Initial commit: Touch & Turn Scalping Bot with fully automated execution, backtesting, and ISA screening

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pie
2026-04-22 21:19:33 +01:00
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import os
import time
import logging
import pytz
import threading
import csv
from datetime import datetime, time as dtime
from dotenv import load_dotenv
from src.api.client import Trading212Client
from src.strategy.touch_turn import TouchTurnStrategy
from src.execution.manager import ExecutionManager
from scripts.find_isa_candidates import find_best_isa_tickers
from scripts.backtest import backtest_ticker
# Ensure logs directory exists
os.makedirs("logs", exist_ok=True)
log_filename = datetime.now().strftime("logs/bot_%Y-%m-%d.log")
# Configure logging to both console and file
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s [%(threadName)s] %(levelname)s - %(message)s',
handlers=[
logging.FileHandler(log_filename),
logging.StreamHandler()
]
)
logger = logging.getLogger(__name__)
PNL_FILE = "pnl_tracking.csv"
def record_pnl(ticker, direction, entry_price, exit_price, reason, pnl_r):
"""Appends the result of a closed trade to the PnL CSV."""
file_exists = os.path.isfile(PNL_FILE)
with open(PNL_FILE, mode='a', newline='') as file:
writer = csv.writer(file)
if not file_exists:
writer.writerow(["Date", "Ticker", "Direction", "Entry Price", "Exit Price", "Reason", "PnL (R)"])
today = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
writer.writerow([today, ticker, direction, round(entry_price, 2), round(exit_price, 2), reason, round(pnl_r, 2)])
logger.info(f"Recorded trade in {PNL_FILE}: {ticker} {direction} | Result: {reason} | PnL: {pnl_r:.2f} R")
def calculate_r_multiple(direction, entry_price, exit_price, stop_loss):
"""Calculates the PnL in terms of Risk Multiples (R)."""
if direction == "BUY": # LONG
risk = entry_price - stop_loss
return (exit_price - entry_price) / risk if risk != 0 else 0
else: # SHORT
risk = stop_loss - entry_price
return (entry_price - exit_price) / risk if risk != 0 else 0
def run_ticker_lifecycle(client, yf_ticker, t212_ticker, tz):
"""Handles the full strategy lifecycle for a single ticker in its own thread, then exits."""
strategy = TouchTurnStrategy(yf_ticker)
execution = ExecutionManager(client)
logger.info(f"Bot thread started for {yf_ticker} ({t212_ticker}).")
now = datetime.now(tz)
target_entry_time = now.replace(hour=9, minute=45, second=0, microsecond=0)
# 1. Wait until 09:45 EST
if now < target_entry_time:
wait_seconds = (target_entry_time - now).total_seconds()
logger.info(f"Waiting {wait_seconds:.0f} seconds until 09:45 EST evaluation...")
time.sleep(wait_seconds)
# Re-evaluate current time
now = datetime.now(tz)
if now.hour == 9 and now.minute >= 45:
logger.info(f"Evaluating opening candle for {yf_ticker}...")
if strategy.check_setup():
params = strategy.get_trade_params()
params['ticker'] = t212_ticker
# Fetch Account Balance to calculate risk
try:
account_info = client.get_account_info()
virtual_balance = float(os.getenv("VIRTUAL_STARTING_BALANCE", 0))
if virtual_balance > 0:
risk_amount = virtual_balance * 0.01
else:
available_cash = account_info.get('cash', {}).get('availableToTrade', 1000)
risk_amount = available_cash * 0.01
except Exception as e:
logger.error(f"Failed to fetch account info for risk calculation: {e}. Defaulting to £2.50 risk.")
risk_amount = 2.50
if execution.execute_trade(params, target_risk_amount=risk_amount):
# monitor_and_bracket is blocking, wait for fill (times out at 11:00)
if execution.monitor_and_bracket(params):
# Position is open, monitor for exit via SL/TP
while datetime.now(tz).hour < 11:
is_closed, reason, exit_price = execution.check_exit_status()
if is_closed:
pnl_r = calculate_r_multiple(params['direction'], params['entry_price'], exit_price, params['stop_loss'])
record_pnl(yf_ticker, params['direction'], params['entry_price'], exit_price, reason, pnl_r)
break # Exit the monitoring loop
time.sleep(15)
else:
logger.info(f"No valid setup today for {yf_ticker}. Thread exiting.")
