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fetch data bug fix for both index and DVA/DCA calculation

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This commit is contained in:
tab888
2026-02-02 06:48:49 +08:00
parent d33b521b22
commit 6506932042
15 changed files with 35346 additions and 16918 deletions
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__pycache__/engine.cpython-313.pyc
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app.py
+18 -31
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@@ -62,54 +62,41 @@ def run_sync():
@app.route('/api/backtest', methods=['POST'])
def api_backtest():
data = request.get_json() or {}
# 1. Extract and Sanitize Symbol
symbol = data.get('symbol', '').strip().upper()
print(f"DEBUG: Processing {symbol} with payload: {data}")
engine = DataEngine(symbol=symbol)
if not symbol:
return jsonify({"error": "Symbol is required"}), 400
try:
# 2. Extract and Cast Inputs (Ensuring types match engine requirements)
# Note: JS uses 'startDate' (camelCase), Python often uses 'start_date'
initial = float(data.get('initial_inv', 0))
monthly = float(data.get('monthly_target', 0))
start_date = data.get('startDate') or data.get('start_date', '2024-01-01')
frequency = data.get('frequency', 'Monthly')
# Robust Boolean Check
allow_sell = data.get('allow_sell') is True
allow_frac = data.get('allow_fractional') is True
# 3. Initialize Engines
# 1. Initialize the Engine
# (The Engine's __init__ should handle looking up the URL in instruments.csv)
data_eng = DataEngine(symbol=symbol)
# Verify file exists after DataEngine logic
# 2. Trigger Smart Fetch
# (Inside engine.py, this checks the 24h clock and updates if needed)
data_eng.fetch_data()
# 3. Verify data exists before proceeding
if not os.path.exists(data_eng.file_path):
return jsonify({"error": f"Data for {symbol} could not be retrieved."}), 404
return jsonify({"error": f"No data found for {symbol}"}), 404
# 4. Run Strategy
strat_eng = StrategyEngine(data_eng)
# 4. Calculation - Calling the correctly named method 'run_simulation'
# Ensure arguments match the signature in your engine.py
history = strat_eng.run_simulation(
start_date=start_date,
monthly_goal=monthly,
initial_inv=initial,
frequency=frequency,
allow_sell=allow_sell,
allow_fractional=allow_frac
start_date=data.get('startDate', '2024-01-01'),
monthly_goal=float(data.get('monthly_target', 0)),
initial_inv=float(data.get('initial_inv', 0)),
frequency=data.get('frequency', 'Monthly'),
allow_sell=data.get('allow_sell') is True,
allow_fractional=data.get('allow_fractional') is True
)
return jsonify(history)
except Exception as e:
import traceback
print("CRITICAL ERROR in /api/backtest:")
print(traceback.format_exc())
# Returning the actual error message helps debugging the '500' faster
return jsonify({"error": str(e)}), 500
app.logger.error(f"Backtest Error: {str(e)}")
return jsonify({"error": "Internal server error"}), 500
@app.route('/backtest') # This is the URL you will actually visit
def backtest_ui():
data_cache/Allianz Oriental Income Cl A.csv → data_cache/ALLIANZ ORIENTAL INCOME CL A.csv
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data_cache/ASX.AX.csv
+6941
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data_cache/CSL.AX.csv
+8346 -8091
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data_cache/JPM Korea.csv → data_cache/JPM KOREA.csv
+4
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@@ -4360,3 +4360,7 @@ date,close
2026-01-21,26.15
2026-01-22,26.3
2026-01-23,26.61
2026-01-26,27.01
2026-01-27,27.61
2026-01-28,28.72
2026-01-29,29.1
1 date close
4360 2026-01-21 26.15
4361 2026-01-22 26.3
4362 2026-01-23 26.61
4363 2026-01-26 27.01
4364 2026-01-27 27.61
4365 2026-01-28 28.72
4366 2026-01-29 29.1
data_cache/JPM_EVERGREEN.csv → data_cache/JPMORGAN EVERGREEN.csv
+4
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@@ -5289,3 +5289,7 @@ date,close
2026-01-21,36.58
2026-01-22,36.76
2026-01-23,36.82
2026-01-26,37.01
2026-01-27,37.18
2026-01-28,37.23
2026-01-29,37.2
1 date close
5289 2026-01-21 36.58
5290 2026-01-22 36.76
5291 2026-01-23 36.82
5292 2026-01-26 37.01
5293 2026-01-27 37.18
5294 2026-01-28 37.23
5295 2026-01-29 37.2
data_cache/RIO.AX.csv
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data_cache/SPMO ETF - USD.csv
+209 -204
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data_cache/SPY.csv
+8808 -8306
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data_cache/TEMP.csv
+962
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@@ -0,0 +1,962 @@
date,close,high,low,open,volume
2021-12-13,55.85871505737305,55.85871505737305,55.85871505737305,55.85871505737305,0
2021-12-14,45.489219665527344,45.489219665527344,45.489219665527344,45.489219665527344,24
2021-12-15,46.17011642456055,46.17011642456055,46.17011642456055,46.17011642456055,396
