Update app.py

app.py

@@ -483,604 +483,606 @@ if 'data' in st.session_state:
     data = st.session_state['data']
     
     # Moving average method selection
-    st.sidebar.header("Moving Average Methods")
-    
-    # SMA with tooltip
-    with st.sidebar.expander("Simple Moving Average", expanded=False):
-        use_sma = st.checkbox(
-            'Simple Moving Average (SMA)', 
-            value=st.session_state.get('use_sma', False),
-            help="Select to apply Simple Moving Average (SMA) to the stock price."
-        )
-        
-        sma_period = st.number_input(
-            'SMA Period', 
-            min_value=1, 
-            value=st.session_state.get('sma_period', 50), 
-            step=1, 
-            disabled=not use_sma,
-            help="Specify the period (in days) for the SMA."
-        )
-    
-    # EMA with tooltip
-    with st.sidebar.expander("Exponential Moving Average (EMA)", expanded=False):
-        use_ema = st.checkbox(
-            'Enable EMA', 
-            value=st.session_state.get('use_ema', False),
-            help="Select to apply Exponential Moving Average (EMA) to the stock price."
-        )
-        ema_period = st.number_input(
-            'EMA Period', 
-            min_value=1, 
-            value=st.session_state.get('ema_period', 50), 
-            step=1, 
-            disabled=not use_ema,
-            help="Specify the period (in days) for the EMA."
-        )
-    
-    # WMA with tooltip
-    with st.sidebar.expander("Weighted Moving Average (WMA)", expanded=False):
-        use_wma = st.checkbox(
-            'Enable WMA', 
-            value=st.session_state.get('use_wma', False),
-            help="Select to apply Weighted Moving Average (WMA) to the stock price."
-        )
-        wma_period = st.number_input(
-            'WMA Period', 
-            min_value=1, 
-            value=st.session_state.get('wma_period', 50), 
-            step=1, 
-            disabled=not use_wma,
-            help="Specify the period (in days) for the WMA."
-        )
-    
-    # DEMA with tooltip
-    with st.sidebar.expander("Double Exponential Moving Average (DEMA)", expanded=False):
-        use_dema = st.checkbox(
-            'Enable DEMA', 
-            value=st.session_state.get('use_dema', False),
-            help="Select to apply Double Exponential Moving Average (DEMA) to the stock price."
-        )
-        dema_period = st.number_input(
-            'DEMA Period', 
-            min_value=1, 
-            value=st.session_state.get('dema_period', 50), 
-            step=1, 
-            disabled=not use_dema,
-            help="Specify the period (in days) for the DEMA."
-        )
-    
-    # TEMA with tooltip
-    with st.sidebar.expander("Triple Exponential Moving Average (TEMA)", expanded=False):
-        use_tema = st.checkbox(
-            'Enable TEMA', 
-            value=st.session_state.get('use_tema', False),
-            help="Select to apply Triple Exponential Moving Average (TEMA) to the stock price."
-        )
-        tema_period = st.number_input(
-            'TEMA Period', 
-            min_value=1, 
-            value=st.session_state.get('tema_period', 50), 
-            step=1, 
-            disabled=not use_tema,
-            help="Specify the period (in days) for the TEMA."
-        )
-    
-    # VAMA with tooltip
-    with st.sidebar.expander("Volume-Adjusted Moving Average (VAMA)", expanded=False):
-        use_vama = st.checkbox(
-            'Enable VAMA', 
-            value=st.session_state.get('use_vama', False),
-            help="Select to apply Volume-Adjusted Moving Average (VAMA) to the stock price."
-        )
-        vama_period = st.number_input(
-            'VAMA Period', 
-            min_value=1, 
-            value=st.session_state.get('vama_period', 50), 
-            step=1, 
-            disabled=not use_vama,
-            help="Specify the period (in days) for the VAMA."
-        )
-    
-    # KAMA with tooltip
-    with st.sidebar.expander("Kaufman Adaptive Moving Average (KAMA)", expanded=False):
-        use_kama = st.checkbox(
-            'Enable KAMA', 
-            value=st.session_state.get('use_kama', False),
-            help="Select to apply Kaufman Adaptive Moving Average (KAMA) to the stock price."
-        )
-        kama_period = st.number_input(
-            'KAMA Period', 
-            min_value=1, 
-            value=st.session_state.get('kama_period', 10), 
-            step=1, 
-            disabled=not use_kama,
-            help="Specify the efficiency ratio period (in days) for the KAMA."
-        )
-        fastest_period = st.number_input(
-            'Fastest SC Period', 
-            min_value=1, 
-            value=st.session_state.get('fastest_period', 2), 
-            step=1, 
-            disabled=not use_kama,
-            help="Specify the fastest smoothing constant period."
-        )
-        slowest_period = st.number_input(
-            'Slowest SC Period', 
-            min_value=1, 
-            value=st.session_state.get('slowest_period', 30), 
-            step=1, 
-            disabled=not use_kama,
-            help="Specify the slowest smoothing constant period."
-        )
-    
-    # TMA with tooltip
-    with st.sidebar.expander("Triangular Moving Average (TMA)", expanded=False):
-        use_tma = st.checkbox(
-            'Enable TMA', 
-            value=st.session_state.get('use_tma', False),
-            help="Select to apply Triangular Moving Average (TMA) to the stock price."
-        )
-        tma_period = st.number_input(
-            'TMA Period', 
-            min_value=1, 
-            value=st.session_state.get('tma_period', 20), 
-            step=1, 
-            disabled=not use_tma,
-            help="Specify the period (in days) for the TMA."
-        )
+    #st.sidebar.header("Moving Average Methods")
 
-    # Hull MA with tooltip
-    with st.sidebar.expander("Hull Moving Average (HMA)", expanded=False):
-        use_hull_ma = st.checkbox(
-            'Enable HMA', 
-            value=st.session_state.get('use_hull_ma', False),
-            help="Select to apply Hull Moving Average (HMA) to the stock price."
