fixed lint errors
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@@ -74,8 +74,8 @@ def compute_adx(
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plus_dm: list[float] = []
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minus_dm: list[float] = []
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for i in range(1, n):
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h, l, pc = highs[i], lows[i], closes[i - 1]
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tr_list.append(max(h - l, abs(h - pc), abs(l - pc)))
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h, low_val, pc = highs[i], lows[i], closes[i - 1]
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tr_list.append(max(h - low_val, abs(h - pc), abs(low_val - pc)))
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up = highs[i] - highs[i - 1]
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down = lows[i - 1] - lows[i]
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plus_dm.append(up if up > down and up > 0 else 0.0)
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@@ -208,8 +208,8 @@ def compute_atr(
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tr_list: list[float] = []
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for i in range(1, n):
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h, l, pc = highs[i], lows[i], closes[i - 1]
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tr_list.append(max(h - l, abs(h - pc), abs(l - pc)))
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h, low_val, pc = highs[i], lows[i], closes[i - 1]
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tr_list.append(max(h - low_val, abs(h - pc), abs(low_val - pc)))
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# Wilder smoothing
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atr = sum(tr_list[:period]) / period
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@@ -237,7 +237,7 @@ def cluster_sr_zones(
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for level in sorted_levels[1:]:
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# Compute current cluster midpoint
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prices = [l["price_level"] for l in current_cluster]
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prices = [lvl["price_level"] for lvl in current_cluster]
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cluster_low = min(prices)
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cluster_high = max(prices)
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cluster_mid = (cluster_low + cluster_high) / 2.0
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@@ -259,11 +259,11 @@ def cluster_sr_zones(
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# 3. Compute zone for each cluster
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zones: list[dict] = []
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for cluster in clusters:
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prices = [l["price_level"] for l in cluster]
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prices = [lvl["price_level"] for lvl in cluster]
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low = min(prices)
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high = max(prices)
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midpoint = (low + high) / 2.0
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strength = min(100, sum(l["strength"] for l in cluster))
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strength = min(100, sum(lvl["strength"] for lvl in cluster))
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level_count = len(cluster)
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# 4. Tag zone type
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