2021-12-16,45.892364501953125,46.5168257902284,45.892364501953125,46.5168257902284,2145
2021-12-17,45.09291076660156,45.38520703358122,45.09291076660156,45.264821869035906,247
2021-12-20,44.180870056152344,44.180870056152344,44.180870056152344,44.180870056152344,61
2021-12-21,45.07634735107422,45.07634735107422,44.97590024009761,44.97590024009761,242
2021-12-22,45.47101593017578,45.47101593017578,45.47101593017578,45.47101593017578,32
2021-12-23,45.94427490234375,45.94427490234375,45.94427490234375,45.94427490234375,26
2021-12-27,46.10886764526367,46.10886764526367,45.97750497233952,45.97750497233952,24662
2021-12-28,46.064369201660156,46.17011401269915,46.064369201660156,46.1315935546599,7422
2021-12-29,46.09316635131836,46.09316635131836,46.09316635131836,46.09316635131836,114
2021-12-30,46.12874984741211,46.364942982875036,46.12874984741211,46.26086890063365,2131
2021-12-31,46.265682220458984,46.265682220458984,46.265682220458984,46.265682220458984,1
2022-01-03,46.19947814941406,46.19947814941406,46.19947814941406,46.19947814941406,66
2022-01-04,46.34248733520508,46.34248733520508,46.15013905922842,46.15013905922842,332
2022-01-05,45.388362884521484,46.06331329444799,45.388362884521484,46.06331329444799,310
2022-01-06,45.05146408081055,45.05146408081055,45.05146408081055,45.05146408081055,55
2022-01-07,44.81025695800781,44.8490949596252,44.791273575106516,44.8490949596252,1136
2022-01-10,44.116703033447266,44.116703033447266,43.78905589139819,43.95288130047287,18435
2022-01-11,44.74251174926758,44.74251174926758,44.29016392907852,44.29016392907852,1889
2022-01-12,45.289005279541016,45.42729282367554,45.2634710862942,45.302014998789566,2378
2022-01-13,44.723140716552734,45.047990337365654,44.723140716552734,45.047990337365654,202
2022-01-14,44.04279327392578,44.04279327392578,43.73124008538146,43.73124008538146,2231
2022-01-18,43.10398483276367,43.40359067934247,43.10398483276367,43.36504309210765,1350
2022-01-19,42.75340270996094,43.1354009933117,42.75340270996094,43.1354009933117,292
2022-01-20,42.447242736816406,42.447242736816406,42.447242736816406,42.447242736816406,52
2022-01-21,41.63737869262695,41.63737869262695,41.63737869262695,41.63737869262695,65
2022-01-24,41.37834930419922,41.37834930419922,41.37834930419922,41.37834930419922,89
2022-01-25,40.539764404296875,40.84987289120708,40.539764404296875,40.79205518236946,356
2022-01-26,40.525596618652344,41.31242909883062,40.525596618652344,41.26781227107915,849
2022-01-27,39.711299896240234,40.56077319984141,39.711299896240234,40.56077319984141,647
2022-01-28,39.91386032104492,39.91386032104492,39.38413061250698,39.63564938516065,2364
2022-01-31,41.206233978271484,41.206233978271484,40.059662009951744,40.059662009951744,7264
2022-02-01,41.462669372558594,41.462669372558594,40.78250993860883,41.14851351506104,1941
2022-02-02,41.443973541259766,41.68826144082327,41.43385323687173,41.68826144082327,1432
2022-02-03,40.386924743652344,40.647597017298494,40.386924743652344,40.647597017298494,846
2022-02-04,40.1634521484375,40.1634521484375,39.732017649658545,40.06930354030005,481
2022-02-07,39.8541145324707,40.059663682307665,39.8541145324707,39.98257218233036,3276
2022-02-08,40.08549499511719,40.08549499511719,39.944027615496914,39.944027615496914,2714
2022-02-09,41.13791275024414,41.13791275024414,40.984884041877514,40.984884041877514,403
2022-02-10,40.49601364135742,41.1861904585963,40.49601364135742,41.177518537809995,2526
2022-02-11,39.430198669433594,39.751291336809096,39.430198669433594,39.751291336809096,185
2022-02-14,39.165283203125,39.165283203125,39.165283203125,39.165283203125,169
2022-02-15,40.331703186035156,40.331703186035156,40.10784339683215,40.10784339683215,561
2022-02-16,40.60799026489258,40.60799026489258,40.27070806430826,40.27070806430826,137
2022-02-17,39.853050231933594,40.24594078787774,39.853050231933594,40.24594078787774,300
2022-02-18,39.38798904418945,39.38798904418945,39.38798904418945,39.38798904418945,151
2022-02-22,38.544105529785156,38.95144688064774,38.45997796846747,38.95144688064774,1303
2022-02-23,37.9634895324707,38.90325877619421,37.9634895324707,38.90325877619421,202
2022-02-24,38.569549560546875,38.59489259895065,36.783196202145795,36.783196202145795,8125
2022-02-25,39.5332145690918,39.54892254640446,38.78762419545929,39.027577977604565,3975
2022-02-28,39.71611785888672,39.71611785888672,39.71611785888672,39.71611785888672,38
2022-03-01,38.82135009765625,39.31763833599183,38.79725693660879,39.31763833599183,2536
2022-03-02,39.226959228515625,39.27909368617931,38.75871592398091,38.75871592398091,2142
2022-03-03,38.71910858154297,38.71910858154297,38.71910858154297,38.71910858154297,205
2022-03-04,37.75948715209961,37.75948715209961,37.49630777824329,37.49630777824329,209
2022-03-07,36.987972259521484,37.91068445002057,36.950968634427106,37.91068445002057,207