-        )
-        hull_ma_period = st.number_input(
-            'HMA Period', 
-            min_value=1, 
-            value=st.session_state.get('hull_ma_period', 120), 
-            step=1, 
-            disabled=not use_hull_ma,
-            help="Specify the period (in days) for the Hull Moving Average."
-        )
+    with st.sidebar.expander("Moving Average Methods", expanded=False):
     
-    # Harmonic MA with tooltip
-    with st.sidebar.expander("Harmonic Moving Average (HMA)", expanded=False):
-        use_harmonic_ma = st.checkbox(
-            'Enable HMA', 
-            value=st.session_state.get('use_harmonic_ma', False),
-            help="Select to apply Harmonic Moving Average (HMA) to the stock price."
-        )
-        harmonic_ma_period = st.number_input(
-            'HMA Period', 
-            min_value=1, 
-            value=st.session_state.get('harmonic_ma_period', 120), 
-            step=1, 
-            disabled=not use_harmonic_ma,
-            help="Specify the period (in days) for the Harmonic Moving Average."
-        )
-    
-    # FRAMA with tooltip
-    with st.sidebar.expander("Fractal Adaptive Moving Average (FRAMA)", expanded=False):
-        use_frama = st.checkbox(
-            'Enable FRAMA', 
-            value=st.session_state.get('use_frama', False),
-            help="Select to apply Fractal Adaptive Moving Average (FRAMA) to the stock price."
-        )
-        frama_batch = st.number_input(
-            'FRAMA Batch Size', 
-            min_value=1, 
-            value=st.session_state.get('frama_batch', 10), 
-            step=1, 
-            disabled=not use_frama,
-            help="Specify the batch size for FRAMA calculation."
-        )
-    
-    # ZLEMA with tooltip
-    with st.sidebar.expander("Zero Lag Exponential Moving Average (ZLEMA)", expanded=False):
-        use_zlema = st.checkbox(
-            'Enable ZLEMA', 
-            value=st.session_state.get('use_zlema', False),
-            help="Select to apply Zero Lag Exponential Moving Average (ZLEMA) to the stock price."
-        )
-        zlema_period = st.number_input(
-            'ZLEMA Period', 
-            min_value=1, 
-            value=st.session_state.get('zlema_period', 28), 
-            step=1, 
-            disabled=not use_zlema,
-            help="Specify the period (in days) for the ZLEMA."
-        )
-    
-    # VIDYA with tooltip
-    with st.sidebar.expander("Variable Index Dynamic Average (VIDYA)", expanded=False):
-        use_vidya = st.checkbox(
-            'Enable VIDYA', 
-            value=st.session_state.get('use_vidya', False),
-            help="Select to apply Variable Index Dynamic Average (VIDYA) to the stock price."
-        )
-        vidya_period = st.number_input(
-            'VIDYA Period', 
-            min_value=1, 
-            value=st.session_state.get('vidya_period', 14), 
-            step=1, 
-            disabled=not use_vidya,
-            help="Specify the period (in days) for the VIDYA."
-        )
-    
-    # ALMA with tooltip
-    with st.sidebar.expander("Arnaud Legoux Moving Average (ALMA)", expanded=False):
-        use_alma = st.checkbox(
-            'Enable ALMA', 
-            value=st.session_state.get('use_alma', False),
-            help="Select to apply Arnaud Legoux Moving Average (ALMA) to the stock price."
-        )
-        alma_period = st.number_input(
-            'ALMA Period', 
-            min_value=1, 
-            value=st.session_state.get('alma_period', 36), 
-            step=1, 
-            disabled=not use_alma,
-            help="Specify the period (in days) for the ALMA."
-        )
-        alma_offset = st.number_input(
-            'ALMA Offset', 
-            min_value=0.0, 
-            max_value=1.0, 
-            value=st.session_state.get('alma_offset', 0.85), 
-            step=0.01, 
-            disabled=not use_alma,
-            help="Specify the offset for the ALMA (0 to 1)."
-        )
-        alma_sigma = st.number_input(
-            'ALMA Sigma', 
-            min_value=1, 
-            value=st.session_state.get('alma_sigma', 6), 
-            step=1, 
-            disabled=not use_alma,
-            help="Specify the sigma for the ALMA."
-        )
-    
-    # MAMA and FAMA with tooltip
-    with st.sidebar.expander("MESA Adaptive Moving Average (MAMA) & FAMA", expanded=False):
-        use_mama_fama = st.checkbox(
-            'Enable MAMA & FAMA', 
-            value=st.session_state.get('use_mama_fama', False),
-            help="Select to apply MESA Adaptive Moving Average (MAMA) and Following Adaptive Moving Average (FAMA) to the stock price."
-        )
-        mama_fast_limit = st.number_input(
-            'MAMA Fast Limit', 
-            min_value=0.0, 
-            max_value=1.0, 
-            value=st.session_state.get('mama_fast_limit', 0.5), 
-            step=0.01, 
-            disabled=not use_mama_fama,
-            help="Specify the fast limit for MAMA (0 to 1)."
-        )
-        mama_slow_limit = st.number_input(
-            'MAMA Slow Limit', 
-            min_value=0.0, 
-            max_value=1.0, 
-            value=st.session_state.get('mama_slow_limit', 0.05), 
-            step=0.01, 
-            disabled=not use_mama_fama,
-            help="Specify the slow limit for MAMA (0 to 1)."
-        )
-
-    # APMA with tooltip
-    with st.sidebar.expander("Adaptive Period Moving Average (APMA)", expanded=False):
-        use_apma = st.checkbox(
-            'Enable APMA', 
-            value=st.session_state.get('use_apma', False),
-            help="Select to apply Adaptive Period Moving Average (APMA) to the stock price."
