753251360, 1753251420, 1753251480, 1753251540, 1753251660, 1753251720, 1753251780, 1753251840, 1753251900, 1753252020, 1753252080, 1753252140, 1753252200, 1753252260, 1753252380, 1753252440, 1753252500, 1753252560, 1753252620, 1753252740, 1753252800, 1753252860, 1753252920, 1753252980, 1753253040, 1753253100, 1753253160, 1753253220, 1753253280, 1753253340, 1753253400, 1753253460, 1753253520, 1753253580, 1753253640, 1753253700, 1753253760, 1753253820, 1753253880, 1753253940, 1753254000, 1753254120, 1753254180, 1753254240, 1753254300, 1753254360, 1753254420, 1753254480, 1753254540, 1753254600, 1753254660, 1753254720, 1753254780, 1753254840, 1753254900, 1753254960, 1753255020, 1753255080, 1753255140, 1753255200, 1753255260, 1753255320, 1753255380, 1753255440, 1753255500, 1753255560, 1753255620, 1753255680, 1753255740, 1753255800, 1753255860, 1753255920, 1753255980, 1753256040, 1753256100, 1753256160, 1753256220, 1753256280, 1753256340, 1753256400, 1753256460, 1753256520, 1753256580, 1753256640, 1753256700, 1753256760, 1753256820, 1753256880, 1753256940, 1753257000, 1753257060, 1753257120, 1753257180, 1753257240, 1753257300, 1753257360, 1753257420, 1753257480, 1753257540, 1753257600, 1753257660, 1753257720, 1753257780, 1753257840, 1753257900, 1753257960, 1753258020, 1753258080, 1753258140, 1753258200, 1753258320, 1753258380, 1753258440, 1753258500, 1753258560, 1753258620, 1753258680, 1753258740, 1753258800, 1753258860, 1753258920, 1753258980, 1753259040, 1753259100, 1753259160, 1753259220, 1753259280, 1753259340, 1753259400, 1753259460, 1753259520, 1753259580, 1753259640, 1753259700, 1753259760, 1753259820, 1753259880, 1753259940, 1753260000, 1753260060, 1753260120, 1753260180, 1753260240, 1753260300, 1753260360, 1753260420, 1753260480, 1753260540, 1753260600, 1753260660, 1753260720, 1753260780, 1753260840, 1753260900, 1753260960, 1753261020, 1753261080, 1753261140, 1753261200, 1753261260, 1753261320, 1753261380, 1753261440, 1753261500, 1753261560, 1753261620, 1753261680, 1753261740, 1753261800, 1753261860, 1753261920, 1753261980, 1753262040, 1753262100, 1753262160, 1753262220, 1753262280, 1753262340, 1753262400, 1753262460, 1753262520, 1753262580, 1753262640, 1753262700, 1753262760, 1753262820, 1753262880, 1753262940, 1753263000, 1753263120, 1753263180, 1753263240, 1753263360, 1753263420, 1753263480, 1753263540, 1753263600, 1753263720, 1753263780, 1753263840, 1753263900, 1753263960, 1753264020, 1753264080, 1753264140, 1753264200, 1753264320, 1753264380, 1753264440, 1753264500, 1753264560, 1753264620, 1753264680, 1753264740, 1753264800, 1753264860, 1753264920, 1753264980, 1753265040, 1753265100, 1753265160, 1753265220, 1753265280, 1753265340, 1753265400, 1753265460, 1753265520, 1753265580, 1753265640, 1753265700, 1753265760, 1753265820, 1753265940, 1753266000, 1753266060, 1753266120, 1753266180, 1753266240, 1753266300, 1753266360, 1753266420, 1753266480, 1753266540, 1753266600, 1753266660, 1753266720, 1753266780, 1753266840, 1753266900, 1753266960, 1753267080, 1753267140, 1753267200, 1753267260, 1753267320, 1753267380, 1753267440, 1753267560, 1753267620, 1753267740, 1753267800, 1753267860, 1753267980, 1753268040, 1753268100, 1753268160, 1753268220, 1753268280, 1753268340, 1753268400, 1753268460, 1753268520, 1753268580, 1753268640, 1753268700, 1753268820, 1753268880, 1753268940, 1753269000, 1753269060, 1753269120, 1753269180, 1753269300, 1753269360, 1753269420, 1753269480, 1753269540, 1753269600, 1753269660, 1753269720, 1753269780, 1753269840, 1753269900, 1753269960, 1753270020, 1753270080, 1753270140, 1753270200, 1753270260, 1753270320, 1753270380, 1753270440, 1753270500, 1753270560, 1753270620, 1753270680, 1753270740, 1753270860, 1753270920, 1753270980, 1753271100, 1753271160, 1753271220, 1753271280, 1753271340, 1753271400, 1753271460, 1753271520, 1753271580, 1753271640, 1753271700, 