2022-03-08,37.68239212036133,37.78540747992354,37.68239212036133,37.78540747992354,1141
2022-03-09,38.73857498168945,38.73857498168945,38.274952530579576,38.274952530579576,142
2022-03-10,38.437232971191406,38.51779838904766,38.437232971191406,38.51779838904766,130
2022-03-11,38.14418029785156,38.3539716683295,38.14418029785156,38.333734735940965,6393
2022-03-14,38.03499984741211,38.527431865367454,38.03499984741211,38.527431865367454,1013
2022-03-15,38.61204147338867,38.61204147338867,38.38288440506446,38.42142831736982,1035
2022-03-16,39.92012405395508,39.92012405395508,39.51037122970693,39.799470771777436,1105
2022-03-17,40.315616607666016,40.35840274019369,40.315616607666016,40.35840274019369,273
2022-03-18,40.64923858642578,40.64923858642578,40.01148293849634,40.01148293849634,311
2022-03-21,40.379695892333984,40.379695892333984,40.31985265766272,40.32274207239652,324
2022-03-22,40.78135299682617,40.80168550639295,40.618589989489585,40.80168550639295,566
2022-03-23,40.19187927246094,40.22349005994049,40.19187927246094,40.22349005994049,146
2022-03-24,40.55094528198242,40.55094528198242,40.252401793615505,40.252401793615505,393
2022-03-25,40.459102630615234,40.459102630615234,40.262030580005984,40.262030580005984,571
2022-03-28,40.53147888183594,40.53147888183594,40.28130921123939,40.28130921123939,270
2022-03-29,41.031131744384766,41.031131744384766,40.85950566486815,41.023327384138575,363
2022-03-30,40.98642349243164,41.081152922274825,40.98642349243164,41.04742470159062,325
2022-03-31,40.53889465332031,40.81614246277621,40.53889465332031,40.81614246277621,1040
2022-04-01,40.78569030761719,40.78569030761719,40.78569030761719,40.78569030761719,14
2022-04-04,40.95086669921875,40.95587722425184,40.6667776496537,40.6667776496537,3627
2022-04-05,40.43414306640625,40.772778065694034,40.43414306640625,40.772778065694034,346
2022-04-06,39.62495422363281,39.62495422363281,39.62495422363281,39.62495422363281,19
2022-04-07,39.55220031738281,39.57783376750026,39.55220031738281,39.57783376750026,299
2022-04-08,39.389434814453125,39.389434814453125,39.389434814453125,39.389434814453125,65
2022-04-11,38.822994232177734,38.97072201435937,38.822994232177734,38.97072201435937,280
2022-04-12,38.63815689086914,38.63815689086914,38.63815689086914,38.63815689086914,8
2022-04-13,39.134254455566406,39.134254455566406,39.134254455566406,39.134254455566406,61
2022-04-14,38.76931381225586,39.04887390284622,38.76931381225586,39.04887390284622,797
2022-04-18,38.59363555908203,38.59363555908203,38.54670646145945,38.54670646145945,321
2022-04-19,39.11555862426758,39.11555862426758,38.49852153367093,38.49852153367093,846
2022-04-20,39.2047004699707,39.39473648682277,39.2047004699707,39.39473648682277,113
2022-04-21,38.548439025878906,39.51037150427341,38.548439025878906,39.51037150427341,412
2022-04-22,37.781551361083984,38.11305102930365,37.781551361083984,38.11305102930365,2014
2022-04-25,37.04338073730469,37.04338073730469,36.97660070269317,36.97660070269317,752
2022-04-26,36.261566162109375,37.101209654609455,36.261566162109375,37.101209654609455,4676
2022-04-27,36.69569396972656,36.69569396972656,36.69569396972656,36.69569396972656,1
2022-04-28,37.03230285644531,37.03230285644531,37.03230285644531,37.03230285644531,55
2022-04-29,36.445716857910156,36.445716857910156,36.445716857910156,36.445716857910156,60
2022-05-02,36.37710189819336,36.37710189819336,36.13753413270121,36.13753413270121,272
2022-05-03,36.651268005371094,36.651268005371094,36.651268005371094,36.651268005371094,29
2022-05-04,37.57320785522461,37.57320785522461,36.52300481983785,36.52300481983785,231
2022-05-05,36.156517028808594,36.156517028808594,36.156517028808594,36.156517028808594,164
2022-05-06,35.48166275024414,35.48166275024414,35.48166275024414,35.48166275024414,75
2022-05-09,34.27900695800781,34.27900695800781,34.27900695800781,34.27900695800781,236
2022-05-10,34.421730041503906,34.653489801339795,34.421730041503906,34.653489801339795,365
2022-05-11,34.0737419128418,34.0737419128418,34.0737419128418,34.0737419128418,34
2022-05-12,34.08174514770508,34.08174514770508,33.7283689606315,33.7283689606315,305
2022-05-13,35.112770080566406,35.112770080566406,35.112770080566406,35.112770080566406,10
2022-05-16,34.96012496948242,34.96012496948242,34.96012496948242,34.96012496948242,3
2022-05-17,36.01620864868164,36.01620864868164,35.771339943334084,35.771339943334084,252
2022-05-18,34.95598220825195,35.27013806016833,34.95598220825195,35.27013806016833,120
2022-05-19,35.48850631713867,35.59788132979724,35.48850631713867,35.59788132979724,1825
2022-05-20,35.1959342956543,35.1959342956543,35.1959342956543,35.1959342956543,27
2022-05-23,35.77327346801758,35.77327346801758,35.77327346801758,35.77327346801758,9
2022-05-24,35.61715316772461,35.61715316772461,35.47260523519479,35.47260523519479,643
2022-05-25,35.816444396972656,35.81952496908122,35.809889910016125,35.809889910016125,821