-        )
-        apma_min_period = st.number_input(
-            'APMA Min Period', 
-            min_value=1, 
-            value=st.session_state.get('apma_min_period', 5), 
-            step=1, 
-            disabled=not use_apma,
-            help="Specify the minimum period for the APMA."
-        )
-        apma_max_period = st.number_input(
-            'APMA Max Period', 
-            min_value=1, 
-            value=st.session_state.get('apma_max_period', 30), 
-            step=1, 
-            disabled=not use_apma,
-            help="Specify the maximum period for the APMA."
-        )
-    
-    # Rainbow EMA with tooltip
-    with st.sidebar.expander("Rainbow Moving Average (EMA)", expanded=False):
-        use_rainbow_ema = st.checkbox(
-            'Enable Rainbow EMA', 
-            value=st.session_state.get('use_rainbow_ema', False),
-            help="Select to apply Rainbow Moving Average (EMA) with multiple lookback periods to the stock price."
-        )
-        rainbow_lookback_periods = st.multiselect(
-            'Rainbow Lookback Periods', 
-            options=[2, 4, 8, 16, 32, 64, 128, 192, 320, 512],
-            default=st.session_state.get('rainbow_lookback_periods', [2, 4, 8, 16, 32, 64, 128]),
-            disabled=not use_rainbow_ema,
-            help="Select multiple lookback periods for the Rainbow EMA."
-        )
-    
-    # Wilders MA with tooltip
-    with st.sidebar.expander("Wilders Moving Average (Wilder's MA)", expanded=False):
-        use_wilders_ma = st.checkbox(
-            'Enable Wilders MA', 
-            value=st.session_state.get('use_wilders_ma', False),
-            help="Select to apply Wilder's Moving Average to the stock price."
-        )
-        wilders_ma_period = st.number_input(
-            'Wilders MA Period', 
-            min_value=1, 
-            value=st.session_state.get('wilders_ma_period', 14), 
-            step=1, 
-            disabled=not use_wilders_ma,
-            help="Specify the period (in days) for Wilder's Moving Average."
-        )
-    
-    # SMMA with tooltip
-    with st.sidebar.expander("Smoothed Moving Average (SMMA)", expanded=False):
-        use_smma = st.checkbox(
-            'Enable SMMA', 
-            value=st.session_state.get('use_smma', False),
-            help="Select to apply Smoothed Moving Average (SMMA) to the stock price."
-        )
-        smma_period = st.number_input(
-            'SMMA Period', 
-            min_value=1, 
-            value=st.session_state.get('smma_period', 28), 
-            step=1, 
-            disabled=not use_smma,
-            help="Specify the period (in days) for the SMMA."
-        )
-    
-    # GMMA with tooltip
-    with st.sidebar.expander("Guppy Multiple Moving Average (GMMA)", expanded=False):
-        use_gmma = st.checkbox(
-            'Enable GMMA', 
-            value=st.session_state.get('use_gmma', False),
-            help="Select to apply Guppy Multiple Moving Average (GMMA) to the stock price."
-        )
-        gmma_short_periods = st.multiselect(
-            'GMMA Short Periods', 
-            options=[3, 5, 8, 10, 12, 15],
-            default=st.session_state.get('gmma_short_periods', [3, 5, 8, 10, 12, 15]),
-            disabled=not use_gmma,
-            help="Select the short-term periods for GMMA."
-        )
-        gmma_long_periods = st.multiselect(
-            'GMMA Long Periods', 
-            options=[30, 35, 40, 45, 50, 60],
-            default=st.session_state.get('gmma_long_periods', [30, 35, 40, 45, 50, 60]),
-            disabled=not use_gmma,
-            help="Select the long-term periods for GMMA."
-        )
-    
-    # LSMA with tooltip
-    with st.sidebar.expander("Least Squares Moving Average (LSMA)", expanded=False):
-        use_lsma = st.checkbox(
-            'Enable LSMA', 
-            value=st.session_state.get('use_lsma', False),
-            help="Select to apply Least Squares Moving Average (LSMA) to the stock price."
-        )
-        lsma_period = st.number_input(
-            'LSMA Period', 
-            min_value=1, 
-            value=st.session_state.get('lsma_period', 28), 
-            step=1, 
-            disabled=not use_lsma,
-            help="Specify the period (in days) for the LSMA."
-        )
-    
-    # MMA (Welch's MMA) with tooltip
-    with st.sidebar.expander("Welch's Moving Average (MMA)", expanded=False):
-        use_mma = st.checkbox(
-            'Enable MMA', 
-            value=st.session_state.get('use_mma', False),
-            help="Select to apply Welch's Moving Average (Modified Moving Average) to the stock price."
-        )
-        mma_period = st.number_input(
-            'MMA Period', 
-            min_value=1, 
-            value=st.session_state.get('mma_period', 14), 
-            step=1, 
-            disabled=not use_mma,
-            help="Specify the period (in days) for the MMA."
-        )
-    
-    # SinWMA with tooltip
-    with st.sidebar.expander("Sin-weighted Moving Average (SinWMA)", expanded=False):
-        use_sinwma = st.checkbox(
-            'Enable SinWMA', 
-            value=st.session_state.get('use_sinwma', False),
-            help="Select to apply Sin-weighted Moving Average (SinWMA) to the stock price."
-        )
-        sinwma_period = st.number_input(
-            'SinWMA Period', 
-            min_value=1, 
-            value=st.session_state.get('sinwma_period', 21), 
-            step=1, 
-            disabled=not use_sinwma,
-            help="Specify the period (in days) for the SinWMA."
-        )
-    
-    # MedMA with tooltip
-    with st.sidebar.expander("Median Moving Average (MedMA)", expanded=False):
-        use_medma = st.checkbox(
-            'Enable MedMA', 
-            value=st.session_state.get('use_medma', False),
-            help="Select to apply Median Moving Average (MedMA) to the stock price."