return
# 2. Wait until 11:00 EST for Forced Exit (if we are still in a position or have pending orders)
now = datetime.now(tz)
target_exit_time = now.replace(hour=11, minute=0, second=0, microsecond=0)
if now < target_exit_time and execution.is_in_position:
wait_seconds = (target_exit_time - now).total_seconds()
logger.info(f"Waiting {wait_seconds:.0f} seconds until 11:00 EST forced exit...")
time.sleep(wait_seconds)
# 3. 11:00 EST - Cleanup
logger.info(f"Time exit reached for {yf_ticker}. Cleaning up.")
if execution.is_in_position:
exit_price = execution.close_all(t212_ticker)
if hasattr(execution, 'params') and exit_price > 0:
pnl_r = calculate_r_multiple(execution.params['direction'], execution.params['entry_price'], exit_price, execution.params['stop_loss'])
record_pnl(yf_ticker, execution.params['direction'], execution.params['entry_price'], exit_price, "11:00 Time Exit", pnl_r)
else:
# Cleanup any pending orders if entry wasn't filled
execution.close_all(t212_ticker)
logger.info(f"Lifecycle complete for {yf_ticker}. Thread exiting.")
def main():
load_dotenv()
api_key_id = os.getenv("TRADING212_API_KEY_ID")
api_key = os.getenv("TRADING212_API_KEY")
base_url = os.getenv("TRADING212_BASE_URL", "https://demo.trading212.com/api/v0/")
tz = pytz.timezone('US/Eastern')
now = datetime.now(tz)
# Safety Guard: Check if it's a weekend
if now.weekday() >= 5: # 5 = Saturday, 6 = Sunday
logger.warning("Weekend detected. The market is closed. Exiting cleanly.")
return
# Safety Guard: Check if executed outside the expected morning window (allow 09:00 to 09:40 EST)
if now.hour < 9 or (now.hour == 9 and now.minute > 40) or now.hour >= 10:
logger.warning(f"Bot executed at {now.strftime('%H:%M')} EST. Expected launch window is 09:00 - 09:40 EST. Exiting cleanly.")
return
if not api_key_id or not api_key:
logger.error("API credentials not found in .env")
return
client = Trading212Client(api_key_id, api_key, base_url)
# 1. Morning Routine: Find Candidates
logger.info("Starting Morning Routine: Finding ISA Candidates...")
candidates_df = find_best_isa_tickers()
if candidates_df is None or candidates_df.empty:
logger.error("No candidates found. Exiting.")
return
# 2. Morning Routine: Backtest Candidates to find the 'Edge'
logger.info("Running Backtests on candidates to find current winners...")
profitable_tickers = []
# We'll test the top 10 candidates from the scanner
for _, row in candidates_df.head(10).iterrows():
yf_t = row['Ticker']
t212_t = row['T212_Ticker']
res = backtest_ticker(yf_t, quiet=True)
if res and res['Net PnL (R)'] > 0:
profitable_tickers.append({
'yf': yf_t,
't212': t212_t,
'pnl': res['Net PnL (R)']
})
# Sort by best backtest performance
profitable_tickers.sort(key=lambda x: x['pnl'], reverse=True)
# Select Top 3
final_watchlist = profitable_tickers[:3]
if not final_watchlist:
logger.warning("No tickers showed a positive backtest return. Bot will not trade today.")
return
logger.info(f"Final Watchlist for today: {[t['yf'] for t in final_watchlist]}")
# 3. Launch execution threads
threads = []
for ticker_info in final_watchlist:
t = threading.Thread(
target=run_ticker_lifecycle,
args=(client, ticker_info['yf'], ticker_info['t212'], tz),
name=f"Bot-{ticker_info['yf']}"
)
t.start()
threads.append(t)
logger.info("All execution threads launched. Waiting for completion...")
for t in threads:
t.join()
logger.info("All threads completed. Bot shutting down for the day.")
if __name__ == "__main__":
main()