2022-05-26,36.353111267089844,36.400040364815965,36.31003472258455,36.31003472258455,413
2022-05-27,37.179649353027344,37.179649353027344,36.638645009197546,36.67719259800353,428
2022-05-31,36.9529914855957,36.9529914855957,36.9529914855957,36.9529914855957,2
2022-06-01,36.602603912353516,36.602603912353516,36.602603912353516,36.602603912353516,23
2022-06-02,37.76671600341797,37.76671600341797,37.76671600341797,37.76671600341797,19
2022-06-03,37.42518615722656,37.42518615722656,37.42518615722656,37.42518615722656,16
2022-06-06,37.777313232421875,37.777313232421875,37.777313232421875,37.777313232421875,123
2022-06-07,37.89363098144531,37.89363098144531,37.89363098144531,37.89363098144531,12
2022-06-08,37.27225875854492,37.61194882599026,37.27225875854492,37.61194882599026,1063
2022-06-09,36.33450698852539,36.33450698852539,36.33450698852539,36.33450698852539,2
2022-06-10,35.40977478027344,35.40977478027344,35.40977478027344,35.40977478027344,14
2022-06-13,33.78175735473633,33.78175735473633,33.728369346834015,33.728369346834015,274
2022-06-14,33.30474090576172,33.30474090576172,33.12135494564794,33.12135494564794,383
2022-06-15,34.073360443115234,34.073360443115234,34.073360443115234,34.073360443115234,4
2022-06-16,32.698978424072266,32.698978424072266,32.698978424072266,32.698978424072266,114
2022-06-17,33.054569244384766,33.179075078092765,33.054569244384766,33.178111939871044,1086
2022-06-21,33.65956115722656,33.757275577646226,33.65956115722656,33.68018407956035,7601
2022-06-22,33.243350982666016,33.342896094698865,32.957431276484435,32.957431276484435,245
2022-06-23,33.090614318847656,33.090614318847656,33.090614318847656,33.090614318847656,6
2022-06-24,34.13310623168945,34.13310623168945,33.998193349524726,33.998193349524726,250
2022-06-27,34.16250228881836,34.316207404690985,34.16250228881836,34.316207404690985,6631
2022-06-28,33.634220123291016,34.29693280918064,33.634220123291016,34.29693280918064,259
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engine.py
+99 -86
View File
@@ -3,7 +3,8 @@ import requests
import os
import csv
import shutil
from datetime import datetime, time
import time
from datetime import datetime
import yfinance as yf
from ta.trend import EMAIndicator
from ta.momentum import StochasticOscillator
@@ -11,73 +12,64 @@ import math
class DataEngine:
def __init__(self, symbol=None, url=None, provider=None, data_dir='data_cache'):
# 1. Clean the incoming symbol
# 1. Clean and set the symbol
self.symbol = symbol.strip().upper() if symbol else None
self.file_path = f"data_cache/{self.symbol}.csv"
# 2. Setup centralized paths
base_path = os.path.dirname(os.path.abspath(__file__))
self.cache_dir = os.path.join(base_path, data_dir)
os.makedirs(self.cache_dir, exist_ok=True)
# 3. Load the master instrument list to find URLs/Providers
# This ensures the engine knows where to go for special tickers
# 3. Load master instrument list
self.master_instruments = self.load_instruments_from_csv('instruments.csv')
# 4. Find config from master list or use passed-in arguments
instrument_config = next((i for i in self.master_instruments if i['symbol'] == self.symbol), None)
# 4. Resolve Config (Priority: CSV > Arguments > Yahoo Fallback)
config = next((i for i in self.master_instruments if i['symbol'].upper() == self.symbol), None)
if instrument_config:
self.url = instrument_config['url']
self.provider = instrument_config['provider']
else:
# Fallback to arguments if ticker isn't in the CSV list
if config:
self.url = config['url']
self.provider = config['provider']
elif url:
self.url = url
self.provider = provider or 'yahoo'
# 5. Define final file path for centralized storage
if self.symbol:
self.file_path = os.path.join(self.cache_dir, f"{self.symbol}.csv")
elif self.symbol:
# Automatic Fallback for missing tickers
self.url = f"https://query1.finance.yahoo.com/v8/finance/chart/{self.symbol}?interval=1d&range=2y"
self.provider = 'yahoo'
else:
self.file_path = None
self.url = None
self.provider = None
# 5. Define file path and auto-sync
self.file_path = os.path.join(self.cache_dir, f"{self.symbol}.csv") if self.symbol else None
# This now handles the "24-hour check" automatically
if self.symbol:
self.ensure_data()
def ensure_data(self):
"""Checks if file exists; if not, downloads it."""
if os.path.exists(self.file_path):
return True # Data is already there
"""Checks if file exists and is fresh (less than 24h old)."""
CACHE_EXPIRY = 24 * 3600 # 24 hours
if os.path.exists(self.file_path):
# NEW: Check how old the file is
file_age = time.time() - os.path.getmtime(self.file_path)
if file_age < CACHE_EXPIRY:
return True # Data is actually fresh
else:
print(f"DEBUG: {self.symbol} cache is stale ({round(file_age/3600)}h old). Refreshing...")
else:
print(f"DEBUG: {self.symbol} not found in cache. Attempting download...")