-        )
-        medma_period = st.number_input(
-            'MedMA Period', 
-            min_value=1, 
-            value=st.session_state.get('medma_period', 20), 
-            step=1, 
-            disabled=not use_medma,
-            help="Specify the period (in days) for the MedMA."
-        )
-    
-    # GMA with tooltip
-    with st.sidebar.expander("Geometric Moving Average (GMA)", expanded=False):
-        use_gma = st.checkbox(
-            'Enable GMA', 
-            value=st.session_state.get('use_gma', False),
-            help="Select to apply Geometric Moving Average (GMA) to the stock price."
-        )
-        gma_period = st.number_input(
-            'GMA Period', 
-            min_value=1, 
-            value=st.session_state.get('gma_period', 20), 
-            step=1, 
-            disabled=not use_gma,
-            help="Specify the period (in days) for the GMA."
-        )
-    
-    # eVWMA with tooltip
-    with st.sidebar.expander("Elastic Volume Weighted Moving Average (eVWMA)", expanded=False):
-        use_evwma = st.checkbox(
-            'Enable eVWMA', 
-            value=st.session_state.get('use_evwma', False),
-            help="Select to apply Elastic Volume Weighted Moving Average (eVWMA) to the stock price."
-        )
-        evwma_period = st.number_input(
-            'eVWMA Period', 
-            min_value=1, 
-            value=st.session_state.get('evwma_period', 20), 
-            step=1, 
-            disabled=not use_evwma,
-            help="Specify the period (in days) for the eVWMA."
-        )
-
-    # REMA with tooltip
-    with st.sidebar.expander("Regularized Exponential Moving Average (REMA)", expanded=False):
-        use_rema = st.checkbox(
-            'Enable REMA', 
-            value=st.session_state.get('use_rema', False),
-            help="Select to apply Regularized Exponential Moving Average (REMA) to the stock price."
-        )
-        rema_alpha = st.number_input(
-            'REMA Alpha', 
-            min_value=0.0, 
-            max_value=1.0, 
-            value=st.session_state.get('rema_alpha', 0.1), 
-            step=0.01, 
-            disabled=not use_rema,
-            help="Specify the alpha value for the REMA (0 to 1)."
-        )
-        rema_lambda = st.number_input(
-            'REMA Lambda', 
-            min_value=0.0, 
-            max_value=1.0, 
-            value=st.session_state.get('rema_lambda', 0.1), 
-            step=0.01, 
-            disabled=not use_rema,
-            help="Specify the lambda value for the REMA (0 to 1)."
-        )
-    
-    # PWMA with tooltip
-    with st.sidebar.expander("Parabolic Weighted Moving Average (PWMA)", expanded=False):
-        use_pwma = st.checkbox(
-            'Enable PWMA', 
-            value=st.session_state.get('use_pwma', False),
-            help="Select to apply Parabolic Weighted Moving Average (PWMA) to the stock price."
-        )
-        pwma_period = st.number_input(
-            'PWMA Period', 
-            min_value=1, 
-            value=st.session_state.get('pwma_period', 14), 
-            step=1, 
-            disabled=not use_pwma,
-            help="Specify the period (in days) for the PWMA."
-        )
+        # SMA with tooltip
+        with st.expander("Simple Moving Average", expanded=False):
+            use_sma = st.checkbox(
+                'Simple Moving Average (SMA)', 
+                value=st.session_state.get('use_sma', False),
+                help="Select to apply Simple Moving Average (SMA) to the stock price."
+            )
+            
+            sma_period = st.number_input(
+                'SMA Period', 
+                min_value=1, 
+                value=st.session_state.get('sma_period', 50), 
+                step=1, 
+                disabled=not use_sma,
+                help="Specify the period (in days) for the SMA."
+            )
+        
+        # EMA with tooltip
+        with st.expander("Exponential Moving Average (EMA)", expanded=False):
+            use_ema = st.checkbox(
+                'Enable EMA', 
+                value=st.session_state.get('use_ema', False),
+                help="Select to apply Exponential Moving Average (EMA) to the stock price."
+            )
+            ema_period = st.number_input(
+                'EMA Period', 
+                min_value=1, 
+                value=st.session_state.get('ema_period', 50), 
+                step=1, 
+                disabled=not use_ema,
+                help="Specify the period (in days) for the EMA."
+            )
+        
+        # WMA with tooltip
+        with st.expander("Weighted Moving Average (WMA)", expanded=False):
+            use_wma = st.checkbox(
+                'Enable WMA', 
+                value=st.session_state.get('use_wma', False),
+                help="Select to apply Weighted Moving Average (WMA) to the stock price."
+            )
+            wma_period = st.number_input(
+                'WMA Period', 
+                min_value=1, 
+                value=st.session_state.get('wma_period', 50), 
+                step=1, 
+                disabled=not use_wma,
+                help="Specify the period (in days) for the WMA."
+            )
+        
+        # DEMA with tooltip
+        with st.expander("Double Exponential Moving Average (DEMA)", expanded=False):
+            use_dema = st.checkbox(
+                'Enable DEMA', 
+                value=st.session_state.get('use_dema', False),
+                help="Select to apply Double Exponential Moving Average (DEMA) to the stock price."
+            )
+            dema_period = st.number_input(
+                'DEMA Period', 
+                min_value=1, 
+                value=st.session_state.get('dema_period', 50), 
+                step=1, 
+                disabled=not use_dema,
+                help="Specify the period (in days) for the DEMA."
+            )
+        
+        # TEMA with tooltip
+        with st.expander("Triple Exponential Moving Average (TEMA)", expanded=False):
+            use_tema = st.checkbox(
+                'Enable TEMA', 
+                value=st.session_state.get('use_tema', False),
+                help="Select to apply Triple Exponential Moving Average (TEMA) to the stock price."
+            )
+            tema_period = st.number_input(
+                'TEMA Period', 
+                min_value=1, 
+                value=st.session_state.get('tema_period', 50), 
+                step=1, 
+                disabled=not use_tema,
+                help="Specify the period (in days) for the TEMA."
