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app.py

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+import gradio as gr
+import yfinance as yf
+import pandas as pd
+import numpy as np
+
+def ema(s, n):
+    return s.ewm(span=int(n), adjust=False).mean()
+
+def rsi(s, n=9):
+    d=s.diff()
+    up=d.clip(lower=0).ewm(alpha=1/n, adjust=False).mean()
+    dn=(-d.clip(upper=0)).ewm(alpha=1/n, adjust=False).mean()
+    rs=up/dn.replace(0,np.nan)
+    return 100-100/(1+rs)
+
+def analyze(ticker, interval, period, module):
+    try:
+        df=yf.download(ticker, period=period, interval=interval,
+                       auto_adjust=False, progress=False, threads=False)
+        if df is None or df.empty:
+            return "Yahoo Finance veri döndürmedi. Sembol veya zaman aralığını kontrol edin.", None
+        if isinstance(df.columns, pd.MultiIndex):
+            df.columns=df.columns.get_level_values(0)
+        df=df.rename(columns=str.title)
+        need={"Open","High","Low","Close"}
+        if not need.issubset(df.columns):
+            return f"OHLC sütunları bulunamadı: {list(df.columns)}", None
+        c=df["Close"]
+        df["MACD"]=ema(c,8)-ema(c,17)
+        df["MACD_Signal"]=ema(df["MACD"],9)
+        df["RSI_9"]=rsi(c,9)
+        tp=(df["High"]+df["Low"]+c)/3
+        mean=tp.rolling(13).mean()
+        mad=tp.rolling(13).apply(lambda x: np.mean(np.abs(x-np.mean(x))),raw=True)
+        df["CCI_13"]=(tp-mean)/(0.015*mad.replace(0,np.nan))
+        ll=df["Low"].rolling(5).min()
+        hh=df["High"].rolling(5).max()
+        df["Stoch_K"]=100*(c-ll)/(hh-ll).replace(0,np.nan)
+        df["Stoch_D"]=df["Stoch_K"].rolling(3).mean()
+        df["EMA_5"]=ema(c,5)
+        df["EMA_9"]=ema(c,9)
+        bullish=(df["MACD"]>df["MACD_Signal"]) & (df["EMA_5"]>df["EMA_9"])
+        bearish=(df["MACD"]<df["MACD_Signal"]) & (df["EMA_5"]<df["EMA_9"])
+        df["Signal"]=np.select([bullish,bearish],["BUY","SELL"],default="HOLD")
+        last=df.iloc[-1]
+        # EA module's visible initial-entry logic uses candle direction and H1 RSI(14) guard.
+        h1=yf.download(ticker,period="60d",interval="1h",auto_adjust=False,progress=False,threads=False)
+        if isinstance(h1.columns,pd.MultiIndex): h1.columns=h1.columns.get_level_values(0)
+        h1rsi=rsi(h1["Close"],14).iloc[-2] if h1 is not None and len(h1)>15 else np.nan
+        candle="BUY bias" if len(df)>2 and df["Close"].iloc[-2] > df["Close"].iloc[-3] else "SELL bias"
+        if module=="EA entry filter":
+            signal=("BUY condition" if candle=="BUY bias" and h1rsi>30 else
+                    "SELL condition" if candle=="SELL bias" and h1rsi<70 else "No entry condition")
+        else:
+            signal=str(last["Signal"])
+        report=(f"## {ticker} · {interval}\\n"
+                f"**Last close:** {float(last['Close']):.6g}  \\n"
+                f"**Selected view:** {signal}  \\n"
+                f"**EA-style candle filter:** {candle} · H1 RSI(14): {h1rsi:.2f}  \\n"
+                f"**MACD(8,17,9):** {last['MACD']:.6g} / signal {last['MACD_Signal']:.6g}  \\n"
+                f"**RSI(9):** {last['RSI_9']:.2f} · **CCI(13):** {last['CCI_13']:.2f}  \\n"
+                f"**Stochastic(5,3,3):** K {last['Stoch_K']:.2f} / D {last['Stoch_D']:.2f}\\n\\n"
+                f"Data source: Yahoo Finance via yfinance. Indicators are a research approximation; "
+                f"this app does not execute trades and is not a verified full EA port.")
+        cols=["Open","High","Low","Close"]+[x for x in ["Volume","MACD","MACD_Signal","RSI_9","CCI_13","Stoch_K","Stoch_D","EMA_5","EMA_9","Signal"] if x in df]
+        out=df[cols].tail(100).copy().reset_index()
+        return report,out
+    except Exception as e:
+        return f"Veri alınamadı: {e}",None
+
+with gr.Blocks(title="AF Global Expert — Python Terminal",theme=gr.themes.Soft()) as demo:
+    gr.Markdown("# AF Global Expert · Python Terminal")
+    gr.Markdown("Yahoo Finance üzerinden OHLC verisi çeker. **Orijinal EA'nın birebir kopyası değildir; canlı emir göndermez.**")
+    with gr.Row():
+        ticker=gr.Textbox(label="Yahoo sembolü",value="EURUSD=X")
+        interval=gr.Dropdown(["1m","2m","5m","15m","30m","60m","1h","90m","1d","1wk"],value="1h",label="Zaman dilimi")
+        period=gr.Dropdown(["1d","5d","1mo","3mo","6mo","1y","2y","5y"],value="1y",label="Geçmiş")
+    module=gr.Radio(["İndikatör özeti","EA entry filter"],value="EA entry filter",label="Analiz modu")
+    btn=gr.Button("Yahoo Finance'tan veriyi çek ve analiz et",variant="primary")
+    result=gr.Markdown()
+    table=gr.Dataframe(label="Son 100 mum",interactive=False)
+    btn.click(analyze,[ticker,interval,period,module],[result,table])
+demo.launch()

requirements.txt

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+gradio>=4.44
+yfinance>=0.2.65
+pandas>=2.0
+numpy>=1.24