try:
# For a generic ticker like SPY, we use yfinance
import yfinance as yf
df = yf.download(self.symbol, period="max")
if df.empty:
print(f"ERROR: No data found for {self.symbol}")
return False
# Clean and save
# 1. If columns are MultiIndex (tuples), take just the first level (the price name)
if isinstance(df.columns, pd.MultiIndex):
df.columns = df.columns.get_level_values(0)
# 2. Reset index to turn 'Date' into a column
df.reset_index(inplace=True)
# 3. Now it is safe to lowercase the column names
df.columns = [str(c).lower() for c in df.columns]
df.to_csv(self.file_path, index=False)
print(f"DEBUG: Successfully cached {self.symbol}")
return True
except Exception as e:
print(f"ERROR: Download failed for {self.symbol}: {e}")
return False
# If we reached here, it means we either have NO file or a STALE file
# Instead of just yfinance, call your specialized fetch_data()
# which uses the URLs from your TEMPLATES
return self.fetch_data()
def load_instruments_from_csv(self, file_path):
instruments = []
# Dynamic templates based on your preference
TEMPLATES = {
'jpm': "https://am.jpmorgan.com/FundsMarketingHandler/historicalData?cusip={cusip}&country=hk&role=per",
'yahoo': "https://query1.finance.yahoo.com/v8/finance/chart/{cusip}?period1=0&period2=9999999999&interval=1d&events=history",
@@ -85,26 +77,22 @@ class DataEngine:
}
try:
# Get absolute path relative to this script
abs_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), file_path)
if not os.path.exists(abs_path):
print(f"Error: Master list {file_path} not found at {abs_path}")
return []
with open(abs_path, mode='r', encoding='utf-8-sig') as csvfile:
reader = csv.DictReader(csvfile)
# Clean header names (lowercase + remove whitespace)
reader.fieldnames = [name.strip().lower() for name in reader.fieldnames]
for row in reader:
# Use .get() with fallback to avoid KeyErrors
symbol = (row.get('symbol') or '').strip().upper()
cusip = (row.get('cusip') or '').strip()
provider = (row.get('provider') or 'jpm').strip().lower()
provider = (row.get('provider') or 'yahoo').strip().lower()
if symbol and cusip:
template = TEMPLATES.get(provider, TEMPLATES['jpm'])
# Build URL from template
template = TEMPLATES.get(provider, TEMPLATES['yahoo'])
url = template.format(cusip=cusip)
instruments.append({
@@ -113,10 +101,8 @@ class DataEngine:
"provider": provider,
"cusip": cusip
})
except Exception as e:
print(f"CRITICAL: Failed to load instruments.csv: {e}")
return instruments
def _ensure_data_exists(self):
@@ -318,56 +304,66 @@ class DataEngine:
def fetch_data(self):
local_df = pd.DataFrame()
new_df = None
CACHE_EXPIRY = 24 * 3600
file_exists = os.path.exists(self.file_path)
# 1. Load Local Cache & Force Date Type
if os.path.exists(self.file_path):
# 1. Load Local Cache & Check Age
needs_refresh = True
if file_exists:
try:
local_df = pd.read_csv(self.file_path)
local_df = local_df.loc[:, ~local_df.columns.duplicated()].copy()
local_df.columns = [c.lower().strip() for c in local_df.columns]
local_df = local_df.rename(columns={'price': 'close', 'nav': 'close'})
# FORCE CONVERSION: This fixes the '<' error
# errors='coerce' turns bad text into NaT (Not a Time), which we then drop
local_df['date'] = pd.to_datetime(local_df['date'], errors='coerce')
local_df = local_df.dropna(subset=['date']).reset_index(drop=True)
file_age = time.time() - os.path.getmtime(self.file_path)
if file_age < CACHE_EXPIRY:
needs_refresh = False
print(f"🚀 Using Cache: {self.symbol} ({round(file_age/3600, 1)}h old).")
except Exception as e:
print(f"Local Load Error: {e}")
print(f"⚠️ Cache read error for {self.symbol}: {e}")
# 2. Network Fetch
if needs_refresh:
try:
if not self.url or str(self.url).lower() == 'none':
print(f"❌ No URL found for {self.symbol}.")
return local_df
print(f"📡 Syncing {self.symbol} from {self.provider}...")
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64)'}
response = requests.get(self.url, headers=headers, timeout=15)
response.raise_for_status()
if self.provider == 'agi':
new_df = self._parse_ft_html(response.text)
if response.status_code == 200:
new_df = None
# --- PROVIDER ROUTING ---
# ROUTING TO PARSERS
if self.provider == 'yahoo':
new_df = self._parse_yahoo(response.json())
elif self.provider == 'jpm':
new_df = self._parse_jpm(response.json())
elif self.provider == 'yahoo':
new_df = self._parse_yahoo(response.json())
elif self.provider in ['agi', 'ft']:
new_df = self._parse_ft_html(response.text)
# 3. Safe Merge & Sort
# --- MERGE & SAVE ---
if new_df is not None and not new_df.empty:
# Force new_df dates to match local_df format
new_df['date'] = pd.to_datetime(new_df['date'], errors='coerce')
combined_df = pd.concat([local_df, new_df], ignore_index=True)
combined_df = combined_df.drop_duplicates(subset=['date'], keep='last')
combined_df = combined_df.sort_values('date').drop_duplicates(subset=['date'], keep='last')
# SORTING: Now safe because all types are Timestamps
combined_df = combined_df.sort_values('date').reset_index(drop=True)
final_df = combined_df.dropna(subset=['date', 'close'])
final_df[['date', 'close']].to_csv(self.file_path, index=False)
if 'close' in combined_df.columns:
final_df = combined_df[['date', 'close']].dropna()