+            )
+        
+        # VAMA with tooltip
+        with st.expander("Volume-Adjusted Moving Average (VAMA)", expanded=False):
+            use_vama = st.checkbox(
+                'Enable VAMA', 
+                value=st.session_state.get('use_vama', False),
+                help="Select to apply Volume-Adjusted Moving Average (VAMA) to the stock price."
+            )
+            vama_period = st.number_input(
+                'VAMA Period', 
+                min_value=1, 
+                value=st.session_state.get('vama_period', 50), 
+                step=1, 
+                disabled=not use_vama,
+                help="Specify the period (in days) for the VAMA."
+            )
+        
+        # KAMA with tooltip
+        with st.expander("Kaufman Adaptive Moving Average (KAMA)", expanded=False):
+            use_kama = st.checkbox(
+                'Enable KAMA', 
+                value=st.session_state.get('use_kama', False),
+                help="Select to apply Kaufman Adaptive Moving Average (KAMA) to the stock price."
+            )
+            kama_period = st.number_input(
+                'KAMA Period', 
+                min_value=1, 
+                value=st.session_state.get('kama_period', 10), 
+                step=1, 
+                disabled=not use_kama,
+                help="Specify the efficiency ratio period (in days) for the KAMA."
+            )
+            fastest_period = st.number_input(
+                'Fastest SC Period', 
+                min_value=1, 
+                value=st.session_state.get('fastest_period', 2), 
+                step=1, 
+                disabled=not use_kama,
+                help="Specify the fastest smoothing constant period."
+            )
+            slowest_period = st.number_input(
+                'Slowest SC Period', 
+                min_value=1, 
+                value=st.session_state.get('slowest_period', 30), 
+                step=1, 
+                disabled=not use_kama,
+                help="Specify the slowest smoothing constant period."
+            )
+        
+        # TMA with tooltip
+        with st.expander("Triangular Moving Average (TMA)", expanded=False):
+            use_tma = st.checkbox(
+                'Enable TMA', 
+                value=st.session_state.get('use_tma', False),
+                help="Select to apply Triangular Moving Average (TMA) to the stock price."
+            )
+            tma_period = st.number_input(
+                'TMA Period', 
+                min_value=1, 
+                value=st.session_state.get('tma_period', 20), 
+                step=1, 
+                disabled=not use_tma,
+                help="Specify the period (in days) for the TMA."
+            )
     
-    # JMA with tooltip
-    with st.sidebar.expander("Jurik Moving Average (JMA)", expanded=False):
-        use_jma = st.checkbox(
-            'Enable JMA', 
-            value=st.session_state.get('use_jma', False),
-            help="Select to apply Jurik Moving Average (JMA) to the stock price."
-        )
-        jma_period = st.number_input(
-            'JMA Period', 
-            min_value=1, 
-            value=st.session_state.get('jma_period', 28), 
-            step=1, 
-            disabled=not use_jma,
-            help="Specify the period (in days) for the JMA."
-        )
-        jma_phase = st.number_input(
-            'JMA Phase', 
-            min_value=-100.0, 
-            max_value=100.0, 
-            value=st.session_state.get('jma_phase', 0.0), 
-            step=0.1, 
-            disabled=not use_jma,
-            help="Specify the phase for the JMA (-100 to 100)."
-        )
+        # Hull MA with tooltip
+        with st.expander("Hull Moving Average (HMA)", expanded=False):
+            use_hull_ma = st.checkbox(
+                'Enable HMA', 
+                value=st.session_state.get('use_hull_ma', False),
+                help="Select to apply Hull Moving Average (HMA) to the stock price."
+            )
+            hull_ma_period = st.number_input(
+                'HMA Period', 
+                min_value=1, 
+                value=st.session_state.get('hull_ma_period', 120), 
+                step=1, 
+                disabled=not use_hull_ma,
+                help="Specify the period (in days) for the Hull Moving Average."
+            )
+        
+        # Harmonic MA with tooltip
+        with st.expander("Harmonic Moving Average (HMA)", expanded=False):
+            use_harmonic_ma = st.checkbox(
+                'Enable HMA', 
+                value=st.session_state.get('use_harmonic_ma', False),
+                help="Select to apply Harmonic Moving Average (HMA) to the stock price."
+            )
+            harmonic_ma_period = st.number_input(
+                'HMA Period', 
+                min_value=1, 
+                value=st.session_state.get('harmonic_ma_period', 120), 
+                step=1, 
+                disabled=not use_harmonic_ma,
+                help="Specify the period (in days) for the Harmonic Moving Average."
+            )
+        
+        # FRAMA with tooltip
+        with st.expander("Fractal Adaptive Moving Average (FRAMA)", expanded=False):
+            use_frama = st.checkbox(
+                'Enable FRAMA', 
+                value=st.session_state.get('use_frama', False),
+                help="Select to apply Fractal Adaptive Moving Average (FRAMA) to the stock price."
+            )
+            frama_batch = st.number_input(
+                'FRAMA Batch Size', 
+                min_value=1, 
+                value=st.session_state.get('frama_batch', 10), 
+                step=1, 
+                disabled=not use_frama,
+                help="Specify the batch size for FRAMA calculation."
+            )
+        
+        # ZLEMA with tooltip
+        with st.expander("Zero Lag Exponential Moving Average (ZLEMA)", expanded=False):
+            use_zlema = st.checkbox(
+                'Enable ZLEMA', 
+                value=st.session_state.get('use_zlema', False),
+                help="Select to apply Zero Lag Exponential Moving Average (ZLEMA) to the stock price."
+            )
+            zlema_period = st.number_input(
+                'ZLEMA Period', 
+                min_value=1, 
+                value=st.session_state.get('zlema_period', 28), 
+                step=1, 
+                disabled=not use_zlema,
+                help="Specify the period (in days) for the ZLEMA."