1753271760, 1753271820, 1753271880, 1753271940, 1753272060, 1753272120, 1753272180, 1753272240, 1753272300, 1753272360, 1753272420, 1753272480, 1753272540, 1753272600, 1753272660, 1753272720, 1753272780, 1753272840, 1753272900, 1753272960, 1753273020, 1753273080, 1753273140, 1753273200, 1753273260, 1753273320, 1753273380, 1753273500, 1753273560, 1753273620, 1753273680, 1753273800, 1753273920, 1753273980, 1753274040, 1753274100, 1753274160, 1753274220, 1753274280, 1753274340, 1753274460, 1753274520, 1753274580, 1753274640, 1753274700, 1753274760, 1753274820, 1753274880, 1753274940, 1753275000, 1753275060, 1753275120, 1753275180, 1753275240, 1753275300, 1753275360, 1753275420, 1753275480, 1753275540, 1753275600, 1753275720, 1753275780, 1753275840, 1753275900, 1753275960, 1753276020, 1753276080, 1753276140, 1753276200, 1753276260, 1753276380, 1753276440, 1753276500, 1753276560, 1753276620, 1753276680, 1753276800, 1753276860, 1753276920, 1753276980, 1753277040, 1753277100, 1753277220, 1753277340, 1753277460, 1753277520, 1753277580, 1753277640, 1753277700, 1753277760, 1753277820, 1753277880, 1753278000, 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1753284180, 1753284300, 1753284360, 1753284420, 1753284480, 1753284600, 1753284660, 1753284720, 1753284780, 1753284840, 1753284900, 1753284960, 1753285020, 1753285080, 1753285140, 1753285260, 1753285320, 1753285380, 1753285440, 1753285500, 1753285560, 1753285620, 1753285680, 1753285740, 1753285800, 1753285920, 1753285980, 1753286040, 1753286100, 1753286160, 1753286220, 1753286280, 1753286340, 1753286400, 1753286460, 1753286580, 1753286700, 1753286820, 1753286880, 1753286940, 1753287060, 1753287120, 1753287240, 1753287300, 1753287360, 1753287420, 1753287480, 1753287540, 1753287600, 1753287720, 1753287780, 1753287840, 1753287900, 1753287960, 1753288020, 1753288080, 1753288140, 1753288200, 1753288260, 1753288320, 1753288380, 1753288440, 1753288560, 1753288620, 1753288680, 1753288740, 1753288800, 1753288860, 1753288920, 1753288980, 1753289040, 1753289100, 1753289220, 1753289280, 1753289340, 1753289400, 1753289520, 1753289580, 1753289700, 1753289760, 1753289940, 1753290000, 1753290120, 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diff --git a/ema_algo.py b/ema_algo.py
index db25c08..8b0899d 100644
--- a/ema_algo.py
+++ b/ema_algo.py
@@ -1,6 +1,6 @@
from algo import Algo
import plotly.graph_objects as go
-import datetime
+from datetime import datetime
class Ema_Algo(Algo):
def __init__(self, shortPeriod=5, longPeriod=13):
@@ -21,12 +21,12 @@ class Ema_Algo(Algo):
return self.g_data
def export_graph(self, g_data):
- timestamps = [datetime.datetime.fromtimestamp(t) for t in g_data['timestamps']]
+ timestamps = [datetime.fromtimestamp(t) for t in g_data['timestamps']]
ema_5 = g_data['ema_short']
ema_13 = g_data['ema_long']
exp = [
- go.Scatter(name='5 day EMA', x=timestamps, y=ema_5, line=dict(color='rgb(0, 255, 0)'), mode='lines'),
- go.Scatter(name='13 day EMA', x=timestamps, y=ema_13, line=dict(color='rgb(0, 0, 255)'), mode='lines')
+ go.Scatter(name='5 day EMA', x=timestamps, y=ema_5, line=dict(color='rgb(0, 255, 255)'), mode='lines'),
+ go.Scatter(name='13 day EMA', x=timestamps, y=ema_13, line=dict(color='rgb(255, 0, 255)'), mode='lines')
]
return exp
diff --git a/last_chart_data.json b/last_chart_data.json
index abbe0b6..409af0e 100644
--- a/last_chart_data.json
+++ b/last_chart_data.json
@@ -1 +1 @@