final_df.to_csv(self.file_path, index=False)
print(f"✅ {self.symbol} updated to {final_df['date'].max().date()}")
return final_df
return local_df
else:
print(f"⚠️ Could not parse data for {self.symbol} via {self.provider}")
else:
print(f"⚠️ {self.provider} returned status {response.status_code}")
except Exception as e:
print(f"Network error for {self.symbol}: {e}")
print(f"❌ Sync failed for {self.symbol}: {e}")
return local_df
def get_local_metrics(self):
@@ -393,26 +389,43 @@ class DataEngine:
if df is None or df.empty or len(df) < 2:
return None
last_close = float(df.iloc[-1]['close'])
# Get the last row for price and date
last_row = df.iloc[-1]
last_close = float(last_row['close'])
# 1. Extract and format the date
# Handles both datetime objects and string dates
last_date = last_row['date']
if hasattr(last_date, 'strftime'):
formatted_date = last_date.strftime('%Y-%m-%d')
else:
formatted_date = str(last_date).split(' ')[0] # Fallback for strings
prev_close = float(df.iloc[-2]['close'])
change_pct = ((last_close - prev_close) / prev_close) * 100
count = len(df)
def get_ema_offset(window):
if count >= window:
from ta.trend import EMAIndicator
ema = EMAIndicator(close=df['close'], window=window).ema_indicator().iloc[-1]
return round(((last_close / ema) * 100) - 100, 1)
return "N/A"
k_val = d_val = "N/A"
if count >= 14:
high_14 = df['close'].rolling(window=14).max()
low_14 = df['close'].rolling(window=14).min()
stoch = StochasticOscillator(high=high_14, low=low_14, close=df['close'], window=14)
from ta.momentum import StochasticOscillator
# Use high/low columns if they exist, otherwise fallback to close for Stoch
high_src = df['high'] if 'high' in df.columns else df['close']
low_src = df['low'] if 'low' in df.columns else df['close']
stoch = StochasticOscillator(high=high_src, low=low_src, close=df['close'], window=14)
k_val = round(stoch.stoch().iloc[-1], 0)
d_val = round(stoch.stoch_signal().iloc[-1], 0)
return {
"symbol": self.symbol,
"last_date": formatted_date, # <--- New field added
"last_close": round(last_close, 2),
"change_pct": round(change_pct, 2),
"low_52": round(float(df.tail(252)['close'].min()), 2),
@@ -421,7 +434,7 @@ class DataEngine:
"last_ema50": get_ema_offset(50),
"last_ema100": get_ema_offset(100),
"last_ema200": get_ema_offset(200),
"kd_values": f"{k_val}/{d_val}" if k_val != "N/A" else "N/A"
"kd_values": f"{int(k_val)}/{int(d_val)}" if k_val != "N/A" else "N/A"
}
class StrategyEngine:
instruments.csv
+1 -1
View File
@@ -1,5 +1,5 @@
symbol,cusip,provider
JPMorgan Evergreen Fund,HK0000055829,jpm
JPMorgan Evergreen,HK0000055829,jpm
Allianz Oriental Income Cl A,LU0348783233:USD,agi
SPMO ETF - USD,SPMO,yahoo
JPM Korea,LU0301634860,jpm
1 symbol cusip provider
2 JPMorgan Evergreen Fund JPMorgan Evergreen HK0000055829 jpm
3 Allianz Oriental Income Cl A LU0348783233:USD agi
4 SPMO ETF - USD SPMO yahoo
5 JPM Korea LU0301634860 jpm
templates/index.html
+69 -92
View File
@@ -138,7 +138,7 @@
<thead>
<tr>
<th style="width: 25%;">Instrument</th>
<th style="width: 10%;">Close</th>
<th style="width: 10%;">Date</th> <th style="width: 10%;">Close</th>
<th style="width: 10%;">Chg%</th>
<th style="width: 10%;">52W Range</th> <th style="width: 8%;">20 EMA</th>
<th style="width: 10%;">50 EMA</th>
@@ -159,57 +159,16 @@
console.log("Script block loaded successfully.");
// --- 1. Helper Function for K/D Styling ---
// Defined at the top level so it's ready before loadData runs
function formatKD(val) {
if (!val || val === "N/A" || !val.includes('/')) return `<span class="text-muted">N/A</span>`;
const [k, d] = val.split('/').map(v => parseFloat(v));
let colorClass = 'text-dark'; // Default
if (k >= 80) colorClass = 'text-danger fw-bold'; // Overbought
else if (k <= 20) colorClass = 'text-success fw-bold'; // Oversold
let colorClass = 'text-dark';
if (k >= 80) colorClass = 'text-danger fw-bold';
else if (k <= 20) colorClass = 'text-success fw-bold';
return `<span class="${colorClass}">${val}</span>`;
}
// --- 2. Load Table Data (Fast) ---
async function loadData() {
console.log("Starting loadData...");
const loading = document.getElementById('loading');
const tbody = document.getElementById('tableBody');
if (loading) loading.style.display = 'inline';
try {
const response = await fetch('/api/summary');
const data = await response.json();
tbody.innerHTML = '';
if (!data || data.length === 0) {
tbody.innerHTML = '<tr><td colspan="9" class="p-4">No data found. Please run Sync.</td></tr>';
return;
}
data.forEach(item => {
// 1. GATEKEEPER: Check if the item has an error or is missing data
if (item.error || !item.last_close) {
const errorRow = `
<tr>
<td>${item.symbol || 'Unknown'}</td>
<td colspan="8" class="text-center p-3">
<span class="badge bg-warning text-dark">
<i class="bi bi-exclamation-triangle"></i> Needs Sync
</span>
<small class="text-muted ms-2">Local CSV not found or corrupted.</small>
</td>
</tr>
`;
tbody.innerHTML += errorRow;
return; // This skips the rest of the math and goes to the next fund
}
// --- A. Helper for EMA colors (Your existing code) ---
// --- 2. EMA Formatter ---
const formatEma = (val) => {
if (val === "N/A" || val === null || val === undefined) return `<span class="text-muted">N/A</span>`;
