The Following Strategy will Adapt to changing market conditions using both trend analysis and volatility measurements to inform trade decisions.

Risk Management: Incorporates measures of market volatility into trade decision processes, although explicit risk management tactics (e.g., position sizing, stop-loss orders) are not detailed within the provided summary.

Theoretical Pricing: Utilizes the Black-Scholes model for option valuation, aiding in the identification of potentially mispriced options, though the direct application of this pricing within the trade execution process is implied rather than explicitly defined.

Code
#include <contract.h>

// Initialize global variables for storing price and volatility data
vars PriceClose, VolatilityEMA;

void init() {
  assetList("AssetsIB");
  BarPeriod = 60;
  LookBack = 100;
  StartDate = 2020;
  EndDate = 2024;
  
  PriceClose = series(priceClose());
  initFuzzyLogicSettings();
  calculateEMAVolatility(20); // Initialize volatility calculation
}

void initFuzzyLogicSettings() {
  FuzzyRange = 0.05; // Adjust based on backtesting
}

void calculateEMAVolatility(int period) {
  vars ATRValues = series(ATR(period));
  VolatilityEMA = series(EMA(ATRValues, period));
}

// Cumulative Normal Distribution Function for use in Black-Scholes Model
var CNDF(var x) {
  int neg = (x < 0.0) ? 1 : 0;
  if (neg) x = -x;
  
  var k = (1.0 / ( 1.0 + 0.2316419 * x));
  var y = (((1.330274429 * k - 1.821255978) * k + 1.781477937) *
           k - 0.356563782) * k + 0.319381530;
  y = 1.0 - 0.398942280401 * exp(-0.5 * x * x) * y;
  
  return (1.0 - neg) * y + neg * (1.0 - y);
}

// Black-Scholes Option Pricing Model
var BlackScholes(char *CallPutFlag, var S, var X, var T, var r, var v) {
  var d1, d2;
  d1 = (log(S / X) + (r + 0.5 * v * v) * T) / (v * sqrt(T));
  d2 = d1 - v * sqrt(T);
  
  if (CallPutFlag[0] == 'c' || CallPutFlag[0] == 'C') {
    return S * CNDF(d1) - X * exp(-r * T) * CNDF(d2);
  } else {
    return X * exp(-r * T) * CNDF(-d2) - S * CNDF(-d1);
  }
}

bool fuzzyEntryCondition() {
  return risingF(PriceClose) > 0.5 && VolatilityEMA[0] < 0.2;
}

bool fuzzyExitCondition() {
  return fallingF(PriceClose) > 0.5 || VolatilityEMA[0] > 0.3;
}

void tradeOptions() {
  CONTRACT* CallContract;
  CONTRACT* PutContract;
  var strikePrice = round(priceClose(0),100); // Example for rounding to nearest hundred
  var expirationDays = 30; // Targeting options 30 days to expiration

  if (fuzzyEntryCondition()) {
    // Prepare to trade a call option
    CallContract = contractFind("Call", strikePrice, wdate() + expirationDays * 86400);
    if(CallContract) {
      // Buy the call option
      combo(CallContract, 1, 0, 0, 0, 0, 0, 0);
      enterLong(comboLeg(1));
    }
  } else if (fuzzyExitCondition()) {
    // Prepare to trade a put option
    PutContract = contractFind("Put", strikePrice, wdate() + expirationDays * 86400);
    if(PutContract) {
      // Buy the put option
      combo(0, 0, PutContract, 1, 0, 0, 0, 0);
      enterLong(comboLeg(2));
    }
  }
}

void main() {
  init();
  while(asset(loop("Assets"))) {
    if (is(EXITRUN)) continue;
    tradeOptions(); // Execute the option trading logic based on market conditions
  }
}


ZorroTraderGPT - https://bit.ly/3Gbsm4S