+            )
+        
+        # VIDYA with tooltip
+        with st.expander("Variable Index Dynamic Average (VIDYA)", expanded=False):
+            use_vidya = st.checkbox(
+                'Enable VIDYA', 
+                value=st.session_state.get('use_vidya', False),
+                help="Select to apply Variable Index Dynamic Average (VIDYA) to the stock price."
+            )
+            vidya_period = st.number_input(
+                'VIDYA Period', 
+                min_value=1, 
+                value=st.session_state.get('vidya_period', 14), 
+                step=1, 
+                disabled=not use_vidya,
+                help="Specify the period (in days) for the VIDYA."
+            )
+        
+        # ALMA with tooltip
+        with st.expander("Arnaud Legoux Moving Average (ALMA)", expanded=False):
+            use_alma = st.checkbox(
+                'Enable ALMA', 
+                value=st.session_state.get('use_alma', False),
+                help="Select to apply Arnaud Legoux Moving Average (ALMA) to the stock price."
+            )
+            alma_period = st.number_input(
+                'ALMA Period', 
+                min_value=1, 
+                value=st.session_state.get('alma_period', 36), 
+                step=1, 
+                disabled=not use_alma,
+                help="Specify the period (in days) for the ALMA."
+            )
+            alma_offset = st.number_input(
+                'ALMA Offset', 
+                min_value=0.0, 
+                max_value=1.0, 
+                value=st.session_state.get('alma_offset', 0.85), 
+                step=0.01, 
+                disabled=not use_alma,
+                help="Specify the offset for the ALMA (0 to 1)."
+            )
+            alma_sigma = st.number_input(
+                'ALMA Sigma', 
+                min_value=1, 
+                value=st.session_state.get('alma_sigma', 6), 
+                step=1, 
+                disabled=not use_alma,
+                help="Specify the sigma for the ALMA."
+            )
+        
+        # MAMA and FAMA with tooltip
+        with st.expander("MESA Adaptive Moving Average (MAMA) & FAMA", expanded=False):
+            use_mama_fama = st.checkbox(
+                'Enable MAMA & FAMA', 
+                value=st.session_state.get('use_mama_fama', False),
+                help="Select to apply MESA Adaptive Moving Average (MAMA) and Following Adaptive Moving Average (FAMA) to the stock price."
+            )
+            mama_fast_limit = st.number_input(
+                'MAMA Fast Limit', 
+                min_value=0.0, 
+                max_value=1.0, 
+                value=st.session_state.get('mama_fast_limit', 0.5), 
+                step=0.01, 
+                disabled=not use_mama_fama,
+                help="Specify the fast limit for MAMA (0 to 1)."
+            )
+            mama_slow_limit = st.number_input(
+                'MAMA Slow Limit', 
+                min_value=0.0, 
+                max_value=1.0, 
+                value=st.session_state.get('mama_slow_limit', 0.05), 
+                step=0.01, 
+                disabled=not use_mama_fama,
+                help="Specify the slow limit for MAMA (0 to 1)."
+            )
     
-    # EPMA with tooltip
-    with st.sidebar.expander("End Point Moving Average (EPMA)", expanded=False):
-        use_epma = st.checkbox(
-            'Enable EPMA', 
-            value=st.session_state.get('use_epma', False),
-            help="Select to apply End Point Moving Average (EPMA) to the stock price."
-        )
-        epma_period = st.number_input(
-            'EPMA Period', 
-            min_value=1, 
-            value=st.session_state.get('epma_period', 28), 
-            step=1, 
-            disabled=not use_epma,
-            help="Specify the period (in days) for the EPMA."
-        )
+        # APMA with tooltip
+        with st.expander("Adaptive Period Moving Average (APMA)", expanded=False):
+            use_apma = st.checkbox(
+                'Enable APMA', 
+                value=st.session_state.get('use_apma', False),
+                help="Select to apply Adaptive Period Moving Average (APMA) to the stock price."
+            )
+            apma_min_period = st.number_input(
+                'APMA Min Period', 
+                min_value=1, 
+                value=st.session_state.get('apma_min_period', 5), 
+                step=1, 
+                disabled=not use_apma,
+                help="Specify the minimum period for the APMA."
+            )
+            apma_max_period = st.number_input(
+                'APMA Max Period', 
+                min_value=1, 
+                value=st.session_state.get('apma_max_period', 30), 
+                step=1, 
+                disabled=not use_apma,
+                help="Specify the maximum period for the APMA."
+            )
+        
+        # Rainbow EMA with tooltip
+        with st.expander("Rainbow Moving Average (EMA)", expanded=False):
+            use_rainbow_ema = st.checkbox(
+                'Enable Rainbow EMA', 
+                value=st.session_state.get('use_rainbow_ema', False),
+                help="Select to apply Rainbow Moving Average (EMA) with multiple lookback periods to the stock price."
+            )
+            rainbow_lookback_periods = st.multiselect(
+                'Rainbow Lookback Periods', 
+                options=[2, 4, 8, 16, 32, 64, 128, 192, 320, 512],
+                default=st.session_state.get('rainbow_lookback_periods', [2, 4, 8, 16, 32, 64, 128]),
+                disabled=not use_rainbow_ema,
+                help="Select multiple lookback periods for the Rainbow EMA."
+            )
+        
+        # Wilders MA with tooltip
+        with st.expander("Wilders Moving Average (Wilder's MA)", expanded=False):
+            use_wilders_ma = st.checkbox(
+                'Enable Wilders MA', 
+                value=st.session_state.get('use_wilders_ma', False),
+                help="Select to apply Wilder's Moving Average to the stock price."
+            )
+            wilders_ma_period = st.number_input(
+                'Wilders MA Period', 
+                min_value=1, 
+                value=st.session_state.get('wilders_ma_period', 14), 
+                step=1, 
+                disabled=not use_wilders_ma,
+                help="Specify the period (in days) for Wilder's Moving Average."
