# Get your dedicated static IPv6 + SOCKS5 credentials free:
#   https://comm.servloci.in/register        (or /auth/google?free=1 for an instant trial)
# Your api_key / api_secret pair shows up in the portal after signup:
#   https://comm.servloci.in/user
!pip install -q "requests[socks]"
!curl -sL https://comm.servloci.in/sdk/servloci.py -o servloci.py

import os
from servloci import ServLoci

SERVLOCI_API_KEY = os.environ.get("SERVLOCI_API_KEY", "dhan:1000000001")   # broker:client_id
SERVLOCI_API_SECRET = os.environ.get("SERVLOCI_API_SECRET", "")            # from the portal — leave blank to run this notebook in demo mode

sl = None
if SERVLOCI_API_SECRET:
    sl = ServLoci(api_key=SERVLOCI_API_KEY, api_secret=SERVLOCI_API_SECRET)
    print("ServLoci configured:", sl.host, sl.port)
else:
    print("SERVLOCI_API_SECRET not set — running in demo mode (no live proxy calls).")

def position_size(capital, risk_pct, max_loss_per_lot):
    """How many lots keep max loss within risk_pct of capital."""
    if max_loss_per_lot <= 0:
        return 0
    return max(int((capital * risk_pct) // max_loss_per_lot), 0)

capital = 500_000
risk_pct = 0.02  # risk 2% of capital per trade
max_loss_per_lot = 4500  # from max_profit_loss()["maxLoss"] for one lot, notebooks 07/10

lots = position_size(capital, risk_pct, abs(max_loss_per_lot))
print(f"Capital Rs.{capital:,} at {risk_pct:.0%} risk -> {lots} lot(s), max loss Rs.{lots * abs(max_loss_per_lot):,}")

def guard_max_loss(strategy_max_loss, capital, hard_cap_pct=0.05):
    if abs(strategy_max_loss) > capital * hard_cap_pct:
        raise ValueError(f"strategy max loss {strategy_max_loss} exceeds hard cap {capital * hard_cap_pct}")
    return True

guard_max_loss(lots * abs(max_loss_per_lot), capital)

Position Sizing & Risk Management¶

Setup¶