//@version=5
strategy("SLC Strategy (Structure, Level, Confirmation)", overlay=true, initial_capital=10000, default_qty_type=strategy.percent_of_equity, default_qty_value=10)

// --- Inputs ---
htf_res = input.timeframe("240", "HTF Structure Timeframe (S)")
atr_len = input.int(14, "ATR Length for S&D Zones")
mult = input.float(1.5, "ATR Multiplier for Aggressive Move")
stoch_k = input.int(14, "Stochastic %K Length (C)")
stoch_d = input.int(3, "Stochastic %D Smoothing")
stoch_smooth = input.int(3, "Stochastic %K Smoothing")
stoch_upper = input.int(80, "Stochastic Upper Level")
stoch_lower = input.int(20, "Stochastic Lower Level")
rr_ratio = input.float(2.0, "Risk-to-Reward Ratio")

// --- Step 1: Structure (S) on HTF ---
// Use lookahead=barmerge.lookahead_off to prevent historical backtest cheating
htf_close = request.security(syminfo.tickerid, htf_res, close[1], barmerge.gaps_off, barmerge.lookahead_off)
htf_ema = request.security(syminfo.tickerid, htf_res, ta.ema(close, 50)[1], barmerge.gaps_off, barmerge.lookahead_off)

is_bullish_htf = htf_close > htf_ema
is_bearish_htf = htf_close < htf_ema

// --- Step 2: Level (L) - Supply & Demand on LTF ---
atr = ta.atr(atr_len)
body = math.abs(close - open)
is_aggressive_up = (close > open) and (body > atr * mult)
is_aggressive_down = (close < open) and (body > atr * mult)

var float supply_high = na
var float supply_low = na
var float demand_high = na
var float demand_low = na

// Supply Level: Last bullish candle before aggressive move down
if is_aggressive_down and (close[1] > open[1])
    supply_high := high[1]
    supply_low := low[1]

// Demand Level: Last bearish candle before aggressive move up
if is_aggressive_up and (close[1] < open[1])
    demand_high := high[1]
    demand_low := low[1]

// Check if price is within levels
in_supply = (high >= supply_low) and (low <= supply_high)
in_demand = (low <= demand_high) and (high >= demand_low)

// --- Step 3: Confirmation (C) - Stochastic ---
stoch_raw = ta.stoch(close, high, low, stoch_k)
stoch_k_val = ta.sma(stoch_raw, stoch_smooth)
stoch_d_val = ta.sma(stoch_k_val, stoch_d)

stoch_cross_down = ta.crossunder(stoch_k_val, stoch_upper)
stoch_cross_up = ta.crossover(stoch_k_val, stoch_lower)

// --- Strategy Rules and Order Execution ---
long_cond = is_bullish_htf and in_demand and stoch_cross_up and strategy.position_size == 0
short_cond = is_bearish_htf and in_supply and stoch_cross_down and strategy.position_size == 0

var float entry_price = na
var float stop_loss = na
var float take_profit = na

if long_cond
    entry_price := close
    stop_loss := demand_low
    take_profit := entry_price + (entry_price - stop_loss) * rr_ratio
    strategy.entry("Long", strategy.long)
    strategy.exit("Exit Long", "Long", stop=stop_loss, limit=take_profit)

if short_cond
    entry_price := close
    stop_loss := supply_high
    take_profit := entry_price - (stop_loss - entry_price) * rr_ratio
    strategy.entry("Short", strategy.short)
    strategy.exit("Exit Short", "Short", stop=stop_loss, limit=take_profit)

// Reset state values once positions are hit
if strategy.position_size == 0
    entry_price := na
    stop_loss := na
    take_profit := na

// --- Visualizing Supply & Demand Zones ---
plot(supply_high, "Supply High", color=color.red, linewidth=1)
plot(supply_low, "Supply Low", color=color.red, linewidth=1)
plot(demand_high, "Demand High", color=color.green, linewidth=1)
plot(demand_low, "Demand Low", color=color.green, linewidth=1)