const num = parseFloat(val);
@@ -218,33 +177,71 @@
return `<span class="${colorClass}">${sign}${num.toFixed(1)}%</span>`;
};
// --- B. Calculate 52W Range logic ---
// --- 3. Load Table Data ---
async function loadData() {
console.log("Starting loadData...");
const loading = document.getElementById('loading');
const tbody = document.getElementById('tableBody');
if (loading) loading.style.display = 'inline';
try {
const response = await fetch('/api/summary');
const data = await response.json();
if (!data || data.length === 0) {
tbody.innerHTML = '<tr><td colspan="10" class="p-4">No data found. Please run Sync.</td></tr>';
return;
}
// Get today's date string (YYYY-MM-DD) to check freshness
const todayStr = new Date().toISOString().split('T')[0];
let htmlContent = '';
data.forEach(item => {
// --- 1. Error Row Handling ---
if (item.error || !item.last_close) {
htmlContent += `
<tr>
<td>${item.symbol || 'Unknown'}</td>
<td colspan="9" class="text-center p-3">
<span class="badge bg-warning text-dark"><i class="bi bi-exclamation-triangle"></i> Needs Sync</span>
<small class="text-muted ms-2">Local CSV not found or corrupted.</small>
</td>
</tr>`;
return;
}
let displayDate = "N/A";
if (item.last_date && item.last_date.includes('-')) {
const parts = item.last_date.split('-'); // Splits "2026-01-30" into ["2026", "01", "30"]
displayDate = `${parts[2]}/${parts[1]}`; // Combines into "30/01"
}
// --- 2. Calculations & Styling ---
const current = parseFloat(item.last_close) || 0;
const low = parseFloat(item.low_52) || 0;
const high = parseFloat(item.high_52) || 0;
let rangePct = 0;
if (high > low) {
rangePct = ((current - low) / (high - low)) * 100;
rangePct = Math.min(Math.max(rangePct, 0), 100);
}
// 52W Range Progress Bar
let rangePct = high > low ? Math.min(Math.max(((current - low) / (high - low)) * 100, 0), 100) : 0;
const rangeColor = rangePct > 80 ? 'text-danger' : (rangePct < 20 ? 'text-success' : 'text-muted');
// --- C. Build the Row (Your existing code) ---
const row = `
// Date Freshness check (highlight if date matches today)
const isFresh = item.last_date === todayStr;
const dateStyle = isFresh ? 'badge bg-success-subtle text-success border border-success-subtle' : 'text-muted';
// --- 3. Construct Row ---
htmlContent += `
<tr>
<td>${item.symbol}</td>
<td><span class="${dateStyle}" style="font-size: 0.75rem; padding: 2px 5px; border-radius: 4px;">${displayDate}</span></td>
<td class="fw-bold">${item.last_close}</td>
<td class="${item.change_pct >= 0 ? 'text-up' : 'text-down'}">
${item.change_pct >= 0 ? '+' : ''}${item.change_pct}%
</td>
<td class="${rangeColor} small">
<div class="d-flex justify-content-between mb-1" style="min-width: 100px;">
<span>${item.low_52}</span>
<span>${item.high_52}</span>
<div class="d-flex justify-content-between mb-1" style="min-width: 100px; font-size: 0.7rem;">
<span>${item.low_52}</span><span>${item.high_52}</span>
</div>
<div class="progress" style="height: 5px;">
<div class="progress" style="height: 4px;">
<div class="progress-bar bg-primary" style="width: ${rangePct}%"></div>
</div>
</td>
@@ -253,23 +250,24 @@
<td>${formatEma(item.last_ema100)}</td>
<td>${formatEma(item.last_ema200)}</td>
<td>${formatKD(item.kd_values)}</td>
</tr>
`;
tbody.innerHTML += row;
</tr>`;
});
// Batch update the DOM once
tbody.innerHTML = htmlContent;
} catch (error) {
console.error("Fetch error:", error);
tbody.innerHTML = '<tr><td colspan="9" class="text-danger p-4">Error loading local data. Check Console.</td></tr>';
tbody.innerHTML = '<tr><td colspan="10" class="text-danger p-4">Error loading summary. Check server logs.</td></tr>';
} finally {
if (loading) loading.style.display = 'none';
}
}
// --- 3. Run Global Sync (Slow) ---
// --- 4. Global Sync ---
async function runGlobalSync() {
const syncBtn = document.getElementById('syncBtn');
const loading = document.getElementById('loading');
if (!syncBtn) return;
syncBtn.disabled = true;
@@ -279,13 +277,12 @@
try {
const response = await fetch('/api/sync', { method: 'POST' });
if (!response.ok) throw new Error("Server error during sync");
await loadData(); // Reload table after sync
alert("Sync Complete! Data updated.");
if (!response.ok) throw new Error("Sync failed");
await loadData();
alert("Sync Complete!");
} catch (error) {
console.error("Sync error:", error);
alert("Sync failed. Check terminal for Python errors.");
alert("Sync failed. Check terminal.");
} finally {
syncBtn.disabled = false;
syncBtn.innerHTML = originalText;
@@ -293,28 +290,8 @@
}
}
// --- 4. Initial Trigger ---
window.onload = function() {
loadData();
};
scales: {
y: {
ticks: {
callback: function(value) {
return '$' + value.toLocaleString();
}
}
}
}
const vaROI = ((last.va_value - last.va_invested) / last.va_invested * 100).toFixed(2);
const dcaROI = ((last.dca_value - last.dca_invested) / last.dca_invested * 100).toFixed(2);
summaryText.innerHTML = `
<div class="row text-center">
<div class="col"><strong>VA ROI:</strong> ${vaROI}%</div>
<div class="col"><strong>DCA ROI:</strong> ${dcaROI}%</div>
</div>
`;
// --- 5. Initial Load ---
window.addEventListener('load', loadData);
</script>
</body>
templates/val_avg_cal.html
