build 053: remove unused legacy market indicators

app/src/trading/market_analysis/indicators_legacy.py

@@ -1,67 +0,0 @@
-# app/src/trading/market_analysis/indicators.py
-
-from __future__ import annotations
-
-from src.integrations.exchange.models import Kline
-
-
-def ema(values: list[float], period: int) -> float | None:
-    if period <= 0 or len(values) < period:
-        return None
-
-    multiplier = 2 / (period + 1)
-    current = sum(values[:period]) / period
-
-    for value in values[period:]:
-        current = (value - current) * multiplier + current
-
-    return current
-
-
-def atr(candles: list[Kline], period: int = 14) -> float | None:
-    if period <= 0 or len(candles) < period + 1:
-        return None
-
-    true_ranges: list[float] = []
-
-    for previous, current in zip(candles, candles[1:]):
-        high_low = current.high_price - current.low_price
-        high_close = abs(current.high_price - previous.close_price)
-        low_close = abs(current.low_price - previous.close_price)
-
-        true_ranges.append(max(high_low, high_close, low_close))
-
-    if len(true_ranges) < period:
-        return None
-
-    recent = true_ranges[-period:]
-    return sum(recent) / period
-
-
-def rsi(values: list[float], period: int = 14) -> float | None:
-    if period <= 0 or len(values) < period + 1:
-        return None
-
-    gains: list[float] = []
-    losses: list[float] = []
-
-    recent = values[-(period + 1):]
-
-    for previous, current in zip(recent, recent[1:]):
-        change = current - previous
-
-        if change > 0:
-            gains.append(change)
-            losses.append(0.0)
-        else:
-            gains.append(0.0)
-            losses.append(abs(change))
-
-    average_gain = sum(gains) / period
-    average_loss = sum(losses) / period
-
-    if average_loss == 0:
-        return 100.0
-
-    rs = average_gain / average_loss
-    return 100 - (100 / (1 + rs))