-{"timestamps": [1753238280, 1753238340, 1753238400, 1753238460, 1753238520, 1753238580, 1753238640, 1753238700, 1753238760, 1753238820, 1753238880, 1753238940, 1753239000, 1753239060, 1753239120, 1753239180, 1753239240, 1753239300, 1753239360, 1753239420, 1753239480, 1753239540, 1753239600, 1753239660, 1753239720, 1753239780, 1753239840, 1753239900, 1753239960, 1753240020, 1753240080, 1753240140, 1753240200, 1753240320, 1753240380, 1753240440, 1753240500, 1753240560, 1753240620, 1753240680, 1753240740, 1753240860, 1753240920, 1753240980, 1753241040, 1753241100, 1753241160, 1753241220, 1753241280, 1753241340, 1753241400, 1753241460, 1753241520, 1753241580, 1753241640, 1753241700, 1753241760, 1753241820, 1753241880, 1753241940, 1753242000, 1753242120, 1753242180, 1753242240, 1753242300, 1753242360, 1753242420, 1753242480, 1753242540, 1753242600, 1753242660, 1753242720, 1753242780, 1753242840, 1753242900, 1753242960, 1753243020, 1753243080, 1753243140, 1753243200, 1753243260, 1753243320, 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3.090935, 3.0883, 3.09, 3.09083, 3.0905, 3.08775, 3.09205, 3.10095, 3.098, 3.0913, 3.0924, 3.09446, 3.09285, 3.097275, 3.095735, 3.093, 3.0919, 3.08645, 3.081685, 3.08595, 3.088785, 3.08893, 3.0922, 3.08773, 3.0892, 3.092425, 3.090895, 3.0909, 3.0857, 3.08139, 3.082735, 3.0875, 3.091, 3.08715, 3.089105, 3.0945, 3.096585, 3.099975, 3.09748, 3.09548, 3.09305, 3.093405, 3.09101, 3.091615, 3.09275, 3.0966, 3.0936, 3.09385, 3.09577, 3.10135, 3.10135, 3.09585, 3.098955, 3.098015, 3.100755, 3.09919, 3.097845, 3.098905, 3.0944, 3.1, 3.101145, 3.1005, 3.098965, 3.095955, 3.09445, 3.09985, 3.09795, 3.10038, 3.09894, 3.10165, 3.10056, 3.10058, 3.10085, 3.10022, 3.101765, 3.10345, 3.105645, 3.1123, 3.1085, 3.1078, 3.09949, 3.097005, 3.10185, 3.1053, 3.10874, 3.106415, 3.1123, 3.1119, 3.1155, 3.11518, 3.1133, 3.1135, 3.11506, 3.114825, 3.11214, 3.111585, 3.114435, 3.116415, 3.1198, 3.12075, 3.12315, 3.125625, 3.129165, 3.127465, 3.13015, 3.1315, 3.13339, 3.134625, 3.13375, 3.1336, 3.1328, 3.1334, 3.1334, 3.131635, 3.13016, 3.126195, 3.12, 3.118785, 3.122675, 3.119055, 3.12044, 3.123965, 3.12721, 3.124675, 3.1225, 3.11894, 3.12207, 3.12213, 3.1175, 3.114, 3.10675, 3.10569, 3.10545, 3.1094, 3.11018, 3.109375, 3.1068, 3.10855, 3.1086, 3.1078, 3.107695, 3.1043, 3.09897, 3.1044, 3.1061, 3.09978], "name": "XRP/USD", "error": false} \ No newline at end of file
diff --git a/simulate.py b/simulate.py
index 7b01c21..b576c4b 100644
--- a/simulate.py
+++ b/simulate.py
@@ -1,6 +1,6 @@
from algo import Algo
from ema_algo import Ema_Algo
-from api import fetch_chart_data, fetch_chart_data_backtest
+from api import fetch_chart_data_yahoo, fetch_chart_data_backtest
import datetime
import json
import random
@@ -140,20 +140,22 @@ def run_batch(batch_name, algo, num_trials=100):
# increment trial num
i += 1
-run_batch('test', Ema_Algo(), 5)
+# run_batch('test', Ema_Algo(), 5)
def test():
print("MAIN simulate.py")
ema_algo = Ema_Algo()
- ticker = 'ADA-USD'
+ ticker = 'XRP-USD'
period = '5d'
interval = '1m'
# get data
# data = fetch_chart_data(ticker, period, interval)
- data = fetch_chart_data_backtest()
+ # period_end_date = datetime.datetime.now(tz=datetime.timezone.utc) - datetime.timedelta(days=7)
+ # print(period_end_date)
+ data = fetch_chart_data_yahoo(ticker)
print(data.keys())
url_params = {
@@ -175,3 +177,5 @@ def test():
fd = open('bt-recent.json', 'w')
fd.write(json.dumps(trial_data))
fd.close()
+
+test() \ No newline at end of file
diff --git a/test.py b/test.py
index 80deb5d..e77497c 100644
--- a/test.py
+++ b/test.py
@@ -1,9 +1,17 @@
import requests
+from api import fetch_chart_data_backtest
-url = "https://data.alpaca.markets/v1beta3/crypto/us/quotes?limit=1000&sort=asc"
+# params = {
+# 'symbols' : 'BTC-USD',
+# 'timeframe' : '1Min',
+# 'start' : period1,
+# 'end' : period2,
+# 'limit': 10000,
+# 'sort' : 'asc',
+# }
-headers = {"accept": "application/json"}
+# headers = {"accept": "application/json"}
-response = requests.get(url, headers=headers)
+# url = "https://data.alpaca.markets/v1beta3/crypto/us/quotes"
-print(response.text) \ No newline at end of file
+fetch_chart_data_backtest() \ No newline at end of file
generated by cgit v1.2.3-70-g09d2 (git 2.46.0) at 2025-10-05 22:22:41 +0000