+63 -31
View File
@@ -98,7 +98,7 @@
<div class="col-md-4">
<div class="card p-3 text-center border-primary h-100">
<h6 class="text-muted text-uppercase small">Next Recommended Move</h6>
<h6 class="text-muted text-uppercase small">Next Payment Estimates</h6>
<h2 id="nextInvAmt" class="fw-bold mb-1">$0.00</h2>
<div class="small text-muted mb-2">
Price: <span id="latestPriceDisplay" class="fw-bold text-dark">$0.00</span>
@@ -192,8 +192,8 @@
symbol: el.symbol.value.trim().toUpperCase(),
initial_inv: parseFloat(el.initial.value) || 0,
monthly_target: parseFloat(el.monthly.value) || 0,
startDate: el.date.value, // Match backend's preferred key
frequency: el.freq.value, // <--- CRITICAL: MUST BE SENT
startDate: el.date.value,
frequency: el.freq.value,
allow_sell: el.sell.checked,
allow_fractional: el.frac.checked
};
@@ -207,13 +207,13 @@
el.btn.disabled = true;
el.btn.innerHTML = '<span class="spinner-border spinner-border-sm"></span> Loading...';
const res = await fetch('/api/backtest', {
// We add ?t= + timestamp to the URL to bypass browser caching
const res = await fetch(`/api/backtest?t=${new Date().getTime()}`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(payload)
});
// Parse response to check for specific Python errors
const data = await res.json();
if (!res.ok) {
@@ -247,40 +247,72 @@
*/
function updateKPIs(data, monthlyTarget) {
if (!data || data.length === 0) return;
const last = data[data.length - 1];
// Helper function to update text ONLY if the element exists
const safeUpdate = (id, value) => {
// 1. Data Extraction (defined once to avoid VS Code red errors)
const latestPrice = last.price || 0;
const latestDate = last.date || "N/A";
const nextMoveAmt = last.va_diff || 0;
const sharesToMove = last.va_shares_trans || 0;
const isNeg = nextMoveAmt < 0;
const isPos = nextMoveAmt > 0;
// 2. Helper for standard KPI cards
const setUI = (id, val) => {
const el = document.getElementById(id);
if (el) {
el.innerText = value;
} else {
console.warn(`KPI Error: Element with ID '${id}' not found in HTML.`);
}
if (el) el.innerText = val;
};
// 1. Format the values from the Python response
const targetVal = (last.va_target_value || 0).toLocaleString(undefined, {minimumFractionDigits: 2});
const investedVal = (last.va_invested || 0).toLocaleString(undefined, {minimumFractionDigits: 2});
const marketVal = (last.va_value || 0).toLocaleString(undefined, {minimumFractionDigits: 2});
// Update the main 3 cards
setUI('targetValueCard', `$${(last.va_target_value || 0).toLocaleString(undefined, {minimumFractionDigits: 2})}`);
setUI('totalSaved', `$${(last.va_invested || 0).toLocaleString(undefined, {minimumFractionDigits: 2})}`);
setUI('totalVal', `$${(last.va_value || 0).toLocaleString(undefined, {minimumFractionDigits: 2})}`);
// 2. Push to the UI using the IDs defined in the HTML above
safeUpdate('targetValueCard', `$${targetVal}`);
safeUpdate('totalSaved', `$${investedVal}`);
safeUpdate('totalVal', `$${marketVal}`);
// 3. Update the Recommendation Card (Next Move)
const nextMove = last.va_diff || 0;
const nextAmtEl = document.getElementById('nextInvAmt');
if (nextAmtEl) {
nextAmtEl.innerText = (nextMove >= 0 ? "+" : "") + "$" + Math.abs(nextMove).toLocaleString();
nextAmtEl.className = nextMove >= 0 ? "fw-bold text-success" : "fw-bold text-danger";
// 3. Recommendation Card Logic (Background & Border)
const recommendationCard = document.getElementById('nextMoveCard');
if (recommendationCard) {
if (isNeg) {
recommendationCard.style.backgroundColor = "#fff5f5"; // Light Red
recommendationCard.style.border = "2px solid #feb2b2";
} else if (isPos) {
recommendationCard.style.backgroundColor = "#f0fff4"; // Light Green
recommendationCard.style.border = "2px solid #9ae6b4";
} else {
recommendationCard.style.backgroundColor = "#ffffff";
recommendationCard.style.border = "1px solid #dee2e6";
}
}
// 4. Update Move Amount & Color
const amtEl = document.getElementById('nextInvAmt');
if (amtEl) {
amtEl.innerText = `${isNeg ? '-' : '+'}$${Math.abs(nextMoveAmt).toLocaleString(undefined, {minimumFractionDigits: 2})}`;
amtEl.className = isNeg ? "fw-bold text-danger display-6" : "fw-bold text-success display-6";
}
// 5. Update Action Message (Verb + Units)
const msgEl = document.getElementById('nextInvMsg');
if (msgEl) {
const verb = isNeg ? "Sell" : "Buy";
const colorClass = isNeg ? "text-danger" : "text-success";
msgEl.innerHTML = `<span class="${colorClass} fw-bold">${verb}</span> <strong>${Math.abs(sharesToMove).toFixed(4)}</strong> units`;
}
// 6. Update Footer Labels (Price & Date)
const priceDisplay = document.getElementById('latestPriceDisplay');
if (priceDisplay) {
priceDisplay.innerText = `$${latestPrice.toLocaleString(undefined, {minimumFractionDigits: 2})}`;
}
const dateDisplay = document.getElementById('priceDateLabel');
if (dateDisplay) {
dateDisplay.innerText = latestDate;
}
// Optional: Sync Badge
if (typeof updateSyncBadge === "function") updateSyncBadge(latestDate);
}
/**
* Updates a visual badge showing if data is fresh or stale
*/
function updateSyncBadge(dateString) {
const syncDateEl = document.getElementById('lastSyncDate');
const syncBadge = document.getElementById('syncBadge');