+            )
+        
+        # SMMA with tooltip
+        with st.expander("Smoothed Moving Average (SMMA)", expanded=False):
+            use_smma = st.checkbox(
+                'Enable SMMA', 
+                value=st.session_state.get('use_smma', False),
+                help="Select to apply Smoothed Moving Average (SMMA) to the stock price."
+            )
+            smma_period = st.number_input(
+                'SMMA Period', 
+                min_value=1, 
+                value=st.session_state.get('smma_period', 28), 
+                step=1, 
+                disabled=not use_smma,
+                help="Specify the period (in days) for the SMMA."
+            )
+        
+        # GMMA with tooltip
+        with st.expander("Guppy Multiple Moving Average (GMMA)", expanded=False):
+            use_gmma = st.checkbox(
+                'Enable GMMA', 
+                value=st.session_state.get('use_gmma', False),
+                help="Select to apply Guppy Multiple Moving Average (GMMA) to the stock price."
+            )
+            gmma_short_periods = st.multiselect(
+                'GMMA Short Periods', 
+                options=[3, 5, 8, 10, 12, 15],
+                default=st.session_state.get('gmma_short_periods', [3, 5, 8, 10, 12, 15]),
+                disabled=not use_gmma,
+                help="Select the short-term periods for GMMA."
+            )
+            gmma_long_periods = st.multiselect(
+                'GMMA Long Periods', 
+                options=[30, 35, 40, 45, 50, 60],
+                default=st.session_state.get('gmma_long_periods', [30, 35, 40, 45, 50, 60]),
+                disabled=not use_gmma,
+                help="Select the long-term periods for GMMA."
+            )
+        
+        # LSMA with tooltip
+        with st.expander("Least Squares Moving Average (LSMA)", expanded=False):
+            use_lsma = st.checkbox(
+                'Enable LSMA', 
+                value=st.session_state.get('use_lsma', False),
+                help="Select to apply Least Squares Moving Average (LSMA) to the stock price."
+            )
+            lsma_period = st.number_input(
+                'LSMA Period', 
+                min_value=1, 
+                value=st.session_state.get('lsma_period', 28), 
+                step=1, 
+                disabled=not use_lsma,
+                help="Specify the period (in days) for the LSMA."
+            )
+        
+        # MMA (Welch's MMA) with tooltip
+        with st.expander("Welch's Moving Average (MMA)", expanded=False):
+            use_mma = st.checkbox(
+                'Enable MMA', 
+                value=st.session_state.get('use_mma', False),
+                help="Select to apply Welch's Moving Average (Modified Moving Average) to the stock price."
+            )
+            mma_period = st.number_input(
+                'MMA Period', 
+                min_value=1, 
+                value=st.session_state.get('mma_period', 14), 
+                step=1, 
+                disabled=not use_mma,
+                help="Specify the period (in days) for the MMA."
+            )
+        
+        # SinWMA with tooltip
+        with st.expander("Sin-weighted Moving Average (SinWMA)", expanded=False):
+            use_sinwma = st.checkbox(
+                'Enable SinWMA', 
+                value=st.session_state.get('use_sinwma', False),
+                help="Select to apply Sin-weighted Moving Average (SinWMA) to the stock price."
+            )
+            sinwma_period = st.number_input(
+                'SinWMA Period', 
+                min_value=1, 
+                value=st.session_state.get('sinwma_period', 21), 
+                step=1, 
+                disabled=not use_sinwma,
+                help="Specify the period (in days) for the SinWMA."
+            )
+        
+        # MedMA with tooltip
+        with st.expander("Median Moving Average (MedMA)", expanded=False):
+            use_medma = st.checkbox(
+                'Enable MedMA', 
+                value=st.session_state.get('use_medma', False),
+                help="Select to apply Median Moving Average (MedMA) to the stock price."
+            )
+            medma_period = st.number_input(
+                'MedMA Period', 
+                min_value=1, 
+                value=st.session_state.get('medma_period', 20), 
+                step=1, 
+                disabled=not use_medma,
+                help="Specify the period (in days) for the MedMA."
+            )
+        
+        # GMA with tooltip
+        with st.expander("Geometric Moving Average (GMA)", expanded=False):
+            use_gma = st.checkbox(
+                'Enable GMA', 
+                value=st.session_state.get('use_gma', False),
+                help="Select to apply Geometric Moving Average (GMA) to the stock price."
+            )
+            gma_period = st.number_input(
+                'GMA Period', 
+                min_value=1, 
+                value=st.session_state.get('gma_period', 20), 
+                step=1, 
+                disabled=not use_gma,
+                help="Specify the period (in days) for the GMA."
+            )
+        
+        # eVWMA with tooltip
+        with st.expander("Elastic Volume Weighted Moving Average (eVWMA)", expanded=False):
+            use_evwma = st.checkbox(
+                'Enable eVWMA', 
+                value=st.session_state.get('use_evwma', False),
+                help="Select to apply Elastic Volume Weighted Moving Average (eVWMA) to the stock price."
+            )
+            evwma_period = st.number_input(
+                'eVWMA Period', 
+                min_value=1, 
+                value=st.session_state.get('evwma_period', 20), 
+                step=1, 
+                disabled=not use_evwma,
+                help="Specify the period (in days) for the eVWMA."
+            )
     
-    # CMA with tooltip
-    with st.sidebar.expander("Chande Moving Average (CMA)", expanded=False):
-        use_cma = st.checkbox(
-            'Enable CMA', 
-            value=st.session_state.get('use_cma', False),
-            help="Select to apply Chande Moving Average (CMA) to the stock price."
-        )
-        cma_period = len(data['Close'])  # This does not require user input.
+        # REMA with tooltip
+        with st.expander("Regularized Exponential Moving Average (REMA)", expanded=False):
+            use_rema = st.checkbox(
+                'Enable REMA', 
+                value=st.session_state.get('use_rema', False),
+                help="Select to apply Regularized Exponential Moving Average (REMA) to the stock price."
+            )
+            rema_alpha = st.number_input(
+                'REMA Alpha', 
+                min_value=0.0, 
+                max_value=1.0, 
+                value=st.session_state.get('rema_alpha', 0.1), 
+                step=0.01, 
+                disabled=not use_rema,
+                help="Specify the alpha value for the REMA (0 to 1)."
+            )
+            rema_lambda = st.number_input(
+                'REMA Lambda', 
+                min_value=0.0, 
+                max_value=1.0, 
+                value=st.session_state.get('rema_lambda', 0.1), 
+                step=0.01, 
+                disabled=not use_rema,
+                help="Specify the lambda value for the REMA (0 to 1)."
+            )
+        
+        # PWMA with tooltip
+        with st.expander("Parabolic Weighted Moving Average (PWMA)", expanded=False):
+            use_pwma = st.checkbox(
+                'Enable PWMA', 
+                value=st.session_state.get('use_pwma', False),
+                help="Select to apply Parabolic Weighted Moving Average (PWMA) to the stock price."
+            )
+            pwma_period = st.number_input(
+                'PWMA Period', 
+                min_value=1, 
+                value=st.session_state.get('pwma_period', 14), 
+                step=1, 
+                disabled=not use_pwma,
+                help="Specify the period (in days) for the PWMA."
+            )
+        
+        # JMA with tooltip
+        with st.expander("Jurik Moving Average (JMA)", expanded=False):
+            use_jma = st.checkbox(
+                'Enable JMA', 
+                value=st.session_state.get('use_jma', False),
+                help="Select to apply Jurik Moving Average (JMA) to the stock price."
+            )
+            jma_period = st.number_input(
+                'JMA Period', 
+                min_value=1, 
+                value=st.session_state.get('jma_period', 28), 
+                step=1, 
+                disabled=not use_jma,
+                help="Specify the period (in days) for the JMA."
+            )
+            jma_phase = st.number_input(
+                'JMA Phase', 
+                min_value=-100.0, 
+                max_value=100.0, 
+                value=st.session_state.get('jma_phase', 0.0), 
+                step=0.1, 
+                disabled=not use_jma,
+                help="Specify the phase for the JMA (-100 to 100)."
+            )
+        
+        # EPMA with tooltip
+        with st.expander("End Point Moving Average (EPMA)", expanded=False):
+            use_epma = st.checkbox(
+                'Enable EPMA', 
+                value=st.session_state.get('use_epma', False),
+                help="Select to apply End Point Moving Average (EPMA) to the stock price."
+            )
+            epma_period = st.number_input(
+                'EPMA Period', 
+                min_value=1, 
+                value=st.session_state.get('epma_period', 28), 
+                step=1, 
+                disabled=not use_epma,
+                help="Specify the period (in days) for the EPMA."
+            )
+        
+        # CMA with tooltip
+        with st.expander("Chande Moving Average (CMA)", expanded=False):
+            use_cma = st.checkbox(
+                'Enable CMA', 
+                value=st.session_state.get('use_cma', False),
+                help="Select to apply Chande Moving Average (CMA) to the stock price."
+            )
+            cma_period = len(data['Close'])  # This does not require user input.
+        
+        # McGinley Dynamic with tooltip
+        with st.expander("McGinley Dynamic", expanded=False):
+            use_mcginley_dynamic = st.checkbox(
+                'Enable McGinley Dynamic', 
+                value=st.session_state.get('use_mcginley_dynamic', False),
+                help="Select to apply McGinley Dynamic to the stock price."
+            )
+            mcginley_dynamic_period = st.number_input(
+                'McGinley Dynamic Period', 
+                min_value=1, 
+                value=st.session_state.get('mcginley_dynamic_period', 14), 
+                step=1, 
+                disabled=not use_mcginley_dynamic,
+                help="Specify the period (in days) for the McGinley Dynamic."
+            )
     
-    # McGinley Dynamic with tooltip
-    with st.sidebar.expander("McGinley Dynamic", expanded=False):
-        use_mcginley_dynamic = st.checkbox(
-            'Enable McGinley Dynamic', 
-            value=st.session_state.get('use_mcginley_dynamic', False),
-            help="Select to apply McGinley Dynamic to the stock price."
-        )
-        mcginley_dynamic_period = st.number_input(
-            'McGinley Dynamic Period', 
-            min_value=1, 
-            value=st.session_state.get('mcginley_dynamic_period', 14), 
-            step=1, 
-            disabled=not use_mcginley_dynamic,
-            help="Specify the period (in days) for the McGinley Dynamic."
-        )
-
-    # Filtered Moving Average (FMA) with tooltip
-    with st.sidebar.expander("Filtered Moving Average (FMA)", expanded=False):
-        use_fma = st.checkbox(
-            'Enable FMA', 
-            value=st.session_state.get('use_fma', False),
-            help="Select to apply Filtered Moving Average (FMA) to the stock price."
-        )
-        fma_period = st.number_input(
-            'FMA Period', 
-            min_value=1, 
-            value=st.session_state.get('fma_period', 14), 
-            step=1, 
-            disabled=not use_fma,
-            help="Specify the period (in days) for the FMA."
-        )    
+        # Filtered Moving Average (FMA) with tooltip
+        with st.expander("Filtered Moving Average (FMA)", expanded=False):
+            use_fma = st.checkbox(
+                'Enable FMA', 
+                value=st.session_state.get('use_fma', False),
+                help="Select to apply Filtered Moving Average (FMA) to the stock price."
+            )
+            fma_period = st.number_input(
+                'FMA Period', 
+                min_value=1, 
+                value=st.session_state.get('fma_period', 14), 
+                step=1, 
+                disabled=not use_fma,
+                help="Specify the period (in days) for the FMA."
+            )    
 
 
     # Anchored Moving Average (